Hugging Face's logo

llmware
/
slim-sentiment-npu-ov

OpenVINO
llama
Model card Files Community
doberst commited on
Commit
a138c81
·
verified ·
1 Parent(s): db7f009

Upload 13 files

Browse files
Files changed (13) hide show
  1. config.json +31 -0
  2. generation_config.json +7 -0
  3. openvino_config.json +28 -0
  4. openvino_detokenizer.bin +3 -0
  5. openvino_detokenizer.xml +413 -0
  6. openvino_model.bin +3 -0
  7. openvino_model.xml +0 -0
  8. openvino_tokenizer.bin +3 -0
  9. openvino_tokenizer.xml +832 -0
  10. special_tokens_map.json +23 -0
  11. tokenizer.json +0 -0
  12. tokenizer.model +3 -0
  13. tokenizer_config.json +43 -0
config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "llmware/slim-sentiment",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "head_dim": 64,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 2048,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 5632,
15
+ "max_position_embeddings": 2048,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 22,
20
+ "num_key_value_heads": 4,
21
+ "pretraining_tp": 1,
22
+ "rms_norm_eps": 1e-05,
23
+ "rope_scaling": null,
24
+ "rope_theta": 10000.0,
25
+ "tie_word_embeddings": false,
26
+ "torch_dtype": "float32",
27
+ "trained": "custom training slim-sentiment",
28
+ "transformers_version": "4.48.3",
29
+ "use_cache": true,
30
+ "vocab_size": 32000
31
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 2,
4
+ "max_length": 2048,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.48.3"
7
+ }
openvino_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "compression": null,
3
+ "dtype": "int4",
4
+ "input_info": null,
5
+ "optimum_version": "1.24.0",
6
+ "quantization_config": {
7
+ "all_layers": null,
8
+ "backup_precision": null,
9
+ "bits": 4,
10
+ "dataset": "wikitext2",
11
+ "gptq": null,
12
+ "group_size": -1,
13
+ "ignored_scope": null,
14
+ "lora_correction": null,
15
+ "num_samples": null,
16
+ "processor": null,
17
+ "quant_method": "awq",
18
+ "ratio": 1.0,
19
+ "scale_estimation": true,
20
+ "sensitivity_metric": null,
21
+ "sym": true,
22
+ "tokenizer": null,
23
+ "trust_remote_code": false,
24
+ "weight_format": "int4"
25
+ },
26
+ "save_onnx_model": false,
27
+ "transformers_version": "4.48.3"
28
+ }
openvino_detokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9f14f63332691bc4c612d6f6c629c6c547d3224dbe12a58df3bb9f6e191737d0
3
+ size 338966
openvino_detokenizer.xml ADDED
@@ -0,0 +1,413 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="detokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_820182" type="Parameter" version="opset1">
5
+ <data shape="?,?" element_type="i64" />
6
+ <output>
7
+ <port id="0" precision="I64" names="Parameter_820182">
8
+ <dim>-1</dim>
9
+ <dim>-1</dim>
10
+ </port>
11
+ </output>
12
+ </layer>
13
+ <layer id="1" name="Convert_820209" type="Convert" version="opset1">
14
+ <data destination_type="i32" />
15
+ <input>
16
+ <port id="0" precision="I64">
17
+ <dim>-1</dim>
18
+ <dim>-1</dim>
19
+ </port>
20
+ </input>
21
+ <output>
22
+ <port id="1" precision="I32">
23
+ <dim>-1</dim>
24
+ <dim>-1</dim>
25
+ </port>
26
+ </output>
27
+ </layer>
28
+ <layer id="2" name="Constant_820149" type="Const" version="opset1">
29
+ <data element_type="u8" shape="338927" offset="0" size="338927" />
30
+ <output>
31
+ <port id="0" precision="U8">
32
+ <dim>338927</dim>
33
+ </port>
34
+ </output>
35
+ </layer>
36
+ <layer id="3" name="StringTensorUnpack_820150" type="StringTensorUnpack" version="extension">
37
+ <data mode="begins_ends" />
38
+ <input>
39
+ <port id="0" precision="U8">
40
+ <dim>338927</dim>
41
+ </port>
42
+ </input>
43
+ <output>
44
+ <port id="1" precision="I32">
45
+ <dim>-1</dim>
46
+ </port>
47
+ <port id="2" precision="I32">
48
+ <dim>-1</dim>
49
+ </port>
50
+ <port id="3" precision="U8">
51
+ <dim>-1</dim>
52
+ </port>
53
+ </output>
54
+ </layer>
55
+ <layer id="4" name="Constant_820186" type="Const" version="opset1">
56
+ <data element_type="i32" shape="3" offset="338927" size="12" />
57
+ <output>
58
+ <port id="0" precision="I32">
59
+ <dim>3</dim>
60
+ </port>
61
+ </output>
62
+ </layer>
63
+ <layer id="5" name="Constant_820184" type="Const" version="opset1">
64
+ <data element_type="i32" shape="1" offset="338939" size="4" />
65
+ <output>
66
+ <port id="0" precision="I32">
67
+ <dim>1</dim>
68
+ </port>
69
+ </output>
70
+ </layer>
71
+ <layer id="6" name="Constant_820183" type="Const" version="opset1">
72
+ <data element_type="i32" shape="1" offset="338943" size="4" />
73
+ <output>
74
+ <port id="0" precision="I32">
75
+ <dim>1</dim>
76
+ </port>
77
+ </output>
78
+ </layer>
79
+ <layer id="7" name="Constant_820185" type="Const" version="opset1">
80
+ <data element_type="i32" shape="1" offset="338947" size="4" />
81
+ <output>
82
+ <port id="0" precision="I32">
83
+ <dim>1</dim>
84
+ </port>
85
+ </output>
86
+ </layer>
87
+ <layer id="8" name="Constant_820188" type="Const" version="opset1">
88
+ <data element_type="i64" shape="1" offset="338951" size="8" />
89
+ <output>
90
+ <port id="0" precision="I64">
91
+ <dim>1</dim>
92
+ </port>
93
+ </output>
94
+ </layer>
95
+ <layer id="9" name="Slice_820187" type="Slice" version="opset8">
96
+ <input>
97
+ <port id="0" precision="I32">
98
+ <dim>3</dim>
99
+ </port>
100
+ <port id="1" precision="I32">
101
