diff --git "a/openvino_encoder_model.xml" "b/openvino_encoder_model.xml"
--- "a/openvino_encoder_model.xml"
+++ "b/openvino_encoder_model.xml"
@@ -21,7 +21,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2" name="Convert_29007" type="Convert" version="opset1">
+		<layer id="2" name="Convert_132511" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -48,7 +48,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Convert_29010" type="Convert" version="opset1">
+		<layer id="4" name="Convert_132514" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -217,7 +217,7 @@
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 		</layer>
-		<layer id="14" name="Convert_28820" type="Convert" version="opset1">
+		<layer id="14" name="Convert_59496" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -244,7 +244,7 @@
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 			</output>
 		</layer>
-		<layer id="16" name="Convert_28823" type="Convert" version="opset1">
+		<layer id="16" name="Convert_59499" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -430,7 +430,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="Constant_4313" type="Const" version="opset1">
+		<layer id="27" name="Constant_4657" type="Const" version="opset1">
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 			<output>
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@@ -490,7 +490,7 @@
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 		</layer>
-		<layer id="31" name="Constant_4314" type="Const" version="opset1">
+		<layer id="31" name="Constant_4658" type="Const" version="opset1">
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@@ -522,7 +522,7 @@
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 			</output>
 		</layer>
-		<layer id="33" name="Constant_4315" type="Const" version="opset1">
+		<layer id="33" name="Constant_4659" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 384" offset="2845468" size="1536" />
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@@ -547,14 +547,14 @@
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+				<port id="2" precision="FP32" names="82,hidden_states.1">
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-		<layer id="35" name="Constant_4258" type="Const" version="opset1">
+		<layer id="35" name="self.layers.0.self_attn.q_proj.weight" type="Const" version="opset1">
 			<data element_type="u8" shape="384, 384" offset="2847004" size="147456" />
 			<output>
 				<port id="0" precision="U8">
@@ -563,7 +563,7 @@
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 			</output>
 		</layer>
-		<layer id="36" name="Convert_28853" type="Convert" version="opset1">
+		<layer id="36" name="Convert_72381" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -578,7 +578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="Constant_4258/zero_point" type="Const" version="opset1">
+		<layer id="37" name="self.layers.0.self_attn.q_proj.weight/zero_point" type="Const" version="opset1">
 			<data element_type="u8" shape="384, 1" offset="2994460" size="384" />
 			<output>
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@@ -587,7 +587,7 @@
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 			</output>
 		</layer>
-		<layer id="38" name="Convert_28856" type="Convert" version="opset1">
+		<layer id="38" name="Convert_72384" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -602,7 +602,7 @@
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 			</output>
 		</layer>
-		<layer id="39" name="Constant_4258/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="39" name="self.layers.0.self_attn.q_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -621,7 +621,7 @@
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 			</output>
 		</layer>
-		<layer id="40" name="Constant_4258/scale" type="Const" version="opset1">
+		<layer id="40" name="self.layers.0.self_attn.q_proj.weight/scale" type="Const" version="opset1">
 			<data element_type="f16" shape="384, 1" offset="2994844" size="768" />
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@@ -630,7 +630,7 @@
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-		<layer id="41" name="Constant_4258/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="41" name="self.layers.0.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -649,7 +649,7 @@
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 		</layer>
-		<layer id="42" name="Constant_4258/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="42" name="self.layers.0.self_attn.q_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -664,7 +664,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="Multiply_4241" type="MatMul" version="opset1">
+		<layer id="43" name="__module.layers.0.self_attn.q_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -685,7 +685,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="Constant_4316" type="Const" version="opset1">
+		<layer id="44" name="Constant_4660" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 384" offset="2995612" size="1536" />
 			<output>
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@@ -695,7 +695,7 @@
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 			</output>
 		</layer>
-		<layer id="45" name="__module.layers.0.self_attn/aten::mul/Multiply" type="Add" version="opset1">
+		<layer id="45" name="__module.layers.0.self_attn.q_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -710,14 +710,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="94,tensor.1">
+				<port id="2" precision="FP32" names="91,tensor.1">
 					<dim>-1</dim>
 					<dim>1500</dim>
 					<dim>384</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="Constant_4424" type="Const" version="opset1">
+		<layer id="46" name="Constant_4768" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="2997148" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -738,7 +738,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="96">
