diff --git "a/text_encoder.xml" "b/text_encoder.xml"
--- "a/text_encoder.xml"
+++ "b/text_encoder.xml"
@@ -1,11 +1,10 @@
-<?xml version="1.0" ?>
+<?xml version="1.0"?>
 <net name="torch_jit" version="11">
 	<layers>
 		<layer id="0" name="tokens" type="Parameter" version="opset1">
-			<data shape="1,77" element_type="i64"/>
+			<data shape="1,77" element_type="i64" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="tokens"/>
-				<attribute name="old_api_map_element_type" version="0" value="i32"/>
+				<attribute name="old_api_map_element_type" version="0" value="i32" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="tokens">
@@ -14,34 +13,43 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1" name="m.text_model.embeddings.token_embedding.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="49408, 768" offset="0" size="151781376"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.text_model.embeddings.token_embedding.weight"/>
-			</rt_info>
+		<layer id="1" name="text_model.embeddings.token_embedding.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="49408, 768" offset="0" size="75890688" />
 			<output>
-				<port id="0" precision="FP32" names="m.text_model.embeddings.token_embedding.weight">
+				<port id="0" precision="FP16">
 					<dim>49408</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2" name="onnx::Reshape_2279" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="151781376" size="16"/>
+		<layer id="2" name="text_model.embeddings.token_embedding.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2279"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>49408</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="text_model.embeddings.token_embedding.weight">
+					<dim>49408</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="/text_model/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="75890688" size="16" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2279">
+				<port id="0" precision="I64" names="/text_model/Constant_1_output_0">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="input" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input"/>
-			</rt_info>
+		<layer id="4" name="/text_model/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
@@ -52,26 +60,20 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="input">
+				<port id="2" precision="I64" names="/text_model/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_212" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="151781392" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_212"/>
-			</rt_info>
+		<layer id="5" name="Constant_206" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="75890704" size="8" />
 			<output>
-				<port id="0" precision="I64"/>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5" name="onnx::Add_211" type="Gather" version="opset8">
-			<data batch_dims="0"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_211"/>
-			</rt_info>
+		<layer id="6" name="/text_model/embeddings/token_embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>49408</dim>
@@ -81,31 +83,48 @@
 					<dim>1</dim>
 					<dim>77</dim>
 				</port>
-				<port id="2" precision="I64"/>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="onnx::Add_211">
+				<port id="3" precision="FP32" names="/text_model/embeddings/token_embedding/Gather_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="onnx::Add_212" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 77, 768" offset="151781400" size="236544"/>
+		<layer id="7" name="/text_model/embeddings/position_embedding/Gather_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 77, 768" offset="75890712" size="118272" />
 			<output>
-				<port id="0" precision="FP32" names="onnx::Add_212">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="input.7" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="8" name="/text_model/embeddings/position_embedding/Gather" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.7, onnx::Add_212"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/text_model/embeddings/position_embedding/Gather_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="/text_model/embeddings/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -119,39 +138,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.7">
+				<port id="2" precision="FP32" names="/text_model/embeddings/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Constant_3845" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="152017944" size="3072"/>
+		<layer id="10" name="Constant_7458_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="76008984" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Constant_217" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="11" name="Constant_7458" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_217"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Constant_262" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="onnx::Mul_222" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_218, onnx::Div_221, onnx::Mul_222, onnx::Pow_215, onnx::ReduceMean_217, onnx::Sqrt_220, onnx::Sub_214"/>
-			</rt_info>
+		<layer id="13" name="/text_model/encoder/layers.0/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -163,28 +196,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_222">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="Constant_3840" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="152021024" size="3072"/>
+		<layer id="14" name="Constant_7453_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="76010528" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="onnx::Add_223" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="15" name="Constant_7453" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_223"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="/text_model/encoder/layers.0/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -198,28 +248,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_223">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Constant_3841" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="152024096" size="3072"/>
+		<layer id="17" name="Constant_7454_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="76012064" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="onnx::MatMul_224" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="18" name="Constant_7454" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_224"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="/text_model/encoder/layers.0/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -233,30 +300,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_224">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="Constant_3611" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="152027168" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_229, onnx::MatMul_2281, onnx::Mul_230, onnx::Mul_231, query_states"/>
-			</rt_info>
+		<layer id="20" name="Constant_7201_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="76013600" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="Multiply_3559" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="21" name="Constant_7201" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_229, onnx::MatMul_2281, onnx::Mul_230, onnx::Mul_231, query_states"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="22" name="Multiply_7149" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -276,21 +355,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="Constant_3842" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="154386464" size="3072"/>
+		<layer id="23" name="Constant_7455_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="77193248" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="query_states" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="24" name="Constant_7455" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_230, query_states"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="/text_model/encoder/layers.0/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -304,29 +400,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="onnx::Reshape_2349" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389536" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2349"/>
-			</rt_info>
+		<layer id="26" name="/text_model/encoder/layers.0/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2298,onnx::Reshape_2349,onnx::Reshape_2400,onnx::Reshape_2451,onnx::Reshape_2502,onnx::Reshape_2553,onnx::Reshape_2604,onnx::Reshape_2655,onnx::Reshape_2706,onnx::Reshape_2757,onnx::Reshape_2808,onnx::Reshape_2859">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_3_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="onnx::Transpose_279" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_279"/>
-			</rt_info>
+		<layer id="27" name="/text_model/encoder/layers.0/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -338,7 +428,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_279">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -346,21 +436,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="Constant_257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_257"/>
-			</rt_info>
+		<layer id="28" name="Constant_308" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="22" name="onnx::Reshape_280" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_280"/>
-			</rt_info>
+		<layer id="29" name="/text_model/encoder/layers.0/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -373,7 +457,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_280">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -381,22 +465,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="23" name="onnx::Reshape_2306" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="154389600" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2306"/>
-			</rt_info>
+		<layer id="30" name="/text_model/encoder/layers.0/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2302,onnx::Reshape_2306,onnx::Reshape_2310,onnx::Reshape_2353,onnx::Reshape_2357,onnx::Reshape_2361,onnx::Reshape_2404,onnx::Reshape_2408,onnx::Reshape_2412,onnx::Reshape_2455,onnx::Reshape_2459,onnx::Reshape_2463,onnx::Reshape_2506,onnx::Reshape_2510,onnx::Reshape_2514,onnx::Reshape_2557,onnx::Reshape_2561,onnx::Reshape_2565,onnx::Reshape_2608,onnx::Reshape_2612,onnx::Reshape_2616,onnx::Reshape_2659,onnx::Reshape_2663,onnx::Reshape_2667,onnx::Reshape_2710,onnx::Reshape_2714,onnx::Reshape_2718,onnx::Reshape_2761,onnx::Reshape_2765,onnx::Reshape_2769,onnx::Reshape_2812,onnx::Reshape_2816,onnx::Reshape_2820,onnx::Reshape_2863,onnx::Reshape_2867,onnx::Reshape_2871">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_4_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="onnx::MatMul_290" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_290"/>
-			</rt_info>
+		<layer id="31" name="/text_model/encoder/layers.0/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -409,40 +487,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_290">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="Constant_3843" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="154389624" size="3072"/>
+		<layer id="32" name="Constant_7456_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="77194872" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="Constant_3019" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="154392696" size="2359296"/>
+		<layer id="33" name="Constant_7456" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_234, onnx::MatMul_2282"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Constant_6609_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="77196408" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="onnx::Add_234" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="35" name="Constant_6609" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_234, onnx::MatMul_2282"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="36" name="/text_model/encoder/layers.0/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -455,18 +565,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_234">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="onnx::Reshape_235" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_235"/>
-			</rt_info>
+		<layer id="37" name="/text_model/encoder/layers.0/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -480,29 +587,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_235">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="29" name="onnx::Reshape_2293" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="156751992" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2293"/>
-			</rt_info>
+		<layer id="38" name="/text_model/encoder/layers.0/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2287,onnx::Reshape_2293,onnx::Reshape_2338,onnx::Reshape_2344,onnx::Reshape_2389,onnx::Reshape_2395,onnx::Reshape_2440,onnx::Reshape_2446,onnx::Reshape_2491,onnx::Reshape_2497,onnx::Reshape_2542,onnx::Reshape_2548,onnx::Reshape_2593,onnx::Reshape_2599,onnx::Reshape_2644,onnx::Reshape_2650,onnx::Reshape_2695,onnx::Reshape_2701,onnx::Reshape_2746,onnx::Reshape_2752,onnx::Reshape_2797,onnx::Reshape_2803,onnx::Reshape_2848,onnx::Reshape_2854">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_1_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="30" name="onnx::Transpose_248" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_248"/>
-			</rt_info>
+		<layer id="39" name="/text_model/encoder/layers.0/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -514,7 +615,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_248">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -522,21 +623,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="Constant_242" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_242"/>
-			</rt_info>
+		<layer id="40" name="Constant_289" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="onnx::Reshape_249" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_249"/>
-			</rt_info>
+		<layer id="41" name="/text_model/encoder/layers.0/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -549,55 +644,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_249">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="33" name="onnx::Transpose_300" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_300"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_300">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="34" name="Constant_271" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_271"/>
-			</rt_info>
+		<layer id="42" name="/text_model/encoder/layers.0/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="35" name="onnx::MatMul_312" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_312"/>
-			</rt_info>
+		<layer id="43" name="/text_model/encoder/layers.0/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -607,18 +674,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_312">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="36" name="onnx::Reshape_313" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_313"/>
-			</rt_info>
+		<layer id="44" name="/text_model/encoder/layers.0/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -627,34 +691,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_313">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="onnx::Reshape_2366" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="156752048" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2366"/>
-			</rt_info>
+		<layer id="45" name="/text_model/encoder/layers.0/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2315,onnx::Reshape_2366,onnx::Reshape_2417,onnx::Reshape_2468,onnx::Reshape_2519,onnx::Reshape_2570,onnx::Reshape_2621,onnx::Reshape_2672,onnx::Reshape_2723,onnx::Reshape_2774,onnx::Reshape_2825,onnx::Reshape_2876">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_7_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="38" name="onnx::Add_324" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_324"/>
-			</rt_info>
+		<layer id="46" name="/text_model/encoder/layers.0/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -666,7 +724,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_324">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -674,13 +732,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="39" name="onnx::Add_325" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_325"/>
-			</rt_info>
+		<layer id="47" name="/text_model/Cast_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 77, 77" offset="78376120" size="11858" />
 			<output>
-				<port id="0" precision="FP32" names="onnx::Add_325">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>77</dim>
@@ -688,11 +743,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="40" name="onnx::Reshape_326" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="48" name="/text_model/Cast" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_326"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/text_model/Cast_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="/text_model/encoder/layers.0/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -708,7 +782,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_326">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -716,22 +790,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="41" name="onnx::Reshape_2370" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156775796" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2370"/>
-			</rt_info>
+		<layer id="50" name="/text_model/encoder/layers.0/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2319,onnx::Reshape_2370,onnx::Reshape_2421,onnx::Reshape_2472,onnx::Reshape_2523,onnx::Reshape_2574,onnx::Reshape_2625,onnx::Reshape_2676,onnx::Reshape_2727,onnx::Reshape_2778,onnx::Reshape_2829,onnx::Reshape_2880">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_8_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="attn_weights" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights"/>
-			</rt_info>
+		<layer id="51" name="/text_model/encoder/layers.0/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -744,18 +812,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="attn_weights.3" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.3"/>
-			</rt_info>
+		<layer id="52" name="/text_model/encoder/layers.0/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -764,40 +829,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.3">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="Constant_3844" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="156775820" size="3072"/>
+		<layer id="53" name="Constant_7457_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="78388002" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="Constant_3026" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="156778892" size="2359296"/>
+		<layer id="54" name="Constant_7457" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_251, onnx::MatMul_2288"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="Constant_6616_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="78389538" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="onnx::Add_251" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="56" name="Constant_6616" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_251, onnx::MatMul_2288"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="57" name="/text_model/encoder/layers.0/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -810,18 +907,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_251">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="onnx::Reshape_252" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_252"/>
-			</rt_info>
+		<layer id="58" name="/text_model/encoder/layers.0/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -835,18 +929,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_252">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="48" name="onnx::Transpose_265" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_265"/>
-			</rt_info>
+		<layer id="59" name="/text_model/encoder/layers.0/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="/text_model/encoder/layers.0/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -858,7 +957,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_265">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -866,21 +965,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="49" name="Constant_249" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_249"/>
-			</rt_info>
+		<layer id="61" name="Constant_299" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="50" name="onnx::Reshape_266" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_266"/>
-			</rt_info>
+		<layer id="62" name="/text_model/encoder/layers.0/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -893,7 +986,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_266">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -901,11 +994,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="51" name="onnx::MatMul_310" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_310"/>
-			</rt_info>
+		<layer id="63" name="/text_model/encoder/layers.0/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="/text_model/encoder/layers.0/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -918,18 +1016,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_310">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="52" name="onnx::Reshape_337" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_337"/>
-			</rt_info>
+		<layer id="65" name="/text_model/encoder/layers.0/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -943,29 +1038,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_337">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="53" name="onnx::Reshape_2375" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="159138188" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2375"/>
-			</rt_info>
+		<layer id="66" name="/text_model/encoder/layers.0/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2324,onnx::Reshape_2375,onnx::Reshape_2426,onnx::Reshape_2477,onnx::Reshape_2528,onnx::Reshape_2579,onnx::Reshape_2630,onnx::Reshape_2681,onnx::Reshape_2732,onnx::Reshape_2783,onnx::Reshape_2834,onnx::Reshape_2885">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_9_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="54" name="onnx::Transpose_349" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_349"/>
-			</rt_info>
+		<layer id="67" name="/text_model/encoder/layers.0/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -977,7 +1066,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_349">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -985,21 +1074,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="55" name="Constant_296" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_296"/>
-			</rt_info>
+		<layer id="68" name="Constant_358" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="56" name="onnx::Reshape_350" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_350"/>
-			</rt_info>
+		<layer id="69" name="/text_model/encoder/layers.0/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1012,7 +1095,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_350">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -1020,22 +1103,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="onnx::Reshape_2379" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="159138220" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2379"/>
-			</rt_info>
+		<layer id="70" name="/text_model/encoder/layers.0/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_2328,onnx::Reshape_2379,onnx::Reshape_2430,onnx::Reshape_2481,onnx::Reshape_2532,onnx::Reshape_2583,onnx::Reshape_2634,onnx::Reshape_2685,onnx::Reshape_2736,onnx::Reshape_2787,onnx::Reshape_2838,onnx::Reshape_2889">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.0/self_attn/Constant_10_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="58" name="onnx::MatMul_358" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_358"/>
-			</rt_info>
+		<layer id="71" name="/text_model/encoder/layers.0/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1048,30 +1125,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_358">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="59" name="Constant_3033" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="159138244" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_360, onnx::MatMul_2329"/>
-			</rt_info>
+		<layer id="72" name="Constant_6623_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="79569242" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="60" name="onnx::Add_360" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="73" name="Constant_6623" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_360, onnx::MatMul_2329"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="74" name="/text_model/encoder/layers.0/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1084,18 +1173,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_360">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="61" name="onnx::Add_361" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_361"/>
-			</rt_info>
+		<layer id="75" name="/text_model/encoder/layers.0/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1109,18 +1195,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_361">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="62" name="input.11" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.11"/>
-			</rt_info>
+		<layer id="76" name="/text_model/encoder/layers.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1134,49 +1217,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.11">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="63" name="Constant_3849" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="161497540" size="3072"/>
+		<layer id="77" name="Constant_7462_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="80748890" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="78" name="Constant_7462" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="64" name="Constant_3848" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="161500612" size="12288"/>
+		<layer id="79" name="Constant_7461_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="80750426" size="6144" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="Constant_307" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="80" name="Constant_7461" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_307"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="Constant_370" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="66" name="onnx::Mul_371" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_367, onnx::Div_370, onnx::Mul_371, onnx::Pow_364, onnx::ReduceMean_366, onnx::Sqrt_369, onnx::Sub_363"/>
-			</rt_info>
+		<layer id="82" name="/text_model/encoder/layers.0/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1188,28 +1305,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_371">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="67" name="Constant_3846" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="161512900" size="3072"/>
+		<layer id="83" name="Constant_7459_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="80756570" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="68" name="onnx::Add_372" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="84" name="Constant_7459" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_372"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="/text_model/encoder/layers.0/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1223,28 +1357,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_372">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="69" name="Constant_3847" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="161515972" size="3072"/>
+		<layer id="86" name="Constant_7460_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="80758106" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="70" name="onnx::MatMul_373" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="87" name="Constant_7460" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_373"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="/text_model/encoder/layers.0/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1258,30 +1409,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_373">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="Constant_3041" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="161519044" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_375, onnx::MatMul_2330"/>
-			</rt_info>
+		<layer id="89" name="Constant_6631_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="80759642" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="72" name="onnx::Add_375" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="90" name="Constant_6631" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_375, onnx::MatMul_2330"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="91" name="/text_model/encoder/layers.0/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1294,18 +1457,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_375">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="onnx::Mul_376" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_376"/>
-			</rt_info>
+		<layer id="92" name="/text_model/encoder/layers.0/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1319,56 +1479,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_376">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="74" name="Constant_3043" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="93" name="Constant_6633_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="75" name="onnx::MatMul_380" type="Swish" version="opset4">
+		<layer id="94" name="Constant_6633" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_380, onnx::Mul_379"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="95" name="/text_model/encoder/layers.0/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_380">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="Constant_3050" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="170956232" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_382, onnx::MatMul_2331"/>
-			</rt_info>
+		<layer id="96" name="Constant_6640_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="85478236" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="77" name="onnx::Add_382" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="97" name="Constant_6640" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_382, onnx::MatMul_2331"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="98" name="/text_model/encoder/layers.0/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1381,18 +1562,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_382">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="onnx::Add_383" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_383"/>
-			</rt_info>
+		<layer id="99" name="/text_model/encoder/layers.0/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1406,18 +1584,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_383">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="79" name="input.15" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.15"/>
-			</rt_info>
+		<layer id="100" name="/text_model/encoder/layers.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1431,39 +1606,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.15">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.0/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="80" name="Constant_3855" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="180393416" size="3072"/>
+		<layer id="101" name="Constant_7468_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="90196828" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="81" name="Constant_329" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="102" name="Constant_7468" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_329"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="Constant_392" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="82" name="onnx::Mul_393" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_389, onnx::Div_392, onnx::Mul_393, onnx::Pow_386, onnx::ReduceMean_388, onnx::Sqrt_391, onnx::Sub_385"/>
-			</rt_info>
+		<layer id="104" name="/text_model/encoder/layers.1/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1475,28 +1664,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_393">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="83" name="Constant_3850" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="180396488" size="3072"/>
+		<layer id="105" name="Constant_7463_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="90198364" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="84" name="onnx::Add_394" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="106" name="Constant_7463" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_394"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="/text_model/encoder/layers.1/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1510,28 +1716,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_394">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="85" name="Constant_3851" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="180399560" size="3072"/>
+		<layer id="108" name="Constant_7464_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="90199900" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="86" name="onnx::MatMul_395" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="109" name="Constant_7464" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_395"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="/text_model/encoder/layers.1/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1545,30 +1768,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_395">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="87" name="Constant_3617" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="180402632" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_400, onnx::MatMul_2332, onnx::Mul_401, onnx::Mul_402, query_states.3"/>
-			</rt_info>
+		<layer id="111" name="Constant_7207_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="90201436" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="88" name="Multiply_3563" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="112" name="Constant_7207" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_400, onnx::MatMul_2332, onnx::Mul_401, onnx::Mul_402, query_states.3"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="113" name="Multiply_7153" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1588,21 +1823,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="89" name="Constant_3852" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="182761928" size="3072"/>
+		<layer id="114" name="Constant_7465_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="91381084" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="90" name="query_states.3" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="115" name="Constant_7465" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_401, query_states.3"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="/text_model/encoder/layers.1/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1616,18 +1868,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.3">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="91" name="onnx::Transpose_450" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_450"/>
-			</rt_info>
+		<layer id="117" name="/text_model/encoder/layers.1/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="/text_model/encoder/layers.1/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1639,7 +1896,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_450">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -1647,21 +1904,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="92" name="Constant_363" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_363"/>
-			</rt_info>
+		<layer id="119" name="Constant_438" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="93" name="onnx::Reshape_451" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_451"/>
-			</rt_info>
+		<layer id="120" name="/text_model/encoder/layers.1/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1674,7 +1925,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_451">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -1682,11 +1933,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="94" name="onnx::MatMul_461" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_461"/>
-			</rt_info>
+		<layer id="121" name="/text_model/encoder/layers.1/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="/text_model/encoder/layers.1/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1699,40 +1955,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_461">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="95" name="Constant_3853" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="182765000" size="3072"/>
