diff --git "a/openvino_vision_embeddings_model.xml" "b/openvino_vision_embeddings_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_vision_embeddings_model.xml"
@@ -0,0 +1,27640 @@
+<?xml version="1.0"?>
+<net name="Model3" version="11">
+	<layers>
+		<layer id="0" name="pixel_values" type="Parameter" version="opset1">
+			<data shape="?,3,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="pixel_values">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.vision_model.embeddings.class_embedding" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="0" size="4096" />
+			<output>
+				<port id="0" precision="FP32" names="self.vision_model.embeddings.class_embedding">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.vision_model.embeddings.patch_embedding.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 3, 14, 14" offset="4096" size="602112" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Convert_253926" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="self.vision_model.embeddings.patch_embedding.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1, 1, 1" offset="606208" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="self.vision_model.embeddings.patch_embedding.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="self.vision_model.embeddings.patch_embedding.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="__module.vision_model.embeddings.patch_embedding/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="14, 14" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.vision_model.embeddings.patch_embedding/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1024, 1, 1" offset="608256" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.vision_model.embeddings.patch_embedding/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="108,patch_embeds">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="ShapeOf_170440" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Constant_170441" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="612352" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Constant_170442" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="612352" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="13" name="Gather_170443" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="109,30,32,33">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Constant_167451" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="612360" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_167453" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="612360" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.vision_model.embeddings/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.vision_model.embeddings/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="117,118">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Constant_170659" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="612368" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.vision_model.embeddings/aten::flatten/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="114">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.vision_model.embeddings/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="612392" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.vision_model.embeddings/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="115">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.vision_model.embeddings/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="120,embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.vision_model.embeddings/aten::slice/Slice_2" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="612404" size="4096" />
+			<output>
+				<port id="0" precision="FP32" names="123">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="__module.vision_model.embeddings/aten::permute/Transpose" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1024, 32, 32" offset="616500" size="4194304" />
+			<output>
+				<port id="0" precision="FP32" names="131,input.1">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="__module.vision_model.embeddings/aten::flatten/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Convert_170439" type="Convert" version="opset1">
+			<data destination_type="i64" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Constant_167757" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4810804" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="Constant_167758" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="612352" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="29" name="Gather_167759" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="Convert_170450" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_146481" type="Const" version="opset1">
+			<data element_type="i32" shape="2" offset="4810820" size="8" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="__module.vision_model.embeddings/aten::upsample_bicubic2d/Interpolate" type="Interpolate" version="opset11">
+			<data mode="cubic" shape_calculation_mode="sizes" coordinate_transformation_mode="pytorch_half_pixel" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="133">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Constant_146570" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="612360" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Constant_146571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4810828" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="Constant_170452" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4810836" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="Constant_170453" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="612352" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="37" name="Gather_170454" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="110">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="Constant_170456" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4810844" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="Constant_170457" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="612352" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="40" name="Gather_170458" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="112">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="__module.vision_model.embeddings/aten::mul/Multiply" 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="134,135">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="__module.vision_model.embeddings/prim::ListConstruct_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="__module.vision_model.embeddings/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="137">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="__module.vision_model.embeddings/aten::permute/Mod_1" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4810852" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="__module.vision_model.embeddings/aten::permute/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="139,140">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="__module.vision_model.embeddings/aten::cat/Concat_1" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="142,143,position_embedding.1,position_embedding.3">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="__module.vision_model.embeddings/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="144,hidden_states.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="__module.vision_model.encoder.layers.0.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="__module.vision_model.encoder.layers.0.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="Constant_169963" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="4810880" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="__module.vision_model.encoder.layers.0.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="Constant_169964" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="4814976" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="__module.vision_model.encoder.layers.0.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="204,205,x.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="self.vision_model.encoder.layers.0.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="4819072" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="Convert_253590" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="self.vision_model.encoder.layers.0.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="7964800" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="self.vision_model.encoder.layers.0.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="self.vision_model.encoder.layers.0.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="__module.vision_model.encoder.layers.0.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="Constant_169965" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="7970944" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="__module.vision_model.encoder.layers.0.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="214">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="Constant_170660" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="__module.vision_model.encoder.layers.0.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="218">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="__module.vision_model.encoder.layers.0.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="__module.vision_model.encoder.layers.0.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="220,qkv.1">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="66" name="88" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="612352" size="8" />
+			<output>
+				<port id="0" precision="I64" names="88" />
+			</output>
+		</layer>
+		<layer id="67" name="__module.vision_model.encoder.layers.0.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="__module.vision_model.encoder.layers.0.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="222,q.1">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="Constant_169966" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="__module.vision_model.encoder.layers.0.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="225">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="__module.vision_model.encoder.layers.0.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="223,k.1">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="__module.vision_model.encoder.layers.0.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="224,v.1">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="Constant_168415" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="74" name="Constant_168416" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="75" name="__module.vision_model.encoder.layers.0.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="230">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="__module.vision_model.encoder.layers.0.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="77" name="__module.vision_model.encoder.layers.0.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="231">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="78" name="Constant_170661" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="79" name="__module.vision_model.encoder.layers.0.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="233">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="Constant_169355" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="7983364" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="Convert_253758" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="Constant_169355/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="9031940" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="83" name="Constant_169355/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="Constant_169355/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="Multiply_169157" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="86" name="Constant_169967" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="9033988" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="__module.vision_model.encoder.layers.0/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="238">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="__module.vision_model.encoder.layers.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="239,hidden_states.3">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="__module.vision_model.encoder.layers.0.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="__module.vision_model.encoder.layers.0.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="91" name="Constant_169968" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="9038084" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="92" name="__module.vision_model.encoder.layers.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="93" name="Constant_169969" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="9042180" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="__module.vision_model.encoder.layers.0.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="243,244">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="self.vision_model.encoder.layers.0.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="9046276" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Convert_253247" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="self.vision_model.encoder.layers.0.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="13240580" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="self.vision_model.encoder.layers.0.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="self.vision_model.encoder.layers.0.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="__module.vision_model.encoder.layers.0.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="Constant_169970" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="13248772" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="__module.vision_model.encoder.layers.0.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="250">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="__module.vision_model.encoder.layers.0.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="251">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="Constant_169363" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="13265156" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="Convert_253254" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="Constant_169363/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="17459460" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="Constant_169363/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="Constant_169363/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="Multiply_169161" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="Constant_169971" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="17461508" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="__module.vision_model.encoder.layers.0/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="255">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="__module.vision_model.encoder.layers.0/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="256,hidden_states.5">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="__module.vision_model.encoder.layers.1.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="__module.vision_model.encoder.layers.1.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="Constant_169972" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="17465604" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="__module.vision_model.encoder.layers.1.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="Constant_169973" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="17469700" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="__module.vision_model.encoder.layers.1.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="268,269,x.3">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="self.vision_model.encoder.layers.1.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="17473796" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="Convert_253597" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="self.vision_model.encoder.layers.1.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="20619524" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="self.vision_model.encoder.layers.1.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="self.vision_model.encoder.layers.1.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="__module.vision_model.encoder.layers.1.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="Constant_169974" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="20625668" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="__module.vision_model.encoder.layers.1.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="278">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="Constant_170662" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="128" name="__module.vision_model.encoder.layers.1.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="282">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="129" name="__module.vision_model.encoder.layers.1.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="__module.vision_model.encoder.layers.1.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="284,qkv.3">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="131" name="__module.vision_model.encoder.layers.1.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="__module.vision_model.encoder.layers.1.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="286,q.3">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="Constant_169975" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="134" name="__module.vision_model.encoder.layers.1.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="289">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="__module.vision_model.encoder.layers.1.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="287,k.3">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="__module.vision_model.encoder.layers.1.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="288,v.3">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="Constant_168446" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="138" name="Constant_168447" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="139" name="__module.vision_model.encoder.layers.1.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="294">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="__module.vision_model.encoder.layers.1.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="141" name="__module.vision_model.encoder.layers.1.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="295">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="Constant_170663" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="__module.vision_model.encoder.layers.1.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="297">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="Constant_169371" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="20637956" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="145" name="Convert_253765" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="Constant_169371/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="21686532" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="147" name="Constant_169371/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="Constant_169371/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="Multiply_169165" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="150" name="Constant_169976" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="21688580" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="__module.vision_model.encoder.layers.1/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="302">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="__module.vision_model.encoder.layers.1/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="303,hidden_states.7">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="__module.vision_model.encoder.layers.1.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="154" name="__module.vision_model.encoder.layers.1.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="Constant_169977" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="21692676" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="156" name="__module.vision_model.encoder.layers.1.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="Constant_169978" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="21696772" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="__module.vision_model.encoder.layers.1.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="307,308">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="self.vision_model.encoder.layers.1.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="21700868" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="Convert_253261" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="self.vision_model.encoder.layers.1.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="25895172" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="self.vision_model.encoder.layers.1.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="163" name="self.vision_model.encoder.layers.1.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="164" name="__module.vision_model.encoder.layers.1.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="Constant_169979" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="25903364" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="166" name="__module.vision_model.encoder.layers.1.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="314">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="167" name="__module.vision_model.encoder.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="315">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="168" name="Constant_169379" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="25919748" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="Convert_253268" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="Constant_169379/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="30114052" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="Constant_169379/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="Constant_169379/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="173" name="Multiply_169169" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="Constant_169980" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="30116100" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="175" name="__module.vision_model.encoder.layers.1/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="319">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="176" name="__module.vision_model.encoder.layers.1/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="320,hidden_states.9">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="__module.vision_model.encoder.layers.2.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="__module.vision_model.encoder.layers.2.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="Constant_169981" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="30120196" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="__module.vision_model.encoder.layers.2.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="Constant_169982" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="30124292" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="__module.vision_model.encoder.layers.2.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="332,333,x.5">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="self.vision_model.encoder.layers.2.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="30128388" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="184" name="Convert_253604" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="185" name="self.vision_model.encoder.layers.2.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="33274116" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="186" name="self.vision_model.encoder.layers.2.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="187" name="self.vision_model.encoder.layers.2.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="__module.vision_model.encoder.layers.2.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="Constant_169983" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="33280260" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="__module.vision_model.encoder.layers.2.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="342">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="Constant_170664" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="__module.vision_model.encoder.layers.2.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="346">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="193" name="__module.vision_model.encoder.layers.2.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="__module.vision_model.encoder.layers.2.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="348,qkv.5">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="195" name="__module.vision_model.encoder.layers.2.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="196" name="__module.vision_model.encoder.layers.2.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="350,q.5">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="197" name="Constant_169984" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="198" name="__module.vision_model.encoder.layers.2.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="353">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="__module.vision_model.encoder.layers.2.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="351,k.5">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="200" name="__module.vision_model.encoder.layers.2.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="352,v.5">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="201" name="Constant_168477" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="202" name="Constant_168478" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="203" name="__module.vision_model.encoder.layers.2.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="358">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="204" name="__module.vision_model.encoder.layers.2.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="205" name="__module.vision_model.encoder.layers.2.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="359">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="Constant_170665" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="__module.vision_model.encoder.layers.2.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="361">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="Constant_169387" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="33292548" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="209" name="Convert_253772" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="210" name="Constant_169387/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="34341124" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="Constant_169387/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="212" name="Constant_169387/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="213" name="Multiply_169173" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="Constant_169985" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="34343172" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="215" name="__module.vision_model.encoder.layers.2/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="366">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="216" name="__module.vision_model.encoder.layers.2/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="367,hidden_states.11">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="__module.vision_model.encoder.layers.2.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="__module.vision_model.encoder.layers.2.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="Constant_169986" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="34347268" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="220" name="__module.vision_model.encoder.layers.2.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="Constant_169987" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="34351364" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="__module.vision_model.encoder.layers.2.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="371,372">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="self.vision_model.encoder.layers.2.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="34355460" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="Convert_253275" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="225" name="self.vision_model.encoder.layers.2.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="38549764" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="self.vision_model.encoder.layers.2.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="self.vision_model.encoder.layers.2.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="__module.vision_model.encoder.layers.2.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="Constant_169988" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="38557956" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="__module.vision_model.encoder.layers.2.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="378">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="__module.vision_model.encoder.layers.2.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="379">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="Constant_169395" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="38574340" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="Convert_253282" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="Constant_169395/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="42768644" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="Constant_169395/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="Constant_169395/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="Multiply_169177" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="Constant_169989" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="42770692" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="__module.vision_model.encoder.layers.2/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="383">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="__module.vision_model.encoder.layers.2/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="384,hidden_states.13">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="__module.vision_model.encoder.layers.3.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="__module.vision_model.encoder.layers.3.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="Constant_169990" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="42774788" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="244" name="__module.vision_model.encoder.layers.3.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="Constant_169991" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="42778884" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="246" name="__module.vision_model.encoder.layers.3.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="396,397,x.7">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="self.vision_model.encoder.layers.3.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="42782980" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="Convert_253611" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="self.vision_model.encoder.layers.3.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="45928708" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="self.vision_model.encoder.layers.3.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="self.vision_model.encoder.layers.3.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="__module.vision_model.encoder.layers.3.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="Constant_169992" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="45934852" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="__module.vision_model.encoder.layers.3.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="406">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="Constant_170666" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="__module.vision_model.encoder.layers.3.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="410">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="__module.vision_model.encoder.layers.3.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="__module.vision_model.encoder.layers.3.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="412,qkv.7">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="__module.vision_model.encoder.layers.3.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="__module.vision_model.encoder.layers.3.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="414,q.7">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="Constant_169993" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="__module.vision_model.encoder.layers.3.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="417">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="__module.vision_model.encoder.layers.3.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="415,k.7">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="264" name="__module.vision_model.encoder.layers.3.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="416,v.7">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="Constant_168508" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="266" name="Constant_168509" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="267" name="__module.vision_model.encoder.layers.3.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="422">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="__module.vision_model.encoder.layers.3.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="__module.vision_model.encoder.layers.3.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="423">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="Constant_170667" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="__module.vision_model.encoder.layers.3.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="425">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="Constant_169403" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="45947140" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="273" name="Convert_253779" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="274" name="Constant_169403/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="46995716" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="Constant_169403/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="Constant_169403/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="Multiply_169181" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="Constant_169994" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="46997764" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="__module.vision_model.encoder.layers.3/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="430">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="280" name="__module.vision_model.encoder.layers.3/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="431,hidden_states.15">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="__module.vision_model.encoder.layers.3.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="282" name="__module.vision_model.encoder.layers.3.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="Constant_169995" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="47001860" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="__module.vision_model.encoder.layers.3.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="Constant_169996" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="47005956" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="__module.vision_model.encoder.layers.3.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="435,436">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="self.vision_model.encoder.layers.3.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="47010052" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="Convert_253289" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="self.vision_model.encoder.layers.3.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="51204356" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="self.vision_model.encoder.layers.3.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="self.vision_model.encoder.layers.3.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="__module.vision_model.encoder.layers.3.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="Constant_169997" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="51212548" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="__module.vision_model.encoder.layers.3.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="442">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="__module.vision_model.encoder.layers.3.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="443">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="Constant_169411" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="51228932" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="Convert_253296" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="Constant_169411/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="55423236" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="Constant_169411/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="Constant_169411/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="Multiply_169185" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="302" name="Constant_169998" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="55425284" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="303" name="__module.vision_model.encoder.layers.3/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="447">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="__module.vision_model.encoder.layers.3/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="448,hidden_states.17">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="305" name="__module.vision_model.encoder.layers.4.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="306" name="__module.vision_model.encoder.layers.4.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="Constant_169999" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="55429380" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="__module.vision_model.encoder.layers.4.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="Constant_170000" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="55433476" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="__module.vision_model.encoder.layers.4.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="460,461,x.9">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="self.vision_model.encoder.layers.4.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="55437572" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="Convert_253618" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="self.vision_model.encoder.layers.4.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="58583300" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="self.vision_model.encoder.layers.4.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="self.vision_model.encoder.layers.4.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="__module.vision_model.encoder.layers.4.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="Constant_170001" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="58589444" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="__module.vision_model.encoder.layers.4.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="470">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="319" name="Constant_170668" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="__module.vision_model.encoder.layers.4.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="474">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="321" name="__module.vision_model.encoder.layers.4.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="__module.vision_model.encoder.layers.4.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="476,qkv.9">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="__module.vision_model.encoder.layers.4.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="__module.vision_model.encoder.layers.4.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="478,q.9">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="Constant_170002" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="__module.vision_model.encoder.layers.4.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="481">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="__module.vision_model.encoder.layers.4.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="479,k.9">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="328" name="__module.vision_model.encoder.layers.4.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="480,v.9">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="329" name="Constant_168539" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="330" name="Constant_168540" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="331" name="__module.vision_model.encoder.layers.4.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="486">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="332" name="__module.vision_model.encoder.layers.4.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="__module.vision_model.encoder.layers.4.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="487">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="334" name="Constant_170669" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="__module.vision_model.encoder.layers.4.