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<?xml version="1.0"?> |
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<net name="tokenizer" version="11"> |
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<layers> |
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<layer id="0" name="Parameter_111785" type="Parameter" version="opset1"> |
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<data shape="?" element_type="string" /> |
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<output> |
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<port id="0" precision="STRING" names="Parameter_111785"> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="1" name="Constant_111791" type="Const" version="opset1"> |
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<data element_type="i64" shape="" offset="0" size="8" /> |
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<output> |
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<port id="0" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="2" name="StringTensorUnpack_111786" type="StringTensorUnpack" version="opset15"> |
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<input> |
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<port id="0" precision="STRING"> |
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<dim>-1</dim> |
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</port> |
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</input> |
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<output> |
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<port id="1" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="2" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="3" precision="U8"> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="3" name="ShapeOf_111787" type="ShapeOf" version="opset3"> |
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<data output_type="i64" /> |
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<input> |
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<port id="0" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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</input> |
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<output> |
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<port id="1" precision="I64"> |
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<dim>1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="4" name="Constant_111788" type="Const" version="opset1"> |
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<data element_type="i64" shape="" offset="0" size="8" /> |
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<output> |
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<port id="0" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="5" name="Constant_111789" type="Const" version="opset1"> |
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<data element_type="i64" shape="" offset="0" size="8" /> |
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<output> |
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<port id="0" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="6" name="Gather_111790" type="Gather" version="opset8"> |
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<data batch_dims="0" /> |
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<input> |
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<port id="0" precision="I64"> |
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<dim>1</dim> |
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</port> |
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<port id="1" precision="I64" /> |
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<port id="2" precision="I64" /> |
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</input> |
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<output> |
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<port id="3" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="7" name="Constant_111792" type="Const" version="opset1"> |
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<data element_type="i64" shape="" offset="8" size="8" /> |
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<output> |
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<port id="0" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="8" name="Range_111793" type="Range" version="opset4"> |
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<data output_type="i32" /> |
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<input> |
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<port id="0" precision="I64" /> |
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<port id="1" precision="I64" /> |
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<port id="2" precision="I64" /> |
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</input> |
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<output> |
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<port id="3" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="9" name="Constant_111794" type="Const" version="opset1"> |
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<data element_type="i64" shape="" offset="8" size="8" /> |
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<output> |
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<port id="0" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="10" name="Constant_111795" type="Const" version="opset1"> |
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<data element_type="i64" shape="" offset="8" size="8" /> |
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<output> |
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<port id="0" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="11" name="Add_111796" type="Add" version="opset1"> |
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<data auto_broadcast="numpy" /> |
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<input> |
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<port id="0" precision="I64" /> |
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<port id="1" precision="I64" /> |
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</input> |
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<output> |
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<port id="2" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="12" name="Constant_111797" type="Const" version="opset1"> |
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<data element_type="i64" shape="" offset="8" size="8" /> |
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<output> |
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<port id="0" precision="I64" /> |
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</output> |
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</layer> |
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<layer id="13" name="Range_111798" type="Range" version="opset4"> |
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<data output_type="i32" /> |
