Upload 4 files
Browse files- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +153 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +385 -0
openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b19c7945e69a1dac763477b61fd60a2a6b08d8862500b3e184d5adf79d02f288
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size 587460
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openvino_detokenizer.xml
ADDED
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_33" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_33">
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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="1" name="Constant_2" type="Const" version="opset1">
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<data element_type="u8" shape="587448" offset="0" size="587448" />
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<output>
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<port id="0" precision="U8">
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<dim>587448</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_48" 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="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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<output>
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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="3" name="SentencepieceDetokenizer_34" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>587448</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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<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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<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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</output>
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</layer>
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<layer id="4" name="Constant_36" type="Const" version="opset1">
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<data element_type="u8" shape="10" offset="587448" size="10" />
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<output>
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<port id="0" precision="U8">
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<dim>10</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Constant_38" type="Const" version="opset1">
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<data element_type="u8" shape="2" offset="587458" size="2" />
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<output>
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<port id="0" precision="U8">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="6" name="RegexNormalization_39" type="RegexNormalization" version="extension">
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<data global_replace="true" />
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<input>
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| 77 |
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<port id="0" precision="I32">
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| 78 |
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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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| 81 |
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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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>10</dim>
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</port>
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<port id="4" precision="U8">
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<dim>2</dim>
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</port>
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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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</port>
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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="U8">
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| 101 |
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<dim>-1</dim>
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| 102 |
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</port>
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</output>
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</layer>