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="489">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="Constant_169419" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="58601732" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="Convert_253786" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="Constant_169419/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="59650308" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="Constant_169419/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="Constant_169419/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="Multiply_169189" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="Constant_170003" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="59652356" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="__module.vision_model.encoder.layers.4/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="494">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="344" name="__module.vision_model.encoder.layers.4/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="495,hidden_states.19">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="__module.vision_model.encoder.layers.4.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="__module.vision_model.encoder.layers.4.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="347" name="Constant_170004" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="59656452" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="__module.vision_model.encoder.layers.4.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="349" name="Constant_170005" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="59660548" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="350" name="__module.vision_model.encoder.layers.4.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="499,500">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="self.vision_model.encoder.layers.4.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="59664644" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="Convert_253303" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="self.vision_model.encoder.layers.4.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="63858948" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="354" name="self.vision_model.encoder.layers.4.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="self.vision_model.encoder.layers.4.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="356" name="__module.vision_model.encoder.layers.4.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="357" name="Constant_170006" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="63867140" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="__module.vision_model.encoder.layers.4.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="506">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="__module.vision_model.encoder.layers.4.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="507">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="Constant_169427" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="63883524" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="Convert_253310" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="Constant_169427/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="68077828" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="363" name="Constant_169427/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="Constant_169427/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="Multiply_169193" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="366" name="Constant_170007" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="68079876" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="__module.vision_model.encoder.layers.4/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="511">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="368" name="__module.vision_model.encoder.layers.4/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="512,hidden_states.21">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="__module.vision_model.encoder.layers.5.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="__module.vision_model.encoder.layers.5.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="Constant_170008" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="68083972" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="__module.vision_model.encoder.layers.5.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="Constant_170009" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="68088068" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="__module.vision_model.encoder.layers.5.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="524,525,x.11">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="375" name="self.vision_model.encoder.layers.5.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="68092164" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="Convert_253625" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="self.vision_model.encoder.layers.5.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="71237892" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="self.vision_model.encoder.layers.5.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="self.vision_model.encoder.layers.5.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="380" name="__module.vision_model.encoder.layers.5.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="Constant_170010" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="71244036" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="__module.vision_model.encoder.layers.5.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="534">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="383" name="Constant_170670" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="384" name="__module.vision_model.encoder.layers.5.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="538">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="__module.vision_model.encoder.layers.5.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="386" name="__module.vision_model.encoder.layers.5.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="540,qkv.11">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="__module.vision_model.encoder.layers.5.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="388" name="__module.vision_model.encoder.layers.5.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="542,q.11">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="Constant_170011" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="390" name="__module.vision_model.encoder.layers.5.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="545">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="391" name="__module.vision_model.encoder.layers.5.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="543,k.11">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="392" name="__module.vision_model.encoder.layers.5.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="544,v.11">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="393" name="Constant_168570" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="394" name="Constant_168571" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="395" name="__module.vision_model.encoder.layers.5.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="550">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="396" name="__module.vision_model.encoder.layers.5.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="__module.vision_model.encoder.layers.5.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="551">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="Constant_170671" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="399" name="__module.vision_model.encoder.layers.5.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="553">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="400" name="Constant_169435" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="71256324" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="401" name="Convert_253793" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="402" name="Constant_169435/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="72304900" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="403" name="Constant_169435/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="404" name="Constant_169435/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="405" name="Multiply_169197" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="406" name="Constant_170012" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="72306948" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="__module.vision_model.encoder.layers.5/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="558">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="408" name="__module.vision_model.encoder.layers.5/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="559,hidden_states.23">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="409" name="__module.vision_model.encoder.layers.5.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="__module.vision_model.encoder.layers.5.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="Constant_170013" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="72311044" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="412" name="__module.vision_model.encoder.layers.5.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="413" name="Constant_170014" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="72315140" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="414" name="__module.vision_model.encoder.layers.5.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="563,564">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="415" name="self.vision_model.encoder.layers.5.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="72319236" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="Convert_253317" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="417" name="self.vision_model.encoder.layers.5.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="76513540" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="self.vision_model.encoder.layers.5.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="self.vision_model.encoder.layers.5.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="__module.vision_model.encoder.layers.5.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="Constant_170015" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="76521732" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="__module.vision_model.encoder.layers.5.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="570">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="__module.vision_model.encoder.layers.5.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="571">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="Constant_169443" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="76538116" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="425" name="Convert_253324" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="Constant_169443/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="80732420" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="Constant_169443/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="428" name="Constant_169443/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="429" name="Multiply_169201" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="430" name="Constant_170016" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="80734468" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="__module.vision_model.encoder.layers.5/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="575">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="__module.vision_model.encoder.layers.5/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="576,hidden_states.25">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="__module.vision_model.encoder.layers.6.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="__module.vision_model.encoder.layers.6.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="Constant_170017" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="80738564" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="__module.vision_model.encoder.layers.6.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="Constant_170018" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="80742660" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="__module.vision_model.encoder.layers.6.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="588,589,x.13">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="self.vision_model.encoder.layers.6.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="80746756" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="440" name="Convert_253632" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="self.vision_model.encoder.layers.6.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="83892484" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="self.vision_model.encoder.layers.6.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="self.vision_model.encoder.layers.6.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="__module.vision_model.encoder.layers.6.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="445" name="Constant_170019" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="83898628" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="446" name="__module.vision_model.encoder.layers.6.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="598">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="447" name="Constant_170672" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="__module.vision_model.encoder.layers.6.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="602">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="__module.vision_model.encoder.layers.6.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="__module.vision_model.encoder.layers.6.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="604,qkv.13">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="451" name="__module.vision_model.encoder.layers.6.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="452" name="__module.vision_model.encoder.layers.6.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="606,q.13">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="453" name="Constant_170020" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="454" name="__module.vision_model.encoder.layers.6.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="609">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="455" name="__module.vision_model.encoder.layers.6.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="607,k.13">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="456" name="__module.vision_model.encoder.layers.6.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="608,v.13">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="457" name="Constant_168601" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="458" name="Constant_168602" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="459" name="__module.vision_model.encoder.layers.6.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="614">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="460" name="__module.vision_model.encoder.layers.6.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="__module.vision_model.encoder.layers.6.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="615">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="Constant_170673" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="__module.vision_model.encoder.layers.6.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="617">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="Constant_169451" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="83910916" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="465" name="Convert_253800" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="Constant_169451/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="84959492" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="Constant_169451/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="468" name="Constant_169451/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="469" name="Multiply_169205" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="470" name="Constant_170021" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="84961540" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="471" name="__module.vision_model.encoder.layers.6/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="622">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="472" name="__module.vision_model.encoder.layers.6/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="623,hidden_states.27">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="__module.vision_model.encoder.layers.6.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="__module.vision_model.encoder.layers.6.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="Constant_170022" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="84965636" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="476" name="__module.vision_model.encoder.layers.6.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="477" name="Constant_170023" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="84969732" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="__module.vision_model.encoder.layers.6.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="627,628">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="self.vision_model.encoder.layers.6.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="84973828" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="Convert_253331" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="self.vision_model.encoder.layers.6.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="89168132" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="self.vision_model.encoder.layers.6.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="self.vision_model.encoder.layers.6.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="484" name="__module.vision_model.encoder.layers.6.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="Constant_170024" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="89176324" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="__module.vision_model.encoder.layers.6.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="634">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="487" name="__module.vision_model.encoder.layers.6.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="635">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="Constant_169459" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="89192708" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="Convert_253338" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="Constant_169459/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="93387012" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="491" name="Constant_169459/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="492" name="Constant_169459/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="Multiply_169209" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="Constant_170025" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="93389060" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="495" name="__module.vision_model.encoder.layers.6/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="639">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="496" name="__module.vision_model.encoder.layers.6/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="640,hidden_states.29">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="497" name="__module.vision_model.encoder.layers.7.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="498" name="__module.vision_model.encoder.layers.7.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="499" name="Constant_170026" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="93393156" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="__module.vision_model.encoder.layers.7.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="Constant_170027" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="93397252" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="502" name="__module.vision_model.encoder.layers.7.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="652,653,x.15">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="503" name="self.vision_model.encoder.layers.7.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="93401348" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="Convert_253639" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="self.vision_model.encoder.layers.7.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="96547076" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="506" name="self.vision_model.encoder.layers.7.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="507" name="self.vision_model.encoder.layers.7.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="508" name="__module.vision_model.encoder.layers.7.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="Constant_170028" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="96553220" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="510" name="__module.vision_model.encoder.layers.7.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="662">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="511" name="Constant_170674" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="__module.vision_model.encoder.layers.7.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="666">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="513" name="__module.vision_model.encoder.layers.7.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="__module.vision_model.encoder.layers.7.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="668,qkv.15">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="515" name="__module.vision_model.encoder.layers.7.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="516" name="__module.vision_model.encoder.layers.7.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="670,q.15">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="517" name="Constant_170029" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="518" name="__module.vision_model.encoder.layers.7.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="673">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="519" name="__module.vision_model.encoder.layers.7.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="671,k.15">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="520" name="__module.vision_model.encoder.layers.7.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="672,v.15">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="521" name="Constant_168632" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="522" name="Constant_168633" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="523" name="__module.vision_model.encoder.layers.7.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="678">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="524" name="__module.vision_model.encoder.layers.7.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="525" name="__module.vision_model.encoder.layers.7.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="679">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="Constant_170675" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="527" name="__module.vision_model.encoder.layers.7.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="681">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="528" name="Constant_169467" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="96565508" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="529" name="Convert_253807" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="Constant_169467/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="97614084" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="531" name="Constant_169467/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="532" name="Constant_169467/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="Multiply_169213" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="534" name="Constant_170030" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="97616132" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="535" name="__module.vision_model.encoder.layers.7/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="686">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="__module.vision_model.encoder.layers.7/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="687,hidden_states.31">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="537" name="__module.vision_model.encoder.layers.7.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="538" name="__module.vision_model.encoder.layers.7.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="539" name="Constant_170031" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="97620228" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="540" name="__module.vision_model.encoder.layers.7.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="541" name="Constant_170032" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="97624324" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="542" name="__module.vision_model.encoder.layers.7.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="691,692">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="543" name="self.vision_model.encoder.layers.7.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="97628420" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="544" name="Convert_253345" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="545" name="self.vision_model.encoder.layers.7.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="101822724" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="546" name="self.vision_model.encoder.layers.7.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="self.vision_model.encoder.layers.7.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="__module.vision_model.encoder.layers.7.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="549" name="Constant_170033" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="101830916" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="550" name="__module.vision_model.encoder.layers.7.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="698">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="__module.vision_model.encoder.layers.7.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="699">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="Constant_169475" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="101847300" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="Convert_253352" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="554" name="Constant_169475/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="106041604" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="555" name="Constant_169475/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="556" name="Constant_169475/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="557" name="Multiply_169217" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="558" name="Constant_170034" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="106043652" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="559" name="__module.vision_model.encoder.layers.7/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="703">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="560" name="__module.vision_model.encoder.layers.7/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="704,hidden_states.33">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="__module.vision_model.encoder.layers.8.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="562" name="__module.vision_model.encoder.layers.8.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="Constant_170035" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="106047748" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="564" name="__module.vision_model.encoder.layers.8.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="565" name="Constant_170036" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="106051844" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="566" name="__module.vision_model.encoder.layers.8.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="716,717,x.17">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="self.vision_model.encoder.layers.8.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="106055940" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="568" name="Convert_253646" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="569" name="self.vision_model.encoder.layers.8.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="109201668" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="self.vision_model.encoder.layers.8.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="self.vision_model.encoder.layers.8.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="572" name="__module.vision_model.encoder.layers.8.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="573" name="Constant_170037" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="109207812" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="__module.vision_model.encoder.layers.8.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="726">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="575" name="Constant_170676" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="576" name="__module.vision_model.encoder.layers.8.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="730">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="577" name="__module.vision_model.encoder.layers.8.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="578" name="__module.vision_model.encoder.layers.8.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="732,qkv.17">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="__module.vision_model.encoder.layers.8.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="__module.vision_model.encoder.layers.8.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="734,q.17">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="581" name="Constant_170038" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="__module.vision_model.encoder.layers.8.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="737">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="583" name="__module.vision_model.encoder.layers.8.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="735,k.17">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="584" name="__module.vision_model.encoder.layers.8.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="736,v.17">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="Constant_168663" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="586" name="Constant_168664" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="587" name="__module.vision_model.encoder.layers.8.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="742">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="588" name="__module.vision_model.encoder.layers.8.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="589" name="__module.vision_model.encoder.layers.8.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="743">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="590" name="Constant_170677" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="591" name="__module.vision_model.encoder.layers.8.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="745">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="592" name="Constant_169483" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="109220100" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="Convert_253814" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="594" name="Constant_169483/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="110268676" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="595" name="Constant_169483/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="596" name="Constant_169483/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="Multiply_169221" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="Constant_170039" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="110270724" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="599" name="__module.vision_model.encoder.layers.8/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="750">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="__module.vision_model.encoder.layers.8/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="751,hidden_states.35">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="601" name="__module.vision_model.encoder.layers.8.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="602" name="__module.vision_model.encoder.layers.8.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="603" name="Constant_170040" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="110274820" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="604" name="__module.vision_model.encoder.layers.8.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="Constant_170041" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="110278916" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="606" name="__module.vision_model.encoder.layers.8.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="755,756">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="607" name="self.vision_model.encoder.layers.8.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="110283012" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="608" name="Convert_253359" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="609" name="self.vision_model.encoder.layers.8.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="114477316" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="610" name="self.vision_model.encoder.layers.8.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="611" name="self.vision_model.encoder.layers.8.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="612" name="__module.vision_model.encoder.layers.8.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="613" name="Constant_170042" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="114485508" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="614" name="__module.vision_model.encoder.layers.8.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="762">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="615" name="__module.vision_model.encoder.layers.8.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="763">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="616" name="Constant_169491" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="114501892" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="617" name="Convert_253366" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="618" name="Constant_169491/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="118696196" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="Constant_169491/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="620" name="Constant_169491/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="621" name="Multiply_169225" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="622" name="Constant_170043" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="118698244" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="623" name="__module.vision_model.encoder.layers.8/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="767">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="624" name="__module.vision_model.encoder.layers.8/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="768,hidden_states.37">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="625" name="__module.vision_model.encoder.layers.9.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="626" name="__module.vision_model.encoder.layers.9.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="627" name="Constant_170044" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="118702340" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="628" name="__module.vision_model.encoder.layers.9.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="Constant_170045" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="118706436" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="__module.vision_model.encoder.layers.9.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="780,781,x.19">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="631" name="self.vision_model.encoder.layers.9.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="118710532" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="632" name="Convert_253653" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="633" name="self.vision_model.encoder.layers.9.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="121856260" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="634" name="self.vision_model.encoder.layers.9.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="635" name="self.vision_model.encoder.layers.9.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="636" name="__module.vision_model.encoder.layers.9.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="637" name="Constant_170046" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="121862404" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="__module.vision_model.encoder.layers.9.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="790">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="639" name="Constant_170678" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="640" name="__module.vision_model.encoder.layers.9.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="794">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="__module.vision_model.encoder.layers.9.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="642" name="__module.vision_model.encoder.layers.9.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="796,qkv.19">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="643" name="__module.vision_model.encoder.layers.9.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="644" name="__module.vision_model.encoder.layers.9.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="798,q.19">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="645" name="Constant_170047" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="646" name="__module.vision_model.encoder.layers.9.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="801">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="647" name="__module.vision_model.encoder.layers.9.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="799,k.19">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="648" name="__module.vision_model.encoder.layers.9.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="800,v.19">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="649" name="Constant_168694" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="650" name="Constant_168695" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="651" name="__module.vision_model.encoder.layers.9.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="806">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="652" name="__module.vision_model.encoder.layers.9.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="653" name="__module.vision_model.encoder.layers.9.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="807">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="654" name="Constant_170679" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="655" name="__module.vision_model.encoder.layers.9.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="809">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="656" name="Constant_169499" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="121874692" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="657" name="Convert_253821" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="658" name="Constant_169499/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="122923268" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="659" name="Constant_169499/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="660" name="Constant_169499/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="661" name="Multiply_169229" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="662" name="Constant_170048" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="122925316" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="663" name="__module.vision_model.encoder.layers.9/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="814">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="664" name="__module.vision_model.encoder.layers.9/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="815,hidden_states.39">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="665" name="__module.vision_model.encoder.layers.9.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="666" name="__module.vision_model.encoder.layers.9.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="667" name="Constant_170049" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="122929412" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="668" name="__module.vision_model.encoder.layers.9.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="669" name="Constant_170050" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="122933508" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="670" name="__module.vision_model.encoder.layers.9.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="819,820">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="671" name="self.vision_model.encoder.layers.9.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="122937604" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="672" name="Convert_253373" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="673" name="self.vision_model.encoder.layers.9.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="127131908" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="674" name="self.vision_model.encoder.layers.9.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="self.vision_model.encoder.layers.9.