diff --git "a/openvino_decoder_with_past_model.xml" "b/openvino_decoder_with_past_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_decoder_with_past_model.xml"
@@ -0,0 +1,6755 @@
+<?xml version="1.0"?>
+<net name="Model6" version="11">
+	<layers>
+		<layer id="10" name="decoder_input_ids" type="Parameter" version="opset1">
+			<data shape="?,1" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="input_ids">
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="encoder_outputs" type="Parameter" version="opset1">
+			<data shape="?,?,1280" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="encoder_hidden_states">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Parameter_34544" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.0.decoder.key">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Parameter_34543" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.0.decoder.value">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Parameter_34542" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.0.encoder.key">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Parameter_34541" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.0.encoder.value">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Parameter_34548" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.1.decoder.key">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Parameter_34547" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.1.decoder.value">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Parameter_34546" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.1.encoder.key">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Parameter_34545" type="Parameter" version="opset1">
+			<data shape="?,20,?,64" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="past_key_values.1.encoder.value">
+					<dim>-1</dim>
+					<dim>20</dim>
+					<dim>-1</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="cache_position" type="Parameter" version="opset1">
+			<data shape="?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="cache_position">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="self.model.model.decoder.embed_tokens.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="51866, 1280" offset="0" size="66388480" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Convert_53763" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="self.model.model.decoder.embed_tokens.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="51866, 1" offset="66388480" size="51866" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>51866</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Convert_53766" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>51866</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>51866</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" 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>51866</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>51866</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="self.model.model.decoder.embed_tokens.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="51866, 1" offset="66440346" size="103732" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>51866</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="self.model.model.decoder.embed_tokens.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>51866</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="self.model.model.decoder.embed_tokens.weight/fq_weights_0/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>51866</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.model.model.decoder/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="66544078" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.model.model.decoder/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="65">
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" 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="22" name="__module.model.model.decoder.embed_tokens/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="66544094" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="23" 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>51866</dim>
+					<dim>1280</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="67,inputs_embeds">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="self.model.model.decoder.embed_positions.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="448, 1280" offset="66544098" size="573440" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Convert_53950" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="self.model.model.decoder.embed_positions.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="448, 1" offset="67117538" size="448" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>448</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Convert_53953" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>448</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>448</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="self.model.model.decoder.embed_positions.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>448</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="self.model.model.decoder.embed_positions.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="448, 1" offset="67117986" size="896" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>448</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="self.model.model.decoder.embed_positions.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>448</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="self.model.model.decoder.embed_positions.weight/fq_weights_0/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>448</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="42" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="67118882" size="8" />
+			<output>
+				<port id="0" precision="I64" names="42" />
+			</output>
+		</layer>
+		<layer id="33" name="__module.model.model.decoder/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" names="71,position_ids">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="__module.model.model.decoder.embed_positions/aten::index/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="35" name="__module.model.model.decoder.embed_positions/aten::index/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="66544094" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="36" name="__module.model.model.decoder.embed_positions/aten::index/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>448</dim>
+					<dim>1280</dim>
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+				<port id="1" precision="I32">
+					<dim>1</dim>
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+				<port id="2" precision="I32" />
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+			<output>
+				<port id="3" precision="FP32" names="74,75,positions,positions.1">
+					<dim>1</dim>
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+		</layer>
+		<layer id="37" name="__module.model.model.decoder/aten::add/Add" type="Add" version="opset1">
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+		<layer id="38" name="__module.model.model.decoder.layers.0.self_attn_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="67118890" size="4" />
+			<output>
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+		<layer id="39" name="__module.model.model.decoder.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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+				<port id="0" precision="FP32">
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+		<layer id="41" name="__module.model.model.decoder.layers.0.self_attn_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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+		<layer id="43" name="__module.model.model.decoder.layers.0.self_attn_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<nncf>
+			<friendly_names_were_updated value="True" />
+			<weight_compression>
+				<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
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+				<awq value="False" />
+				<backup_mode value="int8_asym" />
+				<gptq value="False" />
+				<group_size value="128" />
+				<ignored_scope value="[]" />
+				<lora_correction value="False" />
+				<mode value="int4_asym" />
+				<ratio value="1.0" />
+				<scale_estimation value="False" />
+				<sensitivity_metric value="weight_quantization_error" />
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+	</rt_info>
+</net>