+		<layer id="123" name="Constant_7466_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="91382620" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="96" name="Constant_3065" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="182768072" size="2359296"/>
+		<layer id="124" name="Constant_7466" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_405, onnx::MatMul_2333"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
-			<output>
-				<port id="0" precision="FP32">
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="97" name="onnx::Add_405" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_405, onnx::MatMul_2333"/>
+		<layer id="125" name="Constant_6655_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="91384156" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="Constant_6655" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="/text_model/encoder/layers.1/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1745,18 +2033,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_405">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="98" name="onnx::Reshape_406" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_406"/>
-			</rt_info>
+		<layer id="128" name="/text_model/encoder/layers.1/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1770,18 +2055,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_406">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="99" name="onnx::Transpose_419" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_419"/>
-			</rt_info>
+		<layer id="129" name="/text_model/encoder/layers.1/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="/text_model/encoder/layers.1/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1793,7 +2083,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_419">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -1801,21 +2091,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="100" name="Constant_351" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_351"/>
-			</rt_info>
+		<layer id="131" name="Constant_419" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="onnx::Reshape_420" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_420"/>
-			</rt_info>
+		<layer id="132" name="/text_model/encoder/layers.1/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1828,7 +2112,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_420">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -1836,47 +2120,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="102" name="onnx::Transpose_471" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_471"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_471">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="103" name="Constant_374" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_374"/>
-			</rt_info>
+		<layer id="133" name="/text_model/encoder/layers.1/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="onnx::MatMul_483" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_483"/>
-			</rt_info>
+		<layer id="134" name="/text_model/encoder/layers.1/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -1886,18 +2142,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_483">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="onnx::Reshape_484" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_484"/>
-			</rt_info>
+		<layer id="135" name="/text_model/encoder/layers.1/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -1906,23 +2159,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_484">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="onnx::Add_495" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_495"/>
-			</rt_info>
+		<layer id="136" name="/text_model/encoder/layers.1/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="/text_model/encoder/layers.1/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -1934,7 +2192,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_495">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -1942,25 +2200,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="onnx::Add_496" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_496"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_496">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="108" name="onnx::Reshape_497" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_497"/>
-			</rt_info>
+		<layer id="138" name="/text_model/encoder/layers.1/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1976,7 +2217,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_497">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -1984,11 +2225,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="attn_weights.7" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.7"/>
-			</rt_info>
+		<layer id="139" name="/text_model/encoder/layers.1/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="/text_model/encoder/layers.1/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2001,18 +2247,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.7">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="attn_weights.11" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.11"/>
-			</rt_info>
+		<layer id="141" name="/text_model/encoder/layers.1/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -2021,40 +2264,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.11">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="Constant_3854" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="185127368" size="3072"/>
+		<layer id="142" name="Constant_7467_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="92563804" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="Constant_3072" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="185130440" size="2359296"/>
+		<layer id="143" name="Constant_7467" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_422, onnx::MatMul_2339"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="Constant_6662_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="92565340" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="onnx::Add_422" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="145" name="Constant_6662" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_422, onnx::MatMul_2339"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="146" name="/text_model/encoder/layers.1/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2067,18 +2342,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_422">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="onnx::Reshape_423" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_423"/>
-			</rt_info>
+		<layer id="147" name="/text_model/encoder/layers.1/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2092,18 +2364,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_423">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="onnx::Transpose_436" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_436"/>
-			</rt_info>
+		<layer id="148" name="/text_model/encoder/layers.1/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="/text_model/encoder/layers.1/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2115,7 +2392,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_436">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -2123,21 +2400,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="Constant_358" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_358"/>
-			</rt_info>
+		<layer id="150" name="Constant_429" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="onnx::Reshape_437" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_437"/>
-			</rt_info>
+		<layer id="151" name="/text_model/encoder/layers.1/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2150,7 +2421,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_437">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -2158,11 +2429,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="onnx::MatMul_481" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_481"/>
-			</rt_info>
+		<layer id="152" name="/text_model/encoder/layers.1/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="/text_model/encoder/layers.1/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2175,18 +2451,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_481">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="onnx::Reshape_508" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_508"/>
-			</rt_info>
+		<layer id="154" name="/text_model/encoder/layers.1/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -2200,18 +2473,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_508">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="onnx::Transpose_520" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_520"/>
-			</rt_info>
+		<layer id="155" name="/text_model/encoder/layers.1/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="/text_model/encoder/layers.1/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -2223,7 +2501,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_520">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -2231,21 +2509,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="Constant_390" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_390"/>
-			</rt_info>
+		<layer id="157" name="Constant_488" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="onnx::Reshape_521" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_521"/>
-			</rt_info>
+		<layer id="158" name="/text_model/encoder/layers.1/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2258,7 +2530,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_521">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -2266,11 +2538,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="onnx::MatMul_529" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_529"/>
-			</rt_info>
+		<layer id="159" name="/text_model/encoder/layers.1/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.1/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="/text_model/encoder/layers.1/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2283,30 +2560,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_529">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="Constant_3079" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="187489736" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_531, onnx::MatMul_2380"/>
-			</rt_info>
+		<layer id="161" name="Constant_6669_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="93744988" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="onnx::Add_531" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="162" name="Constant_6669" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_531, onnx::MatMul_2380"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="163" name="/text_model/encoder/layers.1/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2319,18 +2608,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_531">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="onnx::Add_532" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_532"/>
-			</rt_info>
+		<layer id="164" name="/text_model/encoder/layers.1/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2344,18 +2630,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_532">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="input.19" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.19"/>
-			</rt_info>
+		<layer id="165" name="/text_model/encoder/layers.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2369,49 +2652,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.19">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="Constant_3859" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="189849032" size="3072"/>
+		<layer id="166" name="Constant_7472_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="94924636" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="Constant_3858" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="189852104" size="12288"/>
+		<layer id="167" name="Constant_7472" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="168" name="Constant_7471_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="94926172" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="Constant_398" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="169" name="Constant_7471" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_398"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="Constant_500" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="onnx::Mul_542" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_538, onnx::Div_541, onnx::Mul_542, onnx::Pow_535, onnx::ReduceMean_537, onnx::Sqrt_540, onnx::Sub_534"/>
-			</rt_info>
+		<layer id="171" name="/text_model/encoder/layers.1/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2423,28 +2740,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_542">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="132" name="Constant_3856" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="189864392" size="3072"/>
+		<layer id="172" name="Constant_7469_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="94932316" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="133" name="onnx::Add_543" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="173" name="Constant_7469" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_543"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="/text_model/encoder/layers.1/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2458,28 +2792,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_543">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="134" name="Constant_3857" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="189867464" size="3072"/>
+		<layer id="175" name="Constant_7470_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="94933852" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="135" name="onnx::MatMul_544" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="176" name="Constant_7470" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_544"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="/text_model/encoder/layers.1/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2493,54 +2844,63 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_544">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="Constant_3087" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="189870536" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_546, onnx::MatMul_2381"/>
-			</rt_info>
+		<layer id="178" name="Constant_6677_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="94935388" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="onnx::Add_546" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="179" name="Constant_6677" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_546, onnx::MatMul_2381"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_546">
-					<dim>1</dim>
-					<dim>77</dim>
+				<port id="1" precision="FP32">
 					<dim>3072</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="onnx::Mul_547" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_547"/>
-			</rt_info>
+		<layer id="180" name="/text_model/encoder/layers.1/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/mlp/fc1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="/text_model/encoder/layers.1/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2554,56 +2914,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_547">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="Constant_3089" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="182" name="Constant_6679_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="140" name="onnx::MatMul_551" type="Swish" version="opset4">
+		<layer id="183" name="Constant_6679" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_551, onnx::Mul_550"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="184" name="/text_model/encoder/layers.1/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_551">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="141" name="Constant_3096" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="199307720" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_553, onnx::MatMul_2382"/>
-			</rt_info>
+		<layer id="185" name="Constant_6686_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="99653980" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="onnx::Add_553" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="186" name="Constant_6686" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_553, onnx::MatMul_2382"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="187" name="/text_model/encoder/layers.1/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2616,18 +2997,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_553">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="onnx::Add_554" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_554"/>
-			</rt_info>
+		<layer id="188" name="/text_model/encoder/layers.1/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2641,18 +3019,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_554">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="input.23" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.23"/>
-			</rt_info>
+		<layer id="189" name="/text_model/encoder/layers.1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2666,39 +3041,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.23">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="Constant_3865" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="208744904" size="3072"/>
+		<layer id="190" name="Constant_7478_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="104372572" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="Constant_420" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="191" name="Constant_7478" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_420"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="Constant_522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="onnx::Mul_564" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_560, onnx::Div_563, onnx::Mul_564, onnx::Pow_557, onnx::ReduceMean_559, onnx::Sqrt_562, onnx::Sub_556"/>
-			</rt_info>
+		<layer id="193" name="/text_model/encoder/layers.2/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2710,28 +3099,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_564">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="Constant_3860" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="208747976" size="3072"/>
+		<layer id="194" name="Constant_7473_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="104374108" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="onnx::Add_565" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="195" name="Constant_7473" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_565"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="196" name="/text_model/encoder/layers.2/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2745,28 +3151,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_565">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="Constant_3861" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="208751048" size="3072"/>
+		<layer id="197" name="Constant_7474_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="104375644" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="onnx::MatMul_566" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="198" name="Constant_7474" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_566"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="/text_model/encoder/layers.2/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2780,30 +3203,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_566">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="Constant_3623" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="208754120" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_571, onnx::MatMul_2383, onnx::Mul_572, onnx::Mul_573, query_states.7"/>
-			</rt_info>
+		<layer id="200" name="Constant_7213_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="104377180" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="Multiply_3567" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="201" name="Constant_7213" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_571, onnx::MatMul_2383, onnx::Mul_572, onnx::Mul_573, query_states.7"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="202" name="Multiply_7157" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2823,21 +3258,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Constant_3862" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="211113416" size="3072"/>
+		<layer id="203" name="Constant_7475_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="105556828" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="query_states.7" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="204" name="Constant_7475" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_572, query_states.7"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="/text_model/encoder/layers.2/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2851,18 +3303,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.7">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="onnx::Transpose_621" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_621"/>
-			</rt_info>
+		<layer id="206" name="/text_model/encoder/layers.2/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="/text_model/encoder/layers.2/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2874,7 +3331,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_621">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -2882,21 +3339,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Constant_454" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_454"/>
-			</rt_info>
+		<layer id="208" name="Constant_568" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="onnx::Reshape_622" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_622"/>
-			</rt_info>
+		<layer id="209" name="/text_model/encoder/layers.2/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2909,7 +3360,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_622">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -2917,11 +3368,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="onnx::MatMul_632" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_632"/>
-			</rt_info>
+		<layer id="210" name="/text_model/encoder/layers.2/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="/text_model/encoder/layers.2/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2934,40 +3390,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_632">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="160" name="Constant_3863" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="211116488" size="3072"/>
+		<layer id="212" name="Constant_7476_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="105558364" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="Constant_3111" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="211119560" size="2359296"/>
+		<layer id="213" name="Constant_7476" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_576, onnx::MatMul_2384"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="Constant_6701_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="105559900" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="onnx::Add_576" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="215" name="Constant_6701" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_576, onnx::MatMul_2384"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="/text_model/encoder/layers.2/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2980,18 +3468,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_576">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="163" name="onnx::Reshape_577" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_577"/>
-			</rt_info>
+		<layer id="217" name="/text_model/encoder/layers.2/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3005,18 +3490,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_577">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="164" name="onnx::Transpose_590" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_590"/>
-			</rt_info>
+		<layer id="218" name="/text_model/encoder/layers.2/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="/text_model/encoder/layers.2/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3028,7 +3518,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_590">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -3036,21 +3526,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="Constant_442" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_442"/>
-			</rt_info>
+		<layer id="220" name="Constant_549" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="onnx::Reshape_591" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_591"/>
-			</rt_info>
+		<layer id="221" name="/text_model/encoder/layers.2/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3063,55 +3547,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_591">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="167" name="onnx::Transpose_642" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_642"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_642">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="168" name="Constant_465" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_465"/>
-			</rt_info>
+		<layer id="222" name="/text_model/encoder/layers.2/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="169" name="onnx::MatMul_654" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_654"/>
-			</rt_info>
+		<layer id="223" name="/text_model/encoder/layers.2/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -3121,18 +3577,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_654">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="onnx::Reshape_655" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_655"/>
-			</rt_info>
+		<layer id="224" name="/text_model/encoder/layers.2/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -3141,23 +3594,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_655">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="171" name="onnx::Add_666" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_666"/>
-			</rt_info>
+		<layer id="225" name="/text_model/encoder/layers.2/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="/text_model/encoder/layers.2/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -3169,7 +3627,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_666">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -3177,25 +3635,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="172" name="onnx::Add_667" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_667"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_667">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="173" name="onnx::Reshape_668" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_668"/>
-			</rt_info>
+		<layer id="227" name="/text_model/encoder/layers.2/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3211,7 +3652,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_668">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -3219,11 +3660,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="attn_weights.15" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.15"/>
-			</rt_info>
+		<layer id="228" name="/text_model/encoder/layers.2/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="/text_model/encoder/layers.2/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3236,18 +3682,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.15">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="attn_weights.19" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.19"/>
-			</rt_info>
+		<layer id="230" name="/text_model/encoder/layers.2/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -3256,40 +3699,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.19">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="Constant_3864" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="213478856" size="3072"/>
+		<layer id="231" name="Constant_7477_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="106739548" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="177" name="Constant_3118" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="213481928" size="2359296"/>
+		<layer id="232" name="Constant_7477" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_593, onnx::MatMul_2390"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="Constant_6708_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="106741084" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="178" name="onnx::Add_593" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="234" name="Constant_6708" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_593, onnx::MatMul_2390"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="235" name="/text_model/encoder/layers.2/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3302,18 +3777,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_593">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="179" name="onnx::Reshape_594" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_594"/>
-			</rt_info>
+		<layer id="236" name="/text_model/encoder/layers.2/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3327,18 +3799,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_594">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="onnx::Transpose_607" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_607"/>
-			</rt_info>
+		<layer id="237" name="/text_model/encoder/layers.2/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="/text_model/encoder/layers.2/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3350,7 +3827,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_607">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -3358,21 +3835,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="Constant_449" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_449"/>
-			</rt_info>
+		<layer id="239" name="Constant_559" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="onnx::Reshape_608" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_608"/>
-			</rt_info>
+		<layer id="240" name="/text_model/encoder/layers.2/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3385,7 +3856,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_608">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -3393,11 +3864,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="onnx::MatMul_652" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_652"/>
-			</rt_info>
+		<layer id="241" name="/text_model/encoder/layers.2/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="/text_model/encoder/layers.2/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3410,18 +3886,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_652">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="184" name="onnx::Reshape_679" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_679"/>
-			</rt_info>
+		<layer id="243" name="/text_model/encoder/layers.2/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -3435,18 +3908,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_679">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="185" name="onnx::Transpose_691" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_691"/>
-			</rt_info>
+		<layer id="244" name="/text_model/encoder/layers.2/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="/text_model/encoder/layers.2/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -3458,7 +3936,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_691">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -3466,21 +3944,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="Constant_481" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_481"/>
-			</rt_info>
+		<layer id="246" name="Constant_618" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="onnx::Reshape_692" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_692"/>
-			</rt_info>
+		<layer id="247" name="/text_model/encoder/layers.2/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3493,7 +3965,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_692">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -3501,11 +3973,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="onnx::MatMul_700" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_700"/>
-			</rt_info>
+		<layer id="248" name="/text_model/encoder/layers.2/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.2/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="/text_model/encoder/layers.2/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3518,30 +3995,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_700">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="Constant_3125" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="215841224" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_702, onnx::MatMul_2431"/>
-			</rt_info>
+		<layer id="250" name="Constant_6715_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="107920732" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="190" name="onnx::Add_702" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="251" name="Constant_6715" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_702, onnx::MatMul_2431"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="252" name="/text_model/encoder/layers.2/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3554,18 +4043,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_702">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="onnx::Add_703" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_703"/>
-			</rt_info>
+		<layer id="253" name="/text_model/encoder/layers.2/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3579,18 +4065,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_703">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="192" name="input.27" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.27"/>
-			</rt_info>
+		<layer id="254" name="/text_model/encoder/layers.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3604,49 +4087,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.27">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="Constant_3869" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="218200520" size="3072"/>
+		<layer id="255" name="Constant_7482_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="109100380" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="Constant_7482" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="Constant_3868" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="218203592" size="12288"/>
+		<layer id="257" name="Constant_7481_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="109101916" size="6144" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="195" name="Constant_489" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="258" name="Constant_7481" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_489"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="Constant_630" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="196" name="onnx::Mul_713" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_709, onnx::Div_712, onnx::Mul_713, onnx::Pow_706, onnx::ReduceMean_708, onnx::Sqrt_711, onnx::Sub_705"/>
-			</rt_info>
+		<layer id="260" name="/text_model/encoder/layers.2/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3658,28 +4175,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_713">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="197" name="Constant_3866" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="218215880" size="3072"/>
+		<layer id="261" name="Constant_7479_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="109108060" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="198" name="onnx::Add_714" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="262" name="Constant_7479" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_714"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="/text_model/encoder/layers.2/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3693,28 +4227,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_714">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="Constant_3867" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="218218952" size="3072"/>
+		<layer id="264" name="Constant_7480_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="109109596" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="onnx::MatMul_715" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="265" name="Constant_7480" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_715"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="/text_model/encoder/layers.2/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3728,30 +4279,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_715">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="Constant_3133" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="218222024" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_717, onnx::MatMul_2432"/>
-			</rt_info>