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="676" name="__module.vision_model.encoder.layers.9.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="677" name="Constant_170051" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="127140100" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="678" name="__module.vision_model.encoder.layers.9.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="826">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="679" name="__module.vision_model.encoder.layers.9.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="827">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="680" name="Constant_169507" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="127156484" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="681" name="Convert_253380" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="682" name="Constant_169507/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="131350788" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="683" name="Constant_169507/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="684" name="Constant_169507/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="685" name="Multiply_169233" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="686" name="Constant_170052" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="131352836" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="687" name="__module.vision_model.encoder.layers.9/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="831">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="688" name="__module.vision_model.encoder.layers.9/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="832,hidden_states.41">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="689" name="__module.vision_model.encoder.layers.10.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="690" name="__module.vision_model.encoder.layers.10.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="691" name="Constant_170053" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="131356932" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="692" name="__module.vision_model.encoder.layers.10.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="693" name="Constant_170054" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="131361028" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="694" name="__module.vision_model.encoder.layers.10.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="844,845,x.21">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="695" name="self.vision_model.encoder.layers.10.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="131365124" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="696" name="Convert_253660" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="697" name="self.vision_model.encoder.layers.10.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="134510852" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="698" name="self.vision_model.encoder.layers.10.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="699" name="self.vision_model.encoder.layers.10.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="700" name="__module.vision_model.encoder.layers.10.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="701" name="Constant_170055" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="134516996" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="702" name="__module.vision_model.encoder.layers.10.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="854">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="703" name="Constant_170680" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="704" name="__module.vision_model.encoder.layers.10.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="858">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="705" name="__module.vision_model.encoder.layers.10.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="706" name="__module.vision_model.encoder.layers.10.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="860,qkv.21">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="707" name="__module.vision_model.encoder.layers.10.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="708" name="__module.vision_model.encoder.layers.10.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="862,q.21">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="709" name="Constant_170056" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="710" name="__module.vision_model.encoder.layers.10.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="865">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="711" name="__module.vision_model.encoder.layers.10.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="863,k.21">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="712" name="__module.vision_model.encoder.layers.10.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="864,v.21">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="713" name="Constant_168725" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="714" name="Constant_168726" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="715" name="__module.vision_model.encoder.layers.10.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="870">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="716" name="__module.vision_model.encoder.layers.10.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="717" name="__module.vision_model.encoder.layers.10.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="871">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="718" name="Constant_170681" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="719" name="__module.vision_model.encoder.layers.10.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="873">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="720" name="Constant_169515" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="134529284" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="721" name="Convert_253828" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="722" name="Constant_169515/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="135577860" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="723" name="Constant_169515/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="724" name="Constant_169515/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="725" name="Multiply_169237" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="726" name="Constant_170057" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="135579908" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="727" name="__module.vision_model.encoder.layers.10/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="878">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="728" name="__module.vision_model.encoder.layers.10/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="879,hidden_states.43">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="729" name="__module.vision_model.encoder.layers.10.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="730" name="__module.vision_model.encoder.layers.10.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="731" name="Constant_170058" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="135584004" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="732" name="__module.vision_model.encoder.layers.10.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="733" name="Constant_170059" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="135588100" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="734" name="__module.vision_model.encoder.layers.10.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="883,884">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="735" name="self.vision_model.encoder.layers.10.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="135592196" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="736" name="Convert_253387" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="737" name="self.vision_model.encoder.layers.10.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="139786500" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="738" name="self.vision_model.encoder.layers.10.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="739" name="self.vision_model.encoder.layers.10.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="740" name="__module.vision_model.encoder.layers.10.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="741" name="Constant_170060" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="139794692" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="742" name="__module.vision_model.encoder.layers.10.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="890">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="743" name="__module.vision_model.encoder.layers.10.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="891">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="744" name="Constant_169523" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="139811076" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="745" name="Convert_253394" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="746" name="Constant_169523/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="144005380" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="747" name="Constant_169523/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="748" name="Constant_169523/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="749" name="Multiply_169241" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="750" name="Constant_170061" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="144007428" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="751" name="__module.vision_model.encoder.layers.10/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="895">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="752" name="__module.vision_model.encoder.layers.10/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="896,hidden_states.45">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="753" name="__module.vision_model.encoder.layers.11.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="754" name="__module.vision_model.encoder.layers.11.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="755" name="Constant_170062" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="144011524" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="756" name="__module.vision_model.encoder.layers.11.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="757" name="Constant_170063" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="144015620" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="758" name="__module.vision_model.encoder.layers.11.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="908,909,x.23">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="759" name="self.vision_model.encoder.layers.11.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="144019716" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="760" name="Convert_253667" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="761" name="self.vision_model.encoder.layers.11.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="147165444" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="762" name="self.vision_model.encoder.layers.11.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="763" name="self.vision_model.encoder.layers.11.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="764" name="__module.vision_model.encoder.layers.11.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="765" name="Constant_170064" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="147171588" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="766" name="__module.vision_model.encoder.layers.11.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="918">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="767" name="Constant_170682" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="768" name="__module.vision_model.encoder.layers.11.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="922">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="769" name="__module.vision_model.encoder.layers.11.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="770" name="__module.vision_model.encoder.layers.11.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="924,qkv.23">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="771" name="__module.vision_model.encoder.layers.11.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="772" name="__module.vision_model.encoder.layers.11.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="926,q.23">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="773" name="Constant_170065" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="774" name="__module.vision_model.encoder.layers.11.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="929">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="775" name="__module.vision_model.encoder.layers.11.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="927,k.23">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="776" name="__module.vision_model.encoder.layers.11.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="928,v.23">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="777" name="Constant_168756" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="778" name="Constant_168757" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="779" name="__module.vision_model.encoder.layers.11.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="934">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="780" name="__module.vision_model.encoder.layers.11.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="781" name="__module.vision_model.encoder.layers.11.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="935">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="782" name="Constant_170683" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="783" name="__module.vision_model.encoder.layers.11.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="937">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="784" name="Constant_169531" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="147183876" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="785" name="Convert_253835" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="786" name="Constant_169531/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="148232452" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="787" name="Constant_169531/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="788" name="Constant_169531/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="789" name="Multiply_169245" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="790" name="Constant_170066" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="148234500" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="791" name="__module.vision_model.encoder.layers.11/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="942">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="792" name="__module.vision_model.encoder.layers.11/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="943,hidden_states.47">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="793" name="__module.vision_model.encoder.layers.11.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="794" name="__module.vision_model.encoder.layers.11.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="795" name="Constant_170067" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="148238596" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="796" name="__module.vision_model.encoder.layers.11.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="797" name="Constant_170068" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="148242692" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="798" name="__module.vision_model.encoder.layers.11.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="947,948">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="799" name="self.vision_model.encoder.layers.11.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="148246788" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="800" name="Convert_253401" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="801" name="self.vision_model.encoder.layers.11.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="152441092" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="802" name="self.vision_model.encoder.layers.11.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="803" name="self.vision_model.encoder.layers.11.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="804" name="__module.vision_model.encoder.layers.11.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="805" name="Constant_170069" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="152449284" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="806" name="__module.vision_model.encoder.layers.11.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="954">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="807" name="__module.vision_model.encoder.layers.11.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="955">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="808" name="Constant_169539" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="152465668" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="809" name="Convert_253408" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="810" name="Constant_169539/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="156659972" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="811" name="Constant_169539/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="812" name="Constant_169539/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="813" name="Multiply_169249" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="814" name="Constant_170070" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="156662020" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="815" name="__module.vision_model.encoder.layers.11/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="959">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="816" name="__module.vision_model.encoder.layers.11/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="960,hidden_states.49">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="817" name="__module.vision_model.encoder.layers.12.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="818" name="__module.vision_model.encoder.layers.12.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="819" name="Constant_170071" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="156666116" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="820" name="__module.vision_model.encoder.layers.12.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="821" name="Constant_170072" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="156670212" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="822" name="__module.vision_model.encoder.layers.12.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="972,973,x.25">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="823" name="self.vision_model.encoder.layers.12.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="156674308" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="824" name="Convert_253674" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="825" name="self.vision_model.encoder.layers.12.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="159820036" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="826" name="self.vision_model.encoder.layers.12.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="827" name="self.vision_model.encoder.layers.12.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="828" name="__module.vision_model.encoder.layers.12.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="829" name="Constant_170073" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="159826180" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="830" name="__module.vision_model.encoder.layers.12.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="982">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="831" name="Constant_170684" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="832" name="__module.vision_model.encoder.layers.12.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="986">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="833" name="__module.vision_model.encoder.layers.12.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="834" name="__module.vision_model.encoder.layers.12.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="988,qkv.25">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="835" name="__module.vision_model.encoder.layers.12.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="836" name="__module.vision_model.encoder.layers.12.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="990,q.25">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="837" name="Constant_170074" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="838" name="__module.vision_model.encoder.layers.12.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="993">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="839" name="__module.vision_model.encoder.layers.12.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="991,k.25">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="840" name="__module.vision_model.encoder.layers.12.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="992,v.25">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="841" name="Constant_168787" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="842" name="Constant_168788" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="843" name="__module.vision_model.encoder.layers.12.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="998">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="844" name="__module.vision_model.encoder.layers.12.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="845" name="__module.vision_model.encoder.layers.12.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="999">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="846" name="Constant_170685" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="847" name="__module.vision_model.encoder.layers.12.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1001">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="848" name="Constant_169547" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="159838468" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="849" name="Convert_253842" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="850" name="Constant_169547/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="160887044" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="851" name="Constant_169547/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="852" name="Constant_169547/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="853" name="Multiply_169253" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="854" name="Constant_170075" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="160889092" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="855" name="__module.vision_model.encoder.layers.12/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1006">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="856" name="__module.vision_model.encoder.layers.12/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1007,hidden_states.51">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="857" name="__module.vision_model.encoder.layers.12.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="858" name="__module.vision_model.encoder.layers.12.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="859" name="Constant_170076" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="160893188" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="860" name="__module.vision_model.encoder.layers.12.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="861" name="Constant_170077" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="160897284" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="862" name="__module.vision_model.encoder.layers.12.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1011,1012">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="863" name="self.vision_model.encoder.layers.12.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="160901380" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="864" name="Convert_253415" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="865" name="self.vision_model.encoder.layers.12.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="165095684" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="866" name="self.vision_model.encoder.layers.12.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="867" name="self.vision_model.encoder.layers.12.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="868" name="__module.vision_model.encoder.layers.12.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="869" name="Constant_170078" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="165103876" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="870" name="__module.vision_model.encoder.layers.12.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1018">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="871" name="__module.vision_model.encoder.layers.12.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1019">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="872" name="Constant_169555" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="165120260" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="873" name="Convert_253422" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="874" name="Constant_169555/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="169314564" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="875" name="Constant_169555/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="876" name="Constant_169555/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="877" name="Multiply_169257" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="878" name="Constant_170079" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="169316612" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="879" name="__module.vision_model.encoder.layers.12/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1023">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="880" name="__module.vision_model.encoder.layers.12/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1024,hidden_states.53">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="881" name="__module.vision_model.encoder.layers.13.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="882" name="__module.vision_model.encoder.layers.13.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="883" name="Constant_170080" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="169320708" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="884" name="__module.vision_model.encoder.layers.13.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="885" name="Constant_170081" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="169324804" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="886" name="__module.vision_model.encoder.layers.13.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1036,1037,x.27">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="887" name="self.vision_model.encoder.layers.13.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="169328900" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="888" name="Convert_253681" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="889" name="self.vision_model.encoder.layers.13.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="172474628" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="890" name="self.vision_model.encoder.layers.13.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="891" name="self.vision_model.encoder.layers.13.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="892" name="__module.vision_model.encoder.layers.13.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="893" name="Constant_170082" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="172480772" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="894" name="__module.vision_model.encoder.layers.13.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1046">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="895" name="Constant_170686" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="896" name="__module.vision_model.encoder.layers.13.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1050">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="897" name="__module.vision_model.encoder.layers.13.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="898" name="__module.vision_model.encoder.layers.13.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1052,qkv.27">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="899" name="__module.vision_model.encoder.layers.13.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="900" name="__module.vision_model.encoder.layers.13.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1054,q.27">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="901" name="Constant_170083" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="902" name="__module.vision_model.encoder.layers.13.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1057">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="903" name="__module.vision_model.encoder.layers.13.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1055,k.27">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="904" name="__module.vision_model.encoder.layers.13.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1056,v.27">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="905" name="Constant_168818" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="906" name="Constant_168819" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="907" name="__module.vision_model.encoder.layers.13.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1062">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="908" name="__module.vision_model.encoder.layers.13.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="909" name="__module.vision_model.encoder.layers.13.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1063">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="910" name="Constant_170687" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="911" name="__module.vision_model.encoder.layers.13.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1065">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="912" name="Constant_169563" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="172493060" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="913" name="Convert_253849" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="914" name="Constant_169563/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="173541636" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="915" name="Constant_169563/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="916" name="Constant_169563/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="917" name="Multiply_169261" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="918" name="Constant_170084" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="173543684" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="919" name="__module.vision_model.encoder.layers.13/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1070">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="920" name="__module.vision_model.encoder.layers.13/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1071,hidden_states.55">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="921" name="__module.vision_model.encoder.layers.13.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="922" name="__module.vision_model.encoder.layers.13.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="923" name="Constant_170085" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="173547780" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="924" name="__module.vision_model.encoder.layers.13.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="925" name="Constant_170086" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="173551876" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="926" name="__module.vision_model.encoder.layers.13.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1075,1076">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="927" name="self.vision_model.encoder.layers.13.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="173555972" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="928" name="Convert_253429" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="929" name="self.vision_model.encoder.layers.13.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="177750276" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="930" name="self.vision_model.encoder.layers.13.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="931" name="self.vision_model.encoder.layers.13.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="932" name="__module.vision_model.encoder.layers.13.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="933" name="Constant_170087" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="177758468" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="934" name="__module.vision_model.encoder.layers.13.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1082">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="935" name="__module.vision_model.encoder.layers.13.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1083">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="936" name="Constant_169571" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="177774852" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="937" name="Convert_253436" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="938" name="Constant_169571/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="181969156" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="939" name="Constant_169571/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="940" name="Constant_169571/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="941" name="Multiply_169265" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="942" name="Constant_170088" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="181971204" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="943" name="__module.vision_model.encoder.layers.13/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1087">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="944" name="__module.vision_model.encoder.layers.13/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1088,hidden_states.57">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="945" name="__module.vision_model.encoder.layers.14.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="946" name="__module.vision_model.encoder.layers.14.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="947" name="Constant_170089" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="181975300" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="948" name="__module.vision_model.encoder.layers.14.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="949" name="Constant_170090" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="181979396" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="950" name="__module.vision_model.encoder.layers.14.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1100,1101,x.29">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="951" name="self.vision_model.encoder.layers.14.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="181983492" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="952" name="Convert_253688" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="953" name="self.vision_model.encoder.layers.14.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="185129220" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="954" name="self.vision_model.encoder.layers.14.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="955" name="self.vision_model.encoder.layers.14.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="956" name="__module.vision_model.encoder.layers.14.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="957" name="Constant_170091" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="185135364" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="958" name="__module.vision_model.encoder.layers.14.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1110">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="959" name="Constant_170688" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="960" name="__module.vision_model.encoder.layers.14.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1114">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="961" name="__module.vision_model.encoder.layers.14.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="962" name="__module.vision_model.encoder.layers.14.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1116,qkv.29">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="963" name="__module.vision_model.encoder.layers.14.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="964" name="__module.vision_model.encoder.layers.14.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1118,q.29">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="965" name="Constant_170092" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="966" name="__module.vision_model.encoder.layers.14.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1121">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="967" name="__module.vision_model.encoder.layers.14.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1119,k.29">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="968" name="__module.vision_model.encoder.layers.14.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1120,v.29">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="969" name="Constant_168849" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="970" name="Constant_168850" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="971" name="__module.vision_model.encoder.layers.14.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1126">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="972" name="__module.vision_model.encoder.layers.14.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="973" name="__module.vision_model.encoder.layers.14.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1127">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="974" name="Constant_170689" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="975" name="__module.vision_model.encoder.layers.14.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1129">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="976" name="Constant_169579" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="185147652" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="977" name="Convert_253856" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="978" name="Constant_169579/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="186196228" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="979" name="Constant_169579/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="980" name="Constant_169579/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="981" name="Multiply_169269" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="982" name="Constant_170093" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="186198276" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="983" name="__module.vision_model.encoder.layers.14/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1134">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="984" name="__module.vision_model.encoder.layers.14/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1135,hidden_states.59">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="985" name="__module.vision_model.encoder.layers.14.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="986" name="__module.vision_model.encoder.layers.14.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="987" name="Constant_170094" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="186202372" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="988" name="__module.vision_model.encoder.layers.14.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="989" name="Constant_170095" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="186206468" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="990" name="__module.vision_model.encoder.layers.14.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1139,1140">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="991" name="self.vision_model.encoder.layers.14.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="186210564" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="992" name="Convert_253443" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="993" name="self.vision_model.encoder.layers.14.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="190404868" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="994" name="self.vision_model.encoder.layers.14.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="995" name="self.vision_model.encoder.layers.14.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="996" name="__module.vision_model.encoder.layers.14.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="997" name="Constant_170096" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="190413060" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="998" name="__module.vision_model.encoder.layers.14.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1146">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="999" name="__module.vision_model.encoder.layers.14.