Hugging Face's logo

unitreerobotics
/
UnifoLM-VLM-Base

Robotics
Safetensors
qwen2_5_vl
Model card Files
xet
 Community
hjx1995 commited on
Commit
c57b8a3
·
verified ·
1 Parent(s): cc80939

Upload folder using huggingface_hub

Browse files
Files changed (16) hide show
  1. added_tokens.json +420 -0
  2. chat_template.jinja +7 -0
  3. config.json +135 -0
  4. generation_config.json +13 -0
  5. merges.txt +0 -0
  6. model-00001-of-00004.safetensors +3 -0
  7. model-00002-of-00004.safetensors +3 -0
  8. model-00003-of-00004.safetensors +3 -0
  9. model-00004-of-00004.safetensors +3 -0
  10. model.safetensors.index.json +737 -0
  11. preprocessor_config.json +29 -0
  12. special_tokens_map.json +31 -0
  13. tokenizer_config.json +3377 -0
  14. video_preprocessor_config.json +44 -0
  15. vocab.json +0 -0
  16. zero_to_fp32.py +760 -0
added_tokens.json ADDED
@@ -0,0 +1,420 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<ACTION_0>": 151665,
4
+ "<ACTION_100>": 151765,
5
+ "<ACTION_101>": 151766,
6
+ "<ACTION_102>": 151767,
7
+ "<ACTION_103>": 151768,
8
+ "<ACTION_104>": 151769,
9
+ "<ACTION_105>": 151770,
10
+ "<ACTION_106>": 151771,
11
+ "<ACTION_107>": 151772,
12
+ "<ACTION_108>": 151773,
13
+ "<ACTION_109>": 151774,
14
+ "<ACTION_10>": 151675,
15
+ "<ACTION_110>": 151775,
16
+ "<ACTION_111>": 151776,
17
+ "<ACTION_112>": 151777,
18
+ "<ACTION_113>": 151778,
19
+ "<ACTION_114>": 151779,
20
+ "<ACTION_115>": 151780,
21
+ "<ACTION_116>": 151781,
22
+ "<ACTION_117>": 151782,
23
+ "<ACTION_118>": 151783,
24
+ "<ACTION_119>": 151784,
25
+ "<ACTION_11>": 151676,
26
+ "<ACTION_120>": 151785,
27
+ "<ACTION_121>": 151786,
28
+ "<ACTION_122>": 151787,
29
+ "<ACTION_123>": 151788,
30
+ "<ACTION_124>": 151789,
31
+ "<ACTION_125>": 151790,
32
+ "<ACTION_126>": 151791,
33
+ "<ACTION_127>": 151792,
34
+ "<ACTION_128>": 151793,
35
+ "<ACTION_129>": 151794,
36
+ "<ACTION_12>": 151677,
37
+ "<ACTION_130>": 151795,
38
+ "<ACTION_131>": 151796,
39
+ "<ACTION_132>": 151797,
40
+ "<ACTION_133>": 151798,
41
+ "<ACTION_134>": 151799,
42
+ "<ACTION_135>": 151800,
43
+ "<ACTION_136>": 151801,
44
+ "<ACTION_137>": 151802,
45
+ "<ACTION_138>": 151803,
46
+ "<ACTION_139>": 151804,
47
+ "<ACTION_13>": 151678,
48
+ "<ACTION_140>": 151805,
49
+ "<ACTION_141>": 151806,
50
+ "<ACTION_142>": 151807,
51
+ "<ACTION_143>": 151808,
52
+ "<ACTION_144>": 151809,
53
+ "<ACTION_145>": 151810,
54
+ "<ACTION_146>": 151811,
55
+ "<ACTION_147>": 151812,
56
+ "<ACTION_148>": 151813,
57
+ "<ACTION_149>": 151814,
58
+ "<ACTION_14>": 151679,
59
+ "<ACTION_150>": 151815,
60
+ "<ACTION_151>": 151816,
61
+ "<ACTION_152>": 151817,
62
+ "<ACTION_153>": 151818,
63
+ "<ACTION_154>": 151819,
64
+ "<ACTION_155>": 151820,
65
+ "<ACTION_156>": 151821,
66
+ "<ACTION_157>": 151822,
67
+ "<ACTION_158>": 151823,
68
+ "<ACTION_159>": 151824,
69
+ "<ACTION_15>": 151680,
70
+ "<ACTION_160>": 151825,
71
+ "<ACTION_161>": 151826,
72
+ "<ACTION_162>": 151827,
73
+ "<ACTION_163>": 151828,
74
+ "<ACTION_164>": 151829,
75
+ "<ACTION_165>": 151830,
76
+ "<ACTION_166>": 151831,
77
+ "<ACTION_167>": 151832,
78
+ "<ACTION_168>": 151833,
79
+ "<ACTION_169>": 151834,
80
+ "<ACTION_16>": 151681,
81
+ "<ACTION_170>": 151835,
82
+ "<ACTION_171>": 151836,
83
+ "<ACTION_172>": 151837,
84
+ "<ACTION_173>": 151838,
85
+ "<ACTION_174>": 151839,
86
+ "<ACTION_175>": 151840,
87
+ "<ACTION_176>": 151841,
88
+ "<ACTION_177>": 151842,
89
+ "<ACTION_178>": 151843,
90
+ "<ACTION_179>": 151844,
91
+ "<ACTION_17>": 151682,
92
+ "<ACTION_180>": 151845,
93
+ "<ACTION_181>": 151846,
94
+ "<ACTION_182>": 151847,
95
+ "<ACTION_183>": 151848,
96
+ "<ACTION_184>": 151849,
97
+ "<ACTION_185>": 151850,
98
+ "<ACTION_186>": 151851,
99
+ "<ACTION_187>": 151852,
100
+ "<ACTION_188>": 151853,
101
+ "<ACTION_189>": 151854,
102
+ "<ACTION_18>": 151683,
103
+ "<ACTION_190>": 151855,
104
+ "<ACTION_191>": 151856,
105
+ "<ACTION_192>": 151857,
106
+ "<ACTION_193>": 151858,
107
+ "<ACTION_194>": 151859,
108
+ "<ACTION_195>": 151860,
109
+ "<ACTION_196>": 151861,
110
+ "<ACTION_197>": 151862,
111
+ "<ACTION_198>": 151863,
112
+ "<ACTION_199>": 151864,
113
+ "<ACTION_19>": 151684,
114
+ "<ACTION_1>": 151666,
115
+ "<ACTION_200>": 151865,
116
+ "<ACTION_201>": 151866,
117
+ "<ACTION_202>": 151867,
118
+ "<ACTION_203>": 151868,
119
+ "<ACTION_204>": 151869,
120
+ "<ACTION_205>": 151870,
121
+ "<ACTION_206>": 151871,
122
+ "<ACTION_207>": 151872,
123
+ "<ACTION_208>": 151873,
124
+ "<ACTION_209>": 151874,
125
+ "<ACTION_20>": 151685,
126
+ "<ACTION_210>": 151875,
127
+ "<ACTION_211>": 151876,
128
+ "<ACTION_212>": 151877,
129
+ "<ACTION_213>": 151878,
130
+ "<ACTION_214>": 151879,
131
+ "<ACTION_215>": 151880,
132
+ "<ACTION_216>": 151881,
133
+ "<ACTION_217>": 151882,
134
+ "<ACTION_218>": 151883,
135
+ "<ACTION_219>": 151884,
136
+ "<ACTION_21>": 151686,
137
+ "<ACTION_220>": 151885,
138
+ "<ACTION_221>": 151886,
139
+ "<ACTION_222>": 151887,
140
+ "<ACTION_223>": 151888,
141
+ "<ACTION_224>": 151889,
142
+ "<ACTION_225>": 151890,
143
+ "<ACTION_226>": 151891,
144
+ "<ACTION_227>": 151892,
145
+ "<ACTION_228>": 151893,
146
+ "<ACTION_229>": 151894,
147
+ "<ACTION_22>": 151687,
148
+ "<ACTION_230>": 151895,
149
+ "<ACTION_231>": 151896,
150
+ "<ACTION_232>": 151897,
151
+ "<ACTION_233>": 151898,
152
+ "<ACTION_234>": 151899,
153
+ "<ACTION_235>": 151900,
154
+ "<ACTION_236>": 151901,
155
+ "<ACTION_237>": 151902,
156
+ "<ACTION_238>": 151903,
157
+ "<ACTION_239>": 151904,
158
+ "<ACTION_23>": 151688,
159
+ "<ACTION_240>": 151905,
160
+ "<ACTION_241>": 151906,
161
+ "<ACTION_242>": 151907,
162
+ "<ACTION_243>": 151908,
163
+ "<ACTION_244>": 151909,
164
+ "<ACTION_245>": 151910,
165
+ "<ACTION_246>": 151911,
166
+ "<ACTION_247>": 151912,
167
+ "<ACTION_248>": 151913,
168
+ "<ACTION_249>": 151914,
169
+ "<ACTION_24>": 151689,
170
+ "<ACTION_250>": 151915,
171
+ "<ACTION_251>": 151916,
172
+ "<ACTION_252>": 151917,
173
+ "<ACTION_253>": 151918,
174
+ "<ACTION_254>": 151919,
175
+ "<ACTION_255>": 151920,
176
+ "<ACTION_25>": 151690,
177
+ "<ACTION_26>": 151691,
178
+ "<ACTION_27>": 151692,
179
+ "<ACTION_28>": 151693,
180
+ "<ACTION_29>": 151694,
181
+ "<ACTION_2>": 151667,
182
+ "<ACTION_30>": 151695,
183
+ "<ACTION_31>": 151696,
184
+ "<ACTION_32>": 151697,
185
+ "<ACTION_33>": 151698,
186
+ "<ACTION_34>": 151699,
187
+ "<ACTION_35>": 151700,
188
+ "<ACTION_36>": 151701,
189
+ "<ACTION_37>": 151702,
190
+ "<ACTION_38>": 151703,
191
+ "<ACTION_39>": 151704,
192
+ "<ACTION_3>": 151668,
193
+ "<ACTION_40>": 151705,
194
+ "<ACTION_41>": 151706,
195
+ "<ACTION_42>": 151707,
196
+ "<ACTION_43>": 151708,
197
+ "<ACTION_44>": 151709,
198
+ "<ACTION_45>": 151710,
199
+ "<ACTION_46>": 151711,
200
+ "<ACTION_47>": 151712,
201
+ "<ACTION_48>": 151713,
202
+ "<ACTION_49>": 151714,
203
+ "<ACTION_4>": 151669,
204
+ "<ACTION_50>": 151715,
205
+ "<ACTION_51>": 151716,
206
+ "<ACTION_52>": 151717,
207
+ "<ACTION_53>": 151718,
208
+ "<ACTION_54>": 151719,
209
+ "<ACTION_55>": 151720,
210
+ "<ACTION_56>": 151721,
211
+ "<ACTION_57>": 151722,
212
+ "<ACTION_58>": 151723,
213
+ "<ACTION_59>": 151724,
214
+ "<ACTION_5>": 151670,
215
+ "<ACTION_60>": 151725,
216
+ "<ACTION_61>": 151726,
217
+ "<ACTION_62>": 151727,
218
+ "<ACTION_63>": 151728,
219
+ "<ACTION_64>": 151729,
220
+ "<ACTION_65>": 151730,
221
+ "<ACTION_66>": 151731,
222
+ "<ACTION_67>": 151732,
223
+ "<ACTION_68>": 151733,
224
+ "<ACTION_69>": 151734,
225
+ "<ACTION_6>": 151671,
226
+ "<ACTION_70>": 151735,
227
+ "<ACTION_71>": 151736,
228
+ "<ACTION_72>": 151737,
229
+ "<ACTION_73>": 151738,
230
+ "<ACTION_74>": 151739,
231
+ "<ACTION_75>": 151740,
232
+ "<ACTION_76>": 151741,
233
+ "<ACTION_77>": 151742,
234
+ "<ACTION_78>": 151743,
235
+ "<ACTION_79>": 151744,
236
+ "<ACTION_7>": 151672,
237
+ "<ACTION_80>": 151745,
238
+ "<ACTION_81>": 151746,
239
+ "<ACTION_82>": 151747,
240
+ "<ACTION_83>": 151748,
241
+ "<ACTION_84>": 151749,
242
+ "<ACTION_85>": 151750,
243
+ "<ACTION_86>": 151751,
244
+ "<ACTION_87>": 151752,
245
+ "<ACTION_88>": 151753,
246
+ "<ACTION_89>": 151754,
247
+ "<ACTION_8>": 151673,
248
+ "<ACTION_90>": 151755,
249
+ "<ACTION_91>": 151756,
250
+ "<ACTION_92>": 151757,
251
+ "<ACTION_93>": 151758,
252
+ "<ACTION_94>": 151759,
253
+ "<ACTION_95>": 151760,
254
+ "<ACTION_96>": 151761,
255
+ "<ACTION_97>": 151762,
256
+ "<ACTION_98>": 151763,
257
+ "<ACTION_99>": 151764,
258
+ "<ACTION_9>": 151674,
259
+ "<bgripper>": 152059,
260
+ "<bjoint>": 152053,
261
+ "<bpos>": 152055,
262
+ "<brpy>": 152057,
263
+ "<bstate>": 152051,
264
+ "<egripper>": 152060,
265
+ "<ejoint>": 152054,
266
+ "<epos>": 152056,
267
+ "<erpy>": 152058,
268
+ "<estate>": 152052,
269
+ "<seg000>": 151922,
270
+ "<seg001>": 151923,
271
+ "<seg002>": 151924,
272
+ "<seg003>": 151925,
273
+ "<seg004>": 151926,
274
+ "<seg005>": 151927,
275
+ "<seg006>": 151928,
276
+ "<seg007>": 151929,
277
+ "<seg008>": 151930,
278
+ "<seg009>": 151931,
279
+ "<seg010>": 151932,
280
+ "<seg011>": 151933,
281
+ "<seg012>": 151934,
282
+ "<seg013>": 151935,
283
+ "<seg014>": 151936,
284
+ "<seg015>": 151937,
285
+ "<seg016>": 151938,
286
+ "<seg017>": 151939,
287
+ "<seg018>": 151940,
288
+ "<seg019>": 151941,
289
+ "<seg020>": 151942,
290
+ "<seg021>": 151943,
291
+ "<seg022>": 151944,
292
+ "<seg023>": 151945,
293
+ "<seg024>": 151946,
294
+ "<seg025>": 151947,
295
+ "<seg026>": 151948,
296
+ "<seg027>": 151949,
297
+ "<seg028>": 151950,
298
+ "<seg029>": 151951,
299
+ "<seg030>": 151952,
300