+ <dim>1</dim>
102
+ </port>
103
+ <port id="2" precision="I32">
104
+ <dim>1</dim>
105
+ </port>
106
+ <port id="3" precision="I32">
107
+ <dim>1</dim>
108
+ </port>
109
+ <port id="4" precision="I64">
110
+ <dim>1</dim>
111
+ </port>
112
+ </input>
113
+ <output>
114
+ <port id="5" precision="I32">
115
+ <dim>3</dim>
116
+ </port>
117
+ </output>
118
+ </layer>
119
+ <layer id="10" name="VocabDecoder_820189" type="VocabDecoder" version="extension">
120
+ <data skip_tokens="" />
121
+ <input>
122
+ <port id="0" precision="I32">
123
+ <dim>-1</dim>
124
+ <dim>-1</dim>
125
+ </port>
126
+ <port id="1" precision="I32">
127
+ <dim>-1</dim>
128
+ </port>
129
+ <port id="2" precision="I32">
130
+ <dim>-1</dim>
131
+ </port>
132
+ <port id="3" precision="U8">
133
+ <dim>-1</dim>
134
+ </port>
135
+ <port id="4" precision="I32">
136
+ <dim>3</dim>
137
+ </port>
138
+ </input>
139
+ <output>
140
+ <port id="5" precision="I32">
141
+ <dim>-1</dim>
142
+ </port>
143
+ <port id="6" precision="I32">
144
+ <dim>-1</dim>
145
+ </port>
146
+ <port id="7" precision="I32">
147
+ <dim>-1</dim>
148
+ </port>
149
+ <port id="8" precision="I32">
150
+ <dim>-1</dim>
151
+ </port>
152
+ <port id="9" precision="U8">
153
+ <dim>-1</dim>
154
+ </port>
155
+ </output>
156
+ </layer>
157
+ <layer id="11" name="Constant_820191" type="Const" version="opset1">
158
+ <data element_type="u8" shape="3" offset="338959" size="3" />
159
+ <output>
160
+ <port id="0" precision="U8">
161
+ <dim>3</dim>
162
+ </port>
163
+ </output>
164
+ </layer>
165
+ <layer id="12" name="Constant_820193" type="Const" version="opset1">
166
+ <data element_type="u8" shape="1" offset="338962" size="1" />
167
+ <output>
168
+ <port id="0" precision="U8">
169
+ <dim>1</dim>
170
+ </port>
171
+ </output>
172
+ </layer>
173
+ <layer id="13" name="RegexNormalization_820194" type="RegexNormalization" version="extension">
174
+ <data global_replace="true" />
175
+ <input>
176
+ <port id="0" precision="I32">
177
+ <dim>-1</dim>
178
+ </port>
179
+ <port id="1" precision="I32">
180
+ <dim>-1</dim>
181
+ </port>
182
+ <port id="2" precision="U8">
183
+ <dim>-1</dim>
184
+ </port>
185
+ <port id="3" precision="U8">
186
+ <dim>3</dim>
187
+ </port>
188
+ <port id="4" precision="U8">
189
+ <dim>1</dim>
190
+ </port>
191
+ </input>
192
+ <output>
193
+ <port id="5" precision="I32">
194
+ <dim>-1</dim>
195
+ </port>
196
+ <port id="6" precision="I32">
197
+ <dim>-1</dim>
198
+ </port>
199
+ <port id="7" precision="U8">
200
+ <dim>-1</dim>
201
+ </port>
202
+ </output>
203
+ </layer>
204
+ <layer id="14" name="ByteFallback_820195" type="ByteFallback" version="extension">
205
+ <input>
206
+ <port id="0" precision="I32">
207
+ <dim>-1</dim>
208
+ </port>
209
+ <port id="1" precision="I32">
210
+ <dim>-1</dim>
211
+ </port>
212
+ <port id="2" precision="U8">
213
+ <dim>-1</dim>
214
+ </port>
215
+ </input>
216
+ <output>
217
+ <port id="3" precision="I32">
218
+ <dim>-1</dim>
219
+ </port>
220
+ <port id="4" precision="I32">
221
+ <dim>-1</dim>
222
+ </port>
223
+ <port id="5" precision="U8">
224
+ <dim>-1</dim>
225
+ </port>
226
+ </output>
227
+ </layer>
228
+ <layer id="15" name="FuzeRagged_820196" type="FuzeRagged" version="extension">
229
+ <input>
230
+ <port id="0" precision="I32">
231
+ <dim>-1</dim>
232
+ </port>
233
+ <port id="1" precision="I32">
234
+ <dim>-1</dim>
235
+ </port>
236
+ <port id="2" precision="I32">
237
+ <dim>-1</dim>
238
+ </port>
239
+ <port id="3" precision="I32">
240
+ <dim>-1</dim>
241
+ </port>
242
+ </input>
243
+ <output>
244
+ <port id="4" precision="I32">
245
+ <dim>-1</dim>
246
+ </port>
247
+ <port id="5" precision="I32">
248
+ <dim>-1</dim>
249
+ </port>
250
+ </output>
251
+ </layer>
252
+ <layer id="16" name="Constant_820198" type="Const" version="opset1">
253
+ <data element_type="u8" shape="2" offset="338963" size="2" />
254
+ <output>
255
+ <port id="0" precision="U8">
256
+ <dim>2</dim>
257
+ </port>
258
+ </output>
259
+ </layer>
260
+ <layer id="17" name="Constant_820200" type="Const" version="opset1">
261
+ <data element_type="u8" shape="0" offset="338965" size="1" />
262
+ <output>
263
+ <port id="0" precision="U8">
264
+ <dim>0</dim>
265
+ </port>
266
+ </output>
267
+ </layer>
268
+ <layer id="18" name="RegexNormalization_820201" type="RegexNormalization" version="extension">
269
+ <data global_replace="true" />
270
+ <input>
271
+ <port id="0" precision="I32">
272
+ <dim>-1</dim>
273
+ </port>
274
+ <port id="1" precision="I32">
275
+ <dim>-1</dim>
276
+ </port>
277
+ <port id="2" precision="U8">
278
+ <dim>-1</dim>
279
+ </port>
280
+ <port id="3" precision="U8">
281
+ <dim>2</dim>
282
+ </port>
283
+ <port id="4" precision="U8">
284
+ <dim>0</dim>
285
+ </port>
286
+ </input>
287
+ <output>
288
+ <port id="5" precision="I32">
289
+ <dim>-1</dim>
290
+ </port>
291
+ <port id="6" precision="I32">
292
+ <dim>-1</dim>
293
+ </port>
294
+ <port id="7" precision="U8">
295
+ <dim>-1</dim>
296
+ </port>
297
+ </output>
298
+ </layer>
299
+ <layer id="19" name="UTF8Validate_820202" type="UTF8Validate" version="extension">
300
+ <data replace_mode="true" />
301
+ <input>
302
+ <port id="0" precision="I32">
303
+ <dim>-1</dim>
304
+ </port>
305
+ <port id="1" precision="I32">
306
+ <dim>-1</dim>
307
+ </port>
308
+ <port id="2" precision="U8">
309