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1147">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1000" name="Constant_169587" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="190429444" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1001" name="Convert_253450" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1002" name="Constant_169587/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="194623748" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1003" name="Constant_169587/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1004" name="Constant_169587/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1005" name="Multiply_169273" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1006" name="Constant_170097" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="194625796" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1007" name="__module.vision_model.encoder.layers.14/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1151">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1008" name="__module.vision_model.encoder.layers.14/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1152,hidden_states.61">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1009" name="__module.vision_model.encoder.layers.15.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1010" name="__module.vision_model.encoder.layers.15.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1011" name="Constant_170098" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="194629892" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1012" name="__module.vision_model.encoder.layers.15.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1013" name="Constant_170099" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="194633988" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1014" name="__module.vision_model.encoder.layers.15.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1164,1165,x.31">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1015" name="self.vision_model.encoder.layers.15.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="194638084" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1016" name="Convert_253695" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1017" name="self.vision_model.encoder.layers.15.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="197783812" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1018" name="self.vision_model.encoder.layers.15.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1019" name="self.vision_model.encoder.layers.15.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1020" name="__module.vision_model.encoder.layers.15.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1021" name="Constant_170100" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="197789956" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1022" name="__module.vision_model.encoder.layers.15.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1174">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1023" name="Constant_170690" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1024" name="__module.vision_model.encoder.layers.15.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1178">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1025" name="__module.vision_model.encoder.layers.15.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1026" name="__module.vision_model.encoder.layers.15.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1180,qkv.31">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1027" name="__module.vision_model.encoder.layers.15.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1028" name="__module.vision_model.encoder.layers.15.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1182,q.31">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1029" name="Constant_170101" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1030" name="__module.vision_model.encoder.layers.15.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1185">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1031" name="__module.vision_model.encoder.layers.15.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1183,k.31">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1032" name="__module.vision_model.encoder.layers.15.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1184,v.31">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1033" name="Constant_168880" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1034" name="Constant_168881" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1035" name="__module.vision_model.encoder.layers.15.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1190">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1036" name="__module.vision_model.encoder.layers.15.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1037" name="__module.vision_model.encoder.layers.15.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1191">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1038" name="Constant_170691" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1039" name="__module.vision_model.encoder.layers.15.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1193">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1040" name="Constant_169595" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="197802244" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1041" name="Convert_253863" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1042" name="Constant_169595/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="198850820" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1043" name="Constant_169595/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1044" name="Constant_169595/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1045" name="Multiply_169277" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1046" name="Constant_170102" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="198852868" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1047" name="__module.vision_model.encoder.layers.15/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1198">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1048" name="__module.vision_model.encoder.layers.15/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1199,hidden_states.63">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1049" name="__module.vision_model.encoder.layers.15.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1050" name="__module.vision_model.encoder.layers.15.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1051" name="Constant_170103" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="198856964" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1052" name="__module.vision_model.encoder.layers.15.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1053" name="Constant_170104" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="198861060" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1054" name="__module.vision_model.encoder.layers.15.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1203,1204">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1055" name="self.vision_model.encoder.layers.15.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="198865156" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1056" name="Convert_253457" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1057" name="self.vision_model.encoder.layers.15.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="203059460" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1058" name="self.vision_model.encoder.layers.15.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1059" name="self.vision_model.encoder.layers.15.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1060" name="__module.vision_model.encoder.layers.15.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1061" name="Constant_170105" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="203067652" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1062" name="__module.vision_model.encoder.layers.15.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1210">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1063" name="__module.vision_model.encoder.layers.15.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1211">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1064" name="Constant_169603" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="203084036" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1065" name="Convert_253464" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1066" name="Constant_169603/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="207278340" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1067" name="Constant_169603/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1068" name="Constant_169603/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1069" name="Multiply_169281" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1070" name="Constant_170106" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="207280388" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1071" name="__module.vision_model.encoder.layers.15/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1215">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1072" name="__module.vision_model.encoder.layers.15/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1216,hidden_states.65">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1073" name="__module.vision_model.encoder.layers.16.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1074" name="__module.vision_model.encoder.layers.16.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1075" name="Constant_170107" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="207284484" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1076" name="__module.vision_model.encoder.layers.16.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1077" name="Constant_170108" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="207288580" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1078" name="__module.vision_model.encoder.layers.16.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1228,1229,x.33">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1079" name="self.vision_model.encoder.layers.16.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="207292676" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1080" name="Convert_253702" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1081" name="self.vision_model.encoder.layers.16.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="210438404" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1082" name="self.vision_model.encoder.layers.16.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1083" name="self.vision_model.encoder.layers.16.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1084" name="__module.vision_model.encoder.layers.16.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1085" name="Constant_170109" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="210444548" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1086" name="__module.vision_model.encoder.layers.16.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1238">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1087" name="Constant_170692" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1088" name="__module.vision_model.encoder.layers.16.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1242">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1089" name="__module.vision_model.encoder.layers.16.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1090" name="__module.vision_model.encoder.layers.16.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1244,qkv.33">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1091" name="__module.vision_model.encoder.layers.16.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1092" name="__module.vision_model.encoder.layers.16.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1246,q.33">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1093" name="Constant_170110" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1094" name="__module.vision_model.encoder.layers.16.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1249">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1095" name="__module.vision_model.encoder.layers.16.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1247,k.33">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1096" name="__module.vision_model.encoder.layers.16.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1248,v.33">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1097" name="Constant_168911" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1098" name="Constant_168912" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1099" name="__module.vision_model.encoder.layers.16.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1254">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1100" name="__module.vision_model.encoder.layers.16.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1101" name="__module.vision_model.encoder.layers.16.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1255">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1102" name="Constant_170693" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1103" name="__module.vision_model.encoder.layers.16.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1257">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1104" name="Constant_169611" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="210456836" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1105" name="Convert_253870" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1106" name="Constant_169611/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="211505412" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1107" name="Constant_169611/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1108" name="Constant_169611/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1109" name="Multiply_169285" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1110" name="Constant_170111" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="211507460" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1111" name="__module.vision_model.encoder.layers.16/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1262">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1112" name="__module.vision_model.encoder.layers.16/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1263,hidden_states.67">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1113" name="__module.vision_model.encoder.layers.16.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1114" name="__module.vision_model.encoder.layers.16.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1115" name="Constant_170112" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="211511556" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1116" name="__module.vision_model.encoder.layers.16.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1117" name="Constant_170113" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="211515652" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1118" name="__module.vision_model.encoder.layers.16.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1267,1268">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1119" name="self.vision_model.encoder.layers.16.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="211519748" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1120" name="Convert_253471" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1121" name="self.vision_model.encoder.layers.16.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="215714052" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1122" name="self.vision_model.encoder.layers.16.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1123" name="self.vision_model.encoder.layers.16.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1124" name="__module.vision_model.encoder.layers.16.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1125" name="Constant_170114" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="215722244" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1126" name="__module.vision_model.encoder.layers.16.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1274">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1127" name="__module.vision_model.encoder.layers.16.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1275">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1128" name="Constant_169619" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="215738628" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1129" name="Convert_253478" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1130" name="Constant_169619/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="219932932" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1131" name="Constant_169619/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1132" name="Constant_169619/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1133" name="Multiply_169289" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1134" name="Constant_170115" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="219934980" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1135" name="__module.vision_model.encoder.layers.16/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1279">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1136" name="__module.vision_model.encoder.layers.16/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1280,hidden_states.69">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1137" name="__module.vision_model.encoder.layers.17.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1138" name="__module.vision_model.encoder.layers.17.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1139" name="Constant_170116" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="219939076" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1140" name="__module.vision_model.encoder.layers.17.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1141" name="Constant_170117" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="219943172" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1142" name="__module.vision_model.encoder.layers.17.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1292,1293,x.35">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1143" name="self.vision_model.encoder.layers.17.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="219947268" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1144" name="Convert_253709" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1145" name="self.vision_model.encoder.layers.17.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="223092996" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1146" name="self.vision_model.encoder.layers.17.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1147" name="self.vision_model.encoder.layers.17.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1148" name="__module.vision_model.encoder.layers.17.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1149" name="Constant_170118" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="223099140" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1150" name="__module.vision_model.encoder.layers.17.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1302">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1151" name="Constant_170694" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1152" name="__module.vision_model.encoder.layers.17.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1306">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1153" name="__module.vision_model.encoder.layers.17.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1154" name="__module.vision_model.encoder.layers.17.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1308,qkv.35">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1155" name="__module.vision_model.encoder.layers.17.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1156" name="__module.vision_model.encoder.layers.17.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1310,q.35">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1157" name="Constant_170119" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1158" name="__module.vision_model.encoder.layers.17.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1313">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1159" name="__module.vision_model.encoder.layers.17.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1311,k.35">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1160" name="__module.vision_model.encoder.layers.17.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1312,v.35">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1161" name="Constant_168942" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1162" name="Constant_168943" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1163" name="__module.vision_model.encoder.layers.17.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1318">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1164" name="__module.vision_model.encoder.layers.17.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1165" name="__module.vision_model.encoder.layers.17.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1319">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1166" name="Constant_170695" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1167" name="__module.vision_model.encoder.layers.17.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1321">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1168" name="Constant_169627" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="223111428" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1169" name="Convert_253877" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1170" name="Constant_169627/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="224160004" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1171" name="Constant_169627/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1172" name="Constant_169627/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1173" name="Multiply_169293" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1174" name="Constant_170120" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="224162052" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1175" name="__module.vision_model.encoder.layers.17/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1326">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1176" name="__module.vision_model.encoder.layers.17/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1327,hidden_states.71">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1177" name="__module.vision_model.encoder.layers.17.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1178" name="__module.vision_model.encoder.layers.17.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1179" name="Constant_170121" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="224166148" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1180" name="__module.vision_model.encoder.layers.17.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1181" name="Constant_170122" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="224170244" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1182" name="__module.vision_model.encoder.layers.17.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1331,1332">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1183" name="self.vision_model.encoder.layers.17.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="224174340" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1184" name="Convert_253485" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1185" name="self.vision_model.encoder.layers.17.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="228368644" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1186" name="self.vision_model.encoder.layers.17.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1187" name="self.vision_model.encoder.layers.17.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1188" name="__module.vision_model.encoder.layers.17.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1189" name="Constant_170123" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="228376836" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1190" name="__module.vision_model.encoder.layers.17.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1338">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1191" name="__module.vision_model.encoder.layers.17.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1339">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1192" name="Constant_169635" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="228393220" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1193" name="Convert_253492" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1194" name="Constant_169635/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="232587524" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1195" name="Constant_169635/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1196" name="Constant_169635/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1197" name="Multiply_169297" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1198" name="Constant_170124" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="232589572" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1199" name="__module.vision_model.encoder.layers.17/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1343">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1200" name="__module.vision_model.encoder.layers.17/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1344,hidden_states.73">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1201" name="__module.vision_model.encoder.layers.18.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1202" name="__module.vision_model.encoder.layers.18.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1203" name="Constant_170125" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="232593668" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1204" name="__module.vision_model.encoder.layers.18.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1205" name="Constant_170126" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="232597764" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1206" name="__module.vision_model.encoder.layers.18.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1356,1357,x.37">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1207" name="self.vision_model.encoder.layers.18.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="232601860" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1208" name="Convert_253716" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1209" name="self.vision_model.encoder.layers.18.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="235747588" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1210" name="self.vision_model.encoder.layers.18.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1211" name="self.vision_model.encoder.layers.18.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1212" name="__module.vision_model.encoder.layers.18.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1213" name="Constant_170127" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="235753732" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1214" name="__module.vision_model.encoder.layers.18.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1366">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1215" name="Constant_170696" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1216" name="__module.vision_model.encoder.layers.18.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1370">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1217" name="__module.vision_model.encoder.layers.18.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1218" name="__module.vision_model.encoder.layers.18.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1372,qkv.37">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1219" name="__module.vision_model.encoder.layers.18.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1220" name="__module.vision_model.encoder.layers.18.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1374,q.37">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1221" name="Constant_170128" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1222" name="__module.vision_model.encoder.layers.18.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1377">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1223" name="__module.vision_model.encoder.layers.18.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1375,k.37">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1224" name="__module.vision_model.encoder.layers.18.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1376,v.37">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1225" name="Constant_168973" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1226" name="Constant_168974" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1227" name="__module.vision_model.encoder.layers.18.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1382">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1228" name="__module.vision_model.encoder.layers.18.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1229" name="__module.vision_model.encoder.layers.18.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1383">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1230" name="Constant_170697" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1231" name="__module.vision_model.encoder.layers.18.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1385">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1232" name="Constant_169643" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="235766020" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1233" name="Convert_253884" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1234" name="Constant_169643/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="236814596" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1235" name="Constant_169643/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1236" name="Constant_169643/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1237" name="Multiply_169301" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1238" name="Constant_170129" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="236816644" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1239" name="__module.vision_model.encoder.layers.18/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1390">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1240" name="__module.vision_model.encoder.layers.18/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1391,hidden_states.75">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1241" name="__module.vision_model.encoder.layers.18.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1242" name="__module.vision_model.encoder.layers.18.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1243" name="Constant_170130" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="236820740" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1244" name="__module.vision_model.encoder.layers.18.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1245" name="Constant_170131" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="236824836" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1246" name="__module.vision_model.encoder.layers.18.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1395,1396">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1247" name="self.vision_model.encoder.layers.18.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="236828932" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1248" name="Convert_253499" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1249" name="self.vision_model.encoder.layers.18.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="241023236" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1250" name="self.vision_model.encoder.layers.18.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1251" name="self.vision_model.encoder.layers.18.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1252" name="__module.vision_model.encoder.layers.18.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1253" name="Constant_170132" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="241031428" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1254" name="__module.vision_model.encoder.layers.18.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1402">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1255" name="__module.vision_model.encoder.layers.18.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1403">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1256" name="Constant_169651" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="241047812" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1257" name="Convert_253506" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1258" name="Constant_169651/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="245242116" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1259" name="Constant_169651/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1260" name="Constant_169651/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1261" name="Multiply_169305" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1262" name="Constant_170133" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="245244164" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1263" name="__module.vision_model.encoder.layers.18/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1407">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1264" name="__module.vision_model.encoder.layers.18/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1408,hidden_states.77">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1265" name="__module.vision_model.encoder.layers.19.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1266" name="__module.vision_model.encoder.layers.19.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1267" name="Constant_170134" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="245248260" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1268" name="__module.vision_model.encoder.layers.19.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1269" name="Constant_170135" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="245252356" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1270" name="__module.vision_model.encoder.layers.19.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1420,1421,x.39">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1271" name="self.vision_model.encoder.layers.19.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="245256452" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1272" name="Convert_253723" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1273" name="self.vision_model.encoder.layers.19.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="248402180" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1274" name="self.vision_model.encoder.layers.19.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1275" name="self.vision_model.encoder.layers.19.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1276" name="__module.vision_model.encoder.layers.19.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1277" name="Constant_170136" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="248408324" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1278" name="__module.vision_model.encoder.layers.19.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1430">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1279" name="Constant_170698" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1280" name="__module.vision_model.encoder.layers.19.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1434">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1281" name="__module.vision_model.encoder.layers.19.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1282" name="__module.vision_model.encoder.layers.19.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1436,qkv.39">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1283" name="__module.vision_model.encoder.layers.19.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1284" name="__module.vision_model.encoder.layers.19.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1438,q.39">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1285" name="Constant_170137" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1286" name="__module.vision_model.encoder.layers.19.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1441">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1287" name="__module.vision_model.encoder.layers.19.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1439,k.39">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1288" name="__module.vision_model.encoder.layers.19.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1440,v.39">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1289" name="Constant_169004" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1290" name="Constant_169005" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1291" name="__module.vision_model.encoder.layers.19.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1446">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1292" name="__module.vision_model.encoder.layers.19.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1293" name="__module.vision_model.encoder.layers.19.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1447">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1294" name="Constant_170699" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1295" name="__module.vision_model.encoder.layers.19.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1449">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1296" name="Constant_169659" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="248420612" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1297" name="Convert_253891" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1298" name="Constant_169659/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="249469188" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1299" name="Constant_169659/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1300" name="Constant_169659/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1301" name="Multiply_169309" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1302" name="Constant_170138" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="249471236" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1303" name="__module.vision_model.encoder.layers.19/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1454">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1304" name="__module.vision_model.encoder.layers.19/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1455,hidden_states.79">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1305" name="__module.vision_model.encoder.layers.19.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1306" name="__module.vision_model.encoder.layers.19.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1307" name="Constant_170139" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="249475332" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1308" name="__module.vision_model.encoder.layers.19.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1309" name="Constant_170140" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="249479428" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1310" name="__module.vision_model.encoder.layers.19.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1459,1460">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1311" name="self.vision_model.encoder.layers.19.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="249483524" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1312" name="Convert_253513" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1313" name="self.vision_model.encoder.layers.19.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="253677828" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1314" name="self.vision_model.encoder.layers.19.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1315" name="self.vision_model.encoder.layers.19.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1316" name="__module.vision_model.encoder.layers.19.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1317" name="Constant_170141" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="253686020" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1318" name="__module.vision_model.encoder.layers.19.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1466">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1319" name="__module.vision_model.encoder.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1467">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1320" name="Constant_169667" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="253702404" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1321" name="Convert_253520" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1322" name="Constant_169667/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="257896708" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1323" name="Constant_169667/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1324" name="Constant_169667/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1325" name="Multiply_169313" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1326" name="Constant_170142" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="257898756" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1327" name="__module.vision_model.encoder.layers.19/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1471">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1328" name="__module.vision_model.encoder.layers.19/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1472,hidden_states.81">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1329" name="__module.vision_model.encoder.layers.20.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1330" name="__module.vision_model.encoder.layers.20.