diff --git "a/whisper_medium_encoder.xml" "b/whisper_medium_encoder.xml"
new file mode 100644--- /dev/null
+++ "b/whisper_medium_encoder.xml"
@@ -0,0 +1,28440 @@
+<?xml version="1.0"?>
+<net name="main_graph" version="11">
+	<layers>
+		<layer id="0" name="input_features" type="Parameter" version="opset1">
+			<data shape="1,80,3000" element_type="f16" />
+			<output>
+				<port id="0" precision="FP16" names="input_features">
+					<dim>1</dim>
+					<dim>80</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="conv1.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 80, 3" offset="0" size="491520" />
+			<output>
+				<port id="0" precision="FP16" names="conv1.weight">
+					<dim>1024</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1" dilations="1" pads_begin="1" pads_end="1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>80</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>80</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Reshape_381" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1024, 1" offset="491520" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="/Mul_1" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>3000</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16" names="/Mul_1_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>3000</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="conv2.weight" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1024, 3" offset="493568" size="6291456" />
+			<output>
+				<port id="0" precision="FP16" names="conv2.weight">
+					<dim>1024</dim>
+					<dim>1024</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="2" dilations="1" pads_begin="1" pads_end="1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>3000</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Reshape_405" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1024, 1" offset="6785024" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="/Mul_3" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1500</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16" names="/Mul_3_output_0">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1500</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Constant_417" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="6787072" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1024</dim>
+					<dim>1500</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/Transpose_output_0">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Constant_14855" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1500, 1024" offset="6787096" size="3072000" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/Add_2_output_0">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_14860" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1024" offset="9859096" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Convert_420" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Range_424" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9861144" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="MVN_425" 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>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="ConvertLike_426" type="ConvertLike" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="Constant_14856" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1024" offset="9861152" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Multiply_427" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="Constant_14857" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1024" offset="9863200" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="/layers.0/self_attn_layer_norm/LayerNormalization" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/layers.0/self_attn_layer_norm/LayerNormalization_output_0">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Multiply_11507" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1024" offset="9865248" size="2097152" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Multiply_11339" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_14858" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1024" offset="11962400" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="/layers.0/self_attn/Mul" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/layers.0/self_attn/Mul_output_0">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="/layers.0/self_attn/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11964448" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/layers.0/self_attn/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="/layers.0/self_attn/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/layers.0/self_attn/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="Constant_446" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11964480" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="/layers.0/self_attn/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/layers.0/self_attn/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1500</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="/layers.0/self_attn/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="11964512" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/layers.0/self_attn/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="/layers.0/self_attn/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1500</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/layers.0/self_attn/Reshape_3_output_0">
+					<dim>16</dim>
+					<dim>1500</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Transpose_9981" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1024" offset="11964536" size="2097152" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="/layers.0/self_attn/k_proj/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/layers.0/self_attn/k_proj/MatMul_output_0">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="/layers.0/self_attn/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="14061688" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/layers.0/self_attn/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="/layers.0/self_attn/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16" names="/layers.0/self_attn/Reshape_output_0">
+					<dim>1</dim>
+					<dim>1500</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="Constant_437" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11964480" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
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