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<layer id="7" name="StringTensorPack_40" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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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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| 112 |
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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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="3" precision="STRING" names="string_output">
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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="8" name="Result_41" type="Result" version="opset1">
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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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</layer>
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</layers>
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<edges>
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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="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="6" to-port="0" />
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| 137 |
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<edge from-layer="3" from-port="3" to-layer="6" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="6" to-port="2" />
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| 139 |
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<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
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<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
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<edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
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<edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
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<edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
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<edge from-layer="7" from-port="3" to-layer="8" to-port="0" />
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</edges>
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<rt_info>
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<bos_token_id value="1" />
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<chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
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<eos_token_id value="32768" />
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<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
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<pad_token_id value="2" />
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</rt_info>
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</net>
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openvino_tokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1db645f16bb1edb046a19c7f224affeda7b0120a545ae663ab90f6063da15a3
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size 587474
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openvino_tokenizer.xml
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| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="tokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="string_input" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?" element_type="string" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="STRING" names="string_input">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
</port>
|
| 10 |
+
</output>
|
| 11 |
+
</layer>
|
| 12 |
+
<layer id="1" name="Constant_12" type="Const" version="opset1">
|
| 13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 14 |
+
<output>
|
| 15 |
+
<port id="0" precision="I32" />
|
| 16 |
+
</output>
|
| 17 |
+
</layer>
|
| 18 |
+
<layer id="2" name="Constant_1" type="Const" version="opset1">
|
| 19 |
+
<data element_type="u8" shape="587448" offset="4" size="587448" />
|
| 20 |
+
<output>
|
| 21 |
+
<port id="0" precision="U8">
|
| 22 |
+
<dim>587448</dim>
|
| 23 |
+
</port>
|
| 24 |
+
</output>
|
| 25 |
+
</layer>
|
| 26 |
+
<layer id="3" name="StringTensorUnpack_4" type="StringTensorUnpack" version="extension">
|
| 27 |
+
<data mode="begins_ends" />
|
| 28 |
+
<input>
|
| 29 |
+
<port id="0" precision="STRING">
|
| 30 |
+
<dim>-1</dim>
|
| 31 |
+
</port>
|
| 32 |
+
</input>
|
| 33 |
+
<output>
|