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1331" name="Constant_170143" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="257902852" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1332" name="__module.vision_model.encoder.layers.20.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1333" name="Constant_170144" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="257906948" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1334" name="__module.vision_model.encoder.layers.20.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1484,1485,x.41">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1335" name="self.vision_model.encoder.layers.20.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="257911044" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1336" name="Convert_253730" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1337" name="self.vision_model.encoder.layers.20.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="261056772" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1338" name="self.vision_model.encoder.layers.20.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1339" name="self.vision_model.encoder.layers.20.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1340" name="__module.vision_model.encoder.layers.20.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1341" name="Constant_170145" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="261062916" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1342" name="__module.vision_model.encoder.layers.20.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1494">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1343" name="Constant_170700" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1344" name="__module.vision_model.encoder.layers.20.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1498">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1345" name="__module.vision_model.encoder.layers.20.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1346" name="__module.vision_model.encoder.layers.20.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1500,qkv.41">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1347" name="__module.vision_model.encoder.layers.20.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1348" name="__module.vision_model.encoder.layers.20.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1502,q.41">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1349" name="Constant_170146" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1350" name="__module.vision_model.encoder.layers.20.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1505">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1351" name="__module.vision_model.encoder.layers.20.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1503,k.41">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1352" name="__module.vision_model.encoder.layers.20.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1504,v.41">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1353" name="Constant_169035" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1354" name="Constant_169036" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1355" name="__module.vision_model.encoder.layers.20.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1510">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1356" name="__module.vision_model.encoder.layers.20.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1357" name="__module.vision_model.encoder.layers.20.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1511">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1358" name="Constant_170701" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1359" name="__module.vision_model.encoder.layers.20.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1513">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1360" name="Constant_169675" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="261075204" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1361" name="Convert_253898" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1362" name="Constant_169675/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="262123780" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1363" name="Constant_169675/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1364" name="Constant_169675/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1365" name="Multiply_169317" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1366" name="Constant_170147" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="262125828" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1367" name="__module.vision_model.encoder.layers.20/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1518">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1368" name="__module.vision_model.encoder.layers.20/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1519,hidden_states.83">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1369" name="__module.vision_model.encoder.layers.20.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1370" name="__module.vision_model.encoder.layers.20.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1371" name="Constant_170148" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="262129924" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1372" name="__module.vision_model.encoder.layers.20.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1373" name="Constant_170149" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="262134020" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1374" name="__module.vision_model.encoder.layers.20.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1523,1524">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1375" name="self.vision_model.encoder.layers.20.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="262138116" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1376" name="Convert_253527" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1377" name="self.vision_model.encoder.layers.20.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="266332420" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1378" name="self.vision_model.encoder.layers.20.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1379" name="self.vision_model.encoder.layers.20.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1380" name="__module.vision_model.encoder.layers.20.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1381" name="Constant_170150" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="266340612" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1382" name="__module.vision_model.encoder.layers.20.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1530">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1383" name="__module.vision_model.encoder.layers.20.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1531">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1384" name="Constant_169683" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="266356996" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1385" name="Convert_253534" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1386" name="Constant_169683/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="270551300" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1387" name="Constant_169683/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1388" name="Constant_169683/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1389" name="Multiply_169321" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1390" name="Constant_170151" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="270553348" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1391" name="__module.vision_model.encoder.layers.20/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1535">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1392" name="__module.vision_model.encoder.layers.20/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1536,hidden_states.85">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1393" name="__module.vision_model.encoder.layers.21.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1394" name="__module.vision_model.encoder.layers.21.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1395" name="Constant_170152" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="270557444" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1396" name="__module.vision_model.encoder.layers.21.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1397" name="Constant_170153" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="270561540" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1398" name="__module.vision_model.encoder.layers.21.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1548,1549,x.43">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1399" name="self.vision_model.encoder.layers.21.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="270565636" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1400" name="Convert_253737" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1401" name="self.vision_model.encoder.layers.21.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="273711364" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1402" name="self.vision_model.encoder.layers.21.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1403" name="self.vision_model.encoder.layers.21.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1404" name="__module.vision_model.encoder.layers.21.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1405" name="Constant_170154" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="273717508" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1406" name="__module.vision_model.encoder.layers.21.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1558">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1407" name="Constant_170702" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1408" name="__module.vision_model.encoder.layers.21.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1562">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1409" name="__module.vision_model.encoder.layers.21.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1410" name="__module.vision_model.encoder.layers.21.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1564,qkv.43">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1411" name="__module.vision_model.encoder.layers.21.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1412" name="__module.vision_model.encoder.layers.21.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1566,q.43">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1413" name="Constant_170155" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1414" name="__module.vision_model.encoder.layers.21.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1569">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1415" name="__module.vision_model.encoder.layers.21.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1567,k.43">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1416" name="__module.vision_model.encoder.layers.21.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1568,v.43">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1417" name="Constant_169066" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1418" name="Constant_169067" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1419" name="__module.vision_model.encoder.layers.21.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1574">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1420" name="__module.vision_model.encoder.layers.21.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1421" name="__module.vision_model.encoder.layers.21.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1575">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1422" name="Constant_170703" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1423" name="__module.vision_model.encoder.layers.21.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1577">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1424" name="Constant_169691" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="273729796" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1425" name="Convert_253905" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1426" name="Constant_169691/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="274778372" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1427" name="Constant_169691/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1428" name="Constant_169691/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1429" name="Multiply_169325" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1430" name="Constant_170156" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="274780420" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1431" name="__module.vision_model.encoder.layers.21/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1582">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1432" name="__module.vision_model.encoder.layers.21/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1583,hidden_states.87">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1433" name="__module.vision_model.encoder.layers.21.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1434" name="__module.vision_model.encoder.layers.21.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1435" name="Constant_170157" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="274784516" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1436" name="__module.vision_model.encoder.layers.21.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1437" name="Constant_170158" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="274788612" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1438" name="__module.vision_model.encoder.layers.21.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1587,1588">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1439" name="self.vision_model.encoder.layers.21.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="274792708" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1440" name="Convert_253541" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1441" name="self.vision_model.encoder.layers.21.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="278987012" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1442" name="self.vision_model.encoder.layers.21.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1443" name="self.vision_model.encoder.layers.21.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1444" name="__module.vision_model.encoder.layers.21.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1445" name="Constant_170159" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="278995204" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1446" name="__module.vision_model.encoder.layers.21.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1594">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1447" name="__module.vision_model.encoder.layers.21.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1595">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1448" name="Constant_169699" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="279011588" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1449" name="Convert_253548" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1450" name="Constant_169699/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="283205892" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1451" name="Constant_169699/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1452" name="Constant_169699/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1453" name="Multiply_169329" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1454" name="Constant_170160" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="283207940" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1455" name="__module.vision_model.encoder.layers.21/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1599">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1456" name="__module.vision_model.encoder.layers.21/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1600,hidden_states.89">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1457" name="__module.vision_model.encoder.layers.22.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1458" name="__module.vision_model.encoder.layers.22.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1459" name="Constant_170161" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="283212036" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1460" name="__module.vision_model.encoder.layers.22.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1461" name="Constant_170162" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="283216132" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1462" name="__module.vision_model.encoder.layers.22.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1612,1613,x.45">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1463" name="self.vision_model.encoder.layers.22.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="283220228" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1464" name="Convert_253744" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1465" name="self.vision_model.encoder.layers.22.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="286365956" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1466" name="self.vision_model.encoder.layers.22.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1467" name="self.vision_model.encoder.layers.22.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1468" name="__module.vision_model.encoder.layers.22.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1469" name="Constant_170163" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="286372100" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1470" name="__module.vision_model.encoder.layers.22.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1622">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1471" name="Constant_170704" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1472" name="__module.vision_model.encoder.layers.22.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1626">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1473" name="__module.vision_model.encoder.layers.22.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1474" name="__module.vision_model.encoder.layers.22.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1628,qkv.45">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1475" name="__module.vision_model.encoder.layers.22.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1476" name="__module.vision_model.encoder.layers.22.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1630,q.45">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1477" name="Constant_170164" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1478" name="__module.vision_model.encoder.layers.22.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1633">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1479" name="__module.vision_model.encoder.layers.22.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1631,k.45">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1480" name="__module.vision_model.encoder.layers.22.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1632,v.45">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1481" name="Constant_169097" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1482" name="Constant_169098" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1483" name="__module.vision_model.encoder.layers.22.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1638">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1484" name="__module.vision_model.encoder.layers.22.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1485" name="__module.vision_model.encoder.layers.22.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1639">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1486" name="Constant_170705" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1487" name="__module.vision_model.encoder.layers.22.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1641">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1488" name="Constant_169707" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="286384388" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1489" name="Convert_253912" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1490" name="Constant_169707/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="287432964" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1491" name="Constant_169707/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1492" name="Constant_169707/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1493" name="Multiply_169333" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1494" name="Constant_170165" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="287435012" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1495" name="__module.vision_model.encoder.layers.22/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1646">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1496" name="__module.vision_model.encoder.layers.22/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1647,hidden_states.91">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1497" name="__module.vision_model.encoder.layers.22.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1498" name="__module.vision_model.encoder.layers.22.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1499" name="Constant_170166" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="287439108" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1500" name="__module.vision_model.encoder.layers.22.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1501" name="Constant_170167" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="287443204" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1502" name="__module.vision_model.encoder.layers.22.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1651,1652">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1503" name="self.vision_model.encoder.layers.22.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="287447300" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1504" name="Convert_253555" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1505" name="self.vision_model.encoder.layers.22.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="291641604" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1506" name="self.vision_model.encoder.layers.22.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1507" name="self.vision_model.encoder.layers.22.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1508" name="__module.vision_model.encoder.layers.22.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1509" name="Constant_170168" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="291649796" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1510" name="__module.vision_model.encoder.layers.22.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1658">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1511" name="__module.vision_model.encoder.layers.22.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1659">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1512" name="Constant_169715" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="291666180" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1513" name="Convert_253562" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1514" name="Constant_169715/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="295860484" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1515" name="Constant_169715/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1516" name="Constant_169715/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1517" name="Multiply_169337" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1518" name="Constant_170169" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="295862532" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1519" name="__module.vision_model.encoder.layers.22/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1663">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1520" name="__module.vision_model.encoder.layers.22/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1664,hidden_states.93">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1521" name="__module.vision_model.encoder.layers.23.norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1522" name="__module.vision_model.encoder.layers.23.norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1523" name="Constant_170170" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="295866628" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1524" name="__module.vision_model.encoder.layers.23.norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1525" name="Constant_170171" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="295870724" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1526" name="__module.vision_model.encoder.layers.23.norm1/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1676,1677,x.47">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1527" name="self.vision_model.encoder.layers.23.attn.qkv.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="3072, 1024" offset="295874820" size="3145728" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1528" name="Convert_253751" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1529" name="self.vision_model.encoder.layers.23.attn.qkv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="3072, 1" offset="299020548" size="6144" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1530" name="self.vision_model.encoder.layers.23.attn.qkv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>3072</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1531" name="self.vision_model.encoder.layers.23.attn.qkv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1532" name="__module.vision_model.encoder.layers.23.attn.qkv/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3072</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1533" name="Constant_170172" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 3072" offset="299026692" size="12288" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1534" name="__module.vision_model.encoder.layers.23.attn.qkv/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3072</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1686">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1535" name="Constant_170706" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983232" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1536" name="__module.vision_model.encoder.layers.23.attn/aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3072</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1690">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1537" name="__module.vision_model.encoder.layers.23.attn/aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="5" offset="7983272" size="40" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1538" name="__module.vision_model.encoder.layers.23.attn/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1692,qkv.47">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1539" name="__module.vision_model.encoder.layers.23.attn/prim::ListUnpack/Split" type="Split" version="opset1">
+			<data num_splits="3" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="4" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1540" name="__module.vision_model.encoder.layers.23.attn/prim::ListUnpack/Squeeze" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1694,q">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1541" name="Constant_170173" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="7983312" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1542" name="__module.vision_model.encoder.layers.23.attn/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1697">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1543" name="__module.vision_model.encoder.layers.23.attn/prim::ListUnpack/Squeeze_0" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1695,k">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1544" name="__module.vision_model.encoder.layers.23.attn/prim::ListUnpack/Squeeze_1" type="Squeeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1696,v">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1545" name="Constant_169128" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983316" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1546" name="Constant_169129" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="7983320" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="1547" name="__module.vision_model.encoder.layers.23.attn/aten::matmul/MatMul_1" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="3" precision="FP32" />
+				<port id="4" precision="FP32" />
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1702">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1548" name="__module.vision_model.encoder.layers.23.attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="7983324" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1549" name="__module.vision_model.encoder.layers.23.attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1703">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1550" name="Constant_170707" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="7983340" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1551" name="__module.vision_model.encoder.layers.23.attn/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1705">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1552" name="Constant_169723" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 1024" offset="299038980" size="1048576" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1553" name="Convert_253919" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1554" name="Constant_169723/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="300087556" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1555" name="Constant_169723/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1556" name="Constant_169723/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1557" name="Multiply_169341" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1558" name="Constant_170174" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="300089604" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1559" name="__module.vision_model.encoder.layers.23/aten::mul/Multiply" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1710">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1560" name="__module.vision_model.encoder.layers.23/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1711,hidden_states">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1561" name="__module.vision_model.encoder.layers.23.norm2/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1562" name="__module.vision_model.encoder.layers.23.norm2/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1563" name="Constant_170175" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="300093700" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1564" name="__module.vision_model.encoder.layers.23.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1565" name="Constant_170176" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="300097796" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1566" name="__module.vision_model.encoder.layers.23.norm2/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1715,1716">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1567" name="self.vision_model.encoder.layers.23.mlp.fc1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="4096, 1024" offset="300101892" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1568" name="Convert_253569" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1569" name="self.vision_model.encoder.layers.23.mlp.fc1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4096, 1" offset="304296196" size="8192" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1570" name="self.vision_model.encoder.layers.23.mlp.fc1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4096</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1571" name="self.vision_model.encoder.layers.23.mlp.fc1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1572" name="__module.vision_model.encoder.layers.23.mlp.fc1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4096</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1573" name="Constant_170177" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="304304388" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1574" name="__module.vision_model.encoder.layers.23.mlp.fc1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1722">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1575" name="__module.vision_model.encoder.layers.23.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1723">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1576" name="Constant_169731" type="Const" version="opset1">
+			<data element_type="i8" shape="1024, 4096" offset="304320772" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1577" name="Convert_253576" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1578" name="Constant_169731/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="308515076" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1579" name="Constant_169731/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1580" name="Constant_169731/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1581" name="Multiply_169345" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1582" name="Constant_170178" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1024" offset="308517124" size="4096" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1583" name="__module.vision_model.encoder.layers.23/aten::mul/Multiply_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1727">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1584" name="__module.vision_model.encoder.layers.23/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1728,9,last_hidden_state">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1585" name="Constant_154921" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="612360" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1586" name="Constant_154923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="308521220" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1587" name="Constant_154925" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="612360" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1588" name="aten::slice/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="612360" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1589" name="aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</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>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="14,19,vit_embeds.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1590" name="prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="308521228" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1591" name="aten::reshape/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="28,x.49">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1592" name="prim::ListConstruct_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="308521260" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1593" name="aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="41,x.51">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>16</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1594" name="aten::permute/Mod" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="308521292" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1595" name="aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>16</dim>
+					<dim>2048</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="47">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1596" name="Constant_170708" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="308521324" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1597" name="aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>2048</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="54,x">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1598" name="aten::permute/Mod_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="308521292" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1599" name="aten::permute/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="60">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1600" name="Constant_170709" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="308521356" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1601" name="aten::reshape/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="73">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1602" name="__module.mlp1.0/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4810876" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1603" name="__module.mlp1.0/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1604" name="Constant_170179" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="308521380" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1605" name="__module.mlp1.0/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1606" name="Constant_170180" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 4096" offset="308537764" size="16384" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1607" name="__module.mlp1.0/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1740">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1608" name="self.mlp1.1.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="2048, 4096" offset="308554148" size="8388608" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1609" name="Convert_253240" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1610" name="self.mlp1.1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2048, 1" offset="316942756" size="4096" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2048</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1611" name="self.mlp1.1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2048</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1612" name="self.mlp1.1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1613" name="__module.mlp1.1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2048</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1614" name="Constant_170181" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2048" offset="316946852" size="8192" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1615" name="__module.mlp1.1/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2048</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1743">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1616" name="__module.mlp1.2/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1744">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1617" name="self.mlp1.3.weight" type="Const" version="opset1">
+			<data element_type="i8" shape="2048, 2048" offset="316955044" size="4194304" />
+			<output>
+				<port id="0" precision="I8">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1618" name="Convert_253583" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="I8">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1619" name="self.mlp1.3.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2048, 1" offset="321149348" size="4096" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>2048</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1620" name="self.mlp1.3.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2048</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1621" name="self.mlp1.3.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1622" name="__module.mlp1.3/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>2048</dim>
+					<dim>2048</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1623" name="Constant_170182" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2048" offset="321153444" size="8192" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1624" name="__module.mlp1.3/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>2048</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="last_hidden_state">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1625" name="Result_155262" type="Result" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+					<dim>2048</dim>
+				</port>
+			</input>
+		</layer>
+	</layers>
+	<edges>
+		<edge from-layer="0" from-port="0" to-layer="7" to-port="0" />
+		<edge from-layer="1" from-port="0" to-layer="17" to-port="0" />
+		<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
+		<edge from-layer="3" from-port="1" to-layer="5" to-port="0" />
+		<edge from-layer="4" from-port="0" to-layer="5" to-port="1" />
+		<edge from-layer="5" from-port="2" to-layer="6" to-port="0" />
+		<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
+		<edge from-layer="7" from-port="2" to-layer="9" to-port="0" />
+		<edge from-layer="8" from-port="0" to-layer="9" to-port="1" />
+		<edge from-layer="9" from-port="2" to-layer="19" to-port="0" />
+		<edge from-layer="9" from-port="2" to-layer="25" to-port="0" />
+		<edge from-layer="9" from-port="2" to-layer="10" to-port="0" />
+		<edge from-layer="10" from-port="1" to-layer="13" to-port="0" />
+		<edge from-layer="10" from-port="1" to-layer="40" to-port="0" />
+		<edge from-layer="10" from-port="1" to-layer="37" to-port="0" />
+		<edge from-layer="11" from-port="0" to-layer="13" to-port="1" />
+		<edge from-layer="12" from-port="0" to-layer="13" to-port="2" />
+		<edge from-layer="13" from-port="3" to-layer="16" to-port="0" />
+		<edge from-layer="14" from-port="0" to-layer="16" to-port="1" />
+		<edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
+		<edge from-layer="16" from-port="3" to-layer="17" to-port="1" />
+		<edge from-layer="17" from-port="2" to-layer="22" to-port="0" />
+		<edge from-layer="18" from-port="0" to-layer="19" to-port="1" />
+		<edge from-layer="19" from-port="2" to-layer="21" to-port="0" />
+		<edge from-layer="20" from-port="0" to-layer="21" to-port="1" />