+ <dim>-1</dim>
310
+ </port>
311
+ </input>
312
+ <output>
313
+ <port id="3" precision="I32">
314
+ <dim>-1</dim>
315
+ </port>
316
+ <port id="4" precision="I32">
317
+ <dim>-1</dim>
318
+ </port>
319
+ <port id="5" precision="U8">
320
+ <dim>-1</dim>
321
+ </port>
322
+ </output>
323
+ </layer>
324
+ <layer id="20" name="StringTensorPack_820203" type="StringTensorPack" version="extension">
325
+ <data mode="begins_ends" />
326
+ <input>
327
+ <port id="0" precision="I32">
328
+ <dim>-1</dim>
329
+ </port>
330
+ <port id="1" precision="I32">
331
+ <dim>-1</dim>
332
+ </port>
333
+ <port id="2" precision="U8">
334
+ <dim>-1</dim>
335
+ </port>
336
+ </input>
337
+ <output>
338
+ <port id="3" precision="STRING" names="string_output">
339
+ <dim>-1</dim>
340
+ </port>
341
+ </output>
342
+ </layer>
343
+ <layer id="21" name="Result_820204" type="Result" version="opset1">
344
+ <input>
345
+ <port id="0" precision="STRING">
346
+ <dim>-1</dim>
347
+ </port>
348
+ </input>
349
+ </layer>
350
+ </layers>
351
+ <edges>
352
+ <edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
353
+ <edge from-layer="1" from-port="1" to-layer="10" to-port="0" />
354
+ <edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
355
+ <edge from-layer="3" from-port="1" to-layer="10" to-port="1" />
356
+ <edge from-layer="3" from-port="2" to-layer="10" to-port="2" />
357
+ <edge from-layer="3" from-port="3" to-layer="10" to-port="3" />
358
+ <edge from-layer="4" from-port="0" to-layer="9" to-port="0" />
359
+ <edge from-layer="5" from-port="0" to-layer="9" to-port="1" />
360
+ <edge from-layer="6" from-port="0" to-layer="9" to-port="2" />
361
+ <edge from-layer="7" from-port="0" to-layer="9" to-port="3" />
362
+ <edge from-layer="8" from-port="0" to-layer="9" to-port="4" />
363
+ <edge from-layer="9" from-port="5" to-layer="10" to-port="4" />
364
+ <edge from-layer="10" from-port="7" to-layer="13" to-port="0" />
365
+ <edge from-layer="10" from-port="8" to-layer="13" to-port="1" />
366
+ <edge from-layer="10" from-port="9" to-layer="13" to-port="2" />
367
+ <edge from-layer="10" from-port="5" to-layer="15" to-port="0" />
368
+ <edge from-layer="10" from-port="6" to-layer="15" to-port="1" />
369
+ <edge from-layer="11" from-port="0" to-layer="13" to-port="3" />
370
+ <edge from-layer="12" from-port="0" to-layer="13" to-port="4" />
371
+ <edge from-layer="13" from-port="7" to-layer="14" to-port="2" />
372
+ <edge from-layer="13" from-port="5" to-layer="14" to-port="0" />
373
+ <edge from-layer="13" from-port="6" to-layer="14" to-port="1" />
374
+ <edge from-layer="14" from-port="3" to-layer="15" to-port="2" />
375
+ <edge from-layer="14" from-port="4" to-layer="15" to-port="3" />
376
+ <edge from-layer="14" from-port="5" to-layer="18" to-port="2" />
377
+ <edge from-layer="15" from-port="4" to-layer="18" to-port="0" />
378
+ <edge from-layer="15" from-port="5" to-layer="18" to-port="1" />
379
+ <edge from-layer="16" from-port="0" to-layer="18" to-port="3" />
380
+ <edge from-layer="17" from-port="0" to-layer="18" to-port="4" />
381
+ <edge from-layer="18" from-port="5" to-layer="19" to-port="0" />
382
+ <edge from-layer="18" from-port="6" to-layer="19" to-port="1" />
383
+ <edge from-layer="18" from-port="7" to-layer="19" to-port="2" />
384
+ <edge from-layer="19" from-port="3" to-layer="20" to-port="0" />
385
+ <edge from-layer="19" from-port="4" to-layer="20" to-port="1" />
386
+ <edge from-layer="19" from-port="5" to-layer="20" to-port="2" />
387
+ <edge from-layer="20" from-port="3" to-layer="21" to-port="0" />
388
+ </edges>
389
+ <rt_info>
390
+ <add_attention_mask value="True" />
391
+ <add_prefix_space />
392
+ <add_special_tokens value="True" />
393
+ <bos_token_id value="1" />
394
+ <clean_up_tokenization_spaces />
395
+ <detokenizer_input_type value="i64" />
396
+ <eos_token_id value="2" />
397
+ <handle_special_tokens_with_re />
398
+ <number_of_inputs value="1" />
399
+ <openvino_tokenizers_version value="2025.0.0.0" />
400
+ <openvino_version value="2025.0.0" />
401
+ <original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
402
+ <sentencepiece_version value="0.2.0" />
403
+ <skip_special_tokens value="True" />
404
+ <streaming_detokenizer value="False" />
405
+ <tokenizer_output_type value="i64" />
406
+ <tokenizers_version value="0.21.0" />
407
+ <transformers_version value="4.48.3" />
408
+ <use_max_padding value="False" />
409
+ <use_sentencepiece_backend value="False" />
410
+ <utf8_replace_mode value="replace" />
411
+ <with_detokenizer value="True" />
412
+ </rt_info>
413
+ </net>
openvino_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37a920b9f2b13d191d0d68dd56252633fa96d48971e4ed8f19dac9bf5cd13313
3
+ size 616863644
openvino_model.xml ADDED
The diff for this file is too large to render. See raw diff
 
openvino_tokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be35a3c8fd3d9c259f2b7f4d7638dc323ef79b79219d52316c895355f8d7f739
3
+ size 1250972
openvino_tokenizer.xml ADDED
@@ -0,0 +1,832 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="tokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_820061" type="Parameter" version="opset1">
5
+ <data shape="?" element_type="string" />
6
+ <output>
7
+ <port id="0" precision="STRING" names="Parameter_820061">
8
+ <dim>-1</dim>
9
+ </port>
10
+ </output>
11
