diff --git "a/ov_models/mini-bart-g2p-no_cache/openvino_decoder_model.xml" "b/ov_models/mini-bart-g2p-no_cache/openvino_decoder_model.xml"
new file mode 100644--- /dev/null
+++ "b/ov_models/mini-bart-g2p-no_cache/openvino_decoder_model.xml"
@@ -0,0 +1,8070 @@
+<?xml version="1.0"?>
+<net name="Model36" version="11">
+	<layers>
+		<layer id="2" name="attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="encoder_attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<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_135608" 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="3" name="self.model.model.shared.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="103, 256" offset="0" size="105472" />
+			<output>
+				<port id="0" precision="FP32" names="self.model.model.shared.weight">
+					<dim>103</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.model.model.decoder.embed_tokens/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.model.model.decoder.embed_tokens/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="105472" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="6" name="__module.model.model.decoder.embed_tokens/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>103</dim>
+					<dim>256</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="55">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Constant_153216" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="105476" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.model.model.decoder.embed_tokens/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>256</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="56,inputs_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="self.model.model.decoder.embed_positions.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="130, 256" offset="105480" size="133120" />
+			<output>
+				<port id="0" precision="FP32" names="self.model.model.decoder.embed_positions.weight">
+					<dim>130</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="34" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="238600" size="8" />
+			<output>
+				<port id="0" precision="I64" names="34" />
+			</output>
+		</layer>
+		<layer id="11" name="ShapeOf_154338" 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="12" name="Constant_154339" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="238608" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="13" name="Constant_154340" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="238600" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="14" name="Gather_154341" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="53,57,61,64,92,94,key_value_length" />
+			</output>
+		</layer>
+		<layer id="15" name="__module.model.model.decoder.embed_positions/aten::arange/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="238616" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="16" name="__module.model.model.decoder.embed_positions/aten::arange/Range" type="Range" version="opset4">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="96">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_153217" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="238620" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Add_152622" type="Add" 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">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Constant_152624" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="238608" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="ShapeOf_152623" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Concat_152625" 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>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="Constant_154345" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="238600" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Constant_154346" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="238600" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="24" name="Gather_154347" 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="52,78,91">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Constant_150497" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="238608" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.model.model.decoder.embed_positions/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>2</dim>
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+			</output>
+		</layer>
+		<layer id="27" name="Maximum_152626" type="Maximum" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I64">
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+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="__module.model.model.decoder.embed_positions/aten::add/Add_1" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="99,input.1">
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+					<dim>-1</dim>
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+			</output>
+		</layer>
+		<layer id="29" name="__module.model.model.decoder.embed_positions/aten::embedding/Convert" type="Convert" version="opset1">
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+				<port id="0" precision="I64">
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+		<layer id="30" name="__module.model.model.decoder.embed_positions/aten::embedding/Constant" type="Const" version="opset1">
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+				<port id="0" precision="I32" />
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+		</layer>
+		<layer id="31" name="__module.model.model.decoder.embed_positions/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
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+					<dim>-1</dim>
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+		<layer id="34" name="__module.model.model.decoder.layernorm_embedding/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+		<edge from-layer="473" from-port="2" to-layer="475" to-port="0" />
+		<edge from-layer="474" from-port="0" to-layer="475" to-port="1" />
+		<edge from-layer="475" from-port="2" to-layer="477" to-port="0" />
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+		<edge from-layer="478" from-port="2" to-layer="479" to-port="0" />
+	</edges>
+	<rt_info>
+		<Runtime_version value="2024.6.0-42-908a398b9c9" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<optimum>
+			<optimum_intel_version value="1.21.0" />
+			<optimum_version value="1.23.3" />
+			<pytorch_version value="2.5.1" />
+			<transformers_version value="4.46.3" />
+		</optimum>
+		<runtime_options>
+			<ACTIVATIONS_SCALE_FACTOR value="8.0" />
+			<KV_CACHE_PRECISION value="f16" />
+		</runtime_options>
+	</rt_info>
+</net>