| 34 |
+
<port id="1" precision="I32">
|
| 35 |
+
<dim>-1</dim>
|
| 36 |
+
</port>
|
| 37 |
+
<port id="2" precision="I32">
|
| 38 |
+
<dim>-1</dim>
|
| 39 |
+
</port>
|
| 40 |
+
<port id="3" precision="U8">
|
| 41 |
+
<dim>-1</dim>
|
| 42 |
+
</port>
|
| 43 |
+
</output>
|
| 44 |
+
</layer>
|
| 45 |
+
<layer id="4" name="Constant_6" type="Const" version="opset1">
|
| 46 |
+
<data element_type="u8" shape="7" offset="587452" size="7" />
|
| 47 |
+
<output>
|
| 48 |
+
<port id="0" precision="U8">
|
| 49 |
+
<dim>7</dim>
|
| 50 |
+
</port>
|
| 51 |
+
</output>
|
| 52 |
+
</layer>
|
| 53 |
+
<layer id="5" name="Constant_8" type="Const" version="opset1">
|
| 54 |
+
<data element_type="u8" shape="3" offset="587459" size="3" />
|
| 55 |
+
<output>
|
| 56 |
+
<port id="0" precision="U8">
|
| 57 |
+
<dim>3</dim>
|
| 58 |
+
</port>
|
| 59 |
+
</output>
|
| 60 |
+
</layer>
|
| 61 |
+
<layer id="6" name="RegexNormalization_9" type="RegexNormalization" version="extension">
|
| 62 |
+
<data global_replace="true" />
|
| 63 |
+
<input>
|
| 64 |
+
<port id="0" precision="I32">
|
| 65 |
+
<dim>-1</dim>
|
| 66 |
+
</port>
|
| 67 |
+
<port id="1" precision="I32">
|
| 68 |
+
<dim>-1</dim>
|
| 69 |
+
</port>
|
| 70 |
+
<port id="2" precision="U8">
|
| 71 |
+
<dim>-1</dim>
|
| 72 |
+
</port>
|
| 73 |
+
<port id="3" precision="U8">
|
| 74 |
+
<dim>7</dim>
|
| 75 |
+
</port>
|
| 76 |
+
<port id="4" precision="U8">
|
| 77 |
+
<dim>3</dim>
|
| 78 |
+
</port>
|
| 79 |
+
</input>
|
| 80 |
+
<output>
|
| 81 |
+
<port id="5" precision="I32">
|
| 82 |
+
<dim>-1</dim>
|
| 83 |
+
</port>
|
| 84 |
+
<port id="6" precision="I32">
|
| 85 |
+
<dim>-1</dim>
|
| 86 |
+
</port>
|
| 87 |
+
<port id="7" precision="U8">
|
| 88 |
+
<dim>-1</dim>
|
| 89 |
+
</port>
|
| 90 |
+
</output>
|
| 91 |
+
</layer>
|
| 92 |
+
<layer id="7" name="StringTensorPack_10" type="StringTensorPack" version="extension">
|
| 93 |
+
<data mode="begins_ends" />
|
| 94 |
+
<input>
|
| 95 |
+
<port id="0" precision="I32">
|
| 96 |
+
<dim>-1</dim>
|
| 97 |
+
</port>
|
| 98 |
+
<port id="1" precision="I32">
|
| 99 |
+
<dim>-1</dim>
|
| 100 |
+
</port>
|
| 101 |
+
<port id="2" precision="U8">
|
| 102 |
+
<dim>-1</dim>
|
| 103 |
+
</port>
|
| 104 |
+
</input>
|
| 105 |
+
<output>
|
| 106 |
+
<port id="3" precision="STRING">
|
| 107 |
+
<dim>-1</dim>
|
| 108 |
+
</port>
|
| 109 |
+
</output>
|
| 110 |
+
</layer>
|
| 111 |
+
<layer id="8" name="SentencepieceTokenizer_11" type="SentencepieceTokenizer" version="extension">
|
| 112 |
+
<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="true" />
|
| 113 |
+
<input>
|
| 114 |
+
<port id="0" precision="U8">
|
| 115 |
+
<dim>587448</dim>
|
| 116 |
+
</port>
|
| 117 |
+
<port id="1" precision="STRING">
|
| 118 |
+
<dim>-1</dim>
|
| 119 |
+
</port>
|
| 120 |
+
</input>
|
| 121 |
+
<output>
|
| 122 |
+
<port id="2" precision="I64">
|
| 123 |
+
<dim>-1</dim>
|
| 124 |
+
<dim>2</dim>
|
| 125 |
+
</port>
|
| 126 |
+
<port id="3" precision="I32">
|
| 127 |
+
<dim>-1</dim>
|
| 128 |
+
</port>
|
| 129 |
+
<port id="4" precision="I64">
|
| 130 |
+
<dim>2</dim>
|
| 131 |
+
</port>
|
| 132 |
+
</output>
|
| 133 |
+
</layer>
|
| 134 |
+
<layer id="9" name="Broadcast_13" type="Broadcast" version="opset3">
|
| 135 |
+
<data mode="numpy" />
|
| 136 |
+
<input>
|
| 137 |
+
<port id="0" precision="I32" />
|
| 138 |
+
<port id="1" precision="I64">
|
| 139 |
+
<dim>2</dim>
|
| 140 |
+
</port>
|
| 141 |
+
</input>
|
| 142 |
+
<output>
|
| 143 |
+
<port id="2" precision="I32">
|
| 144 |
+
<dim>-1</dim>
|
| 145 |
+
<dim>-1</dim>
|
| 146 |
+
</port>
|
| 147 |
+
</output>
|
| 148 |
+
</layer>
|
| 149 |
+
<layer id="10" name="Constant_14" type="Const" version="opset1">
|
| 150 |
+
<data element_type="i32" shape="" offset="587462" size="4" />
|
| 151 |
+
<output>
|
| 152 |
+
<port id="0" precision="I32" />
|
| 153 |
+
</output>
|
| 154 |
+
</layer>
|
| 155 |
+
<layer id="11" name="ShapeOf_15" type="ShapeOf" version="opset3">
|
| 156 |
+
<data output_type="i64" />
|
| 157 |
+
<input>
|
| 158 |
+
<port id="0" precision="I32">
|
| 159 |
+
<dim>-1</dim>
|
| 160 |
+
</port>
|
| 161 |
+
</input>
|
| 162 |
+
<output>
|
| 163 |
+
<port id="1" precision="I64">
|
| 164 |
+
<dim>1</dim>
|
| 165 |
+
</port>
|
| 166 |
+
</output>
|
| 167 |
+
</layer>
|
| 168 |
+
<layer id="12" name="Broadcast_16" type="Broadcast" version="opset3">
|
| 169 |
+
<data mode="numpy" />
|
| 170 |
+
<input>
|