+ </layer>
12
+ <layer id="1" name="Constant_820166" 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_820167" type="Const" version="opset1">
19
+ <data element_type="i32" shape="" offset="4" size="4" />
20
+ <output>
21
+ <port id="0" precision="I32" />
22
+ </output>
23
+ </layer>
24
+ <layer id="3" name="Constant_820168" type="Const" version="opset1">
25
+ <data element_type="i32" shape="1" offset="4" size="4" />
26
+ <output>
27
+ <port id="0" precision="I32">
28
+ <dim>1</dim>
29
+ </port>
30
+ </output>
31
+ </layer>
32
+ <layer id="4" name="Constant_820067" type="Const" version="opset1">
33
+ <data element_type="i64" shape="" offset="8" size="8" />
34
+ <output>
35
+ <port id="0" precision="I64" />
36
+ </output>
37
+ </layer>
38
+ <layer id="5" name="StringTensorUnpack_820062" type="StringTensorUnpack" version="extension">
39
+ <data mode="begins_ends" />
40
+ <input>
41
+ <port id="0" precision="STRING">
42
+ <dim>-1</dim>
43
+ </port>
44
+ </input>
45
+ <output>
46
+ <port id="1" precision="I32">
47
+ <dim>-1</dim>
48
+ </port>
49
+ <port id="2" precision="I32">
50
+ <dim>-1</dim>
51
+ </port>
52
+ <port id="3" precision="U8">
53
+ <dim>-1</dim>
54
+ </port>
55
+ </output>
56
+ </layer>
57
+ <layer id="6" name="ShapeOf_820063" type="ShapeOf" version="opset3">
58
+ <data output_type="i64" />
59
+ <input>
60
+ <port id="0" precision="I32">
61
+ <dim>-1</dim>
62
+ </port>
63
+ </input>
64
+ <output>
65
+ <port id="1" precision="I64">
66
+ <dim>1</dim>
67
+ </port>
68
+ </output>
69
+ </layer>
70
+ <layer id="7" name="Constant_820064" type="Const" version="opset1">
71
+ <data element_type="i64" shape="" offset="8" size="8" />
72
+ <output>
73
+ <port id="0" precision="I64" />
74
+ </output>
75
+ </layer>
76
+ <layer id="8" name="Constant_820065" type="Const" version="opset1">
77
+ <data element_type="i64" shape="" offset="8" size="8" />
78
+ <output>
79
+ <port id="0" precision="I64" />
80
+ </output>
81
+ </layer>
82
+ <layer id="9" name="Gather_820066" type="Gather" version="opset8">
83
+ <data batch_dims="0" />
84
+ <input>
85
+ <port id="0" precision="I64">
86
+ <dim>1</dim>
87
+ </port>
88
+ <port id="1" precision="I64" />
89
+ <port id="2" precision="I64" />
90
+ </input>
91
+ <output>
92
+ <port id="3" precision="I64" />
93
+ </output>
94
+ </layer>
95
+ <layer id="10" name="Constant_820068" type="Const" version="opset1">
96
+ <data element_type="i64" shape="" offset="16" size="8" />
97
+ <output>
98
+ <port id="0" precision="I64" />
99
+ </output>
100
+ </layer>
101
+ <layer id="11" name="Range_820069" type="Range" version="opset4">
102
+ <data output_type="i32" />
103
+ <input>
104
+ <port id="0" precision="I64" />
105
+ <port id="1" precision="I64" />
106
+ <port id="2" precision="I64" />
107
+ </input>
108
+ <output>
109
+ <port id="3" precision="I32">
110
+ <dim>-1</dim>
111
+ </port>
112
+ </output>
113
+ </layer>
114
+ <layer id="12" name="Constant_820070" type="Const" version="opset1">
115
+ <data element_type="i64" shape="" offset="16" size="8" />
116
+ <output>
117
+ <port id="0" precision="I64" />
118
+ </output>
119
+ </layer>
120
+ <layer id="13" name="Constant_820071" type="Const" version="opset1">
121
+ <data element_type="i64" shape="" offset="16" size="8" />
122
+ <output>
123
+ <port id="0" precision="I64" />
124
+ </output>
125
+ </layer>
126
+ <layer id="14" name="Add_820072" type="Add" version="opset1">
127
+ <data auto_broadcast="numpy" />
128
+ <input>
129
+ <port id="0" precision="I64" />
130
+ <port id="1" precision="I64" />
131
+ </input>
132
+ <output>
133
+ <port id="2" precision="I64" />
134
+ </output>
135
+ </layer>
136
+ <layer id="15" name="Constant_820073" type="Const" version="opset1">
137
+ <data element_type="i64" shape="" offset="16" size="8" />
138
+ <output>
139
+ <port id="0" precision="I64" />
140
+ </output>
141
+ </layer>
142
+ <layer id="16" name="Range_820074" type="Range" version="opset4">
143
+ <data output_type="i32" />
144
+ <input>
145
+ <port id="0" precision="I64" />
146
+ <port id="1" precision="I64" />
147
+ <port id="2" precision="I64" />
148
+ </input>
149
+ <output>
150
+ <port id="3" precision="I32">
151
+ <dim>-1</dim>
152
+ </port>
153
+ </output>
154
+ </layer>
155
+ <layer id="17" name="Constant_820136" type="Const" version="opset1">
156
+ <data element_type="u8" shape="27" offset="24" size="27" />
157
+ <output>
158
+ <port id="0" precision="U8">
159
+ <dim>27</dim>
160
+ </port>
161
+ </output>
162
+ </layer>
163
+ <layer id="18" name="SpecialTokensSplit_820137" type="SpecialTokensSplit" version="extension">
164
+ <input>
165
+ <port id="0" precision="I32">
166
+ <dim>-1</dim>
167
+ </port>
168
+ <port id="1" precision="I32">
169
+ <dim>-1</dim>
170
+ </port>
171
+ <port id="2" precision="I32">
172
+ <dim>-1</dim>
173
+ </port>
174
+ <port id="3" precision="I32">
175
+ <dim>-1</dim>
176
+ </port>
177
+ <port id="4" precision="U8">
178
+ <dim>-1</dim>
179
+ </port>
180
+ <port id="5" precision="U8">
181
+ <dim>27</dim>
182
+ </port>
183
+ </input>
184
+ <output>
185
+ <port id="6" precision="I32">
186
+ <dim>-1</dim>
187
+ </port>
188
+ <port id="7" precision="I32">
189
+ <dim>-1</dim>
190
+ </port>
191
+ <port id="8" precision="I32">
192
+ <dim>-1</dim>
193
+ </port>
194
+ <port id="9" precision="I32">
195
+ <dim>-1</dim>
196
+ </port>
197
