diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -421,7 +421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="52" name="Constant_113442" type="Const" version="opset1">
+		<layer id="52" name="Constant_33821" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
@@ -457,7 +457,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="55" name="Constant_113444" type="Const" version="opset1">
+		<layer id="55" name="Constant_33823" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
@@ -552,7 +552,7 @@
 				<port id="0" precision="I64" names="/nncf_module/bert/embeddings/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="63" name="Constant_113383" type="Const" version="opset1">
+		<layer id="63" name="Constant_33762" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
@@ -571,7 +571,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/embeddings/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="65" name="Constant_113386" type="Const" version="opset1">
+		<layer id="65" name="Constant_33765" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -634,7 +634,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="70" name="Constant_113447" type="Const" version="opset1">
+		<layer id="70" name="Constant_33826" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
@@ -683,7 +683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="Constant_113450" type="Const" version="opset1">
+		<layer id="73" name="Constant_33829" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -757,7 +757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="Constant_113455" type="Const" version="opset1">
+		<layer id="78" name="Constant_33834" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -903,129 +903,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="88" name="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="95610912" size="4" />
+		<layer id="88" name="onnx::MatMul_1531" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="95610912" size="2359296" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="89" name="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="95610916" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="90" name="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="91" name="/nncf_module/bert/encoder/layer.0/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="95610920" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="92" name="Convert_140726" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="93" name="Constant_140663" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="96200744" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="94" name="/nncf_module/bert/encoder/layer.0/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="95" name="Constant_113470" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="96" name="/nncf_module/bert/encoder/layer.0/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1531">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="97" name="/nncf_module/bert/encoder/layer.0/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="89" name="/nncf_module/bert/encoder/layer.0/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1046,7 +933,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="98" name="/nncf_module/bert/encoder/layer.0/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="90" name="/nncf_module/bert/encoder/layer.0/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1066,52 +953,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="99" name="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="96203832" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="100" name="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="96203836" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="101" name="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="102" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="91" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1126,19 +968,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="92" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="104" name="Constant_113770" type="Const" version="opset1">
+		<layer id="93" name="Constant_34120" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="105" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="94" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1151,7 +993,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="106" name="Constant_113776" type="Const" version="opset1">
+		<layer id="95" name="Constant_34126" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1159,7 +1001,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="96" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1172,7 +1014,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="97" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1187,19 +1029,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="98" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="110" name="Constant_113774" type="Const" version="opset1">
+		<layer id="99" name="Constant_34124" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="111" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="100" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1212,7 +1054,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="112" name="Constant_113778" type="Const" version="opset1">
+		<layer id="101" name="Constant_34128" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1220,7 +1062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="102" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1233,23 +1075,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="103" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="104" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="105" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1271,7 +1113,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="106" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1292,15 +1134,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="Constant_113902" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="107" name="Constant_34252" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="108" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1321,121 +1163,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="nncf_module.bert.encoder.layer.0.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="96203888" size="3072" />
+		<layer id="109" name="nncf_module.bert.encoder.layer.0.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="97970256" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.0.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="122" name="/nncf_module/bert/encoder/layer.0/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="96206960" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="123" name="Convert_140847" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="124" name="Constant_140784" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="96796784" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="125" name="/nncf_module/bert/encoder/layer.0/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="126" name="Constant_113482" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="127" name="/nncf_module/bert/encoder/layer.0/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="110" name="onnx::MatMul_1532" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="97973328" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1532">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="/nncf_module/bert/encoder/layer.0/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="111" name="/nncf_module/bert/encoder/layer.0/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1456,7 +1201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="/nncf_module/bert/encoder/layer.0/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="112" name="/nncf_module/bert/encoder/layer.0/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1476,52 +1221,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="96799856" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="131" name="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="96799860" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="132" name="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="133" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="113" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1536,19 +1236,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="134" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant" type="Const" version="opset1">
+		<layer id="114" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="135" name="Constant_113491" type="Const" version="opset1">
+		<layer id="115" name="Constant_33848" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="136" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="116" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1561,7 +1261,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="137" name="Constant_113497" type="Const" version="opset1">
+		<layer id="117" name="Constant_33854" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1569,7 +1269,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="118" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1582,7 +1282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="119" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1597,19 +1297,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="120" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="141" name="Constant_113495" type="Const" version="opset1">
+		<layer id="121" name="Constant_33852" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="142" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="122" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1622,7 +1322,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="143" name="Constant_113499" type="Const" version="opset1">
+		<layer id="123" name="Constant_33856" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1630,7 +1330,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="124" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -1643,23 +1343,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="125" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="126" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="127" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -1681,7 +1381,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="128" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1702,15 +1402,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="Constant_113904" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="129" name="Constant_34254" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="130" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1731,7 +1431,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="/nncf_module/bert/encoder/layer.0/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="131" name="/nncf_module/bert/encoder/layer.0/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1756,13 +1456,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
+		<layer id="132" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="153" name="/nncf_module/bert/encoder/layer.0/attention/self/Div" type="Divide" version="opset1">
+		<layer id="133" name="/nncf_module/bert/encoder/layer.0/attention/self/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1782,13 +1482,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="/nncf_module/bert/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="134" name="/nncf_module/bert/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="155" name="Constant_113372" type="Const" version="opset1">
+		<layer id="135" name="Constant_33751" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -1796,7 +1496,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="/nncf_module/bert/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="136" name="/nncf_module/bert/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64">
 					<dim>-1</dim>
@@ -1814,15 +1514,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Constant_113374" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96799904" size="8" />
+		<layer id="137" name="Constant_33753" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="100332664" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="/nncf_module/bert/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="138" name="/nncf_module/bert/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64">
 					<dim>-1</dim>
@@ -1842,7 +1542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="/nncf_module/bert/Cast" type="Convert" version="opset1">
+		<layer id="139" name="/nncf_module/bert/Cast" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I64">
@@ -1861,7 +1561,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="160" name="/nncf_module/bert/Sub" type="Subtract" version="opset1">
+		<layer id="140" name="/nncf_module/bert/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -1881,13 +1581,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="/nncf_module/bert/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799912" size="4" />
+		<layer id="141" name="/nncf_module/bert/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332672" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="162" name="/nncf_module/bert/Mul" type="Multiply" version="opset1">
+		<layer id="142" name="/nncf_module/bert/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1907,7 +1607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="163" name="/nncf_module/bert/encoder/layer.0/attention/self/Add" type="Add" version="opset1">
+		<layer id="143" name="/nncf_module/bert/encoder/layer.0/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1932,7 +1632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="164" name="/nncf_module/bert/encoder/layer.0/attention/self/Softmax" type="SoftMax" version="opset8">
+		<layer id="144" name="/nncf_module/bert/encoder/layer.0/attention/self/Softmax" type="SoftMax" version="opset8">
 			<data axis="3" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1951,16 +1651,25 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="nncf_module.bert.encoder.layer.0.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="96799916" size="3072" />
+		<layer id="145" name="nncf_module.bert.encoder.layer.0.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="100332676" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.0.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="/nncf_module/bert/encoder/layer.0/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="146" name="onnx::MatMul_1535" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="100335748" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_1535">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="/nncf_module/bert/encoder/layer.0/attention/self/value/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1968,114 +1677,8 @@
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="167" name="/nncf_module/bert/encoder/layer.0/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="96802988" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="168" name="Convert_140968" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="169" name="Constant_140905" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="97392812" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="170" name="/nncf_module/bert/encoder/layer.0/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="171" name="Constant_113628" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="172" name="/nncf_module/bert/encoder/layer.0/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/value/Transpose_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="173" name="/nncf_module/bert/encoder/layer.0/attention/self/value/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>768</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
@@ -2086,7 +1689,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="/nncf_module/bert/encoder/layer.0/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="148" name="/nncf_module/bert/encoder/layer.0/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2106,7 +1709,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="149" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2121,19 +1724,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="150" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="177" name="Constant_113634" type="Const" version="opset1">
+		<layer id="151" name="Constant_33984" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="178" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="152" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2146,7 +1749,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="179" name="Constant_113640" type="Const" version="opset1">
+		<layer id="153" name="Constant_33990" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2154,7 +1757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="154" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2167,7 +1770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="155" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2182,19 +1785,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="156" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="183" name="Constant_113638" type="Const" version="opset1">
+		<layer id="157" name="Constant_33988" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="184" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="158" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2207,7 +1810,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="185" name="Constant_113642" type="Const" version="opset1">
+		<layer id="159" name="Constant_33992" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2215,7 +1818,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="160" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2228,23 +1831,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="161" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="162" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="163" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2266,7 +1869,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="190" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="164" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2287,15 +1890,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="Constant_113766" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="165" name="Constant_34116" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="192" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="166" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2316,7 +1919,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="/nncf_module/bert/encoder/layer.0/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="167" name="/nncf_module/bert/encoder/layer.0/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2341,62 +1944,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="/nncf_module/bert/encoder/layer.0/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="97395884" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="195" name="/nncf_module/bert/encoder/layer.0/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="97395888" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="196" name="/nncf_module/bert/encoder/layer.0/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="197" name="Constant_113915" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="168" name="Constant_34262" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="198" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="169" name="/nncf_module/bert/encoder/layer.0/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2417,7 +1973,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="170" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2433,19 +1989,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="171" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="201" name="Constant_113919" type="Const" version="opset1">
+		<layer id="172" name="Constant_34266" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="202" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="173" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2458,7 +2014,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="203" name="Constant_113925" type="Const" version="opset1">
+		<layer id="174" name="Constant_34272" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2466,7 +2022,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="204" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="175" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2479,7 +2035,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="205" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="176" name="/nncf_module/bert/encoder/layer.0/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2495,19 +2051,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="206" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="177" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="207" name="Constant_113923" type="Const" version="opset1">
+		<layer id="178" name="Constant_34270" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="208" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="179" name="/nncf_module/bert/encoder/layer.0/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2520,7 +2076,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="209" name="Constant_113927" type="Const" version="opset1">
+		<layer id="180" name="Constant_34274" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2528,7 +2084,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="181" name="/nncf_module/bert/encoder/layer.0/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -2541,15 +2097,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="182" name="/nncf_module/bert/encoder/layer.0/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.0/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="183" name="/nncf_module/bert/encoder/layer.0/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -2568,7 +2124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="184" name="/nncf_module/bert/encoder/layer.0/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2589,84 +2145,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="214" name="/nncf_module/bert/encoder/layer.0/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="97395900" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="215" name="Convert_141089" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="216" name="Constant_141026" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="97985724" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="217" name="/nncf_module/bert/encoder/layer.0/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="218" name="Constant_114048" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="219" name="/nncf_module/bert/encoder/layer.0/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="185" name="onnx::MatMul_1541" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="102695052" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1541">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="220" name="/nncf_module/bert/encoder/layer.0/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="186" name="/nncf_module/bert/encoder/layer.0/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2687,7 +2175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="221" name="/nncf_module/bert/encoder/layer.0/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="187" name="/nncf_module/bert/encoder/layer.0/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2707,7 +2195,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="222" name="/nncf_module/bert/encoder/layer.0/attention/output/Add" type="Add" version="opset1">
+		<layer id="188" name="/nncf_module/bert/encoder/layer.0/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2729,7 +2217,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="Constant_114053" type="Const" version="opset1">
+		<layer id="189" name="Constant_34394" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2737,7 +2225,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="190" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2757,7 +2245,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="191" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2779,13 +2267,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="192" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="227" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="193" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2803,7 +2291,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="Constant_114058" type="Const" version="opset1">
+		<layer id="194" name="Constant_34399" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -2811,7 +2299,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="195" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2831,13 +2319,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="196" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="231" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="197" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2855,7 +2343,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="198" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2871,7 +2359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="199" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2893,15 +2381,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="nncf_module.bert.encoder.layer.0.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="97988796" size="3072" />
+		<layer id="200" name="nncf_module.bert.encoder.layer.0.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="105054348" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.0.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="201" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2921,15 +2409,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="nncf_module.bert.encoder.layer.0.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="97991868" size="3072" />
+		<layer id="202" name="nncf_module.bert.encoder.layer.0.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="105057420" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.0.attention.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="203" name="/nncf_module/bert/encoder/layer.0/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2949,24 +2437,17 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="238" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="97994940" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="239" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="97994944" size="4" />
+		<layer id="204" name="onnx::MatMul_1542" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="105060492" size="9437184" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="onnx::MatMul_1542">
+					<dim>768</dim>
+					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="205" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2974,169 +2455,63 @@
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="241" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="97994948" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
 					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="242" name="Convert_141210" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
 					<dim>3072</dim>
-					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="243" name="Constant_141147" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="100354244" size="12288" />
-			<output>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/MatMul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="244" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="206" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>3072</dim>
-					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
-					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/Add_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="Constant_114073" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="207" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="246" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="208" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/Transpose_output_0">
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Div_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/MatMul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="248" name="/nncf_module/bert/encoder/layer.0/intermediate/dense/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/dense/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="249" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_output_0" />
-			</output>
-		</layer>
-		<layer id="250" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="251" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="209" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3152,13 +2527,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="210" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="253" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="211" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3176,7 +2551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="212" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3198,13 +2573,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="213" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="256" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="214" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3222,129 +2597,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="100366540" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="258" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="100366544" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="259" name="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.0/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="260" name="/nncf_module/bert/encoder/layer.0/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="100366548" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="261" name="Convert_141331" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="262" name="Constant_141268" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="102725844" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="263" name="/nncf_module/bert/encoder/layer.0/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="264" name="Constant_114092" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="215" name="onnx::MatMul_1543" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="114497684" size="9437184" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="265" name="/nncf_module/bert/encoder/layer.0/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.0/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1543">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="/nncf_module/bert/encoder/layer.0/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="216" name="/nncf_module/bert/encoder/layer.0/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3365,7 +2627,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="/nncf_module/bert/encoder/layer.0/output/dense/Add" type="Add" version="opset1">
+		<layer id="217" name="/nncf_module/bert/encoder/layer.0/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3385,7 +2647,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="/nncf_module/bert/encoder/layer.0/output/Add" type="Add" version="opset1">
+		<layer id="218" name="/nncf_module/bert/encoder/layer.0/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3407,7 +2669,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="Constant_114097" type="Const" version="opset1">
+		<layer id="219" name="Constant_34420" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -3415,7 +2677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="220" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3435,7 +2697,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="221" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3457,13 +2719,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="222" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="273" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="223" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3481,7 +2743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="Constant_114102" type="Const" version="opset1">
+		<layer id="224" name="Constant_34425" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -3489,7 +2751,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="225" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3509,13 +2771,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="226" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="277" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="227" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3533,7 +2795,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="228" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -3549,7 +2811,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="229" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3571,15 +2833,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="nncf_module.bert.encoder.layer.0.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="102728916" size="3072" />
+		<layer id="230" name="nncf_module.bert.encoder.layer.0.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="123934868" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.0.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="231" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3599,15 +2861,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="nncf_module.bert.encoder.layer.0.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="102731988" size="3072" />
+		<layer id="232" name="nncf_module.bert.encoder.layer.0.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="123937940" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.0.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="233" name="/nncf_module/bert/encoder/layer.0/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3627,129 +2889,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="102735060" size="4" />
+		<layer id="234" name="onnx::MatMul_1544" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="123941012" size="2359296" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="285" name="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="102735064" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="286" name="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="287" name="/nncf_module/bert/encoder/layer.1/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="102735068" size="589824" />
-			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP32" names="onnx::MatMul_1544">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="Convert_141452" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="289" name="Constant_141389" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="103324892" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="290" name="/nncf_module/bert/encoder/layer.1/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="291" name="Constant_114117" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="292" name="/nncf_module/bert/encoder/layer.1/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/Transpose_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="293" name="/nncf_module/bert/encoder/layer.1/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="235" name="/nncf_module/bert/encoder/layer.1/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3770,7 +2919,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="/nncf_module/bert/encoder/layer.1/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="236" name="/nncf_module/bert/encoder/layer.1/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3790,52 +2939,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="103327964" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="296" name="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="103327968" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="297" name="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="298" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="237" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3850,19 +2954,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="238" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="300" name="Constant_114417" type="Const" version="opset1">
+		<layer id="239" name="Constant_34711" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="301" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="240" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -3875,7 +2979,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="302" name="Constant_114423" type="Const" version="opset1">
+		<layer id="241" name="Constant_34717" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -3883,7 +2987,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="242" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -3896,7 +3000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="243" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3911,19 +3015,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="244" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="306" name="Constant_114421" type="Const" version="opset1">
+		<layer id="245" name="Constant_34715" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="307" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="246" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -3936,7 +3040,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="308" name="Constant_114425" type="Const" version="opset1">
+		<layer id="247" name="Constant_34719" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -3944,7 +3048,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="309" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="248" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -3957,23 +3061,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="249" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="250" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="251" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -3995,7 +3099,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="313" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="252" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4016,15 +3120,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="314" name="Constant_114549" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="253" name="Constant_34843" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="254" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4045,121 +3149,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="nncf_module.bert.encoder.layer.1.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="103327972" size="3072" />
+		<layer id="255" name="nncf_module.bert.encoder.layer.1.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="126300308" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="318" name="/nncf_module/bert/encoder/layer.1/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="103331044" size="589824" />
+		<layer id="256" name="onnx::MatMul_1545" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="126303380" size="2359296" />
 			<output>
-				<port id="0" precision="I8">
+				<port id="0" precision="FP32" names="onnx::MatMul_1545">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="319" name="Convert_141573" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="320" name="Constant_141510" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="103920868" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="321" name="/nncf_module/bert/encoder/layer.1/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="322" name="Constant_114129" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="323" name="/nncf_module/bert/encoder/layer.1/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/key/Transpose_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="324" name="/nncf_module/bert/encoder/layer.1/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="257" name="/nncf_module/bert/encoder/layer.1/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4180,7 +3187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="325" name="/nncf_module/bert/encoder/layer.1/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="258" name="/nncf_module/bert/encoder/layer.1/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4200,52 +3207,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="103923940" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="327" name="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="103923944" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="328" name="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="329" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="259" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4260,19 +3222,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant" type="Const" version="opset1">
+		<layer id="260" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="331" name="Constant_114138" type="Const" version="opset1">
+		<layer id="261" name="Constant_34439" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="332" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="262" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4285,7 +3247,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="333" name="Constant_114144" type="Const" version="opset1">
+		<layer id="263" name="Constant_34445" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4293,7 +3255,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="264" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4306,7 +3268,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="265" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4321,19 +3283,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="266" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="337" name="Constant_114142" type="Const" version="opset1">
+		<layer id="267" name="Constant_34443" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="338" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="268" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4346,7 +3308,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="339" name="Constant_114146" type="Const" version="opset1">
+		<layer id="269" name="Constant_34447" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4354,7 +3316,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="270" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4367,23 +3329,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="271" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="272" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="273" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4405,7 +3367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="274" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4426,15 +3388,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="345" name="Constant_114551" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="275" name="Constant_34845" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="346" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="276" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4455,7 +3417,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="347" name="/nncf_module/bert/encoder/layer.1/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="277" name="/nncf_module/bert/encoder/layer.1/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4474,197 +3436,100 @@
 			<output>
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/MatMul_output_0">
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="348" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_12_output_0" />
-			</output>
-		</layer>
-		<layer id="349" name="/nncf_module/bert/encoder/layer.1/attention/self/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="350" name="/nncf_module/bert/encoder/layer.1/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="351" name="/nncf_module/bert/encoder/layer.1/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="352" name="nncf_module.bert.encoder.layer.1.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="103923948" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="353" name="/nncf_module/bert/encoder/layer.1/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
+					<dim>12</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="/nncf_module/bert/encoder/layer.1/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="103927020" size="589824" />
+		<layer id="278" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="355" name="Convert_141694" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="279" name="/nncf_module/bert/encoder/layer.1/attention/self/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="356" name="Constant_141631" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="104516844" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="/nncf_module/bert/encoder/layer.1/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="280" name="/nncf_module/bert/encoder/layer.1/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="Constant_114275" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="281" name="/nncf_module/bert/encoder/layer.1/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="/nncf_module/bert/encoder/layer.1/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="282" name="nncf_module.bert.encoder.layer.1.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="128662676" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="283" name="onnx::MatMul_1548" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="128665748" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1548">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="/nncf_module/bert/encoder/layer.1/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="284" name="/nncf_module/bert/encoder/layer.1/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4685,7 +3550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="/nncf_module/bert/encoder/layer.1/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="285" name="/nncf_module/bert/encoder/layer.1/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4705,7 +3570,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="286" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4720,19 +3585,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="287" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="364" name="Constant_114281" type="Const" version="opset1">
+		<layer id="288" name="Constant_34575" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="365" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="289" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4745,7 +3610,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="366" name="Constant_114287" type="Const" version="opset1">
+		<layer id="290" name="Constant_34581" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4753,7 +3618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="291" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4766,7 +3631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="292" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4781,19 +3646,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="293" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="370" name="Constant_114285" type="Const" version="opset1">
+		<layer id="294" name="Constant_34579" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="371" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="295" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4806,7 +3671,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="372" name="Constant_114289" type="Const" version="opset1">
+		<layer id="296" name="Constant_34583" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -4814,7 +3679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="297" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -4827,23 +3692,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="298" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="299" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="300" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -4865,7 +3730,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="301" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4886,15 +3751,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="Constant_114413" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="302" name="Constant_34707" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="303" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -4915,7 +3780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="/nncf_module/bert/encoder/layer.1/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="304" name="/nncf_module/bert/encoder/layer.1/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4940,62 +3805,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="/nncf_module/bert/encoder/layer.1/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="104519916" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="382" name="/nncf_module/bert/encoder/layer.1/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="104519920" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="383" name="/nncf_module/bert/encoder/layer.1/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="384" name="Constant_114562" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="305" name="Constant_34853" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="306" name="/nncf_module/bert/encoder/layer.1/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5016,7 +3834,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="307" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5032,19 +3850,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="308" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="388" name="Constant_114566" type="Const" version="opset1">
+		<layer id="309" name="Constant_34857" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="389" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="310" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5057,7 +3875,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="390" name="Constant_114572" type="Const" version="opset1">
+		<layer id="311" name="Constant_34863" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5065,7 +3883,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="312" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -5078,7 +3896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="313" name="/nncf_module/bert/encoder/layer.1/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5094,19 +3912,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="314" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="394" name="Constant_114570" type="Const" version="opset1">
+		<layer id="315" name="Constant_34861" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="395" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="316" name="/nncf_module/bert/encoder/layer.1/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5119,7 +3937,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="396" name="Constant_114574" type="Const" version="opset1">
+		<layer id="317" name="Constant_34865" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5127,7 +3945,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="318" name="/nncf_module/bert/encoder/layer.1/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -5140,15 +3958,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="319" name="/nncf_module/bert/encoder/layer.1/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.1/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="320" name="/nncf_module/bert/encoder/layer.1/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -5167,7 +3985,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="321" name="/nncf_module/bert/encoder/layer.1/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5188,84 +4006,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="/nncf_module/bert/encoder/layer.1/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="104519924" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="402" name="Convert_141815" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="403" name="Constant_141752" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="105109748" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="404" name="/nncf_module/bert/encoder/layer.1/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="405" name="Constant_114695" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="406" name="/nncf_module/bert/encoder/layer.1/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="322" name="onnx::MatMul_1554" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="131025044" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1554">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="/nncf_module/bert/encoder/layer.1/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="323" name="/nncf_module/bert/encoder/layer.1/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5286,7 +4036,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="/nncf_module/bert/encoder/layer.1/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="324" name="/nncf_module/bert/encoder/layer.1/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5306,7 +4056,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="409" name="/nncf_module/bert/encoder/layer.1/attention/output/Add" type="Add" version="opset1">
+		<layer id="325" name="/nncf_module/bert/encoder/layer.1/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5328,7 +4078,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="Constant_114700" type="Const" version="opset1">
+		<layer id="326" name="Constant_34985" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5336,7 +4086,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="327" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5356,7 +4106,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="328" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5378,13 +4128,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="413" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="329" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="414" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="330" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5402,7 +4152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="415" name="Constant_114705" type="Const" version="opset1">
+		<layer id="331" name="Constant_34990" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -5410,7 +4160,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="332" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5430,142 +4180,48 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="417" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="95604764" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Constant_1_output_0" />
-			</output>
-		</layer>
-		<layer id="418" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="419" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Sqrt_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="420" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="421" name="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="105112820" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="422" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="423" name="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="105115892" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
+		<layer id="333" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="95604764" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="424" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="334" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="105118964" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
+		<layer id="335" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="426" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="105118968" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Sqrt_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="336" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5573,104 +4229,85 @@
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="428" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="105118972" size="2359296" />
+		<layer id="337" name="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="133384340" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="429" name="Convert_141936" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="338" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="430" name="Constant_141873" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="107478268" size="12288" />
+		<layer id="339" name="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="133387412" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="340" name="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="Constant_114720" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="433" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="341" name="onnx::MatMul_1555" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="133390484" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1555">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="342" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5691,7 +4328,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="435" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="343" name="/nncf_module/bert/encoder/layer.1/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5711,13 +4348,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="436" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="344" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="437" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="345" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5735,7 +4372,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="346" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5751,13 +4388,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="347" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="440" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="348" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5775,7 +4412,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="349" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5797,13 +4434,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="442" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="350" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="443" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="351" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5821,129 +4458,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="444" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="107490556" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="445" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="107490560" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="446" name="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.1/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="447" name="/nncf_module/bert/encoder/layer.1/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="107490564" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="448" name="Convert_142057" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="449" name="Constant_141994" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="109849860" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="450" name="/nncf_module/bert/encoder/layer.1/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="451" name="Constant_114739" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="452" name="/nncf_module/bert/encoder/layer.1/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="352" name="onnx::MatMul_1556" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="142827668" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.1/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1556">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="/nncf_module/bert/encoder/layer.1/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="353" name="/nncf_module/bert/encoder/layer.1/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5964,7 +4488,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="/nncf_module/bert/encoder/layer.1/output/dense/Add" type="Add" version="opset1">
+		<layer id="354" name="/nncf_module/bert/encoder/layer.1/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5984,7 +4508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="/nncf_module/bert/encoder/layer.1/output/Add" type="Add" version="opset1">
+		<layer id="355" name="/nncf_module/bert/encoder/layer.1/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6006,7 +4530,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="Constant_114744" type="Const" version="opset1">
+		<layer id="356" name="Constant_35011" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6014,7 +4538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="357" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6034,7 +4558,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="358" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6056,13 +4580,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="359" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="460" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="360" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6080,7 +4604,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="Constant_114749" type="Const" version="opset1">
+		<layer id="361" name="Constant_35016" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6088,7 +4612,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="362" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6108,13 +4632,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="363" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="464" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="364" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6132,7 +4656,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="465" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="365" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6148,7 +4672,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="366" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6170,15 +4694,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="nncf_module.bert.encoder.layer.1.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="109852932" size="3072" />
+		<layer id="367" name="nncf_module.bert.encoder.layer.1.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="152264852" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="368" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6198,15 +4722,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="nncf_module.bert.encoder.layer.1.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="109856004" size="3072" />
+		<layer id="369" name="nncf_module.bert.encoder.layer.1.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="152267924" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.1.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="370" name="/nncf_module/bert/encoder/layer.1/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6226,129 +4750,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="109859076" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="472" name="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="109859080" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="473" name="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="474" name="/nncf_module/bert/encoder/layer.2/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="109859084" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="475" name="Convert_142178" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="476" name="Constant_142115" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="110448908" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="477" name="/nncf_module/bert/encoder/layer.2/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="478" name="Constant_114764" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="479" name="/nncf_module/bert/encoder/layer.2/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="371" name="onnx::MatMul_1557" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="152270996" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1557">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="/nncf_module/bert/encoder/layer.2/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="372" name="/nncf_module/bert/encoder/layer.2/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6369,7 +4780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="/nncf_module/bert/encoder/layer.2/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="373" name="/nncf_module/bert/encoder/layer.2/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6389,52 +4800,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="110451980" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="483" name="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="110451984" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="484" name="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="485" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="374" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6449,19 +4815,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="375" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="487" name="Constant_115064" type="Const" version="opset1">
+		<layer id="376" name="Constant_35302" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="488" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="377" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6474,7 +4840,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="489" name="Constant_115070" type="Const" version="opset1">
+		<layer id="378" name="Constant_35308" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6482,7 +4848,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="379" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6495,7 +4861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="380" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6510,19 +4876,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="381" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="493" name="Constant_115068" type="Const" version="opset1">
+		<layer id="382" name="Constant_35306" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="494" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="383" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6535,7 +4901,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="495" name="Constant_115072" type="Const" version="opset1">
+		<layer id="384" name="Constant_35310" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6543,7 +4909,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="385" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6556,23 +4922,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="386" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="387" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="388" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6594,7 +4960,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="389" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6615,15 +4981,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="Constant_115196" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="390" name="Constant_35434" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="391" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6644,121 +5010,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="nncf_module.bert.encoder.layer.2.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="110451988" size="3072" />
+		<layer id="392" name="nncf_module.bert.encoder.layer.2.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="154630292" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="505" name="/nncf_module/bert/encoder/layer.2/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="110455060" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="506" name="Convert_142299" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="507" name="Constant_142236" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="111044884" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="508" name="/nncf_module/bert/encoder/layer.2/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="509" name="Constant_114776" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="510" name="/nncf_module/bert/encoder/layer.2/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="393" name="onnx::MatMul_1558" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="154633364" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1558">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="/nncf_module/bert/encoder/layer.2/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="394" name="/nncf_module/bert/encoder/layer.2/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6779,7 +5048,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="/nncf_module/bert/encoder/layer.2/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="395" name="/nncf_module/bert/encoder/layer.2/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6799,52 +5068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="111047956" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="514" name="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="111047960" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="515" name="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="516" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="396" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6859,19 +5083,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant" type="Const" version="opset1">
+		<layer id="397" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="518" name="Constant_114785" type="Const" version="opset1">
+		<layer id="398" name="Constant_35030" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="519" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="399" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6884,7 +5108,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="520" name="Constant_114791" type="Const" version="opset1">
+		<layer id="400" name="Constant_35036" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6892,7 +5116,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="401" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6905,7 +5129,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="402" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6920,19 +5144,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="403" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="524" name="Constant_114789" type="Const" version="opset1">
+		<layer id="404" name="Constant_35034" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="525" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="405" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6945,7 +5169,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="526" name="Constant_114793" type="Const" version="opset1">
+		<layer id="406" name="Constant_35038" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -6953,7 +5177,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="407" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -6966,23 +5190,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="408" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="409" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="410" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7004,7 +5228,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="411" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7025,15 +5249,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="Constant_115198" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="412" name="Constant_35436" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="413" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7054,7 +5278,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="534" name="/nncf_module/bert/encoder/layer.2/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="414" name="/nncf_module/bert/encoder/layer.2/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7071,199 +5295,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/MatMul_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="535" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_12_output_0" />
-			</output>
-		</layer>
-		<layer id="536" name="/nncf_module/bert/encoder/layer.2/attention/self/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="537" name="/nncf_module/bert/encoder/layer.2/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="538" name="/nncf_module/bert/encoder/layer.2/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="539" name="nncf_module.bert.encoder.layer.2.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="111047964" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="540" name="/nncf_module/bert/encoder/layer.2/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/MatMul_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="/nncf_module/bert/encoder/layer.2/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="111051036" size="589824" />
+		<layer id="415" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="542" name="Convert_142420" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="416" name="/nncf_module/bert/encoder/layer.2/attention/self/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="543" name="Constant_142357" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="111640860" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="/nncf_module/bert/encoder/layer.2/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="417" name="/nncf_module/bert/encoder/layer.2/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="Constant_114922" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="418" name="/nncf_module/bert/encoder/layer.2/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="/nncf_module/bert/encoder/layer.2/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="419" name="nncf_module.bert.encoder.layer.2.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="156992660" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="420" name="onnx::MatMul_1561" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="156995732" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1561">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="/nncf_module/bert/encoder/layer.2/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="421" name="/nncf_module/bert/encoder/layer.2/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7284,7 +5411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="/nncf_module/bert/encoder/layer.2/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="422" name="/nncf_module/bert/encoder/layer.2/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7304,7 +5431,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="423" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7319,19 +5446,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="550" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="424" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="551" name="Constant_114928" type="Const" version="opset1">
+		<layer id="425" name="Constant_35166" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="552" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="426" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7344,7 +5471,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="553" name="Constant_114934" type="Const" version="opset1">
+		<layer id="427" name="Constant_35172" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7352,7 +5479,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="428" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7365,7 +5492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="555" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="429" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7380,19 +5507,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="556" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="430" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="557" name="Constant_114932" type="Const" version="opset1">
+		<layer id="431" name="Constant_35170" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="558" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="432" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7405,7 +5532,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="559" name="Constant_114936" type="Const" version="opset1">
+		<layer id="433" name="Constant_35174" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7413,7 +5540,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="560" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="434" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7426,23 +5553,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="435" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="436" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="563" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="437" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7464,7 +5591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="564" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="438" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7485,15 +5612,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="565" name="Constant_115060" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="439" name="Constant_35298" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="566" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="440" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7514,7 +5641,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="567" name="/nncf_module/bert/encoder/layer.2/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="441" name="/nncf_module/bert/encoder/layer.2/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7539,62 +5666,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="/nncf_module/bert/encoder/layer.2/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="111643932" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="569" name="/nncf_module/bert/encoder/layer.2/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="111643936" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="570" name="/nncf_module/bert/encoder/layer.2/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="571" name="Constant_115209" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="442" name="Constant_35444" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="572" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="443" name="/nncf_module/bert/encoder/layer.2/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7615,7 +5695,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="573" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="444" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7631,19 +5711,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="574" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="445" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="575" name="Constant_115213" type="Const" version="opset1">
+		<layer id="446" name="Constant_35448" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="576" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="447" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7656,7 +5736,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="577" name="Constant_115219" type="Const" version="opset1">
+		<layer id="448" name="Constant_35454" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7664,7 +5744,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="578" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="449" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7677,7 +5757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="450" name="/nncf_module/bert/encoder/layer.2/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7693,19 +5773,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="451" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="581" name="Constant_115217" type="Const" version="opset1">
+		<layer id="452" name="Constant_35452" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="582" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="453" name="/nncf_module/bert/encoder/layer.2/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7718,7 +5798,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="583" name="Constant_115221" type="Const" version="opset1">
+		<layer id="454" name="Constant_35456" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7726,7 +5806,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="584" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="455" name="/nncf_module/bert/encoder/layer.2/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -7739,15 +5819,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="585" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="456" name="/nncf_module/bert/encoder/layer.2/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.2/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="457" name="/nncf_module/bert/encoder/layer.2/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -7766,7 +5846,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="587" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="458" name="/nncf_module/bert/encoder/layer.2/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7787,84 +5867,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="588" name="/nncf_module/bert/encoder/layer.2/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="111643940" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="589" name="Convert_142541" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="590" name="Constant_142478" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="112233764" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="591" name="/nncf_module/bert/encoder/layer.2/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="592" name="Constant_115342" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="593" name="/nncf_module/bert/encoder/layer.2/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="459" name="onnx::MatMul_1567" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="159355028" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1567">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="594" name="/nncf_module/bert/encoder/layer.2/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="460" name="/nncf_module/bert/encoder/layer.2/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7885,7 +5897,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="595" name="/nncf_module/bert/encoder/layer.2/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="461" name="/nncf_module/bert/encoder/layer.2/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7905,7 +5917,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="596" name="/nncf_module/bert/encoder/layer.2/attention/output/Add" type="Add" version="opset1">
+		<layer id="462" name="/nncf_module/bert/encoder/layer.2/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7927,7 +5939,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="Constant_115347" type="Const" version="opset1">
+		<layer id="463" name="Constant_35576" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -7935,7 +5947,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="464" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7955,7 +5967,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="465" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7977,13 +5989,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="600" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="466" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="601" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="467" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8001,7 +6013,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="602" name="Constant_115352" type="Const" version="opset1">
+		<layer id="468" name="Constant_35581" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8009,7 +6021,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="603" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="469" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8029,13 +6041,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="604" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="470" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="605" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="471" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8053,7 +6065,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="606" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="472" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8069,7 +6081,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="607" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="473" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8084,192 +6096,79 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="608" name="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="112236836" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="609" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="610" name="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="112239908" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="611" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="612" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="112242980" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="613" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="112242984" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="614" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="112242988" size="2359296" />
+		<layer id="474" name="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="161714324" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="Convert_142662" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="475" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="Constant_142599" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="114602284" size="12288" />
+		<layer id="476" name="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="161717396" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="618" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="477" name="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="Constant_115367" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="478" name="onnx::MatMul_1568" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="161720468" size="9437184" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="620" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1568">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="621" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="479" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8290,7 +6189,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="622" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="480" name="/nncf_module/bert/encoder/layer.2/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8310,13 +6209,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="623" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="481" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="624" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="482" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8334,7 +6233,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="483" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8350,13 +6249,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="484" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="627" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="485" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8374,7 +6273,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="628" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="486" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8396,13 +6295,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="629" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="487" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="630" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="488" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8420,129 +6319,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="631" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="114614572" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="632" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="114614576" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="633" name="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.2/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="634" name="/nncf_module/bert/encoder/layer.2/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="114614580" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="635" name="Convert_142783" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="636" name="Constant_142720" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="116973876" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="637" name="/nncf_module/bert/encoder/layer.2/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="638" name="Constant_115386" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="639" name="/nncf_module/bert/encoder/layer.2/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="489" name="onnx::MatMul_1569" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="171157652" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1569">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="/nncf_module/bert/encoder/layer.2/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="490" name="/nncf_module/bert/encoder/layer.2/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8563,7 +6349,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="641" name="/nncf_module/bert/encoder/layer.2/output/dense/Add" type="Add" version="opset1">
+		<layer id="491" name="/nncf_module/bert/encoder/layer.2/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8583,7 +6369,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="642" name="/nncf_module/bert/encoder/layer.2/output/Add" type="Add" version="opset1">
+		<layer id="492" name="/nncf_module/bert/encoder/layer.2/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8605,7 +6391,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="643" name="Constant_115391" type="Const" version="opset1">
+		<layer id="493" name="Constant_35602" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8613,7 +6399,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="494" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8633,7 +6419,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="645" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="495" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8655,13 +6441,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="646" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="496" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="647" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="497" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8679,7 +6465,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="648" name="Constant_115396" type="Const" version="opset1">
+		<layer id="498" name="Constant_35607" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -8687,7 +6473,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="649" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="499" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8707,13 +6493,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="650" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="500" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="651" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="501" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8731,7 +6517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="652" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="502" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8747,7 +6533,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="653" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="503" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8769,15 +6555,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="654" name="nncf_module.bert.encoder.layer.2.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="116976948" size="3072" />