+		<layer id="267" name="Constant_6723_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="109111132" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="202" name="onnx::Add_717" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="268" name="Constant_6723" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_717, onnx::MatMul_2432"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="269" name="/text_model/encoder/layers.2/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3764,18 +4327,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_717">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="203" name="onnx::Mul_718" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_718"/>
-			</rt_info>
+		<layer id="270" name="/text_model/encoder/layers.2/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3789,56 +4349,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_718">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="204" name="Constant_3135" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="271" name="Constant_6725_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="205" name="onnx::MatMul_722" type="Swish" version="opset4">
+		<layer id="272" name="Constant_6725" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_722, onnx::Mul_721"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="273" name="/text_model/encoder/layers.2/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_722">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="206" name="Constant_3142" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="227659208" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_724, onnx::MatMul_2433"/>
-			</rt_info>
+		<layer id="274" name="Constant_6732_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="113829724" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="207" name="onnx::Add_724" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="275" name="Constant_6732" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_724, onnx::MatMul_2433"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="276" name="/text_model/encoder/layers.2/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3851,18 +4432,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_724">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="onnx::Add_725" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_725"/>
-			</rt_info>
+		<layer id="277" name="/text_model/encoder/layers.2/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3876,18 +4454,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_725">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="209" name="input.31" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.31"/>
-			</rt_info>
+		<layer id="278" name="/text_model/encoder/layers.2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3901,39 +4476,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.31">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="Constant_3875" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="237096392" size="3072"/>
+		<layer id="279" name="Constant_7488_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="118548316" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="Constant_511" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="280" name="Constant_7488" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_511"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="Constant_652" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="onnx::Mul_735" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_731, onnx::Div_734, onnx::Mul_735, onnx::Pow_728, onnx::ReduceMean_730, onnx::Sqrt_733, onnx::Sub_727"/>
-			</rt_info>
+		<layer id="282" name="/text_model/encoder/layers.3/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3945,28 +4534,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_735">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="Constant_3870" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="237099464" size="3072"/>
+		<layer id="283" name="Constant_7483_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="118549852" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="214" name="onnx::Add_736" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="284" name="Constant_7483" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_736"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="/text_model/encoder/layers.3/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3980,28 +4586,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_736">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="215" name="Constant_3871" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="237102536" size="3072"/>
+		<layer id="286" name="Constant_7484_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="118551388" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="216" name="onnx::MatMul_737" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="287" name="Constant_7484" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_737"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="/text_model/encoder/layers.3/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4015,30 +4638,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_737">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="217" name="Constant_3629" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="237105608" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_742, onnx::MatMul_2434, onnx::Mul_743, onnx::Mul_744, query_states.11"/>
-			</rt_info>
+		<layer id="289" name="Constant_7219_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="118552924" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="218" name="Multiply_3571" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="290" name="Constant_7219" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_742, onnx::MatMul_2434, onnx::Mul_743, onnx::Mul_744, query_states.11"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="291" name="Multiply_7161" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4058,58 +4693,80 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="219" name="Constant_3872" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="239464904" size="3072"/>
+		<layer id="292" name="Constant_7485_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="119732572" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="220" name="query_states.11" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="293" name="Constant_7485" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_743, query_states.11"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.11">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="221" name="onnx::Transpose_792" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_792"/>
-			</rt_info>
+		<layer id="294" name="/text_model/encoder/layers.3/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_792">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Mul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="/text_model/encoder/layers.3/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="/text_model/encoder/layers.3/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -4117,21 +4774,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="222" name="Constant_545" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_545"/>
-			</rt_info>
+		<layer id="297" name="Constant_698" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="onnx::Reshape_793" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_793"/>
-			</rt_info>
+		<layer id="298" name="/text_model/encoder/layers.3/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4144,7 +4795,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_793">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -4152,11 +4803,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="onnx::MatMul_803" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_803"/>
-			</rt_info>
+		<layer id="299" name="/text_model/encoder/layers.3/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="/text_model/encoder/layers.3/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4169,40 +4825,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_803">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="Constant_3873" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="239467976" size="3072"/>
+		<layer id="301" name="Constant_7486_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="119734108" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="Constant_3157" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="239471048" size="2359296"/>
+		<layer id="302" name="Constant_7486" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_747, onnx::MatMul_2435"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="303" name="Constant_6747_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="119735644" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="onnx::Add_747" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="304" name="Constant_6747" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_747, onnx::MatMul_2435"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="305" name="/text_model/encoder/layers.3/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4215,18 +4903,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_747">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="228" name="onnx::Reshape_748" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_748"/>
-			</rt_info>
+		<layer id="306" name="/text_model/encoder/layers.3/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4240,18 +4925,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_748">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="onnx::Transpose_761" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_761"/>
-			</rt_info>
+		<layer id="307" name="/text_model/encoder/layers.3/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="/text_model/encoder/layers.3/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4263,7 +4953,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_761">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -4271,21 +4961,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="Constant_533" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_533"/>
-			</rt_info>
+		<layer id="309" name="Constant_679" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="onnx::Reshape_762" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_762"/>
-			</rt_info>
+		<layer id="310" name="/text_model/encoder/layers.3/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4298,55 +4982,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_762">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="232" name="onnx::Transpose_813" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_813"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_813">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="233" name="Constant_556" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_556"/>
-			</rt_info>
+		<layer id="311" name="/text_model/encoder/layers.3/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="onnx::MatMul_825" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_825"/>
-			</rt_info>
+		<layer id="312" name="/text_model/encoder/layers.3/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -4356,18 +5012,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_825">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="onnx::Reshape_826" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_826"/>
-			</rt_info>
+		<layer id="313" name="/text_model/encoder/layers.3/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -4376,23 +5029,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_826">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="onnx::Add_837" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_837"/>
-			</rt_info>
+		<layer id="314" name="/text_model/encoder/layers.3/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="/text_model/encoder/layers.3/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -4404,7 +5062,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_837">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -4412,25 +5070,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="onnx::Add_838" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_838"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_838">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="238" name="onnx::Reshape_839" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_839"/>
-			</rt_info>
+		<layer id="316" name="/text_model/encoder/layers.3/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4446,7 +5087,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_839">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -4454,11 +5095,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="239" name="attn_weights.23" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.23"/>
-			</rt_info>
+		<layer id="317" name="/text_model/encoder/layers.3/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="/text_model/encoder/layers.3/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4471,18 +5117,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.23">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="attn_weights.27" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.27"/>
-			</rt_info>
+		<layer id="319" name="/text_model/encoder/layers.3/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -4491,40 +5134,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.27">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="241" name="Constant_3874" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="241830344" size="3072"/>
+		<layer id="320" name="Constant_7487_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="120915292" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="242" name="Constant_3164" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="241833416" size="2359296"/>
+		<layer id="321" name="Constant_7487" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_764, onnx::MatMul_2441"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="Constant_6754_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="120916828" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="243" name="onnx::Add_764" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="323" name="Constant_6754" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_764, onnx::MatMul_2441"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="324" name="/text_model/encoder/layers.3/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4537,18 +5212,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_764">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="244" name="onnx::Reshape_765" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_765"/>
-			</rt_info>
+		<layer id="325" name="/text_model/encoder/layers.3/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4562,18 +5234,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_765">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="onnx::Transpose_778" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_778"/>
-			</rt_info>
+		<layer id="326" name="/text_model/encoder/layers.3/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="/text_model/encoder/layers.3/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4585,7 +5262,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_778">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -4593,21 +5270,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="Constant_540" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_540"/>
-			</rt_info>
+		<layer id="328" name="Constant_689" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="onnx::Reshape_779" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_779"/>
-			</rt_info>
+		<layer id="329" name="/text_model/encoder/layers.3/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4620,7 +5291,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_779">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -4628,11 +5299,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="onnx::MatMul_823" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_823"/>
-			</rt_info>
+		<layer id="330" name="/text_model/encoder/layers.3/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="331" name="/text_model/encoder/layers.3/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4645,18 +5321,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_823">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="249" name="onnx::Reshape_850" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_850"/>
-			</rt_info>
+		<layer id="332" name="/text_model/encoder/layers.3/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -4670,18 +5343,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_850">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="250" name="onnx::Transpose_862" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_862"/>
-			</rt_info>
+		<layer id="333" name="/text_model/encoder/layers.3/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="/text_model/encoder/layers.3/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -4693,7 +5371,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_862">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -4701,21 +5379,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="Constant_572" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_572"/>
-			</rt_info>
+		<layer id="335" name="Constant_748" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="onnx::Reshape_863" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_863"/>
-			</rt_info>
+		<layer id="336" name="/text_model/encoder/layers.3/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4728,7 +5400,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_863">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -4736,11 +5408,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="onnx::MatMul_871" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_871"/>
-			</rt_info>
+		<layer id="337" name="/text_model/encoder/layers.3/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.3/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="/text_model/encoder/layers.3/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4753,30 +5430,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_871">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="Constant_3171" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="244192712" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_873, onnx::MatMul_2482"/>
-			</rt_info>
+		<layer id="339" name="Constant_6761_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="122096476" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="onnx::Add_873" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="340" name="Constant_6761" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_873, onnx::MatMul_2482"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="341" name="/text_model/encoder/layers.3/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4789,18 +5478,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_873">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="onnx::Add_874" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_874"/>
-			</rt_info>
+		<layer id="342" name="/text_model/encoder/layers.3/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4814,18 +5500,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_874">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="input.35" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.35"/>
-			</rt_info>
+		<layer id="343" name="/text_model/encoder/layers.3/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4839,49 +5522,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.35">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="Constant_3879" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="246552008" size="3072"/>
+		<layer id="344" name="Constant_7492_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="123276124" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="Constant_7492" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="Constant_3878" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="246555080" size="12288"/>
+		<layer id="346" name="Constant_7491_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="123277660" size="6144" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="Constant_580" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="347" name="Constant_7491" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_580"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="Constant_760" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="onnx::Mul_884" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_880, onnx::Div_883, onnx::Mul_884, onnx::Pow_877, onnx::ReduceMean_879, onnx::Sqrt_882, onnx::Sub_876"/>
-			</rt_info>
+		<layer id="349" name="/text_model/encoder/layers.3/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4893,28 +5610,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_884">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="Constant_3876" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="246567368" size="3072"/>
+		<layer id="350" name="Constant_7489_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="123283804" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="onnx::Add_885" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="351" name="Constant_7489" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_885"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="/text_model/encoder/layers.3/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4928,28 +5662,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_885">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="Constant_3877" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="246570440" size="3072"/>
+		<layer id="353" name="Constant_7490_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="123285340" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="onnx::MatMul_886" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="354" name="Constant_7490" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_886"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="/text_model/encoder/layers.3/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4963,30 +5714,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_886">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="Constant_3179" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="246573512" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_888, onnx::MatMul_2483"/>
-			</rt_info>
+		<layer id="356" name="Constant_6769_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="123286876" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="onnx::Add_888" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="357" name="Constant_6769" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_888, onnx::MatMul_2483"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="358" name="/text_model/encoder/layers.3/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4999,18 +5762,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_888">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="onnx::Mul_889" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_889"/>
-			</rt_info>
+		<layer id="359" name="/text_model/encoder/layers.3/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5024,56 +5784,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_889">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="Constant_3181" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="360" name="Constant_6771_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="270" name="onnx::MatMul_893" type="Swish" version="opset4">
+		<layer id="361" name="Constant_6771" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_893, onnx::Mul_892"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="362" name="/text_model/encoder/layers.3/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_893">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="Constant_3188" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="256010696" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_895, onnx::MatMul_2484"/>
-			</rt_info>
+		<layer id="363" name="Constant_6778_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="128005468" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="onnx::Add_895" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="364" name="Constant_6778" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_895, onnx::MatMul_2484"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="365" name="/text_model/encoder/layers.3/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5086,18 +5867,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_895">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="onnx::Add_896" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_896"/>
-			</rt_info>
+		<layer id="366" name="/text_model/encoder/layers.3/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5111,18 +5889,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_896">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="274" name="input.39" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.39"/>
-			</rt_info>
+		<layer id="367" name="/text_model/encoder/layers.3/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5136,39 +5911,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.39">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.3/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="Constant_3885" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="265447880" size="3072"/>
+		<layer id="368" name="Constant_7498_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="132724060" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="Constant_602" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="369" name="Constant_7498" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_602"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="Constant_782" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="onnx::Mul_906" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_902, onnx::Div_905, onnx::Mul_906, onnx::Pow_899, onnx::ReduceMean_901, onnx::Sqrt_904, onnx::Sub_898"/>
-			</rt_info>
+		<layer id="371" name="/text_model/encoder/layers.4/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5180,28 +5969,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_906">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="Constant_3880" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="265450952" size="3072"/>
+		<layer id="372" name="Constant_7493_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="132725596" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="onnx::Add_907" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="373" name="Constant_7493" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_907"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="/text_model/encoder/layers.4/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5215,28 +6021,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_907">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="Constant_3881" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="265454024" size="3072"/>
+		<layer id="375" name="Constant_7494_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="132727132" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="onnx::MatMul_908" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="376" name="Constant_7494" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_908"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="/text_model/encoder/layers.4/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5250,30 +6073,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_908">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="Constant_3635" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="265457096" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_913, onnx::MatMul_2485, onnx::Mul_914, onnx::Mul_915, query_states.15"/>
-			</rt_info>
+		<layer id="378" name="Constant_7225_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="132728668" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="Multiply_3575" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="379" name="Constant_7225" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_913, onnx::MatMul_2485, onnx::Mul_914, onnx::Mul_915, query_states.15"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="380" name="Multiply_7165" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5293,21 +6128,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="Constant_3882" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="267816392" size="3072"/>
+		<layer id="381" name="Constant_7495_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="133908316" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="query_states.15" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="382" name="Constant_7495" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_914, query_states.15"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="383" name="/text_model/encoder/layers.4/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5321,18 +6173,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.15">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="onnx::Transpose_963" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_963"/>
-			</rt_info>
+		<layer id="384" name="/text_model/encoder/layers.4/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="/text_model/encoder/layers.4/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5344,7 +6201,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_963">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -5352,21 +6209,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="Constant_636" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_636"/>
-			</rt_info>
+		<layer id="386" name="Constant_828" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="onnx::Reshape_964" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_964"/>
-			</rt_info>
+		<layer id="387" name="/text_model/encoder/layers.4/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5379,7 +6230,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_964">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -5387,11 +6238,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="onnx::MatMul_974" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_974"/>
-			</rt_info>
+		<layer id="388" name="/text_model/encoder/layers.4/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="/text_model/encoder/layers.4/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5404,40 +6260,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_974">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="Constant_3883" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="267819464" size="3072"/>
+		<layer id="390" name="Constant_7496_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="133909852" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="Constant_3203" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="267822536" size="2359296"/>
+		<layer id="391" name="Constant_7496" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_918, onnx::MatMul_2486"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="392" name="Constant_6793_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="133911388" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="onnx::Add_918" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="393" name="Constant_6793" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_918, onnx::MatMul_2486"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="394" name="/text_model/encoder/layers.4/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5450,18 +6338,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_918">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="onnx::Reshape_919" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_919"/>
-			</rt_info>
+		<layer id="395" name="/text_model/encoder/layers.4/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5475,18 +6360,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_919">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="onnx::Transpose_932" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_932"/>
-			</rt_info>
+		<layer id="396" name="/text_model/encoder/layers.4/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="/text_model/encoder/layers.4/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5498,7 +6388,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_932">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -5506,21 +6396,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="Constant_624" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_624"/>
-			</rt_info>
+		<layer id="398" name="Constant_809" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="onnx::Reshape_933" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_933"/>
-			</rt_info>
+		<layer id="399" name="/text_model/encoder/layers.4/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5533,55 +6417,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_933">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="297" name="onnx::Transpose_984" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_984"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_984">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="298" name="Constant_647" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_647"/>
-			</rt_info>
+		<layer id="400" name="/text_model/encoder/layers.4/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="onnx::MatMul_996" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_996"/>
-			</rt_info>
+		<layer id="401" name="/text_model/encoder/layers.4/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -5591,18 +6447,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_996">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="onnx::Reshape_997" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_997"/>
-			</rt_info>
+		<layer id="402" name="/text_model/encoder/layers.4/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -5611,23 +6464,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_997">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="onnx::Add_1008" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1008"/>
-			</rt_info>
+		<layer id="403" name="/text_model/encoder/layers.4/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="404" name="/text_model/encoder/layers.4/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -5639,7 +6497,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1008">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -5647,33 +6505,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="302" name="onnx::Add_1009" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1009"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_1009">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="303" name="onnx::Reshape_1010" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1010"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-				<port id="1" precision="FP32">
+		<layer id="405" name="/text_model/encoder/layers.4/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>12</dim>
+					<dim>77</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>77</dim>
@@ -5681,7 +6522,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1010">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -5689,11 +6530,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="attn_weights.31" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.31"/>
-			</rt_info>
+		<layer id="406" name="/text_model/encoder/layers.4/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="/text_model/encoder/layers.4/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5706,18 +6552,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.31">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="attn_weights.35" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.35"/>
-			</rt_info>
+		<layer id="408" name="/text_model/encoder/layers.4/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -5726,40 +6569,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.35">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="Constant_3884" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="270181832" size="3072"/>
+		<layer id="409" name="Constant_7497_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="135091036" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="Constant_3210" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="270184904" size="2359296"/>
+		<layer id="410" name="Constant_7497" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_935, onnx::MatMul_2492"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="Constant_6800_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="135092572" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="308" name="onnx::Add_935" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="412" name="Constant_6800" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_935, onnx::MatMul_2492"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="413" name="/text_model/encoder/layers.4/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5772,18 +6647,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_935">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="309" name="onnx::Reshape_936" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_936"/>