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<input> |
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<port id="0" precision="I64" /> |
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<port id="1" precision="I64" /> |
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<port id="2" precision="I64" /> |
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</input> |
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<output> |
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<port id="3" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="14" name="Constant_111860" type="Const" version="opset1"> |
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<data element_type="u8" shape="9059" offset="16" size="9059" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>9059</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="15" name="SpecialTokensSplit_111861" type="SpecialTokensSplit" version="extension"> |
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<input> |
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<port id="0" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="1" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="2" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="3" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="4" precision="U8"> |
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<dim>-1</dim> |
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</port> |
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<port id="5" precision="U8"> |
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<dim>9059</dim> |
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</port> |
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</input> |
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<output> |
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<port id="6" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="7" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="8" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="9" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="10" precision="U8"> |
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<dim>-1</dim> |
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</port> |
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<port id="11" precision="BOOL"> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="16" name="Constant_111863" type="Const" version="opset1"> |
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<data element_type="u8" shape="115" offset="9075" size="115" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>115</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="17" name="RegexSplit_111864" type="RegexSplit" version="extension"> |
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|
<data behaviour="isolate" invert="false" max_splits="-1" /> |
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<input> |
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<port id="0" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="1" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="2" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="3" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="4" precision="U8"> |
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<dim>-1</dim> |
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</port> |
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<port id="5" precision="BOOL"> |
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<dim>-1</dim> |
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</port> |
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<port id="6" precision="U8"> |
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<dim>115</dim> |
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</port> |
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</input> |
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<output> |
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<port id="7" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="8" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="9" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="10" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="11" precision="U8"> |
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<dim>-1</dim> |
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</port> |
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<port id="12" precision="BOOL"> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="18" name="Constant_111866" type="Const" version="opset1"> |
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<data element_type="i32" shape="128256" offset="9190" size="513024" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>128256</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="19" name="Constant_111868" type="Const" version="opset1"> |
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<data element_type="i32" shape="128256" offset="522214" size="513024" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>128256</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="20" name="Constant_111870" type="Const" version="opset1"> |
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<data element_type="u8" shape="838591" offset="1035238" size="838591" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>838591</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="21" name="Constant_111878" type="Const" version="opset1"> |
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<data element_type="i32" shape="280147" offset="1873829" size="1120588" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>280147</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="22" name="Constant_111880" type="Const" version="opset1"> |
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<data element_type="i32" shape="280147" offset="2994417" size="1120588" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>280147</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="23" name="Constant_111882" type="Const" version="opset1"> |
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<data element_type="u8" shape="993515" offset="4115005" size="993515" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>993515</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="24" name="Constant_111884" type="Const" version="opset1"> |
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<data element_type="i32" shape="280147" offset="5108520" size="1120588" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>280147</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="25" name="Constant_111886" type="Const" version="opset1"> |
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<data element_type="i32" shape="280147" offset="6229108" size="1120588" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>280147</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="26" name="Constant_111888" type="Const" version="opset1"> |