+		<edge from-layer="21" from-port="2" to-layer="22" to-port="1" />
+		<edge from-layer="22" from-port="2" to-layer="47" to-port="0" />
+		<edge from-layer="23" from-port="0" to-layer="46" to-port="0" />
+		<edge from-layer="24" from-port="0" to-layer="32" to-port="0" />
+		<edge from-layer="25" from-port="1" to-layer="26" to-port="0" />
+		<edge from-layer="26" from-port="1" to-layer="29" to-port="0" />
+		<edge from-layer="27" from-port="0" to-layer="29" to-port="1" />
+		<edge from-layer="28" from-port="0" to-layer="29" to-port="2" />
+		<edge from-layer="29" from-port="3" to-layer="30" to-port="0" />
+		<edge from-layer="30" from-port="1" to-layer="32" to-port="1" />
+		<edge from-layer="31" from-port="0" to-layer="32" to-port="2" />
+		<edge from-layer="32" from-port="3" to-layer="43" to-port="0" />
+		<edge from-layer="33" from-port="0" to-layer="42" to-port="0" />
+		<edge from-layer="34" from-port="0" to-layer="42" to-port="1" />
+		<edge from-layer="35" from-port="0" to-layer="37" to-port="1" />
+		<edge from-layer="36" from-port="0" to-layer="37" to-port="2" />
+		<edge from-layer="37" from-port="3" to-layer="41" to-port="0" />
+		<edge from-layer="38" from-port="0" to-layer="40" to-port="1" />
+		<edge from-layer="39" from-port="0" to-layer="40" to-port="2" />
+		<edge from-layer="40" from-port="3" to-layer="41" to-port="1" />
+		<edge from-layer="41" from-port="2" to-layer="42" to-port="2" />
+		<edge from-layer="42" from-port="3" to-layer="43" to-port="1" />
+		<edge from-layer="43" from-port="2" to-layer="45" to-port="0" />
+		<edge from-layer="44" from-port="0" to-layer="45" to-port="1" />
+		<edge from-layer="45" from-port="2" to-layer="46" to-port="1" />
+		<edge from-layer="46" from-port="2" to-layer="47" to-port="1" />
+		<edge from-layer="47" from-port="2" to-layer="49" to-port="0" />
+		<edge from-layer="47" from-port="2" to-layer="88" to-port="0" />
+		<edge from-layer="48" from-port="0" to-layer="49" to-port="1" />
+		<edge from-layer="49" from-port="2" to-layer="51" to-port="0" />
+		<edge from-layer="50" from-port="0" to-layer="51" to-port="1" />
+		<edge from-layer="51" from-port="2" to-layer="53" to-port="0" />
+		<edge from-layer="52" from-port="0" to-layer="53" to-port="1" />
+		<edge from-layer="53" from-port="2" to-layer="59" to-port="0" />
+		<edge from-layer="54" from-port="0" to-layer="55" to-port="0" />
+		<edge from-layer="55" from-port="1" to-layer="57" to-port="0" />
+		<edge from-layer="56" from-port="0" to-layer="57" to-port="1" />
+		<edge from-layer="57" from-port="2" to-layer="58" to-port="0" />
+		<edge from-layer="58" from-port="1" to-layer="59" to-port="1" />
+		<edge from-layer="59" from-port="2" to-layer="61" to-port="0" />
+		<edge from-layer="60" from-port="0" to-layer="61" to-port="1" />
+		<edge from-layer="61" from-port="2" to-layer="63" to-port="0" />
+		<edge from-layer="62" from-port="0" to-layer="63" to-port="1" />
+		<edge from-layer="63" from-port="2" to-layer="65" to-port="0" />
+		<edge from-layer="64" from-port="0" to-layer="65" to-port="1" />
+		<edge from-layer="65" from-port="2" to-layer="67" to-port="0" />
+		<edge from-layer="66" from-port="0" to-layer="648" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="647" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="644" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="643" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="584" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="583" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="580" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="579" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1540" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="520" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="707" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="708" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="711" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="712" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="771" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="772" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="775" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="776" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="195" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1544" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1543" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="328" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="899" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="196" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="199" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="200" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="259" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="260" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="263" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="264" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="323" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="324" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="327" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="519" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="387" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="388" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="391" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="392" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="451" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="452" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="455" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="456" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="515" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="516" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1032" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1160" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1159" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="839" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1156" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="840" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1155" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1096" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1095" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1092" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1091" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1219" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1031" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1028" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1027" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="968" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="967" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="964" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="963" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="904" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="903" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="900" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1348" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1480" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1479" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1476" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1475" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1416" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1415" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1412" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1411" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1352" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1351" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1539" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1347" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1288" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1287" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1284" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1283" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1224" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1223" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="835" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="1220" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="836" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="136" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="71" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="72" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="68" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="67" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="131" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="132" to-port="1" />
+		<edge from-layer="66" from-port="0" to-layer="135" to-port="1" />
+		<edge from-layer="67" from-port="4" to-layer="72" to-port="0" />
+		<edge from-layer="67" from-port="3" to-layer="71" to-port="0" />
+		<edge from-layer="67" from-port="2" to-layer="68" to-port="0" />
+		<edge from-layer="68" from-port="2" to-layer="70" to-port="0" />
+		<edge from-layer="69" from-port="0" to-layer="70" to-port="1" />
+		<edge from-layer="70" from-port="2" to-layer="75" to-port="0" />
+		<edge from-layer="71" from-port="2" to-layer="75" to-port="1" />
+		<edge from-layer="72" from-port="2" to-layer="75" to-port="2" />
+		<edge from-layer="73" from-port="0" to-layer="75" to-port="3" />
+		<edge from-layer="74" from-port="0" to-layer="75" to-port="4" />
+		<edge from-layer="75" from-port="5" to-layer="77" to-port="0" />
+		<edge from-layer="76" from-port="0" to-layer="77" to-port="1" />
+		<edge from-layer="77" from-port="2" to-layer="79" to-port="0" />
+		<edge from-layer="78" from-port="0" to-layer="79" to-port="1" />
+		<edge from-layer="79" from-port="2" to-layer="85" to-port="0" />
+		<edge from-layer="80" from-port="0" to-layer="81" to-port="0" />
+		<edge from-layer="81" from-port="1" to-layer="83" to-port="0" />
+		<edge from-layer="82" from-port="0" to-layer="83" to-port="1" />
+		<edge from-layer="83" from-port="2" to-layer="84" to-port="0" />
+		<edge from-layer="84" from-port="1" to-layer="85" to-port="1" />
+		<edge from-layer="85" from-port="2" to-layer="87" to-port="0" />
+		<edge from-layer="86" from-port="0" to-layer="87" to-port="1" />
+		<edge from-layer="87" from-port="2" to-layer="88" to-port="1" />
+		<edge from-layer="88" from-port="2" to-layer="112" to-port="0" />
+		<edge from-layer="88" from-port="2" to-layer="90" to-port="0" />
+		<edge from-layer="89" from-port="0" to-layer="90" to-port="1" />
+		<edge from-layer="90" from-port="2" to-layer="92" to-port="0" />
+		<edge from-layer="91" from-port="0" to-layer="92" to-port="1" />
+		<edge from-layer="92" from-port="2" to-layer="94" to-port="0" />
+		<edge from-layer="93" from-port="0" to-layer="94" to-port="1" />
+		<edge from-layer="94" from-port="2" to-layer="100" to-port="0" />
+		<edge from-layer="95" from-port="0" to-layer="96" to-port="0" />
+		<edge from-layer="96" from-port="1" to-layer="98" to-port="0" />
+		<edge from-layer="97" from-port="0" to-layer="98" to-port="1" />
+		<edge from-layer="98" from-port="2" to-layer="99" to-port="0" />
+		<edge from-layer="99" from-port="1" to-layer="100" to-port="1" />
+		<edge from-layer="100" from-port="2" to-layer="102" to-port="0" />
+		<edge from-layer="101" from-port="0" to-layer="102" to-port="1" />
+		<edge from-layer="102" from-port="2" to-layer="103" to-port="0" />
+		<edge from-layer="103" from-port="1" to-layer="109" to-port="0" />
+		<edge from-layer="104" from-port="0" to-layer="105" to-port="0" />
+		<edge from-layer="105" from-port="1" to-layer="107" to-port="0" />
+		<edge from-layer="106" from-port="0" to-layer="107" to-port="1" />
+		<edge from-layer="107" from-port="2" to-layer="108" to-port="0" />
+		<edge from-layer="108" from-port="1" to-layer="109" to-port="1" />
+		<edge from-layer="109" from-port="2" to-layer="111" to-port="0" />
+		<edge from-layer="110" from-port="0" to-layer="111" to-port="1" />
+		<edge from-layer="111" from-port="2" to-layer="112" to-port="1" />
+		<edge from-layer="112" from-port="2" to-layer="114" to-port="0" />
+		<edge from-layer="112" from-port="2" to-layer="152" to-port="0" />
+		<edge from-layer="113" from-port="0" to-layer="114" to-port="1" />
+		<edge from-layer="114" from-port="2" to-layer="116" to-port="0" />
+		<edge from-layer="115" from-port="0" to-layer="116" to-port="1" />
+		<edge from-layer="116" from-port="2" to-layer="118" to-port="0" />
+		<edge from-layer="117" from-port="0" to-layer="118" to-port="1" />
+		<edge from-layer="118" from-port="2" to-layer="124" to-port="0" />
+		<edge from-layer="119" from-port="0" to-layer="120" to-port="0" />
+		<edge from-layer="120" from-port="1" to-layer="122" to-port="0" />
+		<edge from-layer="121" from-port="0" to-layer="122" to-port="1" />
+		<edge from-layer="122" from-port="2" to-layer="123" to-port="0" />
+		<edge from-layer="123" from-port="1" to-layer="124" to-port="1" />
+		<edge from-layer="124" from-port="2" to-layer="126" to-port="0" />
+		<edge from-layer="125" from-port="0" to-layer="126" to-port="1" />
+		<edge from-layer="126" from-port="2" to-layer="128" to-port="0" />
+		<edge from-layer="127" from-port="0" to-layer="128" to-port="1" />
+		<edge from-layer="128" from-port="2" to-layer="130" to-port="0" />
+		<edge from-layer="129" from-port="0" to-layer="130" to-port="1" />
+		<edge from-layer="130" from-port="2" to-layer="131" to-port="0" />
+		<edge from-layer="131" from-port="4" to-layer="136" to-port="0" />
+		<edge from-layer="131" from-port="2" to-layer="132" to-port="0" />
+		<edge from-layer="131" from-port="3" to-layer="135" to-port="0" />
+		<edge from-layer="132" from-port="2" to-layer="134" to-port="0" />
+		<edge from-layer="133" from-port="0" to-layer="134" to-port="1" />
+		<edge from-layer="134" from-port="2" to-layer="139" to-port="0" />
+		<edge from-layer="135" from-port="2" to-layer="139" to-port="1" />
+		<edge from-layer="136" from-port="2" to-layer="139" to-port="2" />
+		<edge from-layer="137" from-port="0" to-layer="139" to-port="3" />
+		<edge from-layer="138" from-port="0" to-layer="139" to-port="4" />
+		<edge from-layer="139" from-port="5" to-layer="141" to-port="0" />
+		<edge from-layer="140" from-port="0" to-layer="141" to-port="1" />
+		<edge from-layer="141" from-port="2" to-layer="143" to-port="0" />
+		<edge from-layer="142" from-port="0" to-layer="143" to-port="1" />
+		<edge from-layer="143" from-port="2" to-layer="149" to-port="0" />
+		<edge from-layer="144" from-port="0" to-layer="145" to-port="0" />
+		<edge from-layer="145" from-port="1" to-layer="147" to-port="0" />
+		<edge from-layer="146" from-port="0" to-layer="147" to-port="1" />
+		<edge from-layer="147" from-port="2" to-layer="148" to-port="0" />
+		<edge from-layer="148" from-port="1" to-layer="149" to-port="1" />
+		<edge from-layer="149" from-port="2" to-layer="151" to-port="0" />
+		<edge from-layer="150" from-port="0" to-layer="151" to-port="1" />
+		<edge from-layer="151" from-port="2" to-layer="152" to-port="1" />
+		<edge from-layer="152" from-port="2" to-layer="154" to-port="0" />
+		<edge from-layer="152" from-port="2" to-layer="176" to-port="0" />
+		<edge from-layer="153" from-port="0" to-layer="154" to-port="1" />
+		<edge from-layer="154" from-port="2" to-layer="156" to-port="0" />
+		<edge from-layer="155" from-port="0" to-layer="156" to-port="1" />
+		<edge from-layer="156" from-port="2" to-layer="158" to-port="0" />
+		<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
+		<edge from-layer="158" from-port="2" to-layer="164" to-port="0" />
+		<edge from-layer="159" from-port="0" to-layer="160" to-port="0" />
+		<edge from-layer="160" from-port="1" to-layer="162" to-port="0" />
+		<edge from-layer="161" from-port="0" to-layer="162" to-port="1" />
+		<edge from-layer="162" from-port="2" to-layer="163" to-port="0" />
+		<edge from-layer="163" from-port="1" to-layer="164" to-port="1" />
+		<edge from-layer="164" from-port="2" to-layer="166" to-port="0" />
+		<edge from-layer="165" from-port="0" to-layer="166" to-port="1" />
+		<edge from-layer="166" from-port="2" to-layer="167" to-port="0" />
+		<edge from-layer="167" from-port="1" to-layer="173" to-port="0" />
+		<edge from-layer="168" from-port="0" to-layer="169" to-port="0" />
+		<edge from-layer="169" from-port="1" to-layer="171" to-port="0" />
+		<edge from-layer="170" from-port="0" to-layer="171" to-port="1" />
+		<edge from-layer="171" from-port="2" to-layer="172" to-port="0" />
+		<edge from-layer="172" from-port="1" to-layer="173" to-port="1" />
+		<edge from-layer="173" from-port="2" to-layer="175" to-port="0" />
+		<edge from-layer="174" from-port="0" to-layer="175" to-port="1" />
+		<edge from-layer="175" from-port="2" to-layer="176" to-port="1" />
+		<edge from-layer="176" from-port="2" to-layer="216" to-port="0" />
+		<edge from-layer="176" from-port="2" to-layer="178" to-port="0" />
+		<edge from-layer="177" from-port="0" to-layer="178" to-port="1" />
+		<edge from-layer="178" from-port="2" to-layer="180" to-port="0" />
+		<edge from-layer="179" from-port="0" to-layer="180" to-port="1" />
+		<edge from-layer="180" from-port="2" to-layer="182" to-port="0" />
+		<edge from-layer="181" from-port="0" to-layer="182" to-port="1" />
+		<edge from-layer="182" from-port="2" to-layer="188" to-port="0" />
+		<edge from-layer="183" from-port="0" to-layer="184" to-port="0" />
+		<edge from-layer="184" from-port="1" to-layer="186" to-port="0" />
+		<edge from-layer="185" from-port="0" to-layer="186" to-port="1" />
+		<edge from-layer="186" from-port="2" to-layer="187" to-port="0" />
+		<edge from-layer="187" from-port="1" to-layer="188" to-port="1" />
+		<edge from-layer="188" from-port="2" to-layer="190" to-port="0" />
+		<edge from-layer="189" from-port="0" to-layer="190" to-port="1" />
+		<edge from-layer="190" from-port="2" to-layer="192" to-port="0" />
+		<edge from-layer="191" from-port="0" to-layer="192" to-port="1" />
+		<edge from-layer="192" from-port="2" to-layer="194" to-port="0" />
+		<edge from-layer="193" from-port="0" to-layer="194" to-port="1" />
+		<edge from-layer="194" from-port="2" to-layer="195" to-port="0" />
+		<edge from-layer="195" from-port="2" to-layer="196" to-port="0" />
+		<edge from-layer="195" from-port="4" to-layer="200" to-port="0" />
+		<edge from-layer="195" from-port="3" to-layer="199" to-port="0" />
+		<edge from-layer="196" from-port="2" to-layer="198" to-port="0" />
+		<edge from-layer="197" from-port="0" to-layer="198" to-port="1" />
+		<edge from-layer="198" from-port="2" to-layer="203" to-port="0" />
+		<edge from-layer="199" from-port="2" to-layer="203" to-port="1" />
+		<edge from-layer="200" from-port="2" to-layer="203" to-port="2" />
+		<edge from-layer="201" from-port="0" to-layer="203" to-port="3" />
+		<edge from-layer="202" from-port="0" to-layer="203" to-port="4" />
+		<edge from-layer="203" from-port="5" to-layer="205" to-port="0" />
+		<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
+		<edge from-layer="205" from-port="2" to-layer="207" to-port="0" />
+		<edge from-layer="206" from-port="0" to-layer="207" to-port="1" />
+		<edge from-layer="207" from-port="2" to-layer="213" to-port="0" />
+		<edge from-layer="208" from-port="0" to-layer="209" to-port="0" />
+		<edge from-layer="209" from-port="1" to-layer="211" to-port="0" />
+		<edge from-layer="210" from-port="0" to-layer="211" to-port="1" />
+		<edge from-layer="211" from-port="2" to-layer="212" to-port="0" />
+		<edge from-layer="212" from-port="1" to-layer="213" to-port="1" />
+		<edge from-layer="213" from-port="2" to-layer="215" to-port="0" />
+		<edge from-layer="214" from-port="0" to-layer="215" to-port="1" />
+		<edge from-layer="215" from-port="2" to-layer="216" to-port="1" />
+		<edge from-layer="216" from-port="2" to-layer="240" to-port="0" />
+		<edge from-layer="216" from-port="2" to-layer="218" to-port="0" />
+		<edge from-layer="217" from-port="0" to-layer="218" to-port="1" />
+		<edge from-layer="218" from-port="2" to-layer="220" to-port="0" />
+		<edge from-layer="219" from-port="0" to-layer="220" to-port="1" />
+		<edge from-layer="220" from-port="2" to-layer="222" to-port="0" />
+		<edge from-layer="221" from-port="0" to-layer="222" to-port="1" />
+		<edge from-layer="222" from-port="2" to-layer="228" to-port="0" />
+		<edge from-layer="223" from-port="0" to-layer="224" to-port="0" />
+		<edge from-layer="224" from-port="1" to-layer="226" to-port="0" />
+		<edge from-layer="225" from-port="0" to-layer="226" to-port="1" />
+		<edge from-layer="226" from-port="2" to-layer="227" to-port="0" />
+		<edge from-layer="227" from-port="1" to-layer="228" to-port="1" />
+		<edge from-layer="228" from-port="2" to-layer="230" to-port="0" />
+		<edge from-layer="229" from-port="0" to-layer="230" to-port="1" />
+		<edge from-layer="230" from-port="2" to-layer="231" to-port="0" />
+		<edge from-layer="231" from-port="1" to-layer="237" to-port="0" />
+		<edge from-layer="232" from-port="0" to-layer="233" to-port="0" />
+		<edge from-layer="233" from-port="1" to-layer="235" to-port="0" />
+		<edge from-layer="234" from-port="0" to-layer="235" to-port="1" />
+		<edge from-layer="235" from-port="2" to-layer="236" to-port="0" />
+		<edge from-layer="236" from-port="1" to-layer="237" to-port="1" />
+		<edge from-layer="237" from-port="2" to-layer="239" to-port="0" />
+		<edge from-layer="238" from-port="0" to-layer="239" to-port="1" />
+		<edge from-layer="239" from-port="2" to-layer="240" to-port="1" />
+		<edge from-layer="240" from-port="2" to-layer="280" to-port="0" />
+		<edge from-layer="240" from-port="2" to-layer="242" to-port="0" />
+		<edge from-layer="241" from-port="0" to-layer="242" to-port="1" />
+		<edge from-layer="242" from-port="2" to-layer="244" to-port="0" />
+		<edge from-layer="243" from-port="0" to-layer="244" to-port="1" />
+		<edge from-layer="244" from-port="2" to-layer="246" to-port="0" />
+		<edge from-layer="245" from-port="0" to-layer="246" to-port="1" />
+		<edge from-layer="246" from-port="2" to-layer="252" to-port="0" />
+		<edge from-layer="247" from-port="0" to-layer="248" to-port="0" />
+		<edge from-layer="248" from-port="1" to-layer="250" to-port="0" />
+		<edge from-layer="249" from-port="0" to-layer="250" to-port="1" />
+		<edge from-layer="250" from-port="2" to-layer="251" to-port="0" />
+		<edge from-layer="251" from-port="1" to-layer="252" to-port="1" />
+		<edge from-layer="252" from-port="2" to-layer="254" to-port="0" />
+		<edge from-layer="253" from-port="0" to-layer="254" to-port="1" />
+		<edge from-layer="254" from-port="2" to-layer="256" to-port="0" />
+		<edge from-layer="255" from-port="0" to-layer="256" to-port="1" />
+		<edge from-layer="256" from-port="2" to-layer="258" to-port="0" />
+		<edge from-layer="257" from-port="0" to-layer="258" to-port="1" />
+		<edge from-layer="258" from-port="2" to-layer="259" to-port="0" />
+		<edge from-layer="259" from-port="2" to-layer="260" to-port="0" />
+		<edge from-layer="259" from-port="4" to-layer="264" to-port="0" />
+		<edge from-layer="259" from-port="3" to-layer="263" to-port="0" />
+		<edge from-layer="260" from-port="2" to-layer="262" to-port="0" />
+		<edge from-layer="261" from-port="0" to-layer="262" to-port="1" />
+		<edge from-layer="262" from-port="2" to-layer="267" to-port="0" />
+		<edge from-layer="263" from-port="2" to-layer="267" to-port="1" />
+		<edge from-layer="264" from-port="2" to-layer="267" to-port="2" />
+		<edge from-layer="265" from-port="0" to-layer="267" to-port="3" />
+		<edge from-layer="266" from-port="0" to-layer="267" to-port="4" />
+		<edge from-layer="267" from-port="5" to-layer="269" to-port="0" />
+		<edge from-layer="268" from-port="0" to-layer="269" to-port="1" />
+		<edge from-layer="269" from-port="2" to-layer="271" to-port="0" />
+		<edge from-layer="270" from-port="0" to-layer="271" to-port="1" />
+		<edge from-layer="271" from-port="2" to-layer="277" to-port="0" />
+		<edge from-layer="272" from-port="0" to-layer="273" to-port="0" />
+		<edge from-layer="273" from-port="1" to-layer="275" to-port="0" />
+		<edge from-layer="274" from-port="0" to-layer="275" to-port="1" />
+		<edge from-layer="275" from-port="2" to-layer="276" to-port="0" />
+		<edge from-layer="276" from-port="1" to-layer="277" to-port="1" />
+		<edge from-layer="277" from-port="2" to-layer="279" to-port="0" />
+		<edge from-layer="278" from-port="0" to-layer="279" to-port="1" />
+		<edge from-layer="279" from-port="2" to-layer="280" to-port="1" />
+		<edge from-layer="280" from-port="2" to-layer="304" to-port="0" />
+		<edge from-layer="280" from-port="2" to-layer="282" to-port="0" />
+		<edge from-layer="281" from-port="0" to-layer="282" to-port="1" />
+		<edge from-layer="282" from-port="2" to-layer="284" to-port="0" />
+		<edge from-layer="283" from-port="0" to-layer="284" to-port="1" />
+		<edge from-layer="284" from-port="2" to-layer="286" to-port="0" />
+		<edge from-layer="285" from-port="0" to-layer="286" to-port="1" />
+		<edge from-layer="286" from-port="2" to-layer="292" to-port="0" />
+		<edge from-layer="287" from-port="0" to-layer="288" to-port="0" />
+		<edge from-layer="288" from-port="1" to-layer="290" to-port="0" />
+		<edge from-layer="289" from-port="0" to-layer="290" to-port="1" />
+		<edge from-layer="290" from-port="2" to-layer="291" to-port="0" />
+		<edge from-layer="291" from-port="1" to-layer="292" to-port="1" />
+		<edge from-layer="292" from-port="2" to-layer="294" to-port="0" />
+		<edge from-layer="293" from-port="0" to-layer="294" to-port="1" />
+		<edge from-layer="294" from-port="2" to-layer="295" to-port="0" />
+		<edge from-layer="295" from-port="1" to-layer="301" to-port="0" />
+		<edge from-layer="296" from-port="0" to-layer="297" to-port="0" />
+		<edge from-layer="297" from-port="1" to-layer="299" to-port="0" />
+		<edge from-layer="298" from-port="0" to-layer="299" to-port="1" />
+		<edge from-layer="299" from-port="2" to-layer="300" to-port="0" />
+		<edge from-layer="300" from-port="1" to-layer="301" to-port="1" />
+		<edge from-layer="301" from-port="2" to-layer="303" to-port="0" />
+		<edge from-layer="302" from-port="0" to-layer="303" to-port="1" />
+		<edge from-layer="303" from-port="2" to-layer="304" to-port="1" />
+		<edge from-layer="304" from-port="2" to-layer="344" to-port="0" />
+		<edge from-layer="304" from-port="2" to-layer="306" to-port="0" />
+		<edge from-layer="305" from-port="0" to-layer="306" to-port="1" />
+		<edge from-layer="306" from-port="2" to-layer="308" to-port="0" />
+		<edge from-layer="307" from-port="0" to-layer="308" to-port="1" />
+		<edge from-layer="308" from-port="2" to-layer="310" to-port="0" />
+		<edge from-layer="309" from-port="0" to-layer="310" to-port="1" />
+		<edge from-layer="310" from-port="2" to-layer="316" to-port="0" />
+		<edge from-layer="311" from-port="0" to-layer="312" to-port="0" />
+		<edge from-layer="312" from-port="1" to-layer="314" to-port="0" />
+		<edge from-layer="313" from-port="0" to-layer="314" to-port="1" />
+		<edge from-layer="314" from-port="2" to-layer="315" to-port="0" />
+		<edge from-layer="315" from-port="1" to-layer="316" to-port="1" />
+		<edge from-layer="316" from-port="2" to-layer="318" to-port="0" />
+		<edge from-layer="317" from-port="0" to-layer="318" to-port="1" />
+		<edge from-layer="318" from-port="2" to-layer="320" to-port="0" />
+		<edge from-layer="319" from-port="0" to-layer="320" to-port="1" />
+		<edge from-layer="320" from-port="2" to-layer="322" to-port="0" />
+		<edge from-layer="321" from-port="0" to-layer="322" to-port="1" />
+		<edge from-layer="322" from-port="2" to-layer="323" to-port="0" />
+		<edge from-layer="323" from-port="2" to-layer="324" to-port="0" />
+		<edge from-layer="323" from-port="3" to-layer="327" to-port="0" />
+		<edge from-layer="323" from-port="4" to-layer="328" to-port="0" />
+		<edge from-layer="324" from-port="2" to-layer="326" to-port="0" />
+		<edge from-layer="325" from-port="0" to-layer="326" to-port="1" />
+		<edge from-layer="326" from-port="2" to-layer="331" to-port="0" />
+		<edge from-layer="327" from-port="2" to-layer="331" to-port="1" />
+		<edge from-layer="328" from-port="2" to-layer="331" to-port="2" />
+		<edge from-layer="329" from-port="0" to-layer="331" to-port="3" />
+		<edge from-layer="330" from-port="0" to-layer="331" to-port="4" />
+		<edge from-layer="331" from-port="5" to-layer="333" to-port="0" />
+		<edge from-layer="332" from-port="0" to-layer="333" to-port="1" />
+		<edge from-layer="333" from-port="2" to-layer="335" to-port="0" />
+		<edge from-layer="334" from-port="0" to-layer="335" to-port="1" />
+		<edge from-layer="335" from-port="2" to-layer="341" to-port="0" />
+		<edge from-layer="336" from-port="0" to-layer="337" to-port="0" />
+		<edge from-layer="337" from-port="1" to-layer="339" to-port="0" />
+		<edge from-layer="338" from-port="0" to-layer="339" to-port="1" />
+		<edge from-layer="339" from-port="2" to-layer="340" to-port="0" />
+		<edge from-layer="340" from-port="1" to-layer="341" to-port="1" />
+		<edge from-layer="341" from-port="2" to-layer="343" to-port="0" />
+		<edge from-layer="342" from-port="0" to-layer="343" to-port="1" />
+		<edge from-layer="343" from-port="2" to-layer="344" to-port="1" />
+		<edge from-layer="344" from-port="2" to-layer="368" to-port="0" />
+		<edge from-layer="344" from-port="2" to-layer="346" to-port="0" />
+		<edge from-layer="345" from-port="0" to-layer="346" to-port="1" />
+		<edge from-layer="346" from-port="2" to-layer="348" to-port="0" />
+		<edge from-layer="347" from-port="0" to-layer="348" to-port="1" />
+		<edge from-layer="348" from-port="2" to-layer="350" to-port="0" />
+		<edge from-layer="349" from-port="0" to-layer="350" to-port="1" />
+		<edge from-layer="350" from-port="2" to-layer="356" to-port="0" />
+		<edge from-layer="351" from-port="0" to-layer="352" to-port="0" />
+		<edge from-layer="352" from-port="1" to-layer="354" to-port="0" />
+		<edge from-layer="353" from-port="0" to-layer="354" to-port="1" />
+		<edge from-layer="354" from-port="2" to-layer="355" to-port="0" />
+		<edge from-layer="355" from-port="1" to-layer="356" to-port="1" />
+		<edge from-layer="356" from-port="2" to-layer="358" to-port="0" />
+		<edge from-layer="357" from-port="0" to-layer="358" to-port="1" />
+		<edge from-layer="358" from-port="2" to-layer="359" to-port="0" />
+		<edge from-layer="359" from-port="1" to-layer="365" to-port="0" />
+		<edge from-layer="360" from-port="0" to-layer="361" to-port="0" />
+		<edge from-layer="361" from-port="1" to-layer="363" to-port="0" />
+		<edge from-layer="362" from-port="0" to-layer="363" to-port="1" />
+		<edge from-layer="363" from-port="2" to-layer="364" to-port="0" />
+		<edge from-layer="364" from-port="1" to-layer="365" to-port="1" />
+		<edge from-layer="365" from-port="2" to-layer="367" to-port="0" />
+		<edge from-layer="366" from-port="0" to-layer="367" to-port="1" />
+		<edge from-layer="367" from-port="2" to-layer="368" to-port="1" />
+		<edge from-layer="368" from-port="2" to-layer="408" to-port="0" />
+		<edge from-layer="368" from-port="2" to-layer="370" to-port="0" />
+		<edge from-layer="369" from-port="0" to-layer="370" to-port="1" />
+		<edge from-layer="370" from-port="2" to-layer="372" to-port="0" />
+		<edge from-layer="371" from-port="0" to-layer="372" to-port="1" />
+		<edge from-layer="372" from-port="2" to-layer="374" to-port="0" />
+		<edge from-layer="373" from-port="0" to-layer="374" to-port="1" />
+		<edge from-layer="374" from-port="2" to-layer="380" to-port="0" />
+		<edge from-layer="375" from-port="0" to-layer="376" to-port="0" />
+		<edge from-layer="376" from-port="1" to-layer="378" to-port="0" />
+		<edge from-layer="377" from-port="0" to-layer="378" to-port="1" />
+		<edge from-layer="378" from-port="2" to-layer="379" to-port="0" />
+		<edge from-layer="379" from-port="1" to-layer="380" to-port="1" />
+		<edge from-layer="380" from-port="2" to-layer="382" to-port="0" />
+		<edge from-layer="381" from-port="0" to-layer="382" to-port="1" />
+		<edge from-layer="382" from-port="2" to-layer="384" to-port="0" />
+		<edge from-layer="383" from-port="0" to-layer="384" to-port="1" />
+		<edge from-layer="384" from-port="2" to-layer="386" to-port="0" />
+		<edge from-layer="385" from-port="0" to-layer="386" to-port="1" />
+		<edge from-layer="386" from-port="2" to-layer="387" to-port="0" />
+		<edge from-layer="387" from-port="4" to-layer="392" to-port="0" />
+		<edge from-layer="387" from-port="3" to-layer="391" to-port="0" />
+		<edge from-layer="387" from-port="2" to-layer="388" to-port="0" />
+		<edge from-layer="388" from-port="2" to-layer="390" to-port="0" />
+		<edge from-layer="389" from-port="0" to-layer="390" to-port="1" />
+		<edge from-layer="390" from-port="2" to-layer="395" to-port="0" />
+		<edge from-layer="391" from-port="2" to-layer="395" to-port="1" />
+		<edge from-layer="392" from-port="2" to-layer="395" to-port="2" />
+		<edge from-layer="393" from-port="0" to-layer="395" to-port="3" />
+		<edge from-layer="394" from-port="0" to-layer="395" to-port="4" />
+		<edge from-layer="395" from-port="5" to-layer="397" to-port="0" />
+		<edge from-layer="396" from-port="0" to-layer="397" to-port="1" />
+		<edge from-layer="397" from-port="2" to-layer="399" to-port="0" />
+		<edge from-layer="398" from-port="0" to-layer="399" to-port="1" />
+		<edge from-layer="399" from-port="2" to-layer="405" to-port="0" />
+		<edge from-layer="400" from-port="0" to-layer="401" to-port="0" />
+		<edge from-layer="401" from-port="1" to-layer="403" to-port="0" />
+		<edge from-layer="402" from-port="0" to-layer="403" to-port="1" />
+		<edge from-layer="403" from-port="2" to-layer="404" to-port="0" />
+		<edge from-layer="404" from-port="1" to-layer="405" to-port="1" />
+		<edge from-layer="405" from-port="2" to-layer="407" to-port="0" />
+		<edge from-layer="406" from-port="0" to-layer="407" to-port="1" />
+		<edge from-layer="407" from-port="2" to-layer="408" to-port="1" />
+		<edge from-layer="408" from-port="2" to-layer="410" to-port="0" />
+		<edge from-layer="408" from-port="2" to-layer="432" to-port="0" />
+		<edge from-layer="409" from-port="0" to-layer="410" to-port="1" />
+		<edge from-layer="410" from-port="2" to-layer="412" to-port="0" />
+		<edge from-layer="411" from-port="0" to-layer="412" to-port="1" />
+		<edge from-layer="412" from-port="2" to-layer="414" to-port="0" />
+		<edge from-layer="413" from-port="0" to-layer="414" to-port="1" />
+		<edge from-layer="414" from-port="2" to-layer="420" to-port="0" />
+		<edge from-layer="415" from-port="0" to-layer="416" to-port="0" />
+		<edge from-layer="416" from-port="1" to-layer="418" to-port="0" />
+		<edge from-layer="417" from-port="0" to-layer="418" to-port="1" />
+		<edge from-layer="418" from-port="2" to-layer="419" to-port="0" />
+		<edge from-layer="419" from-port="1" to-layer="420" to-port="1" />
+		<edge from-layer="420" from-port="2" to-layer="422" to-port="0" />
+		<edge from-layer="421" from-port="0" to-layer="422" to-port="1" />
+		<edge from-layer="422" from-port="2" to-layer="423" to-port="0" />
+		<edge from-layer="423" from-port="1" to-layer="429" to-port="0" />
+		<edge from-layer="424" from-port="0" to-layer="425" to-port="0" />
+		<edge from-layer="425" from-port="1" to-layer="427" to-port="0" />
+		<edge from-layer="426" from-port="0" to-layer="427" to-port="1" />
+		<edge from-layer="427" from-port="2" to-layer="428" to-port="0" />
+		<edge from-layer="428" from-port="1" to-layer="429" to-port="1" />
+		<edge from-layer="429" from-port="2" to-layer="431" to-port="0" />
+		<edge from-layer="430" from-port="0" to-layer="431" to-port="1" />
+		<edge from-layer="431" from-port="2" to-layer="432" to-port="1" />
+		<edge from-layer="432" from-port="2" to-layer="472" to-port="0" />
+		<edge from-layer="432" from-port="2" to-layer="434" to-port="0" />
+		<edge from-layer="433" from-port="0" to-layer="434" to-port="1" />
+		<edge from-layer="434" from-port="2" to-layer="436" to-port="0" />
+		<edge from-layer="435" from-port="0" to-layer="436" to-port="1" />
+		<edge from-layer="436" from-port="2" to-layer="438" to-port="0" />
+		<edge from-layer="437" from-port="0" to-layer="438" to-port="1" />
+		<edge from-layer="438" from-port="2" to-layer="444" to-port="0" />
+		<edge from-layer="439" from-port="0" to-layer="440" to-port="0" />
+		<edge from-layer="440" from-port="1" to-layer="442" to-port="0" />
+		<edge from-layer="441" from-port="0" to-layer="442" to-port="1" />
+		<edge from-layer="442" from-port="2" to-layer="443" to-port="0" />
+		<edge from-layer="443" from-port="1" to-layer="444" to-port="1" />
+		<edge from-layer="444" from-port="2" to-layer="446" to-port="0" />
+		<edge from-layer="445" from-port="0" to-layer="446" to-port="1" />
+		<edge from-layer="446" from-port="2" to-layer="448" to-port="0" />
+		<edge from-layer="447" from-port="0" to-layer="448" to-port="1" />
+		<edge from-layer="448" from-port="2" to-layer="450" to-port="0" />
+		<edge from-layer="449" from-port="0" to-layer="450" to-port="1" />
+		<edge from-layer="450" from-port="2" to-layer="451" to-port="0" />
+		<edge from-layer="451" from-port="3" to-layer="455" to-port="0" />
+		<edge from-layer="451" from-port="2" to-layer="452" to-port="0" />
+		<edge from-layer="451" from-port="4" to-layer="456" to-port="0" />
+		<edge from-layer="452" from-port="2" to-layer="454" to-port="0" />
+		<edge from-layer="453" from-port="0" to-layer="454" to-port="1" />
+		<edge from-layer="454" from-port="2" to-layer="459" to-port="0" />
+		<edge from-layer="455" from-port="2" to-layer="459" to-port="1" />
+		<edge from-layer="456" from-port="2" to-layer="459" to-port="2" />
+		<edge from-layer="457" from-port="0" to-layer="459" to-port="3" />
+		<edge from-layer="458" from-port="0" to-layer="459" to-port="4" />
+		<edge from-layer="459" from-port="5" to-layer="461" to-port="0" />
+		<edge from-layer="460" from-port="0" to-layer="461" to-port="1" />
+		<edge from-layer="461" from-port="2" to-layer="463" to-port="0" />
+		<edge from-layer="462" from-port="0" to-layer="463" to-port="1" />
+		<edge from-layer="463" from-port="2" to-layer="469" to-port="0" />
+		<edge from-layer="464" from-port="0" to-layer="465" to-port="0" />
+		<edge from-layer="465" from-port="1" to-layer="467" to-port="0" />
+		<edge from-layer="466" from-port="0" to-layer="467" to-port="1" />
+		<edge from-layer="467" from-port="2" to-layer="468" to-port="0" />
+		<edge from-layer="468" from-port="1" to-layer="469" to-port="1" />
+		<edge from-layer="469" from-port="2" to-layer="471" to-port="0" />
+		<edge from-layer="470" from-port="0" to-layer="471" to-port="1" />
+		<edge from-layer="471" from-port="2" to-layer="472" to-port="1" />
+		<edge from-layer="472" from-port="2" to-layer="474" to-port="0" />
+		<edge from-layer="472" from-port="2" to-layer="496" to-port="0" />
+		<edge from-layer="473" from-port="0" to-layer="474" to-port="1" />
+		<edge from-layer="474" from-port="2" to-layer="476" to-port="0" />
+		<edge from-layer="475" from-port="0" to-layer="476" to-port="1" />
+		<edge from-layer="476" from-port="2" to-layer="478" to-port="0" />
+		<edge from-layer="477" from-port="0" to-layer="478" to-port="1" />
+		<edge from-layer="478" from-port="2" to-layer="484" to-port="0" />
+		<edge from-layer="479" from-port="0" to-layer="480" to-port="0" />
+		<edge from-layer="480" from-port="1" to-layer="482" to-port="0" />
+		<edge from-layer="481" from-port="0" to-layer="482" to-port="1" />
+		<edge from-layer="482" from-port="2" to-layer="483" to-port="0" />
+		<edge from-layer="483" from-port="1" to-layer="484" to-port="1" />
+		<edge from-layer="484" from-port="2" to-layer="486" to-port="0" />
+		<edge from-layer="485" from-port="0" to-layer="486" to-port="1" />
+		<edge from-layer="486" from-port="2" to-layer="487" to-port="0" />
+		<edge from-layer="487" from-port="1" to-layer="493" to-port="0" />
+		<edge from-layer="488" from-port="0" to-layer="489" to-port="0" />
+		<edge from-layer="489" from-port="1" to-layer="491" to-port="0" />
+		<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
+		<edge from-layer="491" from-port="2" to-layer="492" to-port="0" />
+		<edge from-layer="492" from-port="1" to-layer="493" to-port="1" />
+		<edge from-layer="493" from-port="2" to-layer="495" to-port="0" />
+		<edge from-layer="494" from-port="0" to-layer="495" to-port="1" />
+		<edge from-layer="495" from-port="2" to-layer="496" to-port="1" />
+		<edge from-layer="496" from-port="2" to-layer="498" to-port="0" />
+		<edge from-layer="496" from-port="2" to-layer="536" to-port="0" />
+		<edge from-layer="497" from-port="0" to-layer="498" to-port="1" />
+		<edge from-layer="498" from-port="2" to-layer="500" to-port="0" />
+		<edge from-layer="499" from-port="0" to-layer="500" to-port="1" />
+		<edge from-layer="500" from-port="2" to-layer="502" to-port="0" />
+		<edge from-layer="501" from-port="0" to-layer="502" to-port="1" />
+		<edge from-layer="502" from-port="2" to-layer="508" to-port="0" />
+		<edge from-layer="503" from-port="0" to-layer="504" to-port="0" />
+		<edge from-layer="504" from-port="1" to-layer="506" to-port="0" />
+		<edge from-layer="505" from-port="0" to-layer="506" to-port="1" />
+		<edge from-layer="506" from-port="2" to-layer="507" to-port="0" />
+		<edge from-layer="507" from-port="1" to-layer="508" to-port="1" />
+		<edge from-layer="508" from-port="2" to-layer="510" to-port="0" />
+		<edge from-layer="509" from-port="0" to-layer="510" to-port="1" />
+		<edge from-layer="510" from-port="2" to-layer="512" to-port="0" />
+		<edge from-layer="511" from-port="0" to-layer="512" to-port="1" />
+		<edge from-layer="512" from-port="2" to-layer="514" to-port="0" />
+		<edge from-layer="513" from-port="0" to-layer="514" to-port="1" />
+		<edge from-layer="514" from-port="2" to-layer="515" to-port="0" />
+		<edge from-layer="515" from-port="3" to-layer="519" to-port="0" />
+		<edge from-layer="515" from-port="4" to-layer="520" to-port="0" />
+		<edge from-layer="515" from-port="2" to-layer="516" to-port="0" />