+ "<seg031>": 151953,
301
+ "<seg032>": 151954,
302
+ "<seg033>": 151955,
303
+ "<seg034>": 151956,
304
+ "<seg035>": 151957,
305
+ "<seg036>": 151958,
306
+ "<seg037>": 151959,
307
+ "<seg038>": 151960,
308
+ "<seg039>": 151961,
309
+ "<seg040>": 151962,
310
+ "<seg041>": 151963,
311
+ "<seg042>": 151964,
312
+ "<seg043>": 151965,
313
+ "<seg044>": 151966,
314
+ "<seg045>": 151967,
315
+ "<seg046>": 151968,
316
+ "<seg047>": 151969,
317
+ "<seg048>": 151970,
318
+ "<seg049>": 151971,
319
+ "<seg050>": 151972,
320
+ "<seg051>": 151973,
321
+ "<seg052>": 151974,
322
+ "<seg053>": 151975,
323
+ "<seg054>": 151976,
324
+ "<seg055>": 151977,
325
+ "<seg056>": 151978,
326
+ "<seg057>": 151979,
327
+ "<seg058>": 151980,
328
+ "<seg059>": 151981,
329
+ "<seg060>": 151982,
330
+ "<seg061>": 151983,
331
+ "<seg062>": 151984,
332
+ "<seg063>": 151985,
333
+ "<seg064>": 151986,
334
+ "<seg065>": 151987,
335
+ "<seg066>": 151988,
336
+ "<seg067>": 151989,
337
+ "<seg068>": 151990,
338
+ "<seg069>": 151991,
339
+ "<seg070>": 151992,
340
+ "<seg071>": 151993,
341
+ "<seg072>": 151994,
342
+ "<seg073>": 151995,
343
+ "<seg074>": 151996,
344
+ "<seg075>": 151997,
345
+ "<seg076>": 151998,
346
+ "<seg077>": 151999,
347
+ "<seg078>": 152000,
348
+ "<seg079>": 152001,
349
+ "<seg080>": 152002,
350
+ "<seg081>": 152003,
351
+ "<seg082>": 152004,
352
+ "<seg083>": 152005,
353
+ "<seg084>": 152006,
354
+ "<seg085>": 152007,
355
+ "<seg086>": 152008,
356
+ "<seg087>": 152009,
357
+ "<seg088>": 152010,
358
+ "<seg089>": 152011,
359
+ "<seg090>": 152012,
360
+ "<seg091>": 152013,
361
+ "<seg092>": 152014,
362
+ "<seg093>": 152015,
363
+ "<seg094>": 152016,
364
+ "<seg095>": 152017,
365
+ "<seg096>": 152018,
366
+ "<seg097>": 152019,
367
+ "<seg098>": 152020,
368
+ "<seg099>": 152021,
369
+ "<seg100>": 152022,
370
+ "<seg101>": 152023,
371
+ "<seg102>": 152024,
372
+ "<seg103>": 152025,
373
+ "<seg104>": 152026,
374
+ "<seg105>": 152027,
375
+ "<seg106>": 152028,
376
+ "<seg107>": 152029,
377
+ "<seg108>": 152030,
378
+ "<seg109>": 152031,
379
+ "<seg110>": 152032,
380
+ "<seg111>": 152033,
381
+ "<seg112>": 152034,
382
+ "<seg113>": 152035,
383
+ "<seg114>": 152036,
384
+ "<seg115>": 152037,
385
+ "<seg116>": 152038,
386
+ "<seg117>": 152039,
387
+ "<seg118>": 152040,
388
+ "<seg119>": 152041,
389
+ "<seg120>": 152042,
390
+ "<seg121>": 152043,
391
+ "<seg122>": 152044,
392
+ "<seg123>": 152045,
393
+ "<seg124>": 152046,
394
+ "<seg125>": 152047,
395
+ "<seg126>": 152048,
396
+ "<seg127>": 152049,
397
+ "<seg_begin>": 151921,
398
+ "<seg_end>": 152050,
399
+ "<tool_call>": 151657,
400
+ "<|box_end|>": 151649,
401
+ "<|box_start|>": 151648,
402
+ "<|endoftext|>": 151643,
403
+ "<|file_sep|>": 151664,
404
+ "<|fim_middle|>": 151660,
405
+ "<|fim_pad|>": 151662,
406
+ "<|fim_prefix|>": 151659,
407
+ "<|fim_suffix|>": 151661,
408
+ "<|im_end|>": 151645,
409
+ "<|im_start|>": 151644,
410
+ "<|image_pad|>": 151655,
411
+ "<|object_ref_end|>": 151647,
412
+ "<|object_ref_start|>": 151646,
413
+ "<|quad_end|>": 151651,
414
+ "<|quad_start|>": 151650,
415
+ "<|repo_name|>": 151663,
416
+ "<|video_pad|>": 151656,
417
+ "<|vision_end|>": 151653,
418
+ "<|vision_pad|>": 151654,
419
+ "<|vision_start|>": 151652
420
+ }
chat_template.jinja ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
2
+ You are a helpful assistant.<|im_end|>
3
+ {% endif %}<|im_start|>{{ message['role'] }}
4
+ {% if message['content'] is string %}{{ message['content'] }}<|im_end|>
5
+ {% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
6
+ {% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
7
+ {% endif %}
config.json ADDED
@@ -0,0 +1,135 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2_5_VLForConditionalGeneration"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "image_token_id": 151655,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 128000,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2_5_vl",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "pad_token_id": 151643,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_scaling": {
22
+ "mrope_section": [
23
+ 16,
24
+ 24,
25
+ 24
26
+ ],
27
+ "rope_type": "default",
28
+ "type": "default"
29
+ },
30
+ "rope_theta": 1000000.0,
31
+ "sliding_window": 32768,
32
+ "text_config": {
33
+ "architectures": [
34
+ "Qwen2_5_VLForConditionalGeneration"
35
+ ],
36
+ "attention_dropout": 0.0,
37
+ "bos_token_id": 151643,
38
+ "dtype": "bfloat16",
39
+ "eos_token_id": 151645,
40
+ "hidden_act": "silu",
41
+ "hidden_size": 3584,
42
+ "image_token_id": null,
43
+ "initializer_range": 0.02,
44
+ "intermediate_size": 18944,
45
+ "layer_types": [
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention",
51
+ "full_attention",
52
+ "full_attention",
53
+ "full_attention",
54
+ "full_attention",
55
+ "full_attention",
56
+ "full_attention",
57
+ "full_attention",
58
+ "full_attention",
59
+ "full_attention",
60
+ "full_attention",
61
+ "full_attention",
62
+ "full_attention",
63
+ "full_attention",
64
+ "full_attention",
65
+ "full_attention",
66
+ "full_attention",
67
+ "full_attention",
68
+ "full_attention",
69
+ "full_attention",
70
+ "full_attention",
71
+ "full_attention",
72
+ "full_attention",
73
+ "full_attention"
74
+ ],
75
+ "max_position_embeddings": 128000,
76
+ "max_window_layers": 28,
77
+ "model_type": "qwen2_5_vl_text",
78
+ "num_attention_heads": 28,
79
+ "num_hidden_layers": 28,
80
+ "num_key_value_heads": 4,
81
+ "rms_norm_eps": 1e-06,
82
+ "rope_scaling": {
83
+ "mrope_section": [
84
+ 16,
85
+ 24,
86
+ 24
87
+ ],
88
+ "rope_type": "default",
89
+ "type": "default"
90
+ },
91
+ "rope_theta": 1000000.0,
92
+ "sliding_window": null,
93
+ "use_cache": false,
94
+ "use_sliding_window": false,
95
+ "video_token_id": null,
96
+ "vision_end_token_id": 151653,
97
+ "vision_start_token_id": 151652,
98
+ "vision_token_id": 151654,
99
+ "vocab_size": 152064
100
+ },
101
+ "tie_word_embeddings": false,
102
+ "transformers_version": "4.56.0.dev0",
103
+ "use_cache": false,
104
+ "use_sliding_window": false,
105
+ "video_token_id": 151656,
106
+ "vision_config": {
107
+ "depth": 32,
108
+ "dtype": "bfloat16",
109
+ "fullatt_block_indexes": [
110
+ 7,
111
+ 15,
112
+ 23,
113
+ 31
114
+ ],
115
+ "hidden_act": "silu",
116
+ "hidden_size": 1280,
117
+ "in_channels": 3,
118
+ "in_chans": 3,
119
+ "initializer_range": 0.02,
120
+ "intermediate_size": 3420,
121
+ "model_type": "qwen2_5_vl",
122
+ "num_heads": 16,
123
+ "out_hidden_size": 3584,
124
+ "patch_size": 14,
125
+ "spatial_merge_size": 2,
126
+ "spatial_patch_size": 14,
127
+ "temporal_patch_size": 2,
128
+ "tokens_per_second": 2,
129
+ "window_size": 112
130
+ },
131
+ "vision_end_token_id": 151653,
132
+ "vision_start_token_id": 151652,
133
+ "vision_token_id": 151654,
134
+ "vocab_size": 152064
135
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151643
6
+ ],
7
+ "pad_token_id": 151643,
8
+ "repetition_penalty": 1.05,
9
+ "temperature": 0.1,
10
+ "top_k": 1,
11
+ "top_p": 0.001,
12
+ "transformers_version": "4.56.0.dev0"
13
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54944ac05f3918fc242fb0fd1f0d69668bcaa393821a525d4f06c781d8375384
3
+ size 4968243304
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f1364ffc11e991c115c13883d7c27dfe44b5690fcc44022a4f1b3fe366bc73f
3
+ size 4991495816
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:282a932bc3c3f39d99b8c0b563463d89ca2365ac411624d387c0fb7c86cfc8bc
3
+ size 4932751040
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:515c8a9c33c832031c6536b73c6431e442244630a29c6260383a2d0b833269e9
3
+ size 1691924384
model.safetensors.index.json ADDED
@@ -0,0 +1,737 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 8292166656,
4
+ "total_size": 16584333312
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
284
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
286
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
287
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
289
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
296
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
298
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
299
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
300
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
301
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
303
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
304
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
306
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
308
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
309
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
310
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
311
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
312
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
313
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
315
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
316
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
318
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
320
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
327
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
328
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
330
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
332
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
344
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
345
+ "model.norm.weight": "model-00004-of-00004.safetensors",
346
+ "visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