+				<port id="2" precision="FP32" names="93">
 					<dim>-1</dim>
 					<dim>1500</dim>
 					<dim>6</dim>
@@ -767,7 +767,7 @@
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 			</input>
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-				<port id="2" precision="FP32" names="97">
+				<port id="2" precision="FP32" names="94">
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 					<dim>6</dim>
 					<dim>1500</dim>
@@ -784,7 +784,7 @@
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 			</output>
 		</layer>
-		<layer id="51" name="Convert_28842" type="Convert" version="opset1">
+		<layer id="51" name="Convert_68086" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -808,7 +808,7 @@
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 			</output>
 		</layer>
-		<layer id="53" name="Convert_28845" type="Convert" version="opset1">
+		<layer id="53" name="Convert_68089" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -899,14 +899,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="100,tensor.3">
+				<port id="2" precision="FP32" names="97,tensor.3">
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 					<dim>1500</dim>
 					<dim>384</dim>
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 			</output>
 		</layer>
-		<layer id="59" name="Constant_4425" type="Const" version="opset1">
+		<layer id="59" name="Constant_4769" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="2997148" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -927,7 +927,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="102">
+				<port id="2" precision="FP32" names="99">
 					<dim>-1</dim>
 					<dim>1500</dim>
 					<dim>6</dim>
@@ -956,7 +956,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="103">
+				<port id="2" precision="FP32" names="100">
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 					<dim>6</dim>
 					<dim>1500</dim>
@@ -964,51 +964,7 @@
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-		<layer id="63" name="__module.layers.0.self_attn/aten::matmul/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
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-					<dim>6</dim>
-					<dim>1500</dim>
-					<dim>1500</dim>
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-		</layer>
-		<layer id="64" name="__module.layers.0.self_attn/aten::softmax/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>1500</dim>
-					<dim>1500</dim>
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-			<output>
-				<port id="1" precision="FP32" names="114,input.5">
-					<dim>-1</dim>
-					<dim>6</dim>
-					<dim>1500</dim>
-					<dim>1500</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="65" name="self.layers.0.self_attn.v_proj.weight" type="Const" version="opset1">
+		<layer id="63" name="self.layers.0.self_attn.v_proj.weight" type="Const" version="opset1">
 			<data element_type="u8" shape="384, 384" offset="3145804" size="147456" />
 			<output>
 				<port id="0" precision="U8">
@@ -1017,7 +973,7 @@
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 			</output>
 		</layer>
-		<layer id="66" name="Convert_28831" type="Convert" version="opset1">
+		<layer id="64" name="Convert_63791" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1032,7 +988,7 @@
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-		<layer id="67" name="self.layers.0.self_attn.v_proj.weight/zero_point" type="Const" version="opset1">
+		<layer id="65" name="self.layers.0.self_attn.v_proj.weight/zero_point" type="Const" version="opset1">
 			<data element_type="u8" shape="384, 1" offset="3293260" size="384" />
 			<output>
 				<port id="0" precision="U8">
@@ -1041,7 +997,7 @@
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 			</output>
 		</layer>
-		<layer id="68" name="Convert_28834" type="Convert" version="opset1">
+		<layer id="66" name="Convert_63794" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -1056,7 +1012,7 @@
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 			</output>
 		</layer>
-		<layer id="69" name="self.layers.0.self_attn.v_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="67" name="self.layers.0.self_attn.v_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1075,7 +1031,7 @@
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 		</layer>
-		<layer id="70" name="self.layers.0.self_attn.v_proj.weight/scale" type="Const" version="opset1">
+		<layer id="68" name="self.layers.0.self_attn.v_proj.weight/scale" type="Const" version="opset1">
 			<data element_type="f16" shape="384, 1" offset="3293644" size="768" />
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@@ -1084,7 +1040,7 @@
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 		</layer>
-		<layer id="71" name="self.layers.0.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="69" name="self.layers.0.self_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1103,7 +1059,7 @@
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 			</output>
 		</layer>
-		<layer id="72" name="self.layers.0.self_attn.v_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="70" name="self.layers.0.self_attn.v_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -1118,7 +1074,7 @@
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 		</layer>
-		<layer id="73" name="__module.layers.0.self_attn.v_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="71" name="__module.layers.0.self_attn.v_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1139,7 +1095,7 @@
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 			</output>
 		</layer>
-		<layer id="74" name="Constant_4317" type="Const" version="opset1">
+		<layer id="72" name="Constant_4661" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 384" offset="3294412" size="1536" />
 			<output>
 				<port id="0" precision="FP32">
@@ -1149,7 +1105,7 @@
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 			</output>
 		</layer>