+ <port id="10" precision="U8">
198
+ <dim>-1</dim>
199
+ </port>
200
+ <port id="11" precision="BOOL">
201
+ <dim>-1</dim>
202
+ </port>
203
+ </output>
204
+ </layer>
205
+ <layer id="19" name="Constant_820139" type="Const" version="opset1">
206
+ <data element_type="u8" shape="13" offset="51" size="13" />
207
+ <output>
208
+ <port id="0" precision="U8">
209
+ <dim>13</dim>
210
+ </port>
211
+ </output>
212
+ </layer>
213
+ <layer id="20" name="Constant_820141" type="Const" version="opset1">
214
+ <data element_type="u8" shape="5" offset="64" size="5" />
215
+ <output>
216
+ <port id="0" precision="U8">
217
+ <dim>5</dim>
218
+ </port>
219
+ </output>
220
+ </layer>
221
+ <layer id="21" name="RegexNormalization_820142" type="RegexNormalization" version="extension">
222
+ <data global_replace="true" />
223
+ <input>
224
+ <port id="0" precision="I32">
225
+ <dim>-1</dim>
226
+ </port>
227
+ <port id="1" precision="I32">
228
+ <dim>-1</dim>
229
+ </port>
230
+ <port id="2" precision="U8">
231
+ <dim>-1</dim>
232
+ </port>
233
+ <port id="3" precision="BOOL">
234
+ <dim>-1</dim>
235
+ </port>
236
+ <port id="4" precision="U8">
237
+ <dim>13</dim>
238
+ </port>
239
+ <port id="5" precision="U8">
240
+ <dim>5</dim>
241
+ </port>
242
+ </input>
243
+ <output>
244
+ <port id="6" precision="I32">
245
+ <dim>-1</dim>
246
+ </port>
247
+ <port id="7" precision="I32">
248
+ <dim>-1</dim>
249
+ </port>
250
+ <port id="8" precision="U8">
251
+ <dim>-1</dim>
252
+ </port>
253
+ <port id="9" precision="BOOL">
254
+ <dim>-1</dim>
255
+ </port>
256
+ </output>
257
+ </layer>
258
+ <layer id="22" name="Constant_820144" type="Const" version="opset1">
259
+ <data element_type="u8" shape="1" offset="69" size="1" />
260
+ <output>
261
+ <port id="0" precision="U8">
262
+ <dim>1</dim>
263
+ </port>
264
+ </output>
265
+ </layer>
266
+ <layer id="23" name="Constant_820146" type="Const" version="opset1">
267
+ <data element_type="u8" shape="3" offset="70" size="3" />
268
+ <output>
269
+ <port id="0" precision="U8">
270
+ <dim>3</dim>
271
+ </port>
272
+ </output>
273
+ </layer>
274
+ <layer id="24" name="RegexNormalization_820147" type="RegexNormalization" version="extension">
275
+ <data global_replace="true" />
276
+ <input>
277
+ <port id="0" precision="I32">
278
+ <dim>-1</dim>
279
+ </port>
280
+ <port id="1" precision="I32">
281
+ <dim>-1</dim>
282
+ </port>
283
+ <port id="2" precision="U8">
284
+ <dim>-1</dim>
285
+ </port>
286
+ <port id="3" precision="BOOL">
287
+ <dim>-1</dim>
288
+ </port>
289
+ <port id="4" precision="U8">
290
+ <dim>1</dim>
291
+ </port>
292
+ <port id="5" precision="U8">
293
+ <dim>3</dim>
294
+ </port>
295
+ </input>
296
+ <output>
297
+ <port id="6" precision="I32">
298
+ <dim>-1</dim>
299
+ </port>
300
+ <port id="7" precision="I32">
301
+ <dim>-1</dim>
302
+ </port>
303
+ <port id="8" precision="U8">
304
+ <dim>-1</dim>
305
+ </port>
306
+ <port id="9" precision="BOOL">
307
+ <dim>-1</dim>
308
+ </port>
309
+ </output>
310
+ </layer>
311
+ <layer id="25" name="Constant_820149" type="Const" version="opset1">
312
+ <data element_type="u8" shape="338927" offset="73" size="338927" />
313
+ <output>
314
+ <port id="0" precision="U8">
315
+ <dim>338927</dim>
316
+ </port>
317
+ </output>
318
+ </layer>
319
+ <layer id="26" name="StringTensorUnpack_820150" type="StringTensorUnpack" version="extension">
320
+ <data mode="begins_ends" />
321
+ <input>
322
+ <port id="0" precision="U8">
323
+ <dim>338927</dim>
324
+ </port>
325
+ </input>
326
+ <output>
327
+ <port id="1" precision="I32">
328
+ <dim>-1</dim>
329
+ </port>
330
+ <port id="2" precision="I32">
331
+ <dim>-1</dim>
332
+ </port>
333
+ <port id="3" precision="U8">
334
+ <dim>-1</dim>
335
+ </port>
336
+ </output>
337
+ </layer>
338
+ <layer id="27" name="Constant_820155" type="Const" version="opset1">
339
+ <data element_type="u8" shape="499127" offset="339000" size="499127" />
340
+ <output>
341
+ <port id="0" precision="U8">
342
+ <dim>499127</dim>
343
+ </port>
344
+ </output>
345
+ </layer>
346
+ <layer id="28" name="StringTensorUnpack_820156" type="StringTensorUnpack" version="extension">
347
+ <data mode="begins_ends" />
348
+ <input>
349
+ <port id="0" precision="U8">
350
+ <dim>499127</dim>
351
+ </port>
352
+ </input>
353
+ <output>
354
+ <port id="1" precision="I32">
355
+ <dim>-1</dim>
356
+ </port>
357
+ <port id="2" precision="I32">
358
+ <dim>-1</dim>
359
+ </port>
360
+ <port id="3" precision="U8">
361
+ <dim>-1</dim>
362
+ </port>
363
+ </output>
364
+ </layer>
365
+ <layer id="29" name="Constant_820158" type="Const" version="opset1">
366
+ <data element_type="u8" shape="412810" offset="838127" size="412810" />
367
+ <output>
368
+ <port id="0" precision="U8">
369
+ <dim>412810</dim>
370
+ </port>
371
+ </output>
372
+ </layer>
373
+ <layer id="30" name="StringTensorUnpack_820159" type="StringTensorUnpack" version="extension">
374
+ <data mode="begins_ends" />
375
+ <input>
376
+ <port id="0" precision="U8">
377
+ <dim>412810</dim>
378
+ </port>
379
+ </input>
380
+ <output>
381
+ <port id="1" precision="I32">
382
+ <dim>-1</dim>
383
+ </port>
384
+ <port id="2" precision="I32">
385
+ <dim>-1</dim>
386
+ </port>
387
+ <port id="3" precision="U8">
388
+ <dim>-1</dim>
389
+ </port>
390
+ </output>
391
+ </layer>
392