347
+ "visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
348
+ "visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
349
+ "visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
350
+ "visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
351
+ "visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
352
+ "visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
353
+ "visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
354
+ "visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
355
+ "visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
356
+ "visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
357
+ "visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
358
+ "visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
359
+ "visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
360
+ "visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
361
+ "visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
362
+ "visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
363
+ "visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
364
+ "visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
365
+ "visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
366
+ "visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
367
+ "visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
368
+ "visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
369
+ "visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
370
+ "visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
371
+ "visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
372
+ "visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
373
+ "visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
374
+ "visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
375
+ "visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
376
+ "visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
377
+ "visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
378
+ "visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
379
+ "visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
380
+ "visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
381
+ "visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
382
+ "visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
383
+ "visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
384
+ "visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
385
+ "visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
386
+ "visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
387
+ "visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
388
+ "visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
389
+ "visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
390
+ "visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
391
+ "visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
392
+ "visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
393
+ "visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
394
+ "visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
395
+ "visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
396
+ "visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
397
+ "visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
398
+ "visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
399
+ "visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
400
+ "visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
401
+ "visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
402
+ "visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
403
+ "visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
404
+ "visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
405
+ "visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
406
+ "visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
407
+ "visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
408
+ "visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
409
+ "visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
410
+ "visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
411
+ "visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
412
+ "visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
413
+ "visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
414
+ "visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
415
+ "visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
416
+ "visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
417
+ "visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
418
+ "visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
419
+ "visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
420
+ "visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
421
+ "visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
422
+ "visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
423
+ "visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
424
+ "visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
425
+ "visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
426
+ "visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
427
+ "visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
428
+ "visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
429
+ "visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
430
+ "visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
431
+ "visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
432
+ "visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
433
+ "visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
434
+ "visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
435
+ "visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
436
+ "visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
437
+ "visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
438
+ "visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
439
+ "visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
440
+ "visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
441
+ "visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
442
+ "visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
443
+ "visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
444
+ "visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
445
+ "visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
446
+ "visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
447
+ "visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
448
+ "visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
449
+ "visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
450
+ "visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
451
+ "visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
452
+ "visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
453
+ "visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
454
+ "visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
455
+ "visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
456
+ "visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
457
+ "visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
458
+ "visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
459
+ "visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
460
+ "visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
461
+ "visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
462
+ "visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
463
+ "visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
464
+ "visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
465
+ "visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
466
+ "visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
467
+ "visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
468
+ "visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
469
+ "visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
470
+ "visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
471
+ "visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
472
+ "visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
473
+ "visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
474
+ "visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
475
+ "visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
476
+ "visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
477
+ "visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
478
+ "visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
479
+ "visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
480
+ "visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
481
+ "visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
482
+ "visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
483
+ "visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
484
+ "visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
485
+ "visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
486
+ "visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
487
+ "visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
488
+ "visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
489
+ "visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
490
+ "visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
491
+ "visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
492
+ "visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
493
+ "visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
494
+ "visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