-			</rt_info>
+		<layer id="414" name="/text_model/encoder/layers.4/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5797,18 +6669,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_936">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="onnx::Transpose_949" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_949"/>
-			</rt_info>
+		<layer id="415" name="/text_model/encoder/layers.4/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="/text_model/encoder/layers.4/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5820,7 +6697,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_949">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -5828,21 +6705,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="Constant_631" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_631"/>
-			</rt_info>
+		<layer id="417" name="Constant_819" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="onnx::Reshape_950" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_950"/>
-			</rt_info>
+		<layer id="418" name="/text_model/encoder/layers.4/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5855,7 +6726,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_950">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -5863,11 +6734,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="313" name="onnx::MatMul_994" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_994"/>
-			</rt_info>
+		<layer id="419" name="/text_model/encoder/layers.4/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="/text_model/encoder/layers.4/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5880,18 +6756,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_994">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="314" name="onnx::Reshape_1021" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1021"/>
-			</rt_info>
+		<layer id="421" name="/text_model/encoder/layers.4/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -5905,18 +6778,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1021">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="onnx::Transpose_1033" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1033"/>
-			</rt_info>
+		<layer id="422" name="/text_model/encoder/layers.4/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="/text_model/encoder/layers.4/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -5928,7 +6806,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1033">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -5936,21 +6814,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="Constant_663" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_663"/>
-			</rt_info>
+		<layer id="424" name="Constant_878" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="onnx::Reshape_1034" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1034"/>
-			</rt_info>
+		<layer id="425" name="/text_model/encoder/layers.4/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5963,7 +6835,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1034">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -5971,11 +6843,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="onnx::MatMul_1042" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1042"/>
-			</rt_info>
+		<layer id="426" name="/text_model/encoder/layers.4/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.4/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="/text_model/encoder/layers.4/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5988,30 +6865,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1042">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="319" name="Constant_3217" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="272544200" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1044, onnx::MatMul_2533"/>
-			</rt_info>
+		<layer id="428" name="Constant_6807_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="136272220" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="320" name="onnx::Add_1044" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="429" name="Constant_6807" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1044, onnx::MatMul_2533"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="430" name="/text_model/encoder/layers.4/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6024,18 +6913,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1044">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="321" name="onnx::Add_1045" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1045"/>
-			</rt_info>
+		<layer id="431" name="/text_model/encoder/layers.4/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6049,18 +6935,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1045">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="322" name="input.43" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.43"/>
-			</rt_info>
+		<layer id="432" name="/text_model/encoder/layers.4/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6074,49 +6957,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.43">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="323" name="Constant_3889" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="274903496" size="3072"/>
+		<layer id="433" name="Constant_7502_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="137451868" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="324" name="Constant_3888" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="274906568" size="12288"/>
+		<layer id="434" name="Constant_7502" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="Constant_7501_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="137453404" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="325" name="Constant_671" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="436" name="Constant_7501" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_671"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="Constant_890" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="onnx::Mul_1055" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1051, onnx::Div_1054, onnx::Mul_1055, onnx::Pow_1048, onnx::ReduceMean_1050, onnx::Sqrt_1053, onnx::Sub_1047"/>
-			</rt_info>
+		<layer id="438" name="/text_model/encoder/layers.4/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6128,28 +7045,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1055">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="327" name="Constant_3886" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="274918856" size="3072"/>
+		<layer id="439" name="Constant_7499_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="137459548" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="328" name="onnx::Add_1056" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="440" name="Constant_7499" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1056"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="/text_model/encoder/layers.4/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6163,28 +7097,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1056">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="329" name="Constant_3887" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="274921928" size="3072"/>
+		<layer id="442" name="Constant_7500_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="137461084" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="onnx::MatMul_1057" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="443" name="Constant_7500" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1057"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="/text_model/encoder/layers.4/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6198,30 +7149,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1057">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="Constant_3225" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="274925000" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1059, onnx::MatMul_2534"/>
-			</rt_info>
+		<layer id="445" name="Constant_6815_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="137462620" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="onnx::Add_1059" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="446" name="Constant_6815" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1059, onnx::MatMul_2534"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="447" name="/text_model/encoder/layers.4/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6234,18 +7197,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1059">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="333" name="onnx::Mul_1060" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1060"/>
-			</rt_info>
+		<layer id="448" name="/text_model/encoder/layers.4/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6259,56 +7219,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1060">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="Constant_3227" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="449" name="Constant_6817_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="335" name="onnx::MatMul_1064" type="Swish" version="opset4">
+		<layer id="450" name="Constant_6817" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1064, onnx::Mul_1063"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="451" name="/text_model/encoder/layers.4/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1064">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="Constant_3234" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="284362184" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1066, onnx::MatMul_2535"/>
-			</rt_info>
+		<layer id="452" name="Constant_6824_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="142181212" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="onnx::Add_1066" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="453" name="Constant_6824" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1066, onnx::MatMul_2535"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="454" name="/text_model/encoder/layers.4/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6321,18 +7302,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1066">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="onnx::Add_1067" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1067"/>
-			</rt_info>
+		<layer id="455" name="/text_model/encoder/layers.4/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6346,18 +7324,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1067">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="input.47" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.47"/>
-			</rt_info>
+		<layer id="456" name="/text_model/encoder/layers.4/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6371,39 +7346,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.47">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.4/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="Constant_3895" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="293799368" size="3072"/>
+		<layer id="457" name="Constant_7508_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="146899804" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="Constant_693" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="458" name="Constant_7508" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_693"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="459" name="Constant_912" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="onnx::Mul_1077" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1073, onnx::Div_1076, onnx::Mul_1077, onnx::Pow_1070, onnx::ReduceMean_1072, onnx::Sqrt_1075, onnx::Sub_1069"/>
-			</rt_info>
+		<layer id="460" name="/text_model/encoder/layers.5/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6415,28 +7404,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1077">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="Constant_3890" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="293802440" size="3072"/>
+		<layer id="461" name="Constant_7503_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="146901340" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="onnx::Add_1078" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="462" name="Constant_7503" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1078"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="/text_model/encoder/layers.5/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6450,32 +7456,49 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1078">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="345" name="Constant_3891" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="293805512" size="3072"/>
+		<layer id="464" name="Constant_7504_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="146902876" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="346" name="onnx::MatMul_1079" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="465" name="Constant_7504" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1079"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="/text_model/encoder/layers.5/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
@@ -6485,30 +7508,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1079">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="347" name="Constant_3641" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="293808584" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1084, onnx::MatMul_2536, onnx::Mul_1085, onnx::Mul_1086, query_states.19"/>
-			</rt_info>
+		<layer id="467" name="Constant_7231_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="146904412" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="Multiply_3579" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="468" name="Constant_7231" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1084, onnx::MatMul_2536, onnx::Mul_1085, onnx::Mul_1086, query_states.19"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="469" name="Multiply_7169" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6528,21 +7563,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="Constant_3892" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="296167880" size="3072"/>
+		<layer id="470" name="Constant_7505_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="148084060" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="350" name="query_states.19" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="471" name="Constant_7505" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1085, query_states.19"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="472" name="/text_model/encoder/layers.5/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6556,18 +7608,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.19">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="351" name="onnx::Transpose_1134" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1134"/>
-			</rt_info>
+		<layer id="473" name="/text_model/encoder/layers.5/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="/text_model/encoder/layers.5/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6579,7 +7636,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1134">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -6587,21 +7644,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="352" name="Constant_727" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_727"/>
-			</rt_info>
+		<layer id="475" name="Constant_958" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="353" name="onnx::Reshape_1135" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1135"/>
-			</rt_info>
+		<layer id="476" name="/text_model/encoder/layers.5/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6614,7 +7665,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1135">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -6622,11 +7673,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="onnx::MatMul_1145" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1145"/>
-			</rt_info>
+		<layer id="477" name="/text_model/encoder/layers.5/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="/text_model/encoder/layers.5/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6639,40 +7695,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1145">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="Constant_3893" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="296170952" size="3072"/>
+		<layer id="479" name="Constant_7506_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="148085596" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="Constant_3249" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="296174024" size="2359296"/>
+		<layer id="480" name="Constant_7506" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1089, onnx::MatMul_2537"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="Constant_6839_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="148087132" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="onnx::Add_1089" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="482" name="Constant_6839" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1089, onnx::MatMul_2537"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="483" name="/text_model/encoder/layers.5/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6685,18 +7773,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1089">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="onnx::Reshape_1090" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1090"/>
-			</rt_info>
+		<layer id="484" name="/text_model/encoder/layers.5/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6710,18 +7795,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1090">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="onnx::Transpose_1103" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1103"/>
-			</rt_info>
+		<layer id="485" name="/text_model/encoder/layers.5/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="/text_model/encoder/layers.5/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6733,7 +7823,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1103">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -6741,21 +7831,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="Constant_715" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_715"/>
-			</rt_info>
+		<layer id="487" name="Constant_939" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="onnx::Reshape_1104" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1104"/>
-			</rt_info>
+		<layer id="488" name="/text_model/encoder/layers.5/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6768,55 +7852,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1104">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="362" name="onnx::Transpose_1155" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1155"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1155">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="363" name="Constant_738" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_738"/>
-			</rt_info>
+		<layer id="489" name="/text_model/encoder/layers.5/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="onnx::MatMul_1167" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1167"/>
-			</rt_info>
+		<layer id="490" name="/text_model/encoder/layers.5/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -6826,18 +7882,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1167">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="onnx::Reshape_1168" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1168"/>
-			</rt_info>
+		<layer id="491" name="/text_model/encoder/layers.5/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -6846,23 +7899,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1168">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="366" name="onnx::Add_1179" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1179"/>
-			</rt_info>
+		<layer id="492" name="/text_model/encoder/layers.5/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="/text_model/encoder/layers.5/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -6874,7 +7932,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1179">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -6882,25 +7940,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="onnx::Add_1180" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1180"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_1180">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="368" name="onnx::Reshape_1181" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1181"/>
-			</rt_info>
+		<layer id="494" name="/text_model/encoder/layers.5/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6916,7 +7957,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1181">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -6924,11 +7965,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="attn_weights.39" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.39"/>
-			</rt_info>
+		<layer id="495" name="/text_model/encoder/layers.5/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="496" name="/text_model/encoder/layers.5/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6941,18 +7987,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.39">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="attn_weights.43" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.43"/>
-			</rt_info>
+		<layer id="497" name="/text_model/encoder/layers.5/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -6961,40 +8004,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.43">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="Constant_3894" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="298533320" size="3072"/>
+		<layer id="498" name="Constant_7507_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="149266780" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="Constant_3256" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="298536392" size="2359296"/>
+		<layer id="499" name="Constant_7507" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1106, onnx::MatMul_2543"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="Constant_6846_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="149268316" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="onnx::Add_1106" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="501" name="Constant_6846" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1106, onnx::MatMul_2543"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="502" name="/text_model/encoder/layers.5/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7007,18 +8082,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1106">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="onnx::Reshape_1107" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1107"/>
-			</rt_info>
+		<layer id="503" name="/text_model/encoder/layers.5/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7032,18 +8104,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1107">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="onnx::Transpose_1120" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1120"/>
-			</rt_info>
+		<layer id="504" name="/text_model/encoder/layers.5/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="/text_model/encoder/layers.5/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7055,7 +8132,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1120">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -7063,21 +8140,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="Constant_722" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_722"/>
-			</rt_info>
+		<layer id="506" name="Constant_949" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="onnx::Reshape_1121" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1121"/>
-			</rt_info>
+		<layer id="507" name="/text_model/encoder/layers.5/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7090,7 +8161,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1121">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -7098,11 +8169,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="onnx::MatMul_1165" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1165"/>
-			</rt_info>
+		<layer id="508" name="/text_model/encoder/layers.5/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="/text_model/encoder/layers.5/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7115,18 +8191,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1165">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="onnx::Reshape_1192" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1192"/>
-			</rt_info>
+		<layer id="510" name="/text_model/encoder/layers.5/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -7140,18 +8213,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1192">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="onnx::Transpose_1204" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1204"/>
-			</rt_info>
+		<layer id="511" name="/text_model/encoder/layers.5/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="/text_model/encoder/layers.5/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -7163,7 +8241,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1204">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -7171,21 +8249,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="Constant_754" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_754"/>
-			</rt_info>
+		<layer id="513" name="Constant_1008" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="onnx::Reshape_1205" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1205"/>
-			</rt_info>
+		<layer id="514" name="/text_model/encoder/layers.5/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7198,7 +8270,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1205">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -7206,11 +8278,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="onnx::MatMul_1213" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1213"/>
-			</rt_info>
+		<layer id="515" name="/text_model/encoder/layers.5/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.5/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="516" name="/text_model/encoder/layers.5/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7223,30 +8300,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1213">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="Constant_3263" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="300895688" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1215, onnx::MatMul_2584"/>
-			</rt_info>
+		<layer id="517" name="Constant_6853_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="150447964" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="onnx::Add_1215" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="518" name="Constant_6853" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1215, onnx::MatMul_2584"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="519" name="/text_model/encoder/layers.5/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7259,18 +8348,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1215">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="onnx::Add_1216" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1216"/>
-			</rt_info>
+		<layer id="520" name="/text_model/encoder/layers.5/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7284,18 +8370,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1216">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="input.51" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.51"/>
-			</rt_info>
+		<layer id="521" name="/text_model/encoder/layers.5/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7309,49 +8392,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.51">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="Constant_3899" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="303254984" size="3072"/>
+		<layer id="522" name="Constant_7512_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="151627612" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="Constant_3898" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="303258056" size="12288"/>
-			<output>
-				<port id="0" precision="FP32">
+		<layer id="523" name="Constant_7512" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>3072</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="Constant_762" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="524" name="Constant_7511_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="151629148" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="525" name="Constant_7511" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_762"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="Constant_1020" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="onnx::Mul_1226" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1222, onnx::Div_1225, onnx::Mul_1226, onnx::Pow_1219, onnx::ReduceMean_1221, onnx::Sqrt_1224, onnx::Sub_1218"/>
-			</rt_info>
+		<layer id="527" name="/text_model/encoder/layers.5/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7363,28 +8480,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1226">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="Constant_3896" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="303270344" size="3072"/>
+		<layer id="528" name="Constant_7509_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="151635292" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="onnx::Add_1227" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="529" name="Constant_7509" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1227"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="/text_model/encoder/layers.5/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7398,28 +8532,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1227">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="Constant_3897" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="303273416" size="3072"/>
+		<layer id="531" name="Constant_7510_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="151636828" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="onnx::MatMul_1228" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="532" name="Constant_7510" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1228"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="/text_model/encoder/layers.5/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7433,30 +8584,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1228">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="Constant_3271" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="303276488" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1230, onnx::MatMul_2585"/>
-			</rt_info>
+		<layer id="534" name="Constant_6861_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="151638364" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="onnx::Add_1230" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="535" name="Constant_6861" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1230, onnx::MatMul_2585"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="536" name="/text_model/encoder/layers.5/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7469,18 +8632,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1230">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="onnx::Mul_1231" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1231"/>
-			</rt_info>
+		<layer id="537" name="/text_model/encoder/layers.5/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7494,56 +8654,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1231">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="Constant_3273" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="538" name="Constant_6863_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="400" name="onnx::MatMul_1235" type="Swish" version="opset4">
+		<layer id="539" name="Constant_6863" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1235, onnx::Mul_1234"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="540" name="/text_model/encoder/layers.5/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1235">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="Constant_3280" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="312713672" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1237, onnx::MatMul_2586"/>
-			</rt_info>
+		<layer id="541" name="Constant_6870_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="156356956" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="onnx::Add_1237" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="542" name="Constant_6870" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1237, onnx::MatMul_2586"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="543" name="/text_model/encoder/layers.5/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7556,18 +8737,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1237">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="onnx::Add_1238" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1238"/>
-			</rt_info>
+		<layer id="544" name="/text_model/encoder/layers.5/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7581,18 +8759,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1238">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="input.55" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.55"/>
-			</rt_info>
+		<layer id="545" name="/text_model/encoder/layers.5/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7606,39 +8781,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.55">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.5/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="Constant_3905" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="322150856" size="3072"/>
+		<layer id="546" name="Constant_7518_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="161075548" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="Constant_784" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="547" name="Constant_7518" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_784"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="Constant_1042" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="onnx::Mul_1248" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1244, onnx::Div_1247, onnx::Mul_1248, onnx::Pow_1241, onnx::ReduceMean_1243, onnx::Sqrt_1246, onnx::Sub_1240"/>
-			</rt_info>
+		<layer id="549" name="/text_model/encoder/layers.6/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7650,28 +8839,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1248">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="Constant_3900" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="322153928" size="3072"/>
+		<layer id="550" name="Constant_7513_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="161077084" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="409" name="onnx::Add_1249" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="551" name="Constant_7513" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1249"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="/text_model/encoder/layers.6/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7685,28 +8891,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1249">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="Constant_3901" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="322157000" size="3072"/>
+		<layer id="553" name="Constant_7514_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="161078620" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="onnx::MatMul_1250" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="554" name="Constant_7514" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1250"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="555" name="/text_model/encoder/layers.6/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7720,30 +8943,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1250">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="Constant_3647" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="322160072" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1255, onnx::MatMul_2587, onnx::Mul_1256, onnx::Mul_1257, query_states.23"/>
-			</rt_info>
+		<layer id="556" name="Constant_7237_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="161080156" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="413" name="Multiply_3583" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="557" name="Constant_7237" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1255, onnx::MatMul_2587, onnx::Mul_1256, onnx::Mul_1257, query_states.23"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="558" name="Multiply_7173" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7763,21 +8998,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="414" name="Constant_3902" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="324519368" size="3072"/>