+		<layer id="504" name="nncf_module.bert.encoder.layer.2.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="180594836" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="655" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="505" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8797,158 +6583,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="656" name="nncf_module.bert.encoder.layer.2.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="116980020" size="3072" />
+		<layer id="506" name="nncf_module.bert.encoder.layer.2.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="180597908" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.2.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="657" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="658" name="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="116983092" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="659" name="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="116983096" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="660" name="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="661" name="/nncf_module/bert/encoder/layer.3/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="116983100" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="662" name="Convert_142904" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="663" name="Constant_142841" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="117572924" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="664" name="/nncf_module/bert/encoder/layer.3/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="665" name="Constant_115411" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="666" name="/nncf_module/bert/encoder/layer.3/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/Transpose_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="667" name="/nncf_module/bert/encoder/layer.3/attention/self/query/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="507" name="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8957,83 +6601,67 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>768</dim>
-					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.2/output/LayerNorm/Add_1_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="668" name="/nncf_module/bert/encoder/layer.3/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="508" name="onnx::MatMul_1570" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="180600980" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_1570">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="/nncf_module/bert/encoder/layer.3/attention/self/query/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/MatMul_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="669" name="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="117575996" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="670" name="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="117576000" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="671" name="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="510" name="/nncf_module/bert/encoder/layer.3/attention/self/query/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/query/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="672" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="511" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9048,19 +6676,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="673" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="512" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="674" name="Constant_115711" type="Const" version="opset1">
+		<layer id="513" name="Constant_35893" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="675" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="514" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9073,7 +6701,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="676" name="Constant_115717" type="Const" version="opset1">
+		<layer id="515" name="Constant_35899" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9081,7 +6709,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="677" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="516" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9094,7 +6722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="678" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="517" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9109,19 +6737,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="679" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="518" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="680" name="Constant_115715" type="Const" version="opset1">
+		<layer id="519" name="Constant_35897" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="681" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="520" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9134,7 +6762,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="682" name="Constant_115719" type="Const" version="opset1">
+		<layer id="521" name="Constant_35901" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9142,7 +6770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="683" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="522" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9155,23 +6783,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="684" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="523" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="685" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="524" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="686" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="525" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9193,7 +6821,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="687" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="526" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9214,15 +6842,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="688" name="Constant_115843" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="527" name="Constant_36025" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="689" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="528" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9243,121 +6871,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="690" name="nncf_module.bert.encoder.layer.3.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="117576004" size="3072" />
+		<layer id="529" name="nncf_module.bert.encoder.layer.3.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="182960276" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="691" name="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="692" name="/nncf_module/bert/encoder/layer.3/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="117579076" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="693" name="Convert_143025" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="694" name="Constant_142962" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="118168900" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="695" name="/nncf_module/bert/encoder/layer.3/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="696" name="Constant_115423" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="530" name="onnx::MatMul_1571" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="182963348" size="2359296" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="697" name="/nncf_module/bert/encoder/layer.3/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1571">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="698" name="/nncf_module/bert/encoder/layer.3/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="531" name="/nncf_module/bert/encoder/layer.3/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9378,7 +6909,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="699" name="/nncf_module/bert/encoder/layer.3/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="532" name="/nncf_module/bert/encoder/layer.3/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9398,52 +6929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="700" name="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="118171972" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="701" name="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="118171976" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="702" name="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="703" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="533" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9458,19 +6944,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="704" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant" type="Const" version="opset1">
+		<layer id="534" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="705" name="Constant_115432" type="Const" version="opset1">
+		<layer id="535" name="Constant_35621" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="706" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="536" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9483,7 +6969,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="707" name="Constant_115438" type="Const" version="opset1">
+		<layer id="537" name="Constant_35627" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9491,7 +6977,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="708" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="538" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9504,7 +6990,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="709" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="539" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9519,19 +7005,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="710" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="540" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="711" name="Constant_115436" type="Const" version="opset1">
+		<layer id="541" name="Constant_35625" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="712" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="542" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9544,7 +7030,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="713" name="Constant_115440" type="Const" version="opset1">
+		<layer id="543" name="Constant_35629" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9552,7 +7038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="714" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="544" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9565,23 +7051,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="715" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="545" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="716" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="546" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="717" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="547" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9603,7 +7089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="718" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="548" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9624,15 +7110,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="719" name="Constant_115845" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="549" name="Constant_36027" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="720" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="550" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9653,7 +7139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="721" name="/nncf_module/bert/encoder/layer.3/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="551" name="/nncf_module/bert/encoder/layer.3/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9672,197 +7158,100 @@
 			<output>
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/MatMul_output_0">
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="722" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_12_output_0" />
-			</output>
-		</layer>
-		<layer id="723" name="/nncf_module/bert/encoder/layer.3/attention/self/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="724" name="/nncf_module/bert/encoder/layer.3/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="725" name="/nncf_module/bert/encoder/layer.3/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="726" name="nncf_module.bert.encoder.layer.3.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="118171980" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="727" name="/nncf_module/bert/encoder/layer.3/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
+					<dim>12</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="728" name="/nncf_module/bert/encoder/layer.3/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="118175052" size="589824" />
+		<layer id="552" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="729" name="Convert_143146" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="553" name="/nncf_module/bert/encoder/layer.3/attention/self/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="730" name="Constant_143083" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="118764876" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="731" name="/nncf_module/bert/encoder/layer.3/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="554" name="/nncf_module/bert/encoder/layer.3/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="732" name="Constant_115569" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="555" name="/nncf_module/bert/encoder/layer.3/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="733" name="/nncf_module/bert/encoder/layer.3/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="556" name="nncf_module.bert.encoder.layer.3.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="185322644" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="557" name="onnx::MatMul_1574" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="185325716" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1574">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="734" name="/nncf_module/bert/encoder/layer.3/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="558" name="/nncf_module/bert/encoder/layer.3/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9883,7 +7272,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="735" name="/nncf_module/bert/encoder/layer.3/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="559" name="/nncf_module/bert/encoder/layer.3/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9903,7 +7292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="736" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="560" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9918,19 +7307,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="737" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="561" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="738" name="Constant_115575" type="Const" version="opset1">
+		<layer id="562" name="Constant_35757" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="739" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="563" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -9943,7 +7332,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="740" name="Constant_115581" type="Const" version="opset1">
+		<layer id="564" name="Constant_35763" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -9951,7 +7340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="741" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="565" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -9964,7 +7353,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="742" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="566" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -9979,19 +7368,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="743" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="567" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="744" name="Constant_115579" type="Const" version="opset1">
+		<layer id="568" name="Constant_35761" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="745" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="569" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10004,7 +7393,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="746" name="Constant_115583" type="Const" version="opset1">
+		<layer id="570" name="Constant_35765" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10012,7 +7401,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="747" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="571" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -10025,23 +7414,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="748" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="572" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="749" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="573" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="750" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="574" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10063,7 +7452,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="751" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="575" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10084,15 +7473,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="752" name="Constant_115707" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="576" name="Constant_35889" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="753" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="577" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10113,7 +7502,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="754" name="/nncf_module/bert/encoder/layer.3/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="578" name="/nncf_module/bert/encoder/layer.3/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10138,62 +7527,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="755" name="/nncf_module/bert/encoder/layer.3/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="118767948" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="756" name="/nncf_module/bert/encoder/layer.3/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="118767952" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="757" name="/nncf_module/bert/encoder/layer.3/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="758" name="Constant_115856" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="579" name="Constant_36035" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="759" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="580" name="/nncf_module/bert/encoder/layer.3/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10214,7 +7556,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="760" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="581" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10230,19 +7572,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="761" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="582" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="762" name="Constant_115860" type="Const" version="opset1">
+		<layer id="583" name="Constant_36039" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="763" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="584" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10255,7 +7597,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="764" name="Constant_115866" type="Const" version="opset1">
+		<layer id="585" name="Constant_36045" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10263,7 +7605,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="765" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="586" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -10276,7 +7618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="766" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="587" name="/nncf_module/bert/encoder/layer.3/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10292,19 +7634,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="767" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="588" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="768" name="Constant_115864" type="Const" version="opset1">
+		<layer id="589" name="Constant_36043" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="769" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="590" name="/nncf_module/bert/encoder/layer.3/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10317,7 +7659,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="770" name="Constant_115868" type="Const" version="opset1">
+		<layer id="591" name="Constant_36047" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10325,7 +7667,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="771" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="592" name="/nncf_module/bert/encoder/layer.3/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -10338,15 +7680,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="772" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="593" name="/nncf_module/bert/encoder/layer.3/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.3/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="773" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="594" name="/nncf_module/bert/encoder/layer.3/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -10365,7 +7707,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="774" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="595" name="/nncf_module/bert/encoder/layer.3/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10386,84 +7728,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="775" name="/nncf_module/bert/encoder/layer.3/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="118767956" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="776" name="Convert_143267" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="777" name="Constant_143204" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="119357780" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="778" name="/nncf_module/bert/encoder/layer.3/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="779" name="Constant_115989" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="780" name="/nncf_module/bert/encoder/layer.3/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="596" name="onnx::MatMul_1580" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="187685012" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1580">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="781" name="/nncf_module/bert/encoder/layer.3/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="597" name="/nncf_module/bert/encoder/layer.3/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10484,7 +7758,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="782" name="/nncf_module/bert/encoder/layer.3/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="598" name="/nncf_module/bert/encoder/layer.3/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10504,7 +7778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="783" name="/nncf_module/bert/encoder/layer.3/attention/output/Add" type="Add" version="opset1">
+		<layer id="599" name="/nncf_module/bert/encoder/layer.3/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10526,7 +7800,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="784" name="Constant_115994" type="Const" version="opset1">
+		<layer id="600" name="Constant_36167" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10534,7 +7808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="785" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="601" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10554,7 +7828,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="786" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="602" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10576,13 +7850,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="787" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="603" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="788" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="604" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10600,7 +7874,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="789" name="Constant_115999" type="Const" version="opset1">
+		<layer id="605" name="Constant_36172" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -10608,7 +7882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="790" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="606" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10628,142 +7902,48 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="791" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="95604764" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Constant_1_output_0" />
-			</output>
-		</layer>
-		<layer id="792" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="793" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Sqrt_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="794" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="795" name="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="119360852" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="796" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="797" name="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="119363924" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
+		<layer id="607" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="95604764" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="798" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="608" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="799" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="119366996" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
+		<layer id="609" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="800" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="119367000" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Sqrt_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="801" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="610" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10771,104 +7951,85 @@
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="802" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="119367004" size="2359296" />
+		<layer id="611" name="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="190044308" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="803" name="Convert_143388" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="612" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="804" name="Constant_143325" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="121726300" size="12288" />
+		<layer id="613" name="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="190047380" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="805" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="614" name="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="806" name="Constant_116014" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="807" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="615" name="onnx::MatMul_1581" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="190050452" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1581">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="808" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="616" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10889,7 +8050,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="809" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="617" name="/nncf_module/bert/encoder/layer.3/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10909,13 +8070,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="810" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="618" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="811" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="619" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10933,7 +8094,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="812" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="620" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -10949,13 +8110,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="813" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="621" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="814" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="622" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10973,7 +8134,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="815" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="623" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10995,13 +8156,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="816" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="624" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="817" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="625" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11019,129 +8180,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="818" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="121738588" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="819" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="121738592" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="820" name="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.3/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="821" name="/nncf_module/bert/encoder/layer.3/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="121738596" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="822" name="Convert_143509" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="823" name="Constant_143446" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="124097892" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="824" name="/nncf_module/bert/encoder/layer.3/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="825" name="Constant_116033" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="826" name="/nncf_module/bert/encoder/layer.3/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="626" name="onnx::MatMul_1582" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="199487636" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.3/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1582">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="827" name="/nncf_module/bert/encoder/layer.3/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="627" name="/nncf_module/bert/encoder/layer.3/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11162,7 +8210,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="828" name="/nncf_module/bert/encoder/layer.3/output/dense/Add" type="Add" version="opset1">
+		<layer id="628" name="/nncf_module/bert/encoder/layer.3/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11182,7 +8230,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="829" name="/nncf_module/bert/encoder/layer.3/output/Add" type="Add" version="opset1">
+		<layer id="629" name="/nncf_module/bert/encoder/layer.3/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11204,7 +8252,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="830" name="Constant_116038" type="Const" version="opset1">
+		<layer id="630" name="Constant_36193" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11212,7 +8260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="831" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="631" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11232,7 +8280,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="832" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="632" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11254,13 +8302,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="833" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="633" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="834" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="634" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11278,7 +8326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="835" name="Constant_116043" type="Const" version="opset1">
+		<layer id="635" name="Constant_36198" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11286,7 +8334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="836" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="636" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11306,13 +8354,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="837" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="637" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="838" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="638" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11330,7 +8378,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="839" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="639" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11346,7 +8394,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="840" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="640" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11368,15 +8416,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="841" name="nncf_module.bert.encoder.layer.3.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="124100964" size="3072" />
+		<layer id="641" name="nncf_module.bert.encoder.layer.3.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="208924820" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="842" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="642" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11396,15 +8444,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="843" name="nncf_module.bert.encoder.layer.3.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="124104036" size="3072" />
+		<layer id="643" name="nncf_module.bert.encoder.layer.3.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="208927892" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.3.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="844" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="644" name="/nncf_module/bert/encoder/layer.3/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11424,129 +8472,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="845" name="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="124107108" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="846" name="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="124107112" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="847" name="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="848" name="/nncf_module/bert/encoder/layer.4/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="124107116" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="849" name="Convert_143630" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="850" name="Constant_143567" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="124696940" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="851" name="/nncf_module/bert/encoder/layer.4/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="852" name="Constant_116058" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="853" name="/nncf_module/bert/encoder/layer.4/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="645" name="onnx::MatMul_1583" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="208930964" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1583">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="854" name="/nncf_module/bert/encoder/layer.4/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="646" name="/nncf_module/bert/encoder/layer.4/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11567,7 +8502,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="855" name="/nncf_module/bert/encoder/layer.4/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="647" name="/nncf_module/bert/encoder/layer.4/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11587,52 +8522,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="856" name="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="124700012" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="857" name="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="124700016" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="858" name="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="859" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="648" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11647,19 +8537,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="860" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="649" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="861" name="Constant_116358" type="Const" version="opset1">
+		<layer id="650" name="Constant_36484" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="862" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="651" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11672,7 +8562,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="863" name="Constant_116364" type="Const" version="opset1">
+		<layer id="652" name="Constant_36490" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11680,7 +8570,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="864" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="653" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -11693,7 +8583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="865" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="654" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11708,19 +8598,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="866" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="655" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="867" name="Constant_116362" type="Const" version="opset1">
+		<layer id="656" name="Constant_36488" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="868" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="657" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11733,7 +8623,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="869" name="Constant_116366" type="Const" version="opset1">
+		<layer id="658" name="Constant_36492" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -11741,7 +8631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="870" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="659" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -11754,23 +8644,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="871" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="660" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="872" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="661" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="873" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="662" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -11792,7 +8682,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="874" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="663" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11813,15 +8703,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="875" name="Constant_116490" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="664" name="Constant_36616" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="876" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="665" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11842,121 +8732,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="877" name="nncf_module.bert.encoder.layer.4.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="124700020" size="3072" />
+		<layer id="666" name="nncf_module.bert.encoder.layer.4.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="211290260" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="878" name="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="879" name="/nncf_module/bert/encoder/layer.4/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="124703092" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="880" name="Convert_143751" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="881" name="Constant_143688" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="125292916" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="882" name="/nncf_module/bert/encoder/layer.4/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="883" name="Constant_116070" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="884" name="/nncf_module/bert/encoder/layer.4/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="667" name="onnx::MatMul_1584" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="211293332" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1584">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="885" name="/nncf_module/bert/encoder/layer.4/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="668" name="/nncf_module/bert/encoder/layer.4/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11977,7 +8770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="886" name="/nncf_module/bert/encoder/layer.4/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="669" name="/nncf_module/bert/encoder/layer.4/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11997,52 +8790,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="887" name="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="125295988" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="888" name="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="125295992" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="889" name="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="890" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="670" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12057,19 +8805,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="891" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant" type="Const" version="opset1">
+		<layer id="671" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="892" name="Constant_116079" type="Const" version="opset1">
+		<layer id="672" name="Constant_36212" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="893" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="673" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12082,7 +8830,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="894" name="Constant_116085" type="Const" version="opset1">
+		<layer id="674" name="Constant_36218" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12090,7 +8838,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="895" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="675" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12103,7 +8851,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="896" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="676" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12118,19 +8866,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="897" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="677" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="898" name="Constant_116083" type="Const" version="opset1">
+		<layer id="678" name="Constant_36216" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="899" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="679" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12143,7 +8891,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="900" name="Constant_116087" type="Const" version="opset1">
+		<layer id="680" name="Constant_36220" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12151,7 +8899,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="901" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="681" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12164,23 +8912,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="902" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="682" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="903" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="683" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="904" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="684" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12202,7 +8950,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="905" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="685" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12223,15 +8971,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="906" name="Constant_116492" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="686" name="Constant_36618" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="907" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="687" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12252,7 +9000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="908" name="/nncf_module/bert/encoder/layer.4/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="688" name="/nncf_module/bert/encoder/layer.4/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12269,199 +9017,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/MatMul_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="909" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_12_output_0" />
-			</output>
-		</layer>
-		<layer id="910" name="/nncf_module/bert/encoder/layer.4/attention/self/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="911" name="/nncf_module/bert/encoder/layer.4/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="912" name="/nncf_module/bert/encoder/layer.4/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="913" name="nncf_module.bert.encoder.layer.4.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="125295996" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="914" name="/nncf_module/bert/encoder/layer.4/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/MatMul_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="915" name="/nncf_module/bert/encoder/layer.4/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="125299068" size="589824" />
+		<layer id="689" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="916" name="Convert_143872" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="690" name="/nncf_module/bert/encoder/layer.4/attention/self/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="917" name="Constant_143809" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="125888892" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="918" name="/nncf_module/bert/encoder/layer.4/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="691" name="/nncf_module/bert/encoder/layer.4/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="919" name="Constant_116216" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="692" name="/nncf_module/bert/encoder/layer.4/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="920" name="/nncf_module/bert/encoder/layer.4/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="693" name="nncf_module.bert.encoder.layer.4.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="213652628" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="694" name="onnx::MatMul_1587" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="213655700" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1587">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="921" name="/nncf_module/bert/encoder/layer.4/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="695" name="/nncf_module/bert/encoder/layer.4/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12482,7 +9133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="922" name="/nncf_module/bert/encoder/layer.4/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="696" name="/nncf_module/bert/encoder/layer.4/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12502,7 +9153,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="923" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="697" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12517,19 +9168,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="924" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="698" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="925" name="Constant_116222" type="Const" version="opset1">
+		<layer id="699" name="Constant_36348" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="926" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="700" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12542,7 +9193,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="927" name="Constant_116228" type="Const" version="opset1">
+		<layer id="701" name="Constant_36354" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12550,7 +9201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="928" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="702" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12563,7 +9214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="929" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="703" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12578,19 +9229,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="930" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="704" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="931" name="Constant_116226" type="Const" version="opset1">
+		<layer id="705" name="Constant_36352" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="932" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="706" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12603,7 +9254,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="933" name="Constant_116230" type="Const" version="opset1">
+		<layer id="707" name="Constant_36356" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12611,7 +9262,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="934" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="708" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12624,23 +9275,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="935" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="709" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="936" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="710" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="937" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="711" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12662,7 +9313,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="938" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="712" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12683,15 +9334,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="939" name="Constant_116354" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="713" name="Constant_36480" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="940" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="714" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12712,7 +9363,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="941" name="/nncf_module/bert/encoder/layer.4/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="715" name="/nncf_module/bert/encoder/layer.4/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12737,62 +9388,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="942" name="/nncf_module/bert/encoder/layer.4/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="125891964" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="943" name="/nncf_module/bert/encoder/layer.4/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="125891968" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="944" name="/nncf_module/bert/encoder/layer.4/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="945" name="Constant_116503" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="716" name="Constant_36626" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="946" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="717" name="/nncf_module/bert/encoder/layer.4/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -12813,7 +9417,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="947" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="718" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12829,19 +9433,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="948" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="719" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="949" name="Constant_116507" type="Const" version="opset1">
+		<layer id="720" name="Constant_36630" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="950" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="721" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12854,7 +9458,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="951" name="Constant_116513" type="Const" version="opset1">
+		<layer id="722" name="Constant_36636" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12862,7 +9466,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="952" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="723" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12875,7 +9479,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="953" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="724" name="/nncf_module/bert/encoder/layer.4/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12891,19 +9495,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="954" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="725" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="955" name="Constant_116511" type="Const" version="opset1">
+		<layer id="726" name="Constant_36634" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="956" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="727" name="/nncf_module/bert/encoder/layer.4/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12916,7 +9520,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="957" name="Constant_116515" type="Const" version="opset1">
+		<layer id="728" name="Constant_36638" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -12924,7 +9528,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="958" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="729" name="/nncf_module/bert/encoder/layer.4/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -12937,15 +9541,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="959" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="730" name="/nncf_module/bert/encoder/layer.4/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.4/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="960" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="731" name="/nncf_module/bert/encoder/layer.4/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -12964,7 +9568,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="961" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="732" name="/nncf_module/bert/encoder/layer.4/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -12985,84 +9589,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="962" name="/nncf_module/bert/encoder/layer.4/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="125891972" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="963" name="Convert_143993" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="964" name="Constant_143930" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="126481796" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="965" name="/nncf_module/bert/encoder/layer.4/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="966" name="Constant_116636" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="967" name="/nncf_module/bert/encoder/layer.4/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="733" name="onnx::MatMul_1593" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="216014996" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1593">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="968" name="/nncf_module/bert/encoder/layer.4/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="734" name="/nncf_module/bert/encoder/layer.4/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13083,7 +9619,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="969" name="/nncf_module/bert/encoder/layer.4/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="735" name="/nncf_module/bert/encoder/layer.4/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13103,7 +9639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="970" name="/nncf_module/bert/encoder/layer.4/attention/output/Add" type="Add" version="opset1">
+		<layer id="736" name="/nncf_module/bert/encoder/layer.4/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13125,7 +9661,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="971" name="Constant_116641" type="Const" version="opset1">
+		<layer id="737" name="Constant_36758" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13133,7 +9669,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="972" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="738" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13153,7 +9689,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="973" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="739" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13175,13 +9711,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="974" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="740" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="975" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="741" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13199,7 +9735,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="976" name="Constant_116646" type="Const" version="opset1">
+		<layer id="742" name="Constant_36763" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13207,7 +9743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="977" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="743" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13227,13 +9763,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="978" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="744" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="979" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="745" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13251,7 +9787,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="980" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="746" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13267,7 +9803,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="981" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="747" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13282,192 +9818,79 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="982" name="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="126484868" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="983" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="984" name="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="126487940" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="985" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="986" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="126491012" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="987" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="126491016" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="988" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="989" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="126491020" size="2359296" />
+		<layer id="748" name="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="218374292" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="990" name="Convert_144114" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="749" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="991" name="Constant_144051" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="128850316" size="12288" />
+		<layer id="750" name="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="218377364" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="992" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="751" name="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="993" name="Constant_116661" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="752" name="onnx::MatMul_1594" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="218380436" size="9437184" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="994" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1594">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="995" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="753" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13488,7 +9911,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="996" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="754" name="/nncf_module/bert/encoder/layer.4/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13508,13 +9931,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="997" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="755" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="998" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="756" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13532,7 +9955,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="999" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="757" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13548,13 +9971,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1000" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="758" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1001" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="759" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13572,7 +9995,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1002" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="760" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13594,13 +10017,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1003" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="761" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1004" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="762" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13618,129 +10041,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1005" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="128862604" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1006" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="128862608" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1007" name="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.4/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1008" name="/nncf_module/bert/encoder/layer.4/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="128862612" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1009" name="Convert_144235" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1010" name="Constant_144172" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="131221908" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1011" name="/nncf_module/bert/encoder/layer.4/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1012" name="Constant_116680" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1013" name="/nncf_module/bert/encoder/layer.4/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="763" name="onnx::MatMul_1595" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="227817620" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1595">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1014" name="/nncf_module/bert/encoder/layer.4/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="764" name="/nncf_module/bert/encoder/layer.4/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13761,7 +10071,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1015" name="/nncf_module/bert/encoder/layer.4/output/dense/Add" type="Add" version="opset1">
+		<layer id="765" name="/nncf_module/bert/encoder/layer.4/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13781,7 +10091,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1016" name="/nncf_module/bert/encoder/layer.4/output/Add" type="Add" version="opset1">
+		<layer id="766" name="/nncf_module/bert/encoder/layer.4/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13803,7 +10113,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1017" name="Constant_116685" type="Const" version="opset1">
+		<layer id="767" name="Constant_36784" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13811,7 +10121,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1018" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="768" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13831,7 +10141,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1019" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="769" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13853,13 +10163,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1020" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="770" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1021" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="771" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13877,7 +10187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1022" name="Constant_116690" type="Const" version="opset1">
+		<layer id="772" name="Constant_36789" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -13885,7 +10195,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1023" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="773" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13905,13 +10215,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1024" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="774" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1025" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="775" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13929,7 +10239,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1026" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="776" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13945,7 +10255,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1027" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="777" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13967,15 +10277,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1028" name="nncf_module.bert.encoder.layer.4.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="131224980" size="3072" />
+		<layer id="778" name="nncf_module.bert.encoder.layer.4.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="237254804" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1029" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="779" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -13995,158 +10305,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1030" name="nncf_module.bert.encoder.layer.4.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="131228052" size="3072" />
+		<layer id="780" name="nncf_module.bert.encoder.layer.4.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="237257876" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.4.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1031" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1032" name="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="131231124" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1033" name="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="131231128" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1034" name="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1035" name="/nncf_module/bert/encoder/layer.5/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="131231132" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1036" name="Convert_144356" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1037" name="Constant_144293" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="131820956" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1038" name="/nncf_module/bert/encoder/layer.5/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1039" name="Constant_116705" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1040" name="/nncf_module/bert/encoder/layer.5/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/Transpose_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1041" name="/nncf_module/bert/encoder/layer.5/attention/self/query/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="781" name="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14155,83 +10323,67 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>768</dim>
-					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.4/output/LayerNorm/Add_1_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1042" name="/nncf_module/bert/encoder/layer.5/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="782" name="onnx::MatMul_1596" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="237260948" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_1596">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="783" name="/nncf_module/bert/encoder/layer.5/attention/self/query/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/MatMul_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1043" name="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="131824028" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1044" name="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="131824032" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1045" name="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="784" name="/nncf_module/bert/encoder/layer.5/attention/self/query/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/query/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1046" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="785" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14246,19 +10398,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1047" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="786" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="1048" name="Constant_117005" type="Const" version="opset1">
+		<layer id="787" name="Constant_37075" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1049" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="788" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14271,7 +10423,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1050" name="Constant_117011" type="Const" version="opset1">
+		<layer id="789" name="Constant_37081" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14279,7 +10431,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1051" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="790" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14292,7 +10444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1052" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="791" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14307,19 +10459,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1053" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="792" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="1054" name="Constant_117009" type="Const" version="opset1">
+		<layer id="793" name="Constant_37079" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1055" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="794" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14332,7 +10484,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1056" name="Constant_117013" type="Const" version="opset1">
+		<layer id="795" name="Constant_37083" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14340,7 +10492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1057" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="796" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14353,23 +10505,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1058" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="797" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1059" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="798" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1060" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="799" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14391,7 +10543,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1061" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="800" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14412,15 +10564,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1062" name="Constant_117137" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="801" name="Constant_37207" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1063" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="802" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14441,121 +10593,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1064" name="nncf_module.bert.encoder.layer.5.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="131824036" size="3072" />
+		<layer id="803" name="nncf_module.bert.encoder.layer.5.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="239620244" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1065" name="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1066" name="/nncf_module/bert/encoder/layer.5/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="131827108" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1067" name="Convert_144477" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1068" name="Constant_144414" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="132416932" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1069" name="/nncf_module/bert/encoder/layer.5/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1070" name="Constant_116717" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="804" name="onnx::MatMul_1597" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="239623316" size="2359296" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1071" name="/nncf_module/bert/encoder/layer.5/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1597">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1072" name="/nncf_module/bert/encoder/layer.5/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="805" name="/nncf_module/bert/encoder/layer.5/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14576,7 +10631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1073" name="/nncf_module/bert/encoder/layer.5/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="806" name="/nncf_module/bert/encoder/layer.5/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14596,52 +10651,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1074" name="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="132420004" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1075" name="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="132420008" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1076" name="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1077" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="807" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14656,19 +10666,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1078" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant" type="Const" version="opset1">
+		<layer id="808" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1079" name="Constant_116726" type="Const" version="opset1">
+		<layer id="809" name="Constant_36803" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1080" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="810" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14681,7 +10691,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="1081" name="Constant_116732" type="Const" version="opset1">
+		<layer id="811" name="Constant_36809" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14689,7 +10699,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1082" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="812" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14702,7 +10712,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1083" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="813" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14717,19 +10727,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1084" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="814" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1085" name="Constant_116730" type="Const" version="opset1">
+		<layer id="815" name="Constant_36807" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1086" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="816" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14742,7 +10752,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1087" name="Constant_116734" type="Const" version="opset1">
+		<layer id="817" name="Constant_36811" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -14750,7 +10760,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1088" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="818" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -14763,23 +10773,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1089" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="819" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1090" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="820" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1091" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="821" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -14801,7 +10811,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1092" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="822" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14822,15 +10832,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1093" name="Constant_117139" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="823" name="Constant_37209" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1094" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="824" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14851,7 +10861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1095" name="/nncf_module/bert/encoder/layer.5/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="825" name="/nncf_module/bert/encoder/layer.5/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14870,197 +10880,100 @@
 			<output>
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/MatMul_output_0">
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1096" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_12_output_0" />
-			</output>
-		</layer>
-		<layer id="1097" name="/nncf_module/bert/encoder/layer.5/attention/self/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1098" name="/nncf_module/bert/encoder/layer.5/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1099" name="/nncf_module/bert/encoder/layer.5/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1100" name="nncf_module.bert.encoder.layer.5.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="132420012" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1101" name="/nncf_module/bert/encoder/layer.5/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
+					<dim>12</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1102" name="/nncf_module/bert/encoder/layer.5/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="132423084" size="589824" />
+		<layer id="826" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="1103" name="Convert_144598" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="827" name="/nncf_module/bert/encoder/layer.5/attention/self/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1104" name="Constant_144535" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="133012908" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1105" name="/nncf_module/bert/encoder/layer.5/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="828" name="/nncf_module/bert/encoder/layer.5/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1106" name="Constant_116863" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="829" name="/nncf_module/bert/encoder/layer.5/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1107" name="/nncf_module/bert/encoder/layer.5/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="830" name="nncf_module.bert.encoder.layer.5.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="241982612" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="831" name="onnx::MatMul_1600" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="241985684" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1600">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1108" name="/nncf_module/bert/encoder/layer.5/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="832" name="/nncf_module/bert/encoder/layer.5/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15081,7 +10994,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1109" name="/nncf_module/bert/encoder/layer.5/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="833" name="/nncf_module/bert/encoder/layer.5/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15101,7 +11014,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1110" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="834" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15116,19 +11029,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1111" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="835" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1112" name="Constant_116869" type="Const" version="opset1">
+		<layer id="836" name="Constant_36939" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1113" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="837" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15141,7 +11054,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1114" name="Constant_116875" type="Const" version="opset1">
+		<layer id="838" name="Constant_36945" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15149,7 +11062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1115" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="839" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15162,7 +11075,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1116" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="840" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15177,19 +11090,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1117" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="841" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1118" name="Constant_116873" type="Const" version="opset1">
+		<layer id="842" name="Constant_36943" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1119" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="843" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15202,7 +11115,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="1120" name="Constant_116877" type="Const" version="opset1">
+		<layer id="844" name="Constant_36947" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15210,7 +11123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1121" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="845" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15223,23 +11136,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1122" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="846" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1123" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="847" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1124" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="848" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15261,7 +11174,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1125" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="849" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15282,15 +11195,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1126" name="Constant_117001" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="850" name="Constant_37071" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1127" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="851" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15311,7 +11224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1128" name="/nncf_module/bert/encoder/layer.5/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="852" name="/nncf_module/bert/encoder/layer.5/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15336,62 +11249,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1129" name="/nncf_module/bert/encoder/layer.5/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="133015980" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1130" name="/nncf_module/bert/encoder/layer.5/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="133015984" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1131" name="/nncf_module/bert/encoder/layer.5/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1132" name="Constant_117150" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="853" name="Constant_37217" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1133" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="854" name="/nncf_module/bert/encoder/layer.5/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15412,7 +11278,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1134" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="855" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15428,19 +11294,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1135" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="856" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="1136" name="Constant_117154" type="Const" version="opset1">
+		<layer id="857" name="Constant_37221" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1137" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="858" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15453,7 +11319,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="1138" name="Constant_117160" type="Const" version="opset1">
+		<layer id="859" name="Constant_37227" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15461,7 +11327,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1139" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="860" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15474,7 +11340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1140" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="861" name="/nncf_module/bert/encoder/layer.5/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15490,19 +11356,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1141" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="862" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="1142" name="Constant_117158" type="Const" version="opset1">
+		<layer id="863" name="Constant_37225" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1143" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="864" name="/nncf_module/bert/encoder/layer.5/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15515,7 +11381,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="1144" name="Constant_117162" type="Const" version="opset1">
+		<layer id="865" name="Constant_37229" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15523,7 +11389,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1145" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="866" name="/nncf_module/bert/encoder/layer.5/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -15536,15 +11402,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1146" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="867" name="/nncf_module/bert/encoder/layer.5/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.5/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1147" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="868" name="/nncf_module/bert/encoder/layer.5/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -15563,7 +11429,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1148" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="869" name="/nncf_module/bert/encoder/layer.5/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15584,84 +11450,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1149" name="/nncf_module/bert/encoder/layer.5/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="133015988" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1150" name="Convert_144719" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1151" name="Constant_144656" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="133605812" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1152" name="/nncf_module/bert/encoder/layer.5/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1153" name="Constant_117283" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1154" name="/nncf_module/bert/encoder/layer.5/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="870" name="onnx::MatMul_1606" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="244344980" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1606">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1155" name="/nncf_module/bert/encoder/layer.5/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="871" name="/nncf_module/bert/encoder/layer.5/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15682,7 +11480,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1156" name="/nncf_module/bert/encoder/layer.5/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="872" name="/nncf_module/bert/encoder/layer.5/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15702,7 +11500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1157" name="/nncf_module/bert/encoder/layer.5/attention/output/Add" type="Add" version="opset1">
+		<layer id="873" name="/nncf_module/bert/encoder/layer.5/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15724,7 +11522,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1158" name="Constant_117288" type="Const" version="opset1">
+		<layer id="874" name="Constant_37349" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15732,7 +11530,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1159" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="875" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15752,7 +11550,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1160" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="876" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15774,13 +11572,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1161" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="877" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1162" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="878" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15798,7 +11596,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1163" name="Constant_117293" type="Const" version="opset1">
+		<layer id="879" name="Constant_37354" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -15806,7 +11604,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1164" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="880" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15826,142 +11624,48 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1165" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="95604764" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Constant_1_output_0" />
-			</output>
-		</layer>
-		<layer id="1166" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1167" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Sqrt_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1168" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1169" name="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="133608884" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1170" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1171" name="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="133611956" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
+		<layer id="881" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="95604764" size="4" />
+			<output>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1172" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="882" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add_1_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1173" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="133615028" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
+		<layer id="883" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1174" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="133615032" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Sqrt_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1175" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="884" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15969,104 +11673,85 @@