495
+ "visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
496
+ "visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
497
+ "visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
498
+ "visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
499
+ "visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
500
+ "visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
501
+ "visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
502
+ "visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
503
+ "visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
504
+ "visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
505
+ "visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
506
+ "visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
507
+ "visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
508
+ "visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
509
+ "visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
510
+ "visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
511
+ "visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
512
+ "visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
513
+ "visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
514
+ "visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
515
+ "visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
516
+ "visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
517
+ "visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
518
+ "visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
519
+ "visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
520
+ "visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
521
+ "visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
522
+ "visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
523
+ "visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
524
+ "visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
525
+ "visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
526
+ "visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
527
+ "visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
528
+ "visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
529
+ "visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
530
+ "visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
531
+ "visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
532
+ "visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
533
+ "visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
534
+ "visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
535
+ "visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
536
+ "visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
537
+ "visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
538
+ "visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
539
+ "visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
540
+ "visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
541
+ "visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
542
+ "visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
543
+ "visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
544
+ "visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
545
+ "visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
546
+ "visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
547
+ "visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
548
+ "visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
549
+ "visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
550
+ "visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
551
+ "visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
552
+ "visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
553
+ "visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
554
+ "visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
555
+ "visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
556
+ "visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
557
+ "visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
558
+ "visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
559
+ "visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
560
+ "visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
561
+ "visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
562
+ "visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
563
+ "visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
564
+ "visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
565
+ "visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
566
+ "visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
567
+ "visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
568
+ "visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
569
+ "visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
570
+ "visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
571
+ "visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
572
+ "visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
573
+ "visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
574
+ "visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
575
+ "visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
576
+ "visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
577
+ "visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
578
+ "visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
579
+ "visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
580
+ "visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
581
+ "visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
582
+ "visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
583
+ "visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
584
+ "visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
585
+ "visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
586
+ "visual.blocks.27.attn.proj.bias": "model-00001-of-00004.safetensors",
587
+ "visual.blocks.27.attn.proj.weight": "model-00001-of-00004.safetensors",
588
+ "visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
589
+ "visual.blocks.27.attn.qkv.weight": "model-00001-of-00004.safetensors",
590
+ "visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
591
+ "visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
592
+ "visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
593
+ "visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
594
+ "visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
595
+ "visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
596
+ "visual.blocks.27.norm1.weight": "model-00001-of-00004.safetensors",
597
+ "visual.blocks.27.norm2.weight": "model-00001-of-00004.safetensors",
598
+ "visual.blocks.28.attn.proj.bias": "model-00001-of-00004.safetensors",
599
+ "visual.blocks.28.attn.proj.weight": "model-00001-of-00004.safetensors",
600
+ "visual.blocks.28.attn.qkv.bias": "model-00001-of-00004.safetensors",
601
+ "visual.blocks.28.attn.qkv.weight": "model-00001-of-00004.safetensors",
602
+ "visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
603
+ "visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
604
+ "visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
605
+ "visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
606
+ "visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
607
+ "visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
608
+ "visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
609
+ "visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
610
+ "visual.blocks.29.attn.proj.bias": "model-00001-of-00004.safetensors",
611
+ "visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
612
+ "visual.blocks.29.attn.qkv.bias": "model-00001-of-00004.safetensors",
613
+ "visual.blocks.29.attn.qkv.weight": "model-00001-of-00004.safetensors",
614
+ "visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
615
+ "visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
616
+ "visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
617
+ "visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
618
+ "visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
619
+ "visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
620
+ "visual.blocks.29.norm1.weight": "model-00001-of-00004.safetensors",
621
+ "visual.blocks.29.norm2.weight": "model-00001-of-00004.safetensors",
622
+ "visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
623
+ "visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
624
+ "visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
625
+ "visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
626
+ "visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
627
+ "visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
628
+ "visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
629
+ "visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
630
+ "visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
631
+ "visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
632
+ "visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
633
+ "visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
634
+ "visual.blocks.30.attn.proj.bias": "model-00001-of-00004.safetensors",
635
+ "visual.blocks.30.attn.proj.weight": "model-00001-of-00004.safetensors",
636
+ "visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
637
+ "visual.blocks.30.attn.qkv.weight": "model-00001-of-00004.safetensors",
638
+ "visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
639
