diff --git "a/openvino_encoder_model.xml" "b/openvino_encoder_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_encoder_model.xml"
@@ -0,0 +1,19284 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="0" name="input_features" type="Parameter" version="opset1">
+			<data shape="?,80,3000" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="input_features">
+					<dim>-1</dim>
+					<dim>80</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.conv1.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="768, 80, 3" offset="0" size="184320" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Convert_357696" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="self.conv1.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="768, 1, 1" offset="184320" size="768" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Convert_357699" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="self.conv1.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="self.conv1.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 1, 1" offset="185088" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.conv1.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1" dilations="1" pads_begin="1" pads_end="1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>80</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 768, 1" offset="186624" size="3072" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="71">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>3000</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="33">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="self.conv2.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="768, 768, 3" offset="189696" size="1769472" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Convert_147241" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="self.conv2.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="768, 1, 1" offset="1959168" size="768" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Convert_147244" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="self.conv2.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="self.conv2.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 1, 1" offset="1959936" size="1536" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="self.conv2.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>768</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="self.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="2" dilations="1" pads_begin="1" pads_end="1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>768</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 768, 1" offset="1961472" size="3072" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>768</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="83">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="aten::gelu/Gelu_1" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>1500</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="36,inputs_embeds.1">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Constant_132" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="1964544" size="24" />
+			<output>
+				<port id="0" precision="I64" names="40">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="FP32" names="41,inputs_embeds">
+					<dim>-1</dim>
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+			</output>
+		</layer>
+		<layer id="27" name="Constant_9601" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1500, 768" offset="1964568" size="4608000" />
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+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+			<output>
+				<port id="2" precision="FP32" names="43,input.1">
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+		</layer>
+		<layer id="29" name="__module.layers.0.self_attn_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="6572568" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="__module.layers.0.self_attn_layer_norm/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>
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+					<dim>768</dim>
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+		</layer>
+		<layer id="31" name="Constant_9602" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 768" offset="6572572" size="3072" />
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+					<dim>768</dim>
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+		</layer>
+		<layer id="32" name="__module.layers.0.self_attn_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+		<layer id="33" name="Constant_9603" type="Const" version="opset1">
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+		</layer>
+		<layer id="34" name="__module.layers.0.self_attn_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+			<output>
+				<port id="2" precision="FP32" names="106,hidden_states.1">
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+		<layer id="35" name="self.layers.0.self_attn.q_proj.weight" type="Const" version="opset1">
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+					<dim>768</dim>
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+		<layer id="36" name="Convert_160126" type="Convert" version="opset1">
+			<data destination_type="f16" />
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+				<port id="0" precision="U8">
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+		<layer id="37" name="self.layers.0.self_attn.q_proj.weight/zero_point" type="Const" version="opset1">
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+		<layer id="38" name="Convert_160129" type="Convert" version="opset1">
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+				<port id="1" precision="FP16">
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+		<layer id="39" name="self.layers.0.self_attn.q_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
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