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1176" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="133615036" size="2359296" />
+		<layer id="885" name="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="246704276" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1177" name="Convert_144840" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="886" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1178" name="Constant_144777" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="135974332" size="12288" />
+		<layer id="887" name="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="246707348" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1179" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="888" name="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1180" name="Constant_117308" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1181" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="889" name="onnx::MatMul_1607" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="246710420" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1607">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1182" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="890" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16087,7 +11772,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1183" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="891" name="/nncf_module/bert/encoder/layer.5/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16107,13 +11792,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1184" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="892" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1185" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="893" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16131,7 +11816,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1186" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="894" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16147,13 +11832,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1187" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="895" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1188" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="896" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16171,7 +11856,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1189" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="897" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16193,13 +11878,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1190" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="898" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1191" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="899" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16217,129 +11902,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1192" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="135986620" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1193" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="135986624" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1194" name="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.5/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1195" name="/nncf_module/bert/encoder/layer.5/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="135986628" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1196" name="Convert_144961" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1197" name="Constant_144898" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="138345924" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1198" name="/nncf_module/bert/encoder/layer.5/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1199" name="Constant_117327" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1200" name="/nncf_module/bert/encoder/layer.5/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="900" name="onnx::MatMul_1608" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="256147604" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.5/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1608">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1201" name="/nncf_module/bert/encoder/layer.5/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="901" name="/nncf_module/bert/encoder/layer.5/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16360,7 +11932,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1202" name="/nncf_module/bert/encoder/layer.5/output/dense/Add" type="Add" version="opset1">
+		<layer id="902" name="/nncf_module/bert/encoder/layer.5/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16380,7 +11952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1203" name="/nncf_module/bert/encoder/layer.5/output/Add" type="Add" version="opset1">
+		<layer id="903" name="/nncf_module/bert/encoder/layer.5/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16402,7 +11974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1204" name="Constant_117332" type="Const" version="opset1">
+		<layer id="904" name="Constant_37375" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16410,7 +11982,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1205" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="905" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16430,7 +12002,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1206" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="906" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16452,13 +12024,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1207" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="907" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1208" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="908" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16476,7 +12048,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1209" name="Constant_117337" type="Const" version="opset1">
+		<layer id="909" name="Constant_37380" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16484,7 +12056,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1210" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="910" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16504,13 +12076,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1211" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="911" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1212" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="912" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16528,7 +12100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1213" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="913" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16544,7 +12116,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1214" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="914" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16566,15 +12138,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1215" name="nncf_module.bert.encoder.layer.5.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="138348996" size="3072" />
+		<layer id="915" name="nncf_module.bert.encoder.layer.5.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="265584788" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1216" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="916" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16594,15 +12166,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1217" name="nncf_module.bert.encoder.layer.5.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="138352068" size="3072" />
+		<layer id="917" name="nncf_module.bert.encoder.layer.5.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="265587860" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.5.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1218" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="918" name="/nncf_module/bert/encoder/layer.5/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16622,129 +12194,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1219" name="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="138355140" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1220" name="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="138355144" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1221" name="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1222" name="/nncf_module/bert/encoder/layer.6/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="138355148" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1223" name="Convert_145082" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1224" name="Constant_145019" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="138944972" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1225" name="/nncf_module/bert/encoder/layer.6/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1226" name="Constant_117352" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1227" name="/nncf_module/bert/encoder/layer.6/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="919" name="onnx::MatMul_1609" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="265590932" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1609">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1228" name="/nncf_module/bert/encoder/layer.6/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="920" name="/nncf_module/bert/encoder/layer.6/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16765,7 +12224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1229" name="/nncf_module/bert/encoder/layer.6/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="921" name="/nncf_module/bert/encoder/layer.6/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16785,52 +12244,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1230" name="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="138948044" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1231" name="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="138948048" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1232" name="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1233" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="922" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16845,19 +12259,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1234" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="923" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="1235" name="Constant_117652" type="Const" version="opset1">
+		<layer id="924" name="Constant_37666" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1236" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="925" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16870,7 +12284,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1237" name="Constant_117658" type="Const" version="opset1">
+		<layer id="926" name="Constant_37672" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16878,7 +12292,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1238" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="927" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -16891,7 +12305,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1239" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="928" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16906,19 +12320,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1240" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="929" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="1241" name="Constant_117656" type="Const" version="opset1">
+		<layer id="930" name="Constant_37670" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1242" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="931" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16931,7 +12345,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1243" name="Constant_117660" type="Const" version="opset1">
+		<layer id="932" name="Constant_37674" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -16939,7 +12353,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1244" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="933" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -16952,23 +12366,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1245" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="934" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1246" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="935" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1247" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="936" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -16990,7 +12404,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1248" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="937" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17011,15 +12425,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1249" name="Constant_117784" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="938" name="Constant_37798" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1250" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="939" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17040,121 +12454,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1251" name="nncf_module.bert.encoder.layer.6.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="138948052" size="3072" />
+		<layer id="940" name="nncf_module.bert.encoder.layer.6.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="267950228" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1252" name="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1253" name="/nncf_module/bert/encoder/layer.6/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="138951124" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1254" name="Convert_145203" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1255" name="Constant_145140" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="139540948" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1256" name="/nncf_module/bert/encoder/layer.6/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1257" name="Constant_117364" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1258" name="/nncf_module/bert/encoder/layer.6/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="941" name="onnx::MatMul_1610" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="267953300" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1610">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1259" name="/nncf_module/bert/encoder/layer.6/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="942" name="/nncf_module/bert/encoder/layer.6/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17175,7 +12492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1260" name="/nncf_module/bert/encoder/layer.6/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="943" name="/nncf_module/bert/encoder/layer.6/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17195,52 +12512,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1261" name="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="139544020" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1262" name="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="139544024" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1263" name="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1264" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="944" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17255,19 +12527,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1265" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant" type="Const" version="opset1">
+		<layer id="945" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1266" name="Constant_117373" type="Const" version="opset1">
+		<layer id="946" name="Constant_37394" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1267" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="947" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17280,7 +12552,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="1268" name="Constant_117379" type="Const" version="opset1">
+		<layer id="948" name="Constant_37400" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17288,7 +12560,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1269" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="949" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17301,7 +12573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1270" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="950" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17316,19 +12588,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1271" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="951" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1272" name="Constant_117377" type="Const" version="opset1">
+		<layer id="952" name="Constant_37398" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1273" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="953" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17341,7 +12613,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1274" name="Constant_117381" type="Const" version="opset1">
+		<layer id="954" name="Constant_37402" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17349,7 +12621,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1275" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="955" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17362,23 +12634,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1276" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="956" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1277" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="957" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1278" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="958" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17400,7 +12672,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1279" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="959" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17421,15 +12693,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1280" name="Constant_117786" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="960" name="Constant_37800" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1281" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="961" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17450,7 +12722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1282" name="/nncf_module/bert/encoder/layer.6/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="962" name="/nncf_module/bert/encoder/layer.6/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17467,199 +12739,102 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/MatMul_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1283" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_12_output_0" />
-			</output>
-		</layer>
-		<layer id="1284" name="/nncf_module/bert/encoder/layer.6/attention/self/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1285" name="/nncf_module/bert/encoder/layer.6/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1286" name="/nncf_module/bert/encoder/layer.6/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1287" name="nncf_module.bert.encoder.layer.6.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="139544028" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1288" name="/nncf_module/bert/encoder/layer.6/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/MatMul_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1289" name="/nncf_module/bert/encoder/layer.6/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="139547100" size="589824" />
+		<layer id="963" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="1290" name="Convert_145324" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="964" name="/nncf_module/bert/encoder/layer.6/attention/self/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1291" name="Constant_145261" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="140136924" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1292" name="/nncf_module/bert/encoder/layer.6/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="965" name="/nncf_module/bert/encoder/layer.6/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1293" name="Constant_117510" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="966" name="/nncf_module/bert/encoder/layer.6/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1294" name="/nncf_module/bert/encoder/layer.6/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="967" name="nncf_module.bert.encoder.layer.6.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="270312596" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="968" name="onnx::MatMul_1613" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="270315668" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1613">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1295" name="/nncf_module/bert/encoder/layer.6/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="969" name="/nncf_module/bert/encoder/layer.6/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17680,7 +12855,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1296" name="/nncf_module/bert/encoder/layer.6/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="970" name="/nncf_module/bert/encoder/layer.6/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17700,7 +12875,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1297" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="971" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17715,19 +12890,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1298" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="972" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1299" name="Constant_117516" type="Const" version="opset1">
+		<layer id="973" name="Constant_37530" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1300" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="974" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17740,7 +12915,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1301" name="Constant_117522" type="Const" version="opset1">
+		<layer id="975" name="Constant_37536" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17748,7 +12923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1302" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="976" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17761,7 +12936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1303" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="977" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17776,19 +12951,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1304" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="978" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1305" name="Constant_117520" type="Const" version="opset1">
+		<layer id="979" name="Constant_37534" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1306" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="980" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17801,7 +12976,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="1307" name="Constant_117524" type="Const" version="opset1">
+		<layer id="981" name="Constant_37538" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -17809,7 +12984,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1308" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="982" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -17822,23 +12997,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1309" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="983" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1310" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="984" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1311" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="985" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -17860,7 +13035,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1312" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="986" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17881,15 +13056,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1313" name="Constant_117648" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="987" name="Constant_37662" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1314" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="988" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17910,7 +13085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1315" name="/nncf_module/bert/encoder/layer.6/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="989" name="/nncf_module/bert/encoder/layer.6/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17935,62 +13110,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1316" name="/nncf_module/bert/encoder/layer.6/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="140139996" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1317" name="/nncf_module/bert/encoder/layer.6/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="140140000" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1318" name="/nncf_module/bert/encoder/layer.6/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1319" name="Constant_117797" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="990" name="Constant_37808" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1320" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="991" name="/nncf_module/bert/encoder/layer.6/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18011,7 +13139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1321" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="992" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18027,19 +13155,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1322" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="993" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="1323" name="Constant_117801" type="Const" version="opset1">
+		<layer id="994" name="Constant_37812" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1324" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="995" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -18052,7 +13180,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="1325" name="Constant_117807" type="Const" version="opset1">
+		<layer id="996" name="Constant_37818" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18060,7 +13188,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1326" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="997" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -18073,7 +13201,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1327" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="998" name="/nncf_module/bert/encoder/layer.6/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18089,19 +13217,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1328" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="999" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="1329" name="Constant_117805" type="Const" version="opset1">
+		<layer id="1000" name="Constant_37816" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1330" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="1001" name="/nncf_module/bert/encoder/layer.6/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -18114,7 +13242,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="1331" name="Constant_117809" type="Const" version="opset1">
+		<layer id="1002" name="Constant_37820" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18122,7 +13250,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1332" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1003" name="/nncf_module/bert/encoder/layer.6/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -18135,15 +13263,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1333" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="1004" name="/nncf_module/bert/encoder/layer.6/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.6/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1334" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="1005" name="/nncf_module/bert/encoder/layer.6/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -18162,7 +13290,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1335" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1006" name="/nncf_module/bert/encoder/layer.6/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18183,84 +13311,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1336" name="/nncf_module/bert/encoder/layer.6/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="140140004" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1337" name="Convert_145445" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1338" name="Constant_145382" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="140729828" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1339" name="/nncf_module/bert/encoder/layer.6/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1340" name="Constant_117930" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1341" name="/nncf_module/bert/encoder/layer.6/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1007" name="onnx::MatMul_1619" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="272674964" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1619">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1342" name="/nncf_module/bert/encoder/layer.6/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1008" name="/nncf_module/bert/encoder/layer.6/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18281,7 +13341,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1343" name="/nncf_module/bert/encoder/layer.6/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1009" name="/nncf_module/bert/encoder/layer.6/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18301,7 +13361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1344" name="/nncf_module/bert/encoder/layer.6/attention/output/Add" type="Add" version="opset1">
+		<layer id="1010" name="/nncf_module/bert/encoder/layer.6/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18323,7 +13383,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1345" name="Constant_117935" type="Const" version="opset1">
+		<layer id="1011" name="Constant_37940" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18331,7 +13391,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1346" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1012" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18351,7 +13411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1347" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1013" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18373,13 +13433,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1348" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1014" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1349" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1015" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18397,7 +13457,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1350" name="Constant_117940" type="Const" version="opset1">
+		<layer id="1016" name="Constant_37945" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -18405,7 +13465,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1351" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1017" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18425,13 +13485,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1352" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1018" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1353" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1019" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18449,7 +13509,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1354" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1020" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18465,7 +13525,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1355" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1021" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18480,192 +13540,79 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1356" name="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="140732900" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1357" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1358" name="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="140735972" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1359" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1360" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="140739044" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1361" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="140739048" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1362" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1363" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="140739052" size="2359296" />
+		<layer id="1022" name="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="275034260" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1364" name="Convert_145566" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1023" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1365" name="Constant_145503" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="143098348" size="12288" />
+		<layer id="1024" name="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="275037332" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1366" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1025" name="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1367" name="Constant_117955" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1026" name="onnx::MatMul_1620" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="275040404" size="9437184" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1368" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1620">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1369" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1027" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18686,7 +13633,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1370" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1028" name="/nncf_module/bert/encoder/layer.6/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18706,13 +13653,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1371" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="1029" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1372" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1030" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18730,7 +13677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1373" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1031" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18746,13 +13693,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1374" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1032" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1375" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1033" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18770,7 +13717,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1376" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1034" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18792,13 +13739,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1377" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="1035" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1378" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1036" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18816,129 +13763,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1379" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="143110636" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1380" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="143110640" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1381" name="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.6/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1382" name="/nncf_module/bert/encoder/layer.6/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="143110644" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1383" name="Convert_145687" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1384" name="Constant_145624" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="145469940" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1385" name="/nncf_module/bert/encoder/layer.6/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1386" name="Constant_117974" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1387" name="/nncf_module/bert/encoder/layer.6/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1037" name="onnx::MatMul_1621" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="284477588" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1621">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1388" name="/nncf_module/bert/encoder/layer.6/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1038" name="/nncf_module/bert/encoder/layer.6/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18959,7 +13793,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1389" name="/nncf_module/bert/encoder/layer.6/output/dense/Add" type="Add" version="opset1">
+		<layer id="1039" name="/nncf_module/bert/encoder/layer.6/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18979,7 +13813,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1390" name="/nncf_module/bert/encoder/layer.6/output/Add" type="Add" version="opset1">
+		<layer id="1040" name="/nncf_module/bert/encoder/layer.6/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19001,7 +13835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1391" name="Constant_117979" type="Const" version="opset1">
+		<layer id="1041" name="Constant_37966" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19009,7 +13843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1392" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1042" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19029,7 +13863,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1393" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1043" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19051,13 +13885,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1394" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1044" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1395" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1045" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19075,7 +13909,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1396" name="Constant_117984" type="Const" version="opset1">
+		<layer id="1046" name="Constant_37971" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19083,7 +13917,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1397" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1047" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19103,13 +13937,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1398" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1048" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1399" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1049" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19127,7 +13961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1400" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1050" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19143,7 +13977,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1401" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1051" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19165,15 +13999,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1402" name="nncf_module.bert.encoder.layer.6.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="145473012" size="3072" />
+		<layer id="1052" name="nncf_module.bert.encoder.layer.6.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="293914772" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1403" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1053" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19193,158 +14027,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1404" name="nncf_module.bert.encoder.layer.6.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="145476084" size="3072" />
+		<layer id="1054" name="nncf_module.bert.encoder.layer.6.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="293917844" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.6.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1405" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1406" name="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="145479156" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1407" name="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="145479160" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1408" name="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1409" name="/nncf_module/bert/encoder/layer.7/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="145479164" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1410" name="Convert_145808" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1411" name="Constant_145745" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="146068988" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1412" name="/nncf_module/bert/encoder/layer.7/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1413" name="Constant_117999" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1414" name="/nncf_module/bert/encoder/layer.7/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/Transpose_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1415" name="/nncf_module/bert/encoder/layer.7/attention/self/query/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="1055" name="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19353,83 +14045,67 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>768</dim>
-					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/MatMul_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.6/output/LayerNorm/Add_1_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1416" name="/nncf_module/bert/encoder/layer.7/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1056" name="onnx::MatMul_1622" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="293920916" size="2359296" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_1622">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1057" name="/nncf_module/bert/encoder/layer.7/attention/self/query/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/Add_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/MatMul_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1417" name="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="146072060" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1418" name="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="146072064" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1419" name="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1058" name="/nncf_module/bert/encoder/layer.7/attention/self/query/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/query/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1420" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1059" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19444,19 +14120,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1421" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="1060" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="1422" name="Constant_118299" type="Const" version="opset1">
+		<layer id="1061" name="Constant_38257" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1423" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="1062" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19469,7 +14145,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1424" name="Constant_118305" type="Const" version="opset1">
+		<layer id="1063" name="Constant_38263" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19477,7 +14153,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1425" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1064" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19490,7 +14166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1426" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1065" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19505,19 +14181,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1427" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="1066" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="1428" name="Constant_118303" type="Const" version="opset1">
+		<layer id="1067" name="Constant_38261" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1429" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="1068" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19530,7 +14206,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1430" name="Constant_118307" type="Const" version="opset1">
+		<layer id="1069" name="Constant_38265" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19538,7 +14214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1431" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1070" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19551,23 +14227,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1432" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1071" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1433" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1072" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1434" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="1073" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19589,7 +14265,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1435" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1074" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19610,15 +14286,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1436" name="Constant_118431" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1075" name="Constant_38389" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1437" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1076" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19639,121 +14315,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1438" name="nncf_module.bert.encoder.layer.7.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="146072068" size="3072" />
+		<layer id="1077" name="nncf_module.bert.encoder.layer.7.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="296280212" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1439" name="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1440" name="/nncf_module/bert/encoder/layer.7/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="146075140" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1441" name="Convert_145929" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1442" name="Constant_145866" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="146664964" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1443" name="/nncf_module/bert/encoder/layer.7/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1444" name="Constant_118011" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1078" name="onnx::MatMul_1623" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="296283284" size="2359296" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1445" name="/nncf_module/bert/encoder/layer.7/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1623">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1446" name="/nncf_module/bert/encoder/layer.7/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1079" name="/nncf_module/bert/encoder/layer.7/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19774,7 +14353,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1447" name="/nncf_module/bert/encoder/layer.7/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="1080" name="/nncf_module/bert/encoder/layer.7/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19794,52 +14373,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1448" name="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="146668036" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1449" name="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="146668040" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1450" name="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1451" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="1081" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19854,19 +14388,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1452" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant" type="Const" version="opset1">
+		<layer id="1082" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1453" name="Constant_118020" type="Const" version="opset1">
+		<layer id="1083" name="Constant_37985" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1454" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="1084" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19879,7 +14413,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="1455" name="Constant_118026" type="Const" version="opset1">
+		<layer id="1085" name="Constant_37991" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19887,7 +14421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1456" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1086" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19900,7 +14434,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1457" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1087" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19915,19 +14449,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1458" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="1088" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1459" name="Constant_118024" type="Const" version="opset1">
+		<layer id="1089" name="Constant_37989" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1460" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="1090" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19940,7 +14474,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1461" name="Constant_118028" type="Const" version="opset1">
+		<layer id="1091" name="Constant_37993" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -19948,7 +14482,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1462" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1092" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -19961,23 +14495,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1463" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1093" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1464" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1094" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1465" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="1095" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19999,7 +14533,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1466" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="1096" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20020,15 +14554,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1467" name="Constant_118433" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="1097" name="Constant_38391" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1468" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1098" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20049,7 +14583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1469" name="/nncf_module/bert/encoder/layer.7/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="1099" name="/nncf_module/bert/encoder/layer.7/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20068,197 +14602,100 @@
 			<output>
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/MatMul_output_0">
 					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1470" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_12_output_0" />
-			</output>
-		</layer>
-		<layer id="1471" name="/nncf_module/bert/encoder/layer.7/attention/self/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1472" name="/nncf_module/bert/encoder/layer.7/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1473" name="/nncf_module/bert/encoder/layer.7/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1474" name="nncf_module.bert.encoder.layer.7.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="146668044" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1475" name="/nncf_module/bert/encoder/layer.7/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
+					<dim>12</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1476" name="/nncf_module/bert/encoder/layer.7/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="146671116" size="589824" />
+		<layer id="1100" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="1477" name="Convert_146050" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1101" name="/nncf_module/bert/encoder/layer.7/attention/self/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1478" name="Constant_145987" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="147260940" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1479" name="/nncf_module/bert/encoder/layer.7/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1102" name="/nncf_module/bert/encoder/layer.7/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1480" name="Constant_118157" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1103" name="/nncf_module/bert/encoder/layer.7/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1481" name="/nncf_module/bert/encoder/layer.7/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="1104" name="nncf_module.bert.encoder.layer.7.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="298642580" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1105" name="onnx::MatMul_1626" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="298645652" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1626">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1482" name="/nncf_module/bert/encoder/layer.7/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1106" name="/nncf_module/bert/encoder/layer.7/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20279,7 +14716,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1483" name="/nncf_module/bert/encoder/layer.7/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="1107" name="/nncf_module/bert/encoder/layer.7/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20299,7 +14736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1484" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1108" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20314,19 +14751,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1485" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="1109" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1486" name="Constant_118163" type="Const" version="opset1">
+		<layer id="1110" name="Constant_38121" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1487" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="1111" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20339,7 +14776,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1488" name="Constant_118169" type="Const" version="opset1">
+		<layer id="1112" name="Constant_38127" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20347,7 +14784,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1489" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1113" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20360,7 +14797,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1490" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1114" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20375,19 +14812,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1491" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="1115" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1492" name="Constant_118167" type="Const" version="opset1">
+		<layer id="1116" name="Constant_38125" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1493" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="1117" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20400,7 +14837,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="1494" name="Constant_118171" type="Const" version="opset1">
+		<layer id="1118" name="Constant_38129" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20408,7 +14845,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1495" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1119" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20421,23 +14858,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1496" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1120" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1497" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1121" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1498" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="1122" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20459,7 +14896,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1499" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1123" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20480,15 +14917,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1500" name="Constant_118295" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1124" name="Constant_38253" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1501" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="1125" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20509,7 +14946,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1502" name="/nncf_module/bert/encoder/layer.7/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1126" name="/nncf_module/bert/encoder/layer.7/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20534,62 +14971,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1503" name="/nncf_module/bert/encoder/layer.7/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="147264012" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1504" name="/nncf_module/bert/encoder/layer.7/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="147264016" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1505" name="/nncf_module/bert/encoder/layer.7/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1506" name="Constant_118444" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1127" name="Constant_38399" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1507" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1128" name="/nncf_module/bert/encoder/layer.7/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -20610,7 +15000,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1508" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1129" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20626,19 +15016,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1509" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="1130" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="1510" name="Constant_118448" type="Const" version="opset1">
+		<layer id="1131" name="Constant_38403" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1511" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="1132" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20651,7 +15041,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="1512" name="Constant_118454" type="Const" version="opset1">
+		<layer id="1133" name="Constant_38409" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20659,7 +15049,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1513" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1134" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20672,7 +15062,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1514" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1135" name="/nncf_module/bert/encoder/layer.7/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20688,19 +15078,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1515" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="1136" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="1516" name="Constant_118452" type="Const" version="opset1">
+		<layer id="1137" name="Constant_38407" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1517" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="1138" name="/nncf_module/bert/encoder/layer.7/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20713,7 +15103,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="1518" name="Constant_118456" type="Const" version="opset1">
+		<layer id="1139" name="Constant_38411" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20721,7 +15111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1519" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1140" name="/nncf_module/bert/encoder/layer.7/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -20734,15 +15124,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1520" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="1141" name="/nncf_module/bert/encoder/layer.7/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.7/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1521" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="1142" name="/nncf_module/bert/encoder/layer.7/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -20761,7 +15151,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1522" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1143" name="/nncf_module/bert/encoder/layer.7/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20782,84 +15172,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1523" name="/nncf_module/bert/encoder/layer.7/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="147264020" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1524" name="Convert_146171" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1525" name="Constant_146108" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="147853844" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1526" name="/nncf_module/bert/encoder/layer.7/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1527" name="Constant_118577" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1528" name="/nncf_module/bert/encoder/layer.7/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1144" name="onnx::MatMul_1632" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="301004948" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1632">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1529" name="/nncf_module/bert/encoder/layer.7/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1145" name="/nncf_module/bert/encoder/layer.7/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20880,7 +15202,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1530" name="/nncf_module/bert/encoder/layer.7/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1146" name="/nncf_module/bert/encoder/layer.7/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20900,7 +15222,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1531" name="/nncf_module/bert/encoder/layer.7/attention/output/Add" type="Add" version="opset1">
+		<layer id="1147" name="/nncf_module/bert/encoder/layer.7/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20922,7 +15244,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1532" name="Constant_118582" type="Const" version="opset1">
+		<layer id="1148" name="Constant_38531" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -20930,7 +15252,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1533" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1149" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20950,7 +15272,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1534" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1150" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20972,13 +15294,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1535" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1151" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1536" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1152" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20996,7 +15318,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1537" name="Constant_118587" type="Const" version="opset1">
+		<layer id="1153" name="Constant_38536" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -21004,7 +15326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1538" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1154" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21024,13 +15346,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1539" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1155" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1540" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1156" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21044,122 +15366,28 @@
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1541" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Sqrt_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1542" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1543" name="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="147856916" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1544" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1545" name="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="147859988" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1546" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1547" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="147863060" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
+		<layer id="1157" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1548" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="147863064" size="4" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Sqrt_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1549" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1158" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21167,104 +15395,85 @@
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1550" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="147863068" size="2359296" />
+		<layer id="1159" name="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="303364244" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1551" name="Convert_146292" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1160" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1552" name="Constant_146229" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="150222364" size="12288" />
+		<layer id="1161" name="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="303367316" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1553" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1162" name="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1554" name="Constant_118602" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1555" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1163" name="onnx::MatMul_1633" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="303370388" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1633">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1556" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1164" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21285,7 +15494,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1557" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1165" name="/nncf_module/bert/encoder/layer.7/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21305,13 +15514,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1558" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="1166" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1559" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1167" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21329,7 +15538,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1560" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1168" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21345,13 +15554,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1561" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1169" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1562" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1170" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21369,7 +15578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1563" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1171" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21391,13 +15600,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1564" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="1172" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1565" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1173" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21415,129 +15624,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1566" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="150234652" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1567" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="150234656" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1568" name="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.7/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1569" name="/nncf_module/bert/encoder/layer.7/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="150234660" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1570" name="Convert_146413" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1571" name="Constant_146350" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="152593956" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1572" name="/nncf_module/bert/encoder/layer.7/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1573" name="Constant_118621" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1574" name="/nncf_module/bert/encoder/layer.7/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1174" name="onnx::MatMul_1634" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="312807572" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1634">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1575" name="/nncf_module/bert/encoder/layer.7/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1175" name="/nncf_module/bert/encoder/layer.7/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21558,7 +15654,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1576" name="/nncf_module/bert/encoder/layer.7/output/dense/Add" type="Add" version="opset1">
+		<layer id="1176" name="/nncf_module/bert/encoder/layer.7/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21578,7 +15674,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1577" name="/nncf_module/bert/encoder/layer.7/output/Add" type="Add" version="opset1">
+		<layer id="1177" name="/nncf_module/bert/encoder/layer.7/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21600,7 +15696,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1578" name="Constant_118626" type="Const" version="opset1">
+		<layer id="1178" name="Constant_38557" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -21608,7 +15704,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1579" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1179" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21628,7 +15724,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1580" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1180" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21650,13 +15746,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1581" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1181" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1582" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1182" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21674,7 +15770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1583" name="Constant_118631" type="Const" version="opset1">
+		<layer id="1183" name="Constant_38562" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -21682,7 +15778,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1584" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1184" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21702,13 +15798,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1585" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1185" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1586" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1186" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21726,7 +15822,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1587" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1187" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21742,7 +15838,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1588" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1188" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21764,15 +15860,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1589" name="nncf_module.bert.encoder.layer.7.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="152597028" size="3072" />
+		<layer id="1189" name="nncf_module.bert.encoder.layer.7.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="322244756" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1590" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1190" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21792,15 +15888,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1591" name="nncf_module.bert.encoder.layer.7.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="152600100" size="3072" />
+		<layer id="1191" name="nncf_module.bert.encoder.layer.7.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="322247828" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.7.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1592" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1192" name="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21815,134 +15911,21 @@
 			<output>
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.7/output/LayerNorm/Add_1_output_0">
 					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1593" name="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="152603172" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1594" name="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="152603176" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1595" name="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1596" name="/nncf_module/bert/encoder/layer.8/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="152603180" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1597" name="Convert_146534" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1598" name="Constant_146471" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="153193004" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1599" name="/nncf_module/bert/encoder/layer.8/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1600" name="Constant_118646" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1601" name="/nncf_module/bert/encoder/layer.8/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1193" name="onnx::MatMul_1635" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="322250900" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1635">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1602" name="/nncf_module/bert/encoder/layer.8/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1194" name="/nncf_module/bert/encoder/layer.8/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21963,7 +15946,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1603" name="/nncf_module/bert/encoder/layer.8/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="1195" name="/nncf_module/bert/encoder/layer.8/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21983,52 +15966,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1604" name="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="153196076" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1605" name="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="153196080" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1606" name="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1607" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1196" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22043,19 +15981,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1608" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="1197" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="1609" name="Constant_118946" type="Const" version="opset1">
+		<layer id="1198" name="Constant_38848" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1610" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="1199" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22068,7 +16006,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1611" name="Constant_118952" type="Const" version="opset1">
+		<layer id="1200" name="Constant_38854" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22076,7 +16014,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1612" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1201" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22089,7 +16027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1613" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1202" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22104,19 +16042,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1614" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="1203" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="1615" name="Constant_118950" type="Const" version="opset1">
+		<layer id="1204" name="Constant_38852" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1616" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="1205" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22129,7 +16067,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1617" name="Constant_118954" type="Const" version="opset1">
+		<layer id="1206" name="Constant_38856" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22137,7 +16075,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1618" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1207" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22150,23 +16088,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1619" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1208" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1620" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1209" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1621" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="1210" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22188,7 +16126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1622" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1211" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22209,15 +16147,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1623" name="Constant_119078" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1212" name="Constant_38980" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1624" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1213" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22238,121 +16176,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1625" name="nncf_module.bert.encoder.layer.8.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="153196084" size="3072" />
+		<layer id="1214" name="nncf_module.bert.encoder.layer.8.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="324610196" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1626" name="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1627" name="/nncf_module/bert/encoder/layer.8/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="153199156" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1628" name="Convert_146655" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1629" name="Constant_146592" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="153788980" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1630" name="/nncf_module/bert/encoder/layer.8/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1631" name="Constant_118658" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1632" name="/nncf_module/bert/encoder/layer.8/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1215" name="onnx::MatMul_1636" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="324613268" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1636">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1633" name="/nncf_module/bert/encoder/layer.8/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1216" name="/nncf_module/bert/encoder/layer.8/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22373,7 +16214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1634" name="/nncf_module/bert/encoder/layer.8/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="1217" name="/nncf_module/bert/encoder/layer.8/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22393,52 +16234,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1635" name="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="153792052" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1636" name="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="153792056" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1637" name="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1638" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="1218" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22453,19 +16249,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1639" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant" type="Const" version="opset1">
+		<layer id="1219" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1640" name="Constant_118667" type="Const" version="opset1">
+		<layer id="1220" name="Constant_38576" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1641" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="1221" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22478,7 +16274,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="1642" name="Constant_118673" type="Const" version="opset1">
+		<layer id="1222" name="Constant_38582" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22486,7 +16282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1643" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1223" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22499,7 +16295,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1644" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1224" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22514,19 +16310,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1645" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="1225" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1646" name="Constant_118671" type="Const" version="opset1">
+		<layer id="1226" name="Constant_38580" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1647" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="1227" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22539,7 +16335,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1648" name="Constant_118675" type="Const" version="opset1">
+		<layer id="1228" name="Constant_38584" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22547,7 +16343,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1649" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1229" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22560,23 +16356,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1650" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1230" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1651" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1231" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1652" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="1232" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22598,7 +16394,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1653" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="1233" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22619,15 +16415,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1654" name="Constant_119080" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="1234" name="Constant_38982" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1655" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1235" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22648,7 +16444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1656" name="/nncf_module/bert/encoder/layer.8/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="1236" name="/nncf_module/bert/encoder/layer.8/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22673,191 +16469,94 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1657" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
+		<layer id="1237" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="1658" name="/nncf_module/bert/encoder/layer.8/attention/self/Div" type="Divide" version="opset1">
+		<layer id="1238" name="/nncf_module/bert/encoder/layer.8/attention/self/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/Div_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1659" name="/nncf_module/bert/encoder/layer.8/attention/self/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/Add_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1660" name="/nncf_module/bert/encoder/layer.8/attention/self/Softmax" type="SoftMax" version="opset8">
-			<data axis="3" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/Softmax_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1661" name="nncf_module.bert.encoder.layer.8.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="153792060" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.attention.self.value.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1662" name="/nncf_module/bert/encoder/layer.8/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1663" name="/nncf_module/bert/encoder/layer.8/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="153795132" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1664" name="Convert_146776" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1665" name="Constant_146713" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="154384956" size="3072" />
+				<port id="1" precision="FP32" />
+			</input>
 			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/Div_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1666" name="/nncf_module/bert/encoder/layer.8/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1239" name="/nncf_module/bert/encoder/layer.8/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/Add_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1667" name="Constant_118804" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1240" name="/nncf_module/bert/encoder/layer.8/attention/self/Softmax" type="SoftMax" version="opset8">
+			<data axis="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/Softmax_output_0">
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1668" name="/nncf_module/bert/encoder/layer.8/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
+		<layer id="1241" name="nncf_module.bert.encoder.layer.8.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="326972564" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="1242" name="onnx::MatMul_1639" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="326975636" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1639">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1669" name="/nncf_module/bert/encoder/layer.8/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1243" name="/nncf_module/bert/encoder/layer.8/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22878,7 +16577,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1670" name="/nncf_module/bert/encoder/layer.8/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="1244" name="/nncf_module/bert/encoder/layer.8/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22898,7 +16597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1671" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1245" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22913,19 +16612,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1672" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="1246" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1673" name="Constant_118810" type="Const" version="opset1">
+		<layer id="1247" name="Constant_38712" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1674" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="1248" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22938,7 +16637,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1675" name="Constant_118816" type="Const" version="opset1">
+		<layer id="1249" name="Constant_38718" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -22946,7 +16645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1676" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1250" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -22959,7 +16658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1677" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1251" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22974,19 +16673,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1678" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="1252" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1679" name="Constant_118814" type="Const" version="opset1">
+		<layer id="1253" name="Constant_38716" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1680" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="1254" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -22999,7 +16698,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="1681" name="Constant_118818" type="Const" version="opset1">
+		<layer id="1255" name="Constant_38720" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23007,7 +16706,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1682" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1256" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -23020,23 +16719,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1683" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1257" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1684" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1258" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1685" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="1259" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -23058,7 +16757,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1686" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1260" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23079,15 +16778,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1687" name="Constant_118942" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1261" name="Constant_38844" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1688" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="1262" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23108,7 +16807,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1689" name="/nncf_module/bert/encoder/layer.8/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1263" name="/nncf_module/bert/encoder/layer.8/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23133,62 +16832,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1690" name="/nncf_module/bert/encoder/layer.8/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="154388028" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1691" name="/nncf_module/bert/encoder/layer.8/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="154388032" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1692" name="/nncf_module/bert/encoder/layer.8/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1693" name="Constant_119091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1264" name="Constant_38990" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1694" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1265" name="/nncf_module/bert/encoder/layer.8/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23209,7 +16861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1695" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1266" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23225,19 +16877,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1696" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="1267" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="1697" name="Constant_119095" type="Const" version="opset1">