+ "visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
640
+ "visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
641
+ "visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
642
+ "visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
643
+ "visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
644
+ "visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
645
+ "visual.blocks.30.norm2.weight": "model-00001-of-00004.safetensors",
646
+ "visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
647
+ "visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
648
+ "visual.blocks.31.attn.qkv.bias": "model-00001-of-00004.safetensors",
649
+ "visual.blocks.31.attn.qkv.weight": "model-00001-of-00004.safetensors",
650
+ "visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
651
+ "visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
652
+ "visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
653
+ "visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
654
+ "visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
655
+ "visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
656
+ "visual.blocks.31.norm1.weight": "model-00001-of-00004.safetensors",
657
+ "visual.blocks.31.norm2.weight": "model-00001-of-00004.safetensors",
658
+ "visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
659
+ "visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
660
+ "visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
661
+ "visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
662
+ "visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
663
+ "visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
664
+ "visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
665
+ "visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
666
+ "visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
667
+ "visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
668
+ "visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
669
+ "visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
670
+ "visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
671
+ "visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
672
+ "visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
673
+ "visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
674
+ "visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
675
+ "visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
676
+ "visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
677
+ "visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
678
+ "visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
679
+ "visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
680
+ "visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
681
+ "visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
682
+ "visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
683
+ "visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
684
+ "visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
685
+ "visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
686
+ "visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
687
+ "visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
688
+ "visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
689
+ "visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
690
+ "visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
691
+ "visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
692
+ "visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
693
+ "visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
694
+ "visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
695
+ "visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
696
+ "visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
697
+ "visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
698
+ "visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
699
+ "visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
700
+ "visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
701
+ "visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
702
+ "visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
703
+ "visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
704
+ "visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
705
+ "visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
706
+ "visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
707
+ "visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
708
+ "visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
709
+ "visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
710
+ "visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
711
+ "visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
712
+ "visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
713
+ "visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
714
+ "visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
715
+ "visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
716
+ "visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
717
+ "visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
718
+ "visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
719
+ "visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
720
+ "visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
721
+ "visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
722
+ "visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
723
+ "visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
724
+ "visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
725
+ "visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
726
+ "visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
727
+ "visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
728
+ "visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
729
+ "visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
730
+ "visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
731
+ "visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
732
+ "visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
733
+ "visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
734
+ "visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
735
+ "visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
736
+ }
737
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": true,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.48145466,
8
+ 0.4578275,
9
+ 0.40821073
10
+ ],
11
+ "image_processor_type": "Qwen2VLImageProcessor",
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "max_pixels": 12845056,
18
+ "merge_size": 2,
19
+ "min_pixels": 3136,
20
+ "patch_size": 14,
21
+ "processor_class": "Qwen2_5_VLProcessor",
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "longest_edge": 12845056,
26
+ "shortest_edge": 3136
27
+ },
28
+ "temporal_patch_size": 2
29
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,3377 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<ACTION_0>",
183
+ "lstrip": false,
184
+ "normalized": true,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "<ACTION_1>",
191
+ "lstrip": false,
192
+ "normalized": true,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<ACTION_2>",
199
+ "lstrip": false,
200
+ "normalized": true,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "<ACTION_3>",
207
+ "lstrip": false,
208
+ "normalized": true,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "151669": {
214
+ "content": "<ACTION_4>",
215
+ "lstrip": false,
216
+ "normalized": true,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "151670": {
222
+ "content": "<ACTION_5>",
223
+ "lstrip": false,
224
+ "normalized": true,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "151671": {
230
+ "content": "<ACTION_6>",
231
+ "lstrip": false,
232
+ "normalized": true,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "151672": {
238
+ "content": "<ACTION_7>",
239
+ "lstrip": false,
240
+ "normalized": true,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "151673": {
246
+ "content": "<ACTION_8>",
247
+ "lstrip": false,
248
+ "normalized": true,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "151674": {
254
+ "content": "<ACTION_9>",
255
+ "lstrip": false,
256
+ "normalized": true,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "151675": {
262
+ "content": "<ACTION_10>",
263
+ "lstrip": false,
264
+ "normalized": true,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "151676": {
270
+ "content": "<ACTION_11>",
271
+ "lstrip": false,
272
+ "normalized": true,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "151677": {
278
+ "content": "<ACTION_12>",
279
+ "lstrip": false,
280
+ "normalized": true,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "151678": {
286
+ "content": "<ACTION_13>",
287
+ "lstrip": false,
288
+ "normalized": true,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "151679": {
294
+ "content": "<ACTION_14>",
295
+ "lstrip": false,
296
+ "normalized": true,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "151680": {
302
+ "content": "<ACTION_15>",
303
+ "lstrip": false,
304
+ "normalized": true,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "151681": {
310
+ "content": "<ACTION_16>",
311
+ "lstrip": false,
312
+ "normalized": true,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ },
317
+ "151682": {
318
+ "content": "<ACTION_17>",
319
+ "lstrip": false,
320
+ "normalized": true,
321
+ "rstrip": false,
322
+ "single_word": false,
323
+ "special": false
324
+ },
325
+ "151683": {
326