+		<layer id="559" name="Constant_7515_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="162259804" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="415" name="query_states.23" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="560" name="Constant_7515" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1256, query_states.23"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="/text_model/encoder/layers.6/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7791,18 +9043,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.23">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="onnx::Transpose_1305" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1305"/>
-			</rt_info>
+		<layer id="562" name="/text_model/encoder/layers.6/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="/text_model/encoder/layers.6/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7814,7 +9071,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1305">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -7822,21 +9079,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="417" name="Constant_818" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_818"/>
-			</rt_info>
+		<layer id="564" name="Constant_1088" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="onnx::Reshape_1306" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1306"/>
-			</rt_info>
+		<layer id="565" name="/text_model/encoder/layers.6/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7849,7 +9100,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1306">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -7857,11 +9108,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="419" name="onnx::MatMul_1316" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1316"/>
-			</rt_info>
+		<layer id="566" name="/text_model/encoder/layers.6/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="/text_model/encoder/layers.6/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7874,40 +9130,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1316">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="420" name="Constant_3903" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="324522440" size="3072"/>
+		<layer id="568" name="Constant_7516_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="162261340" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="421" name="Constant_3295" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="324525512" size="2359296"/>
+		<layer id="569" name="Constant_7516" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1260, onnx::MatMul_2588"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="Constant_6885_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="162262876" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="422" name="onnx::Add_1260" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="571" name="Constant_6885" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1260, onnx::MatMul_2588"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="572" name="/text_model/encoder/layers.6/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7920,18 +9208,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1260">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="423" name="onnx::Reshape_1261" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1261"/>
-			</rt_info>
+		<layer id="573" name="/text_model/encoder/layers.6/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7945,18 +9230,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1261">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="424" name="onnx::Transpose_1274" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1274"/>
-			</rt_info>
+		<layer id="574" name="/text_model/encoder/layers.6/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="575" name="/text_model/encoder/layers.6/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7968,7 +9258,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1274">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -7976,21 +9266,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="Constant_806" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_806"/>
-			</rt_info>
+		<layer id="576" name="Constant_1069" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="426" name="onnx::Reshape_1275" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1275"/>
-			</rt_info>
+		<layer id="577" name="/text_model/encoder/layers.6/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8003,7 +9287,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1275">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -8011,11 +9295,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="onnx::Transpose_1326" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1326"/>
-			</rt_info>
+		<layer id="578" name="/text_model/encoder/layers.6/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_5_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="/text_model/encoder/layers.6/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8028,51 +9317,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1326">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="428" name="Constant_829" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_829"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="429" name="onnx::MatMul_1338" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1338"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1338">
-					<dim>12</dim>
-					<dim>64</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="430" name="onnx::Reshape_1339" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1339"/>
-			</rt_info>
+		<layer id="580" name="/text_model/encoder/layers.6/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -8081,23 +9334,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1339">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="onnx::Add_1350" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1350"/>
-			</rt_info>
+		<layer id="581" name="/text_model/encoder/layers.6/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="/text_model/encoder/layers.6/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -8109,7 +9367,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1350">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -8117,25 +9375,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="onnx::Add_1351" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1351"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_1351">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="433" name="onnx::Reshape_1352" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1352"/>
-			</rt_info>
+		<layer id="583" name="/text_model/encoder/layers.6/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8151,7 +9392,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1352">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -8159,11 +9400,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="attn_weights.47" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.47"/>
-			</rt_info>
+		<layer id="584" name="/text_model/encoder/layers.6/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="/text_model/encoder/layers.6/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8176,18 +9422,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.47">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="435" name="attn_weights.51" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.51"/>
-			</rt_info>
+		<layer id="586" name="/text_model/encoder/layers.6/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -8196,40 +9439,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.51">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="436" name="Constant_3904" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="326884808" size="3072"/>
+		<layer id="587" name="Constant_7517_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="163442524" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="437" name="Constant_3302" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="326887880" size="2359296"/>
+		<layer id="588" name="Constant_7517" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1277, onnx::MatMul_2594"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="589" name="Constant_6892_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="163444060" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="onnx::Add_1277" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="590" name="Constant_6892" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1277, onnx::MatMul_2594"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="591" name="/text_model/encoder/layers.6/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8242,18 +9517,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1277">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="onnx::Reshape_1278" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1278"/>
-			</rt_info>
+		<layer id="592" name="/text_model/encoder/layers.6/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8267,18 +9539,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1278">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="440" name="onnx::Transpose_1291" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1291"/>
-			</rt_info>
+		<layer id="593" name="/text_model/encoder/layers.6/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="594" name="/text_model/encoder/layers.6/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8290,7 +9567,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1291">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -8298,21 +9575,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="Constant_813" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_813"/>
-			</rt_info>
+		<layer id="595" name="Constant_1079" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="442" name="onnx::Reshape_1292" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1292"/>
-			</rt_info>
+		<layer id="596" name="/text_model/encoder/layers.6/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8325,7 +9596,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1292">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -8333,11 +9604,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="443" name="onnx::MatMul_1336" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1336"/>
-			</rt_info>
+		<layer id="597" name="/text_model/encoder/layers.6/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="/text_model/encoder/layers.6/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8350,18 +9626,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1336">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="444" name="onnx::Reshape_1363" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1363"/>
-			</rt_info>
+		<layer id="599" name="/text_model/encoder/layers.6/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -8375,18 +9648,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1363">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="445" name="onnx::Transpose_1375" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1375"/>
-			</rt_info>
+		<layer id="600" name="/text_model/encoder/layers.6/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="601" name="/text_model/encoder/layers.6/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -8398,7 +9676,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1375">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -8406,21 +9684,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="446" name="Constant_845" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_845"/>
-			</rt_info>
+		<layer id="602" name="Constant_1138" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="onnx::Reshape_1376" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1376"/>
-			</rt_info>
+		<layer id="603" name="/text_model/encoder/layers.6/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8433,7 +9705,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1376">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -8441,11 +9713,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="448" name="onnx::MatMul_1384" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1384"/>
-			</rt_info>
+		<layer id="604" name="/text_model/encoder/layers.6/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.6/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="/text_model/encoder/layers.6/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8458,30 +9735,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1384">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="449" name="Constant_3309" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="329247176" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1386, onnx::MatMul_2635"/>
-			</rt_info>
+		<layer id="606" name="Constant_6899_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="164623708" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="450" name="onnx::Add_1386" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="607" name="Constant_6899" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1386, onnx::MatMul_2635"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="608" name="/text_model/encoder/layers.6/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8494,18 +9783,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1386">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="451" name="onnx::Add_1387" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1387"/>
-			</rt_info>
+		<layer id="609" name="/text_model/encoder/layers.6/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8519,18 +9805,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1387">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="452" name="input.59" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.59"/>
-			</rt_info>
+		<layer id="610" name="/text_model/encoder/layers.6/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8544,49 +9827,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.59">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="Constant_3909" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="331606472" size="3072"/>
+		<layer id="611" name="Constant_7522_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="165803356" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="612" name="Constant_7522" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="Constant_3908" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="331609544" size="12288"/>
+		<layer id="613" name="Constant_7521_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="165804892" size="6144" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="Constant_853" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="614" name="Constant_7521" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_853"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="615" name="Constant_1150" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="onnx::Mul_1397" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1393, onnx::Div_1396, onnx::Mul_1397, onnx::Pow_1390, onnx::ReduceMean_1392, onnx::Sqrt_1395, onnx::Sub_1389"/>
-			</rt_info>
+		<layer id="616" name="/text_model/encoder/layers.6/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8598,28 +9915,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1397">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="Constant_3906" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="331621832" size="3072"/>
+		<layer id="617" name="Constant_7519_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="165811036" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="onnx::Add_1398" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="618" name="Constant_7519" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1398"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="/text_model/encoder/layers.6/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8633,28 +9967,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1398">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="Constant_3907" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="331624904" size="3072"/>
+		<layer id="620" name="Constant_7520_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="165812572" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="onnx::MatMul_1399" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="621" name="Constant_7520" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1399"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="622" name="/text_model/encoder/layers.6/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8668,30 +10019,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1399">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="Constant_3317" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="331627976" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1401, onnx::MatMul_2636"/>
-			</rt_info>
+		<layer id="623" name="Constant_6907_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="165814108" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="onnx::Add_1401" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="624" name="Constant_6907" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1401, onnx::MatMul_2636"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="625" name="/text_model/encoder/layers.6/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8704,18 +10067,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1401">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="onnx::Mul_1402" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1402"/>
-			</rt_info>
+		<layer id="626" name="/text_model/encoder/layers.6/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8729,56 +10089,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1402">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="464" name="Constant_3319" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="627" name="Constant_6909_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="465" name="onnx::MatMul_1406" type="Swish" version="opset4">
+		<layer id="628" name="Constant_6909" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1406, onnx::Mul_1405"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="629" name="/text_model/encoder/layers.6/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1406">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="Constant_3326" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="341065160" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1408, onnx::MatMul_2637"/>
-			</rt_info>
+		<layer id="630" name="Constant_6916_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="170532700" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="onnx::Add_1408" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="631" name="Constant_6916" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1408, onnx::MatMul_2637"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="632" name="/text_model/encoder/layers.6/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8791,18 +10172,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1408">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="onnx::Add_1409" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1409"/>
-			</rt_info>
+		<layer id="633" name="/text_model/encoder/layers.6/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8816,18 +10194,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1409">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="input.63" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.63"/>
-			</rt_info>
+		<layer id="634" name="/text_model/encoder/layers.6/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8841,72 +10216,103 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.63">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.6/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="Constant_3915" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="350502344" size="3072"/>
+		<layer id="635" name="Constant_7528_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="175251292" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="Constant_875" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_875"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="472" name="onnx::Mul_1419" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+		<layer id="636" name="Constant_7528" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1415, onnx::Div_1418, onnx::Mul_1419, onnx::Pow_1412, onnx::ReduceMean_1414, onnx::Sqrt_1417, onnx::Sub_1411"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>77</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="I64">
 					<dim>1</dim>
+					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1419">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="Constant_3910" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="350505416" size="3072"/>
+		<layer id="637" name="Constant_1172" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="/text_model/encoder/layers.7/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/layer_norm1/Div_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="639" name="Constant_7523_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="175252828" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="onnx::Add_1420" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="640" name="Constant_7523" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1420"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="/text_model/encoder/layers.7/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8920,28 +10326,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1420">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="Constant_3911" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="350508488" size="3072"/>
+		<layer id="642" name="Constant_7524_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="175254364" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="onnx::MatMul_1421" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="643" name="Constant_7524" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1421"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="644" name="/text_model/encoder/layers.7/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8955,30 +10378,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1421">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="Constant_3653" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="350511560" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1426, onnx::MatMul_2638, onnx::Mul_1427, onnx::Mul_1428, query_states.27"/>
-			</rt_info>
+		<layer id="645" name="Constant_7243_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="175255900" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="Multiply_3587" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="646" name="Constant_7243" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1426, onnx::MatMul_2638, onnx::Mul_1427, onnx::Mul_1428, query_states.27"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="647" name="Multiply_7177" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8998,21 +10433,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="Constant_3912" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="352870856" size="3072"/>
+		<layer id="648" name="Constant_7525_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="176435548" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="query_states.27" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="649" name="Constant_7525" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1427, query_states.27"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="650" name="/text_model/encoder/layers.7/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9026,18 +10478,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.27">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="onnx::Transpose_1476" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1476"/>
-			</rt_info>
+		<layer id="651" name="/text_model/encoder/layers.7/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="652" name="/text_model/encoder/layers.7/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9049,7 +10506,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1476">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -9057,21 +10514,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="Constant_909" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_909"/>
-			</rt_info>
+		<layer id="653" name="Constant_1218" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="onnx::Reshape_1477" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1477"/>
-			</rt_info>
+		<layer id="654" name="/text_model/encoder/layers.7/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9084,7 +10535,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1477">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -9092,11 +10543,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="onnx::MatMul_1487" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1487"/>
-			</rt_info>
+		<layer id="655" name="/text_model/encoder/layers.7/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="656" name="/text_model/encoder/layers.7/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9109,40 +10565,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1487">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="Constant_3913" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="352873928" size="3072"/>
+		<layer id="657" name="Constant_7526_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="176437084" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="Constant_3341" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="352877000" size="2359296"/>
+		<layer id="658" name="Constant_7526" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1431, onnx::MatMul_2639"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="659" name="Constant_6931_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="176438620" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="onnx::Add_1431" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="660" name="Constant_6931" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1431, onnx::MatMul_2639"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="661" name="/text_model/encoder/layers.7/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9155,18 +10643,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1431">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="onnx::Reshape_1432" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1432"/>
-			</rt_info>
+		<layer id="662" name="/text_model/encoder/layers.7/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9180,18 +10665,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1432">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="onnx::Transpose_1445" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1445"/>
-			</rt_info>
+		<layer id="663" name="/text_model/encoder/layers.7/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="664" name="/text_model/encoder/layers.7/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9203,7 +10693,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1445">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -9211,21 +10701,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="Constant_897" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_897"/>
-			</rt_info>
+		<layer id="665" name="Constant_1199" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="onnx::Reshape_1446" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1446"/>
-			</rt_info>
+		<layer id="666" name="/text_model/encoder/layers.7/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9238,55 +10722,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1446">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="492" name="onnx::Transpose_1497" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1497"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1497">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="493" name="Constant_920" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_920"/>
-			</rt_info>
+		<layer id="667" name="/text_model/encoder/layers.7/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="onnx::MatMul_1509" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1509"/>
-			</rt_info>
+		<layer id="668" name="/text_model/encoder/layers.7/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -9296,18 +10752,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1509">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="onnx::Reshape_1510" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1510"/>
-			</rt_info>
+		<layer id="669" name="/text_model/encoder/layers.7/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -9316,23 +10769,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1510">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="onnx::Add_1521" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1521"/>
-			</rt_info>
+		<layer id="670" name="/text_model/encoder/layers.7/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="671" name="/text_model/encoder/layers.7/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -9344,7 +10802,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1521">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -9352,25 +10810,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="onnx::Add_1522" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1522"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_1522">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="498" name="onnx::Reshape_1523" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1523"/>
-			</rt_info>
+		<layer id="672" name="/text_model/encoder/layers.7/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9386,7 +10827,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1523">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -9394,11 +10835,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="attn_weights.55" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.55"/>
-			</rt_info>
+		<layer id="673" name="/text_model/encoder/layers.7/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="674" name="/text_model/encoder/layers.7/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9411,18 +10857,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.55">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="attn_weights.59" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.59"/>
-			</rt_info>
+		<layer id="675" name="/text_model/encoder/layers.7/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -9431,40 +10874,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.59">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="Constant_3914" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="355236296" size="3072"/>
+		<layer id="676" name="Constant_7527_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="177618268" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="Constant_3348" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="355239368" size="2359296"/>
+		<layer id="677" name="Constant_7527" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1448, onnx::MatMul_2645"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="678" name="Constant_6938_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="177619804" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="onnx::Add_1448" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="679" name="Constant_6938" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1448, onnx::MatMul_2645"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="680" name="/text_model/encoder/layers.7/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9477,18 +10952,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1448">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="onnx::Reshape_1449" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1449"/>
-			</rt_info>
+		<layer id="681" name="/text_model/encoder/layers.7/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9502,18 +10974,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1449">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="onnx::Transpose_1462" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1462"/>
-			</rt_info>
+		<layer id="682" name="/text_model/encoder/layers.7/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="683" name="/text_model/encoder/layers.7/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9525,7 +11002,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1462">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -9533,21 +11010,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="Constant_904" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_904"/>
-			</rt_info>
+		<layer id="684" name="Constant_1209" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="onnx::Reshape_1463" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1463"/>
-			</rt_info>
+		<layer id="685" name="/text_model/encoder/layers.7/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9560,7 +11031,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1463">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -9568,11 +11039,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="onnx::MatMul_1507" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1507"/>
-			</rt_info>
+		<layer id="686" name="/text_model/encoder/layers.7/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="687" name="/text_model/encoder/layers.7/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9585,18 +11061,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1507">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="onnx::Reshape_1534" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1534"/>
-			</rt_info>
+		<layer id="688" name="/text_model/encoder/layers.7/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -9610,20 +11083,25 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1534">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="onnx::Transpose_1546" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1546"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="689" name="/text_model/encoder/layers.7/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="690" name="/text_model/encoder/layers.7/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -9633,7 +11111,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1546">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -9641,21 +11119,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="Constant_936" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_936"/>
-			</rt_info>
+		<layer id="691" name="Constant_1268" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="onnx::Reshape_1547" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1547"/>
-			</rt_info>
+		<layer id="692" name="/text_model/encoder/layers.7/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9668,7 +11140,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1547">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -9676,11 +11148,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="onnx::MatMul_1555" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1555"/>
-			</rt_info>
+		<layer id="693" name="/text_model/encoder/layers.7/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.7/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="694" name="/text_model/encoder/layers.7/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9693,30 +11170,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1555">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="514" name="Constant_3355" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="357598664" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1557, onnx::MatMul_2686"/>
-			</rt_info>
+		<layer id="695" name="Constant_6945_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="178799452" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="onnx::Add_1557" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="696" name="Constant_6945" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1557, onnx::MatMul_2686"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="697" name="/text_model/encoder/layers.7/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9729,18 +11218,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1557">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="onnx::Add_1558" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1558"/>
-			</rt_info>
+		<layer id="698" name="/text_model/encoder/layers.7/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9754,18 +11240,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1558">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="input.67" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.67"/>
-			</rt_info>
+		<layer id="699" name="/text_model/encoder/layers.7/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9779,49 +11262,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.67">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="Constant_3919" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="359957960" size="3072"/>