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<data element_type="u8" shape="1036718" offset="7349696" size="1036718" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>1036718</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="27" name="Constant_111872" type="Const" version="opset1"> |
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<data element_type="i32" shape="256" offset="8386414" size="1024" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>256</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="28" name="Constant_111874" type="Const" version="opset1"> |
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<data element_type="i32" shape="256" offset="8387438" size="1024" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>256</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="29" name="Constant_111876" type="Const" version="opset1"> |
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<data element_type="u8" shape="7280" offset="8388462" size="7280" /> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>7280</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="30" name="Constant_111889" type="Const" version="opset1"> |
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<data element_type="i32" shape="256" offset="8395742" size="1024" /> |
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<output> |
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<port id="0" precision="I32"> |
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<dim>256</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="31" name="BPETokenizer_111890" type="BPETokenizer" version="extension"> |
|
|
<data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" cache_capacity="25600" /> |
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<input> |
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<port id="0" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="1" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="2" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="3" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="4" precision="U8"> |
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<dim>-1</dim> |
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</port> |
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<port id="5" precision="I32"> |
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<dim>128256</dim> |
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</port> |
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<port id="6" precision="I32"> |
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<dim>128256</dim> |
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</port> |
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<port id="7" precision="U8"> |
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<port id="8" precision="I32"> |
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<port id="9" precision="I32"> |
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<dim>280147</dim> |
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<port id="10" precision="U8"> |
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<port id="11" precision="I32"> |
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<port id="12" precision="I32"> |
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<port id="13" precision="U8"> |
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<dim>256</dim> |
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<port id="15" precision="I32"> |
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<dim>256</dim> |
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<dim>256</dim> |
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<output> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</layer> |
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<layer id="32" name="Constant_111891" type="Const" version="opset1"> |
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<output> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>4</dim> |
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<output> |
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<port id="0" precision="U8"> |
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<dim>13</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="35" name="Truncate_111896" type="Truncate" version="extension"> |
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<data m_num_inputs="1" /> |
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<input> |
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<port id="0" precision="I32"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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<port id="5" precision="U8"> |
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<dim>13</dim> |
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</port> |
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<output> |
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<dim>-1</dim> |
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</output> |
|
|
</layer> |
|
|
<layer id="36" name="Constant_111897" type="Const" version="opset1"> |
|
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<data element_type="i32" shape="1" offset="8396787" size="4" /> |
|
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<output> |
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<port id="0" precision="I32"> |
|
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<dim>1</dim> |
|
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</port> |
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</output> |
|
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</layer> |
|
|
<layer id="37" name="CombineSegments_111898" type="CombineSegments" version="extension"> |
|
|
<input> |
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<port id="0" precision="I32"> |
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</port> |
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<dim>-1</dim> |
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</port> |
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<port id="2" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="3" precision="I32"> |
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<dim>1</dim> |
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</port> |
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</input> |
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<output> |
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<dim>-1</dim> |
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</port> |
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<dim>-1</dim> |
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</port> |
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<dim>-1</dim> |
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</port> |
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<dim>-1</dim> |
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</port> |
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<dim>-1</dim> |