-		<layer id="75" name="__module.layers.0.self_attn.v_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="73" name="__module.layers.0.self_attn.v_proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1164,14 +1120,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="107,tensor.5">
+				<port id="2" precision="FP32" names="104,tensor.5">
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 					<dim>1500</dim>
 					<dim>384</dim>
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-		<layer id="76" name="Constant_4426" type="Const" version="opset1">
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 			<output>
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@@ -1179,7 +1135,7 @@
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-		<layer id="77" name="__module.layers.0.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
+		<layer id="75" name="__module.layers.0.self_attn/aten::view/Reshape_2" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
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@@ -1192,7 +1148,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="109">
+				<port id="2" precision="FP32" names="106">
 					<dim>-1</dim>
 					<dim>1500</dim>
 					<dim>6</dim>
@@ -1200,7 +1156,7 @@
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-		<layer id="78" name="__module.layers.0.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
+		<layer id="76" name="__module.layers.0.self_attn/aten::transpose/Constant_2" type="Const" version="opset1">
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@@ -1208,7 +1164,7 @@
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-		<layer id="79" name="__module.layers.0.self_attn/aten::transpose/Transpose_3" type="Transpose" version="opset1">
+		<layer id="77" name="__module.layers.0.self_attn/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1221,7 +1177,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="110">
+				<port id="2" precision="FP32" names="107">
 					<dim>-1</dim>
 					<dim>6</dim>
 					<dim>1500</dim>
@@ -1229,14 +1185,14 @@
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-		<layer id="80" name="__module.layers.0.self_attn/aten::matmul/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="78" name="__module.layers.0.self_attn/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>6</dim>
 					<dim>1500</dim>
-					<dim>1500</dim>
+					<dim>64</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
@@ -1244,9 +1200,15 @@
 					<dim>1500</dim>
 					<dim>64</dim>
 				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>6</dim>
+					<dim>1500</dim>
+					<dim>64</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="116,attn_output.1">
+				<port id="3" precision="FP32" names="109,attn_output.1">
 					<dim>-1</dim>
 					<dim>6</dim>
 					<dim>1500</dim>
@@ -1254,7 +1216,7 @@
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 		</layer>
-		<layer id="81" name="__module.layers.0.self_attn/aten::transpose/Constant_4" type="Const" version="opset1">
+		<layer id="79" name="__module.layers.0.self_attn/aten::transpose/Constant_3" type="Const" version="opset1">
 			<data element_type="i32" shape="4" offset="2997180" size="16" />
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@@ -1262,7 +1224,7 @@
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+		<layer id="82" name="__module.layers.0.self_attn/aten::reshape/Reshape" type="Reshape" version="opset1">
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@@ -1305,14 +1267,14 @@
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@@ -1321,7 +1283,7 @@
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@@ -1336,7 +1298,7 @@
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@@ -1345,7 +1307,7 @@
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@@ -1360,7 +1322,7 @@
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+		<layer id="87" name="self.layers.0.self_attn.out_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
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@@ -1379,7 +1341,7 @@
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@@ -1388,7 +1350,7 @@
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@@ -1407,7 +1369,7 @@
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+		<layer id="90" name="self.layers.0.self_attn.out_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
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@@ -1422,7 +1384,7 @@
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@@ -1443,7 +1405,7 @@
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@@ -1453,7 +1415,7 @@
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+		<layer id="93" name="__module.layers.0.self_attn.out_proj/aten::linear/Add" type="Add" version="opset1">
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@@ -1468,14 +1430,14 @@
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@@ -1490,14 +1452,14 @@
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 					<dim>1500</dim>
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-		<layer id="97" name="__module.layers.0.final_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
+		<layer id="95" name="__module.layers.0.final_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -1505,7 +1467,7 @@
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@@ -1525,7 +1487,7 @@
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@@ -1535,7 +1497,7 @@
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+		<layer id="98" name="__module.layers.0.final_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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@@ -1557,7 +1519,7 @@
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 			<data element_type="f32" shape="1, 1, 384" offset="3447652" size="1536" />
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@@ -1567,7 +1529,7 @@
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+		<layer id="100" name="__module.layers.0.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -1582,14 +1544,14 @@