+		<layer id="700" name="Constant_7532_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="179979100" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="519" name="Constant_3918" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="359961032" size="12288"/>
+		<layer id="701" name="Constant_7532" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="702" name="Constant_7531_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="179980636" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="Constant_944" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="703" name="Constant_7531" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_944"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="704" name="Constant_1280" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="onnx::Mul_1568" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1564, onnx::Div_1567, onnx::Mul_1568, onnx::Pow_1561, onnx::ReduceMean_1563, onnx::Sqrt_1566, onnx::Sub_1560"/>
-			</rt_info>
+		<layer id="705" name="/text_model/encoder/layers.7/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9833,28 +11350,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1568">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="Constant_3916" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="359973320" size="3072"/>
+		<layer id="706" name="Constant_7529_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="179986780" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="onnx::Add_1569" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="707" name="Constant_7529" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1569"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="708" name="/text_model/encoder/layers.7/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9868,28 +11402,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1569">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="Constant_3917" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="359976392" size="3072"/>
+		<layer id="709" name="Constant_7530_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="179988316" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="onnx::MatMul_1570" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="710" name="Constant_7530" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1570"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="711" name="/text_model/encoder/layers.7/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9903,30 +11454,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1570">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="Constant_3363" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="359979464" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1572, onnx::MatMul_2687"/>
-			</rt_info>
+		<layer id="712" name="Constant_6953_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="179989852" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="onnx::Add_1572" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="713" name="Constant_6953" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1572, onnx::MatMul_2687"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="714" name="/text_model/encoder/layers.7/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9939,18 +11502,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1572">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="onnx::Mul_1573" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1573"/>
-			</rt_info>
+		<layer id="715" name="/text_model/encoder/layers.7/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9964,56 +11524,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1573">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="Constant_3365" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="716" name="Constant_6955_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="530" name="onnx::MatMul_1577" type="Swish" version="opset4">
+		<layer id="717" name="Constant_6955" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1577, onnx::Mul_1576"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="718" name="/text_model/encoder/layers.7/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1577">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="Constant_3372" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="369416648" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1579, onnx::MatMul_2688"/>
-			</rt_info>
+		<layer id="719" name="Constant_6962_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="184708444" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="onnx::Add_1579" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="720" name="Constant_6962" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1579, onnx::MatMul_2688"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="721" name="/text_model/encoder/layers.7/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10026,18 +11607,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1579">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="onnx::Add_1580" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1580"/>
-			</rt_info>
+		<layer id="722" name="/text_model/encoder/layers.7/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10051,18 +11629,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1580">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="534" name="input.71" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.71"/>
-			</rt_info>
+		<layer id="723" name="/text_model/encoder/layers.7/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10076,39 +11651,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.71">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.7/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="535" name="Constant_3925" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="378853832" size="3072"/>
+		<layer id="724" name="Constant_7538_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="189427036" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="Constant_966" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="725" name="Constant_7538" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_966"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="726" name="Constant_1302" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="onnx::Mul_1590" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1586, onnx::Div_1589, onnx::Mul_1590, onnx::Pow_1583, onnx::ReduceMean_1585, onnx::Sqrt_1588, onnx::Sub_1582"/>
-			</rt_info>
+		<layer id="727" name="/text_model/encoder/layers.8/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10120,28 +11709,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1590">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="538" name="Constant_3920" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="378856904" size="3072"/>
+		<layer id="728" name="Constant_7533_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="189428572" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="onnx::Add_1591" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="729" name="Constant_7533" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1591"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="730" name="/text_model/encoder/layers.8/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10155,28 +11761,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1591">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="Constant_3921" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="378859976" size="3072"/>
+		<layer id="731" name="Constant_7534_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="189430108" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="onnx::MatMul_1592" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="732" name="Constant_7534" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1592"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="733" name="/text_model/encoder/layers.8/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10190,30 +11813,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1592">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="Constant_3659" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="378863048" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1597, onnx::MatMul_2689, onnx::Mul_1598, onnx::Mul_1599, query_states.31"/>
-			</rt_info>
+		<layer id="734" name="Constant_7249_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="189431644" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="Multiply_3591" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="735" name="Constant_7249" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1597, onnx::MatMul_2689, onnx::Mul_1598, onnx::Mul_1599, query_states.31"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="736" name="Multiply_7181" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10233,21 +11868,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="Constant_3922" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="381222344" size="3072"/>
+		<layer id="737" name="Constant_7535_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="190611292" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="query_states.31" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="738" name="Constant_7535" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1598, query_states.31"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="739" name="/text_model/encoder/layers.8/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10261,18 +11913,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.31">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="onnx::Transpose_1647" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1647"/>
-			</rt_info>
+		<layer id="740" name="/text_model/encoder/layers.8/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="741" name="/text_model/encoder/layers.8/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10284,7 +11941,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1647">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -10292,21 +11949,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="Constant_1000" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1000"/>
-			</rt_info>
+		<layer id="742" name="Constant_1348" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="onnx::Reshape_1648" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1648"/>
-			</rt_info>
+		<layer id="743" name="/text_model/encoder/layers.8/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10319,7 +11970,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1648">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -10327,11 +11978,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="onnx::MatMul_1658" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1658"/>
-			</rt_info>
+		<layer id="744" name="/text_model/encoder/layers.8/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="745" name="/text_model/encoder/layers.8/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10344,44 +12000,76 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1658">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="550" name="Constant_3923" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="381225416" size="3072"/>
+		<layer id="746" name="Constant_7536_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="190612828" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="551" name="Constant_3387" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="381228488" size="2359296"/>
+		<layer id="747" name="Constant_7536" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1602, onnx::MatMul_2690"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="748" name="Constant_6977_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="190614364" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="552" name="onnx::Add_1602" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="749" name="Constant_6977" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1602, onnx::MatMul_2690"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
+				<port id="0" precision="FP16">
+					<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="750" name="/text_model/encoder/layers.8/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="FP32">
@@ -10390,18 +12078,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1602">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="553" name="onnx::Reshape_1603" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1603"/>
-			</rt_info>
+		<layer id="751" name="/text_model/encoder/layers.8/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10415,18 +12100,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1603">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="onnx::Transpose_1616" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1616"/>
-			</rt_info>
+		<layer id="752" name="/text_model/encoder/layers.8/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="753" name="/text_model/encoder/layers.8/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10438,7 +12128,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1616">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -10446,21 +12136,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="555" name="Constant_988" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_988"/>
-			</rt_info>
+		<layer id="754" name="Constant_1329" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="556" name="onnx::Reshape_1617" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1617"/>
-			</rt_info>
+		<layer id="755" name="/text_model/encoder/layers.8/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10473,55 +12157,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1617">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="557" name="onnx::Transpose_1668" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1668"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1668">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="558" name="Constant_1011" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1011"/>
-			</rt_info>
+		<layer id="756" name="/text_model/encoder/layers.8/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="559" name="onnx::MatMul_1680" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1680"/>
-			</rt_info>
+		<layer id="757" name="/text_model/encoder/layers.8/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -10531,18 +12187,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1680">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="560" name="onnx::Reshape_1681" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1681"/>
-			</rt_info>
+		<layer id="758" name="/text_model/encoder/layers.8/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -10551,23 +12204,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1681">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="561" name="onnx::Add_1692" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1692"/>
-			</rt_info>
+		<layer id="759" name="/text_model/encoder/layers.8/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="760" name="/text_model/encoder/layers.8/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -10579,7 +12237,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1692">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -10587,25 +12245,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="562" name="onnx::Add_1693" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1693"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_1693">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="563" name="onnx::Reshape_1694" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1694"/>
-			</rt_info>
+		<layer id="761" name="/text_model/encoder/layers.8/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10621,7 +12262,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1694">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -10629,11 +12270,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="564" name="attn_weights.63" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.63"/>
-			</rt_info>
+		<layer id="762" name="/text_model/encoder/layers.8/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="763" name="/text_model/encoder/layers.8/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10646,18 +12292,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.63">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="565" name="attn_weights.67" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.67"/>
-			</rt_info>
+		<layer id="764" name="/text_model/encoder/layers.8/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -10666,40 +12309,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.67">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="566" name="Constant_3924" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="383587784" size="3072"/>
+		<layer id="765" name="Constant_7537_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="191794012" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="567" name="Constant_3394" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="383590856" size="2359296"/>
+		<layer id="766" name="Constant_7537" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1619, onnx::MatMul_2696"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="767" name="Constant_6984_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="191795548" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="onnx::Add_1619" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="768" name="Constant_6984" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1619, onnx::MatMul_2696"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="769" name="/text_model/encoder/layers.8/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10712,18 +12387,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1619">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="569" name="onnx::Reshape_1620" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1620"/>
-			</rt_info>
+		<layer id="770" name="/text_model/encoder/layers.8/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10737,18 +12409,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1620">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="570" name="onnx::Transpose_1633" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1633"/>
-			</rt_info>
+		<layer id="771" name="/text_model/encoder/layers.8/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="772" name="/text_model/encoder/layers.8/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10760,7 +12437,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1633">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -10768,21 +12445,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="571" name="Constant_995" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_995"/>
-			</rt_info>
+		<layer id="773" name="Constant_1339" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="572" name="onnx::Reshape_1634" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1634"/>
-			</rt_info>
+		<layer id="774" name="/text_model/encoder/layers.8/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10795,7 +12466,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1634">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -10803,11 +12474,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="573" name="onnx::MatMul_1678" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1678"/>
-			</rt_info>
+		<layer id="775" name="/text_model/encoder/layers.8/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="776" name="/text_model/encoder/layers.8/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10820,18 +12496,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1678">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="574" name="onnx::Reshape_1705" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1705"/>
-			</rt_info>
+		<layer id="777" name="/text_model/encoder/layers.8/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -10845,18 +12518,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1705">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="575" name="onnx::Transpose_1717" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1717"/>
-			</rt_info>
+		<layer id="778" name="/text_model/encoder/layers.8/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="779" name="/text_model/encoder/layers.8/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -10868,7 +12546,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1717">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -10876,21 +12554,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="576" name="Constant_1027" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1027"/>
-			</rt_info>
+		<layer id="780" name="Constant_1398" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="577" name="onnx::Reshape_1718" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1718"/>
-			</rt_info>
+		<layer id="781" name="/text_model/encoder/layers.8/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10903,7 +12575,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1718">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -10911,11 +12583,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="578" name="onnx::MatMul_1726" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1726"/>
-			</rt_info>
+		<layer id="782" name="/text_model/encoder/layers.8/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.8/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="783" name="/text_model/encoder/layers.8/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10928,30 +12605,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1726">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="Constant_3401" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="385950152" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1728, onnx::MatMul_2737"/>
-			</rt_info>
+		<layer id="784" name="Constant_6991_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="192975196" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="onnx::Add_1728" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="785" name="Constant_6991" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1728, onnx::MatMul_2737"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="786" name="/text_model/encoder/layers.8/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10964,18 +12653,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1728">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="581" name="onnx::Add_1729" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1729"/>
-			</rt_info>
+		<layer id="787" name="/text_model/encoder/layers.8/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10989,18 +12675,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1729">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="582" name="input.75" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.75"/>
-			</rt_info>
+		<layer id="788" name="/text_model/encoder/layers.8/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11014,49 +12697,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.75">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="583" name="Constant_3929" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="388309448" size="3072"/>
+		<layer id="789" name="Constant_7542_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="194154844" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="584" name="Constant_3928" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="388312520" size="12288"/>
+		<layer id="790" name="Constant_7542" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="791" name="Constant_7541_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="194156380" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="585" name="Constant_1035" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="792" name="Constant_7541" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1035"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="793" name="Constant_1410" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="onnx::Mul_1739" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1735, onnx::Div_1738, onnx::Mul_1739, onnx::Pow_1732, onnx::ReduceMean_1734, onnx::Sqrt_1737, onnx::Sub_1731"/>
-			</rt_info>
+		<layer id="794" name="/text_model/encoder/layers.8/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11068,28 +12785,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1739">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="587" name="Constant_3926" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="388324808" size="3072"/>
+		<layer id="795" name="Constant_7539_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="194162524" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="588" name="onnx::Add_1740" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="796" name="Constant_7539" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1740"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="797" name="/text_model/encoder/layers.8/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11103,28 +12837,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1740">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="589" name="Constant_3927" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="388327880" size="3072"/>
+		<layer id="798" name="Constant_7540_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="194164060" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="590" name="onnx::MatMul_1741" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="799" name="Constant_7540" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1741"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="800" name="/text_model/encoder/layers.8/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11138,30 +12889,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1741">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="591" name="Constant_3409" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="388330952" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1743, onnx::MatMul_2738"/>
-			</rt_info>
+		<layer id="801" name="Constant_6999_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="194165596" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="592" name="onnx::Add_1743" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="802" name="Constant_6999" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1743, onnx::MatMul_2738"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="803" name="/text_model/encoder/layers.8/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11174,18 +12937,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1743">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="593" name="onnx::Mul_1744" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1744"/>
-			</rt_info>
+		<layer id="804" name="/text_model/encoder/layers.8/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11199,56 +12959,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1744">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="594" name="Constant_3411" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="805" name="Constant_7001_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="595" name="onnx::MatMul_1748" type="Swish" version="opset4">
+		<layer id="806" name="Constant_7001" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1748, onnx::Mul_1747"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="807" name="/text_model/encoder/layers.8/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1748">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="596" name="Constant_3418" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="397768136" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1750, onnx::MatMul_2739"/>
-			</rt_info>
+		<layer id="808" name="Constant_7008_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="198884188" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="onnx::Add_1750" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="809" name="Constant_7008" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1750, onnx::MatMul_2739"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="810" name="/text_model/encoder/layers.8/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11261,18 +13042,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1750">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="onnx::Add_1751" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1751"/>
-			</rt_info>
+		<layer id="811" name="/text_model/encoder/layers.8/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11286,18 +13064,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1751">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="input.79" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.79"/>
-			</rt_info>
+		<layer id="812" name="/text_model/encoder/layers.8/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11311,39 +13086,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.79">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.8/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="600" name="Constant_3935" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="407205320" size="3072"/>
+		<layer id="813" name="Constant_7548_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="203602780" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="Constant_1057" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="814" name="Constant_7548" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1057"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="815" name="Constant_1432" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="602" name="onnx::Mul_1761" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1757, onnx::Div_1760, onnx::Mul_1761, onnx::Pow_1754, onnx::ReduceMean_1756, onnx::Sqrt_1759, onnx::Sub_1753"/>
-			</rt_info>
+		<layer id="816" name="/text_model/encoder/layers.9/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11355,28 +13144,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1761">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="603" name="Constant_3930" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="407208392" size="3072"/>
+		<layer id="817" name="Constant_7543_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="203604316" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="604" name="onnx::Add_1762" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="818" name="Constant_7543" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1762"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="819" name="/text_model/encoder/layers.9/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11390,28 +13196,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1762">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="605" name="Constant_3931" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="407211464" size="3072"/>
+		<layer id="820" name="Constant_7544_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="203605852" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="606" name="onnx::MatMul_1763" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="821" name="Constant_7544" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1763"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="822" name="/text_model/encoder/layers.9/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11425,30 +13248,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1763">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="607" name="Constant_3665" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="407214536" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1768, onnx::MatMul_2740, onnx::Mul_1769, onnx::Mul_1770, query_states.35"/>
-			</rt_info>
+		<layer id="823" name="Constant_7255_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="203607388" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="608" name="Multiply_3595" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="824" name="Constant_7255" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1768, onnx::MatMul_2740, onnx::Mul_1769, onnx::Mul_1770, query_states.35"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="825" name="Multiply_7185" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11468,21 +13303,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="609" name="Constant_3932" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="409573832" size="3072"/>
+		<layer id="826" name="Constant_7545_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="204787036" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="610" name="query_states.35" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="827" name="Constant_7545" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1769, query_states.35"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="828" name="/text_model/encoder/layers.9/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11496,18 +13348,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.35">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="611" name="onnx::Transpose_1818" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1818"/>
-			</rt_info>
+		<layer id="829" name="/text_model/encoder/layers.9/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="830" name="/text_model/encoder/layers.9/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11519,7 +13376,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1818">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -11527,21 +13384,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="612" name="Constant_1091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1091"/>
-			</rt_info>
+		<layer id="831" name="Constant_1478" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="613" name="onnx::Reshape_1819" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1819"/>
-			</rt_info>
+		<layer id="832" name="/text_model/encoder/layers.9/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11554,7 +13405,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1819">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -11562,11 +13413,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="onnx::MatMul_1829" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1829"/>
-			</rt_info>
+		<layer id="833" name="/text_model/encoder/layers.9/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="834" name="/text_model/encoder/layers.9/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11579,40 +13435,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1829">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="Constant_3933" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="409576904" size="3072"/>
+		<layer id="835" name="Constant_7546_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="204788572" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="Constant_3433" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="409579976" size="2359296"/>
+		<layer id="836" name="Constant_7546" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1773, onnx::MatMul_2741"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="837" name="Constant_7023_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="204790108" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="onnx::Add_1773" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="838" name="Constant_7023" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1773, onnx::MatMul_2741"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="839" name="/text_model/encoder/layers.9/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11625,18 +13513,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1773">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="618" name="onnx::Reshape_1774" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1774"/>
-			</rt_info>
+		<layer id="840" name="/text_model/encoder/layers.9/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11650,18 +13535,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1774">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="onnx::Transpose_1787" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1787"/>
-			</rt_info>
+		<layer id="841" name="/text_model/encoder/layers.9/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="842" name="/text_model/encoder/layers.9/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11673,7 +13563,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1787">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -11681,21 +13571,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="620" name="Constant_1079" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1079"/>
-			</rt_info>
+		<layer id="843" name="Constant_1459" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="621" name="onnx::Reshape_1788" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1788"/>
-			</rt_info>