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</port> |
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<port id="9" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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</output> |
|
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</layer> |
|
|
<layer id="38" name="Subtract_111899" type="Subtract" version="opset1"> |
|
|
<data auto_broadcast="numpy" /> |
|
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<input> |
|
|
<port id="0" precision="I32"> |
|
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<dim>-1</dim> |
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</port> |
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<port id="1" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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</input> |
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<output> |
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<port id="2" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="39" name="Constant_111900" type="Const" version="opset1"> |
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<data element_type="i32" shape="" offset="8396787" size="4" /> |
|
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<output> |
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<port id="0" precision="I32" /> |
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</output> |
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</layer> |
|
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<layer id="40" name="ReduceMax_111901" type="ReduceMax" version="opset1"> |
|
|
<data keep_dims="false" /> |
|
|
<input> |
|
|
<port id="0" precision="I32"> |
|
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<dim>-1</dim> |
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</port> |
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<port id="1" precision="I32" /> |
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</input> |
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<output> |
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<port id="2" precision="I32" /> |
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</output> |
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</layer> |
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<layer id="41" name="Constant_111902" type="Const" version="opset1"> |
|
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<data element_type="i32" shape="" offset="8396791" size="4" /> |
|
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<output> |
|
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<port id="0" precision="I32" /> |
|
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</output> |
|
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</layer> |
|
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<layer id="42" name="RaggedToDense_111903" type="RaggedToDense" version="extension"> |
|
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<data pad_right="false" m_pad_max_length="false" /> |
|
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<input> |
|
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<port id="0" precision="I32"> |
|
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<dim>-1</dim> |
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</port> |
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<port id="1" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="2" precision="I32"> |
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<dim>-1</dim> |
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</port> |
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<port id="3" precision="I32" /> |
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<port id="4" precision="I32" /> |
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</input> |
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<output> |
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<port id="5" precision="I32"> |
|
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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<port id="6" precision="BOOL"> |
|
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="43" name="Convert_111904" type="Convert" version="opset1"> |
|
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<data destination_type="i32" /> |
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<input> |
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<port id="0" precision="BOOL"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</input> |
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<port id="1" precision="I32"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="44" name="Convert_111904.0" type="Convert" version="opset1"> |
|
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<data destination_type="i64" /> |
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<input> |
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<port id="0" precision="I32"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</input> |
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<output> |
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<port id="1" precision="I64" names="attention_mask"> |
|
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="46" name="RaggedToDense_111903.0" type="Convert" version="opset1"> |
|
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<data destination_type="i64" /> |
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<input> |
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<port id="0" precision="I32"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</input> |
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<output> |
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<port id="1" precision="I64" names="input_ids"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</output> |
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</layer> |
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<layer id="47" name="Result_111907" type="Result" version="opset1" output_names="input_ids"> |
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<input> |
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<port id="0" precision="I64"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</input> |
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</layer> |
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<layer id="45" name="Result_111909" type="Result" version="opset1" output_names="attention_mask"> |
|
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<input> |
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<port id="0" precision="I64"> |
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<dim>-1</dim> |
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<dim>-1</dim> |
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</port> |
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</input> |
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</layer> |