+ "content": "<ACTION_18>",
327
+ "lstrip": false,
328
+ "normalized": true,
329
+ "rstrip": false,
330
+ "single_word": false,
331
+ "special": false
332
+ },
333
+ "151684": {
334
+ "content": "<ACTION_19>",
335
+ "lstrip": false,
336
+ "normalized": true,
337
+ "rstrip": false,
338
+ "single_word": false,
339
+ "special": false
340
+ },
341
+ "151685": {
342
+ "content": "<ACTION_20>",
343
+ "lstrip": false,
344
+ "normalized": true,
345
+ "rstrip": false,
346
+ "single_word": false,
347
+ "special": false
348
+ },
349
+ "151686": {
350
+ "content": "<ACTION_21>",
351
+ "lstrip": false,
352
+ "normalized": true,
353
+ "rstrip": false,
354
+ "single_word": false,
355
+ "special": false
356
+ },
357
+ "151687": {
358
+ "content": "<ACTION_22>",
359
+ "lstrip": false,
360
+ "normalized": true,
361
+ "rstrip": false,
362
+ "single_word": false,
363
+ "special": false
364
+ },
365
+ "151688": {
366
+ "content": "<ACTION_23>",
367
+ "lstrip": false,
368
+ "normalized": true,
369
+ "rstrip": false,
370
+ "single_word": false,
371
+ "special": false
372
+ },
373
+ "151689": {
374
+ "content": "<ACTION_24>",
375
+ "lstrip": false,
376
+ "normalized": true,
377
+ "rstrip": false,
378
+ "single_word": false,
379
+ "special": false
380
+ },
381
+ "151690": {
382
+ "content": "<ACTION_25>",
383
+ "lstrip": false,
384
+ "normalized": true,
385
+ "rstrip": false,
386
+ "single_word": false,
387
+ "special": false
388
+ },
389
+ "151691": {
390
+ "content": "<ACTION_26>",
391
+ "lstrip": false,
392
+ "normalized": true,
393
+ "rstrip": false,
394
+ "single_word": false,
395
+ "special": false
396
+ },
397
+ "151692": {
398
+ "content": "<ACTION_27>",
399
+ "lstrip": false,
400
+ "normalized": true,
401
+ "rstrip": false,
402
+ "single_word": false,
403
+ "special": false
404
+ },
405
+ "151693": {
406
+ "content": "<ACTION_28>",
407
+ "lstrip": false,
408
+ "normalized": true,
409
+ "rstrip": false,
410
+ "single_word": false,
411
+ "special": false
412
+ },
413
+ "151694": {
414
+ "content": "<ACTION_29>",
415
+ "lstrip": false,
416
+ "normalized": true,
417
+ "rstrip": false,
418
+ "single_word": false,
419
+ "special": false
420
+ },
421
+ "151695": {
422
+ "content": "<ACTION_30>",
423
+ "lstrip": false,
424
+ "normalized": true,
425
+ "rstrip": false,
426
+ "single_word": false,
427
+ "special": false
428
+ },
429
+ "151696": {
430
+ "content": "<ACTION_31>",
431
+ "lstrip": false,
432
+ "normalized": true,
433
+ "rstrip": false,
434
+ "single_word": false,
435
+ "special": false
436
+ },
437
+ "151697": {
438
+ "content": "<ACTION_32>",
439
+ "lstrip": false,
440
+ "normalized": true,
441
+ "rstrip": false,
442
+ "single_word": false,
443
+ "special": false
444
+ },
445
+ "151698": {
446
+ "content": "<ACTION_33>",
447
+ "lstrip": false,
448
+ "normalized": true,
449
+ "rstrip": false,
450
+ "single_word": false,
451
+ "special": false
452
+ },
453
+ "151699": {
454
+ "content": "<ACTION_34>",
455
+ "lstrip": false,
456
+ "normalized": true,
457
+ "rstrip": false,
458
+ "single_word": false,
459
+ "special": false
460
+ },
461
+ "151700": {
462
+ "content": "<ACTION_35>",
463
+ "lstrip": false,
464
+ "normalized": true,
465
+ "rstrip": false,
466
+ "single_word": false,
467
+ "special": false
468
+ },
469
+ "151701": {
470
+ "content": "<ACTION_36>",
471
+ "lstrip": false,
472
+ "normalized": true,
473
+ "rstrip": false,
474
+ "single_word": false,
475
+ "special": false
476
+ },
477
+ "151702": {
478
+ "content": "<ACTION_37>",
479
+ "lstrip": false,
480
+ "normalized": true,
481
+ "rstrip": false,
482
+ "single_word": false,
483
+ "special": false
484
+ },
485
+ "151703": {
486
+ "content": "<ACTION_38>",
487
+ "lstrip": false,
488
+ "normalized": true,
489
+ "rstrip": false,
490
+ "single_word": false,
491
+ "special": false
492
+ },
493
+ "151704": {
494
+ "content": "<ACTION_39>",
495
+ "lstrip": false,
496
+ "normalized": true,
497
+ "rstrip": false,
498
+ "single_word": false,
499
+ "special": false
500
+ },
501
+ "151705": {
502
+ "content": "<ACTION_40>",
503
+ "lstrip": false,
504
+ "normalized": true,
505
+ "rstrip": false,
506
+ "single_word": false,
507
+ "special": false
508
+ },
509
+ "151706": {
510
+ "content": "<ACTION_41>",
511
+ "lstrip": false,
512
+ "normalized": true,
513
+ "rstrip": false,
514
+ "single_word": false,
515
+ "special": false
516
+ },
517
+ "151707": {
518
+ "content": "<ACTION_42>",
519
+ "lstrip": false,
520
+ "normalized": true,
521
+ "rstrip": false,
522
+ "single_word": false,
523
+ "special": false
524
+ },
525
+ "151708": {
526
+ "content": "<ACTION_43>",
527
+ "lstrip": false,
528
+ "normalized": true,
529
+ "rstrip": false,
530
+ "single_word": false,
531
+ "special": false
532
+ },
533
+ "151709": {
534
+ "content": "<ACTION_44>",
535
+ "lstrip": false,
536
+ "normalized": true,
537
+ "rstrip": false,
538
+ "single_word": false,
539
+ "special": false
540
+ },
541
+ "151710": {
542
+ "content": "<ACTION_45>",
543
+ "lstrip": false,
544
+ "normalized": true,
545
+ "rstrip": false,
546
+ "single_word": false,
547
+ "special": false
548
+ },
549
+ "151711": {
550
+ "content": "<ACTION_46>",
551
+ "lstrip": false,
552
+ "normalized": true,
553
+ "rstrip": false,
554
+ "single_word": false,
555
+ "special": false
556
+ },
557
+ "151712": {
558
+ "content": "<ACTION_47>",
559
+ "lstrip": false,
560
+ "normalized": true,
561
+ "rstrip": false,
562
+ "single_word": false,
563
+ "special": false
564
+ },
565
+ "151713": {
566
+ "content": "<ACTION_48>",
567
+ "lstrip": false,
568
+ "normalized": true,
569
+ "rstrip": false,
570
+ "single_word": false,
571
+ "special": false
572
+ },
573
+ "151714": {
574
+ "content": "<ACTION_49>",
575
+ "lstrip": false,
576
+ "normalized": true,
577
+ "rstrip": false,
578
+ "single_word": false,
579
+ "special": false
580
+ },
581
+ "151715": {
582
+ "content": "<ACTION_50>",
583
+ "lstrip": false,
584
+ "normalized": true,
585
+ "rstrip": false,
586
+ "single_word": false,
587
+ "special": false
588
+ },
589
+ "151716": {
590
+ "content": "<ACTION_51>",
591
+ "lstrip": false,
592
+ "normalized": true,
593
+ "rstrip": false,
594
+ "single_word": false,
595
+ "special": false
596
+ },
597
+ "151717": {
598
+ "content": "<ACTION_52>",
599
+ "lstrip": false,
600
+ "normalized": true,
601
+ "rstrip": false,
602
+ "single_word": false,
603
+ "special": false
604
+ },
605
+ "151718": {
606
+ "content": "<ACTION_53>",
607
+ "lstrip": false,
608
+ "normalized": true,
609
+ "rstrip": false,
610
+ "single_word": false,
611
+ "special": false
612
+ },
613
+ "151719": {
614
+ "content": "<ACTION_54>",
615
+ "lstrip": false,
616
+ "normalized": true,
617
+ "rstrip": false,
618
+ "single_word": false,
619
+ "special": false
620
+ },
621
+ "151720": {
622
+ "content": "<ACTION_55>",
623
+ "lstrip": false,
624
+ "normalized": true,
625
+ "rstrip": false,
626
+ "single_word": false,
627
+ "special": false
628
+ },
629
+ "151721": {
630
+ "content": "<ACTION_56>",
631
+ "lstrip": false,
632
+ "normalized": true,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": false
636
+ },
637
+ "151722": {
638
+ "content": "<ACTION_57>",
639
+ "lstrip": false,
640
+ "normalized": true,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": false
644
+ },
645
+ "151723": {
646
+ "content": "<ACTION_58>",
647
+ "lstrip": false,
648
+ "normalized": true,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": false
652
+ },
653
+ "151724": {
654
+ "content": "<ACTION_59>",
655
+ "lstrip": false,
656
+ "normalized": true,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": false
660
+ },
661
+ "151725": {
662
+ "content": "<ACTION_60>",
663
+ "lstrip": false,
664
+ "normalized": true,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": false
668
+ },
669
+ "151726": {
670
+ "content": "<ACTION_61>",
671
+ "lstrip": false,
672
+ "normalized": true,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": false
676
+ },
677
+ "151727": {
678
+ "content": "<ACTION_62>",
679
+ "lstrip": false,
680
+ "normalized": true,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": false
684
+ },
685
+ "151728": {
686
+ "content": "<ACTION_63>",
687
+ "lstrip": false,
688
+ "normalized": true,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": false
692
+ },
693
+ "151729": {
694
+ "content": "<ACTION_64>",
695
+ "lstrip": false,
696
+ "normalized": true,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": false
700
+ },
701
+ "151730": {
702
+ "content": "<ACTION_65>",
703
+ "lstrip": false,
704
+ "normalized": true,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": false
708
+ },
709
+ "151731": {
710
+ "content": "<ACTION_66>",
711
+ "lstrip": false,
712
+ "normalized": true,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": false
716
+ },
717
+ "151732": {
718
+ "content": "<ACTION_67>",
719
+ "lstrip": false,
720
+ "normalized": true,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": false
724
+ },
725
+ "151733": {
726
+ "content": "<ACTION_68>",
727
+ "lstrip": false,
728
+ "normalized": true,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": false
732
+ },
733
+ "151734": {
734
+ "content": "<ACTION_69>",
735
+ "lstrip": false,
736
+ "normalized": true,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": false
740
+ },
741
+ "151735": {
742
+ "content": "<ACTION_70>",
743
+ "lstrip": false,
744
+ "normalized": true,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": false
748
+ },
749
+ "151736": {
750
+ "content": "<ACTION_71>",