+		<layer id="844" name="/text_model/encoder/layers.9/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11708,7 +13592,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1788">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -11716,47 +13600,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="622" name="onnx::Transpose_1839" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1839"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1839">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="623" name="Constant_1102" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1102"/>
-			</rt_info>
+		<layer id="845" name="/text_model/encoder/layers.9/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="624" name="onnx::MatMul_1851" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1851"/>
-			</rt_info>
+		<layer id="846" name="/text_model/encoder/layers.9/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -11766,18 +13622,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1851">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="625" name="onnx::Reshape_1852" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1852"/>
-			</rt_info>
+		<layer id="847" name="/text_model/encoder/layers.9/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -11786,23 +13639,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1852">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="626" name="onnx::Add_1863" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1863"/>
-			</rt_info>
+		<layer id="848" name="/text_model/encoder/layers.9/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="849" name="/text_model/encoder/layers.9/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -11814,7 +13672,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1863">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -11822,25 +13680,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="627" name="onnx::Add_1864" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1864"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_1864">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="628" name="onnx::Reshape_1865" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1865"/>
-			</rt_info>
+		<layer id="850" name="/text_model/encoder/layers.9/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11856,7 +13697,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1865">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -11864,11 +13705,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="629" name="attn_weights.71" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.71"/>
-			</rt_info>
+		<layer id="851" name="/text_model/encoder/layers.9/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="852" name="/text_model/encoder/layers.9/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11881,18 +13727,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.71">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="630" name="attn_weights.75" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.75"/>
-			</rt_info>
+		<layer id="853" name="/text_model/encoder/layers.9/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -11901,40 +13744,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.75">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="631" name="Constant_3934" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="411939272" size="3072"/>
+		<layer id="854" name="Constant_7547_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="205969756" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="632" name="Constant_3440" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="411942344" size="2359296"/>
+		<layer id="855" name="Constant_7547" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1790, onnx::MatMul_2747"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="856" name="Constant_7030_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="205971292" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="633" name="onnx::Add_1790" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="857" name="Constant_7030" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1790, onnx::MatMul_2747"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="858" name="/text_model/encoder/layers.9/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11947,18 +13822,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1790">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="634" name="onnx::Reshape_1791" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1791"/>
-			</rt_info>
+		<layer id="859" name="/text_model/encoder/layers.9/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -11972,22 +13844,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1791">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="635" name="onnx::Transpose_1804" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1804"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
+		<layer id="860" name="/text_model/encoder/layers.9/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="861" name="/text_model/encoder/layers.9/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -11995,7 +13872,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1804">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -12003,21 +13880,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="636" name="Constant_1086" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1086"/>
-			</rt_info>
+		<layer id="862" name="Constant_1469" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="637" name="onnx::Reshape_1805" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1805"/>
-			</rt_info>
+		<layer id="863" name="/text_model/encoder/layers.9/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12030,7 +13901,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1805">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -12038,11 +13909,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="638" name="onnx::MatMul_1849" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1849"/>
-			</rt_info>
+		<layer id="864" name="/text_model/encoder/layers.9/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="865" name="/text_model/encoder/layers.9/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12055,18 +13931,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1849">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="639" name="onnx::Reshape_1876" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1876"/>
-			</rt_info>
+		<layer id="866" name="/text_model/encoder/layers.9/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -12080,18 +13953,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1876">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="onnx::Transpose_1888" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1888"/>
-			</rt_info>
+		<layer id="867" name="/text_model/encoder/layers.9/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="868" name="/text_model/encoder/layers.9/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -12103,7 +13981,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1888">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -12111,21 +13989,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="641" name="Constant_1118" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1118"/>
-			</rt_info>
+		<layer id="869" name="Constant_1528" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="642" name="onnx::Reshape_1889" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1889"/>
-			</rt_info>
+		<layer id="870" name="/text_model/encoder/layers.9/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12138,7 +14010,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1889">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -12146,11 +14018,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="643" name="onnx::MatMul_1897" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1897"/>
-			</rt_info>
+		<layer id="871" name="/text_model/encoder/layers.9/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.9/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="872" name="/text_model/encoder/layers.9/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12163,30 +14040,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1897">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="Constant_3447" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="414301640" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1899, onnx::MatMul_2788"/>
-			</rt_info>
+		<layer id="873" name="Constant_7037_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="207150940" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="645" name="onnx::Add_1899" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="874" name="Constant_7037" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1899, onnx::MatMul_2788"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="875" name="/text_model/encoder/layers.9/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12199,18 +14088,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1899">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="646" name="onnx::Add_1900" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1900"/>
-			</rt_info>
+		<layer id="876" name="/text_model/encoder/layers.9/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12224,18 +14110,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1900">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="647" name="input.83" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.83"/>
-			</rt_info>
+		<layer id="877" name="/text_model/encoder/layers.9/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12249,49 +14132,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.83">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="648" name="Constant_3939" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="416660936" size="3072"/>
+		<layer id="878" name="Constant_7552_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="208330588" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="879" name="Constant_7552" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="649" name="Constant_3938" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="416664008" size="12288"/>
+		<layer id="880" name="Constant_7551_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="208332124" size="6144" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="650" name="Constant_1126" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="881" name="Constant_7551" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1126"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="882" name="Constant_1540" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="651" name="onnx::Mul_1910" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1906, onnx::Div_1909, onnx::Mul_1910, onnx::Pow_1903, onnx::ReduceMean_1905, onnx::Sqrt_1908, onnx::Sub_1902"/>
-			</rt_info>
+		<layer id="883" name="/text_model/encoder/layers.9/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12303,28 +14220,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1910">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="652" name="Constant_3936" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="416676296" size="3072"/>
+		<layer id="884" name="Constant_7549_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="208338268" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="653" name="onnx::Add_1911" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="885" name="Constant_7549" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1911"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="886" name="/text_model/encoder/layers.9/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12338,28 +14272,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1911">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="654" name="Constant_3937" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="416679368" size="3072"/>
+		<layer id="887" name="Constant_7550_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="208339804" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="655" name="onnx::MatMul_1912" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="888" name="Constant_7550" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1912"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="889" name="/text_model/encoder/layers.9/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12373,30 +14324,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1912">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="656" name="Constant_3455" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="416682440" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1914, onnx::MatMul_2789"/>
-			</rt_info>
+		<layer id="890" name="Constant_7045_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="208341340" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="657" name="onnx::Add_1914" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="891" name="Constant_7045" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1914, onnx::MatMul_2789"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="892" name="/text_model/encoder/layers.9/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12409,18 +14372,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1914">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="658" name="onnx::Mul_1915" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1915"/>
-			</rt_info>
+		<layer id="893" name="/text_model/encoder/layers.9/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12434,56 +14394,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1915">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="659" name="Constant_3457" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="894" name="Constant_7047_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="660" name="onnx::MatMul_1919" type="Swish" version="opset4">
+		<layer id="895" name="Constant_7047" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1919, onnx::Mul_1918"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="896" name="/text_model/encoder/layers.9/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1919">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="661" name="Constant_3464" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="426119624" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1921, onnx::MatMul_2790"/>
-			</rt_info>
+		<layer id="897" name="Constant_7054_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="213059932" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="662" name="onnx::Add_1921" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="898" name="Constant_7054" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1921, onnx::MatMul_2790"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="899" name="/text_model/encoder/layers.9/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12496,18 +14477,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1921">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="663" name="onnx::Add_1922" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1922"/>
-			</rt_info>
+		<layer id="900" name="/text_model/encoder/layers.9/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12521,18 +14499,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1922">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="664" name="input.87" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.87"/>
-			</rt_info>
+		<layer id="901" name="/text_model/encoder/layers.9/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12546,39 +14521,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.87">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.9/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="665" name="Constant_3945" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="435556808" size="3072"/>
+		<layer id="902" name="Constant_7558_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="217778524" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="666" name="Constant_1148" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="903" name="Constant_7558" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1148"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="904" name="Constant_1562" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="667" name="onnx::Mul_1932" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1928, onnx::Div_1931, onnx::Mul_1932, onnx::Pow_1925, onnx::ReduceMean_1927, onnx::Sqrt_1930, onnx::Sub_1924"/>
-			</rt_info>
+		<layer id="905" name="/text_model/encoder/layers.10/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12590,28 +14579,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_1932">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="668" name="Constant_3940" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="435559880" size="3072"/>
+		<layer id="906" name="Constant_7553_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="217780060" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="669" name="onnx::Add_1933" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="907" name="Constant_7553" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1933"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="908" name="/text_model/encoder/layers.10/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12625,28 +14631,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1933">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="670" name="Constant_3941" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="435562952" size="3072"/>
+		<layer id="909" name="Constant_7554_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="217781596" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="671" name="onnx::MatMul_1934" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="910" name="Constant_7554" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_1934"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="911" name="/text_model/encoder/layers.10/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12660,30 +14683,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_1934">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="672" name="Constant_3671" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="435566024" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1939, onnx::MatMul_2791, onnx::Mul_1940, onnx::Mul_1941, query_states.39"/>
-			</rt_info>
+		<layer id="912" name="Constant_7261_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="217783132" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="673" name="Multiply_3599" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="913" name="Constant_7261" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1939, onnx::MatMul_2791, onnx::Mul_1940, onnx::Mul_1941, query_states.39"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="914" name="Multiply_7189" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12703,21 +14738,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="674" name="Constant_3942" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="437925320" size="3072"/>
+		<layer id="915" name="Constant_7555_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="218962780" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="675" name="query_states.39" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="916" name="Constant_7555" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_1940, query_states.39"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="917" name="/text_model/encoder/layers.10/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12731,18 +14783,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.39">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="676" name="onnx::Transpose_1989" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1989"/>
-			</rt_info>
+		<layer id="918" name="/text_model/encoder/layers.10/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="919" name="/text_model/encoder/layers.10/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12754,7 +14811,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1989">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -12762,21 +14819,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="677" name="Constant_1182" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1182"/>
-			</rt_info>
+		<layer id="920" name="Constant_1608" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="678" name="onnx::Reshape_1990" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1990"/>
-			</rt_info>
+		<layer id="921" name="/text_model/encoder/layers.10/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12789,7 +14840,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1990">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -12797,13 +14848,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="679" name="onnx::MatMul_2000" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2000"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+		<layer id="922" name="/text_model/encoder/layers.10/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="923" name="/text_model/encoder/layers.10/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -12814,40 +14870,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2000">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="680" name="Constant_3943" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="437928392" size="3072"/>
+		<layer id="924" name="Constant_7556_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="218964316" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="681" name="Constant_3479" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="437931464" size="2359296"/>
+		<layer id="925" name="Constant_7556" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1944, onnx::MatMul_2792"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="926" name="Constant_7069_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="218965852" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="682" name="onnx::Add_1944" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="927" name="Constant_7069" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1944, onnx::MatMul_2792"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="928" name="/text_model/encoder/layers.10/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12860,18 +14948,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1944">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="683" name="onnx::Reshape_1945" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1945"/>
-			</rt_info>
+		<layer id="929" name="/text_model/encoder/layers.10/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12885,18 +14970,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1945">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="684" name="onnx::Transpose_1958" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1958"/>
-			</rt_info>
+		<layer id="930" name="/text_model/encoder/layers.10/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="931" name="/text_model/encoder/layers.10/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12908,7 +14998,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1958">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -12916,21 +15006,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="685" name="Constant_1170" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1170"/>
-			</rt_info>
+		<layer id="932" name="Constant_1589" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="686" name="onnx::Reshape_1959" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1959"/>
-			</rt_info>
+		<layer id="933" name="/text_model/encoder/layers.10/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -12943,7 +15027,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1959">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -12951,47 +15035,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="687" name="onnx::Transpose_2010" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_2010"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_2010">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="688" name="Constant_1193" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1193"/>
-			</rt_info>
+		<layer id="934" name="/text_model/encoder/layers.10/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="689" name="onnx::MatMul_2022" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2022"/>
-			</rt_info>
+		<layer id="935" name="/text_model/encoder/layers.10/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -13001,18 +15057,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2022">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="690" name="onnx::Reshape_2023" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2023"/>
-			</rt_info>
+		<layer id="936" name="/text_model/encoder/layers.10/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -13021,23 +15074,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2023">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="691" name="onnx::Add_2034" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2034"/>
-			</rt_info>
+		<layer id="937" name="/text_model/encoder/layers.10/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="938" name="/text_model/encoder/layers.10/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -13049,7 +15107,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2034">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -13057,25 +15115,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="692" name="onnx::Add_2035" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2035"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_2035">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="693" name="onnx::Reshape_2036" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2036"/>
-			</rt_info>
+		<layer id="939" name="/text_model/encoder/layers.10/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13091,7 +15132,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2036">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -13099,11 +15140,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="694" name="attn_weights.79" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.79"/>
-			</rt_info>
+		<layer id="940" name="/text_model/encoder/layers.10/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="941" name="/text_model/encoder/layers.10/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13116,18 +15162,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.79">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="695" name="attn_weights.83" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.83"/>
-			</rt_info>
+		<layer id="942" name="/text_model/encoder/layers.10/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -13136,40 +15179,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.83">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="696" name="Constant_3944" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="440290760" size="3072"/>
+		<layer id="943" name="Constant_7557_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="220145500" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="697" name="Constant_3486" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="440293832" size="2359296"/>
+		<layer id="944" name="Constant_7557" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1961, onnx::MatMul_2798"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="945" name="Constant_7076_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="220147036" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="698" name="onnx::Add_1961" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="946" name="Constant_7076" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_1961, onnx::MatMul_2798"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="947" name="/text_model/encoder/layers.10/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13182,18 +15257,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_1961">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="699" name="onnx::Reshape_1962" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1962"/>
-			</rt_info>
+		<layer id="948" name="/text_model/encoder/layers.10/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13207,18 +15279,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1962">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="700" name="onnx::Transpose_1975" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_1975"/>
-			</rt_info>
+		<layer id="949" name="/text_model/encoder/layers.10/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="950" name="/text_model/encoder/layers.10/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13230,7 +15307,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_1975">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -13238,21 +15315,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="701" name="Constant_1177" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1177"/>
-			</rt_info>
+		<layer id="951" name="Constant_1599" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="702" name="onnx::Reshape_1976" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_1976"/>
-			</rt_info>
+		<layer id="952" name="/text_model/encoder/layers.10/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13265,7 +15336,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_1976">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -13273,11 +15344,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="703" name="onnx::MatMul_2020" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2020"/>
-			</rt_info>
+		<layer id="953" name="/text_model/encoder/layers.10/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="954" name="/text_model/encoder/layers.10/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13290,18 +15366,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2020">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="704" name="onnx::Reshape_2047" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2047"/>
-			</rt_info>
+		<layer id="955" name="/text_model/encoder/layers.10/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -13315,18 +15388,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2047">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="705" name="onnx::Transpose_2059" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_2059"/>
-			</rt_info>
+		<layer id="956" name="/text_model/encoder/layers.10/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="957" name="/text_model/encoder/layers.10/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -13338,7 +15416,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_2059">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -13346,21 +15424,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="706" name="Constant_1209" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1209"/>
-			</rt_info>
+		<layer id="958" name="Constant_1658" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="707" name="onnx::Reshape_2060" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2060"/>
-			</rt_info>
+		<layer id="959" name="/text_model/encoder/layers.10/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13373,7 +15445,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2060">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -13381,11 +15453,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="708" name="onnx::MatMul_2068" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2068"/>
-			</rt_info>
+		<layer id="960" name="/text_model/encoder/layers.10/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.10/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="961" name="/text_model/encoder/layers.10/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13398,30 +15475,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2068">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="709" name="Constant_3493" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="442653128" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2070, onnx::MatMul_2839"/>
-			</rt_info>
+		<layer id="962" name="Constant_7083_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="221326684" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="710" name="onnx::Add_2070" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="963" name="Constant_7083" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2070, onnx::MatMul_2839"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="/text_model/encoder/layers.10/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13434,18 +15523,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2070">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="711" name="onnx::Add_2071" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2071"/>
-			</rt_info>
+		<layer id="965" name="/text_model/encoder/layers.10/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13459,18 +15545,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2071">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="712" name="input.91" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.91"/>
-			</rt_info>
+		<layer id="966" name="/text_model/encoder/layers.10/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13484,49 +15567,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.91">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="713" name="Constant_3949" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="445012424" size="3072"/>
+		<layer id="967" name="Constant_7562_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="222506332" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="714" name="Constant_3948" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="445015496" size="12288"/>
+		<layer id="968" name="Constant_7562" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="969" name="Constant_7561_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="222507868" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="715" name="Constant_1217" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="970" name="Constant_7561" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1217"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="971" name="Constant_1670" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="716" name="onnx::Mul_2081" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2077, onnx::Div_2080, onnx::Mul_2081, onnx::Pow_2074, onnx::ReduceMean_2076, onnx::Sqrt_2079, onnx::Sub_2073"/>
-			</rt_info>
+		<layer id="972" name="/text_model/encoder/layers.10/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13538,63 +15655,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_2081">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="717" name="Constant_3946" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="445027784" size="3072"/>
+		<layer id="973" name="Constant_7559_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="222514012" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="718" name="onnx::Add_2082" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="974" name="Constant_7559" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2082"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>768</dim>
-				</port>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2082">
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>768</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="719" name="Constant_3947" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="445030856" size="3072"/>
-			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="720" name="onnx::MatMul_2083" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2083"/>
-			</rt_info>
+		<layer id="975" name="/text_model/encoder/layers.10/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13608,54 +15707,115 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2083">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="721" name="Constant_3501" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="445033928" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2085, onnx::MatMul_2840"/>
-			</rt_info>
+		<layer id="976" name="Constant_7560_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="222515548" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>3072</dim>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="722" name="onnx::Add_2085" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="977" name="Constant_7560" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2085, onnx::MatMul_2840"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>77</dim>
 					<dim>768</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
-					<dim>3072</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="978" name="/text_model/encoder/layers.10/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<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="onnx::Add_2085">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="979" name="Constant_7091_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="222517084" size="4718592" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