| 171 |
+
<port id="0" precision="I32" />
|
| 172 |
+
<port id="1" precision="I64">
|
| 173 |
+
<dim>1</dim>
|
| 174 |
+
</port>
|
| 175 |
+
</input>
|
| 176 |
+
<output>
|
| 177 |
+
<port id="2" precision="I32">
|
| 178 |
+
<dim>-1</dim>
|
| 179 |
+
</port>
|
| 180 |
+
</output>
|
| 181 |
+
</layer>
|
| 182 |
+
<layer id="13" name="ScatterNDUpdate_20" type="ScatterNDUpdate" version="opset4">
|
| 183 |
+
<input>
|
| 184 |
+
<port id="0" precision="I32">
|
| 185 |
+
<dim>-1</dim>
|
| 186 |
+
<dim>-1</dim>
|
| 187 |
+
</port>
|
| 188 |
+
<port id="1" precision="I64">
|
| 189 |
+
<dim>-1</dim>
|
| 190 |
+
<dim>2</dim>
|
| 191 |
+
</port>
|
| 192 |
+
<port id="2" precision="I32">
|
| 193 |
+
<dim>-1</dim>
|
| 194 |
+
</port>
|
| 195 |
+
</input>
|
| 196 |
+
<output>
|
| 197 |
+
<port id="3" precision="I32">
|
| 198 |
+
<dim>-1</dim>
|
| 199 |
+
<dim>-1</dim>
|
| 200 |
+
</port>
|
| 201 |
+
</output>
|
| 202 |
+
</layer>
|
| 203 |
+
<layer id="14" name="Constant_24" type="Const" version="opset1">
|
| 204 |
+
<data element_type="i32" shape="1" offset="587466" size="4" />
|
| 205 |
+
<output>
|
| 206 |
+
<port id="0" precision="I32">
|
| 207 |
+
<dim>1</dim>
|
| 208 |
+
</port>
|
| 209 |
+
</output>
|
| 210 |
+
</layer>
|
| 211 |
+
<layer id="15" name="Reverse_25" type="Reverse" version="opset1">
|
| 212 |
+
<data mode="index" />
|
| 213 |
+
<input>
|
| 214 |
+
<port id="0" precision="I32">
|
| 215 |
+
<dim>-1</dim>
|
| 216 |
+
<dim>-1</dim>
|
| 217 |
+
</port>
|
| 218 |
+
<port id="1" precision="I32">
|
| 219 |
+
<dim>1</dim>
|
| 220 |
+
</port>
|
| 221 |
+
</input>
|
| 222 |
+
<output>
|
| 223 |
+
<port id="2" precision="I32">
|
| 224 |
+
<dim>-1</dim>
|
| 225 |
+
<dim>-1</dim>
|
| 226 |
+
</port>
|
| 227 |
+
</output>
|
| 228 |
+
</layer>
|
| 229 |
+
<layer id="16" name="Reverse_25" type="Convert" version="opset1">
|
| 230 |
+
<data destination_type="i64" />
|
| 231 |
+
<input>
|
| 232 |
+
<port id="0" precision="I32">
|
| 233 |
+
<dim>-1</dim>
|
| 234 |
+
<dim>-1</dim>
|
| 235 |
+
</port>
|
| 236 |
+
</input>
|
| 237 |
+
<output>
|
| 238 |
+
<port id="1" precision="I64" names="attention_mask">
|
| 239 |
+
<dim>-1</dim>
|
| 240 |
+
<dim>-1</dim>
|
| 241 |
+
</port>
|
| 242 |
+
</output>
|
| 243 |
+
</layer>
|
| 244 |
+
<layer id="18" name="Constant_21" type="Const" version="opset1">
|
| 245 |
+
<data element_type="i32" shape="" offset="587470" size="4" />
|
| 246 |
+
<output>
|
| 247 |
+
<port id="0" precision="I32" />
|
| 248 |
+
</output>
|
| 249 |
+
</layer>
|
| 250 |
+
<layer id="19" name="Broadcast_22" type="Broadcast" version="opset3">
|
| 251 |
+
<data mode="bidirectional" />
|
| 252 |
+
<input>
|
| 253 |
+
<port id="0" precision="I32" />
|
| 254 |
+
<port id="1" precision="I64">
|
| 255 |
+
<dim>2</dim>
|
| 256 |
+
</port>
|
| 257 |
+
</input>
|
| 258 |
+
<output>
|
| 259 |
+
<port id="2" precision="I32">
|
| 260 |
+
<dim>-1</dim>
|
| 261 |
+
<dim>-1</dim>
|
| 262 |
+
</port>
|
| 263 |
+
</output>
|
| 264 |
+
</layer>
|
| 265 |
+
<layer id="20" name="ScatterNDUpdate_23" type="ScatterNDUpdate" version="opset4">
|
| 266 |
+
<input>
|
| 267 |
+
<port id="0" precision="I32">
|
| 268 |
+
<dim>-1</dim>
|
| 269 |
+
<dim>-1</dim>
|
| 270 |
+
</port>
|
| 271 |
+
<port id="1" precision="I64">
|
| 272 |
+
<dim>-1</dim>
|
| 273 |
+
<dim>2</dim>
|
| 274 |
+
</port>
|
| 275 |
+
<port id="2" precision="I32">
|
| 276 |
+
<dim>-1</dim>
|
| 277 |
+
</port>
|
| 278 |
+
</input>
|
| 279 |
+
<output>
|
| 280 |
+
<port id="3" precision="I32">
|
| 281 |
+
<dim>-1</dim>
|
| 282 |
+
<dim>-1</dim>
|
| 283 |
+
</port>
|
| 284 |
+
</output>
|
| 285 |
+
</layer>
|
| 286 |
+
<layer id="21" name="Constant_26" type="Const" version="opset1">
|
| 287 |
+
<data element_type="i32" shape="1" offset="587466" size="4" />
|
| 288 |
+
<output>
|
| 289 |
+
<port id="0" precision="I32">
|
| 290 |
+
<dim>1</dim>
|
| 291 |
+
</port>
|
| 292 |
+
</output>
|
| 293 |
+
</layer>
|
| 294 |
+
<layer id="22" name="Reverse_27" type="Reverse" version="opset1">
|
| 295 |
+
<data mode="index" />
|
| 296 |
+
<input>
|
| 297 |
+
<port id="0" precision="I32">
|
| 298 |
+
<dim>-1</dim>
|
| 299 |
+
<dim>-1</dim>
|
| 300 |
+
</port>
|
| 301 |
+
<port id="1" precision="I32">
|
| 302 |
+
<dim>1</dim>
|
| 303 |
+
</port>
|
| 304 |
+
</input>
|
| 305 |
+
<output>
|
| 306 |
+
<port id="2" precision="I32">
|
| 307 |
+
<dim>-1</dim>
|
| 308 |
+
<dim>-1</dim>
|
| 309 |
+
</port>
|