+		<edge from-layer="516" from-port="2" to-layer="518" to-port="0" />
+		<edge from-layer="517" from-port="0" to-layer="518" to-port="1" />
+		<edge from-layer="518" from-port="2" to-layer="523" to-port="0" />
+		<edge from-layer="519" from-port="2" to-layer="523" to-port="1" />
+		<edge from-layer="520" from-port="2" to-layer="523" to-port="2" />
+		<edge from-layer="521" from-port="0" to-layer="523" to-port="3" />
+		<edge from-layer="522" from-port="0" to-layer="523" to-port="4" />
+		<edge from-layer="523" from-port="5" to-layer="525" to-port="0" />
+		<edge from-layer="524" from-port="0" to-layer="525" to-port="1" />
+		<edge from-layer="525" from-port="2" to-layer="527" to-port="0" />
+		<edge from-layer="526" from-port="0" to-layer="527" to-port="1" />
+		<edge from-layer="527" from-port="2" to-layer="533" to-port="0" />
+		<edge from-layer="528" from-port="0" to-layer="529" to-port="0" />
+		<edge from-layer="529" from-port="1" to-layer="531" to-port="0" />
+		<edge from-layer="530" from-port="0" to-layer="531" to-port="1" />
+		<edge from-layer="531" from-port="2" to-layer="532" to-port="0" />
+		<edge from-layer="532" from-port="1" to-layer="533" to-port="1" />
+		<edge from-layer="533" from-port="2" to-layer="535" to-port="0" />
+		<edge from-layer="534" from-port="0" to-layer="535" to-port="1" />
+		<edge from-layer="535" from-port="2" to-layer="536" to-port="1" />
+		<edge from-layer="536" from-port="2" to-layer="560" to-port="0" />
+		<edge from-layer="536" from-port="2" to-layer="538" to-port="0" />
+		<edge from-layer="537" from-port="0" to-layer="538" to-port="1" />
+		<edge from-layer="538" from-port="2" to-layer="540" to-port="0" />
+		<edge from-layer="539" from-port="0" to-layer="540" to-port="1" />
+		<edge from-layer="540" from-port="2" to-layer="542" to-port="0" />
+		<edge from-layer="541" from-port="0" to-layer="542" to-port="1" />
+		<edge from-layer="542" from-port="2" to-layer="548" to-port="0" />
+		<edge from-layer="543" from-port="0" to-layer="544" to-port="0" />
+		<edge from-layer="544" from-port="1" to-layer="546" to-port="0" />
+		<edge from-layer="545" from-port="0" to-layer="546" to-port="1" />
+		<edge from-layer="546" from-port="2" to-layer="547" to-port="0" />
+		<edge from-layer="547" from-port="1" to-layer="548" to-port="1" />
+		<edge from-layer="548" from-port="2" to-layer="550" to-port="0" />
+		<edge from-layer="549" from-port="0" to-layer="550" to-port="1" />
+		<edge from-layer="550" from-port="2" to-layer="551" to-port="0" />
+		<edge from-layer="551" from-port="1" to-layer="557" to-port="0" />
+		<edge from-layer="552" from-port="0" to-layer="553" to-port="0" />
+		<edge from-layer="553" from-port="1" to-layer="555" to-port="0" />
+		<edge from-layer="554" from-port="0" to-layer="555" to-port="1" />
+		<edge from-layer="555" from-port="2" to-layer="556" to-port="0" />
+		<edge from-layer="556" from-port="1" to-layer="557" to-port="1" />
+		<edge from-layer="557" from-port="2" to-layer="559" to-port="0" />
+		<edge from-layer="558" from-port="0" to-layer="559" to-port="1" />
+		<edge from-layer="559" from-port="2" to-layer="560" to-port="1" />
+		<edge from-layer="560" from-port="2" to-layer="600" to-port="0" />
+		<edge from-layer="560" from-port="2" to-layer="562" to-port="0" />
+		<edge from-layer="561" from-port="0" to-layer="562" to-port="1" />
+		<edge from-layer="562" from-port="2" to-layer="564" to-port="0" />
+		<edge from-layer="563" from-port="0" to-layer="564" to-port="1" />
+		<edge from-layer="564" from-port="2" to-layer="566" to-port="0" />
+		<edge from-layer="565" from-port="0" to-layer="566" to-port="1" />
+		<edge from-layer="566" from-port="2" to-layer="572" to-port="0" />
+		<edge from-layer="567" from-port="0" to-layer="568" to-port="0" />
+		<edge from-layer="568" from-port="1" to-layer="570" to-port="0" />
+		<edge from-layer="569" from-port="0" to-layer="570" to-port="1" />
+		<edge from-layer="570" from-port="2" to-layer="571" to-port="0" />
+		<edge from-layer="571" from-port="1" to-layer="572" to-port="1" />
+		<edge from-layer="572" from-port="2" to-layer="574" to-port="0" />
+		<edge from-layer="573" from-port="0" to-layer="574" to-port="1" />
+		<edge from-layer="574" from-port="2" to-layer="576" to-port="0" />
+		<edge from-layer="575" from-port="0" to-layer="576" to-port="1" />
+		<edge from-layer="576" from-port="2" to-layer="578" to-port="0" />
+		<edge from-layer="577" from-port="0" to-layer="578" to-port="1" />
+		<edge from-layer="578" from-port="2" to-layer="579" to-port="0" />
+		<edge from-layer="579" from-port="4" to-layer="584" to-port="0" />
+		<edge from-layer="579" from-port="2" to-layer="580" to-port="0" />
+		<edge from-layer="579" from-port="3" to-layer="583" to-port="0" />
+		<edge from-layer="580" from-port="2" to-layer="582" to-port="0" />
+		<edge from-layer="581" from-port="0" to-layer="582" to-port="1" />
+		<edge from-layer="582" from-port="2" to-layer="587" to-port="0" />
+		<edge from-layer="583" from-port="2" to-layer="587" to-port="1" />
+		<edge from-layer="584" from-port="2" to-layer="587" to-port="2" />
+		<edge from-layer="585" from-port="0" to-layer="587" to-port="3" />
+		<edge from-layer="586" from-port="0" to-layer="587" to-port="4" />
+		<edge from-layer="587" from-port="5" to-layer="589" to-port="0" />
+		<edge from-layer="588" from-port="0" to-layer="589" to-port="1" />
+		<edge from-layer="589" from-port="2" to-layer="591" to-port="0" />
+		<edge from-layer="590" from-port="0" to-layer="591" to-port="1" />
+		<edge from-layer="591" from-port="2" to-layer="597" to-port="0" />
+		<edge from-layer="592" from-port="0" to-layer="593" to-port="0" />
+		<edge from-layer="593" from-port="1" to-layer="595" to-port="0" />
+		<edge from-layer="594" from-port="0" to-layer="595" to-port="1" />
+		<edge from-layer="595" from-port="2" to-layer="596" to-port="0" />
+		<edge from-layer="596" from-port="1" to-layer="597" to-port="1" />
+		<edge from-layer="597" from-port="2" to-layer="599" to-port="0" />
+		<edge from-layer="598" from-port="0" to-layer="599" to-port="1" />
+		<edge from-layer="599" from-port="2" to-layer="600" to-port="1" />
+		<edge from-layer="600" from-port="2" to-layer="602" to-port="0" />
+		<edge from-layer="600" from-port="2" to-layer="624" to-port="0" />
+		<edge from-layer="601" from-port="0" to-layer="602" to-port="1" />
+		<edge from-layer="602" from-port="2" to-layer="604" to-port="0" />
+		<edge from-layer="603" from-port="0" to-layer="604" to-port="1" />
+		<edge from-layer="604" from-port="2" to-layer="606" to-port="0" />
+		<edge from-layer="605" from-port="0" to-layer="606" to-port="1" />
+		<edge from-layer="606" from-port="2" to-layer="612" to-port="0" />
+		<edge from-layer="607" from-port="0" to-layer="608" to-port="0" />
+		<edge from-layer="608" from-port="1" to-layer="610" to-port="0" />
+		<edge from-layer="609" from-port="0" to-layer="610" to-port="1" />
+		<edge from-layer="610" from-port="2" to-layer="611" to-port="0" />
+		<edge from-layer="611" from-port="1" to-layer="612" to-port="1" />
+		<edge from-layer="612" from-port="2" to-layer="614" to-port="0" />
+		<edge from-layer="613" from-port="0" to-layer="614" to-port="1" />
+		<edge from-layer="614" from-port="2" to-layer="615" to-port="0" />
+		<edge from-layer="615" from-port="1" to-layer="621" to-port="0" />
+		<edge from-layer="616" from-port="0" to-layer="617" to-port="0" />
+		<edge from-layer="617" from-port="1" to-layer="619" to-port="0" />
+		<edge from-layer="618" from-port="0" to-layer="619" to-port="1" />
+		<edge from-layer="619" from-port="2" to-layer="620" to-port="0" />
+		<edge from-layer="620" from-port="1" to-layer="621" to-port="1" />
+		<edge from-layer="621" from-port="2" to-layer="623" to-port="0" />
+		<edge from-layer="622" from-port="0" to-layer="623" to-port="1" />
+		<edge from-layer="623" from-port="2" to-layer="624" to-port="1" />
+		<edge from-layer="624" from-port="2" to-layer="626" to-port="0" />
+		<edge from-layer="624" from-port="2" to-layer="664" to-port="0" />
+		<edge from-layer="625" from-port="0" to-layer="626" to-port="1" />
+		<edge from-layer="626" from-port="2" to-layer="628" to-port="0" />
+		<edge from-layer="627" from-port="0" to-layer="628" to-port="1" />
+		<edge from-layer="628" from-port="2" to-layer="630" to-port="0" />
+		<edge from-layer="629" from-port="0" to-layer="630" to-port="1" />
+		<edge from-layer="630" from-port="2" to-layer="636" to-port="0" />
+		<edge from-layer="631" from-port="0" to-layer="632" to-port="0" />
+		<edge from-layer="632" from-port="1" to-layer="634" to-port="0" />
+		<edge from-layer="633" from-port="0" to-layer="634" to-port="1" />
+		<edge from-layer="634" from-port="2" to-layer="635" to-port="0" />
+		<edge from-layer="635" from-port="1" to-layer="636" to-port="1" />
+		<edge from-layer="636" from-port="2" to-layer="638" to-port="0" />
+		<edge from-layer="637" from-port="0" to-layer="638" to-port="1" />
+		<edge from-layer="638" from-port="2" to-layer="640" to-port="0" />
+		<edge from-layer="639" from-port="0" to-layer="640" to-port="1" />
+		<edge from-layer="640" from-port="2" to-layer="642" to-port="0" />
+		<edge from-layer="641" from-port="0" to-layer="642" to-port="1" />
+		<edge from-layer="642" from-port="2" to-layer="643" to-port="0" />
+		<edge from-layer="643" from-port="2" to-layer="644" to-port="0" />
+		<edge from-layer="643" from-port="4" to-layer="648" to-port="0" />
+		<edge from-layer="643" from-port="3" to-layer="647" to-port="0" />
+		<edge from-layer="644" from-port="2" to-layer="646" to-port="0" />
+		<edge from-layer="645" from-port="0" to-layer="646" to-port="1" />
+		<edge from-layer="646" from-port="2" to-layer="651" to-port="0" />
+		<edge from-layer="647" from-port="2" to-layer="651" to-port="1" />
+		<edge from-layer="648" from-port="2" to-layer="651" to-port="2" />
+		<edge from-layer="649" from-port="0" to-layer="651" to-port="3" />
+		<edge from-layer="650" from-port="0" to-layer="651" to-port="4" />
+		<edge from-layer="651" from-port="5" to-layer="653" to-port="0" />
+		<edge from-layer="652" from-port="0" to-layer="653" to-port="1" />
+		<edge from-layer="653" from-port="2" to-layer="655" to-port="0" />
+		<edge from-layer="654" from-port="0" to-layer="655" to-port="1" />
+		<edge from-layer="655" from-port="2" to-layer="661" to-port="0" />
+		<edge from-layer="656" from-port="0" to-layer="657" to-port="0" />
+		<edge from-layer="657" from-port="1" to-layer="659" to-port="0" />
+		<edge from-layer="658" from-port="0" to-layer="659" to-port="1" />
+		<edge from-layer="659" from-port="2" to-layer="660" to-port="0" />
+		<edge from-layer="660" from-port="1" to-layer="661" to-port="1" />
+		<edge from-layer="661" from-port="2" to-layer="663" to-port="0" />
+		<edge from-layer="662" from-port="0" to-layer="663" to-port="1" />
+		<edge from-layer="663" from-port="2" to-layer="664" to-port="1" />
+		<edge from-layer="664" from-port="2" to-layer="666" to-port="0" />
+		<edge from-layer="664" from-port="2" to-layer="688" to-port="0" />
+		<edge from-layer="665" from-port="0" to-layer="666" to-port="1" />
+		<edge from-layer="666" from-port="2" to-layer="668" to-port="0" />
+		<edge from-layer="667" from-port="0" to-layer="668" to-port="1" />
+		<edge from-layer="668" from-port="2" to-layer="670" to-port="0" />
+		<edge from-layer="669" from-port="0" to-layer="670" to-port="1" />
+		<edge from-layer="670" from-port="2" to-layer="676" to-port="0" />
+		<edge from-layer="671" from-port="0" to-layer="672" to-port="0" />
+		<edge from-layer="672" from-port="1" to-layer="674" to-port="0" />
+		<edge from-layer="673" from-port="0" to-layer="674" to-port="1" />
+		<edge from-layer="674" from-port="2" to-layer="675" to-port="0" />
+		<edge from-layer="675" from-port="1" to-layer="676" to-port="1" />
+		<edge from-layer="676" from-port="2" to-layer="678" to-port="0" />
+		<edge from-layer="677" from-port="0" to-layer="678" to-port="1" />
+		<edge from-layer="678" from-port="2" to-layer="679" to-port="0" />
+		<edge from-layer="679" from-port="1" to-layer="685" to-port="0" />
+		<edge from-layer="680" from-port="0" to-layer="681" to-port="0" />
+		<edge from-layer="681" from-port="1" to-layer="683" to-port="0" />
+		<edge from-layer="682" from-port="0" to-layer="683" to-port="1" />
+		<edge from-layer="683" from-port="2" to-layer="684" to-port="0" />
+		<edge from-layer="684" from-port="1" to-layer="685" to-port="1" />
+		<edge from-layer="685" from-port="2" to-layer="687" to-port="0" />
+		<edge from-layer="686" from-port="0" to-layer="687" to-port="1" />
+		<edge from-layer="687" from-port="2" to-layer="688" to-port="1" />
+		<edge from-layer="688" from-port="2" to-layer="728" to-port="0" />
+		<edge from-layer="688" from-port="2" to-layer="690" to-port="0" />
+		<edge from-layer="689" from-port="0" to-layer="690" to-port="1" />
+		<edge from-layer="690" from-port="2" to-layer="692" to-port="0" />
+		<edge from-layer="691" from-port="0" to-layer="692" to-port="1" />
+		<edge from-layer="692" from-port="2" to-layer="694" to-port="0" />
+		<edge from-layer="693" from-port="0" to-layer="694" to-port="1" />
+		<edge from-layer="694" from-port="2" to-layer="700" to-port="0" />
+		<edge from-layer="695" from-port="0" to-layer="696" to-port="0" />
+		<edge from-layer="696" from-port="1" to-layer="698" to-port="0" />
+		<edge from-layer="697" from-port="0" to-layer="698" to-port="1" />
+		<edge from-layer="698" from-port="2" to-layer="699" to-port="0" />
+		<edge from-layer="699" from-port="1" to-layer="700" to-port="1" />
+		<edge from-layer="700" from-port="2" to-layer="702" to-port="0" />
+		<edge from-layer="701" from-port="0" to-layer="702" to-port="1" />
+		<edge from-layer="702" from-port="2" to-layer="704" to-port="0" />
+		<edge from-layer="703" from-port="0" to-layer="704" to-port="1" />
+		<edge from-layer="704" from-port="2" to-layer="706" to-port="0" />
+		<edge from-layer="705" from-port="0" to-layer="706" to-port="1" />
+		<edge from-layer="706" from-port="2" to-layer="707" to-port="0" />
+		<edge from-layer="707" from-port="3" to-layer="711" to-port="0" />
+		<edge from-layer="707" from-port="2" to-layer="708" to-port="0" />
+		<edge from-layer="707" from-port="4" to-layer="712" to-port="0" />
+		<edge from-layer="708" from-port="2" to-layer="710" to-port="0" />
+		<edge from-layer="709" from-port="0" to-layer="710" to-port="1" />
+		<edge from-layer="710" from-port="2" to-layer="715" to-port="0" />
+		<edge from-layer="711" from-port="2" to-layer="715" to-port="1" />
+		<edge from-layer="712" from-port="2" to-layer="715" to-port="2" />
+		<edge from-layer="713" from-port="0" to-layer="715" to-port="3" />
+		<edge from-layer="714" from-port="0" to-layer="715" to-port="4" />
+		<edge from-layer="715" from-port="5" to-layer="717" to-port="0" />
+		<edge from-layer="716" from-port="0" to-layer="717" to-port="1" />
+		<edge from-layer="717" from-port="2" to-layer="719" to-port="0" />
+		<edge from-layer="718" from-port="0" to-layer="719" to-port="1" />
+		<edge from-layer="719" from-port="2" to-layer="725" to-port="0" />
+		<edge from-layer="720" from-port="0" to-layer="721" to-port="0" />
+		<edge from-layer="721" from-port="1" to-layer="723" to-port="0" />
+		<edge from-layer="722" from-port="0" to-layer="723" to-port="1" />
+		<edge from-layer="723" from-port="2" to-layer="724" to-port="0" />
+		<edge from-layer="724" from-port="1" to-layer="725" to-port="1" />
+		<edge from-layer="725" from-port="2" to-layer="727" to-port="0" />
+		<edge from-layer="726" from-port="0" to-layer="727" to-port="1" />
+		<edge from-layer="727" from-port="2" to-layer="728" to-port="1" />
+		<edge from-layer="728" from-port="2" to-layer="730" to-port="0" />
+		<edge from-layer="728" from-port="2" to-layer="752" to-port="0" />
+		<edge from-layer="729" from-port="0" to-layer="730" to-port="1" />
+		<edge from-layer="730" from-port="2" to-layer="732" to-port="0" />
+		<edge from-layer="731" from-port="0" to-layer="732" to-port="1" />
+		<edge from-layer="732" from-port="2" to-layer="734" to-port="0" />
+		<edge from-layer="733" from-port="0" to-layer="734" to-port="1" />
+		<edge from-layer="734" from-port="2" to-layer="740" to-port="0" />
+		<edge from-layer="735" from-port="0" to-layer="736" to-port="0" />
+		<edge from-layer="736" from-port="1" to-layer="738" to-port="0" />
+		<edge from-layer="737" from-port="0" to-layer="738" to-port="1" />
+		<edge from-layer="738" from-port="2" to-layer="739" to-port="0" />
+		<edge from-layer="739" from-port="1" to-layer="740" to-port="1" />
+		<edge from-layer="740" from-port="2" to-layer="742" to-port="0" />
+		<edge from-layer="741" from-port="0" to-layer="742" to-port="1" />
+		<edge from-layer="742" from-port="2" to-layer="743" to-port="0" />
+		<edge from-layer="743" from-port="1" to-layer="749" to-port="0" />
+		<edge from-layer="744" from-port="0" to-layer="745" to-port="0" />
+		<edge from-layer="745" from-port="1" to-layer="747" to-port="0" />
+		<edge from-layer="746" from-port="0" to-layer="747" to-port="1" />
+		<edge from-layer="747" from-port="2" to-layer="748" to-port="0" />
+		<edge from-layer="748" from-port="1" to-layer="749" to-port="1" />
+		<edge from-layer="749" from-port="2" to-layer="751" to-port="0" />
+		<edge from-layer="750" from-port="0" to-layer="751" to-port="1" />
+		<edge from-layer="751" from-port="2" to-layer="752" to-port="1" />
+		<edge from-layer="752" from-port="2" to-layer="792" to-port="0" />
+		<edge from-layer="752" from-port="2" to-layer="754" to-port="0" />
+		<edge from-layer="753" from-port="0" to-layer="754" to-port="1" />
+		<edge from-layer="754" from-port="2" to-layer="756" to-port="0" />
+		<edge from-layer="755" from-port="0" to-layer="756" to-port="1" />
+		<edge from-layer="756" from-port="2" to-layer="758" to-port="0" />
+		<edge from-layer="757" from-port="0" to-layer="758" to-port="1" />
+		<edge from-layer="758" from-port="2" to-layer="764" to-port="0" />
+		<edge from-layer="759" from-port="0" to-layer="760" to-port="0" />
+		<edge from-layer="760" from-port="1" to-layer="762" to-port="0" />
+		<edge from-layer="761" from-port="0" to-layer="762" to-port="1" />
+		<edge from-layer="762" from-port="2" to-layer="763" to-port="0" />
+		<edge from-layer="763" from-port="1" to-layer="764" to-port="1" />
+		<edge from-layer="764" from-port="2" to-layer="766" to-port="0" />
+		<edge from-layer="765" from-port="0" to-layer="766" to-port="1" />
+		<edge from-layer="766" from-port="2" to-layer="768" to-port="0" />
+		<edge from-layer="767" from-port="0" to-layer="768" to-port="1" />
+		<edge from-layer="768" from-port="2" to-layer="770" to-port="0" />
+		<edge from-layer="769" from-port="0" to-layer="770" to-port="1" />
+		<edge from-layer="770" from-port="2" to-layer="771" to-port="0" />
+		<edge from-layer="771" from-port="3" to-layer="775" to-port="0" />
+		<edge from-layer="771" from-port="4" to-layer="776" to-port="0" />
+		<edge from-layer="771" from-port="2" to-layer="772" to-port="0" />
+		<edge from-layer="772" from-port="2" to-layer="774" to-port="0" />
+		<edge from-layer="773" from-port="0" to-layer="774" to-port="1" />
+		<edge from-layer="774" from-port="2" to-layer="779" to-port="0" />
+		<edge from-layer="775" from-port="2" to-layer="779" to-port="1" />
+		<edge from-layer="776" from-port="2" to-layer="779" to-port="2" />
+		<edge from-layer="777" from-port="0" to-layer="779" to-port="3" />
+		<edge from-layer="778" from-port="0" to-layer="779" to-port="4" />
+		<edge from-layer="779" from-port="5" to-layer="781" to-port="0" />
+		<edge from-layer="780" from-port="0" to-layer="781" to-port="1" />
+		<edge from-layer="781" from-port="2" to-layer="783" to-port="0" />
+		<edge from-layer="782" from-port="0" to-layer="783" to-port="1" />
+		<edge from-layer="783" from-port="2" to-layer="789" to-port="0" />
+		<edge from-layer="784" from-port="0" to-layer="785" to-port="0" />
+		<edge from-layer="785" from-port="1" to-layer="787" to-port="0" />
+		<edge from-layer="786" from-port="0" to-layer="787" to-port="1" />
+		<edge from-layer="787" from-port="2" to-layer="788" to-port="0" />
+		<edge from-layer="788" from-port="1" to-layer="789" to-port="1" />
+		<edge from-layer="789" from-port="2" to-layer="791" to-port="0" />
+		<edge from-layer="790" from-port="0" to-layer="791" to-port="1" />
+		<edge from-layer="791" from-port="2" to-layer="792" to-port="1" />
+		<edge from-layer="792" from-port="2" to-layer="794" to-port="0" />
+		<edge from-layer="792" from-port="2" to-layer="816" to-port="0" />
+		<edge from-layer="793" from-port="0" to-layer="794" to-port="1" />
+		<edge from-layer="794" from-port="2" to-layer="796" to-port="0" />
+		<edge from-layer="795" from-port="0" to-layer="796" to-port="1" />
+		<edge from-layer="796" from-port="2" to-layer="798" to-port="0" />
+		<edge from-layer="797" from-port="0" to-layer="798" to-port="1" />
+		<edge from-layer="798" from-port="2" to-layer="804" to-port="0" />
+		<edge from-layer="799" from-port="0" to-layer="800" to-port="0" />
+		<edge from-layer="800" from-port="1" to-layer="802" to-port="0" />
+		<edge from-layer="801" from-port="0" to-layer="802" to-port="1" />
+		<edge from-layer="802" from-port="2" to-layer="803" to-port="0" />
+		<edge from-layer="803" from-port="1" to-layer="804" to-port="1" />
+		<edge from-layer="804" from-port="2" to-layer="806" to-port="0" />
+		<edge from-layer="805" from-port="0" to-layer="806" to-port="1" />
+		<edge from-layer="806" from-port="2" to-layer="807" to-port="0" />
+		<edge from-layer="807" from-port="1" to-layer="813" to-port="0" />
+		<edge from-layer="808" from-port="0" to-layer="809" to-port="0" />
+		<edge from-layer="809" from-port="1" to-layer="811" to-port="0" />
+		<edge from-layer="810" from-port="0" to-layer="811" to-port="1" />
+		<edge from-layer="811" from-port="2" to-layer="812" to-port="0" />
+		<edge from-layer="812" from-port="1" to-layer="813" to-port="1" />
+		<edge from-layer="813" from-port="2" to-layer="815" to-port="0" />
+		<edge from-layer="814" from-port="0" to-layer="815" to-port="1" />
+		<edge from-layer="815" from-port="2" to-layer="816" to-port="1" />
+		<edge from-layer="816" from-port="2" to-layer="856" to-port="0" />
+		<edge from-layer="816" from-port="2" to-layer="818" to-port="0" />
+		<edge from-layer="817" from-port="0" to-layer="818" to-port="1" />
+		<edge from-layer="818" from-port="2" to-layer="820" to-port="0" />
+		<edge from-layer="819" from-port="0" to-layer="820" to-port="1" />
+		<edge from-layer="820" from-port="2" to-layer="822" to-port="0" />
+		<edge from-layer="821" from-port="0" to-layer="822" to-port="1" />
+		<edge from-layer="822" from-port="2" to-layer="828" to-port="0" />
+		<edge from-layer="823" from-port="0" to-layer="824" to-port="0" />
+		<edge from-layer="824" from-port="1" to-layer="826" to-port="0" />
+		<edge from-layer="825" from-port="0" to-layer="826" to-port="1" />
+		<edge from-layer="826" from-port="2" to-layer="827" to-port="0" />
+		<edge from-layer="827" from-port="1" to-layer="828" to-port="1" />
+		<edge from-layer="828" from-port="2" to-layer="830" to-port="0" />
+		<edge from-layer="829" from-port="0" to-layer="830" to-port="1" />
+		<edge from-layer="830" from-port="2" to-layer="832" to-port="0" />
+		<edge from-layer="831" from-port="0" to-layer="832" to-port="1" />
+		<edge from-layer="832" from-port="2" to-layer="834" to-port="0" />
+		<edge from-layer="833" from-port="0" to-layer="834" to-port="1" />
+		<edge from-layer="834" from-port="2" to-layer="835" to-port="0" />
+		<edge from-layer="835" from-port="2" to-layer="836" to-port="0" />
+		<edge from-layer="835" from-port="3" to-layer="839" to-port="0" />
+		<edge from-layer="835" from-port="4" to-layer="840" to-port="0" />
+		<edge from-layer="836" from-port="2" to-layer="838" to-port="0" />
+		<edge from-layer="837" from-port="0" to-layer="838" to-port="1" />
+		<edge from-layer="838" from-port="2" to-layer="843" to-port="0" />
+		<edge from-layer="839" from-port="2" to-layer="843" to-port="1" />
+		<edge from-layer="840" from-port="2" to-layer="843" to-port="2" />
+		<edge from-layer="841" from-port="0" to-layer="843" to-port="3" />
+		<edge from-layer="842" from-port="0" to-layer="843" to-port="4" />
+		<edge from-layer="843" from-port="5" to-layer="845" to-port="0" />
+		<edge from-layer="844" from-port="0" to-layer="845" to-port="1" />
+		<edge from-layer="845" from-port="2" to-layer="847" to-port="0" />
+		<edge from-layer="846" from-port="0" to-layer="847" to-port="1" />
+		<edge from-layer="847" from-port="2" to-layer="853" to-port="0" />
+		<edge from-layer="848" from-port="0" to-layer="849" to-port="0" />
+		<edge from-layer="849" from-port="1" to-layer="851" to-port="0" />
+		<edge from-layer="850" from-port="0" to-layer="851" to-port="1" />
+		<edge from-layer="851" from-port="2" to-layer="852" to-port="0" />
+		<edge from-layer="852" from-port="1" to-layer="853" to-port="1" />
+		<edge from-layer="853" from-port="2" to-layer="855" to-port="0" />
+		<edge from-layer="854" from-port="0" to-layer="855" to-port="1" />
+		<edge from-layer="855" from-port="2" to-layer="856" to-port="1" />
+		<edge from-layer="856" from-port="2" to-layer="858" to-port="0" />
+		<edge from-layer="856" from-port="2" to-layer="880" to-port="0" />
+		<edge from-layer="857" from-port="0" to-layer="858" to-port="1" />
+		<edge from-layer="858" from-port="2" to-layer="860" to-port="0" />
+		<edge from-layer="859" from-port="0" to-layer="860" to-port="1" />
+		<edge from-layer="860" from-port="2" to-layer="862" to-port="0" />
+		<edge from-layer="861" from-port="0" to-layer="862" to-port="1" />
+		<edge from-layer="862" from-port="2" to-layer="868" to-port="0" />
+		<edge from-layer="863" from-port="0" to-layer="864" to-port="0" />
+		<edge from-layer="864" from-port="1" to-layer="866" to-port="0" />
+		<edge from-layer="865" from-port="0" to-layer="866" to-port="1" />
+		<edge from-layer="866" from-port="2" to-layer="867" to-port="0" />
+		<edge from-layer="867" from-port="1" to-layer="868" to-port="1" />
+		<edge from-layer="868" from-port="2" to-layer="870" to-port="0" />
+		<edge from-layer="869" from-port="0" to-layer="870" to-port="1" />
+		<edge from-layer="870" from-port="2" to-layer="871" to-port="0" />
+		<edge from-layer="871" from-port="1" to-layer="877" to-port="0" />
+		<edge from-layer="872" from-port="0" to-layer="873" to-port="0" />
+		<edge from-layer="873" from-port="1" to-layer="875" to-port="0" />
+		<edge from-layer="874" from-port="0" to-layer="875" to-port="1" />
+		<edge from-layer="875" from-port="2" to-layer="876" to-port="0" />
+		<edge from-layer="876" from-port="1" to-layer="877" to-port="1" />
+		<edge from-layer="877" from-port="2" to-layer="879" to-port="0" />
+		<edge from-layer="878" from-port="0" to-layer="879" to-port="1" />
+		<edge from-layer="879" from-port="2" to-layer="880" to-port="1" />
+		<edge from-layer="880" from-port="2" to-layer="920" to-port="0" />
+		<edge from-layer="880" from-port="2" to-layer="882" to-port="0" />
+		<edge from-layer="881" from-port="0" to-layer="882" to-port="1" />
+		<edge from-layer="882" from-port="2" to-layer="884" to-port="0" />
+		<edge from-layer="883" from-port="0" to-layer="884" to-port="1" />
+		<edge from-layer="884" from-port="2" to-layer="886" to-port="0" />
+		<edge from-layer="885" from-port="0" to-layer="886" to-port="1" />
+		<edge from-layer="886" from-port="2" to-layer="892" to-port="0" />
+		<edge from-layer="887" from-port="0" to-layer="888" to-port="0" />
+		<edge from-layer="888" from-port="1" to-layer="890" to-port="0" />
+		<edge from-layer="889" from-port="0" to-layer="890" to-port="1" />
+		<edge from-layer="890" from-port="2" to-layer="891" to-port="0" />
+		<edge from-layer="891" from-port="1" to-layer="892" to-port="1" />
+		<edge from-layer="892" from-port="2" to-layer="894" to-port="0" />
+		<edge from-layer="893" from-port="0" to-layer="894" to-port="1" />
+		<edge from-layer="894" from-port="2" to-layer="896" to-port="0" />
+		<edge from-layer="895" from-port="0" to-layer="896" to-port="1" />
+		<edge from-layer="896" from-port="2" to-layer="898" to-port="0" />
+		<edge from-layer="897" from-port="0" to-layer="898" to-port="1" />
+		<edge from-layer="898" from-port="2" to-layer="899" to-port="0" />
+		<edge from-layer="899" from-port="2" to-layer="900" to-port="0" />
+		<edge from-layer="899" from-port="3" to-layer="903" to-port="0" />
+		<edge from-layer="899" from-port="4" to-layer="904" to-port="0" />
+		<edge from-layer="900" from-port="2" to-layer="902" to-port="0" />
+		<edge from-layer="901" from-port="0" to-layer="902" to-port="1" />
+		<edge from-layer="902" from-port="2" to-layer="907" to-port="0" />
+		<edge from-layer="903" from-port="2" to-layer="907" to-port="1" />
+		<edge from-layer="904" from-port="2" to-layer="907" to-port="2" />
+		<edge from-layer="905" from-port="0" to-layer="907" to-port="3" />
+		<edge from-layer="906" from-port="0" to-layer="907" to-port="4" />
+		<edge from-layer="907" from-port="5" to-layer="909" to-port="0" />
+		<edge from-layer="908" from-port="0" to-layer="909" to-port="1" />
+		<edge from-layer="909" from-port="2" to-layer="911" to-port="0" />
+		<edge from-layer="910" from-port="0" to-layer="911" to-port="1" />
+		<edge from-layer="911" from-port="2" to-layer="917" to-port="0" />
+		<edge from-layer="912" from-port="0" to-layer="913" to-port="0" />
+		<edge from-layer="913" from-port="1" to-layer="915" to-port="0" />
+		<edge from-layer="914" from-port="0" to-layer="915" to-port="1" />
+		<edge from-layer="915" from-port="2" to-layer="916" to-port="0" />
+		<edge from-layer="916" from-port="1" to-layer="917" to-port="1" />
+		<edge from-layer="917" from-port="2" to-layer="919" to-port="0" />
+		<edge from-layer="918" from-port="0" to-layer="919" to-port="1" />
+		<edge from-layer="919" from-port="2" to-layer="920" to-port="1" />
+		<edge from-layer="920" from-port="2" to-layer="944" to-port="0" />
+		<edge from-layer="920" from-port="2" to-layer="922" to-port="0" />
+		<edge from-layer="921" from-port="0" to-layer="922" to-port="1" />
+		<edge from-layer="922" from-port="2" to-layer="924" to-port="0" />
+		<edge from-layer="923" from-port="0" to-layer="924" to-port="1" />
+		<edge from-layer="924" from-port="2" to-layer="926" to-port="0" />
+		<edge from-layer="925" from-port="0" to-layer="926" to-port="1" />
+		<edge from-layer="926" from-port="2" to-layer="932" to-port="0" />
+		<edge from-layer="927" from-port="0" to-layer="928" to-port="0" />
+		<edge from-layer="928" from-port="1" to-layer="930" to-port="0" />
+		<edge from-layer="929" from-port="0" to-layer="930" to-port="1" />
+		<edge from-layer="930" from-port="2" to-layer="931" to-port="0" />
+		<edge from-layer="931" from-port="1" to-layer="932" to-port="1" />
+		<edge from-layer="932" from-port="2" to-layer="934" to-port="0" />
+		<edge from-layer="933" from-port="0" to-layer="934" to-port="1" />
+		<edge from-layer="934" from-port="2" to-layer="935" to-port="0" />
+		<edge from-layer="935" from-port="1" to-layer="941" to-port="0" />
+		<edge from-layer="936" from-port="0" to-layer="937" to-port="0" />
+		<edge from-layer="937" from-port="1" to-layer="939" to-port="0" />
+		<edge from-layer="938" from-port="0" to-layer="939" to-port="1" />
+		<edge from-layer="939" from-port="2" to-layer="940" to-port="0" />
+		<edge from-layer="940" from-port="1" to-layer="941" to-port="1" />
+		<edge from-layer="941" from-port="2" to-layer="943" to-port="0" />
+		<edge from-layer="942" from-port="0" to-layer="943" to-port="1" />
+		<edge from-layer="943" from-port="2" to-layer="944" to-port="1" />
+		<edge from-layer="944" from-port="2" to-layer="946" to-port="0" />
+		<edge from-layer="944" from-port="2" to-layer="984" to-port="0" />
+		<edge from-layer="945" from-port="0" to-layer="946" to-port="1" />
+		<edge from-layer="946" from-port="2" to-layer="948" to-port="0" />
+		<edge from-layer="947" from-port="0" to-layer="948" to-port="1" />
+		<edge from-layer="948" from-port="2" to-layer="950" to-port="0" />
+		<edge from-layer="949" from-port="0" to-layer="950" to-port="1" />
+		<edge from-layer="950" from-port="2" to-layer="956" to-port="0" />
+		<edge from-layer="951" from-port="0" to-layer="952" to-port="0" />
+		<edge from-layer="952" from-port="1" to-layer="954" to-port="0" />
+		<edge from-layer="953" from-port="0" to-layer="954" to-port="1" />
+		<edge from-layer="954" from-port="2" to-layer="955" to-port="0" />
+		<edge from-layer="955" from-port="1" to-layer="956" to-port="1" />
+		<edge from-layer="956" from-port="2" to-layer="958" to-port="0" />
+		<edge from-layer="957" from-port="0" to-layer="958" to-port="1" />
+		<edge from-layer="958" from-port="2" to-layer="960" to-port="0" />
+		<edge from-layer="959" from-port="0" to-layer="960" to-port="1" />
+		<edge from-layer="960" from-port="2" to-layer="962" to-port="0" />
+		<edge from-layer="961" from-port="0" to-layer="962" to-port="1" />
+		<edge from-layer="962" from-port="2" to-layer="963" to-port="0" />
+		<edge from-layer="963" from-port="4" to-layer="968" to-port="0" />
+		<edge from-layer="963" from-port="2" to-layer="964" to-port="0" />
+		<edge from-layer="963" from-port="3" to-layer="967" to-port="0" />
+		<edge from-layer="964" from-port="2" to-layer="966" to-port="0" />
+		<edge from-layer="965" from-port="0" to-layer="966" to-port="1" />
+		<edge from-layer="966" from-port="2" to-layer="971" to-port="0" />
+		<edge from-layer="967" from-port="2" to-layer="971" to-port="1" />
+		<edge from-layer="968" from-port="2" to-layer="971" to-port="2" />
+		<edge from-layer="969" from-port="0" to-layer="971" to-port="3" />
+		<edge from-layer="970" from-port="0" to-layer="971" to-port="4" />
+		<edge from-layer="971" from-port="5" to-layer="973" to-port="0" />
+		<edge from-layer="972" from-port="0" to-layer="973" to-port="1" />
+		<edge from-layer="973" from-port="2" to-layer="975" to-port="0" />
+		<edge from-layer="974" from-port="0" to-layer="975" to-port="1" />
+		<edge from-layer="975" from-port="2" to-layer="981" to-port="0" />
+		<edge from-layer="976" from-port="0" to-layer="977" to-port="0" />
+		<edge from-layer="977" from-port="1" to-layer="979" to-port="0" />
+		<edge from-layer="978" from-port="0" to-layer="979" to-port="1" />
+		<edge from-layer="979" from-port="2" to-layer="980" to-port="0" />
+		<edge from-layer="980" from-port="1" to-layer="981" to-port="1" />
+		<edge from-layer="981" from-port="2" to-layer="983" to-port="0" />
+		<edge from-layer="982" from-port="0" to-layer="983" to-port="1" />
+		<edge from-layer="983" from-port="2" to-layer="984" to-port="1" />
+		<edge from-layer="984" from-port="2" to-layer="1008" to-port="0" />
+		<edge from-layer="984" from-port="2" to-layer="986" to-port="0" />
+		<edge from-layer="985" from-port="0" to-layer="986" to-port="1" />
+		<edge from-layer="986" from-port="2" to-layer="988" to-port="0" />
+		<edge from-layer="987" from-port="0" to-layer="988" to-port="1" />
+		<edge from-layer="988" from-port="2" to-layer="990" to-port="0" />
+		<edge from-layer="989" from-port="0" to-layer="990" to-port="1" />
+		<edge from-layer="990" from-port="2" to-layer="996" to-port="0" />
+		<edge from-layer="991" from-port="0" to-layer="992" to-port="0" />
+		<edge from-layer="992" from-port="1" to-layer="994" to-port="0" />
+		<edge from-layer="993" from-port="0" to-layer="994" to-port="1" />
+		<edge from-layer="994" from-port="2" to-layer="995" to-port="0" />
+		<edge from-layer="995" from-port="1" to-layer="996" to-port="1" />
+		<edge from-layer="996" from-port="2" to-layer="998" to-port="0" />
+		<edge from-layer="997" from-port="0" to-layer="998" to-port="1" />
+		<edge from-layer="998" from-port="2" to-layer="999" to-port="0" />
+		<edge from-layer="999" from-port="1" to-layer="1005" to-port="0" />
+		<edge from-layer="1000" from-port="0" to-layer="1001" to-port="0" />
+		<edge from-layer="1001" from-port="1" to-layer="1003" to-port="0" />
+		<edge from-layer="1002" from-port="0" to-layer="1003" to-port="1" />
+		<edge from-layer="1003" from-port="2" to-layer="1004" to-port="0" />
+		<edge from-layer="1004" from-port="1" to-layer="1005" to-port="1" />
+		<edge from-layer="1005" from-port="2" to-layer="1007" to-port="0" />
+		<edge from-layer="1006" from-port="0" to-layer="1007" to-port="1" />
+		<edge from-layer="1007" from-port="2" to-layer="1008" to-port="1" />
+		<edge from-layer="1008" from-port="2" to-layer="1048" to-port="0" />
+		<edge from-layer="1008" from-port="2" to-layer="1010" to-port="0" />
+		<edge from-layer="1009" from-port="0" to-layer="1010" to-port="1" />
+		<edge from-layer="1010" from-port="2" to-layer="1012" to-port="0" />
+		<edge from-layer="1011" from-port="0" to-layer="1012" to-port="1" />
+		<edge from-layer="1012" from-port="2" to-layer="1014" to-port="0" />
+		<edge from-layer="1013" from-port="0" to-layer="1014" to-port="1" />
+		<edge from-layer="1014" from-port="2" to-layer="1020" to-port="0" />
+		<edge from-layer="1015" from-port="0" to-layer="1016" to-port="0" />
+		<edge from-layer="1016" from-port="1" to-layer="1018" to-port="0" />
+		<edge from-layer="1017" from-port="0" to-layer="1018" to-port="1" />
+		<edge from-layer="1018" from-port="2" to-layer="1019" to-port="0" />
+		<edge from-layer="1019" from-port="1" to-layer="1020" to-port="1" />
+		<edge from-layer="1020" from-port="2" to-layer="1022" to-port="0" />
+		<edge from-layer="1021" from-port="0" to-layer="1022" to-port="1" />
+		<edge from-layer="1022" from-port="2" to-layer="1024" to-port="0" />
+		<edge from-layer="1023" from-port="0" to-layer="1024" to-port="1" />
+		<edge from-layer="1024" from-port="2" to-layer="1026" to-port="0" />
+		<edge from-layer="1025" from-port="0" to-layer="1026" to-port="1" />
+		<edge from-layer="1026" from-port="2" to-layer="1027" to-port="0" />
+		<edge from-layer="1027" from-port="3" to-layer="1031" to-port="0" />
+		<edge from-layer="1027" from-port="2" to-layer="1028" to-port="0" />
+		<edge from-layer="1027" from-port="4" to-layer="1032" to-port="0" />
+		<edge from-layer="1028" from-port="2" to-layer="1030" to-port="0" />
+		<edge from-layer="1029" from-port="0" to-layer="1030" to-port="1" />
+		<edge from-layer="1030" from-port="2" to-layer="1035" to-port="0" />
+		<edge from-layer="1031" from-port="2" to-layer="1035" to-port="1" />
+		<edge from-layer="1032" from-port="2" to-layer="1035" to-port="2" />
+		<edge from-layer="1033" from-port="0" to-layer="1035" to-port="3" />
+		<edge from-layer="1034" from-port="0" to-layer="1035" to-port="4" />
+		<edge from-layer="1035" from-port="5" to-layer="1037" to-port="0" />
+		<edge from-layer="1036" from-port="0" to-layer="1037" to-port="1" />
+		<edge from-layer="1037" from-port="2" to-layer="1039" to-port="0" />
+		<edge from-layer="1038" from-port="0" to-layer="1039" to-port="1" />
+		<edge from-layer="1039" from-port="2" to-layer="1045" to-port="0" />
+		<edge from-layer="1040" from-port="0" to-layer="1041" to-port="0" />
+		<edge from-layer="1041" from-port="1" to-layer="1043" to-port="0" />
+		<edge from-layer="1042" from-port="0" to-layer="1043" to-port="1" />
+		<edge from-layer="1043" from-port="2" to-layer="1044" to-port="0" />
+		<edge from-layer="1044" from-port="1" to-layer="1045" to-port="1" />
+		<edge from-layer="1045" from-port="2" to-layer="1047" to-port="0" />
+		<edge from-layer="1046" from-port="0" to-layer="1047" to-port="1" />
+		<edge from-layer="1047" from-port="2" to-layer="1048" to-port="1" />
+		<edge from-layer="1048" from-port="2" to-layer="1072" to-port="0" />
+		<edge from-layer="1048" from-port="2" to-layer="1050" to-port="0" />
+		<edge from-layer="1049" from-port="0" to-layer="1050" to-port="1" />
+		<edge from-layer="1050" from-port="2" to-layer="1052" to-port="0" />
+		<edge from-layer="1051" from-port="0" to-layer="1052" to-port="1" />
+		<edge from-layer="1052" from-port="2" to-layer="1054" to-port="0" />
+		<edge from-layer="1053" from-port="0" to-layer="1054" to-port="1" />
+		<edge from-layer="1054" from-port="2" to-layer="1060" to-port="0" />
+		<edge from-layer="1055" from-port="0" to-layer="1056" to-port="0" />
+		<edge from-layer="1056" from-port="1" to-layer="1058" to-port="0" />
+		<edge from-layer="1057" from-port="0" to-layer="1058" to-port="1" />
+		<edge from-layer="1058" from-port="2" to-layer="1059" to-port="0" />
+		<edge from-layer="1059" from-port="1" to-layer="1060" to-port="1" />
+		<edge from-layer="1060" from-port="2" to-layer="1062" to-port="0" />
+		<edge from-layer="1061" from-port="0" to-layer="1062" to-port="1" />
+		<edge from-layer="1062" from-port="2" to-layer="1063" to-port="0" />
+		<edge from-layer="1063" from-port="1" to-layer="1069" to-port="0" />
+		<edge from-layer="1064" from-port="0" to-layer="1065" to-port="0" />
+		<edge from-layer="1065" from-port="1" to-layer="1067" to-port="0" />
+		<edge from-layer="1066" from-port="0" to-layer="1067" to-port="1" />
+		<edge from-layer="1067" from-port="2" to-layer="1068" to-port="0" />
+		<edge from-layer="1068" from-port="1" to-layer="1069" to-port="1" />
+		<edge from-layer="1069" from-port="2" to-layer="1071" to-port="0" />
+		<edge from-layer="1070" from-port="0" to-layer="1071" to-port="1" />
+		<edge from-layer="1071" from-port="2" to-layer="1072" to-port="1" />
+		<edge from-layer="1072" from-port="2" to-layer="1112" to-port="0" />
+		<edge from-layer="1072" from-port="2" to-layer="1074" to-port="0" />
+		<edge from-layer="1073" from-port="0" to-layer="1074" to-port="1" />
+		<edge from-layer="1074" from-port="2" to-layer="1076" to-port="0" />
+		<edge from-layer="1075" from-port="0" to-layer="1076" to-port="1" />
+		<edge from-layer="1076" from-port="2" to-layer="1078" to-port="0" />
+		<edge from-layer="1077" from-port="0" to-layer="1078" to-port="1" />
+		<edge from-layer="1078" from-port="2" to-layer="1084" to-port="0" />
+		<edge from-layer="1079" from-port="0" to-layer="1080" to-port="0" />
+		<edge from-layer="1080" from-port="1" to-layer="1082" to-port="0" />
+		<edge from-layer="1081" from-port="0" to-layer="1082" to-port="1" />
+		<edge from-layer="1082" from-port="2" to-layer="1083" to-port="0" />
