diff --git "a/openvino/openvino_model.xml" "b/openvino/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino/openvino_model.xml"
@@ -0,0 +1,6486 @@
+<?xml version="1.0"?>
+<net name="Model7410" version="11">
+	<layers>
+		<layer id="2" name="input_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="input_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="token_type_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="token_type_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="self.embeddings.word_embeddings.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="30522, 384" offset="0" size="46881792" />
+			<output>
+				<port id="0" precision="FP32" names="self.embeddings.word_embeddings.weight">
+					<dim>30522</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.embeddings.word_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="__module.embeddings.word_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="46881792" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6" name="__module.embeddings.word_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>30522</dim>
+					<dim>384</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="79,inputs_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.embeddings.token_type_embeddings.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="2, 384" offset="46881796" size="3072" />
+			<output>
+				<port id="0" precision="FP32" names="self.embeddings.token_type_embeddings.weight">
+					<dim>2</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.embeddings.token_type_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.embeddings.token_type_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="46881792" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="10" name="__module.embeddings.token_type_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>2</dim>
+					<dim>384</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="81,token_type_embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.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>384</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>384</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="82_1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="self.embeddings.position_embeddings.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="4096, 384" offset="46884868" size="6291456" />
+			<output>
+				<port id="0" precision="FP32" names="self.embeddings.position_embeddings.weight">
+					<dim>4096</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.embeddings/aten::slice/Slice" type="Const" version="opset1">
+			<data element_type="i64" shape="1, 4096" offset="53176324" size="32768" />
+			<output>
+				<port id="0" precision="I64" names="76">
+					<dim>1</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.embeddings/aten::slice/Reshape" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="53209092" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="ShapeOf_6245211" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Constant_6245333" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="53209100" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_6245213" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="53209092" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="18" name="Gather_6245214" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="10,17,19,72,74,75,8">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.embeddings/aten::slice/Reshape_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="53209100" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.embeddings/aten::slice/Reshape_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="53209100" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.embeddings/aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>4096</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="I64" names="77">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.embeddings.position_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.embeddings.position_embeddings/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="46881792" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="24" name="__module.embeddings.position_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4096</dim>
+					<dim>384</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="84,position_embeddings.1">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="__module.embeddings/aten::add_/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="82,embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.embeddings.LayerNorm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="53209108" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="__module.embeddings.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>384</dim>
+				</port>
+				<port id="1" precision="I32">
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="28" name="Constant_6245086" type="Const" version="opset1">
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+					<dim>1</dim>
+					<dim>384</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="__module.embeddings.LayerNorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+				<port id="2" precision="FP32">
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+			</output>
+		</layer>
+		<layer id="30" name="Constant_6245087" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 384" offset="53210648" size="1536" />
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+			</output>
+		</layer>
+		<layer id="31" name="__module.embeddings.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+			<output>
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+		<layer id="32" name="self.encoder.layer.0.attention.self.query.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="384, 384" offset="53212184" size="589824" />
+			<output>
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+					<dim>384</dim>
+					<dim>384</dim>
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+		</layer>
+		<layer id="33" name="__module.encoder.layer.0.attention.self.query/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+		<layer id="34" name="Constant_6245088" type="Const" version="opset1">
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+		<layer id="35" name="__module.encoder.layer.0.attention.self.query/aten::linear/Add" type="Add" version="opset1">
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+		<layer id="37" name="__module.encoder.layer.0.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
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+		<layer id="41" name="__module.encoder.layer.0.attention.self.key/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+			<optimum_intel_version value="1.20.1" />
+			<optimum_version value="1.23.3" />
+			<pytorch_version value="2.5.1" />
+			<transformers_version value="4.46.2" />
+		</optimum>
+	</rt_info>
+</net>