+ <layer id="31" name="Constant_820152" type="Const" version="opset1">
393
+ <data element_type="u8" shape="23" offset="1250937" size="23" />
394
+ <output>
395
+ <port id="0" precision="U8">
396
+ <dim>23</dim>
397
+ </port>
398
+ </output>
399
+ </layer>
400
+ <layer id="32" name="StringTensorUnpack_820153" type="StringTensorUnpack" version="extension">
401
+ <data mode="begins_ends" />
402
+ <input>
403
+ <port id="0" precision="U8">
404
+ <dim>23</dim>
405
+ </port>
406
+ </input>
407
+ <output>
408
+ <port id="1" precision="I32">
409
+ <dim>-1</dim>
410
+ </port>
411
+ <port id="2" precision="I32">
412
+ <dim>-1</dim>
413
+ </port>
414
+ <port id="3" precision="U8">
415
+ <dim>-1</dim>
416
+ </port>
417
+ </output>
418
+ </layer>
419
+ <layer id="33" name="Constant_820160" type="Const" version="opset1">
420
+ <data element_type="i32" shape="2" offset="1250960" size="8" />
421
+ <output>
422
+ <port id="0" precision="I32">
423
+ <dim>2</dim>
424
+ </port>
425
+ </output>
426
+ </layer>
427
+ <layer id="34" name="BPETokenizer_820161" type="BPETokenizer" version="extension">
428
+ <data unk_token="&lt;unk>" fuse_unk="true" suffix_indicator="" end_suffix="" byte_fallback="true" cache_capacity="20000" />
429
+ <input>
430
+ <port id="0" precision="I32">
431
+ <dim>-1</dim>
432
+ </port>
433
+ <port id="1" precision="I32">
434
+ <dim>-1</dim>
435
+ </port>
436
+ <port id="2" precision="I32">
437
+ <dim>-1</dim>
438
+ </port>
439
+ <port id="3" precision="I32">
440
+ <dim>-1</dim>
441
+ </port>
442
+ <port id="4" precision="U8">
443
+ <dim>-1</dim>
444
+ </port>
445
+ <port id="5" precision="I32">
446
+ <dim>-1</dim>
447
+ </port>
448
+ <port id="6" precision="I32">
449
+ <dim>-1</dim>
450
+ </port>
451
+ <port id="7" precision="U8">
452
+ <dim>-1</dim>
453
+ </port>
454
+ <port id="8" precision="I32">
455
+ <dim>-1</dim>
456
+ </port>
457
+ <port id="9" precision="I32">
458
+ <dim>-1</dim>
459
+ </port>
460
+ <port id="10" precision="U8">
461
+ <dim>-1</dim>
462
+ </port>
463
+ <port id="11" precision="I32">
464
+ <dim>-1</dim>
465
+ </port>
466
+ <port id="12" precision="I32">
467
+ <dim>-1</dim>
468
+ </port>
469
+ <port id="13" precision="U8">
470
+ <dim>-1</dim>
471
+ </port>
472
+ <port id="14" precision="I32">
473
+ <dim>-1</dim>
474
+ </port>
475
+ <port id="15" precision="I32">
476
+ <dim>-1</dim>
477
+ </port>
478
+ <port id="16" precision="U8">
479
+ <dim>-1</dim>
480
+ </port>
481
+ <port id="17" precision="I32">
482
+ <dim>2</dim>
483
+ </port>
484
+ </input>
485
+ <output>
486
+ <port id="18" precision="I32">
487
+ <dim>-1</dim>
488
+ </port>
489
+ <port id="19" precision="I32">
490
+ <dim>-1</dim>
491
+ </port>
492
+ <port id="20" precision="I32">
493
+ <dim>-1</dim>
494
+ </port>
495
+ </output>
496
+ </layer>
497
+ <layer id="35" name="Subtract_820162" type="Subtract" version="opset1">
498
+ <data auto_broadcast="numpy" />
499
+ <input>
500
+ <port id="0" precision="I32">
501
+ <dim>-1</dim>
502
+ </port>
503
+ <port id="1" precision="I32">
504
+ <dim>-1</dim>
505
+ </port>
506
+ </input>
507
+ <output>
508
+ <port id="2" precision="I32">
509
+ <dim>-1</dim>
510
+ </port>
511
+ </output>
512
+ </layer>
513
+ <layer id="36" name="Constant_820163" type="Const" version="opset1">
514
+ <data element_type="i32" shape="" offset="1250968" size="4" />
515
+ <output>
516
+ <port id="0" precision="I32" />
517
+ </output>
518
+ </layer>
519
+ <layer id="37" name="Minimum_820164" type="Minimum" version="opset1">
520
+ <data auto_broadcast="numpy" />
521
+ <input>
522
+ <port id="0" precision="I32">
523
+ <dim>-1</dim>
524
+ </port>
525
+ <port id="1" precision="I32" />
526
+ </input>
527
+ <output>
528
+ <port id="2" precision="I32">
529
+ <dim>-1</dim>
530
+ </port>
531
+ </output>
532
+ </layer>
533
+ <layer id="38" name="Subtract_820165" type="Subtract" version="opset1">
534
+ <data auto_broadcast="numpy" />
535
+ <input>
536
+ <port id="0" precision="I32">
537
+ <dim>-1</dim>
538
+ </port>
539
+ <port id="1" precision="I32">
540
+ <dim>-1</dim>
541
+ </port>
542
+ </input>
543
+ <output>
544
+ <port id="2" precision="I32">
545
+ <dim>-1</dim>
546
+ </port>
547
+ </output>
548
+ </layer>
549
+ <layer id="39" name="Constant_820169" type="Const" version="opset1">
550
+ <data element_type="i32" shape="2" offset="8" size="8" />
551
+ <output>
552
+ <port id="0" precision="I32">
553
+ <dim>2</dim>
554
+ </port>
555
+ </output>
556
+ </layer>
557
+ <layer id="40" name="CombineSegments_820170" type="CombineSegments" version="extension">
558
+ <input>
559
+ <port id="0" precision="I32" />
560
+ <port id="1" precision="I32" />
561
+ <port id="2" precision="I32">
562
+ <dim>1</dim>
563
+ </port>
564
+ <port id="3" precision="I32">
565
+ <dim>-1</dim>
566
+ </port>
567
+ <port id="4" precision="I32">
568
+ <dim>-1</dim>
569
+ </port>
570
+ <port id="5" precision="I32">
571
+ <dim>-1</dim>
572
+ </port>
573
+ <port id="6" precision="I32">
574
+ <dim>2</dim>
575
+ </port>
576
+ </input>
577
+ <output>
578
+ <port id="7" precision="I32">
579
+ <dim>-1</dim>
580
+ </port>
581
+ <port id="8" precision="I32">
582
+ <dim>-1</dim>
583
+ </port>
584
+ <port id="9" precision="I32">
585
+ <dim>-1</dim>
586
+ </port>
587
+ <port id="10" precision="I32">
588
+ <dim>-1</dim>
589
+ </port>
590
+ <port id="11" precision="I32">
591
+ <dim>-1</dim>
592
+ </port>