+		<layer id="1268" name="Constant_38994" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1698" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="1269" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -23250,7 +16902,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="1699" name="Constant_119101" type="Const" version="opset1">
+		<layer id="1270" name="Constant_39000" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23258,7 +16910,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1700" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1271" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -23271,7 +16923,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1701" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1272" name="/nncf_module/bert/encoder/layer.8/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23287,19 +16939,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1702" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="1273" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="1703" name="Constant_119099" type="Const" version="opset1">
+		<layer id="1274" name="Constant_38998" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1704" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="1275" name="/nncf_module/bert/encoder/layer.8/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -23312,7 +16964,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="1705" name="Constant_119103" type="Const" version="opset1">
+		<layer id="1276" name="Constant_39002" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23320,7 +16972,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1706" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1277" name="/nncf_module/bert/encoder/layer.8/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -23333,15 +16985,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1707" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="1278" name="/nncf_module/bert/encoder/layer.8/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.8/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1708" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="1279" name="/nncf_module/bert/encoder/layer.8/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -23360,7 +17012,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1709" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1280" name="/nncf_module/bert/encoder/layer.8/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23381,84 +17033,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1710" name="/nncf_module/bert/encoder/layer.8/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="154388036" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1711" name="Convert_146897" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1712" name="Constant_146834" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="154977860" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1713" name="/nncf_module/bert/encoder/layer.8/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1714" name="Constant_119224" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1715" name="/nncf_module/bert/encoder/layer.8/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1281" name="onnx::MatMul_1645" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="329334932" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1645">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1716" name="/nncf_module/bert/encoder/layer.8/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1282" name="/nncf_module/bert/encoder/layer.8/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23479,7 +17063,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1717" name="/nncf_module/bert/encoder/layer.8/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1283" name="/nncf_module/bert/encoder/layer.8/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23499,7 +17083,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1718" name="/nncf_module/bert/encoder/layer.8/attention/output/Add" type="Add" version="opset1">
+		<layer id="1284" name="/nncf_module/bert/encoder/layer.8/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23521,7 +17105,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1719" name="Constant_119229" type="Const" version="opset1">
+		<layer id="1285" name="Constant_39122" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23529,7 +17113,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1720" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1286" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23549,7 +17133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1721" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1287" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23571,13 +17155,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1722" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1288" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1723" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1289" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23595,7 +17179,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1724" name="Constant_119234" type="Const" version="opset1">
+		<layer id="1290" name="Constant_39127" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -23603,7 +17187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1725" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1291" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23623,13 +17207,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1726" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1292" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1727" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1293" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23647,7 +17231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1728" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1294" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23663,7 +17247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1729" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1295" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23674,196 +17258,83 @@
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1730" name="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="154980932" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1731" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1732" name="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="154984004" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.bias">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1733" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Add_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1734" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="154987076" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1735" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="154987080" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1736" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1737" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="154987084" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1738" name="Convert_147018" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Div_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1739" name="Constant_146955" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="157346380" size="12288" />
+		<layer id="1296" name="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="331694228" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.weight">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1740" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1297" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1741" name="Constant_119249" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1298" name="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="331697300" size="3072" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1742" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1299" name="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1300" name="onnx::MatMul_1646" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="331700372" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_1646">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1743" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1301" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23884,7 +17355,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1744" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1302" name="/nncf_module/bert/encoder/layer.8/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23904,13 +17375,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1745" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="1303" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1746" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1304" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23928,7 +17399,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1747" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1305" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23944,13 +17415,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1748" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1306" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1749" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1307" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23968,7 +17439,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1750" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1308" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23990,13 +17461,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1751" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="1309" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1752" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1310" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24014,129 +17485,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1753" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="157358668" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1754" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="157358672" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1755" name="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.8/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1756" name="/nncf_module/bert/encoder/layer.8/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="157358676" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1757" name="Convert_147139" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1758" name="Constant_147076" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="159717972" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1759" name="/nncf_module/bert/encoder/layer.8/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1760" name="Constant_119268" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1761" name="/nncf_module/bert/encoder/layer.8/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1311" name="onnx::MatMul_1647" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="341137556" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.8/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1647">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1762" name="/nncf_module/bert/encoder/layer.8/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1312" name="/nncf_module/bert/encoder/layer.8/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24157,7 +17515,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1763" name="/nncf_module/bert/encoder/layer.8/output/dense/Add" type="Add" version="opset1">
+		<layer id="1313" name="/nncf_module/bert/encoder/layer.8/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24177,7 +17535,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1764" name="/nncf_module/bert/encoder/layer.8/output/Add" type="Add" version="opset1">
+		<layer id="1314" name="/nncf_module/bert/encoder/layer.8/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24199,7 +17557,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1765" name="Constant_119273" type="Const" version="opset1">
+		<layer id="1315" name="Constant_39148" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24207,7 +17565,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1766" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1316" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24227,7 +17585,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1767" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1317" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24249,13 +17607,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1768" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1318" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1769" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1319" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24273,7 +17631,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1770" name="Constant_119278" type="Const" version="opset1">
+		<layer id="1320" name="Constant_39153" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24281,7 +17639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1771" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1321" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24301,13 +17659,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1772" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1322" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1773" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1323" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24325,7 +17683,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1774" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1324" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24341,7 +17699,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1775" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1325" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24363,15 +17721,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1776" name="nncf_module.bert.encoder.layer.8.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="159721044" size="3072" />
+		<layer id="1326" name="nncf_module.bert.encoder.layer.8.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="350574740" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1777" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1327" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24391,15 +17749,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1778" name="nncf_module.bert.encoder.layer.8.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="159724116" size="3072" />
+		<layer id="1328" name="nncf_module.bert.encoder.layer.8.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="350577812" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.8.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1779" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1329" name="/nncf_module/bert/encoder/layer.8/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24419,129 +17777,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1780" name="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="159727188" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1781" name="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="159727192" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1782" name="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1783" name="/nncf_module/bert/encoder/layer.9/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="159727196" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1784" name="Convert_147260" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1785" name="Constant_147197" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="160317020" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1786" name="/nncf_module/bert/encoder/layer.9/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1787" name="Constant_119293" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1788" name="/nncf_module/bert/encoder/layer.9/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1330" name="onnx::MatMul_1648" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="350580884" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1648">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1789" name="/nncf_module/bert/encoder/layer.9/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1331" name="/nncf_module/bert/encoder/layer.9/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24557,77 +17802,32 @@
 			<output>
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/MatMul_output_0">
 					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1790" name="/nncf_module/bert/encoder/layer.9/attention/self/query/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1791" name="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="160320092" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1792" name="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="160320096" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1793" name="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1332" name="/nncf_module/bert/encoder/layer.9/attention/self/query/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/query/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1794" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1333" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24642,19 +17842,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1795" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="1334" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="1796" name="Constant_119593" type="Const" version="opset1">
+		<layer id="1335" name="Constant_39439" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1797" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="1336" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24667,7 +17867,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1798" name="Constant_119599" type="Const" version="opset1">
+		<layer id="1337" name="Constant_39445" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24675,7 +17875,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1799" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1338" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -24688,7 +17888,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1800" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1339" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24703,19 +17903,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1801" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="1340" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="1802" name="Constant_119597" type="Const" version="opset1">
+		<layer id="1341" name="Constant_39443" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1803" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="1342" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24728,7 +17928,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1804" name="Constant_119601" type="Const" version="opset1">
+		<layer id="1343" name="Constant_39447" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -24736,7 +17936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1805" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1344" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -24749,23 +17949,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1806" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1345" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1807" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1346" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1808" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="1347" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -24787,7 +17987,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1809" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1348" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24808,15 +18008,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1810" name="Constant_119725" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1349" name="Constant_39571" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1811" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1350" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24837,121 +18037,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1812" name="nncf_module.bert.encoder.layer.9.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="160320100" size="3072" />
+		<layer id="1351" name="nncf_module.bert.encoder.layer.9.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="352940180" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.9.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1813" name="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1814" name="/nncf_module/bert/encoder/layer.9/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="160323172" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1815" name="Convert_147381" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1816" name="Constant_147318" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="160912996" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1817" name="/nncf_module/bert/encoder/layer.9/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1818" name="Constant_119305" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1819" name="/nncf_module/bert/encoder/layer.9/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1352" name="onnx::MatMul_1649" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="352943252" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1649">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1820" name="/nncf_module/bert/encoder/layer.9/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1353" name="/nncf_module/bert/encoder/layer.9/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24972,7 +18075,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1821" name="/nncf_module/bert/encoder/layer.9/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="1354" name="/nncf_module/bert/encoder/layer.9/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24992,52 +18095,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1822" name="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="160916068" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1823" name="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="160916072" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1824" name="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1825" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="1355" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25052,19 +18110,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1826" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant" type="Const" version="opset1">
+		<layer id="1356" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1827" name="Constant_119314" type="Const" version="opset1">
+		<layer id="1357" name="Constant_39167" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1828" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="1358" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25077,7 +18135,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="1829" name="Constant_119320" type="Const" version="opset1">
+		<layer id="1359" name="Constant_39173" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25085,7 +18143,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1830" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1360" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25098,7 +18156,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1831" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1361" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25113,19 +18171,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1832" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="1362" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1833" name="Constant_119318" type="Const" version="opset1">
+		<layer id="1363" name="Constant_39171" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1834" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="1364" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25138,7 +18196,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1835" name="Constant_119322" type="Const" version="opset1">
+		<layer id="1365" name="Constant_39175" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25146,7 +18204,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1836" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1366" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25159,23 +18217,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1837" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1367" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1838" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1368" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1839" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="1369" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25197,7 +18255,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1840" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="1370" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25218,15 +18276,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1841" name="Constant_119727" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="1371" name="Constant_39573" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1842" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1372" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25247,7 +18305,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1843" name="/nncf_module/bert/encoder/layer.9/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="1373" name="/nncf_module/bert/encoder/layer.9/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25272,13 +18330,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1844" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
+		<layer id="1374" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="1845" name="/nncf_module/bert/encoder/layer.9/attention/self/Div" type="Divide" version="opset1">
+		<layer id="1375" name="/nncf_module/bert/encoder/layer.9/attention/self/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25298,7 +18356,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1846" name="/nncf_module/bert/encoder/layer.9/attention/self/Add" type="Add" version="opset1">
+		<layer id="1376" name="/nncf_module/bert/encoder/layer.9/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25323,7 +18381,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1847" name="/nncf_module/bert/encoder/layer.9/attention/self/Softmax" type="SoftMax" version="opset8">
+		<layer id="1377" name="/nncf_module/bert/encoder/layer.9/attention/self/Softmax" type="SoftMax" version="opset8">
 			<data axis="3" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25342,121 +18400,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1848" name="nncf_module.bert.encoder.layer.9.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="160916076" size="3072" />
+		<layer id="1378" name="nncf_module.bert.encoder.layer.9.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="355302548" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.9.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1849" name="/nncf_module/bert/encoder/layer.9/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1850" name="/nncf_module/bert/encoder/layer.9/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="160919148" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1851" name="Convert_147502" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1852" name="Constant_147439" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="161508972" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1853" name="/nncf_module/bert/encoder/layer.9/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1854" name="Constant_119451" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1855" name="/nncf_module/bert/encoder/layer.9/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1379" name="onnx::MatMul_1652" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="355305620" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1652">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1856" name="/nncf_module/bert/encoder/layer.9/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1380" name="/nncf_module/bert/encoder/layer.9/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25477,7 +18438,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1857" name="/nncf_module/bert/encoder/layer.9/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="1381" name="/nncf_module/bert/encoder/layer.9/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25497,7 +18458,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1858" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1382" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25512,19 +18473,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1859" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="1383" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1860" name="Constant_119457" type="Const" version="opset1">
+		<layer id="1384" name="Constant_39303" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1861" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="1385" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25537,7 +18498,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1862" name="Constant_119463" type="Const" version="opset1">
+		<layer id="1386" name="Constant_39309" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25545,7 +18506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1863" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1387" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25558,7 +18519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1864" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1388" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25573,19 +18534,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1865" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="1389" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1866" name="Constant_119461" type="Const" version="opset1">
+		<layer id="1390" name="Constant_39307" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1867" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="1391" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25598,7 +18559,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="1868" name="Constant_119465" type="Const" version="opset1">
+		<layer id="1392" name="Constant_39311" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25606,7 +18567,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1869" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1393" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25619,23 +18580,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1870" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1394" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1871" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1395" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1872" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="1396" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25657,7 +18618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1873" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1397" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25678,15 +18639,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1874" name="Constant_119589" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1398" name="Constant_39435" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1875" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="1399" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25707,7 +18668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1876" name="/nncf_module/bert/encoder/layer.9/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1400" name="/nncf_module/bert/encoder/layer.9/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25717,61 +18678,14 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/MatMul_1_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1877" name="/nncf_module/bert/encoder/layer.9/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="161512044" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1878" name="/nncf_module/bert/encoder/layer.9/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="161512048" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1879" name="/nncf_module/bert/encoder/layer.9/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/self/MatMul_1_output_0">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -25779,15 +18693,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1880" name="Constant_119738" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1401" name="Constant_39581" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1881" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1402" name="/nncf_module/bert/encoder/layer.9/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25808,7 +18722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1882" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1403" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25824,19 +18738,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1883" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="1404" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="1884" name="Constant_119742" type="Const" version="opset1">
+		<layer id="1405" name="Constant_39585" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1885" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="1406" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25849,7 +18763,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="1886" name="Constant_119748" type="Const" version="opset1">
+		<layer id="1407" name="Constant_39591" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25857,7 +18771,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1887" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1408" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25870,7 +18784,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1888" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1409" name="/nncf_module/bert/encoder/layer.9/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25886,19 +18800,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1889" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="1410" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="1890" name="Constant_119746" type="Const" version="opset1">
+		<layer id="1411" name="Constant_39589" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1891" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="1412" name="/nncf_module/bert/encoder/layer.9/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25911,7 +18825,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="1892" name="Constant_119750" type="Const" version="opset1">
+		<layer id="1413" name="Constant_39593" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -25919,7 +18833,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1893" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1414" name="/nncf_module/bert/encoder/layer.9/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -25932,15 +18846,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1894" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="1415" name="/nncf_module/bert/encoder/layer.9/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.9/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1895" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="1416" name="/nncf_module/bert/encoder/layer.9/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -25959,7 +18873,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1896" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1417" name="/nncf_module/bert/encoder/layer.9/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25980,84 +18894,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1897" name="/nncf_module/bert/encoder/layer.9/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="161512052" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1898" name="Convert_147623" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1899" name="Constant_147560" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="162101876" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1900" name="/nncf_module/bert/encoder/layer.9/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1901" name="Constant_119871" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1418" name="onnx::MatMul_1658" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="357664916" size="2359296" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1902" name="/nncf_module/bert/encoder/layer.9/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1658">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1903" name="/nncf_module/bert/encoder/layer.9/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1419" name="/nncf_module/bert/encoder/layer.9/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26078,7 +18924,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1904" name="/nncf_module/bert/encoder/layer.9/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1420" name="/nncf_module/bert/encoder/layer.9/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26098,7 +18944,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1905" name="/nncf_module/bert/encoder/layer.9/attention/output/Add" type="Add" version="opset1">
+		<layer id="1421" name="/nncf_module/bert/encoder/layer.9/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26120,7 +18966,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1906" name="Constant_119876" type="Const" version="opset1">
+		<layer id="1422" name="Constant_39713" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26128,7 +18974,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1907" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1423" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26148,7 +18994,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1908" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1424" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26170,13 +19016,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1909" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1425" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1910" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1426" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26194,7 +19040,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1911" name="Constant_119881" type="Const" version="opset1">
+		<layer id="1427" name="Constant_39718" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26202,7 +19048,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1912" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1428" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26222,13 +19068,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1913" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1429" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1914" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1430" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26246,7 +19092,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1915" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1431" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26262,7 +19108,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1916" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1432" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26284,15 +19130,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1917" name="nncf_module.bert.encoder.layer.9.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="162104948" size="3072" />
+		<layer id="1433" name="nncf_module.bert.encoder.layer.9.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="360024212" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.9.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1918" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1434" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26312,15 +19158,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1919" name="nncf_module.bert.encoder.layer.9.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="162108020" size="3072" />
+		<layer id="1435" name="nncf_module.bert.encoder.layer.9.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="360027284" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.9.attention.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1920" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1436" name="/nncf_module/bert/encoder/layer.9/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26340,129 +19186,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1921" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="162111092" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1922" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="162111096" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1923" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1924" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="162111100" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1925" name="Convert_147744" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1926" name="Constant_147681" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="164470396" size="12288" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1927" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1928" name="Constant_119896" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1929" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1437" name="onnx::MatMul_1659" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="360030356" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1659">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1930" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1438" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26483,7 +19216,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1931" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1439" name="/nncf_module/bert/encoder/layer.9/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26503,13 +19236,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1932" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="1440" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1933" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1441" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26527,7 +19260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1934" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1442" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26543,13 +19276,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1935" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1443" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1936" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1444" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26567,70 +19300,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1937" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1938" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_2_output_0" />
-			</output>
-		</layer>
-		<layer id="1939" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1445" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1940" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="164482684" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1941" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="164482688" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1942" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26638,104 +19309,53 @@
 					<dim>3072</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1943" name="/nncf_module/bert/encoder/layer.9/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="164482692" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1944" name="Convert_147865" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1945" name="Constant_147802" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="166841988" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1946" name="/nncf_module/bert/encoder/layer.9/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1947" name="Constant_119915" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1446" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="1948" name="/nncf_module/bert/encoder/layer.9/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1447" name="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.9/intermediate/intermediate_act_fn/Mul_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1448" name="onnx::MatMul_1660" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="369467540" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_1660">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1949" name="/nncf_module/bert/encoder/layer.9/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1449" name="/nncf_module/bert/encoder/layer.9/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26756,7 +19376,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1950" name="/nncf_module/bert/encoder/layer.9/output/dense/Add" type="Add" version="opset1">
+		<layer id="1450" name="/nncf_module/bert/encoder/layer.9/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26776,7 +19396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1951" name="/nncf_module/bert/encoder/layer.9/output/Add" type="Add" version="opset1">
+		<layer id="1451" name="/nncf_module/bert/encoder/layer.9/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26798,7 +19418,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1952" name="Constant_119920" type="Const" version="opset1">
+		<layer id="1452" name="Constant_39739" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26806,7 +19426,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1953" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1453" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26826,7 +19446,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1954" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1454" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26848,13 +19468,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1955" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1455" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="1956" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1456" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26872,7 +19492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1957" name="Constant_119925" type="Const" version="opset1">
+		<layer id="1457" name="Constant_39744" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -26880,7 +19500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1958" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1458" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26900,13 +19520,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1959" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1459" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="1960" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1460" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26924,7 +19544,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1961" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1461" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -26940,7 +19560,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1962" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1462" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26962,15 +19582,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1963" name="nncf_module.bert.encoder.layer.9.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="166845060" size="3072" />
+		<layer id="1463" name="nncf_module.bert.encoder.layer.9.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="378904724" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.9.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1964" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1464" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26990,15 +19610,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1965" name="nncf_module.bert.encoder.layer.9.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="166848132" size="3072" />
+		<layer id="1465" name="nncf_module.bert.encoder.layer.9.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="378907796" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.9.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1966" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1466" name="/nncf_module/bert/encoder/layer.9/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27018,129 +19638,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1967" name="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="166851204" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1968" name="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="166851208" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1969" name="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1970" name="/nncf_module/bert/encoder/layer.10/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="166851212" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1971" name="Convert_147986" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1972" name="Constant_147923" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="167441036" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1973" name="/nncf_module/bert/encoder/layer.10/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1974" name="Constant_119940" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1975" name="/nncf_module/bert/encoder/layer.10/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1467" name="onnx::MatMul_1661" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="378910868" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1661">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1976" name="/nncf_module/bert/encoder/layer.10/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1468" name="/nncf_module/bert/encoder/layer.10/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27161,7 +19668,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1977" name="/nncf_module/bert/encoder/layer.10/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="1469" name="/nncf_module/bert/encoder/layer.10/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27181,52 +19688,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1978" name="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="167444108" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1979" name="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="167444112" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1980" name="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1981" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1470" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27241,19 +19703,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1982" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="1471" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="1983" name="Constant_120240" type="Const" version="opset1">
+		<layer id="1472" name="Constant_40030" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1984" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="1473" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27266,7 +19728,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="1985" name="Constant_120246" type="Const" version="opset1">
+		<layer id="1474" name="Constant_40036" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27274,7 +19736,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1986" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1475" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27287,7 +19749,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1987" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1476" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27302,19 +19764,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1988" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="1477" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="1989" name="Constant_120244" type="Const" version="opset1">
+		<layer id="1478" name="Constant_40034" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1990" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="1479" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27327,7 +19789,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="1991" name="Constant_120248" type="Const" version="opset1">
+		<layer id="1480" name="Constant_40038" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27335,7 +19797,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1992" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1481" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27348,23 +19810,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1993" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1482" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1994" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1483" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1995" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="1484" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27386,7 +19848,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1996" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1485" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27407,15 +19869,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1997" name="Constant_120372" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1486" name="Constant_40162" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1998" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1487" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27436,121 +19898,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1999" name="nncf_module.bert.encoder.layer.10.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="167444116" size="3072" />
+		<layer id="1488" name="nncf_module.bert.encoder.layer.10.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="381270164" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2000" name="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2001" name="/nncf_module/bert/encoder/layer.10/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="167447188" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2002" name="Convert_148107" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2003" name="Constant_148044" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="168037012" size="3072" />
+		<layer id="1489" name="onnx::MatMul_1662" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="381273236" size="2359296" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2004" name="/nncf_module/bert/encoder/layer.10/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2005" name="Constant_119952" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2006" name="/nncf_module/bert/encoder/layer.10/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1662">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2007" name="/nncf_module/bert/encoder/layer.10/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1490" name="/nncf_module/bert/encoder/layer.10/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27571,7 +19936,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2008" name="/nncf_module/bert/encoder/layer.10/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="1491" name="/nncf_module/bert/encoder/layer.10/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27584,59 +19949,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2009" name="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="168040084" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2010" name="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="168040088" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2011" name="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/key/Add_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2012" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="1492" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27651,19 +19971,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2013" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant" type="Const" version="opset1">
+		<layer id="1493" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2014" name="Constant_119961" type="Const" version="opset1">
+		<layer id="1494" name="Constant_39758" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2015" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="1495" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27676,7 +19996,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="2016" name="Constant_119967" type="Const" version="opset1">
+		<layer id="1496" name="Constant_39764" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27684,7 +20004,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2017" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1497" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27697,7 +20017,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2018" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1498" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27712,19 +20032,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2019" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="1499" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2020" name="Constant_119965" type="Const" version="opset1">
+		<layer id="1500" name="Constant_39762" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2021" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="1501" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27737,7 +20057,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2022" name="Constant_119969" type="Const" version="opset1">
+		<layer id="1502" name="Constant_39766" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -27745,7 +20065,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2023" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1503" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -27758,23 +20078,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2024" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1504" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2025" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1505" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2026" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="1506" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -27796,7 +20116,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2027" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="1507" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27817,15 +20137,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2028" name="Constant_120374" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="1508" name="Constant_40164" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2029" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1509" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -27846,7 +20166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2030" name="/nncf_module/bert/encoder/layer.10/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="1510" name="/nncf_module/bert/encoder/layer.10/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27871,13 +20191,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2031" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
+		<layer id="1511" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="2032" name="/nncf_module/bert/encoder/layer.10/attention/self/Div" type="Divide" version="opset1">
+		<layer id="1512" name="/nncf_module/bert/encoder/layer.10/attention/self/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27897,7 +20217,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2033" name="/nncf_module/bert/encoder/layer.10/attention/self/Add" type="Add" version="opset1">
+		<layer id="1513" name="/nncf_module/bert/encoder/layer.10/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27922,7 +20242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2034" name="/nncf_module/bert/encoder/layer.10/attention/self/Softmax" type="SoftMax" version="opset8">
+		<layer id="1514" name="/nncf_module/bert/encoder/layer.10/attention/self/Softmax" type="SoftMax" version="opset8">
 			<data axis="3" />
 			<input>
 				<port id="0" precision="FP32">
@@ -27941,121 +20261,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2035" name="nncf_module.bert.encoder.layer.10.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="168040092" size="3072" />
+		<layer id="1515" name="nncf_module.bert.encoder.layer.10.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="383632532" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2036" name="/nncf_module/bert/encoder/layer.10/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2037" name="/nncf_module/bert/encoder/layer.10/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="168043164" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2038" name="Convert_148228" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2039" name="Constant_148165" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="168632988" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2040" name="/nncf_module/bert/encoder/layer.10/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2041" name="Constant_120098" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2042" name="/nncf_module/bert/encoder/layer.10/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1516" name="onnx::MatMul_1665" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="383635604" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1665">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2043" name="/nncf_module/bert/encoder/layer.10/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1517" name="/nncf_module/bert/encoder/layer.10/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28076,7 +20299,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2044" name="/nncf_module/bert/encoder/layer.10/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="1518" name="/nncf_module/bert/encoder/layer.10/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28096,7 +20319,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2045" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1519" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28111,19 +20334,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2046" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="1520" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="2047" name="Constant_120104" type="Const" version="opset1">
+		<layer id="1521" name="Constant_39894" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2048" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="1522" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28136,7 +20359,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="2049" name="Constant_120110" type="Const" version="opset1">
+		<layer id="1523" name="Constant_39900" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28144,7 +20367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2050" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1524" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -28157,7 +20380,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2051" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1525" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28172,19 +20395,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2052" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="1526" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="2053" name="Constant_120108" type="Const" version="opset1">
+		<layer id="1527" name="Constant_39898" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2054" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="1528" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28197,7 +20420,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="2055" name="Constant_120112" type="Const" version="opset1">
+		<layer id="1529" name="Constant_39902" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28205,7 +20428,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2056" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1530" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -28218,23 +20441,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2057" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1531" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2058" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1532" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2059" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="1533" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28256,7 +20479,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2060" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1534" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28277,15 +20500,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2061" name="Constant_120236" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1535" name="Constant_40026" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2062" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="1536" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28306,7 +20529,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2063" name="/nncf_module/bert/encoder/layer.10/attention/self/MatMul_1" type="MatMul" version="opset1">
+		<layer id="1537" name="/nncf_module/bert/encoder/layer.10/attention/self/MatMul_1" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28331,62 +20554,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2064" name="/nncf_module/bert/encoder/layer.10/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="168636060" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2065" name="/nncf_module/bert/encoder/layer.10/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="168636064" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2066" name="/nncf_module/bert/encoder/layer.10/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2067" name="Constant_120385" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1538" name="Constant_40172" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2068" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1539" name="/nncf_module/bert/encoder/layer.10/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28407,7 +20583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2069" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1540" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28423,19 +20599,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2070" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="1541" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="2071" name="Constant_120389" type="Const" version="opset1">
+		<layer id="1542" name="Constant_40176" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2072" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="1543" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28448,7 +20624,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="2073" name="Constant_120395" type="Const" version="opset1">
+		<layer id="1544" name="Constant_40182" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28456,7 +20632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2074" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1545" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -28469,7 +20645,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2075" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1546" name="/nncf_module/bert/encoder/layer.10/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28485,19 +20661,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2076" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="1547" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="2077" name="Constant_120393" type="Const" version="opset1">
+		<layer id="1548" name="Constant_40180" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2078" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="1549" name="/nncf_module/bert/encoder/layer.10/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28510,7 +20686,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="2079" name="Constant_120397" type="Const" version="opset1">
+		<layer id="1550" name="Constant_40184" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28518,7 +20694,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2080" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1551" name="/nncf_module/bert/encoder/layer.10/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -28531,15 +20707,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2081" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="1552" name="/nncf_module/bert/encoder/layer.10/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.10/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2082" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="1553" name="/nncf_module/bert/encoder/layer.10/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -28558,7 +20734,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2083" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1554" name="/nncf_module/bert/encoder/layer.10/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28579,84 +20755,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2084" name="/nncf_module/bert/encoder/layer.10/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="168636068" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2085" name="Convert_148349" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2086" name="Constant_148286" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="169225892" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2087" name="/nncf_module/bert/encoder/layer.10/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2088" name="Constant_120518" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2089" name="/nncf_module/bert/encoder/layer.10/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1555" name="onnx::MatMul_1671" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="385994900" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1671">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2090" name="/nncf_module/bert/encoder/layer.10/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1556" name="/nncf_module/bert/encoder/layer.10/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28677,7 +20785,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2091" name="/nncf_module/bert/encoder/layer.10/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1557" name="/nncf_module/bert/encoder/layer.10/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28697,7 +20805,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2092" name="/nncf_module/bert/encoder/layer.10/attention/output/Add" type="Add" version="opset1">
+		<layer id="1558" name="/nncf_module/bert/encoder/layer.10/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28719,7 +20827,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2093" name="Constant_120523" type="Const" version="opset1">
+		<layer id="1559" name="Constant_40304" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28727,7 +20835,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2094" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1560" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28747,7 +20855,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2095" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1561" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28769,13 +20877,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2096" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1562" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2097" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1563" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28793,7 +20901,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2098" name="Constant_120528" type="Const" version="opset1">
+		<layer id="1564" name="Constant_40309" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -28801,7 +20909,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2099" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1565" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28821,13 +20929,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2100" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1566" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2101" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1567" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28840,123 +20948,29 @@
 			<output>
 				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Add_output_0">
 					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2102" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Sqrt_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2103" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2104" name="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="169228964" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.weight">
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2105" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2106" name="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="169232036" size="3072" />
-			<output>
-				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.bias">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2107" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1568" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Add_1_output_0">
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Sqrt_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2108" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="169235108" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2109" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="169235112" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2110" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1569" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28964,104 +20978,85 @@
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2111" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="169235116" size="2359296" />
+		<layer id="1570" name="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="388354196" size="3072" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2112" name="Convert_148470" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1571" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2113" name="Constant_148407" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="171594412" size="12288" />
+		<layer id="1572" name="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="388357268" size="3072" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.attention.output.LayerNorm.bias">
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2114" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1573" name="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>3072</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/attention/output/LayerNorm/Add_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2115" name="Constant_120543" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2116" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1574" name="onnx::MatMul_1672" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="388360340" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1672">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2117" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1575" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29082,7 +21077,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2118" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1576" name="/nncf_module/bert/encoder/layer.10/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29102,13 +21097,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2119" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
+		<layer id="1577" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2120" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+		<layer id="1578" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29126,7 +21121,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2121" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
+		<layer id="1579" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29142,13 +21137,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2122" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1580" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2123" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+		<layer id="1581" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29166,7 +21161,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2124" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
+		<layer id="1582" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29188,13 +21183,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2125" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="1583" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="2126" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+		<layer id="1584" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29212,121 +21207,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2127" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="171606700" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2128" name="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.10/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2129" name="/nncf_module/bert/encoder/layer.10/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="171606704" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2130" name="Convert_148591" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2131" name="Constant_148528" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="173966000" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2132" name="/nncf_module/bert/encoder/layer.10/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2133" name="Constant_120561" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2134" name="/nncf_module/bert/encoder/layer.10/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1585" name="onnx::MatMul_1673" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="397797524" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.10/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1673">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2135" name="/nncf_module/bert/encoder/layer.10/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1586" name="/nncf_module/bert/encoder/layer.10/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29347,7 +21237,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2136" name="/nncf_module/bert/encoder/layer.10/output/dense/Add" type="Add" version="opset1">
+		<layer id="1587" name="/nncf_module/bert/encoder/layer.10/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29367,7 +21257,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2137" name="/nncf_module/bert/encoder/layer.10/output/Add" type="Add" version="opset1">
+		<layer id="1588" name="/nncf_module/bert/encoder/layer.10/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29389,7 +21279,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2138" name="Constant_120566" type="Const" version="opset1">
+		<layer id="1589" name="Constant_40330" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29397,7 +21287,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2139" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1590" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29417,7 +21307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2140" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1591" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29439,13 +21329,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2141" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1592" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2142" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1593" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29463,7 +21353,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2143" name="Constant_120571" type="Const" version="opset1">
+		<layer id="1594" name="Constant_40335" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29471,7 +21361,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2144" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1595" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29491,13 +21381,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2145" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1596" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2146" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1597" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29515,7 +21405,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2147" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1598" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29531,7 +21421,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2148" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1599" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29553,15 +21443,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2149" name="nncf_module.bert.encoder.layer.10.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="173969072" size="3072" />
+		<layer id="1600" name="nncf_module.bert.encoder.layer.10.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="407234708" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2150" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1601" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29581,15 +21471,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2151" name="nncf_module.bert.encoder.layer.10.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="173972144" size="3072" />
+		<layer id="1602" name="nncf_module.bert.encoder.layer.10.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="407237780" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.10.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2152" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1603" name="/nncf_module/bert/encoder/layer.10/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29609,129 +21499,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2153" name="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="173975216" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2154" name="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="173975220" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2155" name="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2156" name="/nncf_module/bert/encoder/layer.11/attention/self/query/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="173975224" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2157" name="Convert_148712" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2158" name="Constant_148649" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="174565048" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2159" name="/nncf_module/bert/encoder/layer.11/attention/self/query/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2160" name="Constant_120586" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2161" name="/nncf_module/bert/encoder/layer.11/attention/self/query/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1604" name="onnx::MatMul_1674" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="407240852" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1674">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2162" name="/nncf_module/bert/encoder/layer.11/attention/self/query/MatMul" type="MatMul" version="opset1">
+		<layer id="1605" name="/nncf_module/bert/encoder/layer.11/attention/self/query/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29752,7 +21529,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2163" name="/nncf_module/bert/encoder/layer.11/attention/self/query/Add" type="Add" version="opset1">
+		<layer id="1606" name="/nncf_module/bert/encoder/layer.11/attention/self/query/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29772,52 +21549,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2164" name="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="174568120" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2165" name="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="174568124" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2166" name="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/query/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2167" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_4" type="ShapeOf" version="opset3">
+		<layer id="1607" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_4" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29832,19 +21564,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2168" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_8" type="Const" version="opset1">
+		<layer id="1608" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_8" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_8_output_0" />
 			</output>
 		</layer>
-		<layer id="2169" name="Constant_120886" type="Const" version="opset1">
+		<layer id="1609" name="Constant_40621" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2170" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_4" type="Gather" version="opset8">
+		<layer id="1610" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_4" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29857,7 +21589,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_4_output_0" />
 			</output>
 		</layer>
-		<layer id="2171" name="Constant_120892" type="Const" version="opset1">
+		<layer id="1611" name="Constant_40627" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29865,7 +21597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2172" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="1612" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_4" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -29878,7 +21610,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2173" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_5" type="ShapeOf" version="opset3">
+		<layer id="1613" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_5" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29893,19 +21625,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2174" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_9" type="Const" version="opset1">
+		<layer id="1614" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_9" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_9_output_0" />
 			</output>
 		</layer>
-		<layer id="2175" name="Constant_120890" type="Const" version="opset1">
+		<layer id="1615" name="Constant_40625" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2176" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_5" type="Gather" version="opset8">
+		<layer id="1616" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_5" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29918,7 +21650,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_5_output_0" />
 			</output>
 		</layer>
-		<layer id="2177" name="Constant_120894" type="Const" version="opset1">
+		<layer id="1617" name="Constant_40629" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -29926,7 +21658,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2178" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
+		<layer id="1618" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -29939,23 +21671,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2179" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_10" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1619" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_10_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2180" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_11" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1620" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2181" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat_2" type="Concat" version="opset1">
+		<layer id="1621" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat_2" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -29977,7 +21709,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2182" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape_2" type="Reshape" version="opset1">
+		<layer id="1622" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -29998,15 +21730,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2183" name="Constant_121018" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1623" name="Constant_40753" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2184" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1624" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30027,121 +21759,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2185" name="nncf_module.bert.encoder.layer.11.attention.self.key.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="174568128" size="3072" />
+		<layer id="1625" name="nncf_module.bert.encoder.layer.11.attention.self.key.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="409600148" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.11.attention.self.key.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2186" name="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2187" name="/nncf_module/bert/encoder/layer.11/attention/self/key/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="174571200" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2188" name="Convert_148833" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2189" name="Constant_148770" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="175161024" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2190" name="/nncf_module/bert/encoder/layer.11/attention/self/key/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/key/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2191" name="Constant_120598" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2192" name="/nncf_module/bert/encoder/layer.11/attention/self/key/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1626" name="onnx::MatMul_1675" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="409603220" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/key/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1675">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2193" name="/nncf_module/bert/encoder/layer.11/attention/self/key/MatMul" type="MatMul" version="opset1">
+		<layer id="1627" name="/nncf_module/bert/encoder/layer.11/attention/self/key/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30162,7 +21797,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2194" name="/nncf_module/bert/encoder/layer.11/attention/self/key/Add" type="Add" version="opset1">
+		<layer id="1628" name="/nncf_module/bert/encoder/layer.11/attention/self/key/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30182,52 +21817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2195" name="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="175164096" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2196" name="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="175164100" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2197" name="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/key/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2198" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape" type="ShapeOf" version="opset3">
+		<layer id="1629" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30242,19 +21832,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2199" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant" type="Const" version="opset1">
+		<layer id="1630" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2200" name="Constant_120607" type="Const" version="opset1">
+		<layer id="1631" name="Constant_40349" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2201" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather" type="Gather" version="opset8">
+		<layer id="1632" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30267,7 +21857,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_output_0" />
 			</output>