| 310 |
+
</output>
|
| 311 |
+
</layer>
|
| 312 |
+
<layer id="23" name="Reverse_27" type="Convert" version="opset1">
|
| 313 |
+
<data destination_type="i64" />
|
| 314 |
+
<input>
|
| 315 |
+
<port id="0" precision="I32">
|
| 316 |
+
<dim>-1</dim>
|
| 317 |
+
<dim>-1</dim>
|
| 318 |
+
</port>
|
| 319 |
+
</input>
|
| 320 |
+
<output>
|
| 321 |
+
<port id="1" precision="I64" names="input_ids">
|
| 322 |
+
<dim>-1</dim>
|
| 323 |
+
<dim>-1</dim>
|
| 324 |
+
</port>
|
| 325 |
+
</output>
|
| 326 |
+
</layer>
|
| 327 |
+
<layer id="24" name="Result_28" type="Result" version="opset1">
|
| 328 |
+
<input>
|
| 329 |
+
<port id="0" precision="I64">
|
| 330 |
+
<dim>-1</dim>
|
| 331 |
+
<dim>-1</dim>
|
| 332 |
+
</port>
|
| 333 |
+
</input>
|
| 334 |
+
</layer>
|
| 335 |
+
<layer id="17" name="Result_29" type="Result" version="opset1">
|
| 336 |
+
<input>
|
| 337 |
+
<port id="0" precision="I64">
|
| 338 |
+
<dim>-1</dim>
|
| 339 |
+
<dim>-1</dim>
|
| 340 |
+
</port>
|
| 341 |
+
</input>
|
| 342 |
+
</layer>
|
| 343 |
+
</layers>
|
| 344 |
+
<edges>
|
| 345 |
+
<edge from-layer="0" from-port="0" to-layer="3" to-port="0" />
|
| 346 |
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<edge from-layer="1" from-port="0" to-layer="9" to-port="0" />
|
| 347 |
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<edge from-layer="2" from-port="0" to-layer="8" to-port="0" />
|
| 348 |
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<edge from-layer="3" from-port="1" to-layer="6" to-port="0" />
|
| 349 |
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<edge from-layer="3" from-port="2" to-layer="6" to-port="1" />
|
| 350 |
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<edge from-layer="3" from-port="3" to-layer="6" to-port="2" />
|
| 351 |
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<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
|
| 352 |
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<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
|
| 353 |
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<edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
|
| 354 |
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<edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
|
| 355 |
+
<edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
|
| 356 |
+
<edge from-layer="7" from-port="3" to-layer="8" to-port="1" />
|
| 357 |
+
<edge from-layer="8" from-port="4" to-layer="9" to-port="1" />
|
| 358 |
+
<edge from-layer="8" from-port="3" to-layer="11" to-port="0" />
|
| 359 |
+
<edge from-layer="8" from-port="2" to-layer="13" to-port="1" />
|
| 360 |
+
<edge from-layer="8" from-port="4" to-layer="19" to-port="1" />
|
| 361 |
+
<edge from-layer="8" from-port="2" to-layer="20" to-port="1" />
|
| 362 |
+
<edge from-layer="8" from-port="3" to-layer="20" to-port="2" />
|
| 363 |
+
<edge from-layer="9" from-port="2" to-layer="13" to-port="0" />
|
| 364 |
+
<edge from-layer="10" from-port="0" to-layer="12" to-port="0" />
|
| 365 |
+
<edge from-layer="11" from-port="1" to-layer="12" to-port="1" />
|
| 366 |
+
<edge from-layer="12" from-port="2" to-layer="13" to-port="2" />
|
| 367 |
+
<edge from-layer="13" from-port="3" to-layer="15" to-port="0" />
|
| 368 |
+
<edge from-layer="14" from-port="0" to-layer="15" to-port="1" />
|
| 369 |
+
<edge from-layer="15" from-port="2" to-layer="16" to-port="0" />
|
| 370 |
+
<edge from-layer="16" from-port="1" to-layer="17" to-port="0" />
|
| 371 |
+
<edge from-layer="18" from-port="0" to-layer="19" to-port="0" />
|
| 372 |
+
<edge from-layer="19" from-port="2" to-layer="20" to-port="0" />
|
| 373 |
+
<edge from-layer="20" from-port="3" to-layer="22" to-port="0" />
|
| 374 |
+
<edge from-layer="21" from-port="0" to-layer="22" to-port="1" />
|
| 375 |
+
<edge from-layer="22" from-port="2" to-layer="23" to-port="0" />
|
| 376 |
+
<edge from-layer="23" from-port="1" to-layer="24" to-port="0" />
|
| 377 |
+
</edges>
|
| 378 |
+
<rt_info>
|
| 379 |
+
<bos_token_id value="1" />
|
| 380 |
+
<chat_template value="{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + ' ' + message['content'] + '<|im_end|>' + ' '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant ' }}{% endif %}" />
|
| 381 |
+
<eos_token_id value="32768" />
|
| 382 |
+
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
|
| 383 |
+
<pad_token_id value="2" />
|
| 384 |
+
</rt_info>
|
| 385 |
+
</net>
|