File size: 3,247 Bytes
8e3ab6b 41479e8 8e3ab6b 41479e8 8e3ab6b 41479e8 8e3ab6b 41479e8 8e3ab6b 41479e8 8e3ab6b 41479e8 8e3ab6b 41479e8 8e3ab6b 41479e8 8e3ab6b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 |
<?xml version="1.0"?>
<net name="detokenizer" version="11">
<layers>
<layer id="0" name="Parameter_37" type="Parameter" version="opset1">
<data shape="?,?" element_type="i64" />
<output>
<port id="0" precision="I64" names="Parameter_37">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="1" name="Constant_2" type="Const" version="opset1">
<data element_type="u8" shape="499991" offset="0" size="499991" />
<output>
<port id="0" precision="U8">
<dim>499991</dim>
</port>
</output>
</layer>
<layer id="2" name="Convert_47" type="Convert" version="opset1">
<data destination_type="i32" />
<input>
<port id="0" precision="I64">
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="3" name="SentencepieceDetokenizer_38" type="SentencepieceDetokenizer" version="extension">
<input>
<port id="0" precision="U8">
<dim>499991</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
<port id="3" precision="I32">
<dim>-1</dim>
</port>
<port id="4" precision="U8">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="4" name="StringTensorPack_39" type="StringTensorPack" version="extension">
<data mode="begins_ends" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="U8">
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="STRING" names="string_output">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="5" name="Result_40" type="Result" version="opset1">
<input>
<port id="0" precision="STRING">
<dim>-1</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
</edges>
<rt_info>
<bos_token_id value="1" />
<chat_template value="{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|> ' + message['content'] + '<|end|> '}}{% elif message['role'] == 'user' %}{{'<|user|> ' + message['content'] + '<|end|> '}}{% elif message['role'] == 'assistant' %}{{'<|assistant|> ' + message['content'] + '<|end|> '}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|> ' }}{% else %}{{ eos_token }}{% endif %}" />
<eos_token_id value="32000" />
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
<pad_token_id value="32000" />
</rt_info>
</net>
|