 		</layer>
-		<layer id="2202" name="Constant_120613" type="Const" version="opset1">
+		<layer id="1633" name="Constant_40355" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30275,7 +21865,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2203" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="1634" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30288,7 +21878,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2204" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_1" type="ShapeOf" version="opset3">
+		<layer id="1635" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_1" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30303,19 +21893,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2205" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_1" type="Const" version="opset1">
+		<layer id="1636" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_1" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2206" name="Constant_120611" type="Const" version="opset1">
+		<layer id="1637" name="Constant_40353" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2207" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_1" type="Gather" version="opset8">
+		<layer id="1638" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_1" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30328,7 +21918,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2208" name="Constant_120615" type="Const" version="opset1">
+		<layer id="1639" name="Constant_40357" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30336,7 +21926,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2209" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1640" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30349,23 +21939,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2210" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1641" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2211" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_3" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1642" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_3_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2212" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat" type="Concat" version="opset1">
+		<layer id="1643" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30387,7 +21977,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2213" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape" type="Reshape" version="opset1">
+		<layer id="1644" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30408,15 +21998,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2214" name="Constant_121020" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96799864" size="32" />
+		<layer id="1645" name="Constant_40755" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="100332624" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2215" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1646" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30437,7 +22027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2216" name="/nncf_module/bert/encoder/layer.11/attention/self/MatMul" type="MatMul" version="opset1">
+		<layer id="1647" name="/nncf_module/bert/encoder/layer.11/attention/self/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30462,13 +22052,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2217" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_12" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799896" size="4" />
+		<layer id="1648" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_12" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332656" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_12_output_0" />
 			</output>
 		</layer>
-		<layer id="2218" name="/nncf_module/bert/encoder/layer.11/attention/self/Div" type="Divide" version="opset1">
+		<layer id="1649" name="/nncf_module/bert/encoder/layer.11/attention/self/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30488,7 +22078,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2219" name="/nncf_module/bert/encoder/layer.11/attention/self/Add" type="Add" version="opset1">
+		<layer id="1650" name="/nncf_module/bert/encoder/layer.11/attention/self/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30513,7 +22103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2220" name="/nncf_module/bert/encoder/layer.11/attention/self/Softmax" type="SoftMax" version="opset8">
+		<layer id="1651" name="/nncf_module/bert/encoder/layer.11/attention/self/Softmax" type="SoftMax" version="opset8">
 			<data axis="3" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30532,121 +22122,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2221" name="nncf_module.bert.encoder.layer.11.attention.self.value.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="175164104" size="3072" />
+		<layer id="1652" name="nncf_module.bert.encoder.layer.11.attention.self.value.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="411962516" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.11.attention.self.value.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2222" name="/nncf_module/bert/encoder/layer.11/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/value/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2223" name="/nncf_module/bert/encoder/layer.11/attention/self/value/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="175167176" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2224" name="Convert_148954" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2225" name="Constant_148891" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="175757000" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2226" name="/nncf_module/bert/encoder/layer.11/attention/self/value/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/value/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2227" name="Constant_120744" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2228" name="/nncf_module/bert/encoder/layer.11/attention/self/value/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1653" name="onnx::MatMul_1678" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="411965588" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/value/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1678">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2229" name="/nncf_module/bert/encoder/layer.11/attention/self/value/MatMul" type="MatMul" version="opset1">
+		<layer id="1654" name="/nncf_module/bert/encoder/layer.11/attention/self/value/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30667,7 +22160,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2230" name="/nncf_module/bert/encoder/layer.11/attention/self/value/Add" type="Add" version="opset1">
+		<layer id="1655" name="/nncf_module/bert/encoder/layer.11/attention/self/value/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30687,7 +22180,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2231" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_2" type="ShapeOf" version="opset3">
+		<layer id="1656" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_2" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30702,19 +22195,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2232" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_4" type="Const" version="opset1">
+		<layer id="1657" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_4" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_4_output_0" />
 			</output>
 		</layer>
-		<layer id="2233" name="Constant_120750" type="Const" version="opset1">
+		<layer id="1658" name="Constant_40485" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2234" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_2" type="Gather" version="opset8">
+		<layer id="1659" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_2" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30727,7 +22220,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_2_output_0" />
 			</output>
 		</layer>
-		<layer id="2235" name="Constant_120756" type="Const" version="opset1">
+		<layer id="1660" name="Constant_40491" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30735,7 +22228,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2236" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
+		<layer id="1661" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30748,7 +22241,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2237" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_3" type="ShapeOf" version="opset3">
+		<layer id="1662" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_3" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30763,19 +22256,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2238" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_5" type="Const" version="opset1">
+		<layer id="1663" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_5" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_5_output_0" />
 			</output>
 		</layer>
-		<layer id="2239" name="Constant_120754" type="Const" version="opset1">
+		<layer id="1664" name="Constant_40489" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2240" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_3" type="Gather" version="opset8">
+		<layer id="1665" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_3" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30788,7 +22281,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_3_output_0" />
 			</output>
 		</layer>
-		<layer id="2241" name="Constant_120758" type="Const" version="opset1">
+		<layer id="1666" name="Constant_40493" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -30796,7 +22289,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2242" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
+		<layer id="1667" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_3" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -30809,23 +22302,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2243" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203840" size="8" />
+		<layer id="1668" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970208" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_6_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2244" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="96203848" size="8" />
+		<layer id="1669" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="97970216" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_7_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2245" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat_1" type="Concat" version="opset1">
+		<layer id="1670" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -30847,7 +22340,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2246" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1671" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30868,15 +22361,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2247" name="Constant_120882" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1672" name="Constant_40617" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2248" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose" type="Transpose" version="opset1">
+		<layer id="1673" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30889,32 +22382,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_output_0">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2249" name="/nncf_module/bert/encoder/layer.11/attention/self/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>12</dim>
-					<dim>-1</dim>
-					<dim>64</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/MatMul_1_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_output_0">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -30922,46 +22390,24 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2250" name="/nncf_module/bert/encoder/layer.11/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="175760072" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2251" name="/nncf_module/bert/encoder/layer.11/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="175760076" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2252" name="/nncf_module/bert/encoder/layer.11/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1674" name="/nncf_module/bert/encoder/layer.11/attention/self/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
-					<dim>64</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1|OUTPUT/FakeQuantize_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/self/MatMul_1_output_0">
 					<dim>-1</dim>
 					<dim>12</dim>
 					<dim>-1</dim>
@@ -30969,15 +22415,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2253" name="Constant_121031" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="96203856" size="32" />
+		<layer id="1675" name="Constant_40763" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="97970224" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2254" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1676" name="/nncf_module/bert/encoder/layer.11/attention/self/Transpose_3" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -30998,7 +22444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2255" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_6" type="ShapeOf" version="opset3">
+		<layer id="1677" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_6" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31014,19 +22460,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2256" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_13" type="Const" version="opset1">
+		<layer id="1678" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_13" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_13_output_0" />
 			</output>
 		</layer>
-		<layer id="2257" name="Constant_121035" type="Const" version="opset1">
+		<layer id="1679" name="Constant_40767" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2258" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_6" type="Gather" version="opset8">
+		<layer id="1680" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_6" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -31039,7 +22485,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_6_output_0" />
 			</output>
 		</layer>
-		<layer id="2259" name="Constant_121041" type="Const" version="opset1">
+		<layer id="1681" name="Constant_40773" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -31047,7 +22493,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2260" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
+		<layer id="1682" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_6" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -31060,7 +22506,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2261" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_7" type="ShapeOf" version="opset3">
+		<layer id="1683" name="/nncf_module/bert/encoder/layer.11/attention/self/Shape_7" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31076,19 +22522,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2262" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_14" type="Const" version="opset1">
+		<layer id="1684" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_14" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_14_output_0" />
 			</output>
 		</layer>
-		<layer id="2263" name="Constant_121039" type="Const" version="opset1">
+		<layer id="1685" name="Constant_40771" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2264" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_7" type="Gather" version="opset8">
+		<layer id="1686" name="/nncf_module/bert/encoder/layer.11/attention/self/Gather_7" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -31101,7 +22547,7 @@
 				<port id="3" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Gather_7_output_0" />
 			</output>
 		</layer>
-		<layer id="2265" name="Constant_121043" type="Const" version="opset1">
+		<layer id="1687" name="Constant_40775" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -31109,7 +22555,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2266" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
+		<layer id="1688" name="/nncf_module/bert/encoder/layer.11/attention/self/Unsqueeze_7" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
@@ -31122,15 +22568,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2267" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_15" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="97395892" size="8" />
+		<layer id="1689" name="/nncf_module/bert/encoder/layer.11/attention/self/Constant_15" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="102695044" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/encoder/layer.11/attention/self/Constant_15_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2268" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat_3" type="Concat" version="opset1">
+		<layer id="1690" name="/nncf_module/bert/encoder/layer.11/attention/self/Concat_3" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -31149,7 +22595,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2269" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape_3" type="Reshape" version="opset1">
+		<layer id="1691" name="/nncf_module/bert/encoder/layer.11/attention/self/Reshape_3" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31170,84 +22616,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2270" name="/nncf_module/bert/encoder/layer.11/attention/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="175760080" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2271" name="Convert_149075" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2272" name="Constant_149012" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="176349904" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2273" name="/nncf_module/bert/encoder/layer.11/attention/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2274" name="Constant_121164" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2275" name="/nncf_module/bert/encoder/layer.11/attention/output/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1692" name="onnx::MatMul_1684" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="414324884" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/output/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1684">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2276" name="/nncf_module/bert/encoder/layer.11/attention/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1693" name="/nncf_module/bert/encoder/layer.11/attention/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31268,7 +22646,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2277" name="/nncf_module/bert/encoder/layer.11/attention/output/dense/Add" type="Add" version="opset1">
+		<layer id="1694" name="/nncf_module/bert/encoder/layer.11/attention/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31288,7 +22666,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2278" name="/nncf_module/bert/encoder/layer.11/attention/output/Add" type="Add" version="opset1">
+		<layer id="1695" name="/nncf_module/bert/encoder/layer.11/attention/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31310,7 +22688,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2279" name="Constant_121169" type="Const" version="opset1">
+		<layer id="1696" name="Constant_40895" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -31318,7 +22696,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2280" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1697" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31338,7 +22716,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2281" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1698" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31360,13 +22738,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2282" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1699" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2283" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1700" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31384,7 +22762,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2284" name="Constant_121174" type="Const" version="opset1">
+		<layer id="1701" name="Constant_40900" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -31392,7 +22770,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2285" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1702" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31412,13 +22790,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2286" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1703" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2287" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1704" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31436,7 +22814,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2288" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1705" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31452,7 +22830,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2289" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1706" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31474,15 +22852,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2290" name="nncf_module.bert.encoder.layer.11.attention.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="176352976" size="3072" />
+		<layer id="1707" name="nncf_module.bert.encoder.layer.11.attention.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="416684180" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.11.attention.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2291" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1708" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31502,15 +22880,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2292" name="nncf_module.bert.encoder.layer.11.attention.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="176356048" size="3072" />
+		<layer id="1709" name="nncf_module.bert.encoder.layer.11.attention.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="416687252" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.11.attention.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2293" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1710" name="/nncf_module/bert/encoder/layer.11/attention/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31530,129 +22908,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2294" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="176359120" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2295" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="176359124" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2296" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/dense/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0|INPUT0/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2297" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="3072, 768" offset="176359128" size="2359296" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2298" name="Convert_149196" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2299" name="Constant_149133" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 1" offset="178718424" size="12288" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2300" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>3072</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2301" name="Constant_121189" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2302" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/Transpose" type="Transpose" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
-			</input>
+		<layer id="1711" name="onnx::MatMul_1685" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 3072" offset="416690324" size="9437184" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/dense/Transpose_output_0">
+				<port id="0" precision="FP32" names="onnx::MatMul_1685">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2303" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1712" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31673,7 +22938,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2304" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/Add" type="Add" version="opset1">
+		<layer id="1713" name="/nncf_module/bert/encoder/layer.11/intermediate/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31693,100 +22958,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2305" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366532" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_output_0" />
-			</output>
-		</layer>
-		<layer id="2306" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Div_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2307" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Erf_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2308" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_1_output_0" />
-			</output>
-		</layer>
-		<layer id="2309" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Add_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2310" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>3072</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2311" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="100366536" size="4" />
+		<layer id="1714" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497676" size="4" />
 			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_2_output_0" />
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2312" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1715" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Div" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31796,136 +22975,109 @@
 				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Div_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2313" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="178730712" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2314" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="178730716" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2315" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
+		<layer id="1716" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Erf" type="Erf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0|OUTPUT/FakeQuantize_output_0">
+				<port id="1" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Erf_output_0">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2316" name="/nncf_module/bert/encoder/layer.11/output/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 3072" offset="178730720" size="2359296" />
+		<layer id="1717" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_1" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>3072</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2317" name="Convert_149317" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="1718" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Add_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2318" name="Constant_149254" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="181090016" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2319" name="/nncf_module/bert/encoder/layer.11/output/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
+		<layer id="1719" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/output/dense/pre_ops.0/op/FakeQuantize_output_0">
-					<dim>768</dim>
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2320" name="Constant_121208" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="96203816" size="16" />
+		<layer id="1720" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="114497680" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
+				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Constant_2_output_0" />
 			</output>
 		</layer>
-		<layer id="2321" name="/nncf_module/bert/encoder/layer.11/output/dense/Transpose" type="Transpose" version="opset1">
+		<layer id="1721" name="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>2</dim>
-				</port>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/output/dense/Transpose_output_0">
+				<port id="2" precision="FP32" names="/nncf_module/bert/encoder/layer.11/intermediate/intermediate_act_fn/Mul_1_output_0">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1722" name="onnx::MatMul_1686" type="Const" version="opset1">
+			<data element_type="f32" shape="3072, 768" offset="426127508" size="9437184" />
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_1686">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2322" name="/nncf_module/bert/encoder/layer.11/output/dense/MatMul" type="MatMul" version="opset1">
+		<layer id="1723" name="/nncf_module/bert/encoder/layer.11/output/dense/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31946,7 +23098,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2323" name="/nncf_module/bert/encoder/layer.11/output/dense/Add" type="Add" version="opset1">
+		<layer id="1724" name="/nncf_module/bert/encoder/layer.11/output/dense/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31966,7 +23118,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2324" name="/nncf_module/bert/encoder/layer.11/output/Add" type="Add" version="opset1">
+		<layer id="1725" name="/nncf_module/bert/encoder/layer.11/output/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -31988,7 +23140,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2325" name="Constant_121213" type="Const" version="opset1">
+		<layer id="1726" name="Constant_40921" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -31996,7 +23148,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2326" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
+		<layer id="1727" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/ReduceMean" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32016,7 +23168,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2327" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Sub" type="Subtract" version="opset1">
+		<layer id="1728" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Sub" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32038,13 +23190,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2328" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Constant" type="Const" version="opset1">
+		<layer id="1729" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Constant" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604760" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2329" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Pow" type="Power" version="opset1">
+		<layer id="1730" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Pow" type="Power" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32062,7 +23214,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2330" name="Constant_121218" type="Const" version="opset1">
+		<layer id="1731" name="Constant_40926" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="95604752" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -32070,7 +23222,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2331" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
+		<layer id="1732" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/ReduceMean_1" type="ReduceMean" version="opset1">
 			<data keep_dims="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32090,13 +23242,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2332" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Constant_1" type="Const" version="opset1">
+		<layer id="1733" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Constant_1" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="95604764" size="4" />
 			<output>
 				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Constant_1_output_0" />
 			</output>
 		</layer>
-		<layer id="2333" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Add" type="Add" version="opset1">
+		<layer id="1734" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32114,7 +23266,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2334" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
+		<layer id="1735" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Sqrt" type="Sqrt" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32130,7 +23282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2335" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Div" type="Divide" version="opset1">
+		<layer id="1736" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Div" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32152,15 +23304,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2336" name="nncf_module.bert.encoder.layer.11.output.LayerNorm.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="181093088" size="3072" />
+		<layer id="1737" name="nncf_module.bert.encoder.layer.11.output.LayerNorm.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="435564692" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.11.output.LayerNorm.weight">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2337" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Mul" type="Multiply" version="opset1">
+		<layer id="1738" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Mul" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32180,15 +23332,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2338" name="nncf_module.bert.encoder.layer.11.output.LayerNorm.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="181096160" size="3072" />
+		<layer id="1739" name="nncf_module.bert.encoder.layer.11.output.LayerNorm.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="435567764" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.encoder.layer.11.output.LayerNorm.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2339" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Add_1" type="Add" version="opset1">
+		<layer id="1740" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32208,64 +23360,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2340" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="181099232" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/output/LayerNorm/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2341" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="181099236" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/encoder/layer.11/output/LayerNorm/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2342" name="/nncf_module/bert/encoder/layer.11/output/LayerNorm/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/encoder/layer.11/output/LayerNorm/BertForSequenceClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2343" name="/nncf_module/bert/Constant" type="Const" version="opset1">
+		<layer id="1741" name="/nncf_module/bert/Constant" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="94021632" size="8" />
 			<output>
 				<port id="0" precision="I64" names="/nncf_module/bert/Constant_output_0" />
 			</output>
 		</layer>
-		<layer id="2344" name="Constant_121229" type="Const" version="opset1">
+		<layer id="1742" name="Constant_40934" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="95604744" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2345" name="/nncf_module/bert/pooler/Gather" type="Gather" version="opset8">
+		<layer id="1743" name="/nncf_module/bert/pooler/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32283,59 +23390,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2346" name="/nncf_module/bert/pooler/dense/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="768, 768" offset="181099240" size="589824" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2347" name="Convert_149438" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2348" name="Constant_149375" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 1" offset="181689064" size="3072" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2349" name="/nncf_module/bert/pooler/dense/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>768</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>768</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1744" name="nncf_module.bert.pooler.dense.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="768, 768" offset="435570836" size="2359296" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/bert/pooler/dense/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="0" precision="FP32" names="nncf_module.bert.pooler.dense.weight">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2350" name="/nncf_module/bert/pooler/dense/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1745" name="/nncf_module/bert/pooler/dense/Gemm/WithoutBiases" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32354,13 +23418,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2351" name="Constant_121235" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1746" name="Constant_40936" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2352" name="Multiply_121238" type="Multiply" version="opset1">
+		<layer id="1747" name="Multiply_40939" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32376,21 +23440,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2353" name="Constant_121236" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1748" name="Constant_40937" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2354" name="nncf_module.bert.pooler.dense.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="768" offset="181692136" size="3072" />
+		<layer id="1749" name="nncf_module.bert.pooler.dense.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="768" offset="437930132" size="3072" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.bert.pooler.dense.bias">
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2355" name="Multiply_121239" type="Multiply" version="opset1">
+		<layer id="1750" name="Multiply_40940" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -32404,7 +23468,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2356" name="/nncf_module/bert/pooler/dense/Gemm" type="Add" version="opset1">
+		<layer id="1751" name="/nncf_module/bert/pooler/dense/Gemm" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32422,50 +23486,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2357" name="/nncf_module/bert/pooler/dense/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/NNCFLinear[dense]/linear_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="181695208" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/pooler/dense/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/NNCFLinear[dense]/linear_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2358" name="/nncf_module/bert/pooler/dense/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/NNCFLinear[dense]/linear_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="181695212" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/pooler/dense/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/NNCFLinear[dense]/linear_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2359" name="/nncf_module/bert/pooler/dense/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/NNCFLinear[dense]/linear_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/pooler/dense/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/NNCFLinear[dense]/linear_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2360" name="/nncf_module/bert/pooler/activation/Tanh" type="Tanh" version="opset1">
+		<layer id="1752" name="/nncf_module/bert/pooler/activation/Tanh" type="Tanh" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32479,102 +23500,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2361" name="/nncf_module/bert/pooler/activation/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/Tanh[activation]/tanh_0|OUTPUT/Constant" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="181695216" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/pooler/activation/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/Tanh[activation]/tanh_0|OUTPUT/Constant_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2362" name="/nncf_module/bert/pooler/activation/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/Tanh[activation]/tanh_0|OUTPUT/Constant_1" type="Const" version="opset1">
-			<data element_type="f32" shape="1" offset="181695220" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="/nncf_module/bert/pooler/activation/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/Tanh[activation]/tanh_0|OUTPUT/Constant_1_output_0">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2363" name="/nncf_module/bert/pooler/activation/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/Tanh[activation]/tanh_0|OUTPUT/FakeQuantize" type="FakeQuantize" version="opset1">
-			<data levels="256" auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="4" precision="FP32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="5" precision="FP32" names="/nncf_module/bert/pooler/activation/BertForSequenceClassification/BertModel[bert]/BertPooler[pooler]/Tanh[activation]/tanh_0|OUTPUT/FakeQuantize_output_0">
-					<dim>-1</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2364" name="/nncf_module/classifier/pre_ops.0/op/Constant" type="Const" version="opset1">
-			<data element_type="i8" shape="2, 768" offset="181695224" size="1536" />
-			<output>
-				<port id="0" precision="I8">
-					<dim>2</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2365" name="Convert_149607" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I8">
-					<dim>2</dim>
-					<dim>768</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>2</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2366" name="Constant_149514" type="Const" version="opset1">
-			<data element_type="f32" shape="2, 1" offset="181696760" size="8" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>2</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2367" name="/nncf_module/classifier/pre_ops.0/op/FakeQuantize" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>2</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>2</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1753" name="nncf_module.classifier.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2, 768" offset="437933204" size="6144" />
 			<output>
-				<port id="2" precision="FP32" names="/nncf_module/classifier/pre_ops.0/op/FakeQuantize_output_0">
+				<port id="0" precision="FP32" names="nncf_module.classifier.weight">
 					<dim>2</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2368" name="/nncf_module/classifier/Gemm/WithoutBiases" type="MatMul" version="opset1">
+		<layer id="1754" name="/nncf_module/classifier/Gemm/WithoutBiases" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32593,13 +23528,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2369" name="Constant_121252" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1755" name="Constant_40943" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2370" name="Multiply_121255" type="Multiply" version="opset1">
+		<layer id="1756" name="Multiply_40946" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32615,21 +23550,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2371" name="Constant_121253" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="96799900" size="4" />
+		<layer id="1757" name="Constant_40944" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100332660" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="2372" name="nncf_module.classifier.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="2" offset="181696768" size="8" />
+		<layer id="1758" name="nncf_module.classifier.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="2" offset="437939348" size="8" />
 			<output>
 				<port id="0" precision="FP32" names="nncf_module.classifier.bias">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2373" name="Multiply_121256" type="Multiply" version="opset1">
+		<layer id="1759" name="Multiply_40947" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -32643,7 +23578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2374" name="logits" type="Add" version="opset1">
+		<layer id="1760" name="logits" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32661,7 +23596,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2375" name="logits/sink_port_0" type="Result" version="opset1">
+		<layer id="1761" name="logits/sink_port_0" type="Result" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32672,57 +23607,57 @@
 	</layers>
 	<edges>
 		<edge from-layer="0" from-port="0" to-layer="56" to-port="1" />
-		<edge from-layer="1" from-port="0" to-layer="156" to-port="0" />
+		<edge from-layer="1" from-port="0" to-layer="136" to-port="0" />
 		<edge from-layer="2" from-port="0" to-layer="53" to-port="1" />
 		<edge from-layer="2" from-port="0" to-layer="61" to-port="0" />
-		<edge from-layer="3" from-port="0" to-layer="2323" to-port="0" />
-		<edge from-layer="4" from-port="0" to-layer="2304" to-port="0" />
-		<edge from-layer="5" from-port="0" to-layer="2277" to-port="0" />
-		<edge from-layer="6" from-port="0" to-layer="2163" to-port="0" />
-		<edge from-layer="7" from-port="0" to-layer="2136" to-port="0" />
-		<edge from-layer="8" from-port="0" to-layer="2118" to-port="0" />
-		<edge from-layer="9" from-port="0" to-layer="2091" to-port="0" />
-		<edge from-layer="10" from-port="0" to-layer="1977" to-port="0" />
-		<edge from-layer="11" from-port="0" to-layer="1950" to-port="0" />
-		<edge from-layer="12" from-port="0" to-layer="1931" to-port="0" />
-		<edge from-layer="13" from-port="0" to-layer="1904" to-port="0" />
-		<edge from-layer="14" from-port="0" to-layer="1790" to-port="0" />
-		<edge from-layer="15" from-port="0" to-layer="1763" to-port="0" />
-		<edge from-layer="16" from-port="0" to-layer="1744" to-port="0" />
-		<edge from-layer="17" from-port="0" to-layer="1717" to-port="0" />
-		<edge from-layer="18" from-port="0" to-layer="1603" to-port="0" />
-		<edge from-layer="19" from-port="0" to-layer="1576" to-port="0" />
-		<edge from-layer="20" from-port="0" to-layer="1557" to-port="0" />
-		<edge from-layer="21" from-port="0" to-layer="1530" to-port="0" />
-		<edge from-layer="22" from-port="0" to-layer="1416" to-port="0" />
-		<edge from-layer="23" from-port="0" to-layer="1389" to-port="0" />
-		<edge from-layer="24" from-port="0" to-layer="1370" to-port="0" />
-		<edge from-layer="25" from-port="0" to-layer="1343" to-port="0" />
-		<edge from-layer="26" from-port="0" to-layer="1229" to-port="0" />
-		<edge from-layer="27" from-port="0" to-layer="1202" to-port="0" />
-		<edge from-layer="28" from-port="0" to-layer="1183" to-port="0" />
-		<edge from-layer="29" from-port="0" to-layer="1156" to-port="0" />
-		<edge from-layer="30" from-port="0" to-layer="1042" to-port="0" />
-		<edge from-layer="31" from-port="0" to-layer="1015" to-port="0" />
-		<edge from-layer="32" from-port="0" to-layer="996" to-port="0" />
-		<edge from-layer="33" from-port="0" to-layer="969" to-port="0" />
-		<edge from-layer="34" from-port="0" to-layer="855" to-port="0" />
-		<edge from-layer="35" from-port="0" to-layer="828" to-port="0" />
-		<edge from-layer="36" from-port="0" to-layer="809" to-port="0" />
-		<edge from-layer="37" from-port="0" to-layer="782" to-port="0" />
-		<edge from-layer="38" from-port="0" to-layer="668" to-port="0" />
-		<edge from-layer="39" from-port="0" to-layer="641" to-port="0" />
-		<edge from-layer="40" from-port="0" to-layer="622" to-port="0" />
-		<edge from-layer="41" from-port="0" to-layer="595" to-port="0" />
-		<edge from-layer="42" from-port="0" to-layer="481" to-port="0" />
-		<edge from-layer="43" from-port="0" to-layer="454" to-port="0" />
-		<edge from-layer="44" from-port="0" to-layer="435" to-port="0" />
-		<edge from-layer="45" from-port="0" to-layer="408" to-port="0" />
-		<edge from-layer="46" from-port="0" to-layer="294" to-port="0" />
-		<edge from-layer="47" from-port="0" to-layer="267" to-port="0" />
-		<edge from-layer="48" from-port="0" to-layer="248" to-port="0" />
-		<edge from-layer="49" from-port="0" to-layer="221" to-port="0" />
-		<edge from-layer="50" from-port="0" to-layer="98" to-port="0" />
+		<edge from-layer="3" from-port="0" to-layer="1724" to-port="0" />
+		<edge from-layer="4" from-port="0" to-layer="1713" to-port="0" />
+		<edge from-layer="5" from-port="0" to-layer="1694" to-port="0" />
+		<edge from-layer="6" from-port="0" to-layer="1606" to-port="0" />
+		<edge from-layer="7" from-port="0" to-layer="1587" to-port="0" />
+		<edge from-layer="8" from-port="0" to-layer="1576" to-port="0" />
+		<edge from-layer="9" from-port="0" to-layer="1557" to-port="0" />
+		<edge from-layer="10" from-port="0" to-layer="1469" to-port="0" />
+		<edge from-layer="11" from-port="0" to-layer="1450" to-port="0" />
+		<edge from-layer="12" from-port="0" to-layer="1439" to-port="0" />
+		<edge from-layer="13" from-port="0" to-layer="1420" to-port="0" />
+		<edge from-layer="14" from-port="0" to-layer="1332" to-port="0" />
+		<edge from-layer="15" from-port="0" to-layer="1313" to-port="0" />
+		<edge from-layer="16" from-port="0" to-layer="1302" to-port="0" />
+		<edge from-layer="17" from-port="0" to-layer="1283" to-port="0" />
+		<edge from-layer="18" from-port="0" to-layer="1195" to-port="0" />
+		<edge from-layer="19" from-port="0" to-layer="1176" to-port="0" />
+		<edge from-layer="20" from-port="0" to-layer="1165" to-port="0" />
+		<edge from-layer="21" from-port="0" to-layer="1146" to-port="0" />
+		<edge from-layer="22" from-port="0" to-layer="1058" to-port="0" />
+		<edge from-layer="23" from-port="0" to-layer="1039" to-port="0" />
+		<edge from-layer="24" from-port="0" to-layer="1028" to-port="0" />
+		<edge from-layer="25" from-port="0" to-layer="1009" to-port="0" />
+		<edge from-layer="26" from-port="0" to-layer="921" to-port="0" />
+		<edge from-layer="27" from-port="0" to-layer="902" to-port="0" />
+		<edge from-layer="28" from-port="0" to-layer="891" to-port="0" />
+		<edge from-layer="29" from-port="0" to-layer="872" to-port="0" />
+		<edge from-layer="30" from-port="0" to-layer="784" to-port="0" />
+		<edge from-layer="31" from-port="0" to-layer="765" to-port="0" />
+		<edge from-layer="32" from-port="0" to-layer="754" to-port="0" />
+		<edge from-layer="33" from-port="0" to-layer="735" to-port="0" />
+		<edge from-layer="34" from-port="0" to-layer="647" to-port="0" />
+		<edge from-layer="35" from-port="0" to-layer="628" to-port="0" />
+		<edge from-layer="36" from-port="0" to-layer="617" to-port="0" />
+		<edge from-layer="37" from-port="0" to-layer="598" to-port="0" />
+		<edge from-layer="38" from-port="0" to-layer="510" to-port="0" />
+		<edge from-layer="39" from-port="0" to-layer="491" to-port="0" />
+		<edge from-layer="40" from-port="0" to-layer="480" to-port="0" />
+		<edge from-layer="41" from-port="0" to-layer="461" to-port="0" />
+		<edge from-layer="42" from-port="0" to-layer="373" to-port="0" />
+		<edge from-layer="43" from-port="0" to-layer="354" to-port="0" />
+		<edge from-layer="44" from-port="0" to-layer="343" to-port="0" />
+		<edge from-layer="45" from-port="0" to-layer="324" to-port="0" />
+		<edge from-layer="46" from-port="0" to-layer="236" to-port="0" />
+		<edge from-layer="47" from-port="0" to-layer="217" to-port="0" />
+		<edge from-layer="48" from-port="0" to-layer="206" to-port="0" />
+		<edge from-layer="49" from-port="0" to-layer="187" to-port="0" />
+		<edge from-layer="50" from-port="0" to-layer="90" to-port="0" />
 		<edge from-layer="51" from-port="0" to-layer="53" to-port="0" />
 		<edge from-layer="52" from-port="0" to-layer="53" to-port="2" />
 		<edge from-layer="53" from-port="3" to-layer="57" to-port="0" />
@@ -32744,8 +23679,8 @@
 		<edge from-layer="69" from-port="5" to-layer="71" to-port="1" />
 		<edge from-layer="70" from-port="0" to-layer="71" to-port="2" />
 		<edge from-layer="71" from-port="3" to-layer="72" to-port="1" />
-		<edge from-layer="72" from-port="2" to-layer="75" to-port="0" />
 		<edge from-layer="72" from-port="2" to-layer="74" to-port="0" />
+		<edge from-layer="72" from-port="2" to-layer="75" to-port="0" />
 		<edge from-layer="73" from-port="0" to-layer="74" to-port="1" />
 		<edge from-layer="74" from-port="2" to-layer="75" to-port="1" />
 		<edge from-layer="75" from-port="2" to-layer="83" to-port="0" />
@@ -32761,1852 +23696,1729 @@
 		<edge from-layer="84" from-port="0" to-layer="85" to-port="1" />
 		<edge from-layer="85" from-port="2" to-layer="87" to-port="0" />
 		<edge from-layer="86" from-port="0" to-layer="87" to-port="1" />
-		<edge from-layer="87" from-port="2" to-layer="90" to-port="0" />
-		<edge from-layer="87" from-port="2" to-layer="222" to-port="1" />
-		<edge from-layer="87" from-port="2" to-layer="121" to-port="0" />
-		<edge from-layer="87" from-port="2" to-layer="166" to-port="0" />
-		<edge from-layer="88" from-port="0" to-layer="121" to-port="3" />
-		<edge from-layer="88" from-port="0" to-layer="90" to-port="1" />
-		<edge from-layer="88" from-port="0" to-layer="90" to-port="3" />
-		<edge from-layer="88" from-port="0" to-layer="121" to-port="1" />
-		<edge from-layer="88" from-port="0" to-layer="166" to-port="3" />
-		<edge from-layer="88" from-port="0" to-layer="166" to-port="1" />
-		<edge from-layer="89" from-port="0" to-layer="121" to-port="2" />
-		<edge from-layer="89" from-port="0" to-layer="166" to-port="2" />
-		<edge from-layer="89" from-port="0" to-layer="166" to-port="4" />
-		<edge from-layer="89" from-port="0" to-layer="90" to-port="4" />
-		<edge from-layer="89" from-port="0" to-layer="90" to-port="2" />
-		<edge from-layer="89" from-port="0" to-layer="121" to-port="4" />
-		<edge from-layer="90" from-port="5" to-layer="97" to-port="0" />
-		<edge from-layer="91" from-port="0" to-layer="92" to-port="0" />
-		<edge from-layer="92" from-port="1" to-layer="94" to-port="0" />
-		<edge from-layer="93" from-port="0" to-layer="94" to-port="1" />
-		<edge from-layer="94" from-port="2" to-layer="96" to-port="0" />
+		<edge from-layer="87" from-port="2" to-layer="89" to-port="0" />
+		<edge from-layer="87" from-port="2" to-layer="147" to-port="0" />
+		<edge from-layer="87" from-port="2" to-layer="111" to-port="0" />
+		<edge from-layer="87" from-port="2" to-layer="188" to-port="1" />
+		<edge from-layer="88" from-port="0" to-layer="89" to-port="1" />
+		<edge from-layer="89" from-port="2" to-layer="90" to-port="1" />
+		<edge from-layer="90" from-port="2" to-layer="106" to-port="0" />
+		<edge from-layer="90" from-port="2" to-layer="97" to-port="0" />
+		<edge from-layer="90" from-port="2" to-layer="91" to-port="0" />
+		<edge from-layer="91" from-port="1" to-layer="94" to-port="0" />
+		<edge from-layer="92" from-port="0" to-layer="94" to-port="1" />
+		<edge from-layer="93" from-port="0" to-layer="94" to-port="2" />
+		<edge from-layer="94" from-port="3" to-layer="96" to-port="0" />
 		<edge from-layer="95" from-port="0" to-layer="96" to-port="1" />
-		<edge from-layer="96" from-port="2" to-layer="97" to-port="1" />
-		<edge from-layer="97" from-port="2" to-layer="98" to-port="1" />
-		<edge from-layer="98" from-port="2" to-layer="101" to-port="0" />
-		<edge from-layer="99" from-port="0" to-layer="101" to-port="1" />
-		<edge from-layer="99" from-port="0" to-layer="101" to-port="3" />
-		<edge from-layer="100" from-port="0" to-layer="101" to-port="2" />
-		<edge from-layer="100" from-port="0" to-layer="101" to-port="4" />
-		<edge from-layer="101" from-port="5" to-layer="117" to-port="0" />
-		<edge from-layer="101" from-port="5" to-layer="102" to-port="0" />
-		<edge from-layer="101" from-port="5" to-layer="108" to-port="0" />
-		<edge from-layer="102" from-port="1" to-layer="105" to-port="0" />
-		<edge from-layer="103" from-port="0" to-layer="105" to-port="1" />
-		<edge from-layer="104" from-port="0" to-layer="105" to-port="2" />
-		<edge from-layer="105" from-port="3" to-layer="107" to-port="0" />
-		<edge from-layer="106" from-port="0" to-layer="107" to-port="1" />
-		<edge from-layer="107" from-port="2" to-layer="116" to-port="0" />
-		<edge from-layer="108" from-port="1" to-layer="111" to-port="0" />
-		<edge from-layer="109" from-port="0" to-layer="111" to-port="1" />
-		<edge from-layer="110" from-port="0" to-layer="111" to-port="2" />
-		<edge from-layer="111" from-port="3" to-layer="113" to-port="0" />
-		<edge from-layer="112" from-port="0" to-layer="113" to-port="1" />
-		<edge from-layer="113" from-port="2" to-layer="116" to-port="1" />
-		<edge from-layer="114" from-port="0" to-layer="116" to-port="2" />
-		<edge from-layer="115" from-port="0" to-layer="116" to-port="3" />
-		<edge from-layer="116" from-port="4" to-layer="117" to-port="1" />
-		<edge from-layer="117" from-port="2" to-layer="119" to-port="0" />
-		<edge from-layer="118" from-port="0" to-layer="119" to-port="1" />
-		<edge from-layer="119" from-port="2" to-layer="151" to-port="0" />
-		<edge from-layer="120" from-port="0" to-layer="129" to-port="0" />
-		<edge from-layer="121" from-port="5" to-layer="128" to-port="0" />
-		<edge from-layer="122" from-port="0" to-layer="123" to-port="0" />
-		<edge from-layer="123" from-port="1" to-layer="125" to-port="0" />
-		<edge from-layer="124" from-port="0" to-layer="125" to-port="1" />
-		<edge from-layer="125" from-port="2" to-layer="127" to-port="0" />
-		<edge from-layer="126" from-port="0" to-layer="127" to-port="1" />
-		<edge from-layer="127" from-port="2" to-layer="128" to-port="1" />
-		<edge from-layer="128" from-port="2" to-layer="129" to-port="1" />
-		<edge from-layer="129" from-port="2" to-layer="132" to-port="0" />
-		<edge from-layer="130" from-port="0" to-layer="132" to-port="1" />
-		<edge from-layer="130" from-port="0" to-layer="132" to-port="3" />
-		<edge from-layer="131" from-port="0" to-layer="132" to-port="2" />
-		<edge from-layer="131" from-port="0" to-layer="132" to-port="4" />
-		<edge from-layer="132" from-port="5" to-layer="139" to-port="0" />
-		<edge from-layer="132" from-port="5" to-layer="148" to-port="0" />
-		<edge from-layer="132" from-port="5" to-layer="133" to-port="0" />
-		<edge from-layer="133" from-port="1" to-layer="136" to-port="0" />
-		<edge from-layer="134" from-port="0" to-layer="136" to-port="1" />
-		<edge from-layer="135" from-port="0" to-layer="136" to-port="2" />
-		<edge from-layer="136" from-port="3" to-layer="138" to-port="0" />
+		<edge from-layer="96" from-port="2" to-layer="105" to-port="0" />
+		<edge from-layer="97" from-port="1" to-layer="100" to-port="0" />
+		<edge from-layer="98" from-port="0" to-layer="100" to-port="1" />
+		<edge from-layer="99" from-port="0" to-layer="100" to-port="2" />
+		<edge from-layer="100" from-port="3" to-layer="102" to-port="0" />
+		<edge from-layer="101" from-port="0" to-layer="102" to-port="1" />
+		<edge from-layer="102" from-port="2" to-layer="105" to-port="1" />
+		<edge from-layer="103" from-port="0" to-layer="105" to-port="2" />
+		<edge from-layer="104" from-port="0" to-layer="105" to-port="3" />
+		<edge from-layer="105" from-port="4" to-layer="106" to-port="1" />
+		<edge from-layer="106" from-port="2" to-layer="108" to-port="0" />
+		<edge from-layer="107" from-port="0" to-layer="108" to-port="1" />
+		<edge from-layer="108" from-port="2" to-layer="131" to-port="0" />
+		<edge from-layer="109" from-port="0" to-layer="112" to-port="0" />
+		<edge from-layer="110" from-port="0" to-layer="111" to-port="1" />
+		<edge from-layer="111" from-port="2" to-layer="112" to-port="1" />
+		<edge from-layer="112" from-port="2" to-layer="119" to-port="0" />
+		<edge from-layer="112" from-port="2" to-layer="113" to-port="0" />
+		<edge from-layer="112" from-port="2" to-layer="128" to-port="0" />
+		<edge from-layer="113" from-port="1" to-layer="116" to-port="0" />
+		<edge from-layer="114" from-port="0" to-layer="116" to-port="1" />
+		<edge from-layer="115" from-port="0" to-layer="116" to-port="2" />
+		<edge from-layer="116" from-port="3" to-layer="118" to-port="0" />
+		<edge from-layer="117" from-port="0" to-layer="118" to-port="1" />
+		<edge from-layer="118" from-port="2" to-layer="127" to-port="0" />
+		<edge from-layer="119" from-port="1" to-layer="122" to-port="0" />
+		<edge from-layer="120" from-port="0" to-layer="122" to-port="1" />
+		<edge from-layer="121" from-port="0" to-layer="122" to-port="2" />
+		<edge from-layer="122" from-port="3" to-layer="124" to-port="0" />
+		<edge from-layer="123" from-port="0" to-layer="124" to-port="1" />
+		<edge from-layer="124" from-port="2" to-layer="127" to-port="1" />
+		<edge from-layer="125" from-port="0" to-layer="127" to-port="2" />
+		<edge from-layer="126" from-port="0" to-layer="127" to-port="3" />
+		<edge from-layer="127" from-port="4" to-layer="128" to-port="1" />
+		<edge from-layer="128" from-port="2" to-layer="130" to-port="0" />
+		<edge from-layer="129" from-port="0" to-layer="130" to-port="1" />
+		<edge from-layer="130" from-port="2" to-layer="131" to-port="1" />
+		<edge from-layer="131" from-port="2" to-layer="133" to-port="0" />
+		<edge from-layer="132" from-port="0" to-layer="133" to-port="1" />
+		<edge from-layer="133" from-port="2" to-layer="143" to-port="0" />
+		<edge from-layer="134" from-port="0" to-layer="140" to-port="0" />
+		<edge from-layer="135" from-port="0" to-layer="136" to-port="1" />
+		<edge from-layer="136" from-port="2" to-layer="138" to-port="0" />
 		<edge from-layer="137" from-port="0" to-layer="138" to-port="1" />
-		<edge from-layer="138" from-port="2" to-layer="147" to-port="0" />
-		<edge from-layer="139" from-port="1" to-layer="142" to-port="0" />
-		<edge from-layer="140" from-port="0" to-layer="142" to-port="1" />
-		<edge from-layer="141" from-port="0" to-layer="142" to-port="2" />
-		<edge from-layer="142" from-port="3" to-layer="144" to-port="0" />
-		<edge from-layer="143" from-port="0" to-layer="144" to-port="1" />
-		<edge from-layer="144" from-port="2" to-layer="147" to-port="1" />
-		<edge from-layer="145" from-port="0" to-layer="147" to-port="2" />
-		<edge from-layer="146" from-port="0" to-layer="147" to-port="3" />
-		<edge from-layer="147" from-port="4" to-layer="148" to-port="1" />
-		<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
-		<edge from-layer="149" from-port="0" to-layer="150" to-port="1" />
-		<edge from-layer="150" from-port="2" to-layer="151" to-port="1" />
-		<edge from-layer="151" from-port="2" to-layer="153" to-port="0" />
-		<edge from-layer="152" from-port="0" to-layer="153" to-port="1" />
-		<edge from-layer="153" from-port="2" to-layer="163" to-port="0" />
-		<edge from-layer="154" from-port="0" to-layer="160" to-port="0" />
-		<edge from-layer="155" from-port="0" to-layer="156" to-port="1" />
-		<edge from-layer="156" from-port="2" to-layer="158" to-port="0" />
-		<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
-		<edge from-layer="158" from-port="2" to-layer="159" to-port="0" />
-		<edge from-layer="159" from-port="1" to-layer="160" to-port="1" />
-		<edge from-layer="160" from-port="2" to-layer="162" to-port="0" />
-		<edge from-layer="161" from-port="0" to-layer="162" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="1472" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="1285" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="350" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="911" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="1659" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="537" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="1846" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="2033" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="2219" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="1098" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="724" to-port="1" />
-		<edge from-layer="162" from-port="2" to-layer="163" to-port="1" />
-		<edge from-layer="163" from-port="2" to-layer="164" to-port="0" />
-		<edge from-layer="164" from-port="1" to-layer="193" to-port="0" />
-		<edge from-layer="165" from-port="0" to-layer="174" to-port="0" />
-		<edge from-layer="166" from-port="5" to-layer="173" to-port="0" />
-		<edge from-layer="167" from-port="0" to-layer="168" to-port="0" />
-		<edge from-layer="168" from-port="1" to-layer="170" to-port="0" />
-		<edge from-layer="169" from-port="0" to-layer="170" to-port="1" />
-		<edge from-layer="170" from-port="2" to-layer="172" to-port="0" />
-		<edge from-layer="171" from-port="0" to-layer="172" to-port="1" />
-		<edge from-layer="172" from-port="2" to-layer="173" to-port="1" />
-		<edge from-layer="173" from-port="2" to-layer="174" to-port="1" />
-		<edge from-layer="174" from-port="2" to-layer="190" to-port="0" />
-		<edge from-layer="174" from-port="2" to-layer="175" to-port="0" />
-		<edge from-layer="174" from-port="2" to-layer="181" to-port="0" />
-		<edge from-layer="175" from-port="1" to-layer="178" to-port="0" />
-		<edge from-layer="176" from-port="0" to-layer="178" to-port="1" />
-		<edge from-layer="177" from-port="0" to-layer="178" to-port="2" />
-		<edge from-layer="178" from-port="3" to-layer="180" to-port="0" />
-		<edge from-layer="179" from-port="0" to-layer="180" to-port="1" />
-		<edge from-layer="180" from-port="2" to-layer="189" to-port="0" />
-		<edge from-layer="181" from-port="1" to-layer="184" to-port="0" />
-		<edge from-layer="182" from-port="0" to-layer="184" to-port="1" />
-		<edge from-layer="183" from-port="0" to-layer="184" to-port="2" />
-		<edge from-layer="184" from-port="3" to-layer="186" to-port="0" />
+		<edge from-layer="138" from-port="2" to-layer="139" to-port="0" />
+		<edge from-layer="139" from-port="1" to-layer="140" to-port="1" />
+		<edge from-layer="140" from-port="2" to-layer="142" to-port="0" />
+		<edge from-layer="141" from-port="0" to-layer="142" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="554" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="417" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="691" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="828" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="1650" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="1513" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="1376" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="280" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="1239" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="1102" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="965" to-port="1" />
+		<edge from-layer="142" from-port="2" to-layer="143" to-port="1" />
+		<edge from-layer="143" from-port="2" to-layer="144" to-port="0" />
+		<edge from-layer="144" from-port="1" to-layer="167" to-port="0" />
+		<edge from-layer="145" from-port="0" to-layer="148" to-port="0" />
+		<edge from-layer="146" from-port="0" to-layer="147" to-port="1" />
+		<edge from-layer="147" from-port="2" to-layer="148" to-port="1" />
+		<edge from-layer="148" from-port="2" to-layer="149" to-port="0" />
+		<edge from-layer="148" from-port="2" to-layer="155" to-port="0" />
+		<edge from-layer="148" from-port="2" to-layer="164" to-port="0" />
+		<edge from-layer="149" from-port="1" to-layer="152" to-port="0" />
+		<edge from-layer="150" from-port="0" to-layer="152" to-port="1" />
+		<edge from-layer="151" from-port="0" to-layer="152" to-port="2" />
+		<edge from-layer="152" from-port="3" to-layer="154" to-port="0" />
+		<edge from-layer="153" from-port="0" to-layer="154" to-port="1" />
+		<edge from-layer="154" from-port="2" to-layer="163" to-port="0" />
+		<edge from-layer="155" from-port="1" to-layer="158" to-port="0" />
+		<edge from-layer="156" from-port="0" to-layer="158" to-port="1" />
+		<edge from-layer="157" from-port="0" to-layer="158" to-port="2" />
+		<edge from-layer="158" from-port="3" to-layer="160" to-port="0" />
+		<edge from-layer="159" from-port="0" to-layer="160" to-port="1" />
+		<edge from-layer="160" from-port="2" to-layer="163" to-port="1" />
+		<edge from-layer="161" from-port="0" to-layer="163" to-port="2" />
+		<edge from-layer="162" from-port="0" to-layer="163" to-port="3" />
+		<edge from-layer="163" from-port="4" to-layer="164" to-port="1" />
+		<edge from-layer="164" from-port="2" to-layer="166" to-port="0" />
+		<edge from-layer="165" from-port="0" to-layer="166" to-port="1" />
+		<edge from-layer="166" from-port="2" to-layer="167" to-port="1" />
+		<edge from-layer="167" from-port="2" to-layer="169" to-port="0" />
+		<edge from-layer="168" from-port="0" to-layer="169" to-port="1" />
+		<edge from-layer="169" from-port="2" to-layer="170" to-port="0" />
+		<edge from-layer="169" from-port="2" to-layer="176" to-port="0" />
+		<edge from-layer="169" from-port="2" to-layer="184" to-port="0" />
+		<edge from-layer="170" from-port="1" to-layer="173" to-port="0" />
+		<edge from-layer="171" from-port="0" to-layer="173" to-port="1" />
+		<edge from-layer="172" from-port="0" to-layer="173" to-port="2" />
+		<edge from-layer="173" from-port="3" to-layer="175" to-port="0" />
+		<edge from-layer="174" from-port="0" to-layer="175" to-port="1" />
+		<edge from-layer="175" from-port="2" to-layer="183" to-port="0" />
+		<edge from-layer="176" from-port="1" to-layer="179" to-port="0" />
+		<edge from-layer="177" from-port="0" to-layer="179" to-port="1" />
+		<edge from-layer="178" from-port="0" to-layer="179" to-port="2" />
+		<edge from-layer="179" from-port="3" to-layer="181" to-port="0" />
+		<edge from-layer="180" from-port="0" to-layer="181" to-port="1" />
+		<edge from-layer="181" from-port="2" to-layer="183" to-port="1" />
+		<edge from-layer="182" from-port="0" to-layer="183" to-port="2" />
+		<edge from-layer="183" from-port="3" to-layer="184" to-port="1" />
+		<edge from-layer="184" from-port="2" to-layer="186" to-port="0" />
 		<edge from-layer="185" from-port="0" to-layer="186" to-port="1" />
-		<edge from-layer="186" from-port="2" to-layer="189" to-port="1" />
-		<edge from-layer="187" from-port="0" to-layer="189" to-port="2" />
-		<edge from-layer="188" from-port="0" to-layer="189" to-port="3" />
-		<edge from-layer="189" from-port="4" to-layer="190" to-port="1" />
-		<edge from-layer="190" from-port="2" to-layer="192" to-port="0" />
-		<edge from-layer="191" from-port="0" to-layer="192" to-port="1" />
-		<edge from-layer="192" from-port="2" to-layer="193" to-port="1" />
-		<edge from-layer="193" from-port="2" to-layer="196" to-port="0" />
-		<edge from-layer="194" from-port="0" to-layer="196" to-port="1" />
-		<edge from-layer="194" from-port="0" to-layer="196" to-port="3" />
-		<edge from-layer="195" from-port="0" to-layer="196" to-port="2" />
-		<edge from-layer="195" from-port="0" to-layer="196" to-port="4" />
-		<edge from-layer="196" from-port="5" to-layer="198" to-port="0" />
-		<edge from-layer="197" from-port="0" to-layer="198" to-port="1" />
-		<edge from-layer="198" from-port="2" to-layer="213" to-port="0" />
-		<edge from-layer="198" from-port="2" to-layer="205" to-port="0" />
-		<edge from-layer="198" from-port="2" to-layer="199" to-port="0" />
-		<edge from-layer="199" from-port="1" to-layer="202" to-port="0" />
-		<edge from-layer="200" from-port="0" to-layer="202" to-port="1" />
-		<edge from-layer="201" from-port="0" to-layer="202" to-port="2" />
-		<edge from-layer="202" from-port="3" to-layer="204" to-port="0" />
-		<edge from-layer="203" from-port="0" to-layer="204" to-port="1" />
-		<edge from-layer="204" from-port="2" to-layer="212" to-port="0" />
-		<edge from-layer="205" from-port="1" to-layer="208" to-port="0" />
-		<edge from-layer="206" from-port="0" to-layer="208" to-port="1" />
-		<edge from-layer="207" from-port="0" to-layer="208" to-port="2" />
-		<edge from-layer="208" from-port="3" to-layer="210" to-port="0" />
-		<edge from-layer="209" from-port="0" to-layer="210" to-port="1" />
-		<edge from-layer="210" from-port="2" to-layer="212" to-port="1" />
-		<edge from-layer="211" from-port="0" to-layer="212" to-port="2" />
-		<edge from-layer="212" from-port="3" to-layer="213" to-port="1" />
-		<edge from-layer="213" from-port="2" to-layer="220" to-port="0" />
-		<edge from-layer="214" from-port="0" to-layer="215" to-port="0" />
-		<edge from-layer="215" from-port="1" to-layer="217" to-port="0" />
-		<edge from-layer="216" from-port="0" to-layer="217" to-port="1" />
-		<edge from-layer="217" from-port="2" to-layer="219" to-port="0" />
-		<edge from-layer="218" from-port="0" to-layer="219" to-port="1" />
-		<edge from-layer="219" from-port="2" to-layer="220" to-port="1" />
+		<edge from-layer="186" from-port="2" to-layer="187" to-port="1" />
+		<edge from-layer="187" from-port="2" to-layer="188" to-port="0" />
+		<edge from-layer="188" from-port="2" to-layer="191" to-port="0" />
+		<edge from-layer="188" from-port="2" to-layer="190" to-port="0" />
+		<edge from-layer="189" from-port="0" to-layer="190" to-port="1" />
+		<edge from-layer="190" from-port="2" to-layer="191" to-port="1" />
+		<edge from-layer="191" from-port="2" to-layer="193" to-port="0" />
+		<edge from-layer="191" from-port="2" to-layer="199" to-port="0" />
+		<edge from-layer="192" from-port="0" to-layer="193" to-port="1" />
+		<edge from-layer="193" from-port="2" to-layer="195" to-port="0" />
+		<edge from-layer="194" from-port="0" to-layer="195" to-port="1" />
+		<edge from-layer="195" from-port="2" to-layer="197" to-port="0" />
+		<edge from-layer="196" from-port="0" to-layer="197" to-port="1" />
+		<edge from-layer="197" from-port="2" to-layer="198" to-port="0" />
+		<edge from-layer="198" from-port="1" to-layer="199" to-port="1" />
+		<edge from-layer="199" from-port="2" to-layer="201" to-port="0" />
+		<edge from-layer="200" from-port="0" to-layer="201" to-port="1" />
+		<edge from-layer="201" from-port="2" to-layer="203" to-port="0" />
+		<edge from-layer="202" from-port="0" to-layer="203" to-port="1" />
+		<edge from-layer="203" from-port="2" to-layer="205" to-port="0" />
+		<edge from-layer="203" from-port="2" to-layer="218" to-port="1" />
+		<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
+		<edge from-layer="205" from-port="2" to-layer="206" to-port="1" />
+		<edge from-layer="206" from-port="2" to-layer="208" to-port="0" />
+		<edge from-layer="206" from-port="2" to-layer="212" to-port="0" />
+		<edge from-layer="207" from-port="0" to-layer="208" to-port="1" />
+		<edge from-layer="208" from-port="2" to-layer="209" to-port="0" />
+		<edge from-layer="209" from-port="1" to-layer="211" to-port="0" />
+		<edge from-layer="210" from-port="0" to-layer="211" to-port="1" />
+		<edge from-layer="211" from-port="2" to-layer="212" to-port="1" />
+		<edge from-layer="212" from-port="2" to-layer="214" to-port="0" />
+		<edge from-layer="213" from-port="0" to-layer="214" to-port="1" />
+		<edge from-layer="214" from-port="2" to-layer="216" to-port="0" />
+		<edge from-layer="215" from-port="0" to-layer="216" to-port="1" />
+		<edge from-layer="216" from-port="2" to-layer="217" to-port="1" />
+		<edge from-layer="217" from-port="2" to-layer="218" to-port="0" />
+		<edge from-layer="218" from-port="2" to-layer="221" to-port="0" />
+		<edge from-layer="218" from-port="2" to-layer="220" to-port="0" />
+		<edge from-layer="219" from-port="0" to-layer="220" to-port="1" />
 		<edge from-layer="220" from-port="2" to-layer="221" to-port="1" />
-		<edge from-layer="221" from-port="2" to-layer="222" to-port="0" />
-		<edge from-layer="222" from-port="2" to-layer="225" to-port="0" />
-		<edge from-layer="222" from-port="2" to-layer="224" to-port="0" />
-		<edge from-layer="223" from-port="0" to-layer="224" to-port="1" />
-		<edge from-layer="224" from-port="2" to-layer="225" to-port="1" />
+		<edge from-layer="221" from-port="2" to-layer="223" to-port="0" />
+		<edge from-layer="221" from-port="2" to-layer="229" to-port="0" />
+		<edge from-layer="222" from-port="0" to-layer="223" to-port="1" />
+		<edge from-layer="223" from-port="2" to-layer="225" to-port="0" />
+		<edge from-layer="224" from-port="0" to-layer="225" to-port="1" />
 		<edge from-layer="225" from-port="2" to-layer="227" to-port="0" />
-		<edge from-layer="225" from-port="2" to-layer="233" to-port="0" />
 		<edge from-layer="226" from-port="0" to-layer="227" to-port="1" />
-		<edge from-layer="227" from-port="2" to-layer="229" to-port="0" />
-		<edge from-layer="228" from-port="0" to-layer="229" to-port="1" />
+		<edge from-layer="227" from-port="2" to-layer="228" to-port="0" />
+		<edge from-layer="228" from-port="1" to-layer="229" to-port="1" />
 		<edge from-layer="229" from-port="2" to-layer="231" to-port="0" />
 		<edge from-layer="230" from-port="0" to-layer="231" to-port="1" />
-		<edge from-layer="231" from-port="2" to-layer="232" to-port="0" />
-		<edge from-layer="232" from-port="1" to-layer="233" to-port="1" />
+		<edge from-layer="231" from-port="2" to-layer="233" to-port="0" />
+		<edge from-layer="232" from-port="0" to-layer="233" to-port="1" />
+		<edge from-layer="233" from-port="2" to-layer="284" to-port="0" />
+		<edge from-layer="233" from-port="2" to-layer="257" to-port="0" />
 		<edge from-layer="233" from-port="2" to-layer="235" to-port="0" />
+		<edge from-layer="233" from-port="2" to-layer="325" to-port="1" />
 		<edge from-layer="234" from-port="0" to-layer="235" to-port="1" />
-		<edge from-layer="235" from-port="2" to-layer="237" to-port="0" />
-		<edge from-layer="236" from-port="0" to-layer="237" to-port="1" />
-		<edge from-layer="237" from-port="2" to-layer="268" to-port="1" />
-		<edge from-layer="237" from-port="2" to-layer="240" to-port="0" />
+		<edge from-layer="235" from-port="2" to-layer="236" to-port="1" />
+		<edge from-layer="236" from-port="2" to-layer="252" to-port="0" />
+		<edge from-layer="236" from-port="2" to-layer="237" to-port="0" />
+		<edge from-layer="236" from-port="2" to-layer="243" to-port="0" />
+		<edge from-layer="237" from-port="1" to-layer="240" to-port="0" />
 		<edge from-layer="238" from-port="0" to-layer="240" to-port="1" />
-		<edge from-layer="238" from-port="0" to-layer="240" to-port="3" />
 		<edge from-layer="239" from-port="0" to-layer="240" to-port="2" />
-		<edge from-layer="239" from-port="0" to-layer="240" to-port="4" />
-		<edge from-layer="240" from-port="5" to-layer="247" to-port="0" />
-		<edge from-layer="241" from-port="0" to-layer="242" to-port="0" />
-		<edge from-layer="242" from-port="1" to-layer="244" to-port="0" />
-		<edge from-layer="243" from-port="0" to-layer="244" to-port="1" />
-		<edge from-layer="244" from-port="2" to-layer="246" to-port="0" />
-		<edge from-layer="245" from-port="0" to-layer="246" to-port="1" />
-		<edge from-layer="246" from-port="2" to-layer="247" to-port="1" />
-		<edge from-layer="247" from-port="2" to-layer="248" to-port="1" />
-		<edge from-layer="248" from-port="2" to-layer="250" to-port="0" />
-		<edge from-layer="248" from-port="2" to-layer="254" to-port="0" />
-		<edge from-layer="249" from-port="0" to-layer="250" to-port="1" />
-		<edge from-layer="250" from-port="2" to-layer="251" to-port="0" />
-		<edge from-layer="251" from-port="1" to-layer="253" to-port="0" />
-		<edge from-layer="252" from-port="0" to-layer="253" to-port="1" />
-		<edge from-layer="253" from-port="2" to-layer="254" to-port="1" />
-		<edge from-layer="254" from-port="2" to-layer="256" to-port="0" />
-		<edge from-layer="255" from-port="0" to-layer="256" to-port="1" />
-		<edge from-layer="256" from-port="2" to-layer="259" to-port="0" />
-		<edge from-layer="257" from-port="0" to-layer="259" to-port="3" />
-		<edge from-layer="257" from-port="0" to-layer="259" to-port="1" />
-		<edge from-layer="258" from-port="0" to-layer="259" to-port="2" />
-		<edge from-layer="258" from-port="0" to-layer="259" to-port="4" />
-		<edge from-layer="259" from-port="5" to-layer="266" to-port="0" />
-		<edge from-layer="260" from-port="0" to-layer="261" to-port="0" />
-		<edge from-layer="261" from-port="1" to-layer="263" to-port="0" />
-		<edge from-layer="262" from-port="0" to-layer="263" to-port="1" />
-		<edge from-layer="263" from-port="2" to-layer="265" to-port="0" />
-		<edge from-layer="264" from-port="0" to-layer="265" to-port="1" />
-		<edge from-layer="265" from-port="2" to-layer="266" to-port="1" />
-		<edge from-layer="266" from-port="2" to-layer="267" to-port="1" />
-		<edge from-layer="267" from-port="2" to-layer="268" to-port="0" />
-		<edge from-layer="268" from-port="2" to-layer="270" to-port="0" />
-		<edge from-layer="268" from-port="2" to-layer="271" to-port="0" />
+		<edge from-layer="240" from-port="3" to-layer="242" to-port="0" />
+		<edge from-layer="241" from-port="0" to-layer="242" to-port="1" />
+		<edge from-layer="242" from-port="2" to-layer="251" to-port="0" />
+		<edge from-layer="243" from-port="1" to-layer="246" to-port="0" />
+		<edge from-layer="244" from-port="0" to-layer="246" to-port="1" />
+		<edge from-layer="245" from-port="0" to-layer="246" to-port="2" />
+		<edge from-layer="246" from-port="3" to-layer="248" to-port="0" />
+		<edge from-layer="247" from-port="0" to-layer="248" to-port="1" />
+		<edge from-layer="248" from-port="2" to-layer="251" to-port="1" />
+		<edge from-layer="249" from-port="0" to-layer="251" to-port="2" />
+		<edge from-layer="250" from-port="0" to-layer="251" to-port="3" />
+		<edge from-layer="251" from-port="4" to-layer="252" to-port="1" />
+		<edge from-layer="252" from-port="2" to-layer="254" to-port="0" />
+		<edge from-layer="253" from-port="0" to-layer="254" to-port="1" />
+		<edge from-layer="254" from-port="2" to-layer="277" to-port="0" />
+		<edge from-layer="255" from-port="0" to-layer="258" to-port="0" />
+		<edge from-layer="256" from-port="0" to-layer="257" to-port="1" />
+		<edge from-layer="257" from-port="2" to-layer="258" to-port="1" />
+		<edge from-layer="258" from-port="2" to-layer="259" to-port="0" />
+		<edge from-layer="258" from-port="2" to-layer="265" to-port="0" />
+		<edge from-layer="258" from-port="2" to-layer="274" to-port="0" />
+		<edge from-layer="259" from-port="1" to-layer="262" to-port="0" />
+		<edge from-layer="260" from-port="0" to-layer="262" to-port="1" />
+		<edge from-layer="261" from-port="0" to-layer="262" to-port="2" />
+		<edge from-layer="262" from-port="3" to-layer="264" to-port="0" />
+		<edge from-layer="263" from-port="0" to-layer="264" to-port="1" />
+		<edge from-layer="264" from-port="2" to-layer="273" to-port="0" />
+		<edge from-layer="265" from-port="1" to-layer="268" to-port="0" />
+		<edge from-layer="266" from-port="0" to-layer="268" to-port="1" />
+		<edge from-layer="267" from-port="0" to-layer="268" to-port="2" />
+		<edge from-layer="268" from-port="3" to-layer="270" to-port="0" />
 		<edge from-layer="269" from-port="0" to-layer="270" to-port="1" />
-		<edge from-layer="270" from-port="2" to-layer="271" to-port="1" />
-		<edge from-layer="271" from-port="2" to-layer="273" to-port="0" />
-		<edge from-layer="271" from-port="2" to-layer="279" to-port="0" />
-		<edge from-layer="272" from-port="0" to-layer="273" to-port="1" />
-		<edge from-layer="273" from-port="2" to-layer="275" to-port="0" />
-		<edge from-layer="274" from-port="0" to-layer="275" to-port="1" />
-		<edge from-layer="275" from-port="2" to-layer="277" to-port="0" />
-		<edge from-layer="276" from-port="0" to-layer="277" to-port="1" />
-		<edge from-layer="277" from-port="2" to-layer="278" to-port="0" />
-		<edge from-layer="278" from-port="1" to-layer="279" to-port="1" />
-		<edge from-layer="279" from-port="2" to-layer="281" to-port="0" />
-		<edge from-layer="280" from-port="0" to-layer="281" to-port="1" />
-		<edge from-layer="281" from-port="2" to-layer="283" to-port="0" />
-		<edge from-layer="282" from-port="0" to-layer="283" to-port="1" />
-		<edge from-layer="283" from-port="2" to-layer="317" to-port="0" />
-		<edge from-layer="283" from-port="2" to-layer="286" to-port="0" />
-		<edge from-layer="283" from-port="2" to-layer="353" to-port="0" />
-		<edge from-layer="283" from-port="2" to-layer="409" to-port="1" />
-		<edge from-layer="284" from-port="0" to-layer="353" to-port="3" />
-		<edge from-layer="284" from-port="0" to-layer="353" to-port="1" />
-		<edge from-layer="284" from-port="0" to-layer="317" to-port="3" />
-		<edge from-layer="284" from-port="0" to-layer="317" to-port="1" />
-		<edge from-layer="284" from-port="0" to-layer="286" to-port="1" />
-		<edge from-layer="284" from-port="0" to-layer="286" to-port="3" />
-		<edge from-layer="285" from-port="0" to-layer="353" to-port="4" />
-		<edge from-layer="285" from-port="0" to-layer="353" to-port="2" />
-		<edge from-layer="285" from-port="0" to-layer="317" to-port="4" />
-		<edge from-layer="285" from-port="0" to-layer="317" to-port="2" />
-		<edge from-layer="285" from-port="0" to-layer="286" to-port="2" />
-		<edge from-layer="285" from-port="0" to-layer="286" to-port="4" />
-		<edge from-layer="286" from-port="5" to-layer="293" to-port="0" />
-		<edge from-layer="287" from-port="0" to-layer="288" to-port="0" />
-		<edge from-layer="288" from-port="1" to-layer="290" to-port="0" />
-		<edge from-layer="289" from-port="0" to-layer="290" to-port="1" />
-		<edge from-layer="290" from-port="2" to-layer="292" to-port="0" />
-		<edge from-layer="291" from-port="0" to-layer="292" to-port="1" />
-		<edge from-layer="292" from-port="2" to-layer="293" to-port="1" />
-		<edge from-layer="293" from-port="2" to-layer="294" to-port="1" />
-		<edge from-layer="294" from-port="2" to-layer="297" to-port="0" />
-		<edge from-layer="295" from-port="0" to-layer="297" to-port="3" />
-		<edge from-layer="295" from-port="0" to-layer="297" to-port="1" />
-		<edge from-layer="296" from-port="0" to-layer="297" to-port="4" />
-		<edge from-layer="296" from-port="0" to-layer="297" to-port="2" />
-		<edge from-layer="297" from-port="5" to-layer="298" to-port="0" />
-		<edge from-layer="297" from-port="5" to-layer="313" to-port="0" />
-		<edge from-layer="297" from-port="5" to-layer="304" to-port="0" />
-		<edge from-layer="298" from-port="1" to-layer="301" to-port="0" />
-		<edge from-layer="299" from-port="0" to-layer="301" to-port="1" />
-		<edge from-layer="300" from-port="0" to-layer="301" to-port="2" />
-		<edge from-layer="301" from-port="3" to-layer="303" to-port="0" />
+		<edge from-layer="270" from-port="2" to-layer="273" to-port="1" />
+		<edge from-layer="271" from-port="0" to-layer="273" to-port="2" />
+		<edge from-layer="272" from-port="0" to-layer="273" to-port="3" />
+		<edge from-layer="273" from-port="4" to-layer="274" to-port="1" />
+		<edge from-layer="274" from-port="2" to-layer="276" to-port="0" />
+		<edge from-layer="275" from-port="0" to-layer="276" to-port="1" />
+		<edge from-layer="276" from-port="2" to-layer="277" to-port="1" />
+		<edge from-layer="277" from-port="2" to-layer="279" to-port="0" />
+		<edge from-layer="278" from-port="0" to-layer="279" to-port="1" />
+		<edge from-layer="279" from-port="2" to-layer="280" to-port="0" />
+		<edge from-layer="280" from-port="2" to-layer="281" to-port="0" />
+		<edge from-layer="281" from-port="1" to-layer="304" to-port="0" />
+		<edge from-layer="282" from-port="0" to-layer="285" to-port="0" />
+		<edge from-layer="283" from-port="0" to-layer="284" to-port="1" />
+		<edge from-layer="284" from-port="2" to-layer="285" to-port="1" />
+		<edge from-layer="285" from-port="2" to-layer="286" to-port="0" />
+		<edge from-layer="285" from-port="2" to-layer="292" to-port="0" />
+		<edge from-layer="285" from-port="2" to-layer="301" to-port="0" />
+		<edge from-layer="286" from-port="1" to-layer="289" to-port="0" />
+		<edge from-layer="287" from-port="0" to-layer="289" to-port="1" />
+		<edge from-layer="288" from-port="0" to-layer="289" to-port="2" />
+		<edge from-layer="289" from-port="3" to-layer="291" to-port="0" />
+		<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
+		<edge from-layer="291" from-port="2" to-layer="300" to-port="0" />
+		<edge from-layer="292" from-port="1" to-layer="295" to-port="0" />
+		<edge from-layer="293" from-port="0" to-layer="295" to-port="1" />
+		<edge from-layer="294" from-port="0" to-layer="295" to-port="2" />
+		<edge from-layer="295" from-port="3" to-layer="297" to-port="0" />
+		<edge from-layer="296" from-port="0" to-layer="297" to-port="1" />
+		<edge from-layer="297" from-port="2" to-layer="300" to-port="1" />
+		<edge from-layer="298" from-port="0" to-layer="300" to-port="2" />
+		<edge from-layer="299" from-port="0" to-layer="300" to-port="3" />
+		<edge from-layer="300" from-port="4" to-layer="301" to-port="1" />
+		<edge from-layer="301" from-port="2" to-layer="303" to-port="0" />
 		<edge from-layer="302" from-port="0" to-layer="303" to-port="1" />
-		<edge from-layer="303" from-port="2" to-layer="312" to-port="0" />
-		<edge from-layer="304" from-port="1" to-layer="307" to-port="0" />
-		<edge from-layer="305" from-port="0" to-layer="307" to-port="1" />
-		<edge from-layer="306" from-port="0" to-layer="307" to-port="2" />
-		<edge from-layer="307" from-port="3" to-layer="309" to-port="0" />
-		<edge from-layer="308" from-port="0" to-layer="309" to-port="1" />
-		<edge from-layer="309" from-port="2" to-layer="312" to-port="1" />
-		<edge from-layer="310" from-port="0" to-layer="312" to-port="2" />
-		<edge from-layer="311" from-port="0" to-layer="312" to-port="3" />
-		<edge from-layer="312" from-port="4" to-layer="313" to-port="1" />
-		<edge from-layer="313" from-port="2" to-layer="315" to-port="0" />
-		<edge from-layer="314" from-port="0" to-layer="315" to-port="1" />
-		<edge from-layer="315" from-port="2" to-layer="347" to-port="0" />
-		<edge from-layer="316" from-port="0" to-layer="325" to-port="0" />
-		<edge from-layer="317" from-port="5" to-layer="324" to-port="0" />
-		<edge from-layer="318" from-port="0" to-layer="319" to-port="0" />
-		<edge from-layer="319" from-port="1" to-layer="321" to-port="0" />
-		<edge from-layer="320" from-port="0" to-layer="321" to-port="1" />
+		<edge from-layer="303" from-port="2" to-layer="304" to-port="1" />
+		<edge from-layer="304" from-port="2" to-layer="306" to-port="0" />
+		<edge from-layer="305" from-port="0" to-layer="306" to-port="1" />
+		<edge from-layer="306" from-port="2" to-layer="321" to-port="0" />
+		<edge from-layer="306" from-port="2" to-layer="313" to-port="0" />
+		<edge from-layer="306" from-port="2" to-layer="307" to-port="0" />
+		<edge from-layer="307" from-port="1" to-layer="310" to-port="0" />
+		<edge from-layer="308" from-port="0" to-layer="310" to-port="1" />
+		<edge from-layer="309" from-port="0" to-layer="310" to-port="2" />
+		<edge from-layer="310" from-port="3" to-layer="312" to-port="0" />
+		<edge from-layer="311" from-port="0" to-layer="312" to-port="1" />
+		<edge from-layer="312" from-port="2" to-layer="320" to-port="0" />
+		<edge from-layer="313" from-port="1" to-layer="316" to-port="0" />
+		<edge from-layer="314" from-port="0" to-layer="316" to-port="1" />
+		<edge from-layer="315" from-port="0" to-layer="316" to-port="2" />
+		<edge from-layer="316" from-port="3" to-layer="318" to-port="0" />
+		<edge from-layer="317" from-port="0" to-layer="318" to-port="1" />
+		<edge from-layer="318" from-port="2" to-layer="320" to-port="1" />
+		<edge from-layer="319" from-port="0" to-layer="320" to-port="2" />
+		<edge from-layer="320" from-port="3" to-layer="321" to-port="1" />
 		<edge from-layer="321" from-port="2" to-layer="323" to-port="0" />
 		<edge from-layer="322" from-port="0" to-layer="323" to-port="1" />
 		<edge from-layer="323" from-port="2" to-layer="324" to-port="1" />
-		<edge from-layer="324" from-port="2" to-layer="325" to-port="1" />
+		<edge from-layer="324" from-port="2" to-layer="325" to-port="0" />
 		<edge from-layer="325" from-port="2" to-layer="328" to-port="0" />
-		<edge from-layer="326" from-port="0" to-layer="328" to-port="1" />
-		<edge from-layer="326" from-port="0" to-layer="328" to-port="3" />
-		<edge from-layer="327" from-port="0" to-layer="328" to-port="2" />
-		<edge from-layer="327" from-port="0" to-layer="328" to-port="4" />
-		<edge from-layer="328" from-port="5" to-layer="329" to-port="0" />
-		<edge from-layer="328" from-port="5" to-layer="335" to-port="0" />
-		<edge from-layer="328" from-port="5" to-layer="344" to-port="0" />
-		<edge from-layer="329" from-port="1" to-layer="332" to-port="0" />
-		<edge from-layer="330" from-port="0" to-layer="332" to-port="1" />
-		<edge from-layer="331" from-port="0" to-layer="332" to-port="2" />
-		<edge from-layer="332" from-port="3" to-layer="334" to-port="0" />
+		<edge from-layer="325" from-port="2" to-layer="327" to-port="0" />
+		<edge from-layer="326" from-port="0" to-layer="327" to-port="1" />
+		<edge from-layer="327" from-port="2" to-layer="328" to-port="1" />
+		<edge from-layer="328" from-port="2" to-layer="336" to-port="0" />
+		<edge from-layer="328" from-port="2" to-layer="330" to-port="0" />
+		<edge from-layer="329" from-port="0" to-layer="330" to-port="1" />
+		<edge from-layer="330" from-port="2" to-layer="332" to-port="0" />
+		<edge from-layer="331" from-port="0" to-layer="332" to-port="1" />
+		<edge from-layer="332" from-port="2" to-layer="334" to-port="0" />
 		<edge from-layer="333" from-port="0" to-layer="334" to-port="1" />
-		<edge from-layer="334" from-port="2" to-layer="343" to-port="0" />
-		<edge from-layer="335" from-port="1" to-layer="338" to-port="0" />
-		<edge from-layer="336" from-port="0" to-layer="338" to-port="1" />
-		<edge from-layer="337" from-port="0" to-layer="338" to-port="2" />
-		<edge from-layer="338" from-port="3" to-layer="340" to-port="0" />
+		<edge from-layer="334" from-port="2" to-layer="335" to-port="0" />
+		<edge from-layer="335" from-port="1" to-layer="336" to-port="1" />
+		<edge from-layer="336" from-port="2" to-layer="338" to-port="0" />
+		<edge from-layer="337" from-port="0" to-layer="338" to-port="1" />
+		<edge from-layer="338" from-port="2" to-layer="340" to-port="0" />
 		<edge from-layer="339" from-port="0" to-layer="340" to-port="1" />
-		<edge from-layer="340" from-port="2" to-layer="343" to-port="1" />
-		<edge from-layer="341" from-port="0" to-layer="343" to-port="2" />
-		<edge from-layer="342" from-port="0" to-layer="343" to-port="3" />
-		<edge from-layer="343" from-port="4" to-layer="344" to-port="1" />
-		<edge from-layer="344" from-port="2" to-layer="346" to-port="0" />
-		<edge from-layer="345" from-port="0" to-layer="346" to-port="1" />
-		<edge from-layer="346" from-port="2" to-layer="347" to-port="1" />
-		<edge from-layer="347" from-port="2" to-layer="349" to-port="0" />
-		<edge from-layer="348" from-port="0" to-layer="349" to-port="1" />
-		<edge from-layer="349" from-port="2" to-layer="350" to-port="0" />
-		<edge from-layer="350" from-port="2" to-layer="351" to-port="0" />
-		<edge from-layer="351" from-port="1" to-layer="380" to-port="0" />
-		<edge from-layer="352" from-port="0" to-layer="361" to-port="0" />
-		<edge from-layer="353" from-port="5" to-layer="360" to-port="0" />
-		<edge from-layer="354" from-port="0" to-layer="355" to-port="0" />
-		<edge from-layer="355" from-port="1" to-layer="357" to-port="0" />
+		<edge from-layer="340" from-port="2" to-layer="355" to-port="1" />
+		<edge from-layer="340" from-port="2" to-layer="342" to-port="0" />
+		<edge from-layer="341" from-port="0" to-layer="342" to-port="1" />
+		<edge from-layer="342" from-port="2" to-layer="343" to-port="1" />
+		<edge from-layer="343" from-port="2" to-layer="345" to-port="0" />
+		<edge from-layer="343" from-port="2" to-layer="349" to-port="0" />
+		<edge from-layer="344" from-port="0" to-layer="345" to-port="1" />
+		<edge from-layer="345" from-port="2" to-layer="346" to-port="0" />
+		<edge from-layer="346" from-port="1" to-layer="348" to-port="0" />
+		<edge from-layer="347" from-port="0" to-layer="348" to-port="1" />
+		<edge from-layer="348" from-port="2" to-layer="349" to-port="1" />
+		<edge from-layer="349" from-port="2" to-layer="351" to-port="0" />
+		<edge from-layer="350" from-port="0" to-layer="351" to-port="1" />
+		<edge from-layer="351" from-port="2" to-layer="353" to-port="0" />
+		<edge from-layer="352" from-port="0" to-layer="353" to-port="1" />
+		<edge from-layer="353" from-port="2" to-layer="354" to-port="1" />
+		<edge from-layer="354" from-port="2" to-layer="355" to-port="0" />
+		<edge from-layer="355" from-port="2" to-layer="357" to-port="0" />
+		<edge from-layer="355" from-port="2" to-layer="358" to-port="0" />
 		<edge from-layer="356" from-port="0" to-layer="357" to-port="1" />
-		<edge from-layer="357" from-port="2" to-layer="359" to-port="0" />
-		<edge from-layer="358" from-port="0" to-layer="359" to-port="1" />
-		<edge from-layer="359" from-port="2" to-layer="360" to-port="1" />
-		<edge from-layer="360" from-port="2" to-layer="361" to-port="1" />
-		<edge from-layer="361" from-port="2" to-layer="362" to-port="0" />
-		<edge from-layer="361" from-port="2" to-layer="377" to-port="0" />
-		<edge from-layer="361" from-port="2" to-layer="368" to-port="0" />
-		<edge from-layer="362" from-port="1" to-layer="365" to-port="0" />
-		<edge from-layer="363" from-port="0" to-layer="365" to-port="1" />
-		<edge from-layer="364" from-port="0" to-layer="365" to-port="2" />
-		<edge from-layer="365" from-port="3" to-layer="367" to-port="0" />
-		<edge from-layer="366" from-port="0" to-layer="367" to-port="1" />
-		<edge from-layer="367" from-port="2" to-layer="376" to-port="0" />
-		<edge from-layer="368" from-port="1" to-layer="371" to-port="0" />
-		<edge from-layer="369" from-port="0" to-layer="371" to-port="1" />
-		<edge from-layer="370" from-port="0" to-layer="371" to-port="2" />
-		<edge from-layer="371" from-port="3" to-layer="373" to-port="0" />
-		<edge from-layer="372" from-port="0" to-layer="373" to-port="1" />
-		<edge from-layer="373" from-port="2" to-layer="376" to-port="1" />
-		<edge from-layer="374" from-port="0" to-layer="376" to-port="2" />
-		<edge from-layer="375" from-port="0" to-layer="376" to-port="3" />
-		<edge from-layer="376" from-port="4" to-layer="377" to-port="1" />
-		<edge from-layer="377" from-port="2" to-layer="379" to-port="0" />
+		<edge from-layer="357" from-port="2" to-layer="358" to-port="1" />
+		<edge from-layer="358" from-port="2" to-layer="360" to-port="0" />
+		<edge from-layer="358" from-port="2" to-layer="366" to-port="0" />
+		<edge from-layer="359" from-port="0" to-layer="360" to-port="1" />
+		<edge from-layer="360" from-port="2" to-layer="362" to-port="0" />
+		<edge from-layer="361" from-port="0" to-layer="362" to-port="1" />
+		<edge from-layer="362" from-port="2" to-layer="364" to-port="0" />
+		<edge from-layer="363" from-port="0" to-layer="364" to-port="1" />
+		<edge from-layer="364" from-port="2" to-layer="365" to-port="0" />
+		<edge from-layer="365" from-port="1" to-layer="366" to-port="1" />
+		<edge from-layer="366" from-port="2" to-layer="368" to-port="0" />
+		<edge from-layer="367" from-port="0" to-layer="368" to-port="1" />
+		<edge from-layer="368" from-port="2" to-layer="370" to-port="0" />
+		<edge from-layer="369" from-port="0" to-layer="370" to-port="1" />
+		<edge from-layer="370" from-port="2" to-layer="421" to-port="0" />
+		<edge from-layer="370" from-port="2" to-layer="394" to-port="0" />
+		<edge from-layer="370" from-port="2" to-layer="462" to-port="1" />
+		<edge from-layer="370" from-port="2" to-layer="372" to-port="0" />
+		<edge from-layer="371" from-port="0" to-layer="372" to-port="1" />
+		<edge from-layer="372" from-port="2" to-layer="373" to-port="1" />
+		<edge from-layer="373" from-port="2" to-layer="380" to-port="0" />
+		<edge from-layer="373" from-port="2" to-layer="389" to-port="0" />
+		<edge from-layer="373" from-port="2" to-layer="374" to-port="0" />
+		<edge from-layer="374" from-port="1" to-layer="377" to-port="0" />
+		<edge from-layer="375" from-port="0" to-layer="377" to-port="1" />
+		<edge from-layer="376" from-port="0" to-layer="377" to-port="2" />
+		<edge from-layer="377" from-port="3" to-layer="379" to-port="0" />
 		<edge from-layer="378" from-port="0" to-layer="379" to-port="1" />
-		<edge from-layer="379" from-port="2" to-layer="380" to-port="1" />
-		<edge from-layer="380" from-port="2" to-layer="383" to-port="0" />
+		<edge from-layer="379" from-port="2" to-layer="388" to-port="0" />
+		<edge from-layer="380" from-port="1" to-layer="383" to-port="0" />
 		<edge from-layer="381" from-port="0" to-layer="383" to-port="1" />
-		<edge from-layer="381" from-port="0" to-layer="383" to-port="3" />
 		<edge from-layer="382" from-port="0" to-layer="383" to-port="2" />
-		<edge from-layer="382" from-port="0" to-layer="383" to-port="4" />
-		<edge from-layer="383" from-port="5" to-layer="385" to-port="0" />
+		<edge from-layer="383" from-port="3" to-layer="385" to-port="0" />
 		<edge from-layer="384" from-port="0" to-layer="385" to-port="1" />
-		<edge from-layer="385" from-port="2" to-layer="400" to-port="0" />
-		<edge from-layer="385" from-port="2" to-layer="386" to-port="0" />
-		<edge from-layer="385" from-port="2" to-layer="392" to-port="0" />
-		<edge from-layer="386" from-port="1" to-layer="389" to-port="0" />
-		<edge from-layer="387" from-port="0" to-layer="389" to-port="1" />
-		<edge from-layer="388" from-port="0" to-layer="389" to-port="2" />
-		<edge from-layer="389" from-port="3" to-layer="391" to-port="0" />
+		<edge from-layer="385" from-port="2" to-layer="388" to-port="1" />
+		<edge from-layer="386" from-port="0" to-layer="388" to-port="2" />
+		<edge from-layer="387" from-port="0" to-layer="388" to-port="3" />
+		<edge from-layer="388" from-port="4" to-layer="389" to-port="1" />
+		<edge from-layer="389" from-port="2" to-layer="391" to-port="0" />
 		<edge from-layer="390" from-port="0" to-layer="391" to-port="1" />
-		<edge from-layer="391" from-port="2" to-layer="399" to-port="0" />
-		<edge from-layer="392" from-port="1" to-layer="395" to-port="0" />
-		<edge from-layer="393" from-port="0" to-layer="395" to-port="1" />
-		<edge from-layer="394" from-port="0" to-layer="395" to-port="2" />
-		<edge from-layer="395" from-port="3" to-layer="397" to-port="0" />
-		<edge from-layer="396" from-port="0" to-layer="397" to-port="1" />
-		<edge from-layer="397" from-port="2" to-layer="399" to-port="1" />
+		<edge from-layer="391" from-port="2" to-layer="414" to-port="0" />
+		<edge from-layer="392" from-port="0" to-layer="395" to-port="0" />
+		<edge from-layer="393" from-port="0" to-layer="394" to-port="1" />
+		<edge from-layer="394" from-port="2" to-layer="395" to-port="1" />
+		<edge from-layer="395" from-port="2" to-layer="396" to-port="0" />
+		<edge from-layer="395" from-port="2" to-layer="402" to-port="0" />
+		<edge from-layer="395" from-port="2" to-layer="411" to-port="0" />
+		<edge from-layer="396" from-port="1" to-layer="399" to-port="0" />
+		<edge from-layer="397" from-port="0" to-layer="399" to-port="1" />
 		<edge from-layer="398" from-port="0" to-layer="399" to-port="2" />
-		<edge from-layer="399" from-port="3" to-layer="400" to-port="1" />
-		<edge from-layer="400" from-port="2" to-layer="407" to-port="0" />
-		<edge from-layer="401" from-port="0" to-layer="402" to-port="0" />
-		<edge from-layer="402" from-port="1" to-layer="404" to-port="0" />
-		<edge from-layer="403" from-port="0" to-layer="404" to-port="1" />
-		<edge from-layer="404" from-port="2" to-layer="406" to-port="0" />
-		<edge from-layer="405" from-port="0" to-layer="406" to-port="1" />
-		<edge from-layer="406" from-port="2" to-layer="407" to-port="1" />
-		<edge from-layer="407" from-port="2" to-layer="408" to-port="1" />
-		<edge from-layer="408" from-port="2" to-layer="409" to-port="0" />
-		<edge from-layer="409" from-port="2" to-layer="411" to-port="0" />
-		<edge from-layer="409" from-port="2" to-layer="412" to-port="0" />
-		<edge from-layer="410" from-port="0" to-layer="411" to-port="1" />
-		<edge from-layer="411" from-port="2" to-layer="412" to-port="1" />
-		<edge from-layer="412" from-port="2" to-layer="414" to-port="0" />
-		<edge from-layer="412" from-port="2" to-layer="420" to-port="0" />
-		<edge from-layer="413" from-port="0" to-layer="414" to-port="1" />
+		<edge from-layer="399" from-port="3" to-layer="401" to-port="0" />
+		<edge from-layer="400" from-port="0" to-layer="401" to-port="1" />
+		<edge from-layer="401" from-port="2" to-layer="410" to-port="0" />
+		<edge from-layer="402" from-port="1" to-layer="405" to-port="0" />
+		<edge from-layer="403" from-port="0" to-layer="405" to-port="1" />
+		<edge from-layer="404" from-port="0" to-layer="405" to-port="2" />
+		<edge from-layer="405" from-port="3" to-layer="407" to-port="0" />
+		<edge from-layer="406" from-port="0" to-layer="407" to-port="1" />
+		<edge from-layer="407" from-port="2" to-layer="410" to-port="1" />
+		<edge from-layer="408" from-port="0" to-layer="410" to-port="2" />
+		<edge from-layer="409" from-port="0" to-layer="410" to-port="3" />
+		<edge from-layer="410" from-port="4" to-layer="411" to-port="1" />
+		<edge from-layer="411" from-port="2" to-layer="413" to-port="0" />
+		<edge from-layer="412" from-port="0" to-layer="413" to-port="1" />
+		<edge from-layer="413" from-port="2" to-layer="414" to-port="1" />
 		<edge from-layer="414" from-port="2" to-layer="416" to-port="0" />
 		<edge from-layer="415" from-port="0" to-layer="416" to-port="1" />
-		<edge from-layer="416" from-port="2" to-layer="418" to-port="0" />
-		<edge from-layer="417" from-port="0" to-layer="418" to-port="1" />
-		<edge from-layer="418" from-port="2" to-layer="419" to-port="0" />
-		<edge from-layer="419" from-port="1" to-layer="420" to-port="1" />
-		<edge from-layer="420" from-port="2" to-layer="422" to-port="0" />
-		<edge from-layer="421" from-port="0" to-layer="422" to-port="1" />
-		<edge from-layer="422" from-port="2" to-layer="424" to-port="0" />
-		<edge from-layer="423" from-port="0" to-layer="424" to-port="1" />
-		<edge from-layer="424" from-port="2" to-layer="455" to-port="1" />
-		<edge from-layer="424" from-port="2" to-layer="427" to-port="0" />
-		<edge from-layer="425" from-port="0" to-layer="427" to-port="1" />
-		<edge from-layer="425" from-port="0" to-layer="427" to-port="3" />
-		<edge from-layer="426" from-port="0" to-layer="427" to-port="2" />
-		<edge from-layer="426" from-port="0" to-layer="427" to-port="4" />
-		<edge from-layer="427" from-port="5" to-layer="434" to-port="0" />
-		<edge from-layer="428" from-port="0" to-layer="429" to-port="0" />
-		<edge from-layer="429" from-port="1" to-layer="431" to-port="0" />
-		<edge from-layer="430" from-port="0" to-layer="431" to-port="1" />
-		<edge from-layer="431" from-port="2" to-layer="433" to-port="0" />
-		<edge from-layer="432" from-port="0" to-layer="433" to-port="1" />
-		<edge from-layer="433" from-port="2" to-layer="434" to-port="1" />
-		<edge from-layer="434" from-port="2" to-layer="435" to-port="1" />
-		<edge from-layer="435" from-port="2" to-layer="437" to-port="0" />
-		<edge from-layer="435" from-port="2" to-layer="441" to-port="0" />
-		<edge from-layer="436" from-port="0" to-layer="437" to-port="1" />
-		<edge from-layer="437" from-port="2" to-layer="438" to-port="0" />
-		<edge from-layer="438" from-port="1" to-layer="440" to-port="0" />
+		<edge from-layer="416" from-port="2" to-layer="417" to-port="0" />
+		<edge from-layer="417" from-port="2" to-layer="418" to-port="0" />
+		<edge from-layer="418" from-port="1" to-layer="441" to-port="0" />
+		<edge from-layer="419" from-port="0" to-layer="422" to-port="0" />
+		<edge from-layer="420" from-port="0" to-layer="421" to-port="1" />
+		<edge from-layer="421" from-port="2" to-layer="422" to-port="1" />
+		<edge from-layer="422" from-port="2" to-layer="438" to-port="0" />
+		<edge from-layer="422" from-port="2" to-layer="423" to-port="0" />
+		<edge from-layer="422" from-port="2" to-layer="429" to-port="0" />
+		<edge from-layer="423" from-port="1" to-layer="426" to-port="0" />
+		<edge from-layer="424" from-port="0" to-layer="426" to-port="1" />
+		<edge from-layer="425" from-port="0" to-layer="426" to-port="2" />
+		<edge from-layer="426" from-port="3" to-layer="428" to-port="0" />
+		<edge from-layer="427" from-port="0" to-layer="428" to-port="1" />
+		<edge from-layer="428" from-port="2" to-layer="437" to-port="0" />
+		<edge from-layer="429" from-port="1" to-layer="432" to-port="0" />
+		<edge from-layer="430" from-port="0" to-layer="432" to-port="1" />
+		<edge from-layer="431" from-port="0" to-layer="432" to-port="2" />
+		<edge from-layer="432" from-port="3" to-layer="434" to-port="0" />
+		<edge from-layer="433" from-port="0" to-layer="434" to-port="1" />
+		<edge from-layer="434" from-port="2" to-layer="437" to-port="1" />
+		<edge from-layer="435" from-port="0" to-layer="437" to-port="2" />
+		<edge from-layer="436" from-port="0" to-layer="437" to-port="3" />
+		<edge from-layer="437" from-port="4" to-layer="438" to-port="1" />
+		<edge from-layer="438" from-port="2" to-layer="440" to-port="0" />
 		<edge from-layer="439" from-port="0" to-layer="440" to-port="1" />
 		<edge from-layer="440" from-port="2" to-layer="441" to-port="1" />
 		<edge from-layer="441" from-port="2" to-layer="443" to-port="0" />
 		<edge from-layer="442" from-port="0" to-layer="443" to-port="1" />
-		<edge from-layer="443" from-port="2" to-layer="446" to-port="0" />
-		<edge from-layer="444" from-port="0" to-layer="446" to-port="3" />
-		<edge from-layer="444" from-port="0" to-layer="446" to-port="1" />
-		<edge from-layer="445" from-port="0" to-layer="446" to-port="2" />
-		<edge from-layer="445" from-port="0" to-layer="446" to-port="4" />
-		<edge from-layer="446" from-port="5" to-layer="453" to-port="0" />
-		<edge from-layer="447" from-port="0" to-layer="448" to-port="0" />
-		<edge from-layer="448" from-port="1" to-layer="450" to-port="0" />
-		<edge from-layer="449" from-port="0" to-layer="450" to-port="1" />
-		<edge from-layer="450" from-port="2" to-layer="452" to-port="0" />
-		<edge from-layer="451" from-port="0" to-layer="452" to-port="1" />
-		<edge from-layer="452" from-port="2" to-layer="453" to-port="1" />
-		<edge from-layer="453" from-port="2" to-layer="454" to-port="1" />
-		<edge from-layer="454" from-port="2" to-layer="455" to-port="0" />
-		<edge from-layer="455" from-port="2" to-layer="457" to-port="0" />
-		<edge from-layer="455" from-port="2" to-layer="458" to-port="0" />
-		<edge from-layer="456" from-port="0" to-layer="457" to-port="1" />
-		<edge from-layer="457" from-port="2" to-layer="458" to-port="1" />
-		<edge from-layer="458" from-port="2" to-layer="466" to-port="0" />
+		<edge from-layer="443" from-port="2" to-layer="458" to-port="0" />
+		<edge from-layer="443" from-port="2" to-layer="444" to-port="0" />
+		<edge from-layer="443" from-port="2" to-layer="450" to-port="0" />
+		<edge from-layer="444" from-port="1" to-layer="447" to-port="0" />
+		<edge from-layer="445" from-port="0" to-layer="447" to-port="1" />
+		<edge from-layer="446" from-port="0" to-layer="447" to-port="2" />
+		<edge from-layer="447" from-port="3" to-layer="449" to-port="0" />
+		<edge from-layer="448" from-port="0" to-layer="449" to-port="1" />
+		<edge from-layer="449" from-port="2" to-layer="457" to-port="0" />
+		<edge from-layer="450" from-port="1" to-layer="453" to-port="0" />
+		<edge from-layer="451" from-port="0" to-layer="453" to-port="1" />
+		<edge from-layer="452" from-port="0" to-layer="453" to-port="2" />
+		<edge from-layer="453" from-port="3" to-layer="455" to-port="0" />
+		<edge from-layer="454" from-port="0" to-layer="455" to-port="1" />
+		<edge from-layer="455" from-port="2" to-layer="457" to-port="1" />
+		<edge from-layer="456" from-port="0" to-layer="457" to-port="2" />
+		<edge from-layer="457" from-port="3" to-layer="458" to-port="1" />
 		<edge from-layer="458" from-port="2" to-layer="460" to-port="0" />
 		<edge from-layer="459" from-port="0" to-layer="460" to-port="1" />
-		<edge from-layer="460" from-port="2" to-layer="462" to-port="0" />
-		<edge from-layer="461" from-port="0" to-layer="462" to-port="1" />
+		<edge from-layer="460" from-port="2" to-layer="461" to-port="1" />
+		<edge from-layer="461" from-port="2" to-layer="462" to-port="0" />
+		<edge from-layer="462" from-port="2" to-layer="465" to-port="0" />
 		<edge from-layer="462" from-port="2" to-layer="464" to-port="0" />
 		<edge from-layer="463" from-port="0" to-layer="464" to-port="1" />
-		<edge from-layer="464" from-port="2" to-layer="465" to-port="0" />
-		<edge from-layer="465" from-port="1" to-layer="466" to-port="1" />
-		<edge from-layer="466" from-port="2" to-layer="468" to-port="0" />
-		<edge from-layer="467" from-port="0" to-layer="468" to-port="1" />
-		<edge from-layer="468" from-port="2" to-layer="470" to-port="0" />
-		<edge from-layer="469" from-port="0" to-layer="470" to-port="1" />
-		<edge from-layer="470" from-port="2" to-layer="473" to-port="0" />
-		<edge from-layer="470" from-port="2" to-layer="504" to-port="0" />
-		<edge from-layer="470" from-port="2" to-layer="540" to-port="0" />
-		<edge from-layer="470" from-port="2" to-layer="596" to-port="1" />
-		<edge from-layer="471" from-port="0" to-layer="504" to-port="3" />
-		<edge from-layer="471" from-port="0" to-layer="473" to-port="1" />
-		<edge from-layer="471" from-port="0" to-layer="473" to-port="3" />
-		<edge from-layer="471" from-port="0" to-layer="540" to-port="3" />
-		<edge from-layer="471" from-port="0" to-layer="540" to-port="1" />
-		<edge from-layer="471" from-port="0" to-layer="504" to-port="1" />
-		<edge from-layer="472" from-port="0" to-layer="540" to-port="4" />
-		<edge from-layer="472" from-port="0" to-layer="540" to-port="2" />
-		<edge from-layer="472" from-port="0" to-layer="504" to-port="4" />
-		<edge from-layer="472" from-port="0" to-layer="473" to-port="4" />
-		<edge from-layer="472" from-port="0" to-layer="504" to-port="2" />
-		<edge from-layer="472" from-port="0" to-layer="473" to-port="2" />
-		<edge from-layer="473" from-port="5" to-layer="480" to-port="0" />
-		<edge from-layer="474" from-port="0" to-layer="475" to-port="0" />
-		<edge from-layer="475" from-port="1" to-layer="477" to-port="0" />
+		<edge from-layer="464" from-port="2" to-layer="465" to-port="1" />
+		<edge from-layer="465" from-port="2" to-layer="467" to-port="0" />
+		<edge from-layer="465" from-port="2" to-layer="473" to-port="0" />
+		<edge from-layer="466" from-port="0" to-layer="467" to-port="1" />
+		<edge from-layer="467" from-port="2" to-layer="469" to-port="0" />
+		<edge from-layer="468" from-port="0" to-layer="469" to-port="1" />
+		<edge from-layer="469" from-port="2" to-layer="471" to-port="0" />
+		<edge from-layer="470" from-port="0" to-layer="471" to-port="1" />
+		<edge from-layer="471" from-port="2" to-layer="472" to-port="0" />
+		<edge from-layer="472" from-port="1" to-layer="473" to-port="1" />
+		<edge from-layer="473" from-port="2" to-layer="475" to-port="0" />
+		<edge from-layer="474" from-port="0" to-layer="475" to-port="1" />
+		<edge from-layer="475" from-port="2" to-layer="477" to-port="0" />
 		<edge from-layer="476" from-port="0" to-layer="477" to-port="1" />
 		<edge from-layer="477" from-port="2" to-layer="479" to-port="0" />
+		<edge from-layer="477" from-port="2" to-layer="492" to-port="1" />
 		<edge from-layer="478" from-port="0" to-layer="479" to-port="1" />
 		<edge from-layer="479" from-port="2" to-layer="480" to-port="1" />
-		<edge from-layer="480" from-port="2" to-layer="481" to-port="1" />
-		<edge from-layer="481" from-port="2" to-layer="484" to-port="0" />
-		<edge from-layer="482" from-port="0" to-layer="484" to-port="1" />
-		<edge from-layer="482" from-port="0" to-layer="484" to-port="3" />
-		<edge from-layer="483" from-port="0" to-layer="484" to-port="4" />
-		<edge from-layer="483" from-port="0" to-layer="484" to-port="2" />
-		<edge from-layer="484" from-port="5" to-layer="485" to-port="0" />
-		<edge from-layer="484" from-port="5" to-layer="491" to-port="0" />
-		<edge from-layer="484" from-port="5" to-layer="500" to-port="0" />
-		<edge from-layer="485" from-port="1" to-layer="488" to-port="0" />
-		<edge from-layer="486" from-port="0" to-layer="488" to-port="1" />
-		<edge from-layer="487" from-port="0" to-layer="488" to-port="2" />
-		<edge from-layer="488" from-port="3" to-layer="490" to-port="0" />
+		<edge from-layer="480" from-port="2" to-layer="486" to-port="0" />
+		<edge from-layer="480" from-port="2" to-layer="482" to-port="0" />
+		<edge from-layer="481" from-port="0" to-layer="482" to-port="1" />
+		<edge from-layer="482" from-port="2" to-layer="483" to-port="0" />
+		<edge from-layer="483" from-port="1" to-layer="485" to-port="0" />
+		<edge from-layer="484" from-port="0" to-layer="485" to-port="1" />
+		<edge from-layer="485" from-port="2" to-layer="486" to-port="1" />
+		<edge from-layer="486" from-port="2" to-layer="488" to-port="0" />
+		<edge from-layer="487" from-port="0" to-layer="488" to-port="1" />
+		<edge from-layer="488" from-port="2" to-layer="490" to-port="0" />
 		<edge from-layer="489" from-port="0" to-layer="490" to-port="1" />
-		<edge from-layer="490" from-port="2" to-layer="499" to-port="0" />
-		<edge from-layer="491" from-port="1" to-layer="494" to-port="0" />
-		<edge from-layer="492" from-port="0" to-layer="494" to-port="1" />
-		<edge from-layer="493" from-port="0" to-layer="494" to-port="2" />
-		<edge from-layer="494" from-port="3" to-layer="496" to-port="0" />
-		<edge from-layer="495" from-port="0" to-layer="496" to-port="1" />
-		<edge from-layer="496" from-port="2" to-layer="499" to-port="1" />
-		<edge from-layer="497" from-port="0" to-layer="499" to-port="2" />
-		<edge from-layer="498" from-port="0" to-layer="499" to-port="3" />
-		<edge from-layer="499" from-port="4" to-layer="500" to-port="1" />
-		<edge from-layer="500" from-port="2" to-layer="502" to-port="0" />
-		<edge from-layer="501" from-port="0" to-layer="502" to-port="1" />
-		<edge from-layer="502" from-port="2" to-layer="534" to-port="0" />
-		<edge from-layer="503" from-port="0" to-layer="512" to-port="0" />
-		<edge from-layer="504" from-port="5" to-layer="511" to-port="0" />
-		<edge from-layer="505" from-port="0" to-layer="506" to-port="0" />
-		<edge from-layer="506" from-port="1" to-layer="508" to-port="0" />
-		<edge from-layer="507" from-port="0" to-layer="508" to-port="1" />
-		<edge from-layer="508" from-port="2" to-layer="510" to-port="0" />
-		<edge from-layer="509" from-port="0" to-layer="510" to-port="1" />
-		<edge from-layer="510" from-port="2" to-layer="511" to-port="1" />
-		<edge from-layer="511" from-port="2" to-layer="512" to-port="1" />
-		<edge from-layer="512" from-port="2" to-layer="515" to-port="0" />
-		<edge from-layer="513" from-port="0" to-layer="515" to-port="1" />
-		<edge from-layer="513" from-port="0" to-layer="515" to-port="3" />
-		<edge from-layer="514" from-port="0" to-layer="515" to-port="2" />
-		<edge from-layer="514" from-port="0" to-layer="515" to-port="4" />
-		<edge from-layer="515" from-port="5" to-layer="516" to-port="0" />
-		<edge from-layer="515" from-port="5" to-layer="531" to-port="0" />
-		<edge from-layer="515" from-port="5" to-layer="522" to-port="0" />
-		<edge from-layer="516" from-port="1" to-layer="519" to-port="0" />
-		<edge from-layer="517" from-port="0" to-layer="519" to-port="1" />
-		<edge from-layer="518" from-port="0" to-layer="519" to-port="2" />
-		<edge from-layer="519" from-port="3" to-layer="521" to-port="0" />
-		<edge from-layer="520" from-port="0" to-layer="521" to-port="1" />
-		<edge from-layer="521" from-port="2" to-layer="530" to-port="0" />
-		<edge from-layer="522" from-port="1" to-layer="525" to-port="0" />
-		<edge from-layer="523" from-port="0" to-layer="525" to-port="1" />
-		<edge from-layer="524" from-port="0" to-layer="525" to-port="2" />
-		<edge from-layer="525" from-port="3" to-layer="527" to-port="0" />
-		<edge from-layer="526" from-port="0" to-layer="527" to-port="1" />
-		<edge from-layer="527" from-port="2" to-layer="530" to-port="1" />
-		<edge from-layer="528" from-port="0" to-layer="530" to-port="2" />
-		<edge from-layer="529" from-port="0" to-layer="530" to-port="3" />
-		<edge from-layer="530" from-port="4" to-layer="531" to-port="1" />
-		<edge from-layer="531" from-port="2" to-layer="533" to-port="0" />
-		<edge from-layer="532" from-port="0" to-layer="533" to-port="1" />
-		<edge from-layer="533" from-port="2" to-layer="534" to-port="1" />
-		<edge from-layer="534" from-port="2" to-layer="536" to-port="0" />
-		<edge from-layer="535" from-port="0" to-layer="536" to-port="1" />
-		<edge from-layer="536" from-port="2" to-layer="537" to-port="0" />
-		<edge from-layer="537" from-port="2" to-layer="538" to-port="0" />
-		<edge from-layer="538" from-port="1" to-layer="567" to-port="0" />
-		<edge from-layer="539" from-port="0" to-layer="548" to-port="0" />
-		<edge from-layer="540" from-port="5" to-layer="547" to-port="0" />
-		<edge from-layer="541" from-port="0" to-layer="542" to-port="0" />
-		<edge from-layer="542" from-port="1" to-layer="544" to-port="0" />
+		<edge from-layer="490" from-port="2" to-layer="491" to-port="1" />
+		<edge from-layer="491" from-port="2" to-layer="492" to-port="0" />
+		<edge from-layer="492" from-port="2" to-layer="495" to-port="0" />
+		<edge from-layer="492" from-port="2" to-layer="494" to-port="0" />
+		<edge from-layer="493" from-port="0" to-layer="494" to-port="1" />
+		<edge from-layer="494" from-port="2" to-layer="495" to-port="1" />
+		<edge from-layer="495" from-port="2" to-layer="497" to-port="0" />
+		<edge from-layer="495" from-port="2" to-layer="503" to-port="0" />
+		<edge from-layer="496" from-port="0" to-layer="497" to-port="1" />
+		<edge from-layer="497" from-port="2" to-layer="499" to-port="0" />
+		<edge from-layer="498" from-port="0" to-layer="499" to-port="1" />
+		<edge from-layer="499" from-port="2" to-layer="501" to-port="0" />
+		<edge from-layer="500" from-port="0" to-layer="501" to-port="1" />
+		<edge from-layer="501" from-port="2" to-layer="502" to-port="0" />
+		<edge from-layer="502" from-port="1" to-layer="503" to-port="1" />
+		<edge from-layer="503" from-port="2" to-layer="505" to-port="0" />
+		<edge from-layer="504" from-port="0" to-layer="505" to-port="1" />
+		<edge from-layer="505" from-port="2" to-layer="507" to-port="0" />
+		<edge from-layer="506" from-port="0" to-layer="507" to-port="1" />
+		<edge from-layer="507" from-port="2" to-layer="599" to-port="1" />
+		<edge from-layer="507" from-port="2" to-layer="531" to-port="0" />
+		<edge from-layer="507" from-port="2" to-layer="509" to-port="0" />
+		<edge from-layer="507" from-port="2" to-layer="558" to-port="0" />
+		<edge from-layer="508" from-port="0" to-layer="509" to-port="1" />
+		<edge from-layer="509" from-port="2" to-layer="510" to-port="1" />
+		<edge from-layer="510" from-port="2" to-layer="526" to-port="0" />
+		<edge from-layer="510" from-port="2" to-layer="511" to-port="0" />
+		<edge from-layer="510" from-port="2" to-layer="517" to-port="0" />
+		<edge from-layer="511" from-port="1" to-layer="514" to-port="0" />
+		<edge from-layer="512" from-port="0" to-layer="514" to-port="1" />
+		<edge from-layer="513" from-port="0" to-layer="514" to-port="2" />
+		<edge from-layer="514" from-port="3" to-layer="516" to-port="0" />
+		<edge from-layer="515" from-port="0" to-layer="516" to-port="1" />
+		<edge from-layer="516" from-port="2" to-layer="525" to-port="0" />
+		<edge from-layer="517" from-port="1" to-layer="520" to-port="0" />
+		<edge from-layer="518" from-port="0" to-layer="520" to-port="1" />
+		<edge from-layer="519" from-port="0" to-layer="520" to-port="2" />
+		<edge from-layer="520" from-port="3" to-layer="522" to-port="0" />
+		<edge from-layer="521" from-port="0" to-layer="522" to-port="1" />
+		<edge from-layer="522" from-port="2" to-layer="525" to-port="1" />
+		<edge from-layer="523" from-port="0" to-layer="525" to-port="2" />
+		<edge from-layer="524" from-port="0" to-layer="525" to-port="3" />
+		<edge from-layer="525" from-port="4" to-layer="526" to-port="1" />
+		<edge from-layer="526" from-port="2" to-layer="528" to-port="0" />
+		<edge from-layer="527" from-port="0" to-layer="528" to-port="1" />
+		<edge from-layer="528" from-port="2" to-layer="551" to-port="0" />
+		<edge from-layer="529" from-port="0" to-layer="532" to-port="0" />
+		<edge from-layer="530" from-port="0" to-layer="531" to-port="1" />
+		<edge from-layer="531" from-port="2" to-layer="532" to-port="1" />
+		<edge from-layer="532" from-port="2" to-layer="548" to-port="0" />
+		<edge from-layer="532" from-port="2" to-layer="539" to-port="0" />
+		<edge from-layer="532" from-port="2" to-layer="533" to-port="0" />
+		<edge from-layer="533" from-port="1" to-layer="536" to-port="0" />
+		<edge from-layer="534" from-port="0" to-layer="536" to-port="1" />
+		<edge from-layer="535" from-port="0" to-layer="536" to-port="2" />
+		<edge from-layer="536" from-port="3" to-layer="538" to-port="0" />
+		<edge from-layer="537" from-port="0" to-layer="538" to-port="1" />
+		<edge from-layer="538" from-port="2" to-layer="547" to-port="0" />
+		<edge from-layer="539" from-port="1" to-layer="542" to-port="0" />
+		<edge from-layer="540" from-port="0" to-layer="542" to-port="1" />
+		<edge from-layer="541" from-port="0" to-layer="542" to-port="2" />
+		<edge from-layer="542" from-port="3" to-layer="544" to-port="0" />
 		<edge from-layer="543" from-port="0" to-layer="544" to-port="1" />
-		<edge from-layer="544" from-port="2" to-layer="546" to-port="0" />
-		<edge from-layer="545" from-port="0" to-layer="546" to-port="1" />
-		<edge from-layer="546" from-port="2" to-layer="547" to-port="1" />
-		<edge from-layer="547" from-port="2" to-layer="548" to-port="1" />
-		<edge from-layer="548" from-port="2" to-layer="564" to-port="0" />
-		<edge from-layer="548" from-port="2" to-layer="555" to-port="0" />
-		<edge from-layer="548" from-port="2" to-layer="549" to-port="0" />
-		<edge from-layer="549" from-port="1" to-layer="552" to-port="0" />
-		<edge from-layer="550" from-port="0" to-layer="552" to-port="1" />
-		<edge from-layer="551" from-port="0" to-layer="552" to-port="2" />
-		<edge from-layer="552" from-port="3" to-layer="554" to-port="0" />
-		<edge from-layer="553" from-port="0" to-layer="554" to-port="1" />
-		<edge from-layer="554" from-port="2" to-layer="563" to-port="0" />
-		<edge from-layer="555" from-port="1" to-layer="558" to-port="0" />
-		<edge from-layer="556" from-port="0" to-layer="558" to-port="1" />
-		<edge from-layer="557" from-port="0" to-layer="558" to-port="2" />
-		<edge from-layer="558" from-port="3" to-layer="560" to-port="0" />
-		<edge from-layer="559" from-port="0" to-layer="560" to-port="1" />
-		<edge from-layer="560" from-port="2" to-layer="563" to-port="1" />
-		<edge from-layer="561" from-port="0" to-layer="563" to-port="2" />
-		<edge from-layer="562" from-port="0" to-layer="563" to-port="3" />
-		<edge from-layer="563" from-port="4" to-layer="564" to-port="1" />
-		<edge from-layer="564" from-port="2" to-layer="566" to-port="0" />
-		<edge from-layer="565" from-port="0" to-layer="566" to-port="1" />
-		<edge from-layer="566" from-port="2" to-layer="567" to-port="1" />
-		<edge from-layer="567" from-port="2" to-layer="570" to-port="0" />
-		<edge from-layer="568" from-port="0" to-layer="570" to-port="1" />
-		<edge from-layer="568" from-port="0" to-layer="570" to-port="3" />
-		<edge from-layer="569" from-port="0" to-layer="570" to-port="2" />
-		<edge from-layer="569" from-port="0" to-layer="570" to-port="4" />
-		<edge from-layer="570" from-port="5" to-layer="572" to-port="0" />
-		<edge from-layer="571" from-port="0" to-layer="572" to-port="1" />
-		<edge from-layer="572" from-port="2" to-layer="573" to-port="0" />
-		<edge from-layer="572" from-port="2" to-layer="579" to-port="0" />
-		<edge from-layer="572" from-port="2" to-layer="587" to-port="0" />
-		<edge from-layer="573" from-port="1" to-layer="576" to-port="0" />
-		<edge from-layer="574" from-port="0" to-layer="576" to-port="1" />
-		<edge from-layer="575" from-port="0" to-layer="576" to-port="2" />
-		<edge from-layer="576" from-port="3" to-layer="578" to-port="0" />
-		<edge from-layer="577" from-port="0" to-layer="578" to-port="1" />
-		<edge from-layer="578" from-port="2" to-layer="586" to-port="0" />
-		<edge from-layer="579" from-port="1" to-layer="582" to-port="0" />
-		<edge from-layer="580" from-port="0" to-layer="582" to-port="1" />
-		<edge from-layer="581" from-port="0" to-layer="582" to-port="2" />
-		<edge from-layer="582" from-port="3" to-layer="584" to-port="0" />
-		<edge from-layer="583" from-port="0" to-layer="584" to-port="1" />
-		<edge from-layer="584" from-port="2" to-layer="586" to-port="1" />
-		<edge from-layer="585" from-port="0" to-layer="586" to-port="2" />
-		<edge from-layer="586" from-port="3" to-layer="587" to-port="1" />
-		<edge from-layer="587" from-port="2" to-layer="594" to-port="0" />
-		<edge from-layer="588" from-port="0" to-layer="589" to-port="0" />
-		<edge from-layer="589" from-port="1" to-layer="591" to-port="0" />
-		<edge from-layer="590" from-port="0" to-layer="591" to-port="1" />
-		<edge from-layer="591" from-port="2" to-layer="593" to-port="0" />
-		<edge from-layer="592" from-port="0" to-layer="593" to-port="1" />
-		<edge from-layer="593" from-port="2" to-layer="594" to-port="1" />
-		<edge from-layer="594" from-port="2" to-layer="595" to-port="1" />
-		<edge from-layer="595" from-port="2" to-layer="596" to-port="0" />
-		<edge from-layer="596" from-port="2" to-layer="598" to-port="0" />
-		<edge from-layer="596" from-port="2" to-layer="599" to-port="0" />
-		<edge from-layer="597" from-port="0" to-layer="598" to-port="1" />
-		<edge from-layer="598" from-port="2" to-layer="599" to-port="1" />
+		<edge from-layer="544" from-port="2" to-layer="547" to-port="1" />
+		<edge from-layer="545" from-port="0" to-layer="547" to-port="2" />
+		<edge from-layer="546" from-port="0" to-layer="547" to-port="3" />
+		<edge from-layer="547" from-port="4" to-layer="548" to-port="1" />
+		<edge from-layer="548" from-port="2" to-layer="550" to-port="0" />
+		<edge from-layer="549" from-port="0" to-layer="550" to-port="1" />
+		<edge from-layer="550" from-port="2" to-layer="551" to-port="1" />
+		<edge from-layer="551" from-port="2" to-layer="553" to-port="0" />
+		<edge from-layer="552" from-port="0" to-layer="553" to-port="1" />
+		<edge from-layer="553" from-port="2" to-layer="554" to-port="0" />
+		<edge from-layer="554" from-port="2" to-layer="555" to-port="0" />
+		<edge from-layer="555" from-port="1" to-layer="578" to-port="0" />
+		<edge from-layer="556" from-port="0" to-layer="559" to-port="0" />
+		<edge from-layer="557" from-port="0" to-layer="558" to-port="1" />
+		<edge from-layer="558" from-port="2" to-layer="559" to-port="1" />
+		<edge from-layer="559" from-port="2" to-layer="575" to-port="0" />
+		<edge from-layer="559" from-port="2" to-layer="560" to-port="0" />
+		<edge from-layer="559" from-port="2" to-layer="566" to-port="0" />
+		<edge from-layer="560" from-port="1" to-layer="563" to-port="0" />
+		<edge from-layer="561" from-port="0" to-layer="563" to-port="1" />
+		<edge from-layer="562" from-port="0" to-layer="563" to-port="2" />
+		<edge from-layer="563" from-port="3" to-layer="565" to-port="0" />
+		<edge from-layer="564" from-port="0" to-layer="565" to-port="1" />
+		<edge from-layer="565" from-port="2" to-layer="574" to-port="0" />
+		<edge from-layer="566" from-port="1" to-layer="569" to-port="0" />
+		<edge from-layer="567" from-port="0" to-layer="569" to-port="1" />
+		<edge from-layer="568" from-port="0" to-layer="569" to-port="2" />
+		<edge from-layer="569" from-port="3" to-layer="571" to-port="0" />
+		<edge from-layer="570" from-port="0" to-layer="571" to-port="1" />
+		<edge from-layer="571" from-port="2" to-layer="574" to-port="1" />
+		<edge from-layer="572" from-port="0" to-layer="574" to-port="2" />
+		<edge from-layer="573" from-port="0" to-layer="574" to-port="3" />
+		<edge from-layer="574" from-port="4" to-layer="575" to-port="1" />
+		<edge from-layer="575" from-port="2" to-layer="577" to-port="0" />
+		<edge from-layer="576" from-port="0" to-layer="577" to-port="1" />
+		<edge from-layer="577" from-port="2" to-layer="578" to-port="1" />
+		<edge from-layer="578" from-port="2" to-layer="580" to-port="0" />
+		<edge from-layer="579" from-port="0" to-layer="580" to-port="1" />
+		<edge from-layer="580" from-port="2" to-layer="595" to-port="0" />
+		<edge from-layer="580" from-port="2" to-layer="587" to-port="0" />
+		<edge from-layer="580" from-port="2" to-layer="581" to-port="0" />
+		<edge from-layer="581" from-port="1" to-layer="584" to-port="0" />
+		<edge from-layer="582" from-port="0" to-layer="584" to-port="1" />
+		<edge from-layer="583" from-port="0" to-layer="584" to-port="2" />
+		<edge from-layer="584" from-port="3" to-layer="586" to-port="0" />
+		<edge from-layer="585" from-port="0" to-layer="586" to-port="1" />
+		<edge from-layer="586" from-port="2" to-layer="594" to-port="0" />
+		<edge from-layer="587" from-port="1" to-layer="590" to-port="0" />
+		<edge from-layer="588" from-port="0" to-layer="590" to-port="1" />
+		<edge from-layer="589" from-port="0" to-layer="590" to-port="2" />
+		<edge from-layer="590" from-port="3" to-layer="592" to-port="0" />
+		<edge from-layer="591" from-port="0" to-layer="592" to-port="1" />
+		<edge from-layer="592" from-port="2" to-layer="594" to-port="1" />
+		<edge from-layer="593" from-port="0" to-layer="594" to-port="2" />
+		<edge from-layer="594" from-port="3" to-layer="595" to-port="1" />
+		<edge from-layer="595" from-port="2" to-layer="597" to-port="0" />
+		<edge from-layer="596" from-port="0" to-layer="597" to-port="1" />
+		<edge from-layer="597" from-port="2" to-layer="598" to-port="1" />
+		<edge from-layer="598" from-port="2" to-layer="599" to-port="0" />
 		<edge from-layer="599" from-port="2" to-layer="601" to-port="0" />
-		<edge from-layer="599" from-port="2" to-layer="607" to-port="0" />
+		<edge from-layer="599" from-port="2" to-layer="602" to-port="0" />
 		<edge from-layer="600" from-port="0" to-layer="601" to-port="1" />
-		<edge from-layer="601" from-port="2" to-layer="603" to-port="0" />
-		<edge from-layer="602" from-port="0" to-layer="603" to-port="1" />
-		<edge from-layer="603" from-port="2" to-layer="605" to-port="0" />
-		<edge from-layer="604" from-port="0" to-layer="605" to-port="1" />
-		<edge from-layer="605" from-port="2" to-layer="606" to-port="0" />
-		<edge from-layer="606" from-port="1" to-layer="607" to-port="1" />
-		<edge from-layer="607" from-port="2" to-layer="609" to-port="0" />
-		<edge from-layer="608" from-port="0" to-layer="609" to-port="1" />
-		<edge from-layer="609" from-port="2" to-layer="611" to-port="0" />
-		<edge from-layer="610" from-port="0" to-layer="611" to-port="1" />
-		<edge from-layer="611" from-port="2" to-layer="642" to-port="1" />
-		<edge from-layer="611" from-port="2" to-layer="614" to-port="0" />
-		<edge from-layer="612" from-port="0" to-layer="614" to-port="1" />
-		<edge from-layer="612" from-port="0" to-layer="614" to-port="3" />
-		<edge from-layer="613" from-port="0" to-layer="614" to-port="2" />
-		<edge from-layer="613" from-port="0" to-layer="614" to-port="4" />
-		<edge from-layer="614" from-port="5" to-layer="621" to-port="0" />
-		<edge from-layer="615" from-port="0" to-layer="616" to-port="0" />
-		<edge from-layer="616" from-port="1" to-layer="618" to-port="0" />
-		<edge from-layer="617" from-port="0" to-layer="618" to-port="1" />
-		<edge from-layer="618" from-port="2" to-layer="620" to-port="0" />
-		<edge from-layer="619" from-port="0" to-layer="620" to-port="1" />
-		<edge from-layer="620" from-port="2" to-layer="621" to-port="1" />
-		<edge from-layer="621" from-port="2" to-layer="622" to-port="1" />
-		<edge from-layer="622" from-port="2" to-layer="628" to-port="0" />
-		<edge from-layer="622" from-port="2" to-layer="624" to-port="0" />
-		<edge from-layer="623" from-port="0" to-layer="624" to-port="1" />
-		<edge from-layer="624" from-port="2" to-layer="625" to-port="0" />
-		<edge from-layer="625" from-port="1" to-layer="627" to-port="0" />
+		<edge from-layer="601" from-port="2" to-layer="602" to-port="1" />
+		<edge from-layer="602" from-port="2" to-layer="604" to-port="0" />
+		<edge from-layer="602" from-port="2" to-layer="610" to-port="0" />
+		<edge from-layer="603" from-port="0" to-layer="604" to-port="1" />
+		<edge from-layer="604" from-port="2" to-layer="606" to-port="0" />
+		<edge from-layer="605" from-port="0" to-layer="606" to-port="1" />
+		<edge from-layer="606" from-port="2" to-layer="608" to-port="0" />
+		<edge from-layer="607" from-port="0" to-layer="608" to-port="1" />
+		<edge from-layer="608" from-port="2" to-layer="609" to-port="0" />
+		<edge from-layer="609" from-port="1" to-layer="610" to-port="1" />
+		<edge from-layer="610" from-port="2" to-layer="612" to-port="0" />
+		<edge from-layer="611" from-port="0" to-layer="612" to-port="1" />
+		<edge from-layer="612" from-port="2" to-layer="614" to-port="0" />
+		<edge from-layer="613" from-port="0" to-layer="614" to-port="1" />
+		<edge from-layer="614" from-port="2" to-layer="616" to-port="0" />
+		<edge from-layer="614" from-port="2" to-layer="629" to-port="1" />
+		<edge from-layer="615" from-port="0" to-layer="616" to-port="1" />
+		<edge from-layer="616" from-port="2" to-layer="617" to-port="1" />
+		<edge from-layer="617" from-port="2" to-layer="619" to-port="0" />
+		<edge from-layer="617" from-port="2" to-layer="623" to-port="0" />
+		<edge from-layer="618" from-port="0" to-layer="619" to-port="1" />
+		<edge from-layer="619" from-port="2" to-layer="620" to-port="0" />
+		<edge from-layer="620" from-port="1" to-layer="622" to-port="0" />
+		<edge from-layer="621" from-port="0" to-layer="622" to-port="1" />
+		<edge from-layer="622" from-port="2" to-layer="623" to-port="1" />
+		<edge from-layer="623" from-port="2" to-layer="625" to-port="0" />
+		<edge from-layer="624" from-port="0" to-layer="625" to-port="1" />
+		<edge from-layer="625" from-port="2" to-layer="627" to-port="0" />
 		<edge from-layer="626" from-port="0" to-layer="627" to-port="1" />
 		<edge from-layer="627" from-port="2" to-layer="628" to-port="1" />
-		<edge from-layer="628" from-port="2" to-layer="630" to-port="0" />
-		<edge from-layer="629" from-port="0" to-layer="630" to-port="1" />
-		<edge from-layer="630" from-port="2" to-layer="633" to-port="0" />
-		<edge from-layer="631" from-port="0" to-layer="633" to-port="1" />
-		<edge from-layer="631" from-port="0" to-layer="633" to-port="3" />
-		<edge from-layer="632" from-port="0" to-layer="633" to-port="2" />
-		<edge from-layer="632" from-port="0" to-layer="633" to-port="4" />
-		<edge from-layer="633" from-port="5" to-layer="640" to-port="0" />
-		<edge from-layer="634" from-port="0" to-layer="635" to-port="0" />
-		<edge from-layer="635" from-port="1" to-layer="637" to-port="0" />
-		<edge from-layer="636" from-port="0" to-layer="637" to-port="1" />
-		<edge from-layer="637" from-port="2" to-layer="639" to-port="0" />
-		<edge from-layer="638" from-port="0" to-layer="639" to-port="1" />
-		<edge from-layer="639" from-port="2" to-layer="640" to-port="1" />
-		<edge from-layer="640" from-port="2" to-layer="641" to-port="1" />
-		<edge from-layer="641" from-port="2" to-layer="642" to-port="0" />
+		<edge from-layer="628" from-port="2" to-layer="629" to-port="0" />
+		<edge from-layer="629" from-port="2" to-layer="631" to-port="0" />
+		<edge from-layer="629" from-port="2" to-layer="632" to-port="0" />
+		<edge from-layer="630" from-port="0" to-layer="631" to-port="1" />
+		<edge from-layer="631" from-port="2" to-layer="632" to-port="1" />
+		<edge from-layer="632" from-port="2" to-layer="640" to-port="0" />
+		<edge from-layer="632" from-port="2" to-layer="634" to-port="0" />
+		<edge from-layer="633" from-port="0" to-layer="634" to-port="1" />
+		<edge from-layer="634" from-port="2" to-layer="636" to-port="0" />
+		<edge from-layer="635" from-port="0" to-layer="636" to-port="1" />
+		<edge from-layer="636" from-port="2" to-layer="638" to-port="0" />
+		<edge from-layer="637" from-port="0" to-layer="638" to-port="1" />
+		<edge from-layer="638" from-port="2" to-layer="639" to-port="0" />
+		<edge from-layer="639" from-port="1" to-layer="640" to-port="1" />
+		<edge from-layer="640" from-port="2" to-layer="642" to-port="0" />
+		<edge from-layer="641" from-port="0" to-layer="642" to-port="1" />
 		<edge from-layer="642" from-port="2" to-layer="644" to-port="0" />
-		<edge from-layer="642" from-port="2" to-layer="645" to-port="0" />
 		<edge from-layer="643" from-port="0" to-layer="644" to-port="1" />
-		<edge from-layer="644" from-port="2" to-layer="645" to-port="1" />
-		<edge from-layer="645" from-port="2" to-layer="647" to-port="0" />
-		<edge from-layer="645" from-port="2" to-layer="653" to-port="0" />
-		<edge from-layer="646" from-port="0" to-layer="647" to-port="1" />
-		<edge from-layer="647" from-port="2" to-layer="649" to-port="0" />
-		<edge from-layer="648" from-port="0" to-layer="649" to-port="1" />
-		<edge from-layer="649" from-port="2" to-layer="651" to-port="0" />
-		<edge from-layer="650" from-port="0" to-layer="651" to-port="1" />
-		<edge from-layer="651" from-port="2" to-layer="652" to-port="0" />
-		<edge from-layer="652" from-port="1" to-layer="653" to-port="1" />
-		<edge from-layer="653" from-port="2" to-layer="655" to-port="0" />
-		<edge from-layer="654" from-port="0" to-layer="655" to-port="1" />
-		<edge from-layer="655" from-port="2" to-layer="657" to-port="0" />
-		<edge from-layer="656" from-port="0" to-layer="657" to-port="1" />
-		<edge from-layer="657" from-port="2" to-layer="783" to-port="1" />
-		<edge from-layer="657" from-port="2" to-layer="727" to-port="0" />
-		<edge from-layer="657" from-port="2" to-layer="691" to-port="0" />
-		<edge from-layer="657" from-port="2" to-layer="660" to-port="0" />
-		<edge from-layer="658" from-port="0" to-layer="727" to-port="1" />
-		<edge from-layer="658" from-port="0" to-layer="660" to-port="1" />
-		<edge from-layer="658" from-port="0" to-layer="727" to-port="3" />
-		<edge from-layer="658" from-port="0" to-layer="691" to-port="3" />
-		<edge from-layer="658" from-port="0" to-layer="691" to-port="1" />
-		<edge from-layer="658" from-port="0" to-layer="660" to-port="3" />
-		<edge from-layer="659" from-port="0" to-layer="727" to-port="4" />
-		<edge from-layer="659" from-port="0" to-layer="727" to-port="2" />
-		<edge from-layer="659" from-port="0" to-layer="691" to-port="2" />
-		<edge from-layer="659" from-port="0" to-layer="691" to-port="4" />
-		<edge from-layer="659" from-port="0" to-layer="660" to-port="4" />
-		<edge from-layer="659" from-port="0" to-layer="660" to-port="2" />
-		<edge from-layer="660" from-port="5" to-layer="667" to-port="0" />
-		<edge from-layer="661" from-port="0" to-layer="662" to-port="0" />
-		<edge from-layer="662" from-port="1" to-layer="664" to-port="0" />
-		<edge from-layer="663" from-port="0" to-layer="664" to-port="1" />
-		<edge from-layer="664" from-port="2" to-layer="666" to-port="0" />
-		<edge from-layer="665" from-port="0" to-layer="666" to-port="1" />
-		<edge from-layer="666" from-port="2" to-layer="667" to-port="1" />
-		<edge from-layer="667" from-port="2" to-layer="668" to-port="1" />
-		<edge from-layer="668" from-port="2" to-layer="671" to-port="0" />
-		<edge from-layer="669" from-port="0" to-layer="671" to-port="1" />
-		<edge from-layer="669" from-port="0" to-layer="671" to-port="3" />
-		<edge from-layer="670" from-port="0" to-layer="671" to-port="2" />
-		<edge from-layer="670" from-port="0" to-layer="671" to-port="4" />
-		<edge from-layer="671" from-port="5" to-layer="672" to-port="0" />
-		<edge from-layer="671" from-port="5" to-layer="678" to-port="0" />
-		<edge from-layer="671" from-port="5" to-layer="687" to-port="0" />
-		<edge from-layer="672" from-port="1" to-layer="675" to-port="0" />
-		<edge from-layer="673" from-port="0" to-layer="675" to-port="1" />
-		<edge from-layer="674" from-port="0" to-layer="675" to-port="2" />
-		<edge from-layer="675" from-port="3" to-layer="677" to-port="0" />
-		<edge from-layer="676" from-port="0" to-layer="677" to-port="1" />
-		<edge from-layer="677" from-port="2" to-layer="686" to-port="0" />
-		<edge from-layer="678" from-port="1" to-layer="681" to-port="0" />
-		<edge from-layer="679" from-port="0" to-layer="681" to-port="1" />
-		<edge from-layer="680" from-port="0" to-layer="681" to-port="2" />
-		<edge from-layer="681" from-port="3" to-layer="683" to-port="0" />
-		<edge from-layer="682" from-port="0" to-layer="683" to-port="1" />
-		<edge from-layer="683" from-port="2" to-layer="686" to-port="1" />
-		<edge from-layer="684" from-port="0" to-layer="686" to-port="2" />
-		<edge from-layer="685" from-port="0" to-layer="686" to-port="3" />
-		<edge from-layer="686" from-port="4" to-layer="687" to-port="1" />
-		<edge from-layer="687" from-port="2" to-layer="689" to-port="0" />
-		<edge from-layer="688" from-port="0" to-layer="689" to-port="1" />
-		<edge from-layer="689" from-port="2" to-layer="721" to-port="0" />
-		<edge from-layer="690" from-port="0" to-layer="699" to-port="0" />
-		<edge from-layer="691" from-port="5" to-layer="698" to-port="0" />
-		<edge from-layer="692" from-port="0" to-layer="693" to-port="0" />
-		<edge from-layer="693" from-port="1" to-layer="695" to-port="0" />
+		<edge from-layer="644" from-port="2" to-layer="646" to-port="0" />
+		<edge from-layer="644" from-port="2" to-layer="668" to-port="0" />
+		<edge from-layer="644" from-port="2" to-layer="736" to-port="1" />
+		<edge from-layer="644" from-port="2" to-layer="695" to-port="0" />
+		<edge from-layer="645" from-port="0" to-layer="646" to-port="1" />
+		<edge from-layer="646" from-port="2" to-layer="647" to-port="1" />
+		<edge from-layer="647" from-port="2" to-layer="663" to-port="0" />
+		<edge from-layer="647" from-port="2" to-layer="654" to-port="0" />
+		<edge from-layer="647" from-port="2" to-layer="648" to-port="0" />
+		<edge from-layer="648" from-port="1" to-layer="651" to-port="0" />
+		<edge from-layer="649" from-port="0" to-layer="651" to-port="1" />
+		<edge from-layer="650" from-port="0" to-layer="651" to-port="2" />
+		<edge from-layer="651" from-port="3" to-layer="653" to-port="0" />
+		<edge from-layer="652" from-port="0" to-layer="653" to-port="1" />
+		<edge from-layer="653" from-port="2" to-layer="662" to-port="0" />
+		<edge from-layer="654" from-port="1" to-layer="657" to-port="0" />
+		<edge from-layer="655" from-port="0" to-layer="657" to-port="1" />
+		<edge from-layer="656" from-port="0" to-layer="657" to-port="2" />
+		<edge from-layer="657" from-port="3" to-layer="659" to-port="0" />
+		<edge from-layer="658" from-port="0" to-layer="659" to-port="1" />
+		<edge from-layer="659" from-port="2" to-layer="662" to-port="1" />
+		<edge from-layer="660" from-port="0" to-layer="662" to-port="2" />
+		<edge from-layer="661" from-port="0" to-layer="662" to-port="3" />
+		<edge from-layer="662" from-port="4" to-layer="663" to-port="1" />
+		<edge from-layer="663" from-port="2" to-layer="665" to-port="0" />
+		<edge from-layer="664" from-port="0" to-layer="665" to-port="1" />
+		<edge from-layer="665" from-port="2" to-layer="688" to-port="0" />
+		<edge from-layer="666" from-port="0" to-layer="669" to-port="0" />
+		<edge from-layer="667" from-port="0" to-layer="668" to-port="1" />
+		<edge from-layer="668" from-port="2" to-layer="669" to-port="1" />
+		<edge from-layer="669" from-port="2" to-layer="685" to-port="0" />
+		<edge from-layer="669" from-port="2" to-layer="670" to-port="0" />
+		<edge from-layer="669" from-port="2" to-layer="676" to-port="0" />
+		<edge from-layer="670" from-port="1" to-layer="673" to-port="0" />
+		<edge from-layer="671" from-port="0" to-layer="673" to-port="1" />
+		<edge from-layer="672" from-port="0" to-layer="673" to-port="2" />
+		<edge from-layer="673" from-port="3" to-layer="675" to-port="0" />
+		<edge from-layer="674" from-port="0" to-layer="675" to-port="1" />
+		<edge from-layer="675" from-port="2" to-layer="684" to-port="0" />
+		<edge from-layer="676" from-port="1" to-layer="679" to-port="0" />
+		<edge from-layer="677" from-port="0" to-layer="679" to-port="1" />
+		<edge from-layer="678" from-port="0" to-layer="679" to-port="2" />
+		<edge from-layer="679" from-port="3" to-layer="681" to-port="0" />
+		<edge from-layer="680" from-port="0" to-layer="681" to-port="1" />
+		<edge from-layer="681" from-port="2" to-layer="684" to-port="1" />
+		<edge from-layer="682" from-port="0" to-layer="684" to-port="2" />
+		<edge from-layer="683" from-port="0" to-layer="684" to-port="3" />
+		<edge from-layer="684" from-port="4" to-layer="685" to-port="1" />
+		<edge from-layer="685" from-port="2" to-layer="687" to-port="0" />
+		<edge from-layer="686" from-port="0" to-layer="687" to-port="1" />
+		<edge from-layer="687" from-port="2" to-layer="688" to-port="1" />
+		<edge from-layer="688" from-port="2" to-layer="690" to-port="0" />
+		<edge from-layer="689" from-port="0" to-layer="690" to-port="1" />
+		<edge from-layer="690" from-port="2" to-layer="691" to-port="0" />
+		<edge from-layer="691" from-port="2" to-layer="692" to-port="0" />
+		<edge from-layer="692" from-port="1" to-layer="715" to-port="0" />
+		<edge from-layer="693" from-port="0" to-layer="696" to-port="0" />
 		<edge from-layer="694" from-port="0" to-layer="695" to-port="1" />
-		<edge from-layer="695" from-port="2" to-layer="697" to-port="0" />
-		<edge from-layer="696" from-port="0" to-layer="697" to-port="1" />
-		<edge from-layer="697" from-port="2" to-layer="698" to-port="1" />
-		<edge from-layer="698" from-port="2" to-layer="699" to-port="1" />
-		<edge from-layer="699" from-port="2" to-layer="702" to-port="0" />
-		<edge from-layer="700" from-port="0" to-layer="702" to-port="1" />
-		<edge from-layer="700" from-port="0" to-layer="702" to-port="3" />
-		<edge from-layer="701" from-port="0" to-layer="702" to-port="4" />
-		<edge from-layer="701" from-port="0" to-layer="702" to-port="2" />
-		<edge from-layer="702" from-port="5" to-layer="703" to-port="0" />
-		<edge from-layer="702" from-port="5" to-layer="718" to-port="0" />
-		<edge from-layer="702" from-port="5" to-layer="709" to-port="0" />
+		<edge from-layer="695" from-port="2" to-layer="696" to-port="1" />
+		<edge from-layer="696" from-port="2" to-layer="712" to-port="0" />
+		<edge from-layer="696" from-port="2" to-layer="697" to-port="0" />
+		<edge from-layer="696" from-port="2" to-layer="703" to-port="0" />
+		<edge from-layer="697" from-port="1" to-layer="700" to-port="0" />
+		<edge from-layer="698" from-port="0" to-layer="700" to-port="1" />
+		<edge from-layer="699" from-port="0" to-layer="700" to-port="2" />
+		<edge from-layer="700" from-port="3" to-layer="702" to-port="0" />
+		<edge from-layer="701" from-port="0" to-layer="702" to-port="1" />
+		<edge from-layer="702" from-port="2" to-layer="711" to-port="0" />
 		<edge from-layer="703" from-port="1" to-layer="706" to-port="0" />
 		<edge from-layer="704" from-port="0" to-layer="706" to-port="1" />
 		<edge from-layer="705" from-port="0" to-layer="706" to-port="2" />
 		<edge from-layer="706" from-port="3" to-layer="708" to-port="0" />
 		<edge from-layer="707" from-port="0" to-layer="708" to-port="1" />
-		<edge from-layer="708" from-port="2" to-layer="717" to-port="0" />
-		<edge from-layer="709" from-port="1" to-layer="712" to-port="0" />
-		<edge from-layer="710" from-port="0" to-layer="712" to-port="1" />
-		<edge from-layer="711" from-port="0" to-layer="712" to-port="2" />
-		<edge from-layer="712" from-port="3" to-layer="714" to-port="0" />
+		<edge from-layer="708" from-port="2" to-layer="711" to-port="1" />
+		<edge from-layer="709" from-port="0" to-layer="711" to-port="2" />
+		<edge from-layer="710" from-port="0" to-layer="711" to-port="3" />
+		<edge from-layer="711" from-port="4" to-layer="712" to-port="1" />
+		<edge from-layer="712" from-port="2" to-layer="714" to-port="0" />
 		<edge from-layer="713" from-port="0" to-layer="714" to-port="1" />
-		<edge from-layer="714" from-port="2" to-layer="717" to-port="1" />
-		<edge from-layer="715" from-port="0" to-layer="717" to-port="2" />
-		<edge from-layer="716" from-port="0" to-layer="717" to-port="3" />
-		<edge from-layer="717" from-port="4" to-layer="718" to-port="1" />
-		<edge from-layer="718" from-port="2" to-layer="720" to-port="0" />
-		<edge from-layer="719" from-port="0" to-layer="720" to-port="1" />
-		<edge from-layer="720" from-port="2" to-layer="721" to-port="1" />
-		<edge from-layer="721" from-port="2" to-layer="723" to-port="0" />
+		<edge from-layer="714" from-port="2" to-layer="715" to-port="1" />
+		<edge from-layer="715" from-port="2" to-layer="717" to-port="0" />
+		<edge from-layer="716" from-port="0" to-layer="717" to-port="1" />
+		<edge from-layer="717" from-port="2" to-layer="732" to-port="0" />
+		<edge from-layer="717" from-port="2" to-layer="724" to-port="0" />
+		<edge from-layer="717" from-port="2" to-layer="718" to-port="0" />
+		<edge from-layer="718" from-port="1" to-layer="721" to-port="0" />
+		<edge from-layer="719" from-port="0" to-layer="721" to-port="1" />
+		<edge from-layer="720" from-port="0" to-layer="721" to-port="2" />
+		<edge from-layer="721" from-port="3" to-layer="723" to-port="0" />
 		<edge from-layer="722" from-port="0" to-layer="723" to-port="1" />
-		<edge from-layer="723" from-port="2" to-layer="724" to-port="0" />
-		<edge from-layer="724" from-port="2" to-layer="725" to-port="0" />
-		<edge from-layer="725" from-port="1" to-layer="754" to-port="0" />
-		<edge from-layer="726" from-port="0" to-layer="735" to-port="0" />
-		<edge from-layer="727" from-port="5" to-layer="734" to-port="0" />
-		<edge from-layer="728" from-port="0" to-layer="729" to-port="0" />
-		<edge from-layer="729" from-port="1" to-layer="731" to-port="0" />
-		<edge from-layer="730" from-port="0" to-layer="731" to-port="1" />
-		<edge from-layer="731" from-port="2" to-layer="733" to-port="0" />
-		<edge from-layer="732" from-port="0" to-layer="733" to-port="1" />
-		<edge from-layer="733" from-port="2" to-layer="734" to-port="1" />
+		<edge from-layer="723" from-port="2" to-layer="731" to-port="0" />
+		<edge from-layer="724" from-port="1" to-layer="727" to-port="0" />
+		<edge from-layer="725" from-port="0" to-layer="727" to-port="1" />
+		<edge from-layer="726" from-port="0" to-layer="727" to-port="2" />
+		<edge from-layer="727" from-port="3" to-layer="729" to-port="0" />
+		<edge from-layer="728" from-port="0" to-layer="729" to-port="1" />
+		<edge from-layer="729" from-port="2" to-layer="731" to-port="1" />
+		<edge from-layer="730" from-port="0" to-layer="731" to-port="2" />
+		<edge from-layer="731" from-port="3" to-layer="732" to-port="1" />
+		<edge from-layer="732" from-port="2" to-layer="734" to-port="0" />
+		<edge from-layer="733" from-port="0" to-layer="734" to-port="1" />
 		<edge from-layer="734" from-port="2" to-layer="735" to-port="1" />
 		<edge from-layer="735" from-port="2" to-layer="736" to-port="0" />
-		<edge from-layer="735" from-port="2" to-layer="742" to-port="0" />
-		<edge from-layer="735" from-port="2" to-layer="751" to-port="0" />
-		<edge from-layer="736" from-port="1" to-layer="739" to-port="0" />
-		<edge from-layer="737" from-port="0" to-layer="739" to-port="1" />
-		<edge from-layer="738" from-port="0" to-layer="739" to-port="2" />
-		<edge from-layer="739" from-port="3" to-layer="741" to-port="0" />
+		<edge from-layer="736" from-port="2" to-layer="738" to-port="0" />
+		<edge from-layer="736" from-port="2" to-layer="739" to-port="0" />
+		<edge from-layer="737" from-port="0" to-layer="738" to-port="1" />
+		<edge from-layer="738" from-port="2" to-layer="739" to-port="1" />
+		<edge from-layer="739" from-port="2" to-layer="741" to-port="0" />
+		<edge from-layer="739" from-port="2" to-layer="747" to-port="0" />
 		<edge from-layer="740" from-port="0" to-layer="741" to-port="1" />
-		<edge from-layer="741" from-port="2" to-layer="750" to-port="0" />
-		<edge from-layer="742" from-port="1" to-layer="745" to-port="0" />
-		<edge from-layer="743" from-port="0" to-layer="745" to-port="1" />
-		<edge from-layer="744" from-port="0" to-layer="745" to-port="2" />
-		<edge from-layer="745" from-port="3" to-layer="747" to-port="0" />
-		<edge from-layer="746" from-port="0" to-layer="747" to-port="1" />
-		<edge from-layer="747" from-port="2" to-layer="750" to-port="1" />
-		<edge from-layer="748" from-port="0" to-layer="750" to-port="2" />
-		<edge from-layer="749" from-port="0" to-layer="750" to-port="3" />
-		<edge from-layer="750" from-port="4" to-layer="751" to-port="1" />
+		<edge from-layer="741" from-port="2" to-layer="743" to-port="0" />
+		<edge from-layer="742" from-port="0" to-layer="743" to-port="1" />
+		<edge from-layer="743" from-port="2" to-layer="745" to-port="0" />
+		<edge from-layer="744" from-port="0" to-layer="745" to-port="1" />
+		<edge from-layer="745" from-port="2" to-layer="746" to-port="0" />
+		<edge from-layer="746" from-port="1" to-layer="747" to-port="1" />
+		<edge from-layer="747" from-port="2" to-layer="749" to-port="0" />
+		<edge from-layer="748" from-port="0" to-layer="749" to-port="1" />
+		<edge from-layer="749" from-port="2" to-layer="751" to-port="0" />
+		<edge from-layer="750" from-port="0" to-layer="751" to-port="1" />
 		<edge from-layer="751" from-port="2" to-layer="753" to-port="0" />
+		<edge from-layer="751" from-port="2" to-layer="766" to-port="1" />
 		<edge from-layer="752" from-port="0" to-layer="753" to-port="1" />
 		<edge from-layer="753" from-port="2" to-layer="754" to-port="1" />
-		<edge from-layer="754" from-port="2" to-layer="757" to-port="0" />
-		<edge from-layer="755" from-port="0" to-layer="757" to-port="3" />
-		<edge from-layer="755" from-port="0" to-layer="757" to-port="1" />
-		<edge from-layer="756" from-port="0" to-layer="757" to-port="2" />
-		<edge from-layer="756" from-port="0" to-layer="757" to-port="4" />
-		<edge from-layer="757" from-port="5" to-layer="759" to-port="0" />
+		<edge from-layer="754" from-port="2" to-layer="756" to-port="0" />
+		<edge from-layer="754" from-port="2" to-layer="760" to-port="0" />
+		<edge from-layer="755" from-port="0" to-layer="756" to-port="1" />
+		<edge from-layer="756" from-port="2" to-layer="757" to-port="0" />
+		<edge from-layer="757" from-port="1" to-layer="759" to-port="0" />
 		<edge from-layer="758" from-port="0" to-layer="759" to-port="1" />
-		<edge from-layer="759" from-port="2" to-layer="760" to-port="0" />
-		<edge from-layer="759" from-port="2" to-layer="774" to-port="0" />
-		<edge from-layer="759" from-port="2" to-layer="766" to-port="0" />
-		<edge from-layer="760" from-port="1" to-layer="763" to-port="0" />
-		<edge from-layer="761" from-port="0" to-layer="763" to-port="1" />
-		<edge from-layer="762" from-port="0" to-layer="763" to-port="2" />
-		<edge from-layer="763" from-port="3" to-layer="765" to-port="0" />
-		<edge from-layer="764" from-port="0" to-layer="765" to-port="1" />
-		<edge from-layer="765" from-port="2" to-layer="773" to-port="0" />
-		<edge from-layer="766" from-port="1" to-layer="769" to-port="0" />
-		<edge from-layer="767" from-port="0" to-layer="769" to-port="1" />
-		<edge from-layer="768" from-port="0" to-layer="769" to-port="2" />
-		<edge from-layer="769" from-port="3" to-layer="771" to-port="0" />
+		<edge from-layer="759" from-port="2" to-layer="760" to-port="1" />
+		<edge from-layer="760" from-port="2" to-layer="762" to-port="0" />
+		<edge from-layer="761" from-port="0" to-layer="762" to-port="1" />
+		<edge from-layer="762" from-port="2" to-layer="764" to-port="0" />
+		<edge from-layer="763" from-port="0" to-layer="764" to-port="1" />
+		<edge from-layer="764" from-port="2" to-layer="765" to-port="1" />
+		<edge from-layer="765" from-port="2" to-layer="766" to-port="0" />
+		<edge from-layer="766" from-port="2" to-layer="768" to-port="0" />
+		<edge from-layer="766" from-port="2" to-layer="769" to-port="0" />
+		<edge from-layer="767" from-port="0" to-layer="768" to-port="1" />
+		<edge from-layer="768" from-port="2" to-layer="769" to-port="1" />
+		<edge from-layer="769" from-port="2" to-layer="771" to-port="0" />
+		<edge from-layer="769" from-port="2" to-layer="777" to-port="0" />
 		<edge from-layer="770" from-port="0" to-layer="771" to-port="1" />
-		<edge from-layer="771" from-port="2" to-layer="773" to-port="1" />
-		<edge from-layer="772" from-port="0" to-layer="773" to-port="2" />
-		<edge from-layer="773" from-port="3" to-layer="774" to-port="1" />
-		<edge from-layer="774" from-port="2" to-layer="781" to-port="0" />
-		<edge from-layer="775" from-port="0" to-layer="776" to-port="0" />
-		<edge from-layer="776" from-port="1" to-layer="778" to-port="0" />
-		<edge from-layer="777" from-port="0" to-layer="778" to-port="1" />
-		<edge from-layer="778" from-port="2" to-layer="780" to-port="0" />
-		<edge from-layer="779" from-port="0" to-layer="780" to-port="1" />
-		<edge from-layer="780" from-port="2" to-layer="781" to-port="1" />
-		<edge from-layer="781" from-port="2" to-layer="782" to-port="1" />
-		<edge from-layer="782" from-port="2" to-layer="783" to-port="0" />
-		<edge from-layer="783" from-port="2" to-layer="785" to-port="0" />
-		<edge from-layer="783" from-port="2" to-layer="786" to-port="0" />
-		<edge from-layer="784" from-port="0" to-layer="785" to-port="1" />
-		<edge from-layer="785" from-port="2" to-layer="786" to-port="1" />
-		<edge from-layer="786" from-port="2" to-layer="794" to-port="0" />
-		<edge from-layer="786" from-port="2" to-layer="788" to-port="0" />
-		<edge from-layer="787" from-port="0" to-layer="788" to-port="1" />
-		<edge from-layer="788" from-port="2" to-layer="790" to-port="0" />
+		<edge from-layer="771" from-port="2" to-layer="773" to-port="0" />
+		<edge from-layer="772" from-port="0" to-layer="773" to-port="1" />
+		<edge from-layer="773" from-port="2" to-layer="775" to-port="0" />
+		<edge from-layer="774" from-port="0" to-layer="775" to-port="1" />
+		<edge from-layer="775" from-port="2" to-layer="776" to-port="0" />
+		<edge from-layer="776" from-port="1" to-layer="777" to-port="1" />
+		<edge from-layer="777" from-port="2" to-layer="779" to-port="0" />
+		<edge from-layer="778" from-port="0" to-layer="779" to-port="1" />
+		<edge from-layer="779" from-port="2" to-layer="781" to-port="0" />
+		<edge from-layer="780" from-port="0" to-layer="781" to-port="1" />
+		<edge from-layer="781" from-port="2" to-layer="832" to-port="0" />
+		<edge from-layer="781" from-port="2" to-layer="873" to-port="1" />
+		<edge from-layer="781" from-port="2" to-layer="783" to-port="0" />
+		<edge from-layer="781" from-port="2" to-layer="805" to-port="0" />
+		<edge from-layer="782" from-port="0" to-layer="783" to-port="1" />
+		<edge from-layer="783" from-port="2" to-layer="784" to-port="1" />
+		<edge from-layer="784" from-port="2" to-layer="785" to-port="0" />
+		<edge from-layer="784" from-port="2" to-layer="791" to-port="0" />
+		<edge from-layer="784" from-port="2" to-layer="800" to-port="0" />
+		<edge from-layer="785" from-port="1" to-layer="788" to-port="0" />
+		<edge from-layer="786" from-port="0" to-layer="788" to-port="1" />
+		<edge from-layer="787" from-port="0" to-layer="788" to-port="2" />
+		<edge from-layer="788" from-port="3" to-layer="790" to-port="0" />
 		<edge from-layer="789" from-port="0" to-layer="790" to-port="1" />
-		<edge from-layer="790" from-port="2" to-layer="792" to-port="0" />
-		<edge from-layer="791" from-port="0" to-layer="792" to-port="1" />
-		<edge from-layer="792" from-port="2" to-layer="793" to-port="0" />
-		<edge from-layer="793" from-port="1" to-layer="794" to-port="1" />
-		<edge from-layer="794" from-port="2" to-layer="796" to-port="0" />
+		<edge from-layer="790" from-port="2" to-layer="799" to-port="0" />
+		<edge from-layer="791" from-port="1" to-layer="794" to-port="0" />
+		<edge from-layer="792" from-port="0" to-layer="794" to-port="1" />
+		<edge from-layer="793" from-port="0" to-layer="794" to-port="2" />
+		<edge from-layer="794" from-port="3" to-layer="796" to-port="0" />
 		<edge from-layer="795" from-port="0" to-layer="796" to-port="1" />
-		<edge from-layer="796" from-port="2" to-layer="798" to-port="0" />
-		<edge from-layer="797" from-port="0" to-layer="798" to-port="1" />
-		<edge from-layer="798" from-port="2" to-layer="829" to-port="1" />
-		<edge from-layer="798" from-port="2" to-layer="801" to-port="0" />
-		<edge from-layer="799" from-port="0" to-layer="801" to-port="1" />
-		<edge from-layer="799" from-port="0" to-layer="801" to-port="3" />
-		<edge from-layer="800" from-port="0" to-layer="801" to-port="2" />
-		<edge from-layer="800" from-port="0" to-layer="801" to-port="4" />
-		<edge from-layer="801" from-port="5" to-layer="808" to-port="0" />
-		<edge from-layer="802" from-port="0" to-layer="803" to-port="0" />
-		<edge from-layer="803" from-port="1" to-layer="805" to-port="0" />
+		<edge from-layer="796" from-port="2" to-layer="799" to-port="1" />
+		<edge from-layer="797" from-port="0" to-layer="799" to-port="2" />
+		<edge from-layer="798" from-port="0" to-layer="799" to-port="3" />
+		<edge from-layer="799" from-port="4" to-layer="800" to-port="1" />
+		<edge from-layer="800" from-port="2" to-layer="802" to-port="0" />
+		<edge from-layer="801" from-port="0" to-layer="802" to-port="1" />
+		<edge from-layer="802" from-port="2" to-layer="825" to-port="0" />
+		<edge from-layer="803" from-port="0" to-layer="806" to-port="0" />
 		<edge from-layer="804" from-port="0" to-layer="805" to-port="1" />
-		<edge from-layer="805" from-port="2" to-layer="807" to-port="0" />
-		<edge from-layer="806" from-port="0" to-layer="807" to-port="1" />
-		<edge from-layer="807" from-port="2" to-layer="808" to-port="1" />
-		<edge from-layer="808" from-port="2" to-layer="809" to-port="1" />
-		<edge from-layer="809" from-port="2" to-layer="815" to-port="0" />
-		<edge from-layer="809" from-port="2" to-layer="811" to-port="0" />
-		<edge from-layer="810" from-port="0" to-layer="811" to-port="1" />
-		<edge from-layer="811" from-port="2" to-layer="812" to-port="0" />
-		<edge from-layer="812" from-port="1" to-layer="814" to-port="0" />
-		<edge from-layer="813" from-port="0" to-layer="814" to-port="1" />
-		<edge from-layer="814" from-port="2" to-layer="815" to-port="1" />
-		<edge from-layer="815" from-port="2" to-layer="817" to-port="0" />
-		<edge from-layer="816" from-port="0" to-layer="817" to-port="1" />
-		<edge from-layer="817" from-port="2" to-layer="820" to-port="0" />
-		<edge from-layer="818" from-port="0" to-layer="820" to-port="1" />
-		<edge from-layer="818" from-port="0" to-layer="820" to-port="3" />
-		<edge from-layer="819" from-port="0" to-layer="820" to-port="4" />
-		<edge from-layer="819" from-port="0" to-layer="820" to-port="2" />
-		<edge from-layer="820" from-port="5" to-layer="827" to-port="0" />
-		<edge from-layer="821" from-port="0" to-layer="822" to-port="0" />
-		<edge from-layer="822" from-port="1" to-layer="824" to-port="0" />
+		<edge from-layer="805" from-port="2" to-layer="806" to-port="1" />
+		<edge from-layer="806" from-port="2" to-layer="822" to-port="0" />
+		<edge from-layer="806" from-port="2" to-layer="813" to-port="0" />
+		<edge from-layer="806" from-port="2" to-layer="807" to-port="0" />
+		<edge from-layer="807" from-port="1" to-layer="810" to-port="0" />
+		<edge from-layer="808" from-port="0" to-layer="810" to-port="1" />
+		<edge from-layer="809" from-port="0" to-layer="810" to-port="2" />
+		<edge from-layer="810" from-port="3" to-layer="812" to-port="0" />
+		<edge from-layer="811" from-port="0" to-layer="812" to-port="1" />
+		<edge from-layer="812" from-port="2" to-layer="821" to-port="0" />
+		<edge from-layer="813" from-port="1" to-layer="816" to-port="0" />
+		<edge from-layer="814" from-port="0" to-layer="816" to-port="1" />
+		<edge from-layer="815" from-port="0" to-layer="816" to-port="2" />
+		<edge from-layer="816" from-port="3" to-layer="818" to-port="0" />
+		<edge from-layer="817" from-port="0" to-layer="818" to-port="1" />
+		<edge from-layer="818" from-port="2" to-layer="821" to-port="1" />
+		<edge from-layer="819" from-port="0" to-layer="821" to-port="2" />
+		<edge from-layer="820" from-port="0" to-layer="821" to-port="3" />
+		<edge from-layer="821" from-port="4" to-layer="822" to-port="1" />
+		<edge from-layer="822" from-port="2" to-layer="824" to-port="0" />
 		<edge from-layer="823" from-port="0" to-layer="824" to-port="1" />
-		<edge from-layer="824" from-port="2" to-layer="826" to-port="0" />
-		<edge from-layer="825" from-port="0" to-layer="826" to-port="1" />
-		<edge from-layer="826" from-port="2" to-layer="827" to-port="1" />
-		<edge from-layer="827" from-port="2" to-layer="828" to-port="1" />
+		<edge from-layer="824" from-port="2" to-layer="825" to-port="1" />
+		<edge from-layer="825" from-port="2" to-layer="827" to-port="0" />
+		<edge from-layer="826" from-port="0" to-layer="827" to-port="1" />
+		<edge from-layer="827" from-port="2" to-layer="828" to-port="0" />
 		<edge from-layer="828" from-port="2" to-layer="829" to-port="0" />
-		<edge from-layer="829" from-port="2" to-layer="832" to-port="0" />
-		<edge from-layer="829" from-port="2" to-layer="831" to-port="0" />
-		<edge from-layer="830" from-port="0" to-layer="831" to-port="1" />
-		<edge from-layer="831" from-port="2" to-layer="832" to-port="1" />
-		<edge from-layer="832" from-port="2" to-layer="834" to-port="0" />
-		<edge from-layer="832" from-port="2" to-layer="840" to-port="0" />
-		<edge from-layer="833" from-port="0" to-layer="834" to-port="1" />
-		<edge from-layer="834" from-port="2" to-layer="836" to-port="0" />
-		<edge from-layer="835" from-port="0" to-layer="836" to-port="1" />
-		<edge from-layer="836" from-port="2" to-layer="838" to-port="0" />
-		<edge from-layer="837" from-port="0" to-layer="838" to-port="1" />
-		<edge from-layer="838" from-port="2" to-layer="839" to-port="0" />
-		<edge from-layer="839" from-port="1" to-layer="840" to-port="1" />
-		<edge from-layer="840" from-port="2" to-layer="842" to-port="0" />
-		<edge from-layer="841" from-port="0" to-layer="842" to-port="1" />
-		<edge from-layer="842" from-port="2" to-layer="844" to-port="0" />
-		<edge from-layer="843" from-port="0" to-layer="844" to-port="1" />
-		<edge from-layer="844" from-port="2" to-layer="878" to-port="0" />
-		<edge from-layer="844" from-port="2" to-layer="847" to-port="0" />
-		<edge from-layer="844" from-port="2" to-layer="970" to-port="1" />
-		<edge from-layer="844" from-port="2" to-layer="914" to-port="0" />
-		<edge from-layer="845" from-port="0" to-layer="878" to-port="3" />
-		<edge from-layer="845" from-port="0" to-layer="847" to-port="1" />
-		<edge from-layer="845" from-port="0" to-layer="878" to-port="1" />
-		<edge from-layer="845" from-port="0" to-layer="847" to-port="3" />
-		<edge from-layer="845" from-port="0" to-layer="914" to-port="3" />
-		<edge from-layer="845" from-port="0" to-layer="914" to-port="1" />
-		<edge from-layer="846" from-port="0" to-layer="847" to-port="2" />
-		<edge from-layer="846" from-port="0" to-layer="914" to-port="2" />
-		<edge from-layer="846" from-port="0" to-layer="847" to-port="4" />
-		<edge from-layer="846" from-port="0" to-layer="878" to-port="4" />
-		<edge from-layer="846" from-port="0" to-layer="878" to-port="2" />
-		<edge from-layer="846" from-port="0" to-layer="914" to-port="4" />
-		<edge from-layer="847" from-port="5" to-layer="854" to-port="0" />
-		<edge from-layer="848" from-port="0" to-layer="849" to-port="0" />
-		<edge from-layer="849" from-port="1" to-layer="851" to-port="0" />
+		<edge from-layer="829" from-port="1" to-layer="852" to-port="0" />
+		<edge from-layer="830" from-port="0" to-layer="833" to-port="0" />
+		<edge from-layer="831" from-port="0" to-layer="832" to-port="1" />
+		<edge from-layer="832" from-port="2" to-layer="833" to-port="1" />
+		<edge from-layer="833" from-port="2" to-layer="834" to-port="0" />
+		<edge from-layer="833" from-port="2" to-layer="840" to-port="0" />
+		<edge from-layer="833" from-port="2" to-layer="849" to-port="0" />
+		<edge from-layer="834" from-port="1" to-layer="837" to-port="0" />
+		<edge from-layer="835" from-port="0" to-layer="837" to-port="1" />
+		<edge from-layer="836" from-port="0" to-layer="837" to-port="2" />
+		<edge from-layer="837" from-port="3" to-layer="839" to-port="0" />
+		<edge from-layer="838" from-port="0" to-layer="839" to-port="1" />
+		<edge from-layer="839" from-port="2" to-layer="848" to-port="0" />
+		<edge from-layer="840" from-port="1" to-layer="843" to-port="0" />
+		<edge from-layer="841" from-port="0" to-layer="843" to-port="1" />
+		<edge from-layer="842" from-port="0" to-layer="843" to-port="2" />
+		<edge from-layer="843" from-port="3" to-layer="845" to-port="0" />
+		<edge from-layer="844" from-port="0" to-layer="845" to-port="1" />
+		<edge from-layer="845" from-port="2" to-layer="848" to-port="1" />
+		<edge from-layer="846" from-port="0" to-layer="848" to-port="2" />
+		<edge from-layer="847" from-port="0" to-layer="848" to-port="3" />
+		<edge from-layer="848" from-port="4" to-layer="849" to-port="1" />
+		<edge from-layer="849" from-port="2" to-layer="851" to-port="0" />
 		<edge from-layer="850" from-port="0" to-layer="851" to-port="1" />
-		<edge from-layer="851" from-port="2" to-layer="853" to-port="0" />
-		<edge from-layer="852" from-port="0" to-layer="853" to-port="1" />
-		<edge from-layer="853" from-port="2" to-layer="854" to-port="1" />
-		<edge from-layer="854" from-port="2" to-layer="855" to-port="1" />
-		<edge from-layer="855" from-port="2" to-layer="858" to-port="0" />
+		<edge from-layer="851" from-port="2" to-layer="852" to-port="1" />
+		<edge from-layer="852" from-port="2" to-layer="854" to-port="0" />
+		<edge from-layer="853" from-port="0" to-layer="854" to-port="1" />
+		<edge from-layer="854" from-port="2" to-layer="869" to-port="0" />
+		<edge from-layer="854" from-port="2" to-layer="855" to-port="0" />
+		<edge from-layer="854" from-port="2" to-layer="861" to-port="0" />
+		<edge from-layer="855" from-port="1" to-layer="858" to-port="0" />
 		<edge from-layer="856" from-port="0" to-layer="858" to-port="1" />
-		<edge from-layer="856" from-port="0" to-layer="858" to-port="3" />
 		<edge from-layer="857" from-port="0" to-layer="858" to-port="2" />
-		<edge from-layer="857" from-port="0" to-layer="858" to-port="4" />
-		<edge from-layer="858" from-port="5" to-layer="859" to-port="0" />
-		<edge from-layer="858" from-port="5" to-layer="874" to-port="0" />
-		<edge from-layer="858" from-port="5" to-layer="865" to-port="0" />
-		<edge from-layer="859" from-port="1" to-layer="862" to-port="0" />
-		<edge from-layer="860" from-port="0" to-layer="862" to-port="1" />
-		<edge from-layer="861" from-port="0" to-layer="862" to-port="2" />
-		<edge from-layer="862" from-port="3" to-layer="864" to-port="0" />
-		<edge from-layer="863" from-port="0" to-layer="864" to-port="1" />
-		<edge from-layer="864" from-port="2" to-layer="873" to-port="0" />
-		<edge from-layer="865" from-port="1" to-layer="868" to-port="0" />
-		<edge from-layer="866" from-port="0" to-layer="868" to-port="1" />
+		<edge from-layer="858" from-port="3" to-layer="860" to-port="0" />
+		<edge from-layer="859" from-port="0" to-layer="860" to-port="1" />
+		<edge from-layer="860" from-port="2" to-layer="868" to-port="0" />
+		<edge from-layer="861" from-port="1" to-layer="864" to-port="0" />
+		<edge from-layer="862" from-port="0" to-layer="864" to-port="1" />
+		<edge from-layer="863" from-port="0" to-layer="864" to-port="2" />
+		<edge from-layer="864" from-port="3" to-layer="866" to-port="0" />
+		<edge from-layer="865" from-port="0" to-layer="866" to-port="1" />
+		<edge from-layer="866" from-port="2" to-layer="868" to-port="1" />
 		<edge from-layer="867" from-port="0" to-layer="868" to-port="2" />
-		<edge from-layer="868" from-port="3" to-layer="870" to-port="0" />
-		<edge from-layer="869" from-port="0" to-layer="870" to-port="1" />
-		<edge from-layer="870" from-port="2" to-layer="873" to-port="1" />
-		<edge from-layer="871" from-port="0" to-layer="873" to-port="2" />
-		<edge from-layer="872" from-port="0" to-layer="873" to-port="3" />
-		<edge from-layer="873" from-port="4" to-layer="874" to-port="1" />
-		<edge from-layer="874" from-port="2" to-layer="876" to-port="0" />
-		<edge from-layer="875" from-port="0" to-layer="876" to-port="1" />
-		<edge from-layer="876" from-port="2" to-layer="908" to-port="0" />
-		<edge from-layer="877" from-port="0" to-layer="886" to-port="0" />
-		<edge from-layer="878" from-port="5" to-layer="885" to-port="0" />
-		<edge from-layer="879" from-port="0" to-layer="880" to-port="0" />
-		<edge from-layer="880" from-port="1" to-layer="882" to-port="0" />
+		<edge from-layer="868" from-port="3" to-layer="869" to-port="1" />
+		<edge from-layer="869" from-port="2" to-layer="871" to-port="0" />
+		<edge from-layer="870" from-port="0" to-layer="871" to-port="1" />
+		<edge from-layer="871" from-port="2" to-layer="872" to-port="1" />
+		<edge from-layer="872" from-port="2" to-layer="873" to-port="0" />
+		<edge from-layer="873" from-port="2" to-layer="875" to-port="0" />
+		<edge from-layer="873" from-port="2" to-layer="876" to-port="0" />
+		<edge from-layer="874" from-port="0" to-layer="875" to-port="1" />
+		<edge from-layer="875" from-port="2" to-layer="876" to-port="1" />
+		<edge from-layer="876" from-port="2" to-layer="884" to-port="0" />
+		<edge from-layer="876" from-port="2" to-layer="878" to-port="0" />
+		<edge from-layer="877" from-port="0" to-layer="878" to-port="1" />
+		<edge from-layer="878" from-port="2" to-layer="880" to-port="0" />
+		<edge from-layer="879" from-port="0" to-layer="880" to-port="1" />
+		<edge from-layer="880" from-port="2" to-layer="882" to-port="0" />
 		<edge from-layer="881" from-port="0" to-layer="882" to-port="1" />
-		<edge from-layer="882" from-port="2" to-layer="884" to-port="0" />
-		<edge from-layer="883" from-port="0" to-layer="884" to-port="1" />
-		<edge from-layer="884" from-port="2" to-layer="885" to-port="1" />
-		<edge from-layer="885" from-port="2" to-layer="886" to-port="1" />
-		<edge from-layer="886" from-port="2" to-layer="889" to-port="0" />
-		<edge from-layer="887" from-port="0" to-layer="889" to-port="1" />
-		<edge from-layer="887" from-port="0" to-layer="889" to-port="3" />
-		<edge from-layer="888" from-port="0" to-layer="889" to-port="4" />
-		<edge from-layer="888" from-port="0" to-layer="889" to-port="2" />
-		<edge from-layer="889" from-port="5" to-layer="890" to-port="0" />
-		<edge from-layer="889" from-port="5" to-layer="905" to-port="0" />
-		<edge from-layer="889" from-port="5" to-layer="896" to-port="0" />
-		<edge from-layer="890" from-port="1" to-layer="893" to-port="0" />
-		<edge from-layer="891" from-port="0" to-layer="893" to-port="1" />
-		<edge from-layer="892" from-port="0" to-layer="893" to-port="2" />
-		<edge from-layer="893" from-port="3" to-layer="895" to-port="0" />
-		<edge from-layer="894" from-port="0" to-layer="895" to-port="1" />
-		<edge from-layer="895" from-port="2" to-layer="904" to-port="0" />
-		<edge from-layer="896" from-port="1" to-layer="899" to-port="0" />
-		<edge from-layer="897" from-port="0" to-layer="899" to-port="1" />
-		<edge from-layer="898" from-port="0" to-layer="899" to-port="2" />
-		<edge from-layer="899" from-port="3" to-layer="901" to-port="0" />
+		<edge from-layer="882" from-port="2" to-layer="883" to-port="0" />
+		<edge from-layer="883" from-port="1" to-layer="884" to-port="1" />
+		<edge from-layer="884" from-port="2" to-layer="886" to-port="0" />
+		<edge from-layer="885" from-port="0" to-layer="886" to-port="1" />
+		<edge from-layer="886" from-port="2" to-layer="888" to-port="0" />
+		<edge from-layer="887" from-port="0" to-layer="888" to-port="1" />
+		<edge from-layer="888" from-port="2" to-layer="890" to-port="0" />
+		<edge from-layer="888" from-port="2" to-layer="903" to-port="1" />
+		<edge from-layer="889" from-port="0" to-layer="890" to-port="1" />
+		<edge from-layer="890" from-port="2" to-layer="891" to-port="1" />
+		<edge from-layer="891" from-port="2" to-layer="893" to-port="0" />
+		<edge from-layer="891" from-port="2" to-layer="897" to-port="0" />
+		<edge from-layer="892" from-port="0" to-layer="893" to-port="1" />
+		<edge from-layer="893" from-port="2" to-layer="894" to-port="0" />
+		<edge from-layer="894" from-port="1" to-layer="896" to-port="0" />
+		<edge from-layer="895" from-port="0" to-layer="896" to-port="1" />
+		<edge from-layer="896" from-port="2" to-layer="897" to-port="1" />
+		<edge from-layer="897" from-port="2" to-layer="899" to-port="0" />
+		<edge from-layer="898" from-port="0" to-layer="899" to-port="1" />
+		<edge from-layer="899" from-port="2" to-layer="901" to-port="0" />
 		<edge from-layer="900" from-port="0" to-layer="901" to-port="1" />
-		<edge from-layer="901" from-port="2" to-layer="904" to-port="1" />
-		<edge from-layer="902" from-port="0" to-layer="904" to-port="2" />
-		<edge from-layer="903" from-port="0" to-layer="904" to-port="3" />
-		<edge from-layer="904" from-port="4" to-layer="905" to-port="1" />
-		<edge from-layer="905" from-port="2" to-layer="907" to-port="0" />
-		<edge from-layer="906" from-port="0" to-layer="907" to-port="1" />
-		<edge from-layer="907" from-port="2" to-layer="908" to-port="1" />
+		<edge from-layer="901" from-port="2" to-layer="902" to-port="1" />
+		<edge from-layer="902" from-port="2" to-layer="903" to-port="0" />
+		<edge from-layer="903" from-port="2" to-layer="906" to-port="0" />
+		<edge from-layer="903" from-port="2" to-layer="905" to-port="0" />
+		<edge from-layer="904" from-port="0" to-layer="905" to-port="1" />
+		<edge from-layer="905" from-port="2" to-layer="906" to-port="1" />
+		<edge from-layer="906" from-port="2" to-layer="914" to-port="0" />
+		<edge from-layer="906" from-port="2" to-layer="908" to-port="0" />
+		<edge from-layer="907" from-port="0" to-layer="908" to-port="1" />
 		<edge from-layer="908" from-port="2" to-layer="910" to-port="0" />
 		<edge from-layer="909" from-port="0" to-layer="910" to-port="1" />
-		<edge from-layer="910" from-port="2" to-layer="911" to-port="0" />
-		<edge from-layer="911" from-port="2" to-layer="912" to-port="0" />
-		<edge from-layer="912" from-port="1" to-layer="941" to-port="0" />
-		<edge from-layer="913" from-port="0" to-layer="922" to-port="0" />
-		<edge from-layer="914" from-port="5" to-layer="921" to-port="0" />
-		<edge from-layer="915" from-port="0" to-layer="916" to-port="0" />
-		<edge from-layer="916" from-port="1" to-layer="918" to-port="0" />
+		<edge from-layer="910" from-port="2" to-layer="912" to-port="0" />
+		<edge from-layer="911" from-port="0" to-layer="912" to-port="1" />
+		<edge from-layer="912" from-port="2" to-layer="913" to-port="0" />
+		<edge from-layer="913" from-port="1" to-layer="914" to-port="1" />
+		<edge from-layer="914" from-port="2" to-layer="916" to-port="0" />
+		<edge from-layer="915" from-port="0" to-layer="916" to-port="1" />
+		<edge from-layer="916" from-port="2" to-layer="918" to-port="0" />
 		<edge from-layer="917" from-port="0" to-layer="918" to-port="1" />
+		<edge from-layer="918" from-port="2" to-layer="942" to-port="0" />
+		<edge from-layer="918" from-port="2" to-layer="1010" to-port="1" />
+		<edge from-layer="918" from-port="2" to-layer="969" to-port="0" />
 		<edge from-layer="918" from-port="2" to-layer="920" to-port="0" />
 		<edge from-layer="919" from-port="0" to-layer="920" to-port="1" />
 		<edge from-layer="920" from-port="2" to-layer="921" to-port="1" />
-		<edge from-layer="921" from-port="2" to-layer="922" to-port="1" />
-		<edge from-layer="922" from-port="2" to-layer="923" to-port="0" />
-		<edge from-layer="922" from-port="2" to-layer="938" to-port="0" />
-		<edge from-layer="922" from-port="2" to-layer="929" to-port="0" />
-		<edge from-layer="923" from-port="1" to-layer="926" to-port="0" />
-		<edge from-layer="924" from-port="0" to-layer="926" to-port="1" />
-		<edge from-layer="925" from-port="0" to-layer="926" to-port="2" />
-		<edge from-layer="926" from-port="3" to-layer="928" to-port="0" />
-		<edge from-layer="927" from-port="0" to-layer="928" to-port="1" />
-		<edge from-layer="928" from-port="2" to-layer="937" to-port="0" />