+		<edge from-layer="1083" from-port="1" to-layer="1084" to-port="1" />
+		<edge from-layer="1084" from-port="2" to-layer="1086" to-port="0" />
+		<edge from-layer="1085" from-port="0" to-layer="1086" to-port="1" />
+		<edge from-layer="1086" from-port="2" to-layer="1088" to-port="0" />
+		<edge from-layer="1087" from-port="0" to-layer="1088" to-port="1" />
+		<edge from-layer="1088" from-port="2" to-layer="1090" to-port="0" />
+		<edge from-layer="1089" from-port="0" to-layer="1090" to-port="1" />
+		<edge from-layer="1090" from-port="2" to-layer="1091" to-port="0" />
+		<edge from-layer="1091" from-port="4" to-layer="1096" to-port="0" />
+		<edge from-layer="1091" from-port="3" to-layer="1095" to-port="0" />
+		<edge from-layer="1091" from-port="2" to-layer="1092" to-port="0" />
+		<edge from-layer="1092" from-port="2" to-layer="1094" to-port="0" />
+		<edge from-layer="1093" from-port="0" to-layer="1094" to-port="1" />
+		<edge from-layer="1094" from-port="2" to-layer="1099" to-port="0" />
+		<edge from-layer="1095" from-port="2" to-layer="1099" to-port="1" />
+		<edge from-layer="1096" from-port="2" to-layer="1099" to-port="2" />
+		<edge from-layer="1097" from-port="0" to-layer="1099" to-port="3" />
+		<edge from-layer="1098" from-port="0" to-layer="1099" to-port="4" />
+		<edge from-layer="1099" from-port="5" to-layer="1101" to-port="0" />
+		<edge from-layer="1100" from-port="0" to-layer="1101" to-port="1" />
+		<edge from-layer="1101" from-port="2" to-layer="1103" to-port="0" />
+		<edge from-layer="1102" from-port="0" to-layer="1103" to-port="1" />
+		<edge from-layer="1103" from-port="2" to-layer="1109" to-port="0" />
+		<edge from-layer="1104" from-port="0" to-layer="1105" to-port="0" />
+		<edge from-layer="1105" from-port="1" to-layer="1107" to-port="0" />
+		<edge from-layer="1106" from-port="0" to-layer="1107" to-port="1" />
+		<edge from-layer="1107" from-port="2" to-layer="1108" to-port="0" />
+		<edge from-layer="1108" from-port="1" to-layer="1109" to-port="1" />
+		<edge from-layer="1109" from-port="2" to-layer="1111" to-port="0" />
+		<edge from-layer="1110" from-port="0" to-layer="1111" to-port="1" />
+		<edge from-layer="1111" from-port="2" to-layer="1112" to-port="1" />
+		<edge from-layer="1112" from-port="2" to-layer="1114" to-port="0" />
+		<edge from-layer="1112" from-port="2" to-layer="1136" to-port="0" />
+		<edge from-layer="1113" from-port="0" to-layer="1114" to-port="1" />
+		<edge from-layer="1114" from-port="2" to-layer="1116" to-port="0" />
+		<edge from-layer="1115" from-port="0" to-layer="1116" to-port="1" />
+		<edge from-layer="1116" from-port="2" to-layer="1118" to-port="0" />
+		<edge from-layer="1117" from-port="0" to-layer="1118" to-port="1" />
+		<edge from-layer="1118" from-port="2" to-layer="1124" to-port="0" />
+		<edge from-layer="1119" from-port="0" to-layer="1120" to-port="0" />
+		<edge from-layer="1120" from-port="1" to-layer="1122" to-port="0" />
+		<edge from-layer="1121" from-port="0" to-layer="1122" to-port="1" />
+		<edge from-layer="1122" from-port="2" to-layer="1123" to-port="0" />
+		<edge from-layer="1123" from-port="1" to-layer="1124" to-port="1" />
+		<edge from-layer="1124" from-port="2" to-layer="1126" to-port="0" />
+		<edge from-layer="1125" from-port="0" to-layer="1126" to-port="1" />
+		<edge from-layer="1126" from-port="2" to-layer="1127" to-port="0" />
+		<edge from-layer="1127" from-port="1" to-layer="1133" to-port="0" />
+		<edge from-layer="1128" from-port="0" to-layer="1129" to-port="0" />
+		<edge from-layer="1129" from-port="1" to-layer="1131" to-port="0" />
+		<edge from-layer="1130" from-port="0" to-layer="1131" to-port="1" />
+		<edge from-layer="1131" from-port="2" to-layer="1132" to-port="0" />
+		<edge from-layer="1132" from-port="1" to-layer="1133" to-port="1" />
+		<edge from-layer="1133" from-port="2" to-layer="1135" to-port="0" />
+		<edge from-layer="1134" from-port="0" to-layer="1135" to-port="1" />
+		<edge from-layer="1135" from-port="2" to-layer="1136" to-port="1" />
+		<edge from-layer="1136" from-port="2" to-layer="1176" to-port="0" />
+		<edge from-layer="1136" from-port="2" to-layer="1138" to-port="0" />
+		<edge from-layer="1137" from-port="0" to-layer="1138" to-port="1" />
+		<edge from-layer="1138" from-port="2" to-layer="1140" to-port="0" />
+		<edge from-layer="1139" from-port="0" to-layer="1140" to-port="1" />
+		<edge from-layer="1140" from-port="2" to-layer="1142" to-port="0" />
+		<edge from-layer="1141" from-port="0" to-layer="1142" to-port="1" />
+		<edge from-layer="1142" from-port="2" to-layer="1148" to-port="0" />
+		<edge from-layer="1143" from-port="0" to-layer="1144" to-port="0" />
+		<edge from-layer="1144" from-port="1" to-layer="1146" to-port="0" />
+		<edge from-layer="1145" from-port="0" to-layer="1146" to-port="1" />
+		<edge from-layer="1146" from-port="2" to-layer="1147" to-port="0" />
+		<edge from-layer="1147" from-port="1" to-layer="1148" to-port="1" />
+		<edge from-layer="1148" from-port="2" to-layer="1150" to-port="0" />
+		<edge from-layer="1149" from-port="0" to-layer="1150" to-port="1" />
+		<edge from-layer="1150" from-port="2" to-layer="1152" to-port="0" />
+		<edge from-layer="1151" from-port="0" to-layer="1152" to-port="1" />
+		<edge from-layer="1152" from-port="2" to-layer="1154" to-port="0" />
+		<edge from-layer="1153" from-port="0" to-layer="1154" to-port="1" />
+		<edge from-layer="1154" from-port="2" to-layer="1155" to-port="0" />
+		<edge from-layer="1155" from-port="4" to-layer="1160" to-port="0" />
+		<edge from-layer="1155" from-port="2" to-layer="1156" to-port="0" />
+		<edge from-layer="1155" from-port="3" to-layer="1159" to-port="0" />
+		<edge from-layer="1156" from-port="2" to-layer="1158" to-port="0" />
+		<edge from-layer="1157" from-port="0" to-layer="1158" to-port="1" />
+		<edge from-layer="1158" from-port="2" to-layer="1163" to-port="0" />
+		<edge from-layer="1159" from-port="2" to-layer="1163" to-port="1" />
+		<edge from-layer="1160" from-port="2" to-layer="1163" to-port="2" />
+		<edge from-layer="1161" from-port="0" to-layer="1163" to-port="3" />
+		<edge from-layer="1162" from-port="0" to-layer="1163" to-port="4" />
+		<edge from-layer="1163" from-port="5" to-layer="1165" to-port="0" />
+		<edge from-layer="1164" from-port="0" to-layer="1165" to-port="1" />
+		<edge from-layer="1165" from-port="2" to-layer="1167" to-port="0" />
+		<edge from-layer="1166" from-port="0" to-layer="1167" to-port="1" />
+		<edge from-layer="1167" from-port="2" to-layer="1173" to-port="0" />
+		<edge from-layer="1168" from-port="0" to-layer="1169" to-port="0" />
+		<edge from-layer="1169" from-port="1" to-layer="1171" to-port="0" />
+		<edge from-layer="1170" from-port="0" to-layer="1171" to-port="1" />
+		<edge from-layer="1171" from-port="2" to-layer="1172" to-port="0" />
+		<edge from-layer="1172" from-port="1" to-layer="1173" to-port="1" />
+		<edge from-layer="1173" from-port="2" to-layer="1175" to-port="0" />
+		<edge from-layer="1174" from-port="0" to-layer="1175" to-port="1" />
+		<edge from-layer="1175" from-port="2" to-layer="1176" to-port="1" />
+		<edge from-layer="1176" from-port="2" to-layer="1200" to-port="0" />
+		<edge from-layer="1176" from-port="2" to-layer="1178" to-port="0" />
+		<edge from-layer="1177" from-port="0" to-layer="1178" to-port="1" />
+		<edge from-layer="1178" from-port="2" to-layer="1180" to-port="0" />
+		<edge from-layer="1179" from-port="0" to-layer="1180" to-port="1" />
+		<edge from-layer="1180" from-port="2" to-layer="1182" to-port="0" />
+		<edge from-layer="1181" from-port="0" to-layer="1182" to-port="1" />
+		<edge from-layer="1182" from-port="2" to-layer="1188" to-port="0" />
+		<edge from-layer="1183" from-port="0" to-layer="1184" to-port="0" />
+		<edge from-layer="1184" from-port="1" to-layer="1186" to-port="0" />
+		<edge from-layer="1185" from-port="0" to-layer="1186" to-port="1" />
+		<edge from-layer="1186" from-port="2" to-layer="1187" to-port="0" />
+		<edge from-layer="1187" from-port="1" to-layer="1188" to-port="1" />
+		<edge from-layer="1188" from-port="2" to-layer="1190" to-port="0" />
+		<edge from-layer="1189" from-port="0" to-layer="1190" to-port="1" />
+		<edge from-layer="1190" from-port="2" to-layer="1191" to-port="0" />
+		<edge from-layer="1191" from-port="1" to-layer="1197" to-port="0" />
+		<edge from-layer="1192" from-port="0" to-layer="1193" to-port="0" />
+		<edge from-layer="1193" from-port="1" to-layer="1195" to-port="0" />
+		<edge from-layer="1194" from-port="0" to-layer="1195" to-port="1" />
+		<edge from-layer="1195" from-port="2" to-layer="1196" to-port="0" />
+		<edge from-layer="1196" from-port="1" to-layer="1197" to-port="1" />
+		<edge from-layer="1197" from-port="2" to-layer="1199" to-port="0" />
+		<edge from-layer="1198" from-port="0" to-layer="1199" to-port="1" />
+		<edge from-layer="1199" from-port="2" to-layer="1200" to-port="1" />
+		<edge from-layer="1200" from-port="2" to-layer="1202" to-port="0" />
+		<edge from-layer="1200" from-port="2" to-layer="1240" to-port="0" />
+		<edge from-layer="1201" from-port="0" to-layer="1202" to-port="1" />
+		<edge from-layer="1202" from-port="2" to-layer="1204" to-port="0" />
+		<edge from-layer="1203" from-port="0" to-layer="1204" to-port="1" />
+		<edge from-layer="1204" from-port="2" to-layer="1206" to-port="0" />
+		<edge from-layer="1205" from-port="0" to-layer="1206" to-port="1" />
+		<edge from-layer="1206" from-port="2" to-layer="1212" to-port="0" />
+		<edge from-layer="1207" from-port="0" to-layer="1208" to-port="0" />
+		<edge from-layer="1208" from-port="1" to-layer="1210" to-port="0" />
+		<edge from-layer="1209" from-port="0" to-layer="1210" to-port="1" />
+		<edge from-layer="1210" from-port="2" to-layer="1211" to-port="0" />
+		<edge from-layer="1211" from-port="1" to-layer="1212" to-port="1" />
+		<edge from-layer="1212" from-port="2" to-layer="1214" to-port="0" />
+		<edge from-layer="1213" from-port="0" to-layer="1214" to-port="1" />
+		<edge from-layer="1214" from-port="2" to-layer="1216" to-port="0" />
+		<edge from-layer="1215" from-port="0" to-layer="1216" to-port="1" />
+		<edge from-layer="1216" from-port="2" to-layer="1218" to-port="0" />
+		<edge from-layer="1217" from-port="0" to-layer="1218" to-port="1" />
+		<edge from-layer="1218" from-port="2" to-layer="1219" to-port="0" />
+		<edge from-layer="1219" from-port="4" to-layer="1224" to-port="0" />
+		<edge from-layer="1219" from-port="3" to-layer="1223" to-port="0" />
+		<edge from-layer="1219" from-port="2" to-layer="1220" to-port="0" />
+		<edge from-layer="1220" from-port="2" to-layer="1222" to-port="0" />
+		<edge from-layer="1221" from-port="0" to-layer="1222" to-port="1" />
+		<edge from-layer="1222" from-port="2" to-layer="1227" to-port="0" />
+		<edge from-layer="1223" from-port="2" to-layer="1227" to-port="1" />
+		<edge from-layer="1224" from-port="2" to-layer="1227" to-port="2" />
+		<edge from-layer="1225" from-port="0" to-layer="1227" to-port="3" />
+		<edge from-layer="1226" from-port="0" to-layer="1227" to-port="4" />
+		<edge from-layer="1227" from-port="5" to-layer="1229" to-port="0" />
+		<edge from-layer="1228" from-port="0" to-layer="1229" to-port="1" />
+		<edge from-layer="1229" from-port="2" to-layer="1231" to-port="0" />
+		<edge from-layer="1230" from-port="0" to-layer="1231" to-port="1" />
+		<edge from-layer="1231" from-port="2" to-layer="1237" to-port="0" />
+		<edge from-layer="1232" from-port="0" to-layer="1233" to-port="0" />
+		<edge from-layer="1233" from-port="1" to-layer="1235" to-port="0" />
+		<edge from-layer="1234" from-port="0" to-layer="1235" to-port="1" />
+		<edge from-layer="1235" from-port="2" to-layer="1236" to-port="0" />
+		<edge from-layer="1236" from-port="1" to-layer="1237" to-port="1" />
+		<edge from-layer="1237" from-port="2" to-layer="1239" to-port="0" />
+		<edge from-layer="1238" from-port="0" to-layer="1239" to-port="1" />
+		<edge from-layer="1239" from-port="2" to-layer="1240" to-port="1" />
+		<edge from-layer="1240" from-port="2" to-layer="1264" to-port="0" />
+		<edge from-layer="1240" from-port="2" to-layer="1242" to-port="0" />
+		<edge from-layer="1241" from-port="0" to-layer="1242" to-port="1" />
+		<edge from-layer="1242" from-port="2" to-layer="1244" to-port="0" />
+		<edge from-layer="1243" from-port="0" to-layer="1244" to-port="1" />
+		<edge from-layer="1244" from-port="2" to-layer="1246" to-port="0" />
+		<edge from-layer="1245" from-port="0" to-layer="1246" to-port="1" />
+		<edge from-layer="1246" from-port="2" to-layer="1252" to-port="0" />
+		<edge from-layer="1247" from-port="0" to-layer="1248" to-port="0" />
+		<edge from-layer="1248" from-port="1" to-layer="1250" to-port="0" />
+		<edge from-layer="1249" from-port="0" to-layer="1250" to-port="1" />
+		<edge from-layer="1250" from-port="2" to-layer="1251" to-port="0" />
+		<edge from-layer="1251" from-port="1" to-layer="1252" to-port="1" />
+		<edge from-layer="1252" from-port="2" to-layer="1254" to-port="0" />
+		<edge from-layer="1253" from-port="0" to-layer="1254" to-port="1" />
+		<edge from-layer="1254" from-port="2" to-layer="1255" to-port="0" />
+		<edge from-layer="1255" from-port="1" to-layer="1261" to-port="0" />
+		<edge from-layer="1256" from-port="0" to-layer="1257" to-port="0" />
+		<edge from-layer="1257" from-port="1" to-layer="1259" to-port="0" />
+		<edge from-layer="1258" from-port="0" to-layer="1259" to-port="1" />
+		<edge from-layer="1259" from-port="2" to-layer="1260" to-port="0" />
+		<edge from-layer="1260" from-port="1" to-layer="1261" to-port="1" />
+		<edge from-layer="1261" from-port="2" to-layer="1263" to-port="0" />
+		<edge from-layer="1262" from-port="0" to-layer="1263" to-port="1" />
+		<edge from-layer="1263" from-port="2" to-layer="1264" to-port="1" />
+		<edge from-layer="1264" from-port="2" to-layer="1266" to-port="0" />
+		<edge from-layer="1264" from-port="2" to-layer="1304" to-port="0" />
+		<edge from-layer="1265" from-port="0" to-layer="1266" to-port="1" />
+		<edge from-layer="1266" from-port="2" to-layer="1268" to-port="0" />
+		<edge from-layer="1267" from-port="0" to-layer="1268" to-port="1" />
+		<edge from-layer="1268" from-port="2" to-layer="1270" to-port="0" />
+		<edge from-layer="1269" from-port="0" to-layer="1270" to-port="1" />
+		<edge from-layer="1270" from-port="2" to-layer="1276" to-port="0" />
+		<edge from-layer="1271" from-port="0" to-layer="1272" to-port="0" />
+		<edge from-layer="1272" from-port="1" to-layer="1274" to-port="0" />
+		<edge from-layer="1273" from-port="0" to-layer="1274" to-port="1" />
+		<edge from-layer="1274" from-port="2" to-layer="1275" to-port="0" />
+		<edge from-layer="1275" from-port="1" to-layer="1276" to-port="1" />
+		<edge from-layer="1276" from-port="2" to-layer="1278" to-port="0" />
+		<edge from-layer="1277" from-port="0" to-layer="1278" to-port="1" />
+		<edge from-layer="1278" from-port="2" to-layer="1280" to-port="0" />
+		<edge from-layer="1279" from-port="0" to-layer="1280" to-port="1" />
+		<edge from-layer="1280" from-port="2" to-layer="1282" to-port="0" />
+		<edge from-layer="1281" from-port="0" to-layer="1282" to-port="1" />
+		<edge from-layer="1282" from-port="2" to-layer="1283" to-port="0" />
+		<edge from-layer="1283" from-port="2" to-layer="1284" to-port="0" />
+		<edge from-layer="1283" from-port="3" to-layer="1287" to-port="0" />
+		<edge from-layer="1283" from-port="4" to-layer="1288" to-port="0" />
+		<edge from-layer="1284" from-port="2" to-layer="1286" to-port="0" />
+		<edge from-layer="1285" from-port="0" to-layer="1286" to-port="1" />
+		<edge from-layer="1286" from-port="2" to-layer="1291" to-port="0" />
+		<edge from-layer="1287" from-port="2" to-layer="1291" to-port="1" />
+		<edge from-layer="1288" from-port="2" to-layer="1291" to-port="2" />
+		<edge from-layer="1289" from-port="0" to-layer="1291" to-port="3" />
+		<edge from-layer="1290" from-port="0" to-layer="1291" to-port="4" />
+		<edge from-layer="1291" from-port="5" to-layer="1293" to-port="0" />
+		<edge from-layer="1292" from-port="0" to-layer="1293" to-port="1" />
+		<edge from-layer="1293" from-port="2" to-layer="1295" to-port="0" />
+		<edge from-layer="1294" from-port="0" to-layer="1295" to-port="1" />
+		<edge from-layer="1295" from-port="2" to-layer="1301" to-port="0" />
+		<edge from-layer="1296" from-port="0" to-layer="1297" to-port="0" />
+		<edge from-layer="1297" from-port="1" to-layer="1299" to-port="0" />
+		<edge from-layer="1298" from-port="0" to-layer="1299" to-port="1" />
+		<edge from-layer="1299" from-port="2" to-layer="1300" to-port="0" />
+		<edge from-layer="1300" from-port="1" to-layer="1301" to-port="1" />
+		<edge from-layer="1301" from-port="2" to-layer="1303" to-port="0" />
+		<edge from-layer="1302" from-port="0" to-layer="1303" to-port="1" />
+		<edge from-layer="1303" from-port="2" to-layer="1304" to-port="1" />
+		<edge from-layer="1304" from-port="2" to-layer="1306" to-port="0" />
+		<edge from-layer="1304" from-port="2" to-layer="1328" to-port="0" />
+		<edge from-layer="1305" from-port="0" to-layer="1306" to-port="1" />
+		<edge from-layer="1306" from-port="2" to-layer="1308" to-port="0" />
+		<edge from-layer="1307" from-port="0" to-layer="1308" to-port="1" />
+		<edge from-layer="1308" from-port="2" to-layer="1310" to-port="0" />
+		<edge from-layer="1309" from-port="0" to-layer="1310" to-port="1" />
+		<edge from-layer="1310" from-port="2" to-layer="1316" to-port="0" />
+		<edge from-layer="1311" from-port="0" to-layer="1312" to-port="0" />
+		<edge from-layer="1312" from-port="1" to-layer="1314" to-port="0" />
+		<edge from-layer="1313" from-port="0" to-layer="1314" to-port="1" />
+		<edge from-layer="1314" from-port="2" to-layer="1315" to-port="0" />
+		<edge from-layer="1315" from-port="1" to-layer="1316" to-port="1" />
+		<edge from-layer="1316" from-port="2" to-layer="1318" to-port="0" />
+		<edge from-layer="1317" from-port="0" to-layer="1318" to-port="1" />
+		<edge from-layer="1318" from-port="2" to-layer="1319" to-port="0" />
+		<edge from-layer="1319" from-port="1" to-layer="1325" to-port="0" />
+		<edge from-layer="1320" from-port="0" to-layer="1321" to-port="0" />
+		<edge from-layer="1321" from-port="1" to-layer="1323" to-port="0" />
+		<edge from-layer="1322" from-port="0" to-layer="1323" to-port="1" />
+		<edge from-layer="1323" from-port="2" to-layer="1324" to-port="0" />
+		<edge from-layer="1324" from-port="1" to-layer="1325" to-port="1" />
+		<edge from-layer="1325" from-port="2" to-layer="1327" to-port="0" />
+		<edge from-layer="1326" from-port="0" to-layer="1327" to-port="1" />
+		<edge from-layer="1327" from-port="2" to-layer="1328" to-port="1" />
+		<edge from-layer="1328" from-port="2" to-layer="1330" to-port="0" />
+		<edge from-layer="1328" from-port="2" to-layer="1368" to-port="0" />
+		<edge from-layer="1329" from-port="0" to-layer="1330" to-port="1" />
+		<edge from-layer="1330" from-port="2" to-layer="1332" to-port="0" />
+		<edge from-layer="1331" from-port="0" to-layer="1332" to-port="1" />
+		<edge from-layer="1332" from-port="2" to-layer="1334" to-port="0" />
+		<edge from-layer="1333" from-port="0" to-layer="1334" to-port="1" />
+		<edge from-layer="1334" from-port="2" to-layer="1340" to-port="0" />
+		<edge from-layer="1335" from-port="0" to-layer="1336" to-port="0" />
+		<edge from-layer="1336" from-port="1" to-layer="1338" to-port="0" />
+		<edge from-layer="1337" from-port="0" to-layer="1338" to-port="1" />
+		<edge from-layer="1338" from-port="2" to-layer="1339" to-port="0" />
+		<edge from-layer="1339" from-port="1" to-layer="1340" to-port="1" />
+		<edge from-layer="1340" from-port="2" to-layer="1342" to-port="0" />
+		<edge from-layer="1341" from-port="0" to-layer="1342" to-port="1" />
+		<edge from-layer="1342" from-port="2" to-layer="1344" to-port="0" />
+		<edge from-layer="1343" from-port="0" to-layer="1344" to-port="1" />
+		<edge from-layer="1344" from-port="2" to-layer="1346" to-port="0" />
+		<edge from-layer="1345" from-port="0" to-layer="1346" to-port="1" />
+		<edge from-layer="1346" from-port="2" to-layer="1347" to-port="0" />
+		<edge from-layer="1347" from-port="4" to-layer="1352" to-port="0" />
+		<edge from-layer="1347" from-port="3" to-layer="1351" to-port="0" />
+		<edge from-layer="1347" from-port="2" to-layer="1348" to-port="0" />
+		<edge from-layer="1348" from-port="2" to-layer="1350" to-port="0" />
+		<edge from-layer="1349" from-port="0" to-layer="1350" to-port="1" />
+		<edge from-layer="1350" from-port="2" to-layer="1355" to-port="0" />
+		<edge from-layer="1351" from-port="2" to-layer="1355" to-port="1" />
+		<edge from-layer="1352" from-port="2" to-layer="1355" to-port="2" />
+		<edge from-layer="1353" from-port="0" to-layer="1355" to-port="3" />
+		<edge from-layer="1354" from-port="0" to-layer="1355" to-port="4" />
+		<edge from-layer="1355" from-port="5" to-layer="1357" to-port="0" />
+		<edge from-layer="1356" from-port="0" to-layer="1357" to-port="1" />
+		<edge from-layer="1357" from-port="2" to-layer="1359" to-port="0" />
+		<edge from-layer="1358" from-port="0" to-layer="1359" to-port="1" />
+		<edge from-layer="1359" from-port="2" to-layer="1365" to-port="0" />
+		<edge from-layer="1360" from-port="0" to-layer="1361" to-port="0" />
+		<edge from-layer="1361" from-port="1" to-layer="1363" to-port="0" />
+		<edge from-layer="1362" from-port="0" to-layer="1363" to-port="1" />
+		<edge from-layer="1363" from-port="2" to-layer="1364" to-port="0" />
+		<edge from-layer="1364" from-port="1" to-layer="1365" to-port="1" />
+		<edge from-layer="1365" from-port="2" to-layer="1367" to-port="0" />
+		<edge from-layer="1366" from-port="0" to-layer="1367" to-port="1" />
+		<edge from-layer="1367" from-port="2" to-layer="1368" to-port="1" />
+		<edge from-layer="1368" from-port="2" to-layer="1392" to-port="0" />
+		<edge from-layer="1368" from-port="2" to-layer="1370" to-port="0" />
+		<edge from-layer="1369" from-port="0" to-layer="1370" to-port="1" />
+		<edge from-layer="1370" from-port="2" to-layer="1372" to-port="0" />
+		<edge from-layer="1371" from-port="0" to-layer="1372" to-port="1" />
+		<edge from-layer="1372" from-port="2" to-layer="1374" to-port="0" />
+		<edge from-layer="1373" from-port="0" to-layer="1374" to-port="1" />
+		<edge from-layer="1374" from-port="2" to-layer="1380" to-port="0" />
+		<edge from-layer="1375" from-port="0" to-layer="1376" to-port="0" />
+		<edge from-layer="1376" from-port="1" to-layer="1378" to-port="0" />
+		<edge from-layer="1377" from-port="0" to-layer="1378" to-port="1" />
+		<edge from-layer="1378" from-port="2" to-layer="1379" to-port="0" />
+		<edge from-layer="1379" from-port="1" to-layer="1380" to-port="1" />
+		<edge from-layer="1380" from-port="2" to-layer="1382" to-port="0" />
+		<edge from-layer="1381" from-port="0" to-layer="1382" to-port="1" />
+		<edge from-layer="1382" from-port="2" to-layer="1383" to-port="0" />
+		<edge from-layer="1383" from-port="1" to-layer="1389" to-port="0" />
+		<edge from-layer="1384" from-port="0" to-layer="1385" to-port="0" />
+		<edge from-layer="1385" from-port="1" to-layer="1387" to-port="0" />
+		<edge from-layer="1386" from-port="0" to-layer="1387" to-port="1" />
+		<edge from-layer="1387" from-port="2" to-layer="1388" to-port="0" />
+		<edge from-layer="1388" from-port="1" to-layer="1389" to-port="1" />
+		<edge from-layer="1389" from-port="2" to-layer="1391" to-port="0" />
+		<edge from-layer="1390" from-port="0" to-layer="1391" to-port="1" />
+		<edge from-layer="1391" from-port="2" to-layer="1392" to-port="1" />
+		<edge from-layer="1392" from-port="2" to-layer="1432" to-port="0" />
+		<edge from-layer="1392" from-port="2" to-layer="1394" to-port="0" />
+		<edge from-layer="1393" from-port="0" to-layer="1394" to-port="1" />
+		<edge from-layer="1394" from-port="2" to-layer="1396" to-port="0" />
+		<edge from-layer="1395" from-port="0" to-layer="1396" to-port="1" />
+		<edge from-layer="1396" from-port="2" to-layer="1398" to-port="0" />
+		<edge from-layer="1397" from-port="0" to-layer="1398" to-port="1" />
+		<edge from-layer="1398" from-port="2" to-layer="1404" to-port="0" />
+		<edge from-layer="1399" from-port="0" to-layer="1400" to-port="0" />
+		<edge from-layer="1400" from-port="1" to-layer="1402" to-port="0" />
+		<edge from-layer="1401" from-port="0" to-layer="1402" to-port="1" />
+		<edge from-layer="1402" from-port="2" to-layer="1403" to-port="0" />
+		<edge from-layer="1403" from-port="1" to-layer="1404" to-port="1" />
+		<edge from-layer="1404" from-port="2" to-layer="1406" to-port="0" />
+		<edge from-layer="1405" from-port="0" to-layer="1406" to-port="1" />
+		<edge from-layer="1406" from-port="2" to-layer="1408" to-port="0" />
+		<edge from-layer="1407" from-port="0" to-layer="1408" to-port="1" />
+		<edge from-layer="1408" from-port="2" to-layer="1410" to-port="0" />
+		<edge from-layer="1409" from-port="0" to-layer="1410" to-port="1" />
+		<edge from-layer="1410" from-port="2" to-layer="1411" to-port="0" />
+		<edge from-layer="1411" from-port="4" to-layer="1416" to-port="0" />
+		<edge from-layer="1411" from-port="3" to-layer="1415" to-port="0" />
+		<edge from-layer="1411" from-port="2" to-layer="1412" to-port="0" />
+		<edge from-layer="1412" from-port="2" to-layer="1414" to-port="0" />
+		<edge from-layer="1413" from-port="0" to-layer="1414" to-port="1" />
+		<edge from-layer="1414" from-port="2" to-layer="1419" to-port="0" />
+		<edge from-layer="1415" from-port="2" to-layer="1419" to-port="1" />
+		<edge from-layer="1416" from-port="2" to-layer="1419" to-port="2" />
+		<edge from-layer="1417" from-port="0" to-layer="1419" to-port="3" />
+		<edge from-layer="1418" from-port="0" to-layer="1419" to-port="4" />
+		<edge from-layer="1419" from-port="5" to-layer="1421" to-port="0" />
+		<edge from-layer="1420" from-port="0" to-layer="1421" to-port="1" />
+		<edge from-layer="1421" from-port="2" to-layer="1423" to-port="0" />
+		<edge from-layer="1422" from-port="0" to-layer="1423" to-port="1" />
+		<edge from-layer="1423" from-port="2" to-layer="1429" to-port="0" />
+		<edge from-layer="1424" from-port="0" to-layer="1425" to-port="0" />
+		<edge from-layer="1425" from-port="1" to-layer="1427" to-port="0" />
+		<edge from-layer="1426" from-port="0" to-layer="1427" to-port="1" />
+		<edge from-layer="1427" from-port="2" to-layer="1428" to-port="0" />
+		<edge from-layer="1428" from-port="1" to-layer="1429" to-port="1" />
+		<edge from-layer="1429" from-port="2" to-layer="1431" to-port="0" />
+		<edge from-layer="1430" from-port="0" to-layer="1431" to-port="1" />
+		<edge from-layer="1431" from-port="2" to-layer="1432" to-port="1" />
+		<edge from-layer="1432" from-port="2" to-layer="1456" to-port="0" />
+		<edge from-layer="1432" from-port="2" to-layer="1434" to-port="0" />
+		<edge from-layer="1433" from-port="0" to-layer="1434" to-port="1" />
+		<edge from-layer="1434" from-port="2" to-layer="1436" to-port="0" />
+		<edge from-layer="1435" from-port="0" to-layer="1436" to-port="1" />
+		<edge from-layer="1436" from-port="2" to-layer="1438" to-port="0" />
+		<edge from-layer="1437" from-port="0" to-layer="1438" to-port="1" />
+		<edge from-layer="1438" from-port="2" to-layer="1444" to-port="0" />
+		<edge from-layer="1439" from-port="0" to-layer="1440" to-port="0" />
+		<edge from-layer="1440" from-port="1" to-layer="1442" to-port="0" />
+		<edge from-layer="1441" from-port="0" to-layer="1442" to-port="1" />
+		<edge from-layer="1442" from-port="2" to-layer="1443" to-port="0" />
+		<edge from-layer="1443" from-port="1" to-layer="1444" to-port="1" />
+		<edge from-layer="1444" from-port="2" to-layer="1446" to-port="0" />
+		<edge from-layer="1445" from-port="0" to-layer="1446" to-port="1" />
+		<edge from-layer="1446" from-port="2" to-layer="1447" to-port="0" />
+		<edge from-layer="1447" from-port="1" to-layer="1453" to-port="0" />
+		<edge from-layer="1448" from-port="0" to-layer="1449" to-port="0" />
+		<edge from-layer="1449" from-port="1" to-layer="1451" to-port="0" />
+		<edge from-layer="1450" from-port="0" to-layer="1451" to-port="1" />
+		<edge from-layer="1451" from-port="2" to-layer="1452" to-port="0" />
+		<edge from-layer="1452" from-port="1" to-layer="1453" to-port="1" />
+		<edge from-layer="1453" from-port="2" to-layer="1455" to-port="0" />
+		<edge from-layer="1454" from-port="0" to-layer="1455" to-port="1" />
+		<edge from-layer="1455" from-port="2" to-layer="1456" to-port="1" />
+		<edge from-layer="1456" from-port="2" to-layer="1496" to-port="0" />
+		<edge from-layer="1456" from-port="2" to-layer="1458" to-port="0" />
+		<edge from-layer="1457" from-port="0" to-layer="1458" to-port="1" />
+		<edge from-layer="1458" from-port="2" to-layer="1460" to-port="0" />
+		<edge from-layer="1459" from-port="0" to-layer="1460" to-port="1" />
+		<edge from-layer="1460" from-port="2" to-layer="1462" to-port="0" />
+		<edge from-layer="1461" from-port="0" to-layer="1462" to-port="1" />
+		<edge from-layer="1462" from-port="2" to-layer="1468" to-port="0" />
+		<edge from-layer="1463" from-port="0" to-layer="1464" to-port="0" />
+		<edge from-layer="1464" from-port="1" to-layer="1466" to-port="0" />
+		<edge from-layer="1465" from-port="0" to-layer="1466" to-port="1" />
+		<edge from-layer="1466" from-port="2" to-layer="1467" to-port="0" />
+		<edge from-layer="1467" from-port="1" to-layer="1468" to-port="1" />
+		<edge from-layer="1468" from-port="2" to-layer="1470" to-port="0" />
+		<edge from-layer="1469" from-port="0" to-layer="1470" to-port="1" />
+		<edge from-layer="1470" from-port="2" to-layer="1472" to-port="0" />
+		<edge from-layer="1471" from-port="0" to-layer="1472" to-port="1" />
+		<edge from-layer="1472" from-port="2" to-layer="1474" to-port="0" />
+		<edge from-layer="1473" from-port="0" to-layer="1474" to-port="1" />
+		<edge from-layer="1474" from-port="2" to-layer="1475" to-port="0" />
+		<edge from-layer="1475" from-port="3" to-layer="1479" to-port="0" />
+		<edge from-layer="1475" from-port="4" to-layer="1480" to-port="0" />
+		<edge from-layer="1475" from-port="2" to-layer="1476" to-port="0" />
+		<edge from-layer="1476" from-port="2" to-layer="1478" to-port="0" />
+		<edge from-layer="1477" from-port="0" to-layer="1478" to-port="1" />
+		<edge from-layer="1478" from-port="2" to-layer="1483" to-port="0" />
+		<edge from-layer="1479" from-port="2" to-layer="1483" to-port="1" />
+		<edge from-layer="1480" from-port="2" to-layer="1483" to-port="2" />
+		<edge from-layer="1481" from-port="0" to-layer="1483" to-port="3" />
+		<edge from-layer="1482" from-port="0" to-layer="1483" to-port="4" />
+		<edge from-layer="1483" from-port="5" to-layer="1485" to-port="0" />
+		<edge from-layer="1484" from-port="0" to-layer="1485" to-port="1" />
+		<edge from-layer="1485" from-port="2" to-layer="1487" to-port="0" />
+		<edge from-layer="1486" from-port="0" to-layer="1487" to-port="1" />
+		<edge from-layer="1487" from-port="2" to-layer="1493" to-port="0" />
+		<edge from-layer="1488" from-port="0" to-layer="1489" to-port="0" />
+		<edge from-layer="1489" from-port="1" to-layer="1491" to-port="0" />
+		<edge from-layer="1490" from-port="0" to-layer="1491" to-port="1" />
+		<edge from-layer="1491" from-port="2" to-layer="1492" to-port="0" />
+		<edge from-layer="1492" from-port="1" to-layer="1493" to-port="1" />
+		<edge from-layer="1493" from-port="2" to-layer="1495" to-port="0" />
+		<edge from-layer="1494" from-port="0" to-layer="1495" to-port="1" />
+		<edge from-layer="1495" from-port="2" to-layer="1496" to-port="1" />
+		<edge from-layer="1496" from-port="2" to-layer="1498" to-port="0" />
+		<edge from-layer="1496" from-port="2" to-layer="1520" to-port="0" />
+		<edge from-layer="1497" from-port="0" to-layer="1498" to-port="1" />
+		<edge from-layer="1498" from-port="2" to-layer="1500" to-port="0" />
+		<edge from-layer="1499" from-port="0" to-layer="1500" to-port="1" />
+		<edge from-layer="1500" from-port="2" to-layer="1502" to-port="0" />
+		<edge from-layer="1501" from-port="0" to-layer="1502" to-port="1" />
+		<edge from-layer="1502" from-port="2" to-layer="1508" to-port="0" />
+		<edge from-layer="1503" from-port="0" to-layer="1504" to-port="0" />
+		<edge from-layer="1504" from-port="1" to-layer="1506" to-port="0" />
+		<edge from-layer="1505" from-port="0" to-layer="1506" to-port="1" />
+		<edge from-layer="1506" from-port="2" to-layer="1507" to-port="0" />
+		<edge from-layer="1507" from-port="1" to-layer="1508" to-port="1" />
+		<edge from-layer="1508" from-port="2" to-layer="1510" to-port="0" />
+		<edge from-layer="1509" from-port="0" to-layer="1510" to-port="1" />
+		<edge from-layer="1510" from-port="2" to-layer="1511" to-port="0" />
+		<edge from-layer="1511" from-port="1" to-layer="1517" to-port="0" />
+		<edge from-layer="1512" from-port="0" to-layer="1513" to-port="0" />
+		<edge from-layer="1513" from-port="1" to-layer="1515" to-port="0" />
+		<edge from-layer="1514" from-port="0" to-layer="1515" to-port="1" />
+		<edge from-layer="1515" from-port="2" to-layer="1516" to-port="0" />
+		<edge from-layer="1516" from-port="1" to-layer="1517" to-port="1" />
+		<edge from-layer="1517" from-port="2" to-layer="1519" to-port="0" />
+		<edge from-layer="1518" from-port="0" to-layer="1519" to-port="1" />
+		<edge from-layer="1519" from-port="2" to-layer="1520" to-port="1" />
+		<edge from-layer="1520" from-port="2" to-layer="1522" to-port="0" />
+		<edge from-layer="1520" from-port="2" to-layer="1560" to-port="0" />
+		<edge from-layer="1521" from-port="0" to-layer="1522" to-port="1" />
+		<edge from-layer="1522" from-port="2" to-layer="1524" to-port="0" />
+		<edge from-layer="1523" from-port="0" to-layer="1524" to-port="1" />
+		<edge from-layer="1524" from-port="2" to-layer="1526" to-port="0" />
+		<edge from-layer="1525" from-port="0" to-layer="1526" to-port="1" />
+		<edge from-layer="1526" from-port="2" to-layer="1532" to-port="0" />
+		<edge from-layer="1527" from-port="0" to-layer="1528" to-port="0" />
+		<edge from-layer="1528" from-port="1" to-layer="1530" to-port="0" />
+		<edge from-layer="1529" from-port="0" to-layer="1530" to-port="1" />
+		<edge from-layer="1530" from-port="2" to-layer="1531" to-port="0" />
+		<edge from-layer="1531" from-port="1" to-layer="1532" to-port="1" />
+		<edge from-layer="1532" from-port="2" to-layer="1534" to-port="0" />
+		<edge from-layer="1533" from-port="0" to-layer="1534" to-port="1" />
+		<edge from-layer="1534" from-port="2" to-layer="1536" to-port="0" />
+		<edge from-layer="1535" from-port="0" to-layer="1536" to-port="1" />
+		<edge from-layer="1536" from-port="2" to-layer="1538" to-port="0" />
+		<edge from-layer="1537" from-port="0" to-layer="1538" to-port="1" />
+		<edge from-layer="1538" from-port="2" to-layer="1539" to-port="0" />
+		<edge from-layer="1539" from-port="3" to-layer="1543" to-port="0" />
+		<edge from-layer="1539" from-port="2" to-layer="1540" to-port="0" />
+		<edge from-layer="1539" from-port="4" to-layer="1544" to-port="0" />
+		<edge from-layer="1540" from-port="2" to-layer="1542" to-port="0" />
+		<edge from-layer="1541" from-port="0" to-layer="1542" to-port="1" />
+		<edge from-layer="1542" from-port="2" to-layer="1547" to-port="0" />
+		<edge from-layer="1543" from-port="2" to-layer="1547" to-port="1" />
+		<edge from-layer="1544" from-port="2" to-layer="1547" to-port="2" />
+		<edge from-layer="1545" from-port="0" to-layer="1547" to-port="3" />
+		<edge from-layer="1546" from-port="0" to-layer="1547" to-port="4" />
+		<edge from-layer="1547" from-port="5" to-layer="1549" to-port="0" />
+		<edge from-layer="1548" from-port="0" to-layer="1549" to-port="1" />
+		<edge from-layer="1549" from-port="2" to-layer="1551" to-port="0" />
+		<edge from-layer="1550" from-port="0" to-layer="1551" to-port="1" />
+		<edge from-layer="1551" from-port="2" to-layer="1557" to-port="0" />
+		<edge from-layer="1552" from-port="0" to-layer="1553" to-port="0" />
+		<edge from-layer="1553" from-port="1" to-layer="1555" to-port="0" />
+		<edge from-layer="1554" from-port="0" to-layer="1555" to-port="1" />
+		<edge from-layer="1555" from-port="2" to-layer="1556" to-port="0" />
+		<edge from-layer="1556" from-port="1" to-layer="1557" to-port="1" />
+		<edge from-layer="1557" from-port="2" to-layer="1559" to-port="0" />
+		<edge from-layer="1558" from-port="0" to-layer="1559" to-port="1" />
+		<edge from-layer="1559" from-port="2" to-layer="1560" to-port="1" />
+		<edge from-layer="1560" from-port="2" to-layer="1584" to-port="0" />
+		<edge from-layer="1560" from-port="2" to-layer="1562" to-port="0" />
+		<edge from-layer="1561" from-port="0" to-layer="1562" to-port="1" />
+		<edge from-layer="1562" from-port="2" to-layer="1564" to-port="0" />
+		<edge from-layer="1563" from-port="0" to-layer="1564" to-port="1" />
+		<edge from-layer="1564" from-port="2" to-layer="1566" to-port="0" />
+		<edge from-layer="1565" from-port="0" to-layer="1566" to-port="1" />
+		<edge from-layer="1566" from-port="2" to-layer="1572" to-port="0" />
+		<edge from-layer="1567" from-port="0" to-layer="1568" to-port="0" />
+		<edge from-layer="1568" from-port="1" to-layer="1570" to-port="0" />
+		<edge from-layer="1569" from-port="0" to-layer="1570" to-port="1" />
+		<edge from-layer="1570" from-port="2" to-layer="1571" to-port="0" />
+		<edge from-layer="1571" from-port="1" to-layer="1572" to-port="1" />
+		<edge from-layer="1572" from-port="2" to-layer="1574" to-port="0" />
+		<edge from-layer="1573" from-port="0" to-layer="1574" to-port="1" />
+		<edge from-layer="1574" from-port="2" to-layer="1575" to-port="0" />
+		<edge from-layer="1575" from-port="1" to-layer="1581" to-port="0" />
+		<edge from-layer="1576" from-port="0" to-layer="1577" to-port="0" />
+		<edge from-layer="1577" from-port="1" to-layer="1579" to-port="0" />
+		<edge from-layer="1578" from-port="0" to-layer="1579" to-port="1" />
+		<edge from-layer="1579" from-port="2" to-layer="1580" to-port="0" />
+		<edge from-layer="1580" from-port="1" to-layer="1581" to-port="1" />
+		<edge from-layer="1581" from-port="2" to-layer="1583" to-port="0" />
+		<edge from-layer="1582" from-port="0" to-layer="1583" to-port="1" />
+		<edge from-layer="1583" from-port="2" to-layer="1584" to-port="1" />
+		<edge from-layer="1584" from-port="2" to-layer="1589" to-port="0" />
+		<edge from-layer="1585" from-port="0" to-layer="1589" to-port="1" />
+		<edge from-layer="1586" from-port="0" to-layer="1589" to-port="2" />
+		<edge from-layer="1587" from-port="0" to-layer="1589" to-port="3" />
+		<edge from-layer="1588" from-port="0" to-layer="1589" to-port="4" />
+		<edge from-layer="1589" from-port="5" to-layer="1591" to-port="0" />
+		<edge from-layer="1590" from-port="0" to-layer="1591" to-port="1" />
+		<edge from-layer="1591" from-port="2" to-layer="1593" to-port="0" />
+		<edge from-layer="1592" from-port="0" to-layer="1593" to-port="1" />
+		<edge from-layer="1593" from-port="2" to-layer="1595" to-port="0" />
+		<edge from-layer="1594" from-port="0" to-layer="1595" to-port="1" />
+		<edge from-layer="1595" from-port="2" to-layer="1597" to-port="0" />
+		<edge from-layer="1596" from-port="0" to-layer="1597" to-port="1" />
+		<edge from-layer="1597" from-port="2" to-layer="1599" to-port="0" />
+		<edge from-layer="1598" from-port="0" to-layer="1599" to-port="1" />
+		<edge from-layer="1599" from-port="2" to-layer="1601" to-port="0" />
+		<edge from-layer="1600" from-port="0" to-layer="1601" to-port="1" />
+		<edge from-layer="1601" from-port="2" to-layer="1603" to-port="0" />
+		<edge from-layer="1602" from-port="0" to-layer="1603" to-port="1" />
+		<edge from-layer="1603" from-port="2" to-layer="1605" to-port="0" />
+		<edge from-layer="1604" from-port="0" to-layer="1605" to-port="1" />
+		<edge from-layer="1605" from-port="2" to-layer="1607" to-port="0" />
+		<edge from-layer="1606" from-port="0" to-layer="1607" to-port="1" />
+		<edge from-layer="1607" from-port="2" to-layer="1613" to-port="0" />
+		<edge from-layer="1608" from-port="0" to-layer="1609" to-port="0" />
+		<edge from-layer="1609" from-port="1" to-layer="1611" to-port="0" />
+		<edge from-layer="1610" from-port="0" to-layer="1611" to-port="1" />
+		<edge from-layer="1611" from-port="2" to-layer="1612" to-port="0" />
+		<edge from-layer="1612" from-port="1" to-layer="1613" to-port="1" />
+		<edge from-layer="1613" from-port="2" to-layer="1615" to-port="0" />
+		<edge from-layer="1614" from-port="0" to-layer="1615" to-port="1" />
+		<edge from-layer="1615" from-port="2" to-layer="1616" to-port="0" />
+		<edge from-layer="1616" from-port="1" to-layer="1622" to-port="0" />
+		<edge from-layer="1617" from-port="0" to-layer="1618" to-port="0" />
+		<edge from-layer="1618" from-port="1" to-layer="1620" to-port="0" />
+		<edge from-layer="1619" from-port="0" to-layer="1620" to-port="1" />
+		<edge from-layer="1620" from-port="2" to-layer="1621" to-port="0" />
+		<edge from-layer="1621" from-port="1" to-layer="1622" to-port="1" />
+		<edge from-layer="1622" from-port="2" to-layer="1624" to-port="0" />
+		<edge from-layer="1623" from-port="0" to-layer="1624" to-port="1" />
+		<edge from-layer="1624" from-port="2" to-layer="1625" to-port="0" />
+	</edges>
+	<rt_info>
+		<Runtime_version value="2025.0.0-17908-513dcc5c7b7-releases/2025/0" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<nncf>
+			<friendly_names_were_updated value="True" />
+			<weight_compression>
+				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
+				<all_layers value="False" />
+				<awq value="False" />
+				<backup_mode value="int8_asym" />
+				<gptq value="False" />
+				<group_size value="-1" />
+				<ignored_scope value="[]" />
+				<lora_correction value="False" />
+				<mode value="int8_sym" />
+				<ratio value="1.0" />
+				<scale_estimation value="False" />
+				<sensitivity_metric value="weight_quantization_error" />
+			</weight_compression>
+		</nncf>
+		<optimum>
+			<optimum_intel_version value="1.22.0.dev0+2b0d642" />
+			<optimum_version value="1.24.0.dev0" />
+			<pytorch_version value="2.5.1+cpu" />
+			<transformers_version value="4.47.0" />
+		</optimum>
+	</rt_info>
+</net>