751
+ "lstrip": false,
752
+ "normalized": true,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": false
756
+ },
757
+ "151737": {
758
+ "content": "<ACTION_72>",
759
+ "lstrip": false,
760
+ "normalized": true,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": false
764
+ },
765
+ "151738": {
766
+ "content": "<ACTION_73>",
767
+ "lstrip": false,
768
+ "normalized": true,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": false
772
+ },
773
+ "151739": {
774
+ "content": "<ACTION_74>",
775
+ "lstrip": false,
776
+ "normalized": true,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": false
780
+ },
781
+ "151740": {
782
+ "content": "<ACTION_75>",
783
+ "lstrip": false,
784
+ "normalized": true,
785
+ "rstrip": false,
786
+ "single_word": false,
787
+ "special": false
788
+ },
789
+ "151741": {
790
+ "content": "<ACTION_76>",
791
+ "lstrip": false,
792
+ "normalized": true,
793
+ "rstrip": false,
794
+ "single_word": false,
795
+ "special": false
796
+ },
797
+ "151742": {
798
+ "content": "<ACTION_77>",
799
+ "lstrip": false,
800
+ "normalized": true,
801
+ "rstrip": false,
802
+ "single_word": false,
803
+ "special": false
804
+ },
805
+ "151743": {
806
+ "content": "<ACTION_78>",
807
+ "lstrip": false,
808
+ "normalized": true,
809
+ "rstrip": false,
810
+ "single_word": false,
811
+ "special": false
812
+ },
813
+ "151744": {
814
+ "content": "<ACTION_79>",
815
+ "lstrip": false,
816
+ "normalized": true,
817
+ "rstrip": false,
818
+ "single_word": false,
819
+ "special": false
820
+ },
821
+ "151745": {
822
+ "content": "<ACTION_80>",
823
+ "lstrip": false,
824
+ "normalized": true,
825
+ "rstrip": false,
826
+ "single_word": false,
827
+ "special": false
828
+ },
829
+ "151746": {
830
+ "content": "<ACTION_81>",
831
+ "lstrip": false,
832
+ "normalized": true,
833
+ "rstrip": false,
834
+ "single_word": false,
835
+ "special": false
836
+ },
837
+ "151747": {
838
+ "content": "<ACTION_82>",
839
+ "lstrip": false,
840
+ "normalized": true,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
844
+ },
845
+ "151748": {
846
+ "content": "<ACTION_83>",
847
+ "lstrip": false,
848
+ "normalized": true,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ },
853
+ "151749": {
854
+ "content": "<ACTION_84>",
855
+ "lstrip": false,
856
+ "normalized": true,
857
+ "rstrip": false,
858
+ "single_word": false,
859
+ "special": false
860
+ },
861
+ "151750": {
862
+ "content": "<ACTION_85>",
863
+ "lstrip": false,
864
+ "normalized": true,
865
+ "rstrip": false,
866
+ "single_word": false,
867
+ "special": false
868
+ },
869
+ "151751": {
870
+ "content": "<ACTION_86>",
871
+ "lstrip": false,
872
+ "normalized": true,
873
+ "rstrip": false,
874
+ "single_word": false,
875
+ "special": false
876
+ },
877
+ "151752": {
878
+ "content": "<ACTION_87>",
879
+ "lstrip": false,
880
+ "normalized": true,
881
+ "rstrip": false,
882
+ "single_word": false,
883
+ "special": false
884
+ },
885
+ "151753": {
886
+ "content": "<ACTION_88>",
887
+ "lstrip": false,
888
+ "normalized": true,
889
+ "rstrip": false,
890
+ "single_word": false,
891
+ "special": false
892
+ },
893
+ "151754": {
894
+ "content": "<ACTION_89>",
895
+ "lstrip": false,
896
+ "normalized": true,
897
+ "rstrip": false,
898
+ "single_word": false,
899
+ "special": false
900
+ },
901
+ "151755": {
902
+ "content": "<ACTION_90>",
903
+ "lstrip": false,
904
+ "normalized": true,
905
+ "rstrip": false,
906
+ "single_word": false,
907
+ "special": false
908
+ },
909
+ "151756": {
910
+ "content": "<ACTION_91>",
911
+ "lstrip": false,
912
+ "normalized": true,
913
+ "rstrip": false,
914
+ "single_word": false,
915
+ "special": false
916
+ },
917
+ "151757": {
918
+ "content": "<ACTION_92>",
919
+ "lstrip": false,
920
+ "normalized": true,
921
+ "rstrip": false,
922
+ "single_word": false,
923
+ "special": false
924
+ },
925
+ "151758": {
926
+ "content": "<ACTION_93>",
927
+ "lstrip": false,
928
+ "normalized": true,
929
+ "rstrip": false,
930
+ "single_word": false,
931
+ "special": false
932
+ },
933
+ "151759": {
934
+ "content": "<ACTION_94>",
935
+ "lstrip": false,
936
+ "normalized": true,
937
+ "rstrip": false,
938
+ "single_word": false,
939
+ "special": false
940
+ },
941
+ "151760": {
942
+ "content": "<ACTION_95>",
943
+ "lstrip": false,
944
+ "normalized": true,
945
+ "rstrip": false,
946
+ "single_word": false,
947
+ "special": false
948
+ },
949
+ "151761": {
950
+ "content": "<ACTION_96>",
951
+ "lstrip": false,
952
+ "normalized": true,
953
+ "rstrip": false,
954
+ "single_word": false,
955
+ "special": false
956
+ },
957
+ "151762": {
958
+ "content": "<ACTION_97>",
959
+ "lstrip": false,
960
+ "normalized": true,
961
+ "rstrip": false,
962
+ "single_word": false,
963
+ "special": false
964
+ },
965
+ "151763": {
966
+ "content": "<ACTION_98>",
967
+ "lstrip": false,
968
+ "normalized": true,
969
+ "rstrip": false,
970
+ "single_word": false,
971
+ "special": false
972
+ },
973
+ "151764": {
974
+ "content": "<ACTION_99>",
975
+ "lstrip": false,
976
+ "normalized": true,
977
+ "rstrip": false,
978
+ "single_word": false,
979
+ "special": false
980
+ },
981
+ "151765": {
982
+ "content": "<ACTION_100>",
983
+ "lstrip": false,
984
+ "normalized": true,
985
+ "rstrip": false,
986
+ "single_word": false,
987
+ "special": false
988
+ },
989
+ "151766": {
990
+ "content": "<ACTION_101>",
991
+ "lstrip": false,
992
+ "normalized": true,
993
+ "rstrip": false,
994
+ "single_word": false,
995
+ "special": false
996
+ },
997
+ "151767": {
998
+ "content": "<ACTION_102>",
999
+ "lstrip": false,
1000
+ "normalized": true,
1001
+ "rstrip": false,
1002
+ "single_word": false,
1003
+ "special": false
1004
+ },
1005
+ "151768": {
1006
+ "content": "<ACTION_103>",
1007
+ "lstrip": false,
1008
+ "normalized": true,
1009
+ "rstrip": false,
1010
+ "single_word": false,
1011
+ "special": false
1012
+ },
1013
+ "151769": {
1014
+ "content": "<ACTION_104>",
1015
+ "lstrip": false,
1016
+ "normalized": true,
1017
+ "rstrip": false,
1018
+ "single_word": false,
1019
+ "special": false
1020
+ },
1021
+ "151770": {
1022
+ "content": "<ACTION_105>",
1023
+ "lstrip": false,
1024
+ "normalized": true,
1025
+ "rstrip": false,
1026
+ "single_word": false,
1027
+ "special": false
1028
+ },
1029
+ "151771": {
1030
+ "content": "<ACTION_106>",
1031
+ "lstrip": false,
1032
+ "normalized": true,
1033
+ "rstrip": false,
1034
+ "single_word": false,
1035
+ "special": false
1036
+ },
1037
+ "151772": {
1038
+ "content": "<ACTION_107>",
1039
+ "lstrip": false,
1040
+ "normalized": true,
1041
+ "rstrip": false,
1042
+ "single_word": false,
1043
+ "special": false
1044
+ },
1045
+ "151773": {
1046
+ "content": "<ACTION_108>",
1047
+ "lstrip": false,
1048
+ "normalized": true,
1049
+ "rstrip": false,
1050
+ "single_word": false,
1051
+ "special": false
1052
+ },
1053
+ "151774": {
1054
+ "content": "<ACTION_109>",
1055
+ "lstrip": false,
1056
+ "normalized": true,
1057
+ "rstrip": false,
1058
+ "single_word": false,
1059
+ "special": false
1060
+ },
1061
+ "151775": {
1062
+ "content": "<ACTION_110>",
1063
+ "lstrip": false,
1064
+ "normalized": true,
1065
+ "rstrip": false,
1066
+ "single_word": false,
1067
+ "special": false
1068
+ },
1069
+ "151776": {
1070
+ "content": "<ACTION_111>",
1071
+ "lstrip": false,
1072
+ "normalized": true,
1073
+ "rstrip": false,
1074
+ "single_word": false,
1075
+ "special": false
1076
+ },
1077
+ "151777": {
1078
+ "content": "<ACTION_112>",
1079
+ "lstrip": false,
1080
+ "normalized": true,
1081
+ "rstrip": false,
1082
+ "single_word": false,
1083
+ "special": false
1084
+ },
1085
+ "151778": {
1086
+ "content": "<ACTION_113>",
1087
+ "lstrip": false,
1088
+ "normalized": true,
1089
+ "rstrip": false,
1090
+ "single_word": false,
1091
+ "special": false
1092
+ },
1093
+ "151779": {
1094
+ "content": "<ACTION_114>",
1095
+ "lstrip": false,
1096
+ "normalized": true,
1097
+ "rstrip": false,
1098
+ "single_word": false,
1099
+ "special": false
1100
+ },
1101
+ "151780": {
1102
+ "content": "<ACTION_115>",
1103
+ "lstrip": false,
1104
+ "normalized": true,
1105
+ "rstrip": false,
1106
+ "single_word": false,
1107
+ "special": false
1108
+ },
1109
+ "151781": {
1110
+ "content": "<ACTION_116>",
1111
+ "lstrip": false,
1112
+ "normalized": true,
1113
+ "rstrip": false,
1114
+ "single_word": false,
1115
+ "special": false
1116
+ },
1117
+ "151782": {
1118
+ "content": "<ACTION_117>",
1119
+ "lstrip": false,
1120
+ "normalized": true,
1121
+ "rstrip": false,
1122
+ "single_word": false,
1123
+ "special": false
1124
+ },
1125
+ "151783": {
1126
+ "content": "<ACTION_118>",
1127
+ "lstrip": false,
1128
+ "normalized": true,
1129
+ "rstrip": false,
1130
+ "single_word": false,
1131
+ "special": false
1132
+ },
1133
+ "151784": {
1134
+ "content": "<ACTION_119>",
1135
+ "lstrip": false,
1136
+ "normalized": true,
1137
+ "rstrip": false,
1138
+ "single_word": false,
1139
+ "special": false
1140
+ },
1141
+ "151785": {
1142
+ "content": "<ACTION_120>",
1143
+ "lstrip": false,
1144
+ "normalized": true,
1145
+ "rstrip": false,
1146
+ "single_word": false,
1147
+ "special": false
1148
+ },
1149
+ "151786": {
1150
+ "content": "<ACTION_121>",
1151
+ "lstrip": false,
1152
+ "normalized": true,
1153
+ "rstrip": false,
1154
+ "single_word": false,
1155
+ "special": false
1156
+ },
1157
+ "151787": {
1158
+ "content": "<ACTION_122>",
1159
+ "lstrip": false,
1160
+ "normalized": true,
1161
+ "rstrip": false,
1162
+ "single_word": false,
