File size: 9,594 Bytes
803a9c2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
<?xml version="1.0"?>
<net name="detokenizer" version="11">
	<layers>
		<layer id="0" name="Parameter_161069" type="Parameter" version="opset1">
			<data shape="?,?" element_type="i64" />
			<output>
				<port id="0" precision="I64" names="Parameter_161069">
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="Convert_161091" 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="2" name="Constant_161039" type="Const" version="opset1">
			<data element_type="u8" shape="339140" offset="0" size="339140" />
			<output>
				<port id="0" precision="U8">
					<dim>339140</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="StringTensorUnpack_161040" type="StringTensorUnpack" version="extension">
			<data mode="begins_ends" />
			<input>
				<port id="0" precision="U8">
					<dim>339140</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="2" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="3" precision="U8">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="VocabDecoder_161070" type="VocabDecoder" version="extension">
			<data skip_tokens="0, 1, 32000, 32001, 32002, 32003, 32004, 32005, 32006, 32007, 32008, 32009, 32010" />
			<input>
				<port id="0" precision="I32">
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="2" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="3" precision="U8">
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="4" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="5" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="6" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="7" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="8" precision="U8">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="Constant_161072" type="Const" version="opset1">
			<data element_type="u8" shape="3" offset="339140" size="3" />
			<output>
				<port id="0" precision="U8">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="Constant_161074" type="Const" version="opset1">
			<data element_type="u8" shape="1" offset="339143" size="1" />
			<output>
				<port id="0" precision="U8">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="RegexNormalization_161075" type="RegexNormalization" version="extension">
			<data global_replace="true" />
			<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>
				<port id="3" precision="U8">
					<dim>3</dim>
				</port>
				<port id="4" precision="U8">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="6" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="7" precision="U8">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="ByteFallback_161076" type="ByteFallback" version="extension">
			<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="I32">
					<dim>-1</dim>
				</port>
				<port id="4" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="5" precision="U8">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="FuzeRagged_161077" type="FuzeRagged" version="extension">
			<input>
				<port id="0" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="2" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="3" precision="I32">
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="4" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="5" precision="I32">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="Constant_161079" type="Const" version="opset1">
			<data element_type="u8" shape="2" offset="339144" size="2" />
			<output>
				<port id="0" precision="U8">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="Constant_161081" type="Const" version="opset1">
			<data element_type="u8" shape="0" offset="339146" size="1" />
			<output>
				<port id="0" precision="U8">
					<dim>0</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="RegexNormalization_161082" type="RegexNormalization" version="extension">
			<data global_replace="true" />
			<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>
				<port id="3" precision="U8">
					<dim>2</dim>
				</port>
				<port id="4" precision="U8">
					<dim>0</dim>
				</port>
			</input>
			<output>
				<port id="5" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="6" precision="I32">
					<dim>-1</dim>
				</port>
				<port id="7" precision="U8">
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="StringTensorPack_161083" 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="14" name="Result_161084" 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="1" to-port="0" />
		<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
		<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
		<edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
		<edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
		<edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
		<edge from-layer="4" from-port="6" to-layer="7" to-port="0" />
		<edge from-layer="4" from-port="7" to-layer="7" to-port="1" />
		<edge from-layer="4" from-port="8" to-layer="7" to-port="2" />
		<edge from-layer="4" from-port="5" to-layer="9" to-port="1" />
		<edge from-layer="4" from-port="4" to-layer="9" to-port="0" />
		<edge from-layer="5" from-port="0" to-layer="7" to-port="3" />
		<edge from-layer="6" from-port="0" to-layer="7" to-port="4" />
		<edge from-layer="7" from-port="7" to-layer="8" to-port="2" />
		<edge from-layer="7" from-port="6" to-layer="8" to-port="1" />
		<edge from-layer="7" from-port="5" to-layer="8" to-port="0" />
		<edge from-layer="8" from-port="3" to-layer="9" to-port="2" />
		<edge from-layer="8" from-port="4" to-layer="9" to-port="3" />
		<edge from-layer="8" from-port="5" to-layer="12" to-port="2" />
		<edge from-layer="9" from-port="4" to-layer="12" to-port="0" />
		<edge from-layer="9" from-port="5" to-layer="12" to-port="1" />
		<edge from-layer="10" from-port="0" to-layer="12" to-port="3" />
		<edge from-layer="11" from-port="0" to-layer="12" to-port="4" />
		<edge from-layer="12" from-port="5" to-layer="13" to-port="0" />
		<edge from-layer="12" from-port="6" to-layer="13" to-port="1" />
		<edge from-layer="12" from-port="7" to-layer="13" to-port="2" />
		<edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
	</edges>
	<rt_info>
		<add_attention_mask value="True" />
		<add_prefix_space />
		<add_special_tokens value="True" />
		<bos_token_id value="1" />
		<chat_template value="{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'&lt;|system|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% elif message['role'] == 'user' %}{{'&lt;|user|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% elif message['role'] == 'assistant' %}{{'&lt;|assistant|>&#10;' + message['content'] + '&lt;|end|>&#10;'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|assistant|>&#10;' }}{% else %}{{ eos_token }}{% endif %}" />
		<clean_up_tokenization_spaces />
		<detokenizer_input_type value="i64" />
		<eos_token_id value="32000" />
		<handle_special_tokens_with_re />
		<number_of_inputs value="1" />
		<openvino_tokenizers_version value="2024.5.0.0.dev20241030" />
		<openvino_version value="2024.5.0.dev20241030" />
		<original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
		<pad_token_id value="32000" />
		<sentencepiece_version value="0.2.0" />
		<skip_special_tokens value="True" />
		<streaming_detokenizer value="False" />
		<tiktoken_version value="0.8.0" />
		<tokenizer_output_type value="i64" />
		<tokenizers_version value="0.20.1" />
		<transformers_version value="4.45.2" />
		<use_max_padding value="False" />
		<use_sentencepiece_backend value="False" />
		<utf8_replace_mode />
		<with_detokenizer value="True" />
	</rt_info>
</net>