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 +1,40872 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="0" name="input_features" type="Parameter" version="opset1">
+			<data shape="?,128,3000" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="input_features">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 128, 3" offset="0" size="983040" />
+			<output>
+				<port id="0" precision="FP16" names="self.conv1.weight">
+					<dim>1280</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" 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>128</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1" offset="983040" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="__module.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="__module.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="131">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>3000</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="73">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3" offset="985600" size="9830400" />
+			<output>
+				<port id="0" precision="FP16" names="self.conv2.weight">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="self.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" 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>1280</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1280</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1" offset="10816000" size="2560" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.conv2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1280</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="143">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="aten::gelu/Gelu_1" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>1500</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="76,inputs_embeds.1">
+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_172" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10818560" size="24" />
+			<output>
+				<port id="0" precision="I64" names="80">
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="16" name="aten::permute/Transpose" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="I64">
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+			<output>
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+		</layer>
+		<layer id="18" name="Constant_21068" type="Convert" version="opset1">
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+		</layer>
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+		<layer id="20" name="__module.layers.0.self_attn_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="21" 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" />
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