+					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="723" name="onnx::Mul_2086" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="980" name="Constant_7091" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_2086"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="981" name="/text_model/encoder/layers.10/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/mlp/fc1/MatMul_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="982" name="/text_model/encoder/layers.10/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13669,56 +15829,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_2086">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="724" name="Constant_3503" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="983" name="Constant_7093_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="725" name="onnx::MatMul_2090" type="Swish" version="opset4">
+		<layer id="984" name="Constant_7093" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2090, onnx::Mul_2089"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="985" name="/text_model/encoder/layers.10/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2090">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="726" name="Constant_3510" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="454471112" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2092, onnx::MatMul_2841"/>
-			</rt_info>
+		<layer id="986" name="Constant_7100_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="227235676" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="727" name="onnx::Add_2092" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="987" name="Constant_7100" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2092, onnx::MatMul_2841"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="988" name="/text_model/encoder/layers.10/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13731,18 +15912,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2092">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="728" name="onnx::Add_2093" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2093"/>
-			</rt_info>
+		<layer id="989" name="/text_model/encoder/layers.10/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13756,18 +15934,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2093">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="729" name="input.95" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.95"/>
-			</rt_info>
+		<layer id="990" name="/text_model/encoder/layers.10/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13781,39 +15956,53 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.95">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.10/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="730" name="Constant_3955" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="463908296" size="3072"/>
+		<layer id="991" name="Constant_7568_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="231954268" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="731" name="Constant_1239" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="992" name="Constant_7568" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1239"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="993" name="Constant_1692" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="732" name="onnx::Mul_2103" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2099, onnx::Div_2102, onnx::Mul_2103, onnx::Pow_2096, onnx::ReduceMean_2098, onnx::Sqrt_2101, onnx::Sub_2095"/>
-			</rt_info>
+		<layer id="994" name="/text_model/encoder/layers.11/layer_norm1/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13825,28 +16014,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_2103">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/layer_norm1/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="733" name="Constant_3950" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="463911368" size="3072"/>
+		<layer id="995" name="Constant_7563_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="231955804" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="734" name="onnx::Add_2104" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="996" name="Constant_7563" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2104"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="997" name="/text_model/encoder/layers.11/layer_norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13860,28 +16066,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2104">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/layer_norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="735" name="Constant_3951" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="463914440" size="3072"/>
+		<layer id="998" name="Constant_7564_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="231957340" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="736" name="onnx::MatMul_2105" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="999" name="Constant_7564" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2105"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1000" name="/text_model/encoder/layers.11/layer_norm1/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13895,30 +16118,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2105">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/layer_norm1/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="737" name="Constant_3677" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="463917512" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2110, onnx::MatMul_2842, onnx::Mul_2111, onnx::Mul_2112, query_states.43"/>
-			</rt_info>
+		<layer id="1001" name="Constant_7267_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="231958876" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="738" name="Multiply_3603" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="1002" name="Constant_7267" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2110, onnx::MatMul_2842, onnx::Mul_2111, onnx::Mul_2112, query_states.43"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="1003" name="Multiply_7193" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13938,21 +16173,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="739" name="Constant_3952" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="466276808" size="3072"/>
+		<layer id="1004" name="Constant_7565_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="233138524" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="740" name="query_states.43" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="1005" name="Constant_7565" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_2111, query_states.43"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1006" name="/text_model/encoder/layers.11/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13966,18 +16218,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_states.43">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="741" name="onnx::Transpose_2160" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_2160"/>
-			</rt_info>
+		<layer id="1007" name="/text_model/encoder/layers.11/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194784" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1008" name="/text_model/encoder/layers.11/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -13989,7 +16246,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_2160">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -13997,21 +16254,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="742" name="Constant_1273" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1273"/>
-			</rt_info>
+		<layer id="1009" name="Constant_1738" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="743" name="onnx::Reshape_2161" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2161"/>
-			</rt_info>
+		<layer id="1010" name="/text_model/encoder/layers.11/self_attn/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14024,7 +16275,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2161">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -14032,11 +16283,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="744" name="onnx::MatMul_2171" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2171"/>
-			</rt_info>
+		<layer id="1011" name="/text_model/encoder/layers.11/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1012" name="/text_model/encoder/layers.11/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14049,40 +16305,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2171">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_3_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="745" name="Constant_3953" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="466279880" size="3072"/>
+		<layer id="1013" name="Constant_7566_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="233140060" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="746" name="Constant_3525" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="466282952" size="2359296"/>
+		<layer id="1014" name="Constant_7566" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2115, onnx::MatMul_2843"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1015" name="Constant_7115_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="233141596" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="747" name="onnx::Add_2115" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="1016" name="Constant_7115" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2115, onnx::MatMul_2843"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="1017" name="/text_model/encoder/layers.11/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14095,18 +16383,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2115">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/k_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="748" name="onnx::Reshape_2116" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2116"/>
-			</rt_info>
+		<layer id="1018" name="/text_model/encoder/layers.11/self_attn/k_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14120,18 +16405,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2116">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/k_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="749" name="onnx::Transpose_2129" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_2129"/>
-			</rt_info>
+		<layer id="1019" name="/text_model/encoder/layers.11/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1020" name="/text_model/encoder/layers.11/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14143,7 +16433,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_2129">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -14151,21 +16441,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="750" name="Constant_1261" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1261"/>
-			</rt_info>
+		<layer id="1021" name="Constant_1719" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="751" name="onnx::Reshape_2130" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2130"/>
-			</rt_info>
+		<layer id="1022" name="/text_model/encoder/layers.11/self_attn/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14178,55 +16462,27 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2130">
-					<dim>1</dim>
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="752" name="onnx::Transpose_2181" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_2181"/>
-			</rt_info>
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Transpose_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_2181">
-					<dim>12</dim>
-					<dim>77</dim>
-					<dim>64</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="753" name="Constant_1284" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="156752024" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1284"/>
-			</rt_info>
+		<layer id="1023" name="/text_model/encoder/layers.11/self_attn/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_5_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="754" name="onnx::MatMul_2193" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2193"/>
-			</rt_info>
+		<layer id="1024" name="/text_model/encoder/layers.11/self_attn/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
@@ -14236,18 +16492,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2193">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_4_output_0">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="755" name="onnx::Reshape_2194" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2194"/>
-			</rt_info>
+		<layer id="1025" name="/text_model/encoder/layers.11/self_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -14256,23 +16509,28 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>12</dim>
-					<dim>64</dim>
 					<dim>77</dim>
+					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2194">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/MatMul_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="756" name="onnx::Add_2205" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2205"/>
-			</rt_info>
+		<layer id="1026" name="/text_model/encoder/layers.11/self_attn/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376088" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_7_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1027" name="/text_model/encoder/layers.11/self_attn/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -14284,7 +16542,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2205">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_6_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -14292,25 +16550,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="757" name="onnx::Add_2206" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 77, 77" offset="156752080" size="23716"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2206"/>
-			</rt_info>
-			<output>
-				<port id="0" precision="FP32" names="onnx::Add_2206">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>77</dim>
-					<dim>77</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="758" name="onnx::Reshape_2207" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2207"/>
-			</rt_info>
+		<layer id="1028" name="/text_model/encoder/layers.11/self_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14326,7 +16567,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2207">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -14334,11 +16575,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="759" name="attn_weights.87" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.87"/>
-			</rt_info>
+		<layer id="1029" name="/text_model/encoder/layers.11/self_attn/Constant_8" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="78387978" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_8_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1030" name="/text_model/encoder/layers.11/self_attn/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14351,18 +16597,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="attn_weights.87">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_7_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="760" name="attn_weights.91" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="attn_weights.91"/>
-			</rt_info>
+		<layer id="1031" name="/text_model/encoder/layers.11/self_attn/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -14371,40 +16614,72 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="attn_weights.91">
+				<port id="1" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Softmax_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>77</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="761" name="Constant_3954" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="468642248" size="3072"/>
+		<layer id="1032" name="Constant_7567_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="234321244" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="762" name="Constant_3532" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="468645320" size="2359296"/>
+		<layer id="1033" name="Constant_7567" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2132, onnx::MatMul_2849"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1034" name="Constant_7122_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="234322780" size="1179648" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="763" name="onnx::Add_2132" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="1035" name="Constant_7122" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2132, onnx::MatMul_2849"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="1036" name="/text_model/encoder/layers.11/self_attn/v_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14417,18 +16692,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2132">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/v_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="764" name="onnx::Reshape_2133" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2133"/>
-			</rt_info>
+		<layer id="1037" name="/text_model/encoder/layers.11/self_attn/v_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14442,18 +16714,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2133">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/v_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="765" name="onnx::Transpose_2146" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_2146"/>
-			</rt_info>
+		<layer id="1038" name="/text_model/encoder/layers.11/self_attn/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="78376056" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_2_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1039" name="/text_model/encoder/layers.11/self_attn/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14465,7 +16742,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_2146">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -14473,21 +16750,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="766" name="Constant_1268" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1268"/>
-			</rt_info>
+		<layer id="1040" name="Constant_1729" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="767" name="onnx::Reshape_2147" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2147"/>
-			</rt_info>
+		<layer id="1041" name="/text_model/encoder/layers.11/self_attn/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14500,7 +16771,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2147">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -14508,11 +16779,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="768" name="onnx::MatMul_2191" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2191"/>
-			</rt_info>
+		<layer id="1042" name="/text_model/encoder/layers.11/self_attn/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="77194848" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1043" name="/text_model/encoder/layers.11/self_attn/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14525,18 +16801,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2191">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_5_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="769" name="onnx::Reshape_2218" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2218"/>
-			</rt_info>
+		<layer id="1044" name="/text_model/encoder/layers.11/self_attn/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -14550,18 +16823,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2218">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/MatMul_1_output_0">
 					<dim>12</dim>
 					<dim>77</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="770" name="onnx::Transpose_2230" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_2230"/>
-			</rt_info>
+		<layer id="1045" name="/text_model/encoder/layers.11/self_attn/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="79569186" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1046" name="/text_model/encoder/layers.11/self_attn/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>12</dim>
@@ -14573,7 +16851,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_2230">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>12</dim>
 					<dim>77</dim>
@@ -14581,21 +16859,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="771" name="Constant_1300" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="154389568" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1300"/>
-			</rt_info>
+		<layer id="1047" name="Constant_1788" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="77194816" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="772" name="onnx::Reshape_2231" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_2231"/>
-			</rt_info>
+		<layer id="1048" name="/text_model/encoder/layers.11/self_attn/Transpose_4" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14608,7 +16880,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_2231">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Transpose_4_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>12</dim>
@@ -14616,11 +16888,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="773" name="onnx::MatMul_2239" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2239"/>
-			</rt_info>
+		<layer id="1049" name="/text_model/encoder/layers.11/self_attn/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="79569218" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/encoder/layers.11/self_attn/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1050" name="/text_model/encoder/layers.11/self_attn/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14633,30 +16910,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2239">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="774" name="Constant_3539" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 768" offset="471004616" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2241, onnx::MatMul_2890"/>
-			</rt_info>
+		<layer id="1051" name="Constant_7129_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 768" offset="235502428" size="1179648" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="775" name="onnx::Add_2241" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="1052" name="Constant_7129" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2241, onnx::MatMul_2890"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="1053" name="/text_model/encoder/layers.11/self_attn/out_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14669,18 +16958,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2241">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/out_proj/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="776" name="onnx::Add_2242" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2242"/>
-			</rt_info>
+		<layer id="1054" name="/text_model/encoder/layers.11/self_attn/out_proj/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14694,18 +16980,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2242">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/self_attn/out_proj/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="777" name="input.99" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.99"/>
-			</rt_info>
+		<layer id="1055" name="/text_model/encoder/layers.11/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14719,49 +17002,83 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.99">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="778" name="Constant_3959" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="473363912" size="3072"/>
+		<layer id="1056" name="Constant_7572_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="236682076" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1057" name="Constant_7572" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="779" name="Constant_3958" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 3072" offset="473366984" size="12288"/>
+		<layer id="1058" name="Constant_7571_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 3072" offset="236683612" size="6144" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="780" name="Constant_1308" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
+		<layer id="1059" name="Constant_7571" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1308"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1060" name="Constant_1800" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="781" name="onnx::Mul_2252" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2248, onnx::Div_2251, onnx::Mul_2252, onnx::Pow_2245, onnx::ReduceMean_2247, onnx::Sqrt_2250, onnx::Sub_2244"/>
-			</rt_info>
+		<layer id="1061" name="/text_model/encoder/layers.11/layer_norm2/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14773,28 +17090,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_2252">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/layer_norm2/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="782" name="Constant_3956" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="473379272" size="3072"/>
+		<layer id="1062" name="Constant_7569_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="236689756" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="783" name="onnx::Add_2253" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="1063" name="Constant_7569" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2253"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1064" name="/text_model/encoder/layers.11/layer_norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14808,28 +17142,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2253">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/layer_norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="784" name="Constant_3957" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="473382344" size="3072"/>
+		<layer id="1065" name="Constant_7570_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="236691292" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="785" name="onnx::MatMul_2254" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="1066" name="Constant_7570" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2254"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1067" name="/text_model/encoder/layers.11/layer_norm2/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14843,30 +17194,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2254">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/layer_norm2/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="786" name="Constant_3547" type="Const" version="opset1">
-			<data element_type="f32" shape="3072, 768" offset="473385416" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2256, onnx::MatMul_2891"/>
-			</rt_info>
+		<layer id="1068" name="Constant_7137_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 768" offset="236692828" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>3072</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="787" name="onnx::Add_2256" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="1069" name="Constant_7137" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2256, onnx::MatMul_2891"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="1070" name="/text_model/encoder/layers.11/mlp/fc1/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14879,18 +17242,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2256">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/mlp/fc1/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="788" name="onnx::Mul_2257" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_2257"/>
-			</rt_info>
+		<layer id="1071" name="/text_model/encoder/layers.11/mlp/fc1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14904,56 +17264,77 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_2257">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/mlp/fc1/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="789" name="Constant_3549" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="170956228" size="4"/>
+		<layer id="1072" name="Constant_7139_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="85478234" size="2" />
 			<output>
-				<port id="0" precision="FP32"/>
+				<port id="0" precision="FP16" />
 			</output>
 		</layer>
-		<layer id="790" name="onnx::MatMul_2261" type="Swish" version="opset4">
+		<layer id="1073" name="Constant_7139" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_2261, onnx::Mul_2260"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16" />
+			</input>
+			<output>
+				<port id="1" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1074" name="/text_model/encoder/layers.11/mlp/activation_fn/Mul_1" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
-				<port id="1" precision="FP32"/>
+				<port id="1" precision="FP32" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_2261">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/mlp/activation_fn/Mul_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="791" name="Constant_3556" type="Const" version="opset1">
-			<data element_type="f32" shape="768, 3072" offset="482822600" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2263, onnx::MatMul_2892"/>
-			</rt_info>
+		<layer id="1075" name="Constant_7146_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3072" offset="241411420" size="4718592" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>768</dim>
 					<dim>3072</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="792" name="onnx::Add_2263" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="1076" name="Constant_7146" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2263, onnx::MatMul_2892"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<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="1077" name="/text_model/encoder/layers.11/mlp/fc2/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14966,18 +17347,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2263">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/mlp/fc2/MatMul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="793" name="onnx::Add_2264" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2264"/>
-			</rt_info>
+		<layer id="1078" name="/text_model/encoder/layers.11/mlp/fc2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14991,18 +17369,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2264">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/mlp/fc2/Add_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="794" name="input.103" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.103"/>
-			</rt_info>
+		<layer id="1079" name="/text_model/encoder/layers.11/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15016,29 +17391,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.103">
+				<port id="2" precision="FP32" names="/text_model/encoder/layers.11/Add_1_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="795" name="Constant_1330" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="152021016" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1330"/>
-			</rt_info>
+		<layer id="1080" name="Constant_1822" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="796" name="onnx::Mul_2274" type="MVN" version="opset6">
-			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2270, onnx::Div_2273, onnx::Mul_2274, onnx::Pow_2267, onnx::ReduceMean_2269, onnx::Sqrt_2272, onnx::Sub_2266"/>
-			</rt_info>
+		<layer id="1081" name="/text_model/final_layer_norm/Div" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15050,28 +17419,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_2274">
+				<port id="2" precision="FP32" names="/text_model/final_layer_norm/Div_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="797" name="Constant_3960" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="492259784" size="3072"/>
+		<layer id="1082" name="Constant_7573_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="246130012" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="798" name="onnx::Add_2275" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="1083" name="Constant_7573" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_2275"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1084" name="/text_model/final_layer_norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15085,28 +17471,45 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_2275">
+				<port id="2" precision="FP32" names="/text_model/final_layer_norm/Mul_output_0">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="799" name="Constant_3961" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 768" offset="492262856" size="3072"/>
+		<layer id="1085" name="Constant_7574_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="246131548" size="1536" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="800" name="emb" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="1086" name="Constant_7574" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="emb"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1087" name="last_hidden_state" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15120,17 +17523,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="emb">
+				<port id="2" precision="FP32" names="last_hidden_state">
 					<dim>1</dim>
 					<dim>77</dim>
 					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="801" name="emb/sink_port_0" type="Result" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="emb/sink_port_0"/>
-			</rt_info>
+		<layer id="1088" name="ShapeOf_1855" type="ShapeOf" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15138,1017 +17538,1627 @@
 					<dim>768</dim>
 				</port>
 			</input>
+			<output>
+				<port id="1" precision="I64" names="/text_model/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1089" name="Constant_1858" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="75890704" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1090" name="Constant_1857" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="246133084" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1091" name="Constant_1859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="246133092" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1092" name="StridedSlice_1860" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1093" name="Constant_1861" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="75890704" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1094" name="ReduceProd_1862" type="ReduceProd" version="opset1">
+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1095" name="Constant_1863" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76010520" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1096" name="Concat_1864" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1097" name="/text_model/Flatten" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/text_model/Flatten_output_0">
+					<dim>77</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1098" name="/text_model/Cast_1" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>77</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32" names="/text_model/Cast_1_output_0">
+					<dim>1</dim>
+					<dim>77</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1099" name="Constant_1836" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="246133092" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1100" name="TopK_1837" type="TopK" version="opset3">
+			<data axis="-1" mode="max" sort="none" index_element_type="i32" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+					<dim>77</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1101" name="Convert_1845" type="Convert" version="opset1">
+			<data destination_type="i64" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1102" name="Constant_1846" type="Const" version="opset1">
+			<data element_type="u64" shape="" offset="246133092" size="8" />
+			<output>
+				<port id="0" precision="U64" />
+			</output>
+		</layer>
+		<layer id="1103" name="/text_model/ArgMax" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="U64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/text_model/ArgMax_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1104" name="/text_model/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="75890704" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/Constant_6_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1105" name="/text_model/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="246133092" size="8" />
+			<output>
+				<port id="0" precision="I64" names="/text_model/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1106" name="Constant_1850" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="75890704" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1107" name="/text_model/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/text_model/Gather_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1108" name="/text_model/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/text_model/Mul_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1109" name="/text_model/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/text_model/Add_output_0">
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+			<input>
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+			<input>
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+			<output>
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