593
+ <port id="12" precision="I32">
594
+ <dim>-1</dim>
595
+ </port>
596
+ </output>
597
+ </layer>
598
+ <layer id="41" name="Subtract_820171" type="Subtract" version="opset1">
599
+ <data auto_broadcast="numpy" />
600
+ <input>
601
+ <port id="0" precision="I32">
602
+ <dim>-1</dim>
603
+ </port>
604
+ <port id="1" precision="I32">
605
+ <dim>-1</dim>
606
+ </port>
607
+ </input>
608
+ <output>
609
+ <port id="2" precision="I32">
610
+ <dim>-1</dim>
611
+ </port>
612
+ </output>
613
+ </layer>
614
+ <layer id="42" name="Constant_820172" type="Const" version="opset1">
615
+ <data element_type="i32" shape="" offset="0" size="4" />
616
+ <output>
617
+ <port id="0" precision="I32" />
618
+ </output>
619
+ </layer>
620
+ <layer id="43" name="ReduceMax_820173" type="ReduceMax" version="opset1">
621
+ <data keep_dims="false" />
622
+ <input>
623
+ <port id="0" precision="I32">
624
+ <dim>-1</dim>
625
+ </port>
626
+ <port id="1" precision="I32" />
627
+ </input>
628
+ <output>
629
+ <port id="2" precision="I32" />
630
+ </output>
631
+ </layer>
632
+ <layer id="44" name="Constant_820174" type="Const" version="opset1">
633
+ <data element_type="i32" shape="" offset="0" size="4" />
634
+ <output>
635
+ <port id="0" precision="I32" />
636
+ </output>
637
+ </layer>
638
+ <layer id="45" name="RaggedToDense_820175" type="RaggedToDense" version="extension">
639
+ <data pad_right="false" />
640
+ <input>
641
+ <port id="0" precision="I32">
642
+ <dim>-1</dim>
643
+ </port>
644
+ <port id="1" precision="I32">
645
+ <dim>-1</dim>
646
+ </port>
647
+ <port id="2" precision="I32">
648
+ <dim>-1</dim>
649
+ </port>
650
+ <port id="3" precision="I32" />
651
+ <port id="4" precision="I32" />
652
+ </input>
653
+ <output>
654
+ <port id="5" precision="I32">
655
+ <dim>-1</dim>
656
+ <dim>-1</dim>
657
+ </port>
658
+ <port id="6" precision="BOOL">
659
+ <dim>-1</dim>
660
+ <dim>-1</dim>
661
+ </port>
662
+ </output>
663
+ </layer>
664
+ <layer id="46" name="Convert_820176" type="Convert" version="opset1">
665
+ <data destination_type="i32" />
666
+ <input>
667
+ <port id="0" precision="BOOL">
668
+ <dim>-1</dim>
669
+ <dim>-1</dim>
670
+ </port>
671
+ </input>
672
+ <output>
673
+ <port id="1" precision="I32">
674
+ <dim>-1</dim>
675
+ <dim>-1</dim>
676
+ </port>
677
+ </output>
678
+ </layer>
679
+ <layer id="47" name="Convert_820176.0" type="Convert" version="opset1">
680
+ <data destination_type="i64" />
681
+ <input>
682
+ <port id="0" precision="I32">
683
+ <dim>-1</dim>
684
+ <dim>-1</dim>
685
+ </port>
686
+ </input>
687
+ <output>
688
+ <port id="1" precision="I64" names="attention_mask">
689
+ <dim>-1</dim>
690
+ <dim>-1</dim>
691
+ </port>
692
+ </output>
693
+ </layer>
694
+ <layer id="49" name="RaggedToDense_820175.0" type="Convert" version="opset1">
695
+ <data destination_type="i64" />
696
+ <input>
697
+ <port id="0" precision="I32">
698
+ <dim>-1</dim>
699
+ <dim>-1</dim>
700
+ </port>
701
+ </input>
702
+ <output>
703
+ <port id="1" precision="I64" names="input_ids">
704
+ <dim>-1</dim>
705
+ <dim>-1</dim>
706
+ </port>
707
+ </output>
708
+ </layer>
709
+ <layer id="50" name="Result_820179" type="Result" version="opset1">
710
+ <input>
711
+ <port id="0" precision="I64">
712
+ <dim>-1</dim>
713
+ <dim>-1</dim>
714
+ </port>
715
+ </input>
716
+ </layer>
717
+ <layer id="48" name="Result_820181" type="Result" version="opset1">
718
+ <input>
719
+ <port id="0" precision="I64">
720
+ <dim>-1</dim>
721
+ <dim>-1</dim>
722
+ </port>
723
+ </input>
724
+ </layer>
725
+ </layers>
726
+ <edges>
727
+ <edge from-layer="0" from-port="0" to-layer="5" to-port="0" />
728
+ <edge from-layer="1" from-port="0" to-layer="40" to-port="0" />
729
+ <edge from-layer="2" from-port="0" to-layer="40" to-port="1" />
730
+ <edge from-layer="3" from-port="0" to-layer="40" to-port="2" />
731
+ <edge from-layer="4" from-port="0" to-layer="11" to-port="0" />
732
+ <edge from-layer="5" from-port="1" to-layer="6" to-port="0" />
733
+ <edge from-layer="5" from-port="1" to-layer="18" to-port="2" />
734
+ <edge from-layer="5" from-port="2" to-layer="18" to-port="3" />
735
+ <edge from-layer="5" from-port="3" to-layer="18" to-port="4" />
736
+ <edge from-layer="6" from-port="1" to-layer="9" to-port="0" />
737
+ <edge from-layer="7" from-port="0" to-layer="9" to-port="1" />
738
+ <edge from-layer="8" from-port="0" to-layer="9" to-port="2" />
739
+ <edge from-layer="9" from-port="3" to-layer="11" to-port="1" />
740
+ <edge from-layer="9" from-port="3" to-layer="14" to-port="0" />
741
+ <edge from-layer="10" from-port="0" to-layer="11" to-port="2" />
742
+ <edge from-layer="11" from-port="3" to-layer="18" to-port="0" />
743
+ <edge from-layer="12" from-port="0" to-layer="16" to-port="0" />
744
+ <edge from-layer="13" from-port="0" to-layer="14" to-port="1" />
745
+ <edge from-layer="14" from-port="2" to-layer="16" to-port="1" />
746
+ <edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
747
+ <edge from-layer="16" from-port="3" to-layer="18" to-port="1" />
748
+ <edge from-layer="17" from-port="0" to-layer="18" to-port="5" />
749
+ <edge from-layer="18" from-port="11" to-layer="21" to-port="3" />
750
+ <edge from-layer="18" from-port="8" to-layer="21" to-port="0" />
751
+ <edge from-layer="18" from-port="9" to-layer="21" to-port="1" />
752