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 			<output>
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@@ -1598,7 +1560,7 @@
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-		<layer id="104" name="Convert_28732" type="Convert" version="opset1">
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 			<input>
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@@ -1613,7 +1575,7 @@
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+		<layer id="103" name="self.layers.0.fc1.weight/zero_point" type="Const" version="opset1">
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@@ -1622,7 +1584,7 @@
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 		</layer>
-		<layer id="106" name="Convert_28735" type="Convert" version="opset1">
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 			<input>
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@@ -1637,7 +1599,7 @@
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@@ -1656,7 +1618,7 @@
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 			<data element_type="f16" shape="1536, 1" offset="4040548" size="3072" />
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@@ -1665,7 +1627,7 @@
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@@ -1684,7 +1646,7 @@
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 			<input>
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@@ -1699,7 +1661,7 @@
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@@ -1720,7 +1682,7 @@
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@@ -1730,7 +1692,7 @@
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+		<layer id="111" name="__module.layers.0.fc1/aten::linear/Add" type="Add" version="opset1">
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 			<input>
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@@ -1745,14 +1707,14 @@
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+		<layer id="112" name="__module.layers.0.activation_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
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@@ -1762,14 +1724,14 @@
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 			<output>
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 					<dim>1500</dim>
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@@ -1778,7 +1740,7 @@
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@@ -1793,7 +1755,7 @@
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@@ -1802,7 +1764,7 @@
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@@ -1817,7 +1779,7 @@
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@@ -1836,7 +1798,7 @@
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@@ -1845,7 +1807,7 @@
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@@ -1864,7 +1826,7 @@
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@@ -1879,7 +1841,7 @@
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@@ -1900,7 +1862,7 @@
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@@ -1910,7 +1872,7 @@
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@@ -1925,14 +1887,14 @@
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@@ -2113,7 +2075,7 @@
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@@ -2177,7 +2139,7 @@
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@@ -2187,7 +2149,7 @@
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@@ -2267,7 +2229,7 @@
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@@ -2276,7 +2238,7 @@
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@@ -2300,7 +2262,7 @@
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@@ -2315,7 +2277,7 @@
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@@ -2334,7 +2296,7 @@
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@@ -2343,7 +2305,7 @@
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@@ -2362,7 +2324,7 @@
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+		<layer id="153" name="self.layers.1.self_attn.k_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
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@@ -2377,7 +2339,7 @@
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@@ -2419,7 +2381,7 @@
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@@ -2509,7 +2427,7 @@
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 					<dim>1500</dim>
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@@ -3049,7 +2973,7 @@
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@@ -3392,7 +3316,7 @@
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@@ -3454,7 +3378,7 @@
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@@ -3474,7 +3398,7 @@
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@@ -3484,7 +3408,7 @@
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@@ -3506,7 +3430,7 @@
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@@ -3516,7 +3440,7 @@
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@@ -3547,7 +3471,7 @@
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@@ -3562,7 +3486,7 @@
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-		<layer id="233" name="Constant_4264/zero_point" type="Const" version="opset1">
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 			<data element_type="u8" shape="384, 1" offset="6591076" size="384" />
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@@ -3571,7 +3495,7 @@
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@@ -3586,7 +3510,7 @@
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@@ -3605,7 +3529,7 @@
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 			<data element_type="f16" shape="384, 1" offset="6591460" size="768" />
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@@ -3614,7 +3538,7 @@
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@@ -3633,7 +3557,7 @@
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 			<input>
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@@ -3648,7 +3572,7 @@
