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 +1,7663 @@
+<?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_25934" 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.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="3" name="Convert_42647" 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="4" 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="5" name="Convert_42650" 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="6" 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="7" 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="8" 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="9" 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="10" name="Constant_31368" 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="11" 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="46">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" 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="13" 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="14" 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="48,inputs_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" 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="16" name="Convert_42878" 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="17" 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="18" name="Convert_42881" 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="19" 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="20" 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="21" 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="22" 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="23" name="23" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="67118882" size="8" />
+			<output>
+				<port id="0" precision="I64" names="23" />
+			</output>
+		</layer>
+		<layer id="24" name="ShapeOf_31341" 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="25" name="Constant_31342" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="67118890" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="26" name="Constant_31343" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="67118882" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="27" name="Gather_31344" 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="43,49,59,61" />
+			</output>
+		</layer>
+		<layer id="28" name="__module.model.model.decoder/aten::arange/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="67118898" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="29" name="__module.model.model.decoder/aten::arange/Range" type="Range" version="opset4">
+			<data output_type="f32" />
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="51,cache_position">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="__module.model.model.decoder/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="52,position_ids">
+					<dim>1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="__module.model.model.decoder.embed_positions/aten::index/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<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="32" name="Constant_25931" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="66544094" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="33" 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>
+				</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="55,56,positions,positions.1">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="__module.model.model.decoder/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="57,input.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" 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="67118902" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" 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" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="Constant_31109" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="67118906" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="__module.model.model.decoder.layers.0.self_attn_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="Constant_31110" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1280" offset="67124026" size="5120" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="__module.model.model.decoder.layers.0.self_attn_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="90,hidden_states.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="Constant_31012" type="Const" version="opset1">
+			<data element_type="u4" shape="1280, 10, 128" offset="67129146" size="819200" />
+			<output>
+				<port id="0" precision="U4">
+					<dim>1280</dim>
+					<dim>10</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="Convert_42767" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>1280</dim>
+					<dim>10</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1280</dim>
+					<dim>10</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="Constant_31012/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="1280, 10, 1" offset="67948346" size="6400" />
+			<output>
+				<port id="0" precision="U4">
+					<dim>1280</dim>
+					<dim>10</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="Convert_42769" type="Convert" version="opset1">
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+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<nncf>
+			<friendly_names_were_updated value="True" />
+			<weight_compression>
+				<advanced_parameters value="{'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}}" />
+				<all_layers value="False" />
+				<awq value="False" />
+				<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" />
+			</weight_compression>
+		</nncf>
+		<optimum>
+			<optimum_intel_version value="1.20.0.dev0+2559620" />
+			<optimum_version value="1.23.1" />
+			<pytorch_version value="2.5.0" />
+			<transformers_version value="4.45.2" />
+		</optimum>
+	</rt_info>
+</net>