-		<edge from-layer="929" from-port="1" to-layer="932" to-port="0" />
-		<edge from-layer="930" from-port="0" to-layer="932" to-port="1" />
-		<edge from-layer="931" from-port="0" to-layer="932" to-port="2" />
-		<edge from-layer="932" from-port="3" to-layer="934" to-port="0" />
-		<edge from-layer="933" from-port="0" to-layer="934" to-port="1" />
-		<edge from-layer="934" from-port="2" to-layer="937" to-port="1" />
-		<edge from-layer="935" from-port="0" to-layer="937" to-port="2" />
-		<edge from-layer="936" from-port="0" to-layer="937" to-port="3" />
-		<edge from-layer="937" from-port="4" to-layer="938" to-port="1" />
-		<edge from-layer="938" from-port="2" to-layer="940" to-port="0" />
-		<edge from-layer="939" from-port="0" to-layer="940" to-port="1" />
-		<edge from-layer="940" from-port="2" to-layer="941" to-port="1" />
-		<edge from-layer="941" from-port="2" to-layer="944" to-port="0" />
-		<edge from-layer="942" from-port="0" to-layer="944" to-port="1" />
-		<edge from-layer="942" from-port="0" to-layer="944" to-port="3" />
-		<edge from-layer="943" from-port="0" to-layer="944" to-port="2" />
-		<edge from-layer="943" from-port="0" to-layer="944" to-port="4" />
-		<edge from-layer="944" from-port="5" to-layer="946" to-port="0" />
-		<edge from-layer="945" from-port="0" to-layer="946" to-port="1" />
-		<edge from-layer="946" from-port="2" to-layer="961" to-port="0" />
-		<edge from-layer="946" from-port="2" to-layer="953" to-port="0" />
-		<edge from-layer="946" from-port="2" to-layer="947" to-port="0" />
-		<edge from-layer="947" from-port="1" to-layer="950" to-port="0" />
-		<edge from-layer="948" from-port="0" to-layer="950" to-port="1" />
-		<edge from-layer="949" from-port="0" to-layer="950" to-port="2" />
-		<edge from-layer="950" from-port="3" to-layer="952" to-port="0" />
-		<edge from-layer="951" from-port="0" to-layer="952" to-port="1" />
-		<edge from-layer="952" from-port="2" to-layer="960" to-port="0" />
-		<edge from-layer="953" from-port="1" to-layer="956" to-port="0" />
-		<edge from-layer="954" from-port="0" to-layer="956" to-port="1" />
-		<edge from-layer="955" from-port="0" to-layer="956" to-port="2" />
-		<edge from-layer="956" from-port="3" to-layer="958" to-port="0" />
-		<edge from-layer="957" from-port="0" to-layer="958" to-port="1" />
-		<edge from-layer="958" from-port="2" to-layer="960" to-port="1" />
-		<edge from-layer="959" from-port="0" to-layer="960" to-port="2" />
-		<edge from-layer="960" from-port="3" to-layer="961" to-port="1" />
-		<edge from-layer="961" from-port="2" to-layer="968" to-port="0" />
-		<edge from-layer="962" from-port="0" to-layer="963" to-port="0" />
-		<edge from-layer="963" from-port="1" to-layer="965" to-port="0" />
-		<edge from-layer="964" from-port="0" to-layer="965" to-port="1" />
-		<edge from-layer="965" from-port="2" to-layer="967" to-port="0" />
-		<edge from-layer="966" from-port="0" to-layer="967" to-port="1" />
-		<edge from-layer="967" from-port="2" to-layer="968" to-port="1" />
-		<edge from-layer="968" from-port="2" to-layer="969" to-port="1" />
-		<edge from-layer="969" from-port="2" to-layer="970" to-port="0" />
-		<edge from-layer="970" from-port="2" to-layer="972" to-port="0" />
-		<edge from-layer="970" from-port="2" to-layer="973" to-port="0" />
-		<edge from-layer="971" from-port="0" to-layer="972" to-port="1" />
-		<edge from-layer="972" from-port="2" to-layer="973" to-port="1" />
-		<edge from-layer="973" from-port="2" to-layer="975" to-port="0" />
-		<edge from-layer="973" from-port="2" to-layer="981" to-port="0" />
-		<edge from-layer="974" from-port="0" to-layer="975" to-port="1" />
-		<edge from-layer="975" from-port="2" to-layer="977" to-port="0" />
-		<edge from-layer="976" from-port="0" to-layer="977" to-port="1" />
-		<edge from-layer="977" from-port="2" to-layer="979" to-port="0" />
-		<edge from-layer="978" from-port="0" to-layer="979" to-port="1" />
-		<edge from-layer="979" from-port="2" to-layer="980" to-port="0" />
-		<edge from-layer="980" from-port="1" to-layer="981" to-port="1" />
-		<edge from-layer="981" from-port="2" to-layer="983" to-port="0" />
-		<edge from-layer="982" from-port="0" to-layer="983" to-port="1" />
-		<edge from-layer="983" from-port="2" to-layer="985" to-port="0" />
-		<edge from-layer="984" from-port="0" to-layer="985" to-port="1" />
-		<edge from-layer="985" from-port="2" to-layer="1016" to-port="1" />
-		<edge from-layer="985" from-port="2" to-layer="988" to-port="0" />
-		<edge from-layer="986" from-port="0" to-layer="988" to-port="1" />
-		<edge from-layer="986" from-port="0" to-layer="988" to-port="3" />
-		<edge from-layer="987" from-port="0" to-layer="988" to-port="2" />
-		<edge from-layer="987" from-port="0" to-layer="988" to-port="4" />
-		<edge from-layer="988" from-port="5" to-layer="995" to-port="0" />
-		<edge from-layer="989" from-port="0" to-layer="990" to-port="0" />
-		<edge from-layer="990" from-port="1" to-layer="992" to-port="0" />
-		<edge from-layer="991" from-port="0" to-layer="992" to-port="1" />
-		<edge from-layer="992" from-port="2" to-layer="994" to-port="0" />
-		<edge from-layer="993" from-port="0" to-layer="994" to-port="1" />
-		<edge from-layer="994" from-port="2" to-layer="995" to-port="1" />
-		<edge from-layer="995" from-port="2" to-layer="996" to-port="1" />
-		<edge from-layer="996" from-port="2" to-layer="1002" to-port="0" />
-		<edge from-layer="996" from-port="2" to-layer="998" to-port="0" />
-		<edge from-layer="997" from-port="0" to-layer="998" to-port="1" />
-		<edge from-layer="998" from-port="2" to-layer="999" to-port="0" />
-		<edge from-layer="999" from-port="1" to-layer="1001" to-port="0" />
-		<edge from-layer="1000" from-port="0" to-layer="1001" to-port="1" />
-		<edge from-layer="1001" from-port="2" to-layer="1002" to-port="1" />
-		<edge from-layer="1002" from-port="2" to-layer="1004" to-port="0" />
-		<edge from-layer="1003" from-port="0" to-layer="1004" to-port="1" />
-		<edge from-layer="1004" from-port="2" to-layer="1007" to-port="0" />
-		<edge from-layer="1005" from-port="0" to-layer="1007" to-port="1" />
-		<edge from-layer="1005" from-port="0" to-layer="1007" to-port="3" />
-		<edge from-layer="1006" from-port="0" to-layer="1007" to-port="2" />
-		<edge from-layer="1006" from-port="0" to-layer="1007" to-port="4" />
-		<edge from-layer="1007" from-port="5" to-layer="1014" to-port="0" />
-		<edge from-layer="1008" from-port="0" to-layer="1009" to-port="0" />
-		<edge from-layer="1009" from-port="1" to-layer="1011" to-port="0" />
-		<edge from-layer="1010" from-port="0" to-layer="1011" to-port="1" />
-		<edge from-layer="1011" from-port="2" to-layer="1013" to-port="0" />
-		<edge from-layer="1012" from-port="0" to-layer="1013" to-port="1" />
-		<edge from-layer="1013" from-port="2" to-layer="1014" to-port="1" />
-		<edge from-layer="1014" from-port="2" to-layer="1015" to-port="1" />
-		<edge from-layer="1015" from-port="2" to-layer="1016" to-port="0" />
-		<edge from-layer="1016" from-port="2" to-layer="1019" to-port="0" />
-		<edge from-layer="1016" from-port="2" to-layer="1018" to-port="0" />
-		<edge from-layer="1017" from-port="0" to-layer="1018" to-port="1" />
-		<edge from-layer="1018" from-port="2" to-layer="1019" to-port="1" />
-		<edge from-layer="1019" from-port="2" to-layer="1027" to-port="0" />
-		<edge from-layer="1019" from-port="2" to-layer="1021" to-port="0" />
-		<edge from-layer="1020" from-port="0" to-layer="1021" to-port="1" />
+		<edge from-layer="921" from-port="2" to-layer="937" to-port="0" />
+		<edge from-layer="921" from-port="2" to-layer="928" to-port="0" />
+		<edge from-layer="921" from-port="2" to-layer="922" to-port="0" />
+		<edge from-layer="922" from-port="1" to-layer="925" to-port="0" />
+		<edge from-layer="923" from-port="0" to-layer="925" to-port="1" />
+		<edge from-layer="924" from-port="0" to-layer="925" to-port="2" />
+		<edge from-layer="925" from-port="3" to-layer="927" to-port="0" />
+		<edge from-layer="926" from-port="0" to-layer="927" to-port="1" />
+		<edge from-layer="927" from-port="2" to-layer="936" to-port="0" />
+		<edge from-layer="928" from-port="1" to-layer="931" to-port="0" />
+		<edge from-layer="929" from-port="0" to-layer="931" to-port="1" />
+		<edge from-layer="930" from-port="0" to-layer="931" to-port="2" />
+		<edge from-layer="931" from-port="3" to-layer="933" to-port="0" />
+		<edge from-layer="932" from-port="0" to-layer="933" to-port="1" />
+		<edge from-layer="933" from-port="2" to-layer="936" to-port="1" />
+		<edge from-layer="934" from-port="0" to-layer="936" to-port="2" />
+		<edge from-layer="935" from-port="0" to-layer="936" to-port="3" />
+		<edge from-layer="936" from-port="4" to-layer="937" to-port="1" />
+		<edge from-layer="937" from-port="2" to-layer="939" to-port="0" />
+		<edge from-layer="938" from-port="0" to-layer="939" to-port="1" />
+		<edge from-layer="939" from-port="2" to-layer="962" to-port="0" />
+		<edge from-layer="940" from-port="0" to-layer="943" to-port="0" />
+		<edge from-layer="941" from-port="0" to-layer="942" to-port="1" />
+		<edge from-layer="942" from-port="2" to-layer="943" to-port="1" />
+		<edge from-layer="943" from-port="2" to-layer="959" to-port="0" />
+		<edge from-layer="943" from-port="2" to-layer="950" to-port="0" />
+		<edge from-layer="943" from-port="2" to-layer="944" to-port="0" />
+		<edge from-layer="944" from-port="1" to-layer="947" to-port="0" />
+		<edge from-layer="945" from-port="0" to-layer="947" to-port="1" />
+		<edge from-layer="946" from-port="0" to-layer="947" to-port="2" />
+		<edge from-layer="947" from-port="3" to-layer="949" to-port="0" />
+		<edge from-layer="948" from-port="0" to-layer="949" to-port="1" />
+		<edge from-layer="949" from-port="2" to-layer="958" to-port="0" />
+		<edge from-layer="950" from-port="1" to-layer="953" to-port="0" />
+		<edge from-layer="951" from-port="0" to-layer="953" to-port="1" />
+		<edge from-layer="952" from-port="0" to-layer="953" to-port="2" />
+		<edge from-layer="953" from-port="3" to-layer="955" to-port="0" />
+		<edge from-layer="954" from-port="0" to-layer="955" to-port="1" />
+		<edge from-layer="955" from-port="2" to-layer="958" to-port="1" />
+		<edge from-layer="956" from-port="0" to-layer="958" to-port="2" />
+		<edge from-layer="957" from-port="0" to-layer="958" to-port="3" />
+		<edge from-layer="958" from-port="4" to-layer="959" to-port="1" />
+		<edge from-layer="959" from-port="2" to-layer="961" to-port="0" />
+		<edge from-layer="960" from-port="0" to-layer="961" to-port="1" />
+		<edge from-layer="961" from-port="2" to-layer="962" to-port="1" />
+		<edge from-layer="962" from-port="2" to-layer="964" to-port="0" />
+		<edge from-layer="963" from-port="0" to-layer="964" to-port="1" />
+		<edge from-layer="964" from-port="2" to-layer="965" to-port="0" />
+		<edge from-layer="965" from-port="2" to-layer="966" to-port="0" />
+		<edge from-layer="966" from-port="1" to-layer="989" to-port="0" />
+		<edge from-layer="967" from-port="0" to-layer="970" to-port="0" />
+		<edge from-layer="968" from-port="0" to-layer="969" to-port="1" />
+		<edge from-layer="969" from-port="2" to-layer="970" to-port="1" />
+		<edge from-layer="970" from-port="2" to-layer="971" to-port="0" />
+		<edge from-layer="970" from-port="2" to-layer="986" to-port="0" />
+		<edge from-layer="970" from-port="2" to-layer="977" to-port="0" />
+		<edge from-layer="971" from-port="1" to-layer="974" to-port="0" />
+		<edge from-layer="972" from-port="0" to-layer="974" to-port="1" />
+		<edge from-layer="973" from-port="0" to-layer="974" to-port="2" />
+		<edge from-layer="974" from-port="3" to-layer="976" to-port="0" />
+		<edge from-layer="975" from-port="0" to-layer="976" to-port="1" />
+		<edge from-layer="976" from-port="2" to-layer="985" to-port="0" />
+		<edge from-layer="977" from-port="1" to-layer="980" to-port="0" />
+		<edge from-layer="978" from-port="0" to-layer="980" to-port="1" />
+		<edge from-layer="979" from-port="0" to-layer="980" to-port="2" />
+		<edge from-layer="980" from-port="3" to-layer="982" to-port="0" />
+		<edge from-layer="981" from-port="0" to-layer="982" to-port="1" />
+		<edge from-layer="982" from-port="2" to-layer="985" to-port="1" />
+		<edge from-layer="983" from-port="0" to-layer="985" to-port="2" />
+		<edge from-layer="984" from-port="0" to-layer="985" to-port="3" />
+		<edge from-layer="985" from-port="4" to-layer="986" to-port="1" />
+		<edge from-layer="986" from-port="2" to-layer="988" to-port="0" />
+		<edge from-layer="987" from-port="0" to-layer="988" to-port="1" />
+		<edge from-layer="988" from-port="2" to-layer="989" to-port="1" />
+		<edge from-layer="989" from-port="2" to-layer="991" to-port="0" />
+		<edge from-layer="990" from-port="0" to-layer="991" to-port="1" />
+		<edge from-layer="991" from-port="2" to-layer="1006" to-port="0" />
+		<edge from-layer="991" from-port="2" to-layer="992" to-port="0" />
+		<edge from-layer="991" from-port="2" to-layer="998" to-port="0" />
+		<edge from-layer="992" from-port="1" to-layer="995" to-port="0" />
+		<edge from-layer="993" from-port="0" to-layer="995" to-port="1" />
+		<edge from-layer="994" from-port="0" to-layer="995" to-port="2" />
+		<edge from-layer="995" from-port="3" to-layer="997" to-port="0" />
+		<edge from-layer="996" from-port="0" to-layer="997" to-port="1" />
+		<edge from-layer="997" from-port="2" to-layer="1005" to-port="0" />
+		<edge from-layer="998" from-port="1" to-layer="1001" to-port="0" />
+		<edge from-layer="999" from-port="0" to-layer="1001" to-port="1" />
+		<edge from-layer="1000" from-port="0" to-layer="1001" to-port="2" />
+		<edge from-layer="1001" from-port="3" to-layer="1003" to-port="0" />
+		<edge from-layer="1002" from-port="0" to-layer="1003" to-port="1" />
+		<edge from-layer="1003" from-port="2" to-layer="1005" to-port="1" />
+		<edge from-layer="1004" from-port="0" to-layer="1005" to-port="2" />
+		<edge from-layer="1005" from-port="3" to-layer="1006" to-port="1" />
+		<edge from-layer="1006" from-port="2" to-layer="1008" to-port="0" />
+		<edge from-layer="1007" from-port="0" to-layer="1008" to-port="1" />
+		<edge from-layer="1008" from-port="2" to-layer="1009" to-port="1" />
+		<edge from-layer="1009" from-port="2" to-layer="1010" to-port="0" />
+		<edge from-layer="1010" from-port="2" to-layer="1013" to-port="0" />
+		<edge from-layer="1010" from-port="2" to-layer="1012" to-port="0" />
+		<edge from-layer="1011" from-port="0" to-layer="1012" to-port="1" />
+		<edge from-layer="1012" from-port="2" to-layer="1013" to-port="1" />
+		<edge from-layer="1013" from-port="2" to-layer="1015" to-port="0" />
+		<edge from-layer="1013" from-port="2" to-layer="1021" to-port="0" />
+		<edge from-layer="1014" from-port="0" to-layer="1015" to-port="1" />
+		<edge from-layer="1015" from-port="2" to-layer="1017" to-port="0" />
+		<edge from-layer="1016" from-port="0" to-layer="1017" to-port="1" />
+		<edge from-layer="1017" from-port="2" to-layer="1019" to-port="0" />
+		<edge from-layer="1018" from-port="0" to-layer="1019" to-port="1" />
+		<edge from-layer="1019" from-port="2" to-layer="1020" to-port="0" />
+		<edge from-layer="1020" from-port="1" to-layer="1021" to-port="1" />
 		<edge from-layer="1021" from-port="2" to-layer="1023" to-port="0" />
 		<edge from-layer="1022" from-port="0" to-layer="1023" to-port="1" />
 		<edge from-layer="1023" from-port="2" to-layer="1025" to-port="0" />
 		<edge from-layer="1024" from-port="0" to-layer="1025" to-port="1" />
-		<edge from-layer="1025" from-port="2" to-layer="1026" to-port="0" />
-		<edge from-layer="1026" from-port="1" to-layer="1027" to-port="1" />
-		<edge from-layer="1027" from-port="2" to-layer="1029" to-port="0" />
-		<edge from-layer="1028" from-port="0" to-layer="1029" to-port="1" />
-		<edge from-layer="1029" from-port="2" to-layer="1031" to-port="0" />
-		<edge from-layer="1030" from-port="0" to-layer="1031" to-port="1" />
-		<edge from-layer="1031" from-port="2" to-layer="1157" to-port="1" />
-		<edge from-layer="1031" from-port="2" to-layer="1034" to-port="0" />
-		<edge from-layer="1031" from-port="2" to-layer="1101" to-port="0" />
-		<edge from-layer="1031" from-port="2" to-layer="1065" to-port="0" />
-		<edge from-layer="1032" from-port="0" to-layer="1034" to-port="3" />
-		<edge from-layer="1032" from-port="0" to-layer="1065" to-port="3" />
-		<edge from-layer="1032" from-port="0" to-layer="1065" to-port="1" />
-		<edge from-layer="1032" from-port="0" to-layer="1101" to-port="1" />
-		<edge from-layer="1032" from-port="0" to-layer="1101" to-port="3" />
-		<edge from-layer="1032" from-port="0" to-layer="1034" to-port="1" />
-		<edge from-layer="1033" from-port="0" to-layer="1065" to-port="2" />
-		<edge from-layer="1033" from-port="0" to-layer="1065" to-port="4" />
-		<edge from-layer="1033" from-port="0" to-layer="1034" to-port="2" />
-		<edge from-layer="1033" from-port="0" to-layer="1101" to-port="2" />
-		<edge from-layer="1033" from-port="0" to-layer="1101" to-port="4" />
-		<edge from-layer="1033" from-port="0" to-layer="1034" to-port="4" />
-		<edge from-layer="1034" from-port="5" to-layer="1041" to-port="0" />
-		<edge from-layer="1035" from-port="0" to-layer="1036" to-port="0" />
-		<edge from-layer="1036" from-port="1" to-layer="1038" to-port="0" />
+		<edge from-layer="1025" from-port="2" to-layer="1027" to-port="0" />
+		<edge from-layer="1025" from-port="2" to-layer="1040" to-port="1" />
+		<edge from-layer="1026" from-port="0" to-layer="1027" to-port="1" />
+		<edge from-layer="1027" from-port="2" to-layer="1028" to-port="1" />
+		<edge from-layer="1028" from-port="2" to-layer="1034" to-port="0" />
+		<edge from-layer="1028" from-port="2" to-layer="1030" to-port="0" />
+		<edge from-layer="1029" from-port="0" to-layer="1030" to-port="1" />
+		<edge from-layer="1030" from-port="2" to-layer="1031" to-port="0" />
+		<edge from-layer="1031" from-port="1" to-layer="1033" to-port="0" />
+		<edge from-layer="1032" from-port="0" to-layer="1033" to-port="1" />
+		<edge from-layer="1033" from-port="2" to-layer="1034" to-port="1" />
+		<edge from-layer="1034" from-port="2" to-layer="1036" to-port="0" />
+		<edge from-layer="1035" from-port="0" to-layer="1036" to-port="1" />
+		<edge from-layer="1036" from-port="2" to-layer="1038" to-port="0" />
 		<edge from-layer="1037" from-port="0" to-layer="1038" to-port="1" />
-		<edge from-layer="1038" from-port="2" to-layer="1040" to-port="0" />
-		<edge from-layer="1039" from-port="0" to-layer="1040" to-port="1" />
-		<edge from-layer="1040" from-port="2" to-layer="1041" to-port="1" />
-		<edge from-layer="1041" from-port="2" to-layer="1042" to-port="1" />
-		<edge from-layer="1042" from-port="2" to-layer="1045" to-port="0" />
-		<edge from-layer="1043" from-port="0" to-layer="1045" to-port="1" />
-		<edge from-layer="1043" from-port="0" to-layer="1045" to-port="3" />
-		<edge from-layer="1044" from-port="0" to-layer="1045" to-port="2" />
-		<edge from-layer="1044" from-port="0" to-layer="1045" to-port="4" />
-		<edge from-layer="1045" from-port="5" to-layer="1061" to-port="0" />
-		<edge from-layer="1045" from-port="5" to-layer="1052" to-port="0" />
-		<edge from-layer="1045" from-port="5" to-layer="1046" to-port="0" />
-		<edge from-layer="1046" from-port="1" to-layer="1049" to-port="0" />
-		<edge from-layer="1047" from-port="0" to-layer="1049" to-port="1" />
-		<edge from-layer="1048" from-port="0" to-layer="1049" to-port="2" />
-		<edge from-layer="1049" from-port="3" to-layer="1051" to-port="0" />
-		<edge from-layer="1050" from-port="0" to-layer="1051" to-port="1" />
-		<edge from-layer="1051" from-port="2" to-layer="1060" to-port="0" />
-		<edge from-layer="1052" from-port="1" to-layer="1055" to-port="0" />
-		<edge from-layer="1053" from-port="0" to-layer="1055" to-port="1" />
-		<edge from-layer="1054" from-port="0" to-layer="1055" to-port="2" />
-		<edge from-layer="1055" from-port="3" to-layer="1057" to-port="0" />
+		<edge from-layer="1038" from-port="2" to-layer="1039" to-port="1" />
+		<edge from-layer="1039" from-port="2" to-layer="1040" to-port="0" />
+		<edge from-layer="1040" from-port="2" to-layer="1043" to-port="0" />
+		<edge from-layer="1040" from-port="2" to-layer="1042" to-port="0" />
+		<edge from-layer="1041" from-port="0" to-layer="1042" to-port="1" />
+		<edge from-layer="1042" from-port="2" to-layer="1043" to-port="1" />
+		<edge from-layer="1043" from-port="2" to-layer="1045" to-port="0" />
+		<edge from-layer="1043" from-port="2" to-layer="1051" to-port="0" />
+		<edge from-layer="1044" from-port="0" to-layer="1045" to-port="1" />
+		<edge from-layer="1045" from-port="2" to-layer="1047" to-port="0" />
+		<edge from-layer="1046" from-port="0" to-layer="1047" to-port="1" />
+		<edge from-layer="1047" from-port="2" to-layer="1049" to-port="0" />
+		<edge from-layer="1048" from-port="0" to-layer="1049" to-port="1" />
+		<edge from-layer="1049" from-port="2" to-layer="1050" to-port="0" />
+		<edge from-layer="1050" from-port="1" to-layer="1051" to-port="1" />
+		<edge from-layer="1051" from-port="2" to-layer="1053" to-port="0" />
+		<edge from-layer="1052" from-port="0" to-layer="1053" to-port="1" />
+		<edge from-layer="1053" from-port="2" to-layer="1055" to-port="0" />
+		<edge from-layer="1054" from-port="0" to-layer="1055" to-port="1" />
+		<edge from-layer="1055" from-port="2" to-layer="1106" to-port="0" />
+		<edge from-layer="1055" from-port="2" to-layer="1057" to-port="0" />
+		<edge from-layer="1055" from-port="2" to-layer="1079" to-port="0" />
+		<edge from-layer="1055" from-port="2" to-layer="1147" to-port="1" />
 		<edge from-layer="1056" from-port="0" to-layer="1057" to-port="1" />
-		<edge from-layer="1057" from-port="2" to-layer="1060" to-port="1" />
-		<edge from-layer="1058" from-port="0" to-layer="1060" to-port="2" />
-		<edge from-layer="1059" from-port="0" to-layer="1060" to-port="3" />
-		<edge from-layer="1060" from-port="4" to-layer="1061" to-port="1" />
-		<edge from-layer="1061" from-port="2" to-layer="1063" to-port="0" />
-		<edge from-layer="1062" from-port="0" to-layer="1063" to-port="1" />
-		<edge from-layer="1063" from-port="2" to-layer="1095" to-port="0" />
-		<edge from-layer="1064" from-port="0" to-layer="1073" to-port="0" />
-		<edge from-layer="1065" from-port="5" to-layer="1072" to-port="0" />
-		<edge from-layer="1066" from-port="0" to-layer="1067" to-port="0" />
-		<edge from-layer="1067" from-port="1" to-layer="1069" to-port="0" />
-		<edge from-layer="1068" from-port="0" to-layer="1069" to-port="1" />
-		<edge from-layer="1069" from-port="2" to-layer="1071" to-port="0" />
-		<edge from-layer="1070" from-port="0" to-layer="1071" to-port="1" />
-		<edge from-layer="1071" from-port="2" to-layer="1072" to-port="1" />
-		<edge from-layer="1072" from-port="2" to-layer="1073" to-port="1" />
-		<edge from-layer="1073" from-port="2" to-layer="1076" to-port="0" />
-		<edge from-layer="1074" from-port="0" to-layer="1076" to-port="1" />
-		<edge from-layer="1074" from-port="0" to-layer="1076" to-port="3" />
-		<edge from-layer="1075" from-port="0" to-layer="1076" to-port="2" />
-		<edge from-layer="1075" from-port="0" to-layer="1076" to-port="4" />
-		<edge from-layer="1076" from-port="5" to-layer="1092" to-port="0" />
-		<edge from-layer="1076" from-port="5" to-layer="1077" to-port="0" />
-		<edge from-layer="1076" from-port="5" to-layer="1083" to-port="0" />
-		<edge from-layer="1077" from-port="1" to-layer="1080" to-port="0" />
-		<edge from-layer="1078" from-port="0" to-layer="1080" to-port="1" />
-		<edge from-layer="1079" from-port="0" to-layer="1080" to-port="2" />
-		<edge from-layer="1080" from-port="3" to-layer="1082" to-port="0" />
-		<edge from-layer="1081" from-port="0" to-layer="1082" to-port="1" />
-		<edge from-layer="1082" from-port="2" to-layer="1091" to-port="0" />
-		<edge from-layer="1083" from-port="1" to-layer="1086" to-port="0" />
-		<edge from-layer="1084" from-port="0" to-layer="1086" to-port="1" />
-		<edge from-layer="1085" from-port="0" to-layer="1086" to-port="2" />
-		<edge from-layer="1086" from-port="3" to-layer="1088" to-port="0" />
-		<edge from-layer="1087" from-port="0" to-layer="1088" to-port="1" />
-		<edge from-layer="1088" from-port="2" to-layer="1091" to-port="1" />
-		<edge from-layer="1089" from-port="0" to-layer="1091" to-port="2" />
-		<edge from-layer="1090" from-port="0" to-layer="1091" to-port="3" />
-		<edge from-layer="1091" from-port="4" to-layer="1092" to-port="1" />
-		<edge from-layer="1092" from-port="2" to-layer="1094" to-port="0" />
-		<edge from-layer="1093" from-port="0" to-layer="1094" to-port="1" />
-		<edge from-layer="1094" from-port="2" to-layer="1095" to-port="1" />
-		<edge from-layer="1095" from-port="2" to-layer="1097" to-port="0" />
-		<edge from-layer="1096" from-port="0" to-layer="1097" to-port="1" />
-		<edge from-layer="1097" from-port="2" to-layer="1098" to-port="0" />
-		<edge from-layer="1098" from-port="2" to-layer="1099" to-port="0" />
-		<edge from-layer="1099" from-port="1" to-layer="1128" to-port="0" />
-		<edge from-layer="1100" from-port="0" to-layer="1109" to-port="0" />
-		<edge from-layer="1101" from-port="5" to-layer="1108" to-port="0" />
-		<edge from-layer="1102" from-port="0" to-layer="1103" to-port="0" />
-		<edge from-layer="1103" from-port="1" to-layer="1105" to-port="0" />
-		<edge from-layer="1104" from-port="0" to-layer="1105" to-port="1" />
-		<edge from-layer="1105" from-port="2" to-layer="1107" to-port="0" />
-		<edge from-layer="1106" from-port="0" to-layer="1107" to-port="1" />
-		<edge from-layer="1107" from-port="2" to-layer="1108" to-port="1" />
-		<edge from-layer="1108" from-port="2" to-layer="1109" to-port="1" />
-		<edge from-layer="1109" from-port="2" to-layer="1116" to-port="0" />
-		<edge from-layer="1109" from-port="2" to-layer="1110" to-port="0" />
-		<edge from-layer="1109" from-port="2" to-layer="1125" to-port="0" />
-		<edge from-layer="1110" from-port="1" to-layer="1113" to-port="0" />
-		<edge from-layer="1111" from-port="0" to-layer="1113" to-port="1" />
-		<edge from-layer="1112" from-port="0" to-layer="1113" to-port="2" />
-		<edge from-layer="1113" from-port="3" to-layer="1115" to-port="0" />
-		<edge from-layer="1114" from-port="0" to-layer="1115" to-port="1" />
-		<edge from-layer="1115" from-port="2" to-layer="1124" to-port="0" />
-		<edge from-layer="1116" from-port="1" to-layer="1119" to-port="0" />
-		<edge from-layer="1117" from-port="0" to-layer="1119" to-port="1" />
-		<edge from-layer="1118" from-port="0" to-layer="1119" to-port="2" />
-		<edge from-layer="1119" from-port="3" to-layer="1121" to-port="0" />
-		<edge from-layer="1120" from-port="0" to-layer="1121" to-port="1" />
-		<edge from-layer="1121" from-port="2" to-layer="1124" to-port="1" />
-		<edge from-layer="1122" from-port="0" to-layer="1124" to-port="2" />
-		<edge from-layer="1123" from-port="0" to-layer="1124" to-port="3" />
-		<edge from-layer="1124" from-port="4" to-layer="1125" to-port="1" />
-		<edge from-layer="1125" from-port="2" to-layer="1127" to-port="0" />
-		<edge from-layer="1126" from-port="0" to-layer="1127" to-port="1" />
-		<edge from-layer="1127" from-port="2" to-layer="1128" to-port="1" />
-		<edge from-layer="1128" from-port="2" to-layer="1131" to-port="0" />
-		<edge from-layer="1129" from-port="0" to-layer="1131" to-port="1" />
-		<edge from-layer="1129" from-port="0" to-layer="1131" to-port="3" />
-		<edge from-layer="1130" from-port="0" to-layer="1131" to-port="2" />
-		<edge from-layer="1130" from-port="0" to-layer="1131" to-port="4" />
-		<edge from-layer="1131" from-port="5" to-layer="1133" to-port="0" />
-		<edge from-layer="1132" from-port="0" to-layer="1133" to-port="1" />
-		<edge from-layer="1133" from-port="2" to-layer="1140" to-port="0" />
-		<edge from-layer="1133" from-port="2" to-layer="1148" to-port="0" />
-		<edge from-layer="1133" from-port="2" to-layer="1134" to-port="0" />
-		<edge from-layer="1134" from-port="1" to-layer="1137" to-port="0" />
-		<edge from-layer="1135" from-port="0" to-layer="1137" to-port="1" />
-		<edge from-layer="1136" from-port="0" to-layer="1137" to-port="2" />
-		<edge from-layer="1137" from-port="3" to-layer="1139" to-port="0" />
-		<edge from-layer="1138" from-port="0" to-layer="1139" to-port="1" />
-		<edge from-layer="1139" from-port="2" to-layer="1147" to-port="0" />
-		<edge from-layer="1140" from-port="1" to-layer="1143" to-port="0" />
-		<edge from-layer="1141" from-port="0" to-layer="1143" to-port="1" />
-		<edge from-layer="1142" from-port="0" to-layer="1143" to-port="2" />
-		<edge from-layer="1143" from-port="3" to-layer="1145" to-port="0" />
+		<edge from-layer="1057" from-port="2" to-layer="1058" to-port="1" />
+		<edge from-layer="1058" from-port="2" to-layer="1074" to-port="0" />
+		<edge from-layer="1058" from-port="2" to-layer="1059" to-port="0" />
+		<edge from-layer="1058" from-port="2" to-layer="1065" to-port="0" />
+		<edge from-layer="1059" from-port="1" to-layer="1062" to-port="0" />
+		<edge from-layer="1060" from-port="0" to-layer="1062" to-port="1" />
+		<edge from-layer="1061" from-port="0" to-layer="1062" to-port="2" />
+		<edge from-layer="1062" from-port="3" to-layer="1064" to-port="0" />
+		<edge from-layer="1063" from-port="0" to-layer="1064" to-port="1" />
+		<edge from-layer="1064" from-port="2" to-layer="1073" to-port="0" />
+		<edge from-layer="1065" from-port="1" to-layer="1068" to-port="0" />
+		<edge from-layer="1066" from-port="0" to-layer="1068" to-port="1" />
+		<edge from-layer="1067" from-port="0" to-layer="1068" to-port="2" />
+		<edge from-layer="1068" from-port="3" to-layer="1070" to-port="0" />
+		<edge from-layer="1069" from-port="0" to-layer="1070" to-port="1" />
+		<edge from-layer="1070" from-port="2" to-layer="1073" to-port="1" />
+		<edge from-layer="1071" from-port="0" to-layer="1073" to-port="2" />
+		<edge from-layer="1072" from-port="0" to-layer="1073" to-port="3" />
+		<edge from-layer="1073" from-port="4" to-layer="1074" to-port="1" />
+		<edge from-layer="1074" from-port="2" to-layer="1076" to-port="0" />
+		<edge from-layer="1075" from-port="0" to-layer="1076" to-port="1" />
+		<edge from-layer="1076" from-port="2" to-layer="1099" to-port="0" />
+		<edge from-layer="1077" from-port="0" to-layer="1080" to-port="0" />
+		<edge from-layer="1078" from-port="0" to-layer="1079" to-port="1" />
+		<edge from-layer="1079" from-port="2" to-layer="1080" to-port="1" />
+		<edge from-layer="1080" from-port="2" to-layer="1087" to-port="0" />
+		<edge from-layer="1080" from-port="2" to-layer="1081" to-port="0" />
+		<edge from-layer="1080" from-port="2" to-layer="1096" to-port="0" />
+		<edge from-layer="1081" from-port="1" to-layer="1084" to-port="0" />
+		<edge from-layer="1082" from-port="0" to-layer="1084" to-port="1" />
+		<edge from-layer="1083" from-port="0" to-layer="1084" to-port="2" />
+		<edge from-layer="1084" from-port="3" to-layer="1086" to-port="0" />
+		<edge from-layer="1085" from-port="0" to-layer="1086" to-port="1" />
+		<edge from-layer="1086" from-port="2" to-layer="1095" to-port="0" />
+		<edge from-layer="1087" from-port="1" to-layer="1090" to-port="0" />
+		<edge from-layer="1088" from-port="0" to-layer="1090" to-port="1" />
+		<edge from-layer="1089" from-port="0" to-layer="1090" to-port="2" />
+		<edge from-layer="1090" from-port="3" to-layer="1092" to-port="0" />
+		<edge from-layer="1091" from-port="0" to-layer="1092" to-port="1" />
+		<edge from-layer="1092" from-port="2" to-layer="1095" to-port="1" />
+		<edge from-layer="1093" from-port="0" to-layer="1095" to-port="2" />
+		<edge from-layer="1094" from-port="0" to-layer="1095" to-port="3" />
+		<edge from-layer="1095" from-port="4" to-layer="1096" to-port="1" />
+		<edge from-layer="1096" from-port="2" to-layer="1098" to-port="0" />
+		<edge from-layer="1097" from-port="0" to-layer="1098" to-port="1" />
+		<edge from-layer="1098" from-port="2" to-layer="1099" to-port="1" />
+		<edge from-layer="1099" from-port="2" to-layer="1101" to-port="0" />
+		<edge from-layer="1100" from-port="0" to-layer="1101" to-port="1" />
+		<edge from-layer="1101" from-port="2" to-layer="1102" to-port="0" />
+		<edge from-layer="1102" from-port="2" to-layer="1103" to-port="0" />
+		<edge from-layer="1103" from-port="1" to-layer="1126" to-port="0" />
+		<edge from-layer="1104" from-port="0" to-layer="1107" to-port="0" />
+		<edge from-layer="1105" from-port="0" to-layer="1106" to-port="1" />
+		<edge from-layer="1106" from-port="2" to-layer="1107" to-port="1" />
+		<edge from-layer="1107" from-port="2" to-layer="1114" to-port="0" />
+		<edge from-layer="1107" from-port="2" to-layer="1108" to-port="0" />
+		<edge from-layer="1107" from-port="2" to-layer="1123" to-port="0" />
+		<edge from-layer="1108" from-port="1" to-layer="1111" to-port="0" />
+		<edge from-layer="1109" from-port="0" to-layer="1111" to-port="1" />
+		<edge from-layer="1110" from-port="0" to-layer="1111" to-port="2" />
+		<edge from-layer="1111" from-port="3" to-layer="1113" to-port="0" />
+		<edge from-layer="1112" from-port="0" to-layer="1113" to-port="1" />
+		<edge from-layer="1113" from-port="2" to-layer="1122" to-port="0" />
+		<edge from-layer="1114" from-port="1" to-layer="1117" to-port="0" />
+		<edge from-layer="1115" from-port="0" to-layer="1117" to-port="1" />
+		<edge from-layer="1116" from-port="0" to-layer="1117" to-port="2" />
+		<edge from-layer="1117" from-port="3" to-layer="1119" to-port="0" />
+		<edge from-layer="1118" from-port="0" to-layer="1119" to-port="1" />
+		<edge from-layer="1119" from-port="2" to-layer="1122" to-port="1" />
+		<edge from-layer="1120" from-port="0" to-layer="1122" to-port="2" />
+		<edge from-layer="1121" from-port="0" to-layer="1122" to-port="3" />
+		<edge from-layer="1122" from-port="4" to-layer="1123" to-port="1" />
+		<edge from-layer="1123" from-port="2" to-layer="1125" to-port="0" />
+		<edge from-layer="1124" from-port="0" to-layer="1125" to-port="1" />
+		<edge from-layer="1125" from-port="2" to-layer="1126" to-port="1" />
+		<edge from-layer="1126" from-port="2" to-layer="1128" to-port="0" />
+		<edge from-layer="1127" from-port="0" to-layer="1128" to-port="1" />
+		<edge from-layer="1128" from-port="2" to-layer="1129" to-port="0" />
+		<edge from-layer="1128" from-port="2" to-layer="1143" to-port="0" />
+		<edge from-layer="1128" from-port="2" to-layer="1135" to-port="0" />
+		<edge from-layer="1129" from-port="1" to-layer="1132" to-port="0" />
+		<edge from-layer="1130" from-port="0" to-layer="1132" to-port="1" />
+		<edge from-layer="1131" from-port="0" to-layer="1132" to-port="2" />
+		<edge from-layer="1132" from-port="3" to-layer="1134" to-port="0" />
+		<edge from-layer="1133" from-port="0" to-layer="1134" to-port="1" />
+		<edge from-layer="1134" from-port="2" to-layer="1142" to-port="0" />
+		<edge from-layer="1135" from-port="1" to-layer="1138" to-port="0" />
+		<edge from-layer="1136" from-port="0" to-layer="1138" to-port="1" />
+		<edge from-layer="1137" from-port="0" to-layer="1138" to-port="2" />
+		<edge from-layer="1138" from-port="3" to-layer="1140" to-port="0" />
+		<edge from-layer="1139" from-port="0" to-layer="1140" to-port="1" />
+		<edge from-layer="1140" from-port="2" to-layer="1142" to-port="1" />
+		<edge from-layer="1141" from-port="0" to-layer="1142" to-port="2" />
+		<edge from-layer="1142" from-port="3" to-layer="1143" to-port="1" />
+		<edge from-layer="1143" from-port="2" to-layer="1145" to-port="0" />
 		<edge from-layer="1144" from-port="0" to-layer="1145" to-port="1" />
-		<edge from-layer="1145" from-port="2" to-layer="1147" to-port="1" />
-		<edge from-layer="1146" from-port="0" to-layer="1147" to-port="2" />
-		<edge from-layer="1147" from-port="3" to-layer="1148" to-port="1" />
-		<edge from-layer="1148" from-port="2" to-layer="1155" to-port="0" />
-		<edge from-layer="1149" from-port="0" to-layer="1150" to-port="0" />
-		<edge from-layer="1150" from-port="1" to-layer="1152" to-port="0" />
+		<edge from-layer="1145" from-port="2" to-layer="1146" to-port="1" />
+		<edge from-layer="1146" from-port="2" to-layer="1147" to-port="0" />
+		<edge from-layer="1147" from-port="2" to-layer="1150" to-port="0" />
+		<edge from-layer="1147" from-port="2" to-layer="1149" to-port="0" />
+		<edge from-layer="1148" from-port="0" to-layer="1149" to-port="1" />
+		<edge from-layer="1149" from-port="2" to-layer="1150" to-port="1" />
+		<edge from-layer="1150" from-port="2" to-layer="1158" to-port="0" />
+		<edge from-layer="1150" from-port="2" to-layer="1152" to-port="0" />
 		<edge from-layer="1151" from-port="0" to-layer="1152" to-port="1" />
 		<edge from-layer="1152" from-port="2" to-layer="1154" to-port="0" />
 		<edge from-layer="1153" from-port="0" to-layer="1154" to-port="1" />
-		<edge from-layer="1154" from-port="2" to-layer="1155" to-port="1" />
-		<edge from-layer="1155" from-port="2" to-layer="1156" to-port="1" />
+		<edge from-layer="1154" from-port="2" to-layer="1156" to-port="0" />
+		<edge from-layer="1155" from-port="0" to-layer="1156" to-port="1" />
 		<edge from-layer="1156" from-port="2" to-layer="1157" to-port="0" />
-		<edge from-layer="1157" from-port="2" to-layer="1159" to-port="0" />
-		<edge from-layer="1157" from-port="2" to-layer="1160" to-port="0" />
-		<edge from-layer="1158" from-port="0" to-layer="1159" to-port="1" />
-		<edge from-layer="1159" from-port="2" to-layer="1160" to-port="1" />
-		<edge from-layer="1160" from-port="2" to-layer="1168" to-port="0" />
+		<edge from-layer="1157" from-port="1" to-layer="1158" to-port="1" />
+		<edge from-layer="1158" from-port="2" to-layer="1160" to-port="0" />
+		<edge from-layer="1159" from-port="0" to-layer="1160" to-port="1" />
 		<edge from-layer="1160" from-port="2" to-layer="1162" to-port="0" />
 		<edge from-layer="1161" from-port="0" to-layer="1162" to-port="1" />
+		<edge from-layer="1162" from-port="2" to-layer="1177" to-port="1" />
 		<edge from-layer="1162" from-port="2" to-layer="1164" to-port="0" />
 		<edge from-layer="1163" from-port="0" to-layer="1164" to-port="1" />
-		<edge from-layer="1164" from-port="2" to-layer="1166" to-port="0" />
-		<edge from-layer="1165" from-port="0" to-layer="1166" to-port="1" />
-		<edge from-layer="1166" from-port="2" to-layer="1167" to-port="0" />
-		<edge from-layer="1167" from-port="1" to-layer="1168" to-port="1" />
-		<edge from-layer="1168" from-port="2" to-layer="1170" to-port="0" />
+		<edge from-layer="1164" from-port="2" to-layer="1165" to-port="1" />
+		<edge from-layer="1165" from-port="2" to-layer="1167" to-port="0" />
+		<edge from-layer="1165" from-port="2" to-layer="1171" to-port="0" />
+		<edge from-layer="1166" from-port="0" to-layer="1167" to-port="1" />
+		<edge from-layer="1167" from-port="2" to-layer="1168" to-port="0" />
+		<edge from-layer="1168" from-port="1" to-layer="1170" to-port="0" />
 		<edge from-layer="1169" from-port="0" to-layer="1170" to-port="1" />
-		<edge from-layer="1170" from-port="2" to-layer="1172" to-port="0" />
-		<edge from-layer="1171" from-port="0" to-layer="1172" to-port="1" />
-		<edge from-layer="1172" from-port="2" to-layer="1175" to-port="0" />
-		<edge from-layer="1172" from-port="2" to-layer="1203" to-port="1" />
-		<edge from-layer="1173" from-port="0" to-layer="1175" to-port="1" />
-		<edge from-layer="1173" from-port="0" to-layer="1175" to-port="3" />
-		<edge from-layer="1174" from-port="0" to-layer="1175" to-port="2" />
-		<edge from-layer="1174" from-port="0" to-layer="1175" to-port="4" />
-		<edge from-layer="1175" from-port="5" to-layer="1182" to-port="0" />
-		<edge from-layer="1176" from-port="0" to-layer="1177" to-port="0" />
-		<edge from-layer="1177" from-port="1" to-layer="1179" to-port="0" />
+		<edge from-layer="1170" from-port="2" to-layer="1171" to-port="1" />
+		<edge from-layer="1171" from-port="2" to-layer="1173" to-port="0" />
+		<edge from-layer="1172" from-port="0" to-layer="1173" to-port="1" />
+		<edge from-layer="1173" from-port="2" to-layer="1175" to-port="0" />
+		<edge from-layer="1174" from-port="0" to-layer="1175" to-port="1" />
+		<edge from-layer="1175" from-port="2" to-layer="1176" to-port="1" />
+		<edge from-layer="1176" from-port="2" to-layer="1177" to-port="0" />
+		<edge from-layer="1177" from-port="2" to-layer="1179" to-port="0" />
+		<edge from-layer="1177" from-port="2" to-layer="1180" to-port="0" />
 		<edge from-layer="1178" from-port="0" to-layer="1179" to-port="1" />
-		<edge from-layer="1179" from-port="2" to-layer="1181" to-port="0" />
-		<edge from-layer="1180" from-port="0" to-layer="1181" to-port="1" />
-		<edge from-layer="1181" from-port="2" to-layer="1182" to-port="1" />
-		<edge from-layer="1182" from-port="2" to-layer="1183" to-port="1" />
-		<edge from-layer="1183" from-port="2" to-layer="1189" to-port="0" />
-		<edge from-layer="1183" from-port="2" to-layer="1185" to-port="0" />
-		<edge from-layer="1184" from-port="0" to-layer="1185" to-port="1" />
-		<edge from-layer="1185" from-port="2" to-layer="1186" to-port="0" />
-		<edge from-layer="1186" from-port="1" to-layer="1188" to-port="0" />
-		<edge from-layer="1187" from-port="0" to-layer="1188" to-port="1" />
-		<edge from-layer="1188" from-port="2" to-layer="1189" to-port="1" />
-		<edge from-layer="1189" from-port="2" to-layer="1191" to-port="0" />
-		<edge from-layer="1190" from-port="0" to-layer="1191" to-port="1" />
-		<edge from-layer="1191" from-port="2" to-layer="1194" to-port="0" />
-		<edge from-layer="1192" from-port="0" to-layer="1194" to-port="3" />
-		<edge from-layer="1192" from-port="0" to-layer="1194" to-port="1" />
-		<edge from-layer="1193" from-port="0" to-layer="1194" to-port="4" />
-		<edge from-layer="1193" from-port="0" to-layer="1194" to-port="2" />
-		<edge from-layer="1194" from-port="5" to-layer="1201" to-port="0" />
-		<edge from-layer="1195" from-port="0" to-layer="1196" to-port="0" />
-		<edge from-layer="1196" from-port="1" to-layer="1198" to-port="0" />
-		<edge from-layer="1197" from-port="0" to-layer="1198" to-port="1" />
-		<edge from-layer="1198" from-port="2" to-layer="1200" to-port="0" />
-		<edge from-layer="1199" from-port="0" to-layer="1200" to-port="1" />
-		<edge from-layer="1200" from-port="2" to-layer="1201" to-port="1" />
-		<edge from-layer="1201" from-port="2" to-layer="1202" to-port="1" />
-		<edge from-layer="1202" from-port="2" to-layer="1203" to-port="0" />
-		<edge from-layer="1203" from-port="2" to-layer="1205" to-port="0" />
-		<edge from-layer="1203" from-port="2" to-layer="1206" to-port="0" />
-		<edge from-layer="1204" from-port="0" to-layer="1205" to-port="1" />
-		<edge from-layer="1205" from-port="2" to-layer="1206" to-port="1" />
-		<edge from-layer="1206" from-port="2" to-layer="1214" to-port="0" />
-		<edge from-layer="1206" from-port="2" to-layer="1208" to-port="0" />
-		<edge from-layer="1207" from-port="0" to-layer="1208" to-port="1" />
-		<edge from-layer="1208" from-port="2" to-layer="1210" to-port="0" />
-		<edge from-layer="1209" from-port="0" to-layer="1210" to-port="1" />
-		<edge from-layer="1210" from-port="2" to-layer="1212" to-port="0" />
-		<edge from-layer="1211" from-port="0" to-layer="1212" to-port="1" />
-		<edge from-layer="1212" from-port="2" to-layer="1213" to-port="0" />
-		<edge from-layer="1213" from-port="1" to-layer="1214" to-port="1" />
-		<edge from-layer="1214" from-port="2" to-layer="1216" to-port="0" />
+		<edge from-layer="1179" from-port="2" to-layer="1180" to-port="1" />
+		<edge from-layer="1180" from-port="2" to-layer="1182" to-port="0" />
+		<edge from-layer="1180" from-port="2" to-layer="1188" to-port="0" />
+		<edge from-layer="1181" from-port="0" to-layer="1182" to-port="1" />
+		<edge from-layer="1182" from-port="2" to-layer="1184" to-port="0" />
+		<edge from-layer="1183" from-port="0" to-layer="1184" to-port="1" />
+		<edge from-layer="1184" from-port="2" to-layer="1186" to-port="0" />
+		<edge from-layer="1185" from-port="0" to-layer="1186" to-port="1" />
+		<edge from-layer="1186" from-port="2" to-layer="1187" to-port="0" />
+		<edge from-layer="1187" from-port="1" to-layer="1188" to-port="1" />
+		<edge from-layer="1188" from-port="2" to-layer="1190" to-port="0" />
+		<edge from-layer="1189" from-port="0" to-layer="1190" to-port="1" />
+		<edge from-layer="1190" from-port="2" to-layer="1192" to-port="0" />
+		<edge from-layer="1191" from-port="0" to-layer="1192" to-port="1" />
+		<edge from-layer="1192" from-port="2" to-layer="1194" to-port="0" />
+		<edge from-layer="1192" from-port="2" to-layer="1216" to-port="0" />
+		<edge from-layer="1192" from-port="2" to-layer="1284" to-port="1" />
+		<edge from-layer="1192" from-port="2" to-layer="1243" to-port="0" />
+		<edge from-layer="1193" from-port="0" to-layer="1194" to-port="1" />
+		<edge from-layer="1194" from-port="2" to-layer="1195" to-port="1" />
+		<edge from-layer="1195" from-port="2" to-layer="1211" to-port="0" />
+		<edge from-layer="1195" from-port="2" to-layer="1196" to-port="0" />
+		<edge from-layer="1195" from-port="2" to-layer="1202" to-port="0" />
+		<edge from-layer="1196" from-port="1" to-layer="1199" to-port="0" />
+		<edge from-layer="1197" from-port="0" to-layer="1199" to-port="1" />
+		<edge from-layer="1198" from-port="0" to-layer="1199" to-port="2" />
+		<edge from-layer="1199" from-port="3" to-layer="1201" to-port="0" />
+		<edge from-layer="1200" from-port="0" to-layer="1201" to-port="1" />
+		<edge from-layer="1201" from-port="2" to-layer="1210" to-port="0" />
+		<edge from-layer="1202" from-port="1" to-layer="1205" to-port="0" />
+		<edge from-layer="1203" from-port="0" to-layer="1205" to-port="1" />
+		<edge from-layer="1204" from-port="0" to-layer="1205" to-port="2" />
+		<edge from-layer="1205" from-port="3" to-layer="1207" to-port="0" />
+		<edge from-layer="1206" from-port="0" to-layer="1207" to-port="1" />
+		<edge from-layer="1207" from-port="2" to-layer="1210" to-port="1" />
+		<edge from-layer="1208" from-port="0" to-layer="1210" to-port="2" />
+		<edge from-layer="1209" from-port="0" to-layer="1210" to-port="3" />
+		<edge from-layer="1210" from-port="4" to-layer="1211" to-port="1" />
+		<edge from-layer="1211" from-port="2" to-layer="1213" to-port="0" />
+		<edge from-layer="1212" from-port="0" to-layer="1213" to-port="1" />
+		<edge from-layer="1213" from-port="2" to-layer="1236" to-port="0" />
+		<edge from-layer="1214" from-port="0" to-layer="1217" to-port="0" />
 		<edge from-layer="1215" from-port="0" to-layer="1216" to-port="1" />
-		<edge from-layer="1216" from-port="2" to-layer="1218" to-port="0" />
-		<edge from-layer="1217" from-port="0" to-layer="1218" to-port="1" />
-		<edge from-layer="1218" from-port="2" to-layer="1344" to-port="1" />
-		<edge from-layer="1218" from-port="2" to-layer="1288" to-port="0" />
-		<edge from-layer="1218" from-port="2" to-layer="1221" to-port="0" />
-		<edge from-layer="1218" from-port="2" to-layer="1252" to-port="0" />
-		<edge from-layer="1219" from-port="0" to-layer="1288" to-port="1" />
-		<edge from-layer="1219" from-port="0" to-layer="1288" to-port="3" />
+		<edge from-layer="1216" from-port="2" to-layer="1217" to-port="1" />
+		<edge from-layer="1217" from-port="2" to-layer="1233" to-port="0" />
+		<edge from-layer="1217" from-port="2" to-layer="1218" to-port="0" />
+		<edge from-layer="1217" from-port="2" to-layer="1224" to-port="0" />
+		<edge from-layer="1218" from-port="1" to-layer="1221" to-port="0" />
 		<edge from-layer="1219" from-port="0" to-layer="1221" to-port="1" />
-		<edge from-layer="1219" from-port="0" to-layer="1252" to-port="3" />
-		<edge from-layer="1219" from-port="0" to-layer="1252" to-port="1" />
-		<edge from-layer="1219" from-port="0" to-layer="1221" to-port="3" />
-		<edge from-layer="1220" from-port="0" to-layer="1252" to-port="2" />
-		<edge from-layer="1220" from-port="0" to-layer="1221" to-port="4" />
-		<edge from-layer="1220" from-port="0" to-layer="1252" to-port="4" />
-		<edge from-layer="1220" from-port="0" to-layer="1288" to-port="2" />
-		<edge from-layer="1220" from-port="0" to-layer="1288" to-port="4" />
 		<edge from-layer="1220" from-port="0" to-layer="1221" to-port="2" />
-		<edge from-layer="1221" from-port="5" to-layer="1228" to-port="0" />
-		<edge from-layer="1222" from-port="0" to-layer="1223" to-port="0" />
-		<edge from-layer="1223" from-port="1" to-layer="1225" to-port="0" />
-		<edge from-layer="1224" from-port="0" to-layer="1225" to-port="1" />
-		<edge from-layer="1225" from-port="2" to-layer="1227" to-port="0" />
-		<edge from-layer="1226" from-port="0" to-layer="1227" to-port="1" />
-		<edge from-layer="1227" from-port="2" to-layer="1228" to-port="1" />
-		<edge from-layer="1228" from-port="2" to-layer="1229" to-port="1" />
-		<edge from-layer="1229" from-port="2" to-layer="1232" to-port="0" />
-		<edge from-layer="1230" from-port="0" to-layer="1232" to-port="1" />
-		<edge from-layer="1230" from-port="0" to-layer="1232" to-port="3" />
-		<edge from-layer="1231" from-port="0" to-layer="1232" to-port="2" />
-		<edge from-layer="1231" from-port="0" to-layer="1232" to-port="4" />
-		<edge from-layer="1232" from-port="5" to-layer="1233" to-port="0" />
-		<edge from-layer="1232" from-port="5" to-layer="1239" to-port="0" />
-		<edge from-layer="1232" from-port="5" to-layer="1248" to-port="0" />
-		<edge from-layer="1233" from-port="1" to-layer="1236" to-port="0" />
-		<edge from-layer="1234" from-port="0" to-layer="1236" to-port="1" />
-		<edge from-layer="1235" from-port="0" to-layer="1236" to-port="2" />
-		<edge from-layer="1236" from-port="3" to-layer="1238" to-port="0" />
+		<edge from-layer="1221" from-port="3" to-layer="1223" to-port="0" />
+		<edge from-layer="1222" from-port="0" to-layer="1223" to-port="1" />
+		<edge from-layer="1223" from-port="2" to-layer="1232" to-port="0" />
+		<edge from-layer="1224" from-port="1" to-layer="1227" to-port="0" />
+		<edge from-layer="1225" from-port="0" to-layer="1227" to-port="1" />
+		<edge from-layer="1226" from-port="0" to-layer="1227" to-port="2" />
+		<edge from-layer="1227" from-port="3" to-layer="1229" to-port="0" />
+		<edge from-layer="1228" from-port="0" to-layer="1229" to-port="1" />
+		<edge from-layer="1229" from-port="2" to-layer="1232" to-port="1" />
+		<edge from-layer="1230" from-port="0" to-layer="1232" to-port="2" />
+		<edge from-layer="1231" from-port="0" to-layer="1232" to-port="3" />
+		<edge from-layer="1232" from-port="4" to-layer="1233" to-port="1" />
+		<edge from-layer="1233" from-port="2" to-layer="1235" to-port="0" />
+		<edge from-layer="1234" from-port="0" to-layer="1235" to-port="1" />
+		<edge from-layer="1235" from-port="2" to-layer="1236" to-port="1" />
+		<edge from-layer="1236" from-port="2" to-layer="1238" to-port="0" />
 		<edge from-layer="1237" from-port="0" to-layer="1238" to-port="1" />
-		<edge from-layer="1238" from-port="2" to-layer="1247" to-port="0" />
-		<edge from-layer="1239" from-port="1" to-layer="1242" to-port="0" />
-		<edge from-layer="1240" from-port="0" to-layer="1242" to-port="1" />
-		<edge from-layer="1241" from-port="0" to-layer="1242" to-port="2" />
-		<edge from-layer="1242" from-port="3" to-layer="1244" to-port="0" />
-		<edge from-layer="1243" from-port="0" to-layer="1244" to-port="1" />
-		<edge from-layer="1244" from-port="2" to-layer="1247" to-port="1" />
-		<edge from-layer="1245" from-port="0" to-layer="1247" to-port="2" />
-		<edge from-layer="1246" from-port="0" to-layer="1247" to-port="3" />
-		<edge from-layer="1247" from-port="4" to-layer="1248" to-port="1" />
-		<edge from-layer="1248" from-port="2" to-layer="1250" to-port="0" />
+		<edge from-layer="1238" from-port="2" to-layer="1239" to-port="0" />
+		<edge from-layer="1239" from-port="2" to-layer="1240" to-port="0" />
+		<edge from-layer="1240" from-port="1" to-layer="1263" to-port="0" />
+		<edge from-layer="1241" from-port="0" to-layer="1244" to-port="0" />
+		<edge from-layer="1242" from-port="0" to-layer="1243" to-port="1" />
+		<edge from-layer="1243" from-port="2" to-layer="1244" to-port="1" />
+		<edge from-layer="1244" from-port="2" to-layer="1260" to-port="0" />
+		<edge from-layer="1244" from-port="2" to-layer="1251" to-port="0" />
+		<edge from-layer="1244" from-port="2" to-layer="1245" to-port="0" />
+		<edge from-layer="1245" from-port="1" to-layer="1248" to-port="0" />
+		<edge from-layer="1246" from-port="0" to-layer="1248" to-port="1" />
+		<edge from-layer="1247" from-port="0" to-layer="1248" to-port="2" />
+		<edge from-layer="1248" from-port="3" to-layer="1250" to-port="0" />
 		<edge from-layer="1249" from-port="0" to-layer="1250" to-port="1" />
-		<edge from-layer="1250" from-port="2" to-layer="1282" to-port="0" />
-		<edge from-layer="1251" from-port="0" to-layer="1260" to-port="0" />
-		<edge from-layer="1252" from-port="5" to-layer="1259" to-port="0" />
-		<edge from-layer="1253" from-port="0" to-layer="1254" to-port="0" />
-		<edge from-layer="1254" from-port="1" to-layer="1256" to-port="0" />
+		<edge from-layer="1250" from-port="2" to-layer="1259" to-port="0" />
+		<edge from-layer="1251" from-port="1" to-layer="1254" to-port="0" />
+		<edge from-layer="1252" from-port="0" to-layer="1254" to-port="1" />
+		<edge from-layer="1253" from-port="0" to-layer="1254" to-port="2" />
+		<edge from-layer="1254" from-port="3" to-layer="1256" to-port="0" />
 		<edge from-layer="1255" from-port="0" to-layer="1256" to-port="1" />
-		<edge from-layer="1256" from-port="2" to-layer="1258" to-port="0" />
-		<edge from-layer="1257" from-port="0" to-layer="1258" to-port="1" />
-		<edge from-layer="1258" from-port="2" to-layer="1259" to-port="1" />
-		<edge from-layer="1259" from-port="2" to-layer="1260" to-port="1" />
-		<edge from-layer="1260" from-port="2" to-layer="1263" to-port="0" />
-		<edge from-layer="1261" from-port="0" to-layer="1263" to-port="3" />
-		<edge from-layer="1261" from-port="0" to-layer="1263" to-port="1" />
-		<edge from-layer="1262" from-port="0" to-layer="1263" to-port="2" />
-		<edge from-layer="1262" from-port="0" to-layer="1263" to-port="4" />
-		<edge from-layer="1263" from-port="5" to-layer="1270" to-port="0" />
-		<edge from-layer="1263" from-port="5" to-layer="1264" to-port="0" />
-		<edge from-layer="1263" from-port="5" to-layer="1279" to-port="0" />
-		<edge from-layer="1264" from-port="1" to-layer="1267" to-port="0" />
-		<edge from-layer="1265" from-port="0" to-layer="1267" to-port="1" />
-		<edge from-layer="1266" from-port="0" to-layer="1267" to-port="2" />
-		<edge from-layer="1267" from-port="3" to-layer="1269" to-port="0" />
-		<edge from-layer="1268" from-port="0" to-layer="1269" to-port="1" />
-		<edge from-layer="1269" from-port="2" to-layer="1278" to-port="0" />
-		<edge from-layer="1270" from-port="1" to-layer="1273" to-port="0" />
-		<edge from-layer="1271" from-port="0" to-layer="1273" to-port="1" />
-		<edge from-layer="1272" from-port="0" to-layer="1273" to-port="2" />
-		<edge from-layer="1273" from-port="3" to-layer="1275" to-port="0" />
-		<edge from-layer="1274" from-port="0" to-layer="1275" to-port="1" />
-		<edge from-layer="1275" from-port="2" to-layer="1278" to-port="1" />
-		<edge from-layer="1276" from-port="0" to-layer="1278" to-port="2" />
-		<edge from-layer="1277" from-port="0" to-layer="1278" to-port="3" />
-		<edge from-layer="1278" from-port="4" to-layer="1279" to-port="1" />
-		<edge from-layer="1279" from-port="2" to-layer="1281" to-port="0" />
-		<edge from-layer="1280" from-port="0" to-layer="1281" to-port="1" />
-		<edge from-layer="1281" from-port="2" to-layer="1282" to-port="1" />
-		<edge from-layer="1282" from-port="2" to-layer="1284" to-port="0" />
-		<edge from-layer="1283" from-port="0" to-layer="1284" to-port="1" />
-		<edge from-layer="1284" from-port="2" to-layer="1285" to-port="0" />
-		<edge from-layer="1285" from-port="2" to-layer="1286" to-port="0" />
-		<edge from-layer="1286" from-port="1" to-layer="1315" to-port="0" />
-		<edge from-layer="1287" from-port="0" to-layer="1296" to-port="0" />
-		<edge from-layer="1288" from-port="5" to-layer="1295" to-port="0" />
-		<edge from-layer="1289" from-port="0" to-layer="1290" to-port="0" />
-		<edge from-layer="1290" from-port="1" to-layer="1292" to-port="0" />
-		<edge from-layer="1291" from-port="0" to-layer="1292" to-port="1" />
-		<edge from-layer="1292" from-port="2" to-layer="1294" to-port="0" />
-		<edge from-layer="1293" from-port="0" to-layer="1294" to-port="1" />
-		<edge from-layer="1294" from-port="2" to-layer="1295" to-port="1" />
-		<edge from-layer="1295" from-port="2" to-layer="1296" to-port="1" />
-		<edge from-layer="1296" from-port="2" to-layer="1303" to-port="0" />
-		<edge from-layer="1296" from-port="2" to-layer="1297" to-port="0" />
-		<edge from-layer="1296" from-port="2" to-layer="1312" to-port="0" />
-		<edge from-layer="1297" from-port="1" to-layer="1300" to-port="0" />
-		<edge from-layer="1298" from-port="0" to-layer="1300" to-port="1" />
-		<edge from-layer="1299" from-port="0" to-layer="1300" to-port="2" />
-		<edge from-layer="1300" from-port="3" to-layer="1302" to-port="0" />
-		<edge from-layer="1301" from-port="0" to-layer="1302" to-port="1" />
-		<edge from-layer="1302" from-port="2" to-layer="1311" to-port="0" />
-		<edge from-layer="1303" from-port="1" to-layer="1306" to-port="0" />
-		<edge from-layer="1304" from-port="0" to-layer="1306" to-port="1" />
-		<edge from-layer="1305" from-port="0" to-layer="1306" to-port="2" />
-		<edge from-layer="1306" from-port="3" to-layer="1308" to-port="0" />
-		<edge from-layer="1307" from-port="0" to-layer="1308" to-port="1" />
-		<edge from-layer="1308" from-port="2" to-layer="1311" to-port="1" />
-		<edge from-layer="1309" from-port="0" to-layer="1311" to-port="2" />
-		<edge from-layer="1310" from-port="0" to-layer="1311" to-port="3" />
-		<edge from-layer="1311" from-port="4" to-layer="1312" to-port="1" />
-		<edge from-layer="1312" from-port="2" to-layer="1314" to-port="0" />
-		<edge from-layer="1313" from-port="0" to-layer="1314" to-port="1" />
-		<edge from-layer="1314" from-port="2" to-layer="1315" to-port="1" />
-		<edge from-layer="1315" from-port="2" to-layer="1318" to-port="0" />
-		<edge from-layer="1316" from-port="0" to-layer="1318" to-port="3" />
-		<edge from-layer="1316" from-port="0" to-layer="1318" to-port="1" />
-		<edge from-layer="1317" from-port="0" to-layer="1318" to-port="4" />
-		<edge from-layer="1317" from-port="0" to-layer="1318" to-port="2" />
-		<edge from-layer="1318" from-port="5" to-layer="1320" to-port="0" />
-		<edge from-layer="1319" from-port="0" to-layer="1320" to-port="1" />
-		<edge from-layer="1320" from-port="2" to-layer="1321" to-port="0" />
-		<edge from-layer="1320" from-port="2" to-layer="1327" to-port="0" />
-		<edge from-layer="1320" from-port="2" to-layer="1335" to-port="0" />
-		<edge from-layer="1321" from-port="1" to-layer="1324" to-port="0" />
-		<edge from-layer="1322" from-port="0" to-layer="1324" to-port="1" />
-		<edge from-layer="1323" from-port="0" to-layer="1324" to-port="2" />
-		<edge from-layer="1324" from-port="3" to-layer="1326" to-port="0" />
-		<edge from-layer="1325" from-port="0" to-layer="1326" to-port="1" />
-		<edge from-layer="1326" from-port="2" to-layer="1334" to-port="0" />
-		<edge from-layer="1327" from-port="1" to-layer="1330" to-port="0" />
-		<edge from-layer="1328" from-port="0" to-layer="1330" to-port="1" />
-		<edge from-layer="1329" from-port="0" to-layer="1330" to-port="2" />
-		<edge from-layer="1330" from-port="3" to-layer="1332" to-port="0" />
-		<edge from-layer="1331" from-port="0" to-layer="1332" to-port="1" />
-		<edge from-layer="1332" from-port="2" to-layer="1334" to-port="1" />
-		<edge from-layer="1333" from-port="0" to-layer="1334" to-port="2" />
-		<edge from-layer="1334" from-port="3" to-layer="1335" to-port="1" />
-		<edge from-layer="1335" from-port="2" to-layer="1342" to-port="0" />
-		<edge from-layer="1336" from-port="0" to-layer="1337" to-port="0" />
-		<edge from-layer="1337" from-port="1" to-layer="1339" to-port="0" />
-		<edge from-layer="1338" from-port="0" to-layer="1339" to-port="1" />
-		<edge from-layer="1339" from-port="2" to-layer="1341" to-port="0" />
-		<edge from-layer="1340" from-port="0" to-layer="1341" to-port="1" />
-		<edge from-layer="1341" from-port="2" to-layer="1342" to-port="1" />
-		<edge from-layer="1342" from-port="2" to-layer="1343" to-port="1" />
-		<edge from-layer="1343" from-port="2" to-layer="1344" to-port="0" />
-		<edge from-layer="1344" from-port="2" to-layer="1347" to-port="0" />
-		<edge from-layer="1344" from-port="2" to-layer="1346" to-port="0" />
-		<edge from-layer="1345" from-port="0" to-layer="1346" to-port="1" />
-		<edge from-layer="1346" from-port="2" to-layer="1347" to-port="1" />
-		<edge from-layer="1347" from-port="2" to-layer="1349" to-port="0" />
-		<edge from-layer="1347" from-port="2" to-layer="1355" to-port="0" />
-		<edge from-layer="1348" from-port="0" to-layer="1349" to-port="1" />
-		<edge from-layer="1349" from-port="2" to-layer="1351" to-port="0" />
-		<edge from-layer="1350" from-port="0" to-layer="1351" to-port="1" />
-		<edge from-layer="1351" from-port="2" to-layer="1353" to-port="0" />
+		<edge from-layer="1256" from-port="2" to-layer="1259" to-port="1" />
+		<edge from-layer="1257" from-port="0" to-layer="1259" to-port="2" />
+		<edge from-layer="1258" from-port="0" to-layer="1259" to-port="3" />
+		<edge from-layer="1259" from-port="4" to-layer="1260" to-port="1" />
+		<edge from-layer="1260" from-port="2" to-layer="1262" to-port="0" />
+		<edge from-layer="1261" from-port="0" to-layer="1262" to-port="1" />
+		<edge from-layer="1262" from-port="2" to-layer="1263" to-port="1" />
+		<edge from-layer="1263" from-port="2" to-layer="1265" to-port="0" />
+		<edge from-layer="1264" from-port="0" to-layer="1265" to-port="1" />
+		<edge from-layer="1265" from-port="2" to-layer="1280" to-port="0" />
+		<edge from-layer="1265" from-port="2" to-layer="1272" to-port="0" />
+		<edge from-layer="1265" from-port="2" to-layer="1266" to-port="0" />
+		<edge from-layer="1266" from-port="1" to-layer="1269" to-port="0" />
+		<edge from-layer="1267" from-port="0" to-layer="1269" to-port="1" />
+		<edge from-layer="1268" from-port="0" to-layer="1269" to-port="2" />
+		<edge from-layer="1269" from-port="3" to-layer="1271" to-port="0" />
+		<edge from-layer="1270" from-port="0" to-layer="1271" to-port="1" />
+		<edge from-layer="1271" from-port="2" to-layer="1279" to-port="0" />
+		<edge from-layer="1272" from-port="1" to-layer="1275" to-port="0" />
+		<edge from-layer="1273" from-port="0" to-layer="1275" to-port="1" />
+		<edge from-layer="1274" from-port="0" to-layer="1275" to-port="2" />
+		<edge from-layer="1275" from-port="3" to-layer="1277" to-port="0" />
+		<edge from-layer="1276" from-port="0" to-layer="1277" to-port="1" />
+		<edge from-layer="1277" from-port="2" to-layer="1279" to-port="1" />
+		<edge from-layer="1278" from-port="0" to-layer="1279" to-port="2" />
+		<edge from-layer="1279" from-port="3" to-layer="1280" to-port="1" />
+		<edge from-layer="1280" from-port="2" to-layer="1282" to-port="0" />
+		<edge from-layer="1281" from-port="0" to-layer="1282" to-port="1" />
+		<edge from-layer="1282" from-port="2" to-layer="1283" to-port="1" />
+		<edge from-layer="1283" from-port="2" to-layer="1284" to-port="0" />
+		<edge from-layer="1284" from-port="2" to-layer="1287" to-port="0" />
+		<edge from-layer="1284" from-port="2" to-layer="1286" to-port="0" />
+		<edge from-layer="1285" from-port="0" to-layer="1286" to-port="1" />
+		<edge from-layer="1286" from-port="2" to-layer="1287" to-port="1" />
+		<edge from-layer="1287" from-port="2" to-layer="1289" to-port="0" />
+		<edge from-layer="1287" from-port="2" to-layer="1295" to-port="0" />
+		<edge from-layer="1288" from-port="0" to-layer="1289" to-port="1" />
+		<edge from-layer="1289" from-port="2" to-layer="1291" to-port="0" />
+		<edge from-layer="1290" from-port="0" to-layer="1291" to-port="1" />
+		<edge from-layer="1291" from-port="2" to-layer="1293" to-port="0" />
+		<edge from-layer="1292" from-port="0" to-layer="1293" to-port="1" />
+		<edge from-layer="1293" from-port="2" to-layer="1294" to-port="0" />
+		<edge from-layer="1294" from-port="1" to-layer="1295" to-port="1" />
+		<edge from-layer="1295" from-port="2" to-layer="1297" to-port="0" />
+		<edge from-layer="1296" from-port="0" to-layer="1297" to-port="1" />
+		<edge from-layer="1297" from-port="2" to-layer="1299" to-port="0" />
+		<edge from-layer="1298" from-port="0" to-layer="1299" to-port="1" />
+		<edge from-layer="1299" from-port="2" to-layer="1301" to-port="0" />
+		<edge from-layer="1299" from-port="2" to-layer="1314" to-port="1" />
+		<edge from-layer="1300" from-port="0" to-layer="1301" to-port="1" />
+		<edge from-layer="1301" from-port="2" to-layer="1302" to-port="1" />
+		<edge from-layer="1302" from-port="2" to-layer="1308" to-port="0" />
+		<edge from-layer="1302" from-port="2" to-layer="1304" to-port="0" />
+		<edge from-layer="1303" from-port="0" to-layer="1304" to-port="1" />
+		<edge from-layer="1304" from-port="2" to-layer="1305" to-port="0" />
+		<edge from-layer="1305" from-port="1" to-layer="1307" to-port="0" />
+		<edge from-layer="1306" from-port="0" to-layer="1307" to-port="1" />
+		<edge from-layer="1307" from-port="2" to-layer="1308" to-port="1" />
+		<edge from-layer="1308" from-port="2" to-layer="1310" to-port="0" />
+		<edge from-layer="1309" from-port="0" to-layer="1310" to-port="1" />
+		<edge from-layer="1310" from-port="2" to-layer="1312" to-port="0" />
+		<edge from-layer="1311" from-port="0" to-layer="1312" to-port="1" />
+		<edge from-layer="1312" from-port="2" to-layer="1313" to-port="1" />
+		<edge from-layer="1313" from-port="2" to-layer="1314" to-port="0" />
+		<edge from-layer="1314" from-port="2" to-layer="1317" to-port="0" />
+		<edge from-layer="1314" from-port="2" to-layer="1316" to-port="0" />
+		<edge from-layer="1315" from-port="0" to-layer="1316" to-port="1" />
+		<edge from-layer="1316" from-port="2" to-layer="1317" to-port="1" />
+		<edge from-layer="1317" from-port="2" to-layer="1325" to-port="0" />
+		<edge from-layer="1317" from-port="2" to-layer="1319" to-port="0" />
+		<edge from-layer="1318" from-port="0" to-layer="1319" to-port="1" />
+		<edge from-layer="1319" from-port="2" to-layer="1321" to-port="0" />
+		<edge from-layer="1320" from-port="0" to-layer="1321" to-port="1" />
+		<edge from-layer="1321" from-port="2" to-layer="1323" to-port="0" />
+		<edge from-layer="1322" from-port="0" to-layer="1323" to-port="1" />
+		<edge from-layer="1323" from-port="2" to-layer="1324" to-port="0" />
+		<edge from-layer="1324" from-port="1" to-layer="1325" to-port="1" />
+		<edge from-layer="1325" from-port="2" to-layer="1327" to-port="0" />
+		<edge from-layer="1326" from-port="0" to-layer="1327" to-port="1" />
+		<edge from-layer="1327" from-port="2" to-layer="1329" to-port="0" />
+		<edge from-layer="1328" from-port="0" to-layer="1329" to-port="1" />
+		<edge from-layer="1329" from-port="2" to-layer="1421" to-port="1" />
+		<edge from-layer="1329" from-port="2" to-layer="1353" to-port="0" />
+		<edge from-layer="1329" from-port="2" to-layer="1380" to-port="0" />
+		<edge from-layer="1329" from-port="2" to-layer="1331" to-port="0" />
+		<edge from-layer="1330" from-port="0" to-layer="1331" to-port="1" />
+		<edge from-layer="1331" from-port="2" to-layer="1332" to-port="1" />
+		<edge from-layer="1332" from-port="2" to-layer="1333" to-port="0" />
+		<edge from-layer="1332" from-port="2" to-layer="1348" to-port="0" />
+		<edge from-layer="1332" from-port="2" to-layer="1339" to-port="0" />
+		<edge from-layer="1333" from-port="1" to-layer="1336" to-port="0" />
+		<edge from-layer="1334" from-port="0" to-layer="1336" to-port="1" />
+		<edge from-layer="1335" from-port="0" to-layer="1336" to-port="2" />
+		<edge from-layer="1336" from-port="3" to-layer="1338" to-port="0" />
+		<edge from-layer="1337" from-port="0" to-layer="1338" to-port="1" />
+		<edge from-layer="1338" from-port="2" to-layer="1347" to-port="0" />
+		<edge from-layer="1339" from-port="1" to-layer="1342" to-port="0" />
+		<edge from-layer="1340" from-port="0" to-layer="1342" to-port="1" />
+		<edge from-layer="1341" from-port="0" to-layer="1342" to-port="2" />
+		<edge from-layer="1342" from-port="3" to-layer="1344" to-port="0" />
+		<edge from-layer="1343" from-port="0" to-layer="1344" to-port="1" />
+		<edge from-layer="1344" from-port="2" to-layer="1347" to-port="1" />
+		<edge from-layer="1345" from-port="0" to-layer="1347" to-port="2" />
+		<edge from-layer="1346" from-port="0" to-layer="1347" to-port="3" />
+		<edge from-layer="1347" from-port="4" to-layer="1348" to-port="1" />
+		<edge from-layer="1348" from-port="2" to-layer="1350" to-port="0" />
+		<edge from-layer="1349" from-port="0" to-layer="1350" to-port="1" />
+		<edge from-layer="1350" from-port="2" to-layer="1373" to-port="0" />
+		<edge from-layer="1351" from-port="0" to-layer="1354" to-port="0" />
 		<edge from-layer="1352" from-port="0" to-layer="1353" to-port="1" />
-		<edge from-layer="1353" from-port="2" to-layer="1354" to-port="0" />
-		<edge from-layer="1354" from-port="1" to-layer="1355" to-port="1" />
-		<edge from-layer="1355" from-port="2" to-layer="1357" to-port="0" />
-		<edge from-layer="1356" from-port="0" to-layer="1357" to-port="1" />
-		<edge from-layer="1357" from-port="2" to-layer="1359" to-port="0" />
-		<edge from-layer="1358" from-port="0" to-layer="1359" to-port="1" />
-		<edge from-layer="1359" from-port="2" to-layer="1362" to-port="0" />
-		<edge from-layer="1359" from-port="2" to-layer="1390" to-port="1" />
-		<edge from-layer="1360" from-port="0" to-layer="1362" to-port="1" />
-		<edge from-layer="1360" from-port="0" to-layer="1362" to-port="3" />
-		<edge from-layer="1361" from-port="0" to-layer="1362" to-port="4" />
-		<edge from-layer="1361" from-port="0" to-layer="1362" to-port="2" />
-		<edge from-layer="1362" from-port="5" to-layer="1369" to-port="0" />
-		<edge from-layer="1363" from-port="0" to-layer="1364" to-port="0" />
-		<edge from-layer="1364" from-port="1" to-layer="1366" to-port="0" />
+		<edge from-layer="1353" from-port="2" to-layer="1354" to-port="1" />
+		<edge from-layer="1354" from-port="2" to-layer="1370" to-port="0" />
+		<edge from-layer="1354" from-port="2" to-layer="1355" to-port="0" />
+		<edge from-layer="1354" from-port="2" to-layer="1361" to-port="0" />
+		<edge from-layer="1355" from-port="1" to-layer="1358" to-port="0" />
+		<edge from-layer="1356" from-port="0" to-layer="1358" to-port="1" />
+		<edge from-layer="1357" from-port="0" to-layer="1358" to-port="2" />
+		<edge from-layer="1358" from-port="3" to-layer="1360" to-port="0" />
+		<edge from-layer="1359" from-port="0" to-layer="1360" to-port="1" />
+		<edge from-layer="1360" from-port="2" to-layer="1369" to-port="0" />
+		<edge from-layer="1361" from-port="1" to-layer="1364" to-port="0" />
+		<edge from-layer="1362" from-port="0" to-layer="1364" to-port="1" />
+		<edge from-layer="1363" from-port="0" to-layer="1364" to-port="2" />
+		<edge from-layer="1364" from-port="3" to-layer="1366" to-port="0" />
 		<edge from-layer="1365" from-port="0" to-layer="1366" to-port="1" />
-		<edge from-layer="1366" from-port="2" to-layer="1368" to-port="0" />
-		<edge from-layer="1367" from-port="0" to-layer="1368" to-port="1" />
-		<edge from-layer="1368" from-port="2" to-layer="1369" to-port="1" />
-		<edge from-layer="1369" from-port="2" to-layer="1370" to-port="1" />
-		<edge from-layer="1370" from-port="2" to-layer="1376" to-port="0" />
+		<edge from-layer="1366" from-port="2" to-layer="1369" to-port="1" />
+		<edge from-layer="1367" from-port="0" to-layer="1369" to-port="2" />
+		<edge from-layer="1368" from-port="0" to-layer="1369" to-port="3" />
+		<edge from-layer="1369" from-port="4" to-layer="1370" to-port="1" />
 		<edge from-layer="1370" from-port="2" to-layer="1372" to-port="0" />
 		<edge from-layer="1371" from-port="0" to-layer="1372" to-port="1" />
-		<edge from-layer="1372" from-port="2" to-layer="1373" to-port="0" />
-		<edge from-layer="1373" from-port="1" to-layer="1375" to-port="0" />
+		<edge from-layer="1372" from-port="2" to-layer="1373" to-port="1" />
+		<edge from-layer="1373" from-port="2" to-layer="1375" to-port="0" />
 		<edge from-layer="1374" from-port="0" to-layer="1375" to-port="1" />
-		<edge from-layer="1375" from-port="2" to-layer="1376" to-port="1" />
-		<edge from-layer="1376" from-port="2" to-layer="1378" to-port="0" />
-		<edge from-layer="1377" from-port="0" to-layer="1378" to-port="1" />
-		<edge from-layer="1378" from-port="2" to-layer="1381" to-port="0" />
-		<edge from-layer="1379" from-port="0" to-layer="1381" to-port="1" />
-		<edge from-layer="1379" from-port="0" to-layer="2128" to-port="1" />
-		<edge from-layer="1379" from-port="0" to-layer="2128" to-port="3" />
-		<edge from-layer="1379" from-port="0" to-layer="1381" to-port="3" />
-		<edge from-layer="1380" from-port="0" to-layer="1381" to-port="2" />
-		<edge from-layer="1380" from-port="0" to-layer="1381" to-port="4" />
-		<edge from-layer="1381" from-port="5" to-layer="1388" to-port="0" />
-		<edge from-layer="1382" from-port="0" to-layer="1383" to-port="0" />
-		<edge from-layer="1383" from-port="1" to-layer="1385" to-port="0" />
-		<edge from-layer="1384" from-port="0" to-layer="1385" to-port="1" />
-		<edge from-layer="1385" from-port="2" to-layer="1387" to-port="0" />
+		<edge from-layer="1375" from-port="2" to-layer="1376" to-port="0" />
+		<edge from-layer="1376" from-port="2" to-layer="1377" to-port="0" />
+		<edge from-layer="1377" from-port="1" to-layer="1400" to-port="0" />
+		<edge from-layer="1378" from-port="0" to-layer="1381" to-port="0" />
+		<edge from-layer="1379" from-port="0" to-layer="1380" to-port="1" />
+		<edge from-layer="1380" from-port="2" to-layer="1381" to-port="1" />
+		<edge from-layer="1381" from-port="2" to-layer="1397" to-port="0" />
+		<edge from-layer="1381" from-port="2" to-layer="1382" to-port="0" />
+		<edge from-layer="1381" from-port="2" to-layer="1388" to-port="0" />
+		<edge from-layer="1382" from-port="1" to-layer="1385" to-port="0" />
+		<edge from-layer="1383" from-port="0" to-layer="1385" to-port="1" />
+		<edge from-layer="1384" from-port="0" to-layer="1385" to-port="2" />
+		<edge from-layer="1385" from-port="3" to-layer="1387" to-port="0" />
 		<edge from-layer="1386" from-port="0" to-layer="1387" to-port="1" />
-		<edge from-layer="1387" from-port="2" to-layer="1388" to-port="1" />
-		<edge from-layer="1388" from-port="2" to-layer="1389" to-port="1" />
-		<edge from-layer="1389" from-port="2" to-layer="1390" to-port="0" />
-		<edge from-layer="1390" from-port="2" to-layer="1393" to-port="0" />
-		<edge from-layer="1390" from-port="2" to-layer="1392" to-port="0" />
-		<edge from-layer="1391" from-port="0" to-layer="1392" to-port="1" />
-		<edge from-layer="1392" from-port="2" to-layer="1393" to-port="1" />
-		<edge from-layer="1393" from-port="2" to-layer="1401" to-port="0" />
-		<edge from-layer="1393" from-port="2" to-layer="1395" to-port="0" />
-		<edge from-layer="1394" from-port="0" to-layer="1395" to-port="1" />
-		<edge from-layer="1395" from-port="2" to-layer="1397" to-port="0" />
-		<edge from-layer="1396" from-port="0" to-layer="1397" to-port="1" />
+		<edge from-layer="1387" from-port="2" to-layer="1396" to-port="0" />
+		<edge from-layer="1388" from-port="1" to-layer="1391" to-port="0" />
+		<edge from-layer="1389" from-port="0" to-layer="1391" to-port="1" />
+		<edge from-layer="1390" from-port="0" to-layer="1391" to-port="2" />
+		<edge from-layer="1391" from-port="3" to-layer="1393" to-port="0" />
+		<edge from-layer="1392" from-port="0" to-layer="1393" to-port="1" />
+		<edge from-layer="1393" from-port="2" to-layer="1396" to-port="1" />
+		<edge from-layer="1394" from-port="0" to-layer="1396" to-port="2" />
+		<edge from-layer="1395" from-port="0" to-layer="1396" to-port="3" />
+		<edge from-layer="1396" from-port="4" to-layer="1397" to-port="1" />
 		<edge from-layer="1397" from-port="2" to-layer="1399" to-port="0" />
 		<edge from-layer="1398" from-port="0" to-layer="1399" to-port="1" />
-		<edge from-layer="1399" from-port="2" to-layer="1400" to-port="0" />
-		<edge from-layer="1400" from-port="1" to-layer="1401" to-port="1" />
-		<edge from-layer="1401" from-port="2" to-layer="1403" to-port="0" />
-		<edge from-layer="1402" from-port="0" to-layer="1403" to-port="1" />
-		<edge from-layer="1403" from-port="2" to-layer="1405" to-port="0" />
-		<edge from-layer="1404" from-port="0" to-layer="1405" to-port="1" />
-		<edge from-layer="1405" from-port="2" to-layer="1439" to-port="0" />
-		<edge from-layer="1405" from-port="2" to-layer="1408" to-port="0" />
-		<edge from-layer="1405" from-port="2" to-layer="1531" to-port="1" />
-		<edge from-layer="1405" from-port="2" to-layer="1475" to-port="0" />
-		<edge from-layer="1406" from-port="0" to-layer="1475" to-port="3" />
-		<edge from-layer="1406" from-port="0" to-layer="1439" to-port="3" />
-		<edge from-layer="1406" from-port="0" to-layer="1475" to-port="1" />
-		<edge from-layer="1406" from-port="0" to-layer="1408" to-port="3" />
-		<edge from-layer="1406" from-port="0" to-layer="1408" to-port="1" />
-		<edge from-layer="1406" from-port="0" to-layer="1439" to-port="1" />
-		<edge from-layer="1407" from-port="0" to-layer="1439" to-port="2" />
-		<edge from-layer="1407" from-port="0" to-layer="1439" to-port="4" />
-		<edge from-layer="1407" from-port="0" to-layer="1408" to-port="4" />
-		<edge from-layer="1407" from-port="0" to-layer="1408" to-port="2" />
-		<edge from-layer="1407" from-port="0" to-layer="1475" to-port="4" />
-		<edge from-layer="1407" from-port="0" to-layer="1475" to-port="2" />
-		<edge from-layer="1408" from-port="5" to-layer="1415" to-port="0" />
-		<edge from-layer="1409" from-port="0" to-layer="1410" to-port="0" />
-		<edge from-layer="1410" from-port="1" to-layer="1412" to-port="0" />
-		<edge from-layer="1411" from-port="0" to-layer="1412" to-port="1" />
-		<edge from-layer="1412" from-port="2" to-layer="1414" to-port="0" />
+		<edge from-layer="1399" from-port="2" to-layer="1400" to-port="1" />
+		<edge from-layer="1400" from-port="2" to-layer="1402" to-port="0" />
+		<edge from-layer="1401" from-port="0" to-layer="1402" to-port="1" />
+		<edge from-layer="1402" from-port="2" to-layer="1417" to-port="0" />
+		<edge from-layer="1402" from-port="2" to-layer="1409" to-port="0" />
+		<edge from-layer="1402" from-port="2" to-layer="1403" to-port="0" />
+		<edge from-layer="1403" from-port="1" to-layer="1406" to-port="0" />
+		<edge from-layer="1404" from-port="0" to-layer="1406" to-port="1" />
+		<edge from-layer="1405" from-port="0" to-layer="1406" to-port="2" />
+		<edge from-layer="1406" from-port="3" to-layer="1408" to-port="0" />
+		<edge from-layer="1407" from-port="0" to-layer="1408" to-port="1" />
+		<edge from-layer="1408" from-port="2" to-layer="1416" to-port="0" />
+		<edge from-layer="1409" from-port="1" to-layer="1412" to-port="0" />
+		<edge from-layer="1410" from-port="0" to-layer="1412" to-port="1" />
+		<edge from-layer="1411" from-port="0" to-layer="1412" to-port="2" />
+		<edge from-layer="1412" from-port="3" to-layer="1414" to-port="0" />
 		<edge from-layer="1413" from-port="0" to-layer="1414" to-port="1" />
-		<edge from-layer="1414" from-port="2" to-layer="1415" to-port="1" />
-		<edge from-layer="1415" from-port="2" to-layer="1416" to-port="1" />
-		<edge from-layer="1416" from-port="2" to-layer="1419" to-port="0" />
-		<edge from-layer="1417" from-port="0" to-layer="1419" to-port="3" />
-		<edge from-layer="1417" from-port="0" to-layer="1419" to-port="1" />
-		<edge from-layer="1418" from-port="0" to-layer="1419" to-port="2" />
-		<edge from-layer="1418" from-port="0" to-layer="1419" to-port="4" />
-		<edge from-layer="1419" from-port="5" to-layer="1420" to-port="0" />
-		<edge from-layer="1419" from-port="5" to-layer="1426" to-port="0" />
-		<edge from-layer="1419" from-port="5" to-layer="1435" to-port="0" />
-		<edge from-layer="1420" from-port="1" to-layer="1423" to-port="0" />
-		<edge from-layer="1421" from-port="0" to-layer="1423" to-port="1" />
-		<edge from-layer="1422" from-port="0" to-layer="1423" to-port="2" />
-		<edge from-layer="1423" from-port="3" to-layer="1425" to-port="0" />
-		<edge from-layer="1424" from-port="0" to-layer="1425" to-port="1" />
-		<edge from-layer="1425" from-port="2" to-layer="1434" to-port="0" />
-		<edge from-layer="1426" from-port="1" to-layer="1429" to-port="0" />
-		<edge from-layer="1427" from-port="0" to-layer="1429" to-port="1" />
-		<edge from-layer="1428" from-port="0" to-layer="1429" to-port="2" />
-		<edge from-layer="1429" from-port="3" to-layer="1431" to-port="0" />
-		<edge from-layer="1430" from-port="0" to-layer="1431" to-port="1" />
-		<edge from-layer="1431" from-port="2" to-layer="1434" to-port="1" />
-		<edge from-layer="1432" from-port="0" to-layer="1434" to-port="2" />
-		<edge from-layer="1433" from-port="0" to-layer="1434" to-port="3" />
-		<edge from-layer="1434" from-port="4" to-layer="1435" to-port="1" />
-		<edge from-layer="1435" from-port="2" to-layer="1437" to-port="0" />
-		<edge from-layer="1436" from-port="0" to-layer="1437" to-port="1" />
-		<edge from-layer="1437" from-port="2" to-layer="1469" to-port="0" />
-		<edge from-layer="1438" from-port="0" to-layer="1447" to-port="0" />
-		<edge from-layer="1439" from-port="5" to-layer="1446" to-port="0" />
-		<edge from-layer="1440" from-port="0" to-layer="1441" to-port="0" />
-		<edge from-layer="1441" from-port="1" to-layer="1443" to-port="0" />
-		<edge from-layer="1442" from-port="0" to-layer="1443" to-port="1" />
-		<edge from-layer="1443" from-port="2" to-layer="1445" to-port="0" />
-		<edge from-layer="1444" from-port="0" to-layer="1445" to-port="1" />
-		<edge from-layer="1445" from-port="2" to-layer="1446" to-port="1" />
-		<edge from-layer="1446" from-port="2" to-layer="1447" to-port="1" />
-		<edge from-layer="1447" from-port="2" to-layer="1450" to-port="0" />
-		<edge from-layer="1448" from-port="0" to-layer="1450" to-port="1" />
-		<edge from-layer="1448" from-port="0" to-layer="1450" to-port="3" />
-		<edge from-layer="1449" from-port="0" to-layer="1450" to-port="2" />
-		<edge from-layer="1449" from-port="0" to-layer="1450" to-port="4" />
-		<edge from-layer="1450" from-port="5" to-layer="1466" to-port="0" />
-		<edge from-layer="1450" from-port="5" to-layer="1457" to-port="0" />
-		<edge from-layer="1450" from-port="5" to-layer="1451" to-port="0" />
-		<edge from-layer="1451" from-port="1" to-layer="1454" to-port="0" />
-		<edge from-layer="1452" from-port="0" to-layer="1454" to-port="1" />
-		<edge from-layer="1453" from-port="0" to-layer="1454" to-port="2" />
-		<edge from-layer="1454" from-port="3" to-layer="1456" to-port="0" />
+		<edge from-layer="1414" from-port="2" to-layer="1416" to-port="1" />
+		<edge from-layer="1415" from-port="0" to-layer="1416" to-port="2" />
+		<edge from-layer="1416" from-port="3" to-layer="1417" to-port="1" />
+		<edge from-layer="1417" from-port="2" to-layer="1419" to-port="0" />
+		<edge from-layer="1418" from-port="0" to-layer="1419" to-port="1" />
+		<edge from-layer="1419" from-port="2" to-layer="1420" to-port="1" />
+		<edge from-layer="1420" from-port="2" to-layer="1421" to-port="0" />
+		<edge from-layer="1421" from-port="2" to-layer="1424" to-port="0" />
+		<edge from-layer="1421" from-port="2" to-layer="1423" to-port="0" />
+		<edge from-layer="1422" from-port="0" to-layer="1423" to-port="1" />
+		<edge from-layer="1423" from-port="2" to-layer="1424" to-port="1" />
+		<edge from-layer="1424" from-port="2" to-layer="1426" to-port="0" />
+		<edge from-layer="1424" from-port="2" to-layer="1432" to-port="0" />
+		<edge from-layer="1425" from-port="0" to-layer="1426" to-port="1" />
+		<edge from-layer="1426" from-port="2" to-layer="1428" to-port="0" />
+		<edge from-layer="1427" from-port="0" to-layer="1428" to-port="1" />
+		<edge from-layer="1428" from-port="2" to-layer="1430" to-port="0" />
+		<edge from-layer="1429" from-port="0" to-layer="1430" to-port="1" />
+		<edge from-layer="1430" from-port="2" to-layer="1431" to-port="0" />
+		<edge from-layer="1431" from-port="1" to-layer="1432" to-port="1" />
+		<edge from-layer="1432" from-port="2" to-layer="1434" to-port="0" />
+		<edge from-layer="1433" from-port="0" to-layer="1434" to-port="1" />
+		<edge from-layer="1434" from-port="2" to-layer="1436" to-port="0" />
+		<edge from-layer="1435" from-port="0" to-layer="1436" to-port="1" />
+		<edge from-layer="1436" from-port="2" to-layer="1438" to-port="0" />
+		<edge from-layer="1436" from-port="2" to-layer="1451" to-port="1" />
+		<edge from-layer="1437" from-port="0" to-layer="1438" to-port="1" />
+		<edge from-layer="1438" from-port="2" to-layer="1439" to-port="1" />
+		<edge from-layer="1439" from-port="2" to-layer="1445" to-port="0" />
+		<edge from-layer="1439" from-port="2" to-layer="1441" to-port="0" />
+		<edge from-layer="1440" from-port="0" to-layer="1441" to-port="1" />
+		<edge from-layer="1441" from-port="2" to-layer="1442" to-port="0" />
+		<edge from-layer="1442" from-port="1" to-layer="1444" to-port="0" />
+		<edge from-layer="1443" from-port="0" to-layer="1444" to-port="1" />
+		<edge from-layer="1444" from-port="2" to-layer="1445" to-port="1" />
+		<edge from-layer="1445" from-port="2" to-layer="1447" to-port="0" />
+		<edge from-layer="1446" from-port="0" to-layer="1447" to-port="1" />
+		<edge from-layer="1447" from-port="2" to-layer="1449" to-port="0" />
+		<edge from-layer="1448" from-port="0" to-layer="1449" to-port="1" />
+		<edge from-layer="1449" from-port="2" to-layer="1450" to-port="1" />
+		<edge from-layer="1450" from-port="2" to-layer="1451" to-port="0" />
+		<edge from-layer="1451" from-port="2" to-layer="1454" to-port="0" />
+		<edge from-layer="1451" from-port="2" to-layer="1453" to-port="0" />
+		<edge from-layer="1452" from-port="0" to-layer="1453" to-port="1" />
+		<edge from-layer="1453" from-port="2" to-layer="1454" to-port="1" />
+		<edge from-layer="1454" from-port="2" to-layer="1462" to-port="0" />
+		<edge from-layer="1454" from-port="2" to-layer="1456" to-port="0" />
 		<edge from-layer="1455" from-port="0" to-layer="1456" to-port="1" />
-		<edge from-layer="1456" from-port="2" to-layer="1465" to-port="0" />
-		<edge from-layer="1457" from-port="1" to-layer="1460" to-port="0" />
-		<edge from-layer="1458" from-port="0" to-layer="1460" to-port="1" />
-		<edge from-layer="1459" from-port="0" to-layer="1460" to-port="2" />
-		<edge from-layer="1460" from-port="3" to-layer="1462" to-port="0" />
-		<edge from-layer="1461" from-port="0" to-layer="1462" to-port="1" />
-		<edge from-layer="1462" from-port="2" to-layer="1465" to-port="1" />
-		<edge from-layer="1463" from-port="0" to-layer="1465" to-port="2" />
-		<edge from-layer="1464" from-port="0" to-layer="1465" to-port="3" />
-		<edge from-layer="1465" from-port="4" to-layer="1466" to-port="1" />
+		<edge from-layer="1456" from-port="2" to-layer="1458" to-port="0" />
+		<edge from-layer="1457" from-port="0" to-layer="1458" to-port="1" />
+		<edge from-layer="1458" from-port="2" to-layer="1460" to-port="0" />
+		<edge from-layer="1459" from-port="0" to-layer="1460" to-port="1" />
+		<edge from-layer="1460" from-port="2" to-layer="1461" to-port="0" />
+		<edge from-layer="1461" from-port="1" to-layer="1462" to-port="1" />
+		<edge from-layer="1462" from-port="2" to-layer="1464" to-port="0" />
+		<edge from-layer="1463" from-port="0" to-layer="1464" to-port="1" />
+		<edge from-layer="1464" from-port="2" to-layer="1466" to-port="0" />
+		<edge from-layer="1465" from-port="0" to-layer="1466" to-port="1" />
 		<edge from-layer="1466" from-port="2" to-layer="1468" to-port="0" />
+		<edge from-layer="1466" from-port="2" to-layer="1558" to-port="1" />
+		<edge from-layer="1466" from-port="2" to-layer="1517" to-port="0" />
+		<edge from-layer="1466" from-port="2" to-layer="1490" to-port="0" />
 		<edge from-layer="1467" from-port="0" to-layer="1468" to-port="1" />
 		<edge from-layer="1468" from-port="2" to-layer="1469" to-port="1" />
-		<edge from-layer="1469" from-port="2" to-layer="1471" to-port="0" />
-		<edge from-layer="1470" from-port="0" to-layer="1471" to-port="1" />
-		<edge from-layer="1471" from-port="2" to-layer="1472" to-port="0" />
-		<edge from-layer="1472" from-port="2" to-layer="1473" to-port="0" />
-		<edge from-layer="1473" from-port="1" to-layer="1502" to-port="0" />
-		<edge from-layer="1474" from-port="0" to-layer="1483" to-port="0" />
-		<edge from-layer="1475" from-port="5" to-layer="1482" to-port="0" />
-		<edge from-layer="1476" from-port="0" to-layer="1477" to-port="0" />
-		<edge from-layer="1477" from-port="1" to-layer="1479" to-port="0" />
-		<edge from-layer="1478" from-port="0" to-layer="1479" to-port="1" />
-		<edge from-layer="1479" from-port="2" to-layer="1481" to-port="0" />
+		<edge from-layer="1469" from-port="2" to-layer="1470" to-port="0" />
+		<edge from-layer="1469" from-port="2" to-layer="1476" to-port="0" />
+		<edge from-layer="1469" from-port="2" to-layer="1485" to-port="0" />
+		<edge from-layer="1470" from-port="1" to-layer="1473" to-port="0" />
+		<edge from-layer="1471" from-port="0" to-layer="1473" to-port="1" />
+		<edge from-layer="1472" from-port="0" to-layer="1473" to-port="2" />
+		<edge from-layer="1473" from-port="3" to-layer="1475" to-port="0" />
+		<edge from-layer="1474" from-port="0" to-layer="1475" to-port="1" />
+		<edge from-layer="1475" from-port="2" to-layer="1484" to-port="0" />
+		<edge from-layer="1476" from-port="1" to-layer="1479" to-port="0" />
+		<edge from-layer="1477" from-port="0" to-layer="1479" to-port="1" />
+		<edge from-layer="1478" from-port="0" to-layer="1479" to-port="2" />
+		<edge from-layer="1479" from-port="3" to-layer="1481" to-port="0" />
 		<edge from-layer="1480" from-port="0" to-layer="1481" to-port="1" />
-		<edge from-layer="1481" from-port="2" to-layer="1482" to-port="1" />
-		<edge from-layer="1482" from-port="2" to-layer="1483" to-port="1" />
-		<edge from-layer="1483" from-port="2" to-layer="1499" to-port="0" />
-		<edge from-layer="1483" from-port="2" to-layer="1484" to-port="0" />
-		<edge from-layer="1483" from-port="2" to-layer="1490" to-port="0" />
-		<edge from-layer="1484" from-port="1" to-layer="1487" to-port="0" />
-		<edge from-layer="1485" from-port="0" to-layer="1487" to-port="1" />
-		<edge from-layer="1486" from-port="0" to-layer="1487" to-port="2" />
-		<edge from-layer="1487" from-port="3" to-layer="1489" to-port="0" />
-		<edge from-layer="1488" from-port="0" to-layer="1489" to-port="1" />
-		<edge from-layer="1489" from-port="2" to-layer="1498" to-port="0" />
-		<edge from-layer="1490" from-port="1" to-layer="1493" to-port="0" />
-		<edge from-layer="1491" from-port="0" to-layer="1493" to-port="1" />
-		<edge from-layer="1492" from-port="0" to-layer="1493" to-port="2" />
-		<edge from-layer="1493" from-port="3" to-layer="1495" to-port="0" />
-		<edge from-layer="1494" from-port="0" to-layer="1495" to-port="1" />
-		<edge from-layer="1495" from-port="2" to-layer="1498" to-port="1" />
-		<edge from-layer="1496" from-port="0" to-layer="1498" to-port="2" />
-		<edge from-layer="1497" from-port="0" to-layer="1498" to-port="3" />
-		<edge from-layer="1498" from-port="4" to-layer="1499" to-port="1" />
-		<edge from-layer="1499" from-port="2" to-layer="1501" to-port="0" />
-		<edge from-layer="1500" from-port="0" to-layer="1501" to-port="1" />
-		<edge from-layer="1501" from-port="2" to-layer="1502" to-port="1" />
-		<edge from-layer="1502" from-port="2" to-layer="1505" to-port="0" />
-		<edge from-layer="1503" from-port="0" to-layer="1505" to-port="3" />
-		<edge from-layer="1503" from-port="0" to-layer="1505" to-port="1" />
-		<edge from-layer="1504" from-port="0" to-layer="1505" to-port="4" />
-		<edge from-layer="1504" from-port="0" to-layer="1505" to-port="2" />
-		<edge from-layer="1505" from-port="5" to-layer="1507" to-port="0" />
-		<edge from-layer="1506" from-port="0" to-layer="1507" to-port="1" />