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@@ -3669,7 +3593,7 @@
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 			<data element_type="f32" shape="1, 1, 384" offset="6592228" size="1536" />
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@@ -3679,7 +3603,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -3694,14 +3618,14 @@
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 			<output>
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 					<dim>1500</dim>
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 			<data special_zero="true" />
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@@ -3722,7 +3646,7 @@
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 					<dim>1500</dim>
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@@ -3730,7 +3654,7 @@
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@@ -3738,7 +3662,7 @@
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 				<port id="0" precision="FP32">
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@@ -3751,7 +3675,7 @@
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 					<dim>1500</dim>
@@ -3759,7 +3683,7 @@
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 			<data element_type="u8" shape="384, 384" offset="6593764" size="147456" />
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@@ -3768,7 +3692,7 @@
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@@ -3783,7 +3707,7 @@
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@@ -3792,7 +3716,7 @@
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-		<layer id="249" name="Convert_28933" type="Convert" version="opset1">
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 			<input>
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@@ -3807,7 +3731,7 @@
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@@ -3826,7 +3750,7 @@
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@@ -3835,7 +3759,7 @@
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@@ -3854,7 +3778,7 @@
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@@ -3869,7 +3793,7 @@
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-			<data transpose_a="false" transpose_b="false" />
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@@ -5419,7 +5305,7 @@
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@@ -5440,51 +5326,7 @@
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@@ -5493,7 +5335,7 @@
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 			<input>
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@@ -5508,7 +5350,7 @@
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@@ -5517,7 +5359,7 @@
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 		</layer>
-		<layer id="362" name="Convert_28966" type="Convert" version="opset1">
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 			<input>
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@@ -5532,7 +5374,7 @@
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@@ -5551,7 +5393,7 @@
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@@ -5560,7 +5402,7 @@
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 			<input>
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@@ -5579,7 +5421,7 @@
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 			<input>
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@@ -5594,7 +5436,7 @@
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@@ -5615,7 +5457,7 @@
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@@ -5625,7 +5467,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -5640,14 +5482,14 @@
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-		<layer id="370" name="Constant_4438" type="Const" version="opset1">
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@@ -5655,7 +5497,7 @@
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 			<data special_zero="true" />
 			<input>
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@@ -5668,7 +5510,7 @@
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 					<dim>1500</dim>
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@@ -5676,7 +5518,7 @@
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-			<data transpose_a="false" transpose_b="false" />
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@@ -5720,9 +5562,15 @@
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+				<port id="2" precision="FP32">
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@@ -5751,7 +5599,7 @@
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 	</edges>
 	<rt_info>
-		<Runtime_version value="2024.5.0-17285-ea5c1dcfdf9-releases/2024/5" />
+		<Runtime_version value="2025.2.0-19120-87425bc78ca-releases/2025/2" />
 		<conversion_parameters>
 			<framework value="pytorch" />
 			<is_python_object value="True" />
@@ -6986,25 +6826,27 @@
 		<nncf>
 			<friendly_names_were_updated value="True" />
 			<weight_compression>
-				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
+				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}, 'lora_adapter_rank': 256}" />
 				<all_layers value="False" />
 				<awq value="False" />
 				<backup_mode value="int8_asym" />
+				<compression_format value="dequantize" />
 				<gptq value="False" />
 				<group_size value="-1" />
 				<ignored_scope value="[]" />
 				<lora_correction value="False" />
 				<mode value="int8_asym" />
-				<ratio value="1" />
+				<ratio value="1.0" />
 				<scale_estimation value="False" />
 				<sensitivity_metric value="weight_quantization_error" />
 			</weight_compression>
 		</nncf>
 		<optimum>
-			<optimum_intel_version value="1.21.0.dev0+d357376" />
-			<optimum_version value="1.23.3" />
-			<pytorch_version value="2.5.1" />
-			<transformers_version value="4.46.3" />
+			<nncf_version value="2.16.0" />
+			<optimum_intel_version value="1.24.0.dev0+08e3008" />
+			<optimum_version value="1.25.3" />
+			<pytorch_version value="2.7.0+cpu" />
+			<transformers_version value="4.51.3" />
 		</optimum>
 	</rt_info>
 </net>