+ <edge from-layer="18" from-port="10" to-layer="21" to-port="2" />
753
+ <edge from-layer="18" from-port="6" to-layer="34" to-port="0" />
754
+ <edge from-layer="18" from-port="7" to-layer="34" to-port="1" />
755
+ <edge from-layer="19" from-port="0" to-layer="21" to-port="4" />
756
+ <edge from-layer="20" from-port="0" to-layer="21" to-port="5" />
757
+ <edge from-layer="21" from-port="9" to-layer="24" to-port="3" />
758
+ <edge from-layer="21" from-port="6" to-layer="24" to-port="0" />
759
+ <edge from-layer="21" from-port="7" to-layer="24" to-port="1" />
760
+ <edge from-layer="21" from-port="8" to-layer="24" to-port="2" />
761
+ <edge from-layer="22" from-port="0" to-layer="24" to-port="4" />
762
+ <edge from-layer="23" from-port="0" to-layer="24" to-port="5" />
763
+ <edge from-layer="24" from-port="6" to-layer="34" to-port="2" />
764
+ <edge from-layer="24" from-port="7" to-layer="34" to-port="3" />
765
+ <edge from-layer="24" from-port="8" to-layer="34" to-port="4" />
766
+ <edge from-layer="25" from-port="0" to-layer="26" to-port="0" />
767
+ <edge from-layer="26" from-port="1" to-layer="34" to-port="5" />
768
+ <edge from-layer="26" from-port="2" to-layer="34" to-port="6" />
769
+ <edge from-layer="26" from-port="3" to-layer="34" to-port="7" />
770
+ <edge from-layer="27" from-port="0" to-layer="28" to-port="0" />
771
+ <edge from-layer="28" from-port="2" to-layer="34" to-port="9" />
772
+ <edge from-layer="28" from-port="3" to-layer="34" to-port="10" />
773
+ <edge from-layer="28" from-port="1" to-layer="34" to-port="8" />
774
+ <edge from-layer="29" from-port="0" to-layer="30" to-port="0" />
775
+ <edge from-layer="30" from-port="1" to-layer="34" to-port="11" />
776
+ <edge from-layer="30" from-port="2" to-layer="34" to-port="12" />
777
+ <edge from-layer="30" from-port="3" to-layer="34" to-port="13" />
778
+ <edge from-layer="31" from-port="0" to-layer="32" to-port="0" />
779
+ <edge from-layer="32" from-port="1" to-layer="34" to-port="14" />
780
+ <edge from-layer="32" from-port="2" to-layer="34" to-port="15" />
781
+ <edge from-layer="32" from-port="3" to-layer="34" to-port="16" />
782
+ <edge from-layer="33" from-port="0" to-layer="34" to-port="17" />
783
+ <edge from-layer="34" from-port="19" to-layer="35" to-port="0" />
784
+ <edge from-layer="34" from-port="18" to-layer="35" to-port="1" />
785
+ <edge from-layer="34" from-port="19" to-layer="40" to-port="4" />
786
+ <edge from-layer="34" from-port="20" to-layer="40" to-port="5" />
787
+ <edge from-layer="34" from-port="19" to-layer="38" to-port="0" />
788
+ <edge from-layer="35" from-port="2" to-layer="37" to-port="0" />
789
+ <edge from-layer="36" from-port="0" to-layer="37" to-port="1" />
790
+ <edge from-layer="37" from-port="2" to-layer="38" to-port="1" />
791
+ <edge from-layer="38" from-port="2" to-layer="40" to-port="3" />
792
+ <edge from-layer="39" from-port="0" to-layer="40" to-port="6" />
793
+ <edge from-layer="40" from-port="8" to-layer="41" to-port="0" />
794
+ <edge from-layer="40" from-port="7" to-layer="41" to-port="1" />
795
+ <edge from-layer="40" from-port="7" to-layer="45" to-port="0" />
796
+ <edge from-layer="40" from-port="8" to-layer="45" to-port="1" />
797
+ <edge from-layer="40" from-port="9" to-layer="45" to-port="2" />
798
+ <edge from-layer="41" from-port="2" to-layer="43" to-port="0" />
799
+ <edge from-layer="42" from-port="0" to-layer="43" to-port="1" />
800
+ <edge from-layer="43" from-port="2" to-layer="45" to-port="3" />
801
+ <edge from-layer="44" from-port="0" to-layer="45" to-port="4" />
802
+ <edge from-layer="45" from-port="6" to-layer="46" to-port="0" />
803
+ <edge from-layer="45" from-port="5" to-layer="49" to-port="0" />
804
+ <edge from-layer="46" from-port="1" to-layer="47" to-port="0" />
805
+ <edge from-layer="47" from-port="1" to-layer="48" to-port="0" />
806
+ <edge from-layer="49" from-port="1" to-layer="50" to-port="0" />
807
+ </edges>
808
+ <rt_info>
809
+ <add_attention_mask value="True" />
810
+ <add_prefix_space />
811
+ <add_special_tokens value="True" />
812
+ <bos_token_id value="1" />
813
+ <clean_up_tokenization_spaces />
814
+ <detokenizer_input_type value="i64" />
815
+ <eos_token_id value="2" />
816
+ <handle_special_tokens_with_re />
817
+ <number_of_inputs value="1" />
818
+ <openvino_tokenizers_version value="2025.0.0.0" />
819
+ <openvino_version value="2025.0.0" />
820
+ <original_tokenizer_class value="&lt;class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
821
+ <sentencepiece_version value="0.2.0" />
822
+ <skip_special_tokens value="True" />
823
+ <streaming_detokenizer value="False" />
824
+ <tokenizer_output_type value="i64" />
825
+ <tokenizers_version value="0.21.0" />
826
+ <transformers_version value="4.48.3" />
827
+ <use_max_padding value="False" />
828
+ <use_sentencepiece_backend value="False" />
829
+ <utf8_replace_mode value="replace" />
830
+ <with_detokenizer value="True" />
831
+ </rt_info>
832
+ </net>
special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "unk_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "extra_special_tokens": {},
35
+ "legacy": false,
36
+ "model_max_length": 1000000000000000019884624838656,
37
+ "pad_token": null,
38
+ "padding_side": "right",
39
+ "sp_model_kwargs": {},
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }