diff --git "a/openvino_model.xml" "b/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_model.xml"
@@ -0,0 +1,24732 @@
+<?xml version="1.0"?>
+<net name="Model100" version="11">
+	<layers>
+		<layer id="3" 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="2" 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="1" name="position_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="position_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="beam_idx" type="Parameter" version="opset1">
+			<data shape="?" element_type="i32" />
+			<output>
+				<port id="0" precision="I32" names="beam_idx">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Constant_65326" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="5" name="ShapeOf_65299" 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="6" name="Constant_65301" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Constant_65303" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="8" name="Gather_65304" 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">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_65319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Constant_65321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Constant_65323" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="12" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Concat_65324" 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="13" name="Broadcast_65327" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>0</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="ReadValue_64342" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.valuepresent.1.value" variable_type="f32" variable_shape="?,2,?,2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>0</dim>
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.1.value">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>-1</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_63379" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="16" name="Gather_63380" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>-1</dim>
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>-1</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="self.model.embed_tokens.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="32000, 8" offset="20" size="256000" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="Convert_77465" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="self.model.embed_tokens.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="32000, 1" offset="256020" size="32000" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>32000</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="Convert_77468" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>32000</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>32000</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="self.model.embed_tokens.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>32000</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="self.model.embed_tokens.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="32000, 1" offset="288020" size="64000" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>32000</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="self.model.embed_tokens.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>32000</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="__module.model.embed_tokens/prim::PythonOp/Convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>32000</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="__module.model.embed_tokens/prim::PythonOp/Convert_1" 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="26" name="__module.model.embed_tokens/prim::PythonOp/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="27" name="__module.model.embed_tokens/prim::PythonOp/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>32000</dim>
+					<dim>8</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="114,125,61,hidden_states.1,inputs_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="Constant_57685" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="352020" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="Constant_57683" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="352024" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="__module.model.layers.0.input_layernorm/aten::pow/Power" type="Power" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</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="115">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_9430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="352028" size="8" />
+			<output>
+				<port id="0" precision="I64" names="116">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="__module.model.layers.0.input_layernorm/aten::mean/ReduceMean" type="ReduceMean" version="opset1">
+			<data keep_dims="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="117,variance.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Constant_57684" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1" offset="352036" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="__module.model.layers.0.input_layernorm/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">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="118">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="__module.model.layers.0.input_layernorm/aten::rsqrt/Sqrt" type="Sqrt" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="__module.model.layers.0.input_layernorm/aten::rsqrt/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="37" name="__module.model.layers.0.input_layernorm/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="120,121,122,124,hidden_states.3,hidden_states.5,hidden_states.7">
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+		</layer>
+		<layer id="38" name="self.model.layers.0.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="8, 8" offset="352040" size="64" />
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+		<layer id="39" name="Convert_77965" type="Convert" version="opset1">
+			<data destination_type="f16" />
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+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="self.model.layers.0.self_attn.q_proj.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="8, 1" offset="352104" size="8" />
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+				<port id="0" precision="U8">
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+		</layer>
+		<layer id="41" name="Convert_77968" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
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+				<port id="1" precision="FP16">
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="self.model.layers.0.self_attn.q_proj.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
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+			</output>
+		</layer>
+		<layer id="44" name="self.model.layers.0.self_attn.q_proj.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>8</dim>
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