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</layers> |
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" /> |
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<edge from-layer="1" from-port="0" to-layer="8" to-port="0" /> |
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</edges> |
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<rt_info> |
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<add_attention_mask value="True" /> |
|
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<add_prefix_space /> |
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<add_special_tokens value="True" /> |
|
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<chat_template value="{# ───── defaults ───── #} {%- if enable_thinking is not defined -%} {%- set enable_thinking = true -%} {%- endif -%} {# ───── reasoning mode ───── #} {%- if enable_thinking -%} {%- set reasoning_mode = "/think" -%} {%- else -%} {%- set reasoning_mode = "/no_think" -%} {%- endif -%} {# ───── header (system message) ───── #} {{- "<|im_start|>system\n" -}} {%- if messages[0].role == "system" -%} {%- set system_message = messages[0].content -%} {%- if "/no_think" in system_message -%} {%- set reasoning_mode = "/no_think" -%} {%- elif "/think" in system_message -%} {%- set reasoning_mode = "/think" -%} {%- endif -%} {%- set custom_instructions = system_message.replace("/no_think", "").replace("/think", "").rstrip() -%} {%- endif -%} {%- if "/system_override" in system_message -%} {{- custom_instructions.replace("/system_override", "").rstrip() -}} {{- "<|im_end|>\n" -}} {%- else -%} {{- "## Metadata\n\n" -}} {{- "Knowledge Cutoff Date: June 2025\n" -}} {%- set today = strftime_now("%d %B %Y") -%} {{- "Today Date: " ~ today ~ "\n" -}} {{- "Reasoning Mode: " + reasoning_mode + "\n\n" -}} {{- "## Custom Instructions\n\n" -}} {%- if custom_instructions -%} {{- custom_instructions + "\n\n" -}} {%- elif reasoning_mode == "/think" -%} {{- "You are a helpful AI assistant named SmolLM, trained by Hugging Face. Your role as an assistant involves thoroughly exploring questions through a systematic thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracking, and iteration to develop well-considered thinking process. Please structure your response into two main sections: Thought and Solution using the specified format: <think> Thought section </think> Solution section. In the Thought section, detail your reasoning process in steps. Each step should include detailed considerations such as analysing questions, summarizing relevant findings, brainstorming new ideas, verifying the accuracy of the current steps, refining any errors, and revisiting previous steps. In the Solution section, based on various attempts, explorations, and reflections from the Thought section, systematically present the final solution that you deem correct. The Solution section should be logical, accurate, and concise and detail necessary steps needed to reach the conclusion.\n\n" -}} {%- else -%} {{- "You are a helpful AI assistant named SmolLM, trained by Hugging Face.\n\n" -}} {%- endif -%} {%- if xml_tools or python_tools or tools -%} {{- "### Tools\n\n" -}} {%- if xml_tools or tools -%} {%- if tools -%} {%- set xml_tools = tools -%} {%- endif -%} {%- set ns = namespace(xml_tool_string="You may call one or more functions to assist with the user query.\nYou are provided with function signatures within <tools></tools> XML tags:\n\n<tools>\n") -%} {%- for tool in xml_tools[:] -%} {# The slicing makes sure that xml_tools is a list #} {%- set ns.xml_tool_string = ns.xml_tool_string ~ (tool | string) ~ "\n" -%} {%- endfor -%} {%- set xml_tool_string = ns.xml_tool_string + "</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call>" -%} {{- xml_tool_string -}} {%- endif -%} {%- if python_tools -%} {%- set ns = namespace(python_tool_string="When you send a message containing Python code between '<code>' and '</code>' tags, it will be executed in a stateful Jupyter notebook environment, and you will then be given the output to continued reasoning in an agentic loop.\n\nYou can use the following tools in your python code like regular functions:\n<tools>\n") -%} {%- for tool in python_tools[:] -%} {# The slicing makes sure that python_tools is a list #} {%- set ns.python_tool_string = ns.python_tool_string ~ (tool | string) ~ "\n" -%} {%- endfor -%} {%- set python_tool_string = ns.python_tool_string + "</tools>\n\nThe state persists between code executions: so variables that you define in one step are still available thereafter." -%} {{- python_tool_string -}} {%- endif -%} {{- "\n\n" -}} {{- "<|im_end|>\n" -}} {%- endif -%} {%- endif -%} {# ───── main loop ───── #} {%- for message in messages -%} {%- set content = message.content if message.content is string else "" -%} {%- if message.role == "user" -%} {{ "<|im_start|>" + message.role + "\n" + content + "<|im_end|>\n" }} {%- elif message.role == "assistant" -%} {% generation %} {%- if reasoning_mode == "/think" -%} {{ "<|im_start|>assistant\n" + content.lstrip("\n") + "<|im_end|>\n" }} {%- else -%} {{ "<|im_start|>assistant\n" + "<think>\n\n</think>\n" + content.lstrip("\n") + "<|im_end|>\n" }} {%- endif -%} {% endgeneration %} {%- elif message.role == "tool" -%} {{ "<|im_start|>" + "user\n" + content + "<|im_end|>\n" }} {%- endif -%} {%- endfor -%} {# ───── generation prompt ───── #} {%- if add_generation_prompt -%} {%- if reasoning_mode == "/think" -%} {{ "<|im_start|>assistant\n" }} {%- else -%} {{ "<|im_start|>assistant\n" + "<think>\n\n</think>\n" }} {%- endif -%} {%- endif -%}" /> |
|
|
<clean_up_tokenization_spaces /> |
|
|
<detokenizer_input_type value="i64" /> |
|
|
<eos_token_id value="128012" /> |
|
|
<handle_special_tokens_with_re /> |
|
|
<max_length /> |
|
|
<number_of_inputs value="1" /> |
|
|
<openvino_tokenizers_version value="2025.2.0.1-567-7885335c24b" /> |
|
|
<openvino_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" /> |
|
|
<original_post_processor_template value="{"type": "TemplateProcessing", "single": [{"Sequence": {"id": "A", "type_id": 0}}], "pair": [{"Sequence": {"id": "A", "type_id": 0}}, {"Sequence": {"id": "B", "type_id": 1}}], "special_tokens": {}}" /> |
|
|
<original_tokenizer_class value="<class 'transformers.tokenization_utils_fast.PreTrainedTokenizerFast'>" /> |
|
|
<pad_token_id value="128012" /> |
|
|
<processed_post_processor_template value="{"single": {"ids": [-1], "type_ids": [0]}, "pair": {"ids": [-1, -2], "type_ids": [0, 1]}}" /> |
|
|
<sentencepiece_version value="0.2.0" /> |
|
|
<skip_special_tokens value="True" /> |
|
|
<streaming_detokenizer value="False" /> |
|
|
<tiktoken_version value="0.9.0" /> |
|
|
<tokenizer_output_type value="i64" /> |
|
|
<tokenizers_version value="0.21.4.dev0" /> |
|
|
<transformers_version value="4.54.0" /> |
|
|
<use_max_padding value="False" /> |
|
|
<use_sentencepiece_backend value="False" /> |
|
|
<utf8_replace_mode value="replace" /> |
|
|
<with_detokenizer value="True" /> |
|
|
</rt_info> |
|
|
</net> |
|
|
|