-		<edge from-layer="1507" from-port="2" to-layer="1508" to-port="0" />
-		<edge from-layer="1507" from-port="2" to-layer="1522" to-port="0" />
-		<edge from-layer="1507" from-port="2" to-layer="1514" to-port="0" />
-		<edge from-layer="1508" from-port="1" to-layer="1511" to-port="0" />
-		<edge from-layer="1509" from-port="0" to-layer="1511" to-port="1" />
-		<edge from-layer="1510" from-port="0" to-layer="1511" to-port="2" />
-		<edge from-layer="1511" from-port="3" to-layer="1513" to-port="0" />
-		<edge from-layer="1512" from-port="0" to-layer="1513" to-port="1" />
-		<edge from-layer="1513" from-port="2" to-layer="1521" to-port="0" />
-		<edge from-layer="1514" from-port="1" to-layer="1517" to-port="0" />
-		<edge from-layer="1515" from-port="0" to-layer="1517" to-port="1" />
-		<edge from-layer="1516" from-port="0" to-layer="1517" to-port="2" />
-		<edge from-layer="1517" from-port="3" to-layer="1519" to-port="0" />
-		<edge from-layer="1518" from-port="0" to-layer="1519" to-port="1" />
-		<edge from-layer="1519" from-port="2" to-layer="1521" to-port="1" />
-		<edge from-layer="1520" from-port="0" to-layer="1521" to-port="2" />
-		<edge from-layer="1521" from-port="3" to-layer="1522" to-port="1" />
-		<edge from-layer="1522" from-port="2" to-layer="1529" to-port="0" />
-		<edge from-layer="1523" from-port="0" to-layer="1524" to-port="0" />
-		<edge from-layer="1524" from-port="1" to-layer="1526" to-port="0" />
-		<edge from-layer="1525" from-port="0" to-layer="1526" to-port="1" />
-		<edge from-layer="1526" from-port="2" to-layer="1528" to-port="0" />
-		<edge from-layer="1527" from-port="0" to-layer="1528" to-port="1" />
-		<edge from-layer="1528" from-port="2" to-layer="1529" to-port="1" />
-		<edge from-layer="1529" from-port="2" to-layer="1530" to-port="1" />
-		<edge from-layer="1530" from-port="2" to-layer="1531" to-port="0" />
-		<edge from-layer="1531" from-port="2" to-layer="1533" to-port="0" />
-		<edge from-layer="1531" from-port="2" to-layer="1534" to-port="0" />
-		<edge from-layer="1532" from-port="0" to-layer="1533" to-port="1" />
-		<edge from-layer="1533" from-port="2" to-layer="1534" to-port="1" />
-		<edge from-layer="1534" from-port="2" to-layer="1542" to-port="0" />
+		<edge from-layer="1481" from-port="2" to-layer="1484" to-port="1" />
+		<edge from-layer="1482" from-port="0" to-layer="1484" to-port="2" />
+		<edge from-layer="1483" from-port="0" to-layer="1484" to-port="3" />
+		<edge from-layer="1484" from-port="4" to-layer="1485" to-port="1" />
+		<edge from-layer="1485" from-port="2" to-layer="1487" to-port="0" />
+		<edge from-layer="1486" from-port="0" to-layer="1487" to-port="1" />
+		<edge from-layer="1487" from-port="2" to-layer="1510" to-port="0" />
+		<edge from-layer="1488" from-port="0" to-layer="1491" to-port="0" />
+		<edge from-layer="1489" from-port="0" to-layer="1490" to-port="1" />
+		<edge from-layer="1490" from-port="2" to-layer="1491" to-port="1" />
+		<edge from-layer="1491" from-port="2" to-layer="1492" to-port="0" />
+		<edge from-layer="1491" from-port="2" to-layer="1507" to-port="0" />
+		<edge from-layer="1491" from-port="2" to-layer="1498" to-port="0" />
+		<edge from-layer="1492" from-port="1" to-layer="1495" to-port="0" />
+		<edge from-layer="1493" from-port="0" to-layer="1495" to-port="1" />
+		<edge from-layer="1494" from-port="0" to-layer="1495" to-port="2" />
+		<edge from-layer="1495" from-port="3" to-layer="1497" to-port="0" />
+		<edge from-layer="1496" from-port="0" to-layer="1497" to-port="1" />
+		<edge from-layer="1497" from-port="2" to-layer="1506" to-port="0" />
+		<edge from-layer="1498" from-port="1" to-layer="1501" to-port="0" />
+		<edge from-layer="1499" from-port="0" to-layer="1501" to-port="1" />
+		<edge from-layer="1500" from-port="0" to-layer="1501" to-port="2" />
+		<edge from-layer="1501" from-port="3" to-layer="1503" to-port="0" />
+		<edge from-layer="1502" from-port="0" to-layer="1503" to-port="1" />
+		<edge from-layer="1503" from-port="2" to-layer="1506" to-port="1" />
+		<edge from-layer="1504" from-port="0" to-layer="1506" to-port="2" />
+		<edge from-layer="1505" from-port="0" to-layer="1506" to-port="3" />
+		<edge from-layer="1506" from-port="4" to-layer="1507" to-port="1" />
+		<edge from-layer="1507" from-port="2" to-layer="1509" to-port="0" />
+		<edge from-layer="1508" from-port="0" to-layer="1509" to-port="1" />
+		<edge from-layer="1509" from-port="2" to-layer="1510" to-port="1" />
+		<edge from-layer="1510" from-port="2" to-layer="1512" to-port="0" />
+		<edge from-layer="1511" from-port="0" to-layer="1512" to-port="1" />
+		<edge from-layer="1512" from-port="2" to-layer="1513" to-port="0" />
+		<edge from-layer="1513" from-port="2" to-layer="1514" to-port="0" />
+		<edge from-layer="1514" from-port="1" to-layer="1537" to-port="0" />
+		<edge from-layer="1515" from-port="0" to-layer="1518" to-port="0" />
+		<edge from-layer="1516" from-port="0" to-layer="1517" to-port="1" />
+		<edge from-layer="1517" from-port="2" to-layer="1518" to-port="1" />
+		<edge from-layer="1518" from-port="2" to-layer="1525" to-port="0" />
+		<edge from-layer="1518" from-port="2" to-layer="1519" to-port="0" />
+		<edge from-layer="1518" from-port="2" to-layer="1534" to-port="0" />
+		<edge from-layer="1519" from-port="1" to-layer="1522" to-port="0" />
+		<edge from-layer="1520" from-port="0" to-layer="1522" to-port="1" />
+		<edge from-layer="1521" from-port="0" to-layer="1522" to-port="2" />
+		<edge from-layer="1522" from-port="3" to-layer="1524" to-port="0" />
+		<edge from-layer="1523" from-port="0" to-layer="1524" to-port="1" />
+		<edge from-layer="1524" from-port="2" to-layer="1533" to-port="0" />
+		<edge from-layer="1525" from-port="1" to-layer="1528" to-port="0" />
+		<edge from-layer="1526" from-port="0" to-layer="1528" to-port="1" />
+		<edge from-layer="1527" from-port="0" to-layer="1528" to-port="2" />
+		<edge from-layer="1528" from-port="3" to-layer="1530" to-port="0" />
+		<edge from-layer="1529" from-port="0" to-layer="1530" to-port="1" />
+		<edge from-layer="1530" from-port="2" to-layer="1533" to-port="1" />
+		<edge from-layer="1531" from-port="0" to-layer="1533" to-port="2" />
+		<edge from-layer="1532" from-port="0" to-layer="1533" to-port="3" />
+		<edge from-layer="1533" from-port="4" to-layer="1534" to-port="1" />
 		<edge from-layer="1534" from-port="2" to-layer="1536" to-port="0" />
 		<edge from-layer="1535" from-port="0" to-layer="1536" to-port="1" />
-		<edge from-layer="1536" from-port="2" to-layer="1538" to-port="0" />
-		<edge from-layer="1537" from-port="0" to-layer="1538" to-port="1" />
-		<edge from-layer="1538" from-port="2" to-layer="1540" to-port="0" />
-		<edge from-layer="1539" from-port="0" to-layer="1540" to-port="1" />
-		<edge from-layer="1540" from-port="2" to-layer="1541" to-port="0" />
-		<edge from-layer="1541" from-port="1" to-layer="1542" to-port="1" />
-		<edge from-layer="1542" from-port="2" to-layer="1544" to-port="0" />
-		<edge from-layer="1543" from-port="0" to-layer="1544" to-port="1" />
-		<edge from-layer="1544" from-port="2" to-layer="1546" to-port="0" />
-		<edge from-layer="1545" from-port="0" to-layer="1546" to-port="1" />
-		<edge from-layer="1546" from-port="2" to-layer="1549" to-port="0" />
-		<edge from-layer="1546" from-port="2" to-layer="1577" to-port="1" />
-		<edge from-layer="1547" from-port="0" to-layer="1549" to-port="3" />
+		<edge from-layer="1536" from-port="2" to-layer="1537" to-port="1" />
+		<edge from-layer="1537" from-port="2" to-layer="1539" to-port="0" />
+		<edge from-layer="1538" from-port="0" to-layer="1539" to-port="1" />
+		<edge from-layer="1539" from-port="2" to-layer="1540" to-port="0" />
+		<edge from-layer="1539" from-port="2" to-layer="1554" to-port="0" />
+		<edge from-layer="1539" from-port="2" to-layer="1546" to-port="0" />
+		<edge from-layer="1540" from-port="1" to-layer="1543" to-port="0" />
+		<edge from-layer="1541" from-port="0" to-layer="1543" to-port="1" />
+		<edge from-layer="1542" from-port="0" to-layer="1543" to-port="2" />
+		<edge from-layer="1543" from-port="3" to-layer="1545" to-port="0" />
+		<edge from-layer="1544" from-port="0" to-layer="1545" to-port="1" />
+		<edge from-layer="1545" from-port="2" to-layer="1553" to-port="0" />
+		<edge from-layer="1546" from-port="1" to-layer="1549" to-port="0" />
 		<edge from-layer="1547" from-port="0" to-layer="1549" to-port="1" />
-		<edge from-layer="1548" from-port="0" to-layer="1549" to-port="4" />
 		<edge from-layer="1548" from-port="0" to-layer="1549" to-port="2" />
-		<edge from-layer="1549" from-port="5" to-layer="1556" to-port="0" />
-		<edge from-layer="1550" from-port="0" to-layer="1551" to-port="0" />
-		<edge from-layer="1551" from-port="1" to-layer="1553" to-port="0" />
-		<edge from-layer="1552" from-port="0" to-layer="1553" to-port="1" />
-		<edge from-layer="1553" from-port="2" to-layer="1555" to-port="0" />
-		<edge from-layer="1554" from-port="0" to-layer="1555" to-port="1" />
-		<edge from-layer="1555" from-port="2" to-layer="1556" to-port="1" />
+		<edge from-layer="1549" from-port="3" to-layer="1551" to-port="0" />
+		<edge from-layer="1550" from-port="0" to-layer="1551" to-port="1" />
+		<edge from-layer="1551" from-port="2" to-layer="1553" to-port="1" />
+		<edge from-layer="1552" from-port="0" to-layer="1553" to-port="2" />
+		<edge from-layer="1553" from-port="3" to-layer="1554" to-port="1" />
+		<edge from-layer="1554" from-port="2" to-layer="1556" to-port="0" />
+		<edge from-layer="1555" from-port="0" to-layer="1556" to-port="1" />
 		<edge from-layer="1556" from-port="2" to-layer="1557" to-port="1" />
-		<edge from-layer="1557" from-port="2" to-layer="1559" to-port="0" />
-		<edge from-layer="1557" from-port="2" to-layer="1563" to-port="0" />
-		<edge from-layer="1558" from-port="0" to-layer="1559" to-port="1" />
-		<edge from-layer="1559" from-port="2" to-layer="1560" to-port="0" />
-		<edge from-layer="1560" from-port="1" to-layer="1562" to-port="0" />
-		<edge from-layer="1561" from-port="0" to-layer="1562" to-port="1" />
-		<edge from-layer="1562" from-port="2" to-layer="1563" to-port="1" />
+		<edge from-layer="1557" from-port="2" to-layer="1558" to-port="0" />
+		<edge from-layer="1558" from-port="2" to-layer="1561" to-port="0" />
+		<edge from-layer="1558" from-port="2" to-layer="1560" to-port="0" />
+		<edge from-layer="1559" from-port="0" to-layer="1560" to-port="1" />
+		<edge from-layer="1560" from-port="2" to-layer="1561" to-port="1" />
+		<edge from-layer="1561" from-port="2" to-layer="1569" to-port="0" />
+		<edge from-layer="1561" from-port="2" to-layer="1563" to-port="0" />
+		<edge from-layer="1562" from-port="0" to-layer="1563" to-port="1" />
 		<edge from-layer="1563" from-port="2" to-layer="1565" to-port="0" />
 		<edge from-layer="1564" from-port="0" to-layer="1565" to-port="1" />
-		<edge from-layer="1565" from-port="2" to-layer="1568" to-port="0" />
-		<edge from-layer="1566" from-port="0" to-layer="1568" to-port="3" />
-		<edge from-layer="1566" from-port="0" to-layer="1568" to-port="1" />
-		<edge from-layer="1567" from-port="0" to-layer="1568" to-port="4" />
-		<edge from-layer="1567" from-port="0" to-layer="1568" to-port="2" />
-		<edge from-layer="1568" from-port="5" to-layer="1575" to-port="0" />
-		<edge from-layer="1569" from-port="0" to-layer="1570" to-port="0" />
-		<edge from-layer="1570" from-port="1" to-layer="1572" to-port="0" />
-		<edge from-layer="1571" from-port="0" to-layer="1572" to-port="1" />
-		<edge from-layer="1572" from-port="2" to-layer="1574" to-port="0" />
-		<edge from-layer="1573" from-port="0" to-layer="1574" to-port="1" />
-		<edge from-layer="1574" from-port="2" to-layer="1575" to-port="1" />
+		<edge from-layer="1565" from-port="2" to-layer="1567" to-port="0" />
+		<edge from-layer="1566" from-port="0" to-layer="1567" to-port="1" />
+		<edge from-layer="1567" from-port="2" to-layer="1568" to-port="0" />
+		<edge from-layer="1568" from-port="1" to-layer="1569" to-port="1" />
+		<edge from-layer="1569" from-port="2" to-layer="1571" to-port="0" />
+		<edge from-layer="1570" from-port="0" to-layer="1571" to-port="1" />
+		<edge from-layer="1571" from-port="2" to-layer="1573" to-port="0" />
+		<edge from-layer="1572" from-port="0" to-layer="1573" to-port="1" />
+		<edge from-layer="1573" from-port="2" to-layer="1575" to-port="0" />
+		<edge from-layer="1573" from-port="2" to-layer="1588" to-port="1" />
+		<edge from-layer="1574" from-port="0" to-layer="1575" to-port="1" />
 		<edge from-layer="1575" from-port="2" to-layer="1576" to-port="1" />
-		<edge from-layer="1576" from-port="2" to-layer="1577" to-port="0" />
-		<edge from-layer="1577" from-port="2" to-layer="1579" to-port="0" />
-		<edge from-layer="1577" from-port="2" to-layer="1580" to-port="0" />
-		<edge from-layer="1578" from-port="0" to-layer="1579" to-port="1" />
-		<edge from-layer="1579" from-port="2" to-layer="1580" to-port="1" />
-		<edge from-layer="1580" from-port="2" to-layer="1582" to-port="0" />
-		<edge from-layer="1580" from-port="2" to-layer="1588" to-port="0" />
-		<edge from-layer="1581" from-port="0" to-layer="1582" to-port="1" />
+		<edge from-layer="1576" from-port="2" to-layer="1582" to-port="0" />
+		<edge from-layer="1576" from-port="2" to-layer="1578" to-port="0" />
+		<edge from-layer="1577" from-port="0" to-layer="1578" to-port="1" />
+		<edge from-layer="1578" from-port="2" to-layer="1579" to-port="0" />
+		<edge from-layer="1579" from-port="1" to-layer="1581" to-port="0" />
+		<edge from-layer="1580" from-port="0" to-layer="1581" to-port="1" />
+		<edge from-layer="1581" from-port="2" to-layer="1582" to-port="1" />
 		<edge from-layer="1582" from-port="2" to-layer="1584" to-port="0" />
 		<edge from-layer="1583" from-port="0" to-layer="1584" to-port="1" />
 		<edge from-layer="1584" from-port="2" to-layer="1586" to-port="0" />
 		<edge from-layer="1585" from-port="0" to-layer="1586" to-port="1" />
-		<edge from-layer="1586" from-port="2" to-layer="1587" to-port="0" />
-		<edge from-layer="1587" from-port="1" to-layer="1588" to-port="1" />
+		<edge from-layer="1586" from-port="2" to-layer="1587" to-port="1" />
+		<edge from-layer="1587" from-port="2" to-layer="1588" to-port="0" />
+		<edge from-layer="1588" from-port="2" to-layer="1591" to-port="0" />
 		<edge from-layer="1588" from-port="2" to-layer="1590" to-port="0" />
 		<edge from-layer="1589" from-port="0" to-layer="1590" to-port="1" />
-		<edge from-layer="1590" from-port="2" to-layer="1592" to-port="0" />
-		<edge from-layer="1591" from-port="0" to-layer="1592" to-port="1" />
-		<edge from-layer="1592" from-port="2" to-layer="1718" to-port="1" />
-		<edge from-layer="1592" from-port="2" to-layer="1662" to-port="0" />
-		<edge from-layer="1592" from-port="2" to-layer="1626" to-port="0" />
-		<edge from-layer="1592" from-port="2" to-layer="1595" to-port="0" />
-		<edge from-layer="1593" from-port="0" to-layer="1595" to-port="3" />
-		<edge from-layer="1593" from-port="0" to-layer="1662" to-port="3" />
-		<edge from-layer="1593" from-port="0" to-layer="1662" to-port="1" />
-		<edge from-layer="1593" from-port="0" to-layer="1595" to-port="1" />
-		<edge from-layer="1593" from-port="0" to-layer="1626" to-port="3" />
-		<edge from-layer="1593" from-port="0" to-layer="1626" to-port="1" />
-		<edge from-layer="1594" from-port="0" to-layer="1662" to-port="4" />
-		<edge from-layer="1594" from-port="0" to-layer="1662" to-port="2" />
-		<edge from-layer="1594" from-port="0" to-layer="1595" to-port="2" />
-		<edge from-layer="1594" from-port="0" to-layer="1595" to-port="4" />
-		<edge from-layer="1594" from-port="0" to-layer="1626" to-port="4" />
-		<edge from-layer="1594" from-port="0" to-layer="1626" to-port="2" />
-		<edge from-layer="1595" from-port="5" to-layer="1602" to-port="0" />
-		<edge from-layer="1596" from-port="0" to-layer="1597" to-port="0" />
-		<edge from-layer="1597" from-port="1" to-layer="1599" to-port="0" />
-		<edge from-layer="1598" from-port="0" to-layer="1599" to-port="1" />
+		<edge from-layer="1590" from-port="2" to-layer="1591" to-port="1" />
+		<edge from-layer="1591" from-port="2" to-layer="1593" to-port="0" />
+		<edge from-layer="1591" from-port="2" to-layer="1599" to-port="0" />
+		<edge from-layer="1592" from-port="0" to-layer="1593" to-port="1" />
+		<edge from-layer="1593" from-port="2" to-layer="1595" to-port="0" />
+		<edge from-layer="1594" from-port="0" to-layer="1595" to-port="1" />
+		<edge from-layer="1595" from-port="2" to-layer="1597" to-port="0" />
+		<edge from-layer="1596" from-port="0" to-layer="1597" to-port="1" />
+		<edge from-layer="1597" from-port="2" to-layer="1598" to-port="0" />
+		<edge from-layer="1598" from-port="1" to-layer="1599" to-port="1" />
 		<edge from-layer="1599" from-port="2" to-layer="1601" to-port="0" />
 		<edge from-layer="1600" from-port="0" to-layer="1601" to-port="1" />
-		<edge from-layer="1601" from-port="2" to-layer="1602" to-port="1" />
-		<edge from-layer="1602" from-port="2" to-layer="1603" to-port="1" />
-		<edge from-layer="1603" from-port="2" to-layer="1606" to-port="0" />
-		<edge from-layer="1604" from-port="0" to-layer="1606" to-port="1" />
-		<edge from-layer="1604" from-port="0" to-layer="1606" to-port="3" />
-		<edge from-layer="1605" from-port="0" to-layer="1606" to-port="2" />
-		<edge from-layer="1605" from-port="0" to-layer="1606" to-port="4" />
-		<edge from-layer="1606" from-port="5" to-layer="1607" to-port="0" />
-		<edge from-layer="1606" from-port="5" to-layer="1613" to-port="0" />
-		<edge from-layer="1606" from-port="5" to-layer="1622" to-port="0" />
+		<edge from-layer="1601" from-port="2" to-layer="1603" to-port="0" />
+		<edge from-layer="1602" from-port="0" to-layer="1603" to-port="1" />
+		<edge from-layer="1603" from-port="2" to-layer="1627" to-port="0" />
+		<edge from-layer="1603" from-port="2" to-layer="1654" to-port="0" />
+		<edge from-layer="1603" from-port="2" to-layer="1695" to-port="1" />
+		<edge from-layer="1603" from-port="2" to-layer="1605" to-port="0" />
+		<edge from-layer="1604" from-port="0" to-layer="1605" to-port="1" />
+		<edge from-layer="1605" from-port="2" to-layer="1606" to-port="1" />
+		<edge from-layer="1606" from-port="2" to-layer="1613" to-port="0" />
+		<edge from-layer="1606" from-port="2" to-layer="1622" to-port="0" />
+		<edge from-layer="1606" from-port="2" to-layer="1607" to-port="0" />
 		<edge from-layer="1607" from-port="1" to-layer="1610" to-port="0" />
 		<edge from-layer="1608" from-port="0" to-layer="1610" to-port="1" />
 		<edge from-layer="1609" from-port="0" to-layer="1610" to-port="2" />
@@ -34624,893 +25436,155 @@
 		<edge from-layer="1621" from-port="4" to-layer="1622" to-port="1" />
 		<edge from-layer="1622" from-port="2" to-layer="1624" to-port="0" />
 		<edge from-layer="1623" from-port="0" to-layer="1624" to-port="1" />
-		<edge from-layer="1624" from-port="2" to-layer="1656" to-port="0" />
-		<edge from-layer="1625" from-port="0" to-layer="1634" to-port="0" />
-		<edge from-layer="1626" from-port="5" to-layer="1633" to-port="0" />
-		<edge from-layer="1627" from-port="0" to-layer="1628" to-port="0" />
-		<edge from-layer="1628" from-port="1" to-layer="1630" to-port="0" />
-		<edge from-layer="1629" from-port="0" to-layer="1630" to-port="1" />
-		<edge from-layer="1630" from-port="2" to-layer="1632" to-port="0" />
-		<edge from-layer="1631" from-port="0" to-layer="1632" to-port="1" />
-		<edge from-layer="1632" from-port="2" to-layer="1633" to-port="1" />
-		<edge from-layer="1633" from-port="2" to-layer="1634" to-port="1" />
-		<edge from-layer="1634" from-port="2" to-layer="1637" to-port="0" />
-		<edge from-layer="1635" from-port="0" to-layer="1637" to-port="3" />
-		<edge from-layer="1635" from-port="0" to-layer="1637" to-port="1" />
-		<edge from-layer="1636" from-port="0" to-layer="1637" to-port="2" />
-		<edge from-layer="1636" from-port="0" to-layer="1637" to-port="4" />
-		<edge from-layer="1637" from-port="5" to-layer="1653" to-port="0" />
-		<edge from-layer="1637" from-port="5" to-layer="1638" to-port="0" />
-		<edge from-layer="1637" from-port="5" to-layer="1644" to-port="0" />
-		<edge from-layer="1638" from-port="1" to-layer="1641" to-port="0" />
-		<edge from-layer="1639" from-port="0" to-layer="1641" to-port="1" />
-		<edge from-layer="1640" from-port="0" to-layer="1641" to-port="2" />
-		<edge from-layer="1641" from-port="3" to-layer="1643" to-port="0" />
-		<edge from-layer="1642" from-port="0" to-layer="1643" to-port="1" />
-		<edge from-layer="1643" from-port="2" to-layer="1652" to-port="0" />
-		<edge from-layer="1644" from-port="1" to-layer="1647" to-port="0" />
-		<edge from-layer="1645" from-port="0" to-layer="1647" to-port="1" />
-		<edge from-layer="1646" from-port="0" to-layer="1647" to-port="2" />
-		<edge from-layer="1647" from-port="3" to-layer="1649" to-port="0" />
+		<edge from-layer="1624" from-port="2" to-layer="1647" to-port="0" />
+		<edge from-layer="1625" from-port="0" to-layer="1628" to-port="0" />
+		<edge from-layer="1626" from-port="0" to-layer="1627" to-port="1" />
+		<edge from-layer="1627" from-port="2" to-layer="1628" to-port="1" />
+		<edge from-layer="1628" from-port="2" to-layer="1635" to-port="0" />
+		<edge from-layer="1628" from-port="2" to-layer="1629" to-port="0" />
+		<edge from-layer="1628" from-port="2" to-layer="1644" to-port="0" />
+		<edge from-layer="1629" from-port="1" to-layer="1632" to-port="0" />
+		<edge from-layer="1630" from-port="0" to-layer="1632" to-port="1" />
+		<edge from-layer="1631" from-port="0" to-layer="1632" to-port="2" />
+		<edge from-layer="1632" from-port="3" to-layer="1634" to-port="0" />
+		<edge from-layer="1633" from-port="0" to-layer="1634" to-port="1" />
+		<edge from-layer="1634" from-port="2" to-layer="1643" to-port="0" />
+		<edge from-layer="1635" from-port="1" to-layer="1638" to-port="0" />
+		<edge from-layer="1636" from-port="0" to-layer="1638" to-port="1" />
+		<edge from-layer="1637" from-port="0" to-layer="1638" to-port="2" />
+		<edge from-layer="1638" from-port="3" to-layer="1640" to-port="0" />
+		<edge from-layer="1639" from-port="0" to-layer="1640" to-port="1" />
+		<edge from-layer="1640" from-port="2" to-layer="1643" to-port="1" />
+		<edge from-layer="1641" from-port="0" to-layer="1643" to-port="2" />
+		<edge from-layer="1642" from-port="0" to-layer="1643" to-port="3" />
+		<edge from-layer="1643" from-port="4" to-layer="1644" to-port="1" />
+		<edge from-layer="1644" from-port="2" to-layer="1646" to-port="0" />
+		<edge from-layer="1645" from-port="0" to-layer="1646" to-port="1" />
+		<edge from-layer="1646" from-port="2" to-layer="1647" to-port="1" />
+		<edge from-layer="1647" from-port="2" to-layer="1649" to-port="0" />
 		<edge from-layer="1648" from-port="0" to-layer="1649" to-port="1" />
-		<edge from-layer="1649" from-port="2" to-layer="1652" to-port="1" />
-		<edge from-layer="1650" from-port="0" to-layer="1652" to-port="2" />
-		<edge from-layer="1651" from-port="0" to-layer="1652" to-port="3" />
-		<edge from-layer="1652" from-port="4" to-layer="1653" to-port="1" />
-		<edge from-layer="1653" from-port="2" to-layer="1655" to-port="0" />
-		<edge from-layer="1654" from-port="0" to-layer="1655" to-port="1" />
-		<edge from-layer="1655" from-port="2" to-layer="1656" to-port="1" />
-		<edge from-layer="1656" from-port="2" to-layer="1658" to-port="0" />
-		<edge from-layer="1657" from-port="0" to-layer="1658" to-port="1" />
-		<edge from-layer="1658" from-port="2" to-layer="1659" to-port="0" />
-		<edge from-layer="1659" from-port="2" to-layer="1660" to-port="0" />
-		<edge from-layer="1660" from-port="1" to-layer="1689" to-port="0" />
-		<edge from-layer="1661" from-port="0" to-layer="1670" to-port="0" />
-		<edge from-layer="1662" from-port="5" to-layer="1669" to-port="0" />
-		<edge from-layer="1663" from-port="0" to-layer="1664" to-port="0" />
-		<edge from-layer="1664" from-port="1" to-layer="1666" to-port="0" />
-		<edge from-layer="1665" from-port="0" to-layer="1666" to-port="1" />
-		<edge from-layer="1666" from-port="2" to-layer="1668" to-port="0" />
-		<edge from-layer="1667" from-port="0" to-layer="1668" to-port="1" />
-		<edge from-layer="1668" from-port="2" to-layer="1669" to-port="1" />
-		<edge from-layer="1669" from-port="2" to-layer="1670" to-port="1" />
-		<edge from-layer="1670" from-port="2" to-layer="1677" to-port="0" />
-		<edge from-layer="1670" from-port="2" to-layer="1686" to-port="0" />
-		<edge from-layer="1670" from-port="2" to-layer="1671" to-port="0" />
-		<edge from-layer="1671" from-port="1" to-layer="1674" to-port="0" />
-		<edge from-layer="1672" from-port="0" to-layer="1674" to-port="1" />
-		<edge from-layer="1673" from-port="0" to-layer="1674" to-port="2" />
-		<edge from-layer="1674" from-port="3" to-layer="1676" to-port="0" />
+		<edge from-layer="1649" from-port="2" to-layer="1650" to-port="0" />
+		<edge from-layer="1650" from-port="2" to-layer="1651" to-port="0" />
+		<edge from-layer="1651" from-port="1" to-layer="1674" to-port="0" />
+		<edge from-layer="1652" from-port="0" to-layer="1655" to-port="0" />
+		<edge from-layer="1653" from-port="0" to-layer="1654" to-port="1" />
+		<edge from-layer="1654" from-port="2" to-layer="1655" to-port="1" />
+		<edge from-layer="1655" from-port="2" to-layer="1671" to-port="0" />
+		<edge from-layer="1655" from-port="2" to-layer="1662" to-port="0" />
+		<edge from-layer="1655" from-port="2" to-layer="1656" to-port="0" />
+		<edge from-layer="1656" from-port="1" to-layer="1659" to-port="0" />
+		<edge from-layer="1657" from-port="0" to-layer="1659" to-port="1" />
+		<edge from-layer="1658" from-port="0" to-layer="1659" to-port="2" />
+		<edge from-layer="1659" from-port="3" to-layer="1661" to-port="0" />
+		<edge from-layer="1660" from-port="0" to-layer="1661" to-port="1" />
+		<edge from-layer="1661" from-port="2" to-layer="1670" to-port="0" />
+		<edge from-layer="1662" from-port="1" to-layer="1665" to-port="0" />
+		<edge from-layer="1663" from-port="0" to-layer="1665" to-port="1" />
+		<edge from-layer="1664" from-port="0" to-layer="1665" to-port="2" />
+		<edge from-layer="1665" from-port="3" to-layer="1667" to-port="0" />
+		<edge from-layer="1666" from-port="0" to-layer="1667" to-port="1" />
+		<edge from-layer="1667" from-port="2" to-layer="1670" to-port="1" />
+		<edge from-layer="1668" from-port="0" to-layer="1670" to-port="2" />
+		<edge from-layer="1669" from-port="0" to-layer="1670" to-port="3" />
+		<edge from-layer="1670" from-port="4" to-layer="1671" to-port="1" />
+		<edge from-layer="1671" from-port="2" to-layer="1673" to-port="0" />
+		<edge from-layer="1672" from-port="0" to-layer="1673" to-port="1" />
+		<edge from-layer="1673" from-port="2" to-layer="1674" to-port="1" />
+		<edge from-layer="1674" from-port="2" to-layer="1676" to-port="0" />
 		<edge from-layer="1675" from-port="0" to-layer="1676" to-port="1" />
-		<edge from-layer="1676" from-port="2" to-layer="1685" to-port="0" />
+		<edge from-layer="1676" from-port="2" to-layer="1677" to-port="0" />
+		<edge from-layer="1676" from-port="2" to-layer="1691" to-port="0" />
+		<edge from-layer="1676" from-port="2" to-layer="1683" to-port="0" />
 		<edge from-layer="1677" from-port="1" to-layer="1680" to-port="0" />
 		<edge from-layer="1678" from-port="0" to-layer="1680" to-port="1" />
 		<edge from-layer="1679" from-port="0" to-layer="1680" to-port="2" />
 		<edge from-layer="1680" from-port="3" to-layer="1682" to-port="0" />
 		<edge from-layer="1681" from-port="0" to-layer="1682" to-port="1" />
-		<edge from-layer="1682" from-port="2" to-layer="1685" to-port="1" />
-		<edge from-layer="1683" from-port="0" to-layer="1685" to-port="2" />
-		<edge from-layer="1684" from-port="0" to-layer="1685" to-port="3" />
-		<edge from-layer="1685" from-port="4" to-layer="1686" to-port="1" />
-		<edge from-layer="1686" from-port="2" to-layer="1688" to-port="0" />
+		<edge from-layer="1682" from-port="2" to-layer="1690" to-port="0" />
+		<edge from-layer="1683" from-port="1" to-layer="1686" to-port="0" />
+		<edge from-layer="1684" from-port="0" to-layer="1686" to-port="1" />
+		<edge from-layer="1685" from-port="0" to-layer="1686" to-port="2" />
+		<edge from-layer="1686" from-port="3" to-layer="1688" to-port="0" />
 		<edge from-layer="1687" from-port="0" to-layer="1688" to-port="1" />
-		<edge from-layer="1688" from-port="2" to-layer="1689" to-port="1" />
-		<edge from-layer="1689" from-port="2" to-layer="1692" to-port="0" />
-		<edge from-layer="1690" from-port="0" to-layer="1692" to-port="3" />
-		<edge from-layer="1690" from-port="0" to-layer="1692" to-port="1" />
-		<edge from-layer="1691" from-port="0" to-layer="1692" to-port="4" />
-		<edge from-layer="1691" from-port="0" to-layer="1692" to-port="2" />
-		<edge from-layer="1692" from-port="5" to-layer="1694" to-port="0" />
-		<edge from-layer="1693" from-port="0" to-layer="1694" to-port="1" />
-		<edge from-layer="1694" from-port="2" to-layer="1701" to-port="0" />
-		<edge from-layer="1694" from-port="2" to-layer="1709" to-port="0" />
+		<edge from-layer="1688" from-port="2" to-layer="1690" to-port="1" />
+		<edge from-layer="1689" from-port="0" to-layer="1690" to-port="2" />
+		<edge from-layer="1690" from-port="3" to-layer="1691" to-port="1" />
+		<edge from-layer="1691" from-port="2" to-layer="1693" to-port="0" />
+		<edge from-layer="1692" from-port="0" to-layer="1693" to-port="1" />
+		<edge from-layer="1693" from-port="2" to-layer="1694" to-port="1" />
 		<edge from-layer="1694" from-port="2" to-layer="1695" to-port="0" />
-		<edge from-layer="1695" from-port="1" to-layer="1698" to-port="0" />
-		<edge from-layer="1696" from-port="0" to-layer="1698" to-port="1" />
-		<edge from-layer="1697" from-port="0" to-layer="1698" to-port="2" />
-		<edge from-layer="1698" from-port="3" to-layer="1700" to-port="0" />
+		<edge from-layer="1695" from-port="2" to-layer="1698" to-port="0" />
+		<edge from-layer="1695" from-port="2" to-layer="1697" to-port="0" />
+		<edge from-layer="1696" from-port="0" to-layer="1697" to-port="1" />
+		<edge from-layer="1697" from-port="2" to-layer="1698" to-port="1" />
+		<edge from-layer="1698" from-port="2" to-layer="1700" to-port="0" />
+		<edge from-layer="1698" from-port="2" to-layer="1706" to-port="0" />
 		<edge from-layer="1699" from-port="0" to-layer="1700" to-port="1" />
-		<edge from-layer="1700" from-port="2" to-layer="1708" to-port="0" />
-		<edge from-layer="1701" from-port="1" to-layer="1704" to-port="0" />
-		<edge from-layer="1702" from-port="0" to-layer="1704" to-port="1" />
-		<edge from-layer="1703" from-port="0" to-layer="1704" to-port="2" />
-		<edge from-layer="1704" from-port="3" to-layer="1706" to-port="0" />
-		<edge from-layer="1705" from-port="0" to-layer="1706" to-port="1" />
-		<edge from-layer="1706" from-port="2" to-layer="1708" to-port="1" />
-		<edge from-layer="1707" from-port="0" to-layer="1708" to-port="2" />
-		<edge from-layer="1708" from-port="3" to-layer="1709" to-port="1" />
-		<edge from-layer="1709" from-port="2" to-layer="1716" to-port="0" />
-		<edge from-layer="1710" from-port="0" to-layer="1711" to-port="0" />
-		<edge from-layer="1711" from-port="1" to-layer="1713" to-port="0" />
-		<edge from-layer="1712" from-port="0" to-layer="1713" to-port="1" />
+		<edge from-layer="1700" from-port="2" to-layer="1702" to-port="0" />
+		<edge from-layer="1701" from-port="0" to-layer="1702" to-port="1" />
+		<edge from-layer="1702" from-port="2" to-layer="1704" to-port="0" />
+		<edge from-layer="1703" from-port="0" to-layer="1704" to-port="1" />
+		<edge from-layer="1704" from-port="2" to-layer="1705" to-port="0" />
+		<edge from-layer="1705" from-port="1" to-layer="1706" to-port="1" />
+		<edge from-layer="1706" from-port="2" to-layer="1708" to-port="0" />
+		<edge from-layer="1707" from-port="0" to-layer="1708" to-port="1" />
+		<edge from-layer="1708" from-port="2" to-layer="1710" to-port="0" />
+		<edge from-layer="1709" from-port="0" to-layer="1710" to-port="1" />
+		<edge from-layer="1710" from-port="2" to-layer="1712" to-port="0" />
+		<edge from-layer="1710" from-port="2" to-layer="1725" to-port="1" />
+		<edge from-layer="1711" from-port="0" to-layer="1712" to-port="1" />
+		<edge from-layer="1712" from-port="2" to-layer="1713" to-port="1" />
 		<edge from-layer="1713" from-port="2" to-layer="1715" to-port="0" />
+		<edge from-layer="1713" from-port="2" to-layer="1719" to-port="0" />
 		<edge from-layer="1714" from-port="0" to-layer="1715" to-port="1" />
-		<edge from-layer="1715" from-port="2" to-layer="1716" to-port="1" />
-		<edge from-layer="1716" from-port="2" to-layer="1717" to-port="1" />
-		<edge from-layer="1717" from-port="2" to-layer="1718" to-port="0" />
-		<edge from-layer="1718" from-port="2" to-layer="1720" to-port="0" />
-		<edge from-layer="1718" from-port="2" to-layer="1721" to-port="0" />
-		<edge from-layer="1719" from-port="0" to-layer="1720" to-port="1" />
-		<edge from-layer="1720" from-port="2" to-layer="1721" to-port="1" />
+		<edge from-layer="1715" from-port="2" to-layer="1716" to-port="0" />
+		<edge from-layer="1716" from-port="1" to-layer="1718" to-port="0" />
+		<edge from-layer="1717" from-port="0" to-layer="1718" to-port="1" />
+		<edge from-layer="1718" from-port="2" to-layer="1719" to-port="1" />
+		<edge from-layer="1719" from-port="2" to-layer="1721" to-port="0" />
+		<edge from-layer="1720" from-port="0" to-layer="1721" to-port="1" />
 		<edge from-layer="1721" from-port="2" to-layer="1723" to-port="0" />
-		<edge from-layer="1721" from-port="2" to-layer="1729" to-port="0" />
 		<edge from-layer="1722" from-port="0" to-layer="1723" to-port="1" />
-		<edge from-layer="1723" from-port="2" to-layer="1725" to-port="0" />
-		<edge from-layer="1724" from-port="0" to-layer="1725" to-port="1" />
+		<edge from-layer="1723" from-port="2" to-layer="1724" to-port="1" />
+		<edge from-layer="1724" from-port="2" to-layer="1725" to-port="0" />
 		<edge from-layer="1725" from-port="2" to-layer="1727" to-port="0" />
+		<edge from-layer="1725" from-port="2" to-layer="1728" to-port="0" />
 		<edge from-layer="1726" from-port="0" to-layer="1727" to-port="1" />
-		<edge from-layer="1727" from-port="2" to-layer="1728" to-port="0" />
-		<edge from-layer="1728" from-port="1" to-layer="1729" to-port="1" />
-		<edge from-layer="1729" from-port="2" to-layer="1731" to-port="0" />
-		<edge from-layer="1730" from-port="0" to-layer="1731" to-port="1" />
-		<edge from-layer="1731" from-port="2" to-layer="1733" to-port="0" />
-		<edge from-layer="1732" from-port="0" to-layer="1733" to-port="1" />
-		<edge from-layer="1733" from-port="2" to-layer="1764" to-port="1" />
-		<edge from-layer="1733" from-port="2" to-layer="1736" to-port="0" />
-		<edge from-layer="1734" from-port="0" to-layer="1736" to-port="1" />
-		<edge from-layer="1734" from-port="0" to-layer="1736" to-port="3" />
-		<edge from-layer="1735" from-port="0" to-layer="1736" to-port="4" />
-		<edge from-layer="1735" from-port="0" to-layer="1736" to-port="2" />
-		<edge from-layer="1736" from-port="5" to-layer="1743" to-port="0" />
-		<edge from-layer="1737" from-port="0" to-layer="1738" to-port="0" />
-		<edge from-layer="1738" from-port="1" to-layer="1740" to-port="0" />
+		<edge from-layer="1727" from-port="2" to-layer="1728" to-port="1" />
+		<edge from-layer="1728" from-port="2" to-layer="1730" to-port="0" />
+		<edge from-layer="1728" from-port="2" to-layer="1736" to-port="0" />
+		<edge from-layer="1729" from-port="0" to-layer="1730" to-port="1" />
+		<edge from-layer="1730" from-port="2" to-layer="1732" to-port="0" />
+		<edge from-layer="1731" from-port="0" to-layer="1732" to-port="1" />
+		<edge from-layer="1732" from-port="2" to-layer="1734" to-port="0" />
+		<edge from-layer="1733" from-port="0" to-layer="1734" to-port="1" />
+		<edge from-layer="1734" from-port="2" to-layer="1735" to-port="0" />
+		<edge from-layer="1735" from-port="1" to-layer="1736" to-port="1" />
+		<edge from-layer="1736" from-port="2" to-layer="1738" to-port="0" />
+		<edge from-layer="1737" from-port="0" to-layer="1738" to-port="1" />
+		<edge from-layer="1738" from-port="2" to-layer="1740" to-port="0" />
 		<edge from-layer="1739" from-port="0" to-layer="1740" to-port="1" />
-		<edge from-layer="1740" from-port="2" to-layer="1742" to-port="0" />
-		<edge from-layer="1741" from-port="0" to-layer="1742" to-port="1" />
-		<edge from-layer="1742" from-port="2" to-layer="1743" to-port="1" />
-		<edge from-layer="1743" from-port="2" to-layer="1744" to-port="1" />
-		<edge from-layer="1744" from-port="2" to-layer="1750" to-port="0" />
-		<edge from-layer="1744" from-port="2" to-layer="1746" to-port="0" />
-		<edge from-layer="1745" from-port="0" to-layer="1746" to-port="1" />
-		<edge from-layer="1746" from-port="2" to-layer="1747" to-port="0" />
-		<edge from-layer="1747" from-port="1" to-layer="1749" to-port="0" />
-		<edge from-layer="1748" from-port="0" to-layer="1749" to-port="1" />
-		<edge from-layer="1749" from-port="2" to-layer="1750" to-port="1" />
-		<edge from-layer="1750" from-port="2" to-layer="1752" to-port="0" />
-		<edge from-layer="1751" from-port="0" to-layer="1752" to-port="1" />
-		<edge from-layer="1752" from-port="2" to-layer="1755" to-port="0" />
-		<edge from-layer="1753" from-port="0" to-layer="1755" to-port="1" />
-		<edge from-layer="1753" from-port="0" to-layer="1755" to-port="3" />
-		<edge from-layer="1754" from-port="0" to-layer="1755" to-port="2" />
-		<edge from-layer="1754" from-port="0" to-layer="1755" to-port="4" />
-		<edge from-layer="1755" from-port="5" to-layer="1762" to-port="0" />
-		<edge from-layer="1756" from-port="0" to-layer="1757" to-port="0" />
-		<edge from-layer="1757" from-port="1" to-layer="1759" to-port="0" />
+		<edge from-layer="1740" from-port="2" to-layer="1743" to-port="0" />
+		<edge from-layer="1741" from-port="0" to-layer="1743" to-port="1" />
+		<edge from-layer="1742" from-port="0" to-layer="1743" to-port="2" />
+		<edge from-layer="1743" from-port="3" to-layer="1745" to-port="0" />
+		<edge from-layer="1744" from-port="0" to-layer="1745" to-port="1" />
+		<edge from-layer="1745" from-port="2" to-layer="1747" to-port="0" />
+		<edge from-layer="1746" from-port="0" to-layer="1747" to-port="1" />
+		<edge from-layer="1747" from-port="2" to-layer="1751" to-port="0" />
+		<edge from-layer="1748" from-port="0" to-layer="1750" to-port="0" />
+		<edge from-layer="1749" from-port="0" to-layer="1750" to-port="1" />
+		<edge from-layer="1750" from-port="2" to-layer="1751" to-port="1" />
+		<edge from-layer="1751" from-port="2" to-layer="1752" to-port="0" />
+		<edge from-layer="1752" from-port="1" to-layer="1754" to-port="0" />
+		<edge from-layer="1753" from-port="0" to-layer="1754" to-port="1" />
+		<edge from-layer="1754" from-port="2" to-layer="1756" to-port="0" />
+		<edge from-layer="1755" from-port="0" to-layer="1756" to-port="1" />
+		<edge from-layer="1756" from-port="2" to-layer="1760" to-port="0" />
+		<edge from-layer="1757" from-port="0" to-layer="1759" to-port="0" />
 		<edge from-layer="1758" from-port="0" to-layer="1759" to-port="1" />
-		<edge from-layer="1759" from-port="2" to-layer="1761" to-port="0" />
-		<edge from-layer="1760" from-port="0" to-layer="1761" to-port="1" />
-		<edge from-layer="1761" from-port="2" to-layer="1762" to-port="1" />
-		<edge from-layer="1762" from-port="2" to-layer="1763" to-port="1" />
-		<edge from-layer="1763" from-port="2" to-layer="1764" to-port="0" />
-		<edge from-layer="1764" from-port="2" to-layer="1767" to-port="0" />
-		<edge from-layer="1764" from-port="2" to-layer="1766" to-port="0" />
-		<edge from-layer="1765" from-port="0" to-layer="1766" to-port="1" />
-		<edge from-layer="1766" from-port="2" to-layer="1767" to-port="1" />
-		<edge from-layer="1767" from-port="2" to-layer="1775" to-port="0" />
-		<edge from-layer="1767" from-port="2" to-layer="1769" to-port="0" />
-		<edge from-layer="1768" from-port="0" to-layer="1769" to-port="1" />
-		<edge from-layer="1769" from-port="2" to-layer="1771" to-port="0" />
-		<edge from-layer="1770" from-port="0" to-layer="1771" to-port="1" />
-		<edge from-layer="1771" from-port="2" to-layer="1773" to-port="0" />
-		<edge from-layer="1772" from-port="0" to-layer="1773" to-port="1" />
-		<edge from-layer="1773" from-port="2" to-layer="1774" to-port="0" />
-		<edge from-layer="1774" from-port="1" to-layer="1775" to-port="1" />
-		<edge from-layer="1775" from-port="2" to-layer="1777" to-port="0" />
-		<edge from-layer="1776" from-port="0" to-layer="1777" to-port="1" />
-		<edge from-layer="1777" from-port="2" to-layer="1779" to-port="0" />
-		<edge from-layer="1778" from-port="0" to-layer="1779" to-port="1" />
-		<edge from-layer="1779" from-port="2" to-layer="1849" to-port="0" />
-		<edge from-layer="1779" from-port="2" to-layer="1813" to-port="0" />
-		<edge from-layer="1779" from-port="2" to-layer="1782" to-port="0" />
-		<edge from-layer="1779" from-port="2" to-layer="1905" to-port="1" />
-		<edge from-layer="1780" from-port="0" to-layer="1782" to-port="3" />
-		<edge from-layer="1780" from-port="0" to-layer="1813" to-port="3" />
-		<edge from-layer="1780" from-port="0" to-layer="1813" to-port="1" />
-		<edge from-layer="1780" from-port="0" to-layer="1782" to-port="1" />
-		<edge from-layer="1780" from-port="0" to-layer="1849" to-port="3" />
-		<edge from-layer="1780" from-port="0" to-layer="1849" to-port="1" />
-		<edge from-layer="1781" from-port="0" to-layer="1782" to-port="2" />
-		<edge from-layer="1781" from-port="0" to-layer="1813" to-port="2" />
-		<edge from-layer="1781" from-port="0" to-layer="1782" to-port="4" />
-		<edge from-layer="1781" from-port="0" to-layer="1849" to-port="4" />
-		<edge from-layer="1781" from-port="0" to-layer="1813" to-port="4" />
-		<edge from-layer="1781" from-port="0" to-layer="1849" to-port="2" />
-		<edge from-layer="1782" from-port="5" to-layer="1789" to-port="0" />
-		<edge from-layer="1783" from-port="0" to-layer="1784" to-port="0" />
-		<edge from-layer="1784" from-port="1" to-layer="1786" to-port="0" />
-		<edge from-layer="1785" from-port="0" to-layer="1786" to-port="1" />
-		<edge from-layer="1786" from-port="2" to-layer="1788" to-port="0" />
-		<edge from-layer="1787" from-port="0" to-layer="1788" to-port="1" />
-		<edge from-layer="1788" from-port="2" to-layer="1789" to-port="1" />
-		<edge from-layer="1789" from-port="2" to-layer="1790" to-port="1" />
-		<edge from-layer="1790" from-port="2" to-layer="1793" to-port="0" />
-		<edge from-layer="1791" from-port="0" to-layer="1793" to-port="1" />
-		<edge from-layer="1791" from-port="0" to-layer="1793" to-port="3" />
-		<edge from-layer="1792" from-port="0" to-layer="1793" to-port="2" />
-		<edge from-layer="1792" from-port="0" to-layer="1793" to-port="4" />
-		<edge from-layer="1793" from-port="5" to-layer="1800" to-port="0" />
-		<edge from-layer="1793" from-port="5" to-layer="1794" to-port="0" />
-		<edge from-layer="1793" from-port="5" to-layer="1809" to-port="0" />
-		<edge from-layer="1794" from-port="1" to-layer="1797" to-port="0" />
-		<edge from-layer="1795" from-port="0" to-layer="1797" to-port="1" />
-		<edge from-layer="1796" from-port="0" to-layer="1797" to-port="2" />
-		<edge from-layer="1797" from-port="3" to-layer="1799" to-port="0" />
-		<edge from-layer="1798" from-port="0" to-layer="1799" to-port="1" />
-		<edge from-layer="1799" from-port="2" to-layer="1808" to-port="0" />
-		<edge from-layer="1800" from-port="1" to-layer="1803" to-port="0" />
-		<edge from-layer="1801" from-port="0" to-layer="1803" to-port="1" />
-		<edge from-layer="1802" from-port="0" to-layer="1803" to-port="2" />
-		<edge from-layer="1803" from-port="3" to-layer="1805" to-port="0" />
-		<edge from-layer="1804" from-port="0" to-layer="1805" to-port="1" />
-		<edge from-layer="1805" from-port="2" to-layer="1808" to-port="1" />
-		<edge from-layer="1806" from-port="0" to-layer="1808" to-port="2" />
-		<edge from-layer="1807" from-port="0" to-layer="1808" to-port="3" />
-		<edge from-layer="1808" from-port="4" to-layer="1809" to-port="1" />
-		<edge from-layer="1809" from-port="2" to-layer="1811" to-port="0" />
-		<edge from-layer="1810" from-port="0" to-layer="1811" to-port="1" />
-		<edge from-layer="1811" from-port="2" to-layer="1843" to-port="0" />
-		<edge from-layer="1812" from-port="0" to-layer="1821" to-port="0" />
-		<edge from-layer="1813" from-port="5" to-layer="1820" to-port="0" />
-		<edge from-layer="1814" from-port="0" to-layer="1815" to-port="0" />
-		<edge from-layer="1815" from-port="1" to-layer="1817" to-port="0" />
-		<edge from-layer="1816" from-port="0" to-layer="1817" to-port="1" />
-		<edge from-layer="1817" from-port="2" to-layer="1819" to-port="0" />
-		<edge from-layer="1818" from-port="0" to-layer="1819" to-port="1" />
-		<edge from-layer="1819" from-port="2" to-layer="1820" to-port="1" />
-		<edge from-layer="1820" from-port="2" to-layer="1821" to-port="1" />
-		<edge from-layer="1821" from-port="2" to-layer="1824" to-port="0" />
-		<edge from-layer="1822" from-port="0" to-layer="1824" to-port="1" />
-		<edge from-layer="1822" from-port="0" to-layer="1824" to-port="3" />
-		<edge from-layer="1823" from-port="0" to-layer="1824" to-port="2" />
-		<edge from-layer="1823" from-port="0" to-layer="1824" to-port="4" />
-		<edge from-layer="1824" from-port="5" to-layer="1831" to-port="0" />
-		<edge from-layer="1824" from-port="5" to-layer="1825" to-port="0" />
-		<edge from-layer="1824" from-port="5" to-layer="1840" to-port="0" />
-		<edge from-layer="1825" from-port="1" to-layer="1828" to-port="0" />
-		<edge from-layer="1826" from-port="0" to-layer="1828" to-port="1" />
-		<edge from-layer="1827" from-port="0" to-layer="1828" to-port="2" />
-		<edge from-layer="1828" from-port="3" to-layer="1830" to-port="0" />
-		<edge from-layer="1829" from-port="0" to-layer="1830" to-port="1" />
-		<edge from-layer="1830" from-port="2" to-layer="1839" to-port="0" />
-		<edge from-layer="1831" from-port="1" to-layer="1834" to-port="0" />
-		<edge from-layer="1832" from-port="0" to-layer="1834" to-port="1" />
-		<edge from-layer="1833" from-port="0" to-layer="1834" to-port="2" />
-		<edge from-layer="1834" from-port="3" to-layer="1836" to-port="0" />
-		<edge from-layer="1835" from-port="0" to-layer="1836" to-port="1" />
-		<edge from-layer="1836" from-port="2" to-layer="1839" to-port="1" />
-		<edge from-layer="1837" from-port="0" to-layer="1839" to-port="2" />
-		<edge from-layer="1838" from-port="0" to-layer="1839" to-port="3" />
-		<edge from-layer="1839" from-port="4" to-layer="1840" to-port="1" />
-		<edge from-layer="1840" from-port="2" to-layer="1842" to-port="0" />
-		<edge from-layer="1841" from-port="0" to-layer="1842" to-port="1" />
-		<edge from-layer="1842" from-port="2" to-layer="1843" to-port="1" />
-		<edge from-layer="1843" from-port="2" to-layer="1845" to-port="0" />
-		<edge from-layer="1844" from-port="0" to-layer="1845" to-port="1" />
-		<edge from-layer="1845" from-port="2" to-layer="1846" to-port="0" />
-		<edge from-layer="1846" from-port="2" to-layer="1847" to-port="0" />
-		<edge from-layer="1847" from-port="1" to-layer="1876" to-port="0" />
-		<edge from-layer="1848" from-port="0" to-layer="1857" to-port="0" />
-		<edge from-layer="1849" from-port="5" to-layer="1856" to-port="0" />
-		<edge from-layer="1850" from-port="0" to-layer="1851" to-port="0" />
-		<edge from-layer="1851" from-port="1" to-layer="1853" to-port="0" />
-		<edge from-layer="1852" from-port="0" to-layer="1853" to-port="1" />
-		<edge from-layer="1853" from-port="2" to-layer="1855" to-port="0" />
-		<edge from-layer="1854" from-port="0" to-layer="1855" to-port="1" />
-		<edge from-layer="1855" from-port="2" to-layer="1856" to-port="1" />
-		<edge from-layer="1856" from-port="2" to-layer="1857" to-port="1" />
-		<edge from-layer="1857" from-port="2" to-layer="1864" to-port="0" />
-		<edge from-layer="1857" from-port="2" to-layer="1873" to-port="0" />
-		<edge from-layer="1857" from-port="2" to-layer="1858" to-port="0" />
-		<edge from-layer="1858" from-port="1" to-layer="1861" to-port="0" />
-		<edge from-layer="1859" from-port="0" to-layer="1861" to-port="1" />
-		<edge from-layer="1860" from-port="0" to-layer="1861" to-port="2" />
-		<edge from-layer="1861" from-port="3" to-layer="1863" to-port="0" />
-		<edge from-layer="1862" from-port="0" to-layer="1863" to-port="1" />
-		<edge from-layer="1863" from-port="2" to-layer="1872" to-port="0" />
-		<edge from-layer="1864" from-port="1" to-layer="1867" to-port="0" />
-		<edge from-layer="1865" from-port="0" to-layer="1867" to-port="1" />
-		<edge from-layer="1866" from-port="0" to-layer="1867" to-port="2" />
-		<edge from-layer="1867" from-port="3" to-layer="1869" to-port="0" />
-		<edge from-layer="1868" from-port="0" to-layer="1869" to-port="1" />
-		<edge from-layer="1869" from-port="2" to-layer="1872" to-port="1" />
-		<edge from-layer="1870" from-port="0" to-layer="1872" to-port="2" />
-		<edge from-layer="1871" from-port="0" to-layer="1872" to-port="3" />
-		<edge from-layer="1872" from-port="4" to-layer="1873" to-port="1" />
-		<edge from-layer="1873" from-port="2" to-layer="1875" to-port="0" />
-		<edge from-layer="1874" from-port="0" to-layer="1875" to-port="1" />
-		<edge from-layer="1875" from-port="2" to-layer="1876" to-port="1" />
-		<edge from-layer="1876" from-port="2" to-layer="1879" to-port="0" />
-		<edge from-layer="1877" from-port="0" to-layer="1879" to-port="1" />
-		<edge from-layer="1877" from-port="0" to-layer="1879" to-port="3" />
-		<edge from-layer="1878" from-port="0" to-layer="1879" to-port="2" />
-		<edge from-layer="1878" from-port="0" to-layer="1879" to-port="4" />
-		<edge from-layer="1879" from-port="5" to-layer="1881" to-port="0" />
-		<edge from-layer="1880" from-port="0" to-layer="1881" to-port="1" />
-		<edge from-layer="1881" from-port="2" to-layer="1882" to-port="0" />
-		<edge from-layer="1881" from-port="2" to-layer="1896" to-port="0" />
-		<edge from-layer="1881" from-port="2" to-layer="1888" to-port="0" />
-		<edge from-layer="1882" from-port="1" to-layer="1885" to-port="0" />
-		<edge from-layer="1883" from-port="0" to-layer="1885" to-port="1" />
-		<edge from-layer="1884" from-port="0" to-layer="1885" to-port="2" />
-		<edge from-layer="1885" from-port="3" to-layer="1887" to-port="0" />
-		<edge from-layer="1886" from-port="0" to-layer="1887" to-port="1" />
-		<edge from-layer="1887" from-port="2" to-layer="1895" to-port="0" />
-		<edge from-layer="1888" from-port="1" to-layer="1891" to-port="0" />
-		<edge from-layer="1889" from-port="0" to-layer="1891" to-port="1" />
-		<edge from-layer="1890" from-port="0" to-layer="1891" to-port="2" />
-		<edge from-layer="1891" from-port="3" to-layer="1893" to-port="0" />
-		<edge from-layer="1892" from-port="0" to-layer="1893" to-port="1" />
-		<edge from-layer="1893" from-port="2" to-layer="1895" to-port="1" />
-		<edge from-layer="1894" from-port="0" to-layer="1895" to-port="2" />
-		<edge from-layer="1895" from-port="3" to-layer="1896" to-port="1" />
-		<edge from-layer="1896" from-port="2" to-layer="1903" to-port="0" />
-		<edge from-layer="1897" from-port="0" to-layer="1898" to-port="0" />
-		<edge from-layer="1898" from-port="1" to-layer="1900" to-port="0" />
-		<edge from-layer="1899" from-port="0" to-layer="1900" to-port="1" />
-		<edge from-layer="1900" from-port="2" to-layer="1902" to-port="0" />
-		<edge from-layer="1901" from-port="0" to-layer="1902" to-port="1" />
-		<edge from-layer="1902" from-port="2" to-layer="1903" to-port="1" />
-		<edge from-layer="1903" from-port="2" to-layer="1904" to-port="1" />
-		<edge from-layer="1904" from-port="2" to-layer="1905" to-port="0" />
-		<edge from-layer="1905" from-port="2" to-layer="1907" to-port="0" />
-		<edge from-layer="1905" from-port="2" to-layer="1908" to-port="0" />
-		<edge from-layer="1906" from-port="0" to-layer="1907" to-port="1" />
-		<edge from-layer="1907" from-port="2" to-layer="1908" to-port="1" />
-		<edge from-layer="1908" from-port="2" to-layer="1916" to-port="0" />
-		<edge from-layer="1908" from-port="2" to-layer="1910" to-port="0" />
-		<edge from-layer="1909" from-port="0" to-layer="1910" to-port="1" />
-		<edge from-layer="1910" from-port="2" to-layer="1912" to-port="0" />
-		<edge from-layer="1911" from-port="0" to-layer="1912" to-port="1" />
-		<edge from-layer="1912" from-port="2" to-layer="1914" to-port="0" />
-		<edge from-layer="1913" from-port="0" to-layer="1914" to-port="1" />
-		<edge from-layer="1914" from-port="2" to-layer="1915" to-port="0" />
-		<edge from-layer="1915" from-port="1" to-layer="1916" to-port="1" />
-		<edge from-layer="1916" from-port="2" to-layer="1918" to-port="0" />
-		<edge from-layer="1917" from-port="0" to-layer="1918" to-port="1" />
-		<edge from-layer="1918" from-port="2" to-layer="1920" to-port="0" />
-		<edge from-layer="1919" from-port="0" to-layer="1920" to-port="1" />
-		<edge from-layer="1920" from-port="2" to-layer="1951" to-port="1" />
-		<edge from-layer="1920" from-port="2" to-layer="1923" to-port="0" />
-		<edge from-layer="1921" from-port="0" to-layer="1923" to-port="3" />
-		<edge from-layer="1921" from-port="0" to-layer="1923" to-port="1" />
-		<edge from-layer="1922" from-port="0" to-layer="1923" to-port="4" />
-		<edge from-layer="1922" from-port="0" to-layer="1923" to-port="2" />
-		<edge from-layer="1923" from-port="5" to-layer="1930" to-port="0" />
-		<edge from-layer="1924" from-port="0" to-layer="1925" to-port="0" />
-		<edge from-layer="1925" from-port="1" to-layer="1927" to-port="0" />
-		<edge from-layer="1926" from-port="0" to-layer="1927" to-port="1" />
-		<edge from-layer="1927" from-port="2" to-layer="1929" to-port="0" />
-		<edge from-layer="1928" from-port="0" to-layer="1929" to-port="1" />
-		<edge from-layer="1929" from-port="2" to-layer="1930" to-port="1" />
-		<edge from-layer="1930" from-port="2" to-layer="1931" to-port="1" />
-		<edge from-layer="1931" from-port="2" to-layer="1933" to-port="0" />
-		<edge from-layer="1931" from-port="2" to-layer="1937" to-port="0" />
-		<edge from-layer="1932" from-port="0" to-layer="1933" to-port="1" />
-		<edge from-layer="1933" from-port="2" to-layer="1934" to-port="0" />
-		<edge from-layer="1934" from-port="1" to-layer="1936" to-port="0" />
-		<edge from-layer="1935" from-port="0" to-layer="1936" to-port="1" />
-		<edge from-layer="1936" from-port="2" to-layer="1937" to-port="1" />
-		<edge from-layer="1937" from-port="2" to-layer="1939" to-port="0" />
-		<edge from-layer="1938" from-port="0" to-layer="1939" to-port="1" />
-		<edge from-layer="1939" from-port="2" to-layer="1942" to-port="0" />
-		<edge from-layer="1940" from-port="0" to-layer="1942" to-port="3" />
-		<edge from-layer="1940" from-port="0" to-layer="1942" to-port="1" />
-		<edge from-layer="1941" from-port="0" to-layer="1942" to-port="4" />
-		<edge from-layer="1941" from-port="0" to-layer="1942" to-port="2" />
-		<edge from-layer="1942" from-port="5" to-layer="1949" to-port="0" />
-		<edge from-layer="1943" from-port="0" to-layer="1944" to-port="0" />
-		<edge from-layer="1944" from-port="1" to-layer="1946" to-port="0" />
-		<edge from-layer="1945" from-port="0" to-layer="1946" to-port="1" />
-		<edge from-layer="1946" from-port="2" to-layer="1948" to-port="0" />
-		<edge from-layer="1947" from-port="0" to-layer="1948" to-port="1" />
-		<edge from-layer="1948" from-port="2" to-layer="1949" to-port="1" />
-		<edge from-layer="1949" from-port="2" to-layer="1950" to-port="1" />
-		<edge from-layer="1950" from-port="2" to-layer="1951" to-port="0" />
-		<edge from-layer="1951" from-port="2" to-layer="1954" to-port="0" />
-		<edge from-layer="1951" from-port="2" to-layer="1953" to-port="0" />
-		<edge from-layer="1952" from-port="0" to-layer="1953" to-port="1" />
-		<edge from-layer="1953" from-port="2" to-layer="1954" to-port="1" />
-		<edge from-layer="1954" from-port="2" to-layer="1956" to-port="0" />
-		<edge from-layer="1954" from-port="2" to-layer="1962" to-port="0" />
-		<edge from-layer="1955" from-port="0" to-layer="1956" to-port="1" />
-		<edge from-layer="1956" from-port="2" to-layer="1958" to-port="0" />
-		<edge from-layer="1957" from-port="0" to-layer="1958" to-port="1" />
-		<edge from-layer="1958" from-port="2" to-layer="1960" to-port="0" />
-		<edge from-layer="1959" from-port="0" to-layer="1960" to-port="1" />
-		<edge from-layer="1960" from-port="2" to-layer="1961" to-port="0" />
-		<edge from-layer="1961" from-port="1" to-layer="1962" to-port="1" />
-		<edge from-layer="1962" from-port="2" to-layer="1964" to-port="0" />
-		<edge from-layer="1963" from-port="0" to-layer="1964" to-port="1" />
-		<edge from-layer="1964" from-port="2" to-layer="1966" to-port="0" />
-		<edge from-layer="1965" from-port="0" to-layer="1966" to-port="1" />
-		<edge from-layer="1966" from-port="2" to-layer="2092" to-port="1" />
-		<edge from-layer="1966" from-port="2" to-layer="2000" to-port="0" />
-		<edge from-layer="1966" from-port="2" to-layer="2036" to-port="0" />
-		<edge from-layer="1966" from-port="2" to-layer="1969" to-port="0" />
-		<edge from-layer="1967" from-port="0" to-layer="2036" to-port="3" />
-		<edge from-layer="1967" from-port="0" to-layer="2000" to-port="1" />
-		<edge from-layer="1967" from-port="0" to-layer="1969" to-port="1" />
-		<edge from-layer="1967" from-port="0" to-layer="1969" to-port="3" />
-		<edge from-layer="1967" from-port="0" to-layer="2000" to-port="3" />
-		<edge from-layer="1967" from-port="0" to-layer="2036" to-port="1" />
-		<edge from-layer="1968" from-port="0" to-layer="2000" to-port="4" />
-		<edge from-layer="1968" from-port="0" to-layer="2036" to-port="2" />
-		<edge from-layer="1968" from-port="0" to-layer="2000" to-port="2" />
-		<edge from-layer="1968" from-port="0" to-layer="1969" to-port="4" />
-		<edge from-layer="1968" from-port="0" to-layer="1969" to-port="2" />
-		<edge from-layer="1968" from-port="0" to-layer="2036" to-port="4" />
-		<edge from-layer="1969" from-port="5" to-layer="1976" to-port="0" />
-		<edge from-layer="1970" from-port="0" to-layer="1971" to-port="0" />
-		<edge from-layer="1971" from-port="1" to-layer="1973" to-port="0" />
-		<edge from-layer="1972" from-port="0" to-layer="1973" to-port="1" />
-		<edge from-layer="1973" from-port="2" to-layer="1975" to-port="0" />
-		<edge from-layer="1974" from-port="0" to-layer="1975" to-port="1" />
-		<edge from-layer="1975" from-port="2" to-layer="1976" to-port="1" />
-		<edge from-layer="1976" from-port="2" to-layer="1977" to-port="1" />
-		<edge from-layer="1977" from-port="2" to-layer="1980" to-port="0" />
-		<edge from-layer="1978" from-port="0" to-layer="1980" to-port="3" />
-		<edge from-layer="1978" from-port="0" to-layer="1980" to-port="1" />
-		<edge from-layer="1979" from-port="0" to-layer="1980" to-port="4" />
-		<edge from-layer="1979" from-port="0" to-layer="1980" to-port="2" />
-		<edge from-layer="1980" from-port="5" to-layer="1996" to-port="0" />
-		<edge from-layer="1980" from-port="5" to-layer="1987" to-port="0" />
-		<edge from-layer="1980" from-port="5" to-layer="1981" to-port="0" />
-		<edge from-layer="1981" from-port="1" to-layer="1984" to-port="0" />
-		<edge from-layer="1982" from-port="0" to-layer="1984" to-port="1" />
-		<edge from-layer="1983" from-port="0" to-layer="1984" to-port="2" />
-		<edge from-layer="1984" from-port="3" to-layer="1986" to-port="0" />
-		<edge from-layer="1985" from-port="0" to-layer="1986" to-port="1" />
-		<edge from-layer="1986" from-port="2" to-layer="1995" to-port="0" />
-		<edge from-layer="1987" from-port="1" to-layer="1990" to-port="0" />
-		<edge from-layer="1988" from-port="0" to-layer="1990" to-port="1" />
-		<edge from-layer="1989" from-port="0" to-layer="1990" to-port="2" />
-		<edge from-layer="1990" from-port="3" to-layer="1992" to-port="0" />
-		<edge from-layer="1991" from-port="0" to-layer="1992" to-port="1" />
-		<edge from-layer="1992" from-port="2" to-layer="1995" to-port="1" />
-		<edge from-layer="1993" from-port="0" to-layer="1995" to-port="2" />
-		<edge from-layer="1994" from-port="0" to-layer="1995" to-port="3" />
-		<edge from-layer="1995" from-port="4" to-layer="1996" to-port="1" />
-		<edge from-layer="1996" from-port="2" to-layer="1998" to-port="0" />
-		<edge from-layer="1997" from-port="0" to-layer="1998" to-port="1" />
-		<edge from-layer="1998" from-port="2" to-layer="2030" to-port="0" />
-		<edge from-layer="1999" from-port="0" to-layer="2008" to-port="0" />
-		<edge from-layer="2000" from-port="5" to-layer="2007" to-port="0" />
-		<edge from-layer="2001" from-port="0" to-layer="2002" to-port="0" />
-		<edge from-layer="2002" from-port="1" to-layer="2004" to-port="0" />
-		<edge from-layer="2003" from-port="0" to-layer="2004" to-port="1" />
-		<edge from-layer="2004" from-port="2" to-layer="2006" to-port="0" />
-		<edge from-layer="2005" from-port="0" to-layer="2006" to-port="1" />
-		<edge from-layer="2006" from-port="2" to-layer="2007" to-port="1" />
-		<edge from-layer="2007" from-port="2" to-layer="2008" to-port="1" />
-		<edge from-layer="2008" from-port="2" to-layer="2011" to-port="0" />
-		<edge from-layer="2009" from-port="0" to-layer="2011" to-port="3" />
-		<edge from-layer="2009" from-port="0" to-layer="2011" to-port="1" />
-		<edge from-layer="2010" from-port="0" to-layer="2011" to-port="4" />
-		<edge from-layer="2010" from-port="0" to-layer="2011" to-port="2" />
-		<edge from-layer="2011" from-port="5" to-layer="2012" to-port="0" />
-		<edge from-layer="2011" from-port="5" to-layer="2027" to-port="0" />
-		<edge from-layer="2011" from-port="5" to-layer="2018" to-port="0" />
-		<edge from-layer="2012" from-port="1" to-layer="2015" to-port="0" />
-		<edge from-layer="2013" from-port="0" to-layer="2015" to-port="1" />
-		<edge from-layer="2014" from-port="0" to-layer="2015" to-port="2" />
-		<edge from-layer="2015" from-port="3" to-layer="2017" to-port="0" />
-		<edge from-layer="2016" from-port="0" to-layer="2017" to-port="1" />
-		<edge from-layer="2017" from-port="2" to-layer="2026" to-port="0" />
-		<edge from-layer="2018" from-port="1" to-layer="2021" to-port="0" />
-		<edge from-layer="2019" from-port="0" to-layer="2021" to-port="1" />
-		<edge from-layer="2020" from-port="0" to-layer="2021" to-port="2" />
-		<edge from-layer="2021" from-port="3" to-layer="2023" to-port="0" />
-		<edge from-layer="2022" from-port="0" to-layer="2023" to-port="1" />
-		<edge from-layer="2023" from-port="2" to-layer="2026" to-port="1" />
-		<edge from-layer="2024" from-port="0" to-layer="2026" to-port="2" />
-		<edge from-layer="2025" from-port="0" to-layer="2026" to-port="3" />
-		<edge from-layer="2026" from-port="4" to-layer="2027" to-port="1" />
-		<edge from-layer="2027" from-port="2" to-layer="2029" to-port="0" />
-		<edge from-layer="2028" from-port="0" to-layer="2029" to-port="1" />
-		<edge from-layer="2029" from-port="2" to-layer="2030" to-port="1" />
-		<edge from-layer="2030" from-port="2" to-layer="2032" to-port="0" />
-		<edge from-layer="2031" from-port="0" to-layer="2032" to-port="1" />
-		<edge from-layer="2032" from-port="2" to-layer="2033" to-port="0" />
-		<edge from-layer="2033" from-port="2" to-layer="2034" to-port="0" />
-		<edge from-layer="2034" from-port="1" to-layer="2063" to-port="0" />
-		<edge from-layer="2035" from-port="0" to-layer="2044" to-port="0" />
-		<edge from-layer="2036" from-port="5" to-layer="2043" to-port="0" />
-		<edge from-layer="2037" from-port="0" to-layer="2038" to-port="0" />
-		<edge from-layer="2038" from-port="1" to-layer="2040" to-port="0" />
-		<edge from-layer="2039" from-port="0" to-layer="2040" to-port="1" />
-		<edge from-layer="2040" from-port="2" to-layer="2042" to-port="0" />
-		<edge from-layer="2041" from-port="0" to-layer="2042" to-port="1" />
-		<edge from-layer="2042" from-port="2" to-layer="2043" to-port="1" />
-		<edge from-layer="2043" from-port="2" to-layer="2044" to-port="1" />
-		<edge from-layer="2044" from-port="2" to-layer="2051" to-port="0" />
-		<edge from-layer="2044" from-port="2" to-layer="2060" to-port="0" />
-		<edge from-layer="2044" from-port="2" to-layer="2045" to-port="0" />
-		<edge from-layer="2045" from-port="1" to-layer="2048" to-port="0" />
-		<edge from-layer="2046" from-port="0" to-layer="2048" to-port="1" />
-		<edge from-layer="2047" from-port="0" to-layer="2048" to-port="2" />
-		<edge from-layer="2048" from-port="3" to-layer="2050" to-port="0" />
-		<edge from-layer="2049" from-port="0" to-layer="2050" to-port="1" />
-		<edge from-layer="2050" from-port="2" to-layer="2059" to-port="0" />
-		<edge from-layer="2051" from-port="1" to-layer="2054" to-port="0" />
-		<edge from-layer="2052" from-port="0" to-layer="2054" to-port="1" />
-		<edge from-layer="2053" from-port="0" to-layer="2054" to-port="2" />
-		<edge from-layer="2054" from-port="3" to-layer="2056" to-port="0" />
-		<edge from-layer="2055" from-port="0" to-layer="2056" to-port="1" />
-		<edge from-layer="2056" from-port="2" to-layer="2059" to-port="1" />
-		<edge from-layer="2057" from-port="0" to-layer="2059" to-port="2" />
-		<edge from-layer="2058" from-port="0" to-layer="2059" to-port="3" />
-		<edge from-layer="2059" from-port="4" to-layer="2060" to-port="1" />
-		<edge from-layer="2060" from-port="2" to-layer="2062" to-port="0" />
-		<edge from-layer="2061" from-port="0" to-layer="2062" to-port="1" />
-		<edge from-layer="2062" from-port="2" to-layer="2063" to-port="1" />
-		<edge from-layer="2063" from-port="2" to-layer="2066" to-port="0" />
-		<edge from-layer="2064" from-port="0" to-layer="2066" to-port="1" />
-		<edge from-layer="2064" from-port="0" to-layer="2066" to-port="3" />
-		<edge from-layer="2065" from-port="0" to-layer="2066" to-port="4" />
-		<edge from-layer="2065" from-port="0" to-layer="2066" to-port="2" />
-		<edge from-layer="2066" from-port="5" to-layer="2068" to-port="0" />
-		<edge from-layer="2067" from-port="0" to-layer="2068" to-port="1" />
-		<edge from-layer="2068" from-port="2" to-layer="2069" to-port="0" />
-		<edge from-layer="2068" from-port="2" to-layer="2083" to-port="0" />
-		<edge from-layer="2068" from-port="2" to-layer="2075" to-port="0" />
-		<edge from-layer="2069" from-port="1" to-layer="2072" to-port="0" />
-		<edge from-layer="2070" from-port="0" to-layer="2072" to-port="1" />
-		<edge from-layer="2071" from-port="0" to-layer="2072" to-port="2" />
-		<edge from-layer="2072" from-port="3" to-layer="2074" to-port="0" />
-		<edge from-layer="2073" from-port="0" to-layer="2074" to-port="1" />
-		<edge from-layer="2074" from-port="2" to-layer="2082" to-port="0" />
-		<edge from-layer="2075" from-port="1" to-layer="2078" to-port="0" />
-		<edge from-layer="2076" from-port="0" to-layer="2078" to-port="1" />
-		<edge from-layer="2077" from-port="0" to-layer="2078" to-port="2" />
-		<edge from-layer="2078" from-port="3" to-layer="2080" to-port="0" />
-		<edge from-layer="2079" from-port="0" to-layer="2080" to-port="1" />
-		<edge from-layer="2080" from-port="2" to-layer="2082" to-port="1" />
-		<edge from-layer="2081" from-port="0" to-layer="2082" to-port="2" />
-		<edge from-layer="2082" from-port="3" to-layer="2083" to-port="1" />
-		<edge from-layer="2083" from-port="2" to-layer="2090" to-port="0" />
-		<edge from-layer="2084" from-port="0" to-layer="2085" to-port="0" />
-		<edge from-layer="2085" from-port="1" to-layer="2087" to-port="0" />
-		<edge from-layer="2086" from-port="0" to-layer="2087" to-port="1" />
-		<edge from-layer="2087" from-port="2" to-layer="2089" to-port="0" />
-		<edge from-layer="2088" from-port="0" to-layer="2089" to-port="1" />
-		<edge from-layer="2089" from-port="2" to-layer="2090" to-port="1" />
-		<edge from-layer="2090" from-port="2" to-layer="2091" to-port="1" />
-		<edge from-layer="2091" from-port="2" to-layer="2092" to-port="0" />
-		<edge from-layer="2092" from-port="2" to-layer="2095" to-port="0" />
-		<edge from-layer="2092" from-port="2" to-layer="2094" to-port="0" />
-		<edge from-layer="2093" from-port="0" to-layer="2094" to-port="1" />
-		<edge from-layer="2094" from-port="2" to-layer="2095" to-port="1" />
-		<edge from-layer="2095" from-port="2" to-layer="2103" to-port="0" />
-		<edge from-layer="2095" from-port="2" to-layer="2097" to-port="0" />
-		<edge from-layer="2096" from-port="0" to-layer="2097" to-port="1" />
-		<edge from-layer="2097" from-port="2" to-layer="2099" to-port="0" />
-		<edge from-layer="2098" from-port="0" to-layer="2099" to-port="1" />
-		<edge from-layer="2099" from-port="2" to-layer="2101" to-port="0" />
-		<edge from-layer="2100" from-port="0" to-layer="2101" to-port="1" />
-		<edge from-layer="2101" from-port="2" to-layer="2102" to-port="0" />
-		<edge from-layer="2102" from-port="1" to-layer="2103" to-port="1" />
-		<edge from-layer="2103" from-port="2" to-layer="2105" to-port="0" />
-		<edge from-layer="2104" from-port="0" to-layer="2105" to-port="1" />
-		<edge from-layer="2105" from-port="2" to-layer="2107" to-port="0" />
-		<edge from-layer="2106" from-port="0" to-layer="2107" to-port="1" />
-		<edge from-layer="2107" from-port="2" to-layer="2110" to-port="0" />
-		<edge from-layer="2107" from-port="2" to-layer="2137" to-port="1" />
-		<edge from-layer="2108" from-port="0" to-layer="2110" to-port="3" />
-		<edge from-layer="2108" from-port="0" to-layer="2110" to-port="1" />
-		<edge from-layer="2109" from-port="0" to-layer="2110" to-port="2" />
-		<edge from-layer="2109" from-port="0" to-layer="2110" to-port="4" />
-		<edge from-layer="2110" from-port="5" to-layer="2117" to-port="0" />
-		<edge from-layer="2111" from-port="0" to-layer="2112" to-port="0" />
-		<edge from-layer="2112" from-port="1" to-layer="2114" to-port="0" />
-		<edge from-layer="2113" from-port="0" to-layer="2114" to-port="1" />
-		<edge from-layer="2114" from-port="2" to-layer="2116" to-port="0" />
-		<edge from-layer="2115" from-port="0" to-layer="2116" to-port="1" />
-		<edge from-layer="2116" from-port="2" to-layer="2117" to-port="1" />
-		<edge from-layer="2117" from-port="2" to-layer="2118" to-port="1" />
-		<edge from-layer="2118" from-port="2" to-layer="2120" to-port="0" />
-		<edge from-layer="2118" from-port="2" to-layer="2124" to-port="0" />
-		<edge from-layer="2119" from-port="0" to-layer="2120" to-port="1" />
-		<edge from-layer="2120" from-port="2" to-layer="2121" to-port="0" />
-		<edge from-layer="2121" from-port="1" to-layer="2123" to-port="0" />
-		<edge from-layer="2122" from-port="0" to-layer="2123" to-port="1" />
-		<edge from-layer="2123" from-port="2" to-layer="2124" to-port="1" />
-		<edge from-layer="2124" from-port="2" to-layer="2126" to-port="0" />
-		<edge from-layer="2125" from-port="0" to-layer="2126" to-port="1" />
-		<edge from-layer="2126" from-port="2" to-layer="2128" to-port="0" />
-		<edge from-layer="2127" from-port="0" to-layer="2128" to-port="4" />
-		<edge from-layer="2127" from-port="0" to-layer="2128" to-port="2" />
-		<edge from-layer="2128" from-port="5" to-layer="2135" to-port="0" />
-		<edge from-layer="2129" from-port="0" to-layer="2130" to-port="0" />
-		<edge from-layer="2130" from-port="1" to-layer="2132" to-port="0" />
-		<edge from-layer="2131" from-port="0" to-layer="2132" to-port="1" />
-		<edge from-layer="2132" from-port="2" to-layer="2134" to-port="0" />
-		<edge from-layer="2133" from-port="0" to-layer="2134" to-port="1" />
-		<edge from-layer="2134" from-port="2" to-layer="2135" to-port="1" />
-		<edge from-layer="2135" from-port="2" to-layer="2136" to-port="1" />
-		<edge from-layer="2136" from-port="2" to-layer="2137" to-port="0" />
-		<edge from-layer="2137" from-port="2" to-layer="2139" to-port="0" />
-		<edge from-layer="2137" from-port="2" to-layer="2140" to-port="0" />
-		<edge from-layer="2138" from-port="0" to-layer="2139" to-port="1" />
-		<edge from-layer="2139" from-port="2" to-layer="2140" to-port="1" />
-		<edge from-layer="2140" from-port="2" to-layer="2148" to-port="0" />
-		<edge from-layer="2140" from-port="2" to-layer="2142" to-port="0" />
-		<edge from-layer="2141" from-port="0" to-layer="2142" to-port="1" />
-		<edge from-layer="2142" from-port="2" to-layer="2144" to-port="0" />
-		<edge from-layer="2143" from-port="0" to-layer="2144" to-port="1" />
-		<edge from-layer="2144" from-port="2" to-layer="2146" to-port="0" />
-		<edge from-layer="2145" from-port="0" to-layer="2146" to-port="1" />
-		<edge from-layer="2146" from-port="2" to-layer="2147" to-port="0" />
-		<edge from-layer="2147" from-port="1" to-layer="2148" to-port="1" />
-		<edge from-layer="2148" from-port="2" to-layer="2150" to-port="0" />
-		<edge from-layer="2149" from-port="0" to-layer="2150" to-port="1" />
-		<edge from-layer="2150" from-port="2" to-layer="2152" to-port="0" />
-		<edge from-layer="2151" from-port="0" to-layer="2152" to-port="1" />
-		<edge from-layer="2152" from-port="2" to-layer="2186" to-port="0" />
-		<edge from-layer="2152" from-port="2" to-layer="2222" to-port="0" />
-		<edge from-layer="2152" from-port="2" to-layer="2278" to-port="1" />
-		<edge from-layer="2152" from-port="2" to-layer="2155" to-port="0" />
-		<edge from-layer="2153" from-port="0" to-layer="2186" to-port="1" />
-		<edge from-layer="2153" from-port="0" to-layer="2222" to-port="1" />
-		<edge from-layer="2153" from-port="0" to-layer="2155" to-port="3" />
-		<edge from-layer="2153" from-port="0" to-layer="2222" to-port="3" />
-		<edge from-layer="2153" from-port="0" to-layer="2155" to-port="1" />
-		<edge from-layer="2153" from-port="0" to-layer="2186" to-port="3" />
-		<edge from-layer="2154" from-port="0" to-layer="2155" to-port="4" />
-		<edge from-layer="2154" from-port="0" to-layer="2186" to-port="4" />
-		<edge from-layer="2154" from-port="0" to-layer="2155" to-port="2" />
-		<edge from-layer="2154" from-port="0" to-layer="2222" to-port="4" />
-		<edge from-layer="2154" from-port="0" to-layer="2222" to-port="2" />
-		<edge from-layer="2154" from-port="0" to-layer="2186" to-port="2" />
-		<edge from-layer="2155" from-port="5" to-layer="2162" to-port="0" />
-		<edge from-layer="2156" from-port="0" to-layer="2157" to-port="0" />
-		<edge from-layer="2157" from-port="1" to-layer="2159" to-port="0" />
-		<edge from-layer="2158" from-port="0" to-layer="2159" to-port="1" />
-		<edge from-layer="2159" from-port="2" to-layer="2161" to-port="0" />
-		<edge from-layer="2160" from-port="0" to-layer="2161" to-port="1" />
-		<edge from-layer="2161" from-port="2" to-layer="2162" to-port="1" />
-		<edge from-layer="2162" from-port="2" to-layer="2163" to-port="1" />
-		<edge from-layer="2163" from-port="2" to-layer="2166" to-port="0" />
-		<edge from-layer="2164" from-port="0" to-layer="2166" to-port="3" />
-		<edge from-layer="2164" from-port="0" to-layer="2166" to-port="1" />
-		<edge from-layer="2165" from-port="0" to-layer="2166" to-port="4" />
-		<edge from-layer="2165" from-port="0" to-layer="2166" to-port="2" />
-		<edge from-layer="2166" from-port="5" to-layer="2173" to-port="0" />
-		<edge from-layer="2166" from-port="5" to-layer="2167" to-port="0" />
-		<edge from-layer="2166" from-port="5" to-layer="2182" to-port="0" />
-		<edge from-layer="2167" from-port="1" to-layer="2170" to-port="0" />
-		<edge from-layer="2168" from-port="0" to-layer="2170" to-port="1" />
-		<edge from-layer="2169" from-port="0" to-layer="2170" to-port="2" />
-		<edge from-layer="2170" from-port="3" to-layer="2172" to-port="0" />
-		<edge from-layer="2171" from-port="0" to-layer="2172" to-port="1" />
-		<edge from-layer="2172" from-port="2" to-layer="2181" to-port="0" />
-		<edge from-layer="2173" from-port="1" to-layer="2176" to-port="0" />
-		<edge from-layer="2174" from-port="0" to-layer="2176" to-port="1" />
-		<edge from-layer="2175" from-port="0" to-layer="2176" to-port="2" />
-		<edge from-layer="2176" from-port="3" to-layer="2178" to-port="0" />
-		<edge from-layer="2177" from-port="0" to-layer="2178" to-port="1" />
-		<edge from-layer="2178" from-port="2" to-layer="2181" to-port="1" />
-		<edge from-layer="2179" from-port="0" to-layer="2181" to-port="2" />
-		<edge from-layer="2180" from-port="0" to-layer="2181" to-port="3" />
-		<edge from-layer="2181" from-port="4" to-layer="2182" to-port="1" />
-		<edge from-layer="2182" from-port="2" to-layer="2184" to-port="0" />
-		<edge from-layer="2183" from-port="0" to-layer="2184" to-port="1" />
-		<edge from-layer="2184" from-port="2" to-layer="2216" to-port="0" />
-		<edge from-layer="2185" from-port="0" to-layer="2194" to-port="0" />
-		<edge from-layer="2186" from-port="5" to-layer="2193" to-port="0" />
-		<edge from-layer="2187" from-port="0" to-layer="2188" to-port="0" />
-		<edge from-layer="2188" from-port="1" to-layer="2190" to-port="0" />
-		<edge from-layer="2189" from-port="0" to-layer="2190" to-port="1" />
-		<edge from-layer="2190" from-port="2" to-layer="2192" to-port="0" />
-		<edge from-layer="2191" from-port="0" to-layer="2192" to-port="1" />
-		<edge from-layer="2192" from-port="2" to-layer="2193" to-port="1" />
-		<edge from-layer="2193" from-port="2" to-layer="2194" to-port="1" />
-		<edge from-layer="2194" from-port="2" to-layer="2197" to-port="0" />
-		<edge from-layer="2195" from-port="0" to-layer="2197" to-port="1" />
-		<edge from-layer="2195" from-port="0" to-layer="2197" to-port="3" />
-		<edge from-layer="2196" from-port="0" to-layer="2197" to-port="2" />
-		<edge from-layer="2196" from-port="0" to-layer="2197" to-port="4" />
-		<edge from-layer="2197" from-port="5" to-layer="2204" to-port="0" />
-		<edge from-layer="2197" from-port="5" to-layer="2198" to-port="0" />
-		<edge from-layer="2197" from-port="5" to-layer="2213" to-port="0" />
-		<edge from-layer="2198" from-port="1" to-layer="2201" to-port="0" />
-		<edge from-layer="2199" from-port="0" to-layer="2201" to-port="1" />
-		<edge from-layer="2200" from-port="0" to-layer="2201" to-port="2" />
-		<edge from-layer="2201" from-port="3" to-layer="2203" to-port="0" />
-		<edge from-layer="2202" from-port="0" to-layer="2203" to-port="1" />
-		<edge from-layer="2203" from-port="2" to-layer="2212" to-port="0" />
-		<edge from-layer="2204" from-port="1" to-layer="2207" to-port="0" />
-		<edge from-layer="2205" from-port="0" to-layer="2207" to-port="1" />
-		<edge from-layer="2206" from-port="0" to-layer="2207" to-port="2" />
-		<edge from-layer="2207" from-port="3" to-layer="2209" to-port="0" />
-		<edge from-layer="2208" from-port="0" to-layer="2209" to-port="1" />
-		<edge from-layer="2209" from-port="2" to-layer="2212" to-port="1" />
-		<edge from-layer="2210" from-port="0" to-layer="2212" to-port="2" />
-		<edge from-layer="2211" from-port="0" to-layer="2212" to-port="3" />
-		<edge from-layer="2212" from-port="4" to-layer="2213" to-port="1" />
-		<edge from-layer="2213" from-port="2" to-layer="2215" to-port="0" />
-		<edge from-layer="2214" from-port="0" to-layer="2215" to-port="1" />
-		<edge from-layer="2215" from-port="2" to-layer="2216" to-port="1" />
-		<edge from-layer="2216" from-port="2" to-layer="2218" to-port="0" />
-		<edge from-layer="2217" from-port="0" to-layer="2218" to-port="1" />
-		<edge from-layer="2218" from-port="2" to-layer="2219" to-port="0" />
-		<edge from-layer="2219" from-port="2" to-layer="2220" to-port="0" />
-		<edge from-layer="2220" from-port="1" to-layer="2249" to-port="0" />
-		<edge from-layer="2221" from-port="0" to-layer="2230" to-port="0" />
-		<edge from-layer="2222" from-port="5" to-layer="2229" to-port="0" />
-		<edge from-layer="2223" from-port="0" to-layer="2224" to-port="0" />
-		<edge from-layer="2224" from-port="1" to-layer="2226" to-port="0" />
-		<edge from-layer="2225" from-port="0" to-layer="2226" to-port="1" />
-		<edge from-layer="2226" from-port="2" to-layer="2228" to-port="0" />
-		<edge from-layer="2227" from-port="0" to-layer="2228" to-port="1" />
-		<edge from-layer="2228" from-port="2" to-layer="2229" to-port="1" />
-		<edge from-layer="2229" from-port="2" to-layer="2230" to-port="1" />
-		<edge from-layer="2230" from-port="2" to-layer="2246" to-port="0" />
-		<edge from-layer="2230" from-port="2" to-layer="2237" to-port="0" />
-		<edge from-layer="2230" from-port="2" to-layer="2231" to-port="0" />
-		<edge from-layer="2231" from-port="1" to-layer="2234" to-port="0" />
-		<edge from-layer="2232" from-port="0" to-layer="2234" to-port="1" />
-		<edge from-layer="2233" from-port="0" to-layer="2234" to-port="2" />
-		<edge from-layer="2234" from-port="3" to-layer="2236" to-port="0" />
-		<edge from-layer="2235" from-port="0" to-layer="2236" to-port="1" />
-		<edge from-layer="2236" from-port="2" to-layer="2245" to-port="0" />
-		<edge from-layer="2237" from-port="1" to-layer="2240" to-port="0" />
-		<edge from-layer="2238" from-port="0" to-layer="2240" to-port="1" />
-		<edge from-layer="2239" from-port="0" to-layer="2240" to-port="2" />
-		<edge from-layer="2240" from-port="3" to-layer="2242" to-port="0" />
-		<edge from-layer="2241" from-port="0" to-layer="2242" to-port="1" />
-		<edge from-layer="2242" from-port="2" to-layer="2245" to-port="1" />
-		<edge from-layer="2243" from-port="0" to-layer="2245" to-port="2" />
-		<edge from-layer="2244" from-port="0" to-layer="2245" to-port="3" />
-		<edge from-layer="2245" from-port="4" to-layer="2246" to-port="1" />
-		<edge from-layer="2246" from-port="2" to-layer="2248" to-port="0" />
-		<edge from-layer="2247" from-port="0" to-layer="2248" to-port="1" />
-		<edge from-layer="2248" from-port="2" to-layer="2249" to-port="1" />
-		<edge from-layer="2249" from-port="2" to-layer="2252" to-port="0" />
-		<edge from-layer="2250" from-port="0" to-layer="2252" to-port="3" />
-		<edge from-layer="2250" from-port="0" to-layer="2252" to-port="1" />
-		<edge from-layer="2251" from-port="0" to-layer="2252" to-port="2" />
-		<edge from-layer="2251" from-port="0" to-layer="2252" to-port="4" />
-		<edge from-layer="2252" from-port="5" to-layer="2254" to-port="0" />
-		<edge from-layer="2253" from-port="0" to-layer="2254" to-port="1" />
-		<edge from-layer="2254" from-port="2" to-layer="2255" to-port="0" />
-		<edge from-layer="2254" from-port="2" to-layer="2261" to-port="0" />
-		<edge from-layer="2254" from-port="2" to-layer="2269" to-port="0" />
-		<edge from-layer="2255" from-port="1" to-layer="2258" to-port="0" />
-		<edge from-layer="2256" from-port="0" to-layer="2258" to-port="1" />
-		<edge from-layer="2257" from-port="0" to-layer="2258" to-port="2" />
-		<edge from-layer="2258" from-port="3" to-layer="2260" to-port="0" />
-		<edge from-layer="2259" from-port="0" to-layer="2260" to-port="1" />
-		<edge from-layer="2260" from-port="2" to-layer="2268" to-port="0" />
-		<edge from-layer="2261" from-port="1" to-layer="2264" to-port="0" />
-		<edge from-layer="2262" from-port="0" to-layer="2264" to-port="1" />
-		<edge from-layer="2263" from-port="0" to-layer="2264" to-port="2" />
-		<edge from-layer="2264" from-port="3" to-layer="2266" to-port="0" />
-		<edge from-layer="2265" from-port="0" to-layer="2266" to-port="1" />
-		<edge from-layer="2266" from-port="2" to-layer="2268" to-port="1" />
-		<edge from-layer="2267" from-port="0" to-layer="2268" to-port="2" />
-		<edge from-layer="2268" from-port="3" to-layer="2269" to-port="1" />
-		<edge from-layer="2269" from-port="2" to-layer="2276" to-port="0" />
-		<edge from-layer="2270" from-port="0" to-layer="2271" to-port="0" />
-		<edge from-layer="2271" from-port="1" to-layer="2273" to-port="0" />
-		<edge from-layer="2272" from-port="0" to-layer="2273" to-port="1" />
-		<edge from-layer="2273" from-port="2" to-layer="2275" to-port="0" />
-		<edge from-layer="2274" from-port="0" to-layer="2275" to-port="1" />
-		<edge from-layer="2275" from-port="2" to-layer="2276" to-port="1" />
-		<edge from-layer="2276" from-port="2" to-layer="2277" to-port="1" />
-		<edge from-layer="2277" from-port="2" to-layer="2278" to-port="0" />
-		<edge from-layer="2278" from-port="2" to-layer="2280" to-port="0" />
-		<edge from-layer="2278" from-port="2" to-layer="2281" to-port="0" />
-		<edge from-layer="2279" from-port="0" to-layer="2280" to-port="1" />
-		<edge from-layer="2280" from-port="2" to-layer="2281" to-port="1" />
-		<edge from-layer="2281" from-port="2" to-layer="2283" to-port="0" />
-		<edge from-layer="2281" from-port="2" to-layer="2289" to-port="0" />
-		<edge from-layer="2282" from-port="0" to-layer="2283" to-port="1" />
-		<edge from-layer="2283" from-port="2" to-layer="2285" to-port="0" />
-		<edge from-layer="2284" from-port="0" to-layer="2285" to-port="1" />
-		<edge from-layer="2285" from-port="2" to-layer="2287" to-port="0" />
-		<edge from-layer="2286" from-port="0" to-layer="2287" to-port="1" />
-		<edge from-layer="2287" from-port="2" to-layer="2288" to-port="0" />
-		<edge from-layer="2288" from-port="1" to-layer="2289" to-port="1" />
-		<edge from-layer="2289" from-port="2" to-layer="2291" to-port="0" />
-		<edge from-layer="2290" from-port="0" to-layer="2291" to-port="1" />
-		<edge from-layer="2291" from-port="2" to-layer="2293" to-port="0" />
-		<edge from-layer="2292" from-port="0" to-layer="2293" to-port="1" />
-		<edge from-layer="2293" from-port="2" to-layer="2296" to-port="0" />
-		<edge from-layer="2293" from-port="2" to-layer="2324" to-port="1" />
-		<edge from-layer="2294" from-port="0" to-layer="2296" to-port="1" />
-		<edge from-layer="2294" from-port="0" to-layer="2296" to-port="3" />
-		<edge from-layer="2295" from-port="0" to-layer="2296" to-port="4" />
-		<edge from-layer="2295" from-port="0" to-layer="2296" to-port="2" />
-		<edge from-layer="2296" from-port="5" to-layer="2303" to-port="0" />
-		<edge from-layer="2297" from-port="0" to-layer="2298" to-port="0" />
-		<edge from-layer="2298" from-port="1" to-layer="2300" to-port="0" />
-		<edge from-layer="2299" from-port="0" to-layer="2300" to-port="1" />
-		<edge from-layer="2300" from-port="2" to-layer="2302" to-port="0" />
-		<edge from-layer="2301" from-port="0" to-layer="2302" to-port="1" />
-		<edge from-layer="2302" from-port="2" to-layer="2303" to-port="1" />
-		<edge from-layer="2303" from-port="2" to-layer="2304" to-port="1" />
-		<edge from-layer="2304" from-port="2" to-layer="2310" to-port="0" />
-		<edge from-layer="2304" from-port="2" to-layer="2306" to-port="0" />
-		<edge from-layer="2305" from-port="0" to-layer="2306" to-port="1" />
-		<edge from-layer="2306" from-port="2" to-layer="2307" to-port="0" />
-		<edge from-layer="2307" from-port="1" to-layer="2309" to-port="0" />
-		<edge from-layer="2308" from-port="0" to-layer="2309" to-port="1" />
-		<edge from-layer="2309" from-port="2" to-layer="2310" to-port="1" />
-		<edge from-layer="2310" from-port="2" to-layer="2312" to-port="0" />
-		<edge from-layer="2311" from-port="0" to-layer="2312" to-port="1" />
-		<edge from-layer="2312" from-port="2" to-layer="2315" to-port="0" />
-		<edge from-layer="2313" from-port="0" to-layer="2315" to-port="1" />
-		<edge from-layer="2313" from-port="0" to-layer="2315" to-port="3" />
-		<edge from-layer="2314" from-port="0" to-layer="2315" to-port="2" />
-		<edge from-layer="2314" from-port="0" to-layer="2315" to-port="4" />
-		<edge from-layer="2315" from-port="5" to-layer="2322" to-port="0" />
-		<edge from-layer="2316" from-port="0" to-layer="2317" to-port="0" />
-		<edge from-layer="2317" from-port="1" to-layer="2319" to-port="0" />
-		<edge from-layer="2318" from-port="0" to-layer="2319" to-port="1" />
-		<edge from-layer="2319" from-port="2" to-layer="2321" to-port="0" />
-		<edge from-layer="2320" from-port="0" to-layer="2321" to-port="1" />
-		<edge from-layer="2321" from-port="2" to-layer="2322" to-port="1" />
-		<edge from-layer="2322" from-port="2" to-layer="2323" to-port="1" />
-		<edge from-layer="2323" from-port="2" to-layer="2324" to-port="0" />
-		<edge from-layer="2324" from-port="2" to-layer="2326" to-port="0" />
-		<edge from-layer="2324" from-port="2" to-layer="2327" to-port="0" />
-		<edge from-layer="2325" from-port="0" to-layer="2326" to-port="1" />
-		<edge from-layer="2326" from-port="2" to-layer="2327" to-port="1" />
-		<edge from-layer="2327" from-port="2" to-layer="2329" to-port="0" />
-		<edge from-layer="2327" from-port="2" to-layer="2335" to-port="0" />
-		<edge from-layer="2328" from-port="0" to-layer="2329" to-port="1" />
-		<edge from-layer="2329" from-port="2" to-layer="2331" to-port="0" />
-		<edge from-layer="2330" from-port="0" to-layer="2331" to-port="1" />
-		<edge from-layer="2331" from-port="2" to-layer="2333" to-port="0" />
-		<edge from-layer="2332" from-port="0" to-layer="2333" to-port="1" />
-		<edge from-layer="2333" from-port="2" to-layer="2334" to-port="0" />
-		<edge from-layer="2334" from-port="1" to-layer="2335" to-port="1" />
-		<edge from-layer="2335" from-port="2" to-layer="2337" to-port="0" />
-		<edge from-layer="2336" from-port="0" to-layer="2337" to-port="1" />
-		<edge from-layer="2337" from-port="2" to-layer="2339" to-port="0" />
-		<edge from-layer="2338" from-port="0" to-layer="2339" to-port="1" />
-		<edge from-layer="2339" from-port="2" to-layer="2342" to-port="0" />
-		<edge from-layer="2340" from-port="0" to-layer="2342" to-port="1" />
-		<edge from-layer="2340" from-port="0" to-layer="2342" to-port="3" />
-		<edge from-layer="2341" from-port="0" to-layer="2342" to-port="4" />
-		<edge from-layer="2341" from-port="0" to-layer="2342" to-port="2" />
-		<edge from-layer="2342" from-port="5" to-layer="2345" to-port="0" />
-		<edge from-layer="2343" from-port="0" to-layer="2345" to-port="1" />
-		<edge from-layer="2344" from-port="0" to-layer="2345" to-port="2" />
-		<edge from-layer="2345" from-port="3" to-layer="2350" to-port="0" />
-		<edge from-layer="2346" from-port="0" to-layer="2347" to-port="0" />
-		<edge from-layer="2347" from-port="1" to-layer="2349" to-port="0" />
-		<edge from-layer="2348" from-port="0" to-layer="2349" to-port="1" />
-		<edge from-layer="2349" from-port="2" to-layer="2350" to-port="1" />
-		<edge from-layer="2350" from-port="2" to-layer="2352" to-port="0" />
-		<edge from-layer="2351" from-port="0" to-layer="2352" to-port="1" />
-		<edge from-layer="2352" from-port="2" to-layer="2356" to-port="0" />
-		<edge from-layer="2353" from-port="0" to-layer="2355" to-port="0" />
-		<edge from-layer="2354" from-port="0" to-layer="2355" to-port="1" />
-		<edge from-layer="2355" from-port="2" to-layer="2356" to-port="1" />
-		<edge from-layer="2356" from-port="2" to-layer="2359" to-port="0" />
-		<edge from-layer="2357" from-port="0" to-layer="2359" to-port="3" />
-		<edge from-layer="2357" from-port="0" to-layer="2359" to-port="1" />
-		<edge from-layer="2358" from-port="0" to-layer="2359" to-port="4" />
-		<edge from-layer="2358" from-port="0" to-layer="2359" to-port="2" />
-		<edge from-layer="2359" from-port="5" to-layer="2360" to-port="0" />
-		<edge from-layer="2360" from-port="1" to-layer="2363" to-port="0" />
-		<edge from-layer="2361" from-port="0" to-layer="2363" to-port="1" />
-		<edge from-layer="2361" from-port="0" to-layer="2363" to-port="3" />
-		<edge from-layer="2362" from-port="0" to-layer="2363" to-port="2" />
-		<edge from-layer="2362" from-port="0" to-layer="2363" to-port="4" />
-		<edge from-layer="2363" from-port="5" to-layer="2368" to-port="0" />
-		<edge from-layer="2364" from-port="0" to-layer="2365" to-port="0" />
-		<edge from-layer="2365" from-port="1" to-layer="2367" to-port="0" />
-		<edge from-layer="2366" from-port="0" to-layer="2367" to-port="1" />
-		<edge from-layer="2367" from-port="2" to-layer="2368" to-port="1" />
-		<edge from-layer="2368" from-port="2" to-layer="2370" to-port="0" />
-		<edge from-layer="2369" from-port="0" to-layer="2370" to-port="1" />
-		<edge from-layer="2370" from-port="2" to-layer="2374" to-port="0" />
-		<edge from-layer="2371" from-port="0" to-layer="2373" to-port="0" />
-		<edge from-layer="2372" from-port="0" to-layer="2373" to-port="1" />
-		<edge from-layer="2373" from-port="2" to-layer="2374" to-port="1" />
-		<edge from-layer="2374" from-port="2" to-layer="2375" to-port="0" />
+		<edge from-layer="1759" from-port="2" to-layer="1760" to-port="1" />
+		<edge from-layer="1760" from-port="2" to-layer="1761" to-port="0" />
 	</edges>
 	<rt_info />
 </net>