diff --git "a/openvino_decoder_model.xml" "b/openvino_decoder_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_decoder_model.xml"
@@ -0,0 +1,17932 @@
+<?xml version="1.0"?>
+<net name="Model3" version="11">
+	<layers>
+		<layer id="1" name="decoder_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="0" name="Parameter_12301" type="Parameter" version="opset1">
+			<data shape="?,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="encoder_hidden_states">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.model.model.decoder.layers.5.encoder_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="0" size="262144" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Convert_38433" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="self.model.model.decoder.layers.5.encoder_attn.v_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="262144" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Convert_38436" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="self.model.model.decoder.layers.5.encoder_attn.v_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.model.model.decoder.layers.5.encoder_attn.v_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="262656" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.model.model.decoder.layers.5.encoder_attn.v_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="self.model.model.decoder.layers.5.encoder_attn.v_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.model.model.decoder.layers.5.encoder_attn.v_proj/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>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Constant_18580" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 512" offset="263680" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.model.model.decoder.layers.5.encoder_attn.v_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="852,tensor">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="ShapeOf_18976" 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="14" name="Constant_18977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="265728" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_18978" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="265728" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="16" name="Gather_18979" 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="105,135,189,264,318,393,447,522,576,651,705,780,834">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_6567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="265736" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Constant_6568" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="265744" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Constant_6569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="265752" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.model.model.decoder.layers.0.self_attn/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>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.model.model.decoder.layers.5.encoder_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="854">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.model.model.decoder.layers.5.encoder_attn/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="265760" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.model.model.decoder.layers.5.encoder_attn/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.5.encoder.value">
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="self.model.model.decoder.layers.5.encoder_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 512" offset="265776" size="262144" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Convert_38444" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="self.model.model.decoder.layers.5.encoder_attn.k_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1" offset="527920" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="Convert_38447" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="self.model.model.decoder.layers.5.encoder_attn.k_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="self.model.model.decoder.layers.5.encoder_attn.k_proj.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1" offset="528432" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="self.model.model.decoder.layers.5.encoder_attn.k_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="self.model.model.decoder.layers.5.encoder_attn.k_proj.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="__module.model.model.decoder.layers.5.encoder_attn.k_proj/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>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="845,tensor.69">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="__module.model.model.decoder.layers.5.encoder_attn/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="847">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="__module.model.model.decoder.layers.5.encoder_attn/aten::transpose/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="265760" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="__module.model.model.decoder.layers.5.encoder_attn/aten::transpose/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="present.5.encoder.key">
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="self.model.model.decoder.embed_tokens.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="51865, 512" offset="529456" size="26554880" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>51865</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="Convert_38290" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>51865</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>51865</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="self.model.model.decoder.embed_tokens.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="51865, 1" offset="27084336" size="51865" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>51865</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="Convert_38293" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>51865</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>51865</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="self.model.model.decoder.embed_tokens.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>51865</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>51865</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>51865</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="self.model.model.decoder.embed_tokens.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="51865, 1" offset="27136201" size="103730" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>51865</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+			<pytorch_version value="2.5.1" />
+			<transformers_version value="4.46.3" />
+		</optimum>
+	</rt_info>
+</net>