1163
+ "special": false
1164
+ },
1165
+ "151788": {
1166
+ "content": "<ACTION_123>",
1167
+ "lstrip": false,
1168
+ "normalized": true,
1169
+ "rstrip": false,
1170
+ "single_word": false,
1171
+ "special": false
1172
+ },
1173
+ "151789": {
1174
+ "content": "<ACTION_124>",
1175
+ "lstrip": false,
1176
+ "normalized": true,
1177
+ "rstrip": false,
1178
+ "single_word": false,
1179
+ "special": false
1180
+ },
1181
+ "151790": {
1182
+ "content": "<ACTION_125>",
1183
+ "lstrip": false,
1184
+ "normalized": true,
1185
+ "rstrip": false,
1186
+ "single_word": false,
1187
+ "special": false
1188
+ },
1189
+ "151791": {
1190
+ "content": "<ACTION_126>",
1191
+ "lstrip": false,
1192
+ "normalized": true,
1193
+ "rstrip": false,
1194
+ "single_word": false,
1195
+ "special": false
1196
+ },
1197
+ "151792": {
1198
+ "content": "<ACTION_127>",
1199
+ "lstrip": false,
1200
+ "normalized": true,
1201
+ "rstrip": false,
1202
+ "single_word": false,
1203
+ "special": false
1204
+ },
1205
+ "151793": {
1206
+ "content": "<ACTION_128>",
1207
+ "lstrip": false,
1208
+ "normalized": true,
1209
+ "rstrip": false,
1210
+ "single_word": false,
1211
+ "special": false
1212
+ },
1213
+ "151794": {
1214
+ "content": "<ACTION_129>",
1215
+ "lstrip": false,
1216
+ "normalized": true,
1217
+ "rstrip": false,
1218
+ "single_word": false,
1219
+ "special": false
1220
+ },
1221
+ "151795": {
1222
+ "content": "<ACTION_130>",
1223
+ "lstrip": false,
1224
+ "normalized": true,
1225
+ "rstrip": false,
1226
+ "single_word": false,
1227
+ "special": false
1228
+ },
1229
+ "151796": {
1230
+ "content": "<ACTION_131>",
1231
+ "lstrip": false,
1232
+ "normalized": true,
1233
+ "rstrip": false,
1234
+ "single_word": false,
1235
+ "special": false
1236
+ },
1237
+ "151797": {
1238
+ "content": "<ACTION_132>",
1239
+ "lstrip": false,
1240
+ "normalized": true,
1241
+ "rstrip": false,
1242
+ "single_word": false,
1243
+ "special": false
1244
+ },
1245
+ "151798": {
1246
+ "content": "<ACTION_133>",
1247
+ "lstrip": false,
1248
+ "normalized": true,
1249
+ "rstrip": false,
1250
+ "single_word": false,
1251
+ "special": false
1252
+ },
1253
+ "151799": {
1254
+ "content": "<ACTION_134>",
1255
+ "lstrip": false,
1256
+ "normalized": true,
1257
+ "rstrip": false,
1258
+ "single_word": false,
1259
+ "special": false
1260
+ },
1261
+ "151800": {
1262
+ "content": "<ACTION_135>",
1263
+ "lstrip": false,
1264
+ "normalized": true,
1265
+ "rstrip": false,
1266
+ "single_word": false,
1267
+ "special": false
1268
+ },
1269
+ "151801": {
1270
+ "content": "<ACTION_136>",
1271
+ "lstrip": false,
1272
+ "normalized": true,
1273
+ "rstrip": false,
1274
+ "single_word": false,
1275
+ "special": false
1276
+ },
1277
+ "151802": {
1278
+ "content": "<ACTION_137>",
1279
+ "lstrip": false,
1280
+ "normalized": true,
1281
+ "rstrip": false,
1282
+ "single_word": false,
1283
+ "special": false
1284
+ },
1285
+ "151803": {
1286
+ "content": "<ACTION_138>",
1287
+ "lstrip": false,
1288
+ "normalized": true,
1289
+ "rstrip": false,
1290
+ "single_word": false,
1291
+ "special": false
1292
+ },
1293
+ "151804": {
1294
+ "content": "<ACTION_139>",
1295
+ "lstrip": false,
1296
+ "normalized": true,
1297
+ "rstrip": false,
1298
+ "single_word": false,
1299
+ "special": false
1300
+ },
1301
+ "151805": {
1302
+ "content": "<ACTION_140>",
1303
+ "lstrip": false,
1304
+ "normalized": true,
1305
+ "rstrip": false,
1306
+ "single_word": false,
1307
+ "special": false
1308
+ },
1309
+ "151806": {
1310
+ "content": "<ACTION_141>",
1311
+ "lstrip": false,
1312
+ "normalized": true,
1313
+ "rstrip": false,
1314
+ "single_word": false,
1315
+ "special": false
1316
+ },
1317
+ "151807": {
1318
+ "content": "<ACTION_142>",
1319
+ "lstrip": false,
1320
+ "normalized": true,
1321
+ "rstrip": false,
1322
+ "single_word": false,
1323
+ "special": false
1324
+ },
1325
+ "151808": {
1326
+ "content": "<ACTION_143>",
1327
+ "lstrip": false,
1328
+ "normalized": true,
1329
+ "rstrip": false,
1330
+ "single_word": false,
1331
+ "special": false
1332
+ },
1333
+ "151809": {
1334
+ "content": "<ACTION_144>",
1335
+ "lstrip": false,
1336
+ "normalized": true,
1337
+ "rstrip": false,
1338
+ "single_word": false,
1339
+ "special": false
1340
+ },
1341
+ "151810": {
1342
+ "content": "<ACTION_145>",
1343
+ "lstrip": false,
1344
+ "normalized": true,
1345
+ "rstrip": false,
1346
+ "single_word": false,
1347
+ "special": false
1348
+ },
1349
+ "151811": {
1350
+ "content": "<ACTION_146>",
1351
+ "lstrip": false,
1352
+ "normalized": true,
1353
+ "rstrip": false,
1354
+ "single_word": false,
1355
+ "special": false
1356
+ },
1357
+ "151812": {
1358
+ "content": "<ACTION_147>",
1359
+ "lstrip": false,
1360
+ "normalized": true,
1361
+ "rstrip": false,
1362
+ "single_word": false,
1363
+ "special": false
1364
+ },
1365
+ "151813": {
1366
+ "content": "<ACTION_148>",
1367
+ "lstrip": false,
1368
+ "normalized": true,
1369
+ "rstrip": false,
1370
+ "single_word": false,
1371
+ "special": false
1372
+ },
1373
+ "151814": {
1374
+ "content": "<ACTION_149>",
1375
+ "lstrip": false,
1376
+ "normalized": true,
1377
+ "rstrip": false,
1378
+ "single_word": false,
1379
+ "special": false
1380
+ },
1381
+ "151815": {
1382
+ "content": "<ACTION_150>",
1383
+ "lstrip": false,
1384
+ "normalized": true,
1385
+ "rstrip": false,
1386
+ "single_word": false,
1387
+ "special": false
1388
+ },
1389
+ "151816": {
1390
+ "content": "<ACTION_151>",
1391
+ "lstrip": false,
1392
+ "normalized": true,
1393
+ "rstrip": false,
1394
+ "single_word": false,
1395
+ "special": false
1396
+ },
1397
+ "151817": {
1398
+ "content": "<ACTION_152>",
1399
+ "lstrip": false,
1400
+ "normalized": true,
1401
+ "rstrip": false,
1402
+ "single_word": false,
1403
+ "special": false
1404
+ },
1405
+ "151818": {
1406
+ "content": "<ACTION_153>",
1407
+ "lstrip": false,
1408
+ "normalized": true,
1409
+ "rstrip": false,
1410
+ "single_word": false,
1411
+ "special": false
1412
+ },
1413
+ "151819": {
1414
+ "content": "<ACTION_154>",
1415
+ "lstrip": false,
1416
+ "normalized": true,
1417
+ "rstrip": false,
1418
+ "single_word": false,
1419
+ "special": false
1420
+ },
1421
+ "151820": {
1422
+ "content": "<ACTION_155>",
1423
+ "lstrip": false,
1424
+ "normalized": true,
1425
+ "rstrip": false,
1426
+ "single_word": false,
1427
+ "special": false
1428
+ },
1429
+ "151821": {
1430
+ "content": "<ACTION_156>",
1431
+ "lstrip": false,
1432
+ "normalized": true,
1433
+ "rstrip": false,
1434
+ "single_word": false,
1435
+ "special": false
1436
+ },
1437
+ "151822": {
1438
+ "content": "<ACTION_157>",
1439
+ "lstrip": false,
1440
+ "normalized": true,
1441
+ "rstrip": false,
1442
+ "single_word": false,
1443
+ "special": false
1444
+ },
1445
+ "151823": {
1446
+ "content": "<ACTION_158>",
1447
+ "lstrip": false,
1448
+ "normalized": true,
1449
+ "rstrip": false,
1450
+ "single_word": false,
1451
+ "special": false
1452
+ },
1453
+ "151824": {
1454
+ "content": "<ACTION_159>",
1455
+ "lstrip": false,
1456
+ "normalized": true,
1457
+ "rstrip": false,
1458
+ "single_word": false,
1459
+ "special": false
1460
+ },
1461
+ "151825": {
1462
+ "content": "<ACTION_160>",
1463
+ "lstrip": false,
1464
+ "normalized": true,
1465
+ "rstrip": false,
1466
+ "single_word": false,
1467
+ "special": false
1468
+ },
1469
+ "151826": {
1470
+ "content": "<ACTION_161>",
1471
+ "lstrip": false,
1472
+ "normalized": true,
1473
+ "rstrip": false,
1474
+ "single_word": false,
1475
+ "special": false
1476
+ },
1477
+ "151827": {
1478
+ "content": "<ACTION_162>",
1479
+ "lstrip": false,
1480
+ "normalized": true,
1481
+ "rstrip": false,
1482
+ "single_word": false,
1483
+ "special": false
1484
+ },
1485
+ "151828": {
1486
+ "content": "<ACTION_163>",
1487
+ "lstrip": false,
1488
+ "normalized": true,
1489
+ "rstrip": false,
1490
+ "single_word": false,
1491
+ "special": false
1492
+ },
1493
+ "151829": {
1494
+ "content": "<ACTION_164>",
1495
+ "lstrip": false,
1496
+ "normalized": true,
1497
+ "rstrip": false,
1498
+ "single_word": false,
1499
+ "special": false
1500
+ },
1501
+ "151830": {
1502
+ "content": "<ACTION_165>",
1503
+ "lstrip": false,
1504
+ "normalized": true,
1505
+ "rstrip": false,
1506
+ "single_word": false,
1507
+ "special": false
1508
+ },
1509
+ "151831": {
1510
+ "content": "<ACTION_166>",
1511
+ "lstrip": false,
1512
+ "normalized": true,
1513
+ "rstrip": false,
1514
+ "single_word": false,
1515
+ "special": false
1516
+ },
1517
+ "151832": {
1518
+ "content": "<ACTION_167>",
1519
+ "lstrip": false,
1520
+ "normalized": true,
1521
+ "rstrip": false,
1522
+ "single_word": false,
1523
+ "special": false
1524
+ },
1525
+ "151833": {
1526
+ "content": "<ACTION_168>",
1527
+ "lstrip": false,
1528
+ "normalized": true,
1529
+ "rstrip": false,
1530
+ "single_word": false,
1531
+ "special": false
1532
+ },
1533
+ "151834": {
1534
+ "content": "<ACTION_169>",
1535
+ "lstrip": false,
1536
+ "normalized": true,
1537
+ "rstrip": false,
1538
+ "single_word": false,
1539
+ "special": false
1540
+ },
1541
+ "151835": {
1542
+ "content": "<ACTION_170>",
1543
+ "lstrip": false,
1544
+ "normalized": true,
1545
+ "rstrip": false,
1546
+ "single_word": false,
1547
+ "special": false
1548
+ },
1549
+ "151836": {
1550
+ "content": "<ACTION_171>",
1551
+ "lstrip": false,
1552
+ "normalized": true,
1553
+ "rstrip": false,
1554
+ "single_word": false,
1555
+ "special": false
1556
+ },
1557
+ "151837": {
1558
+ "content": "<ACTION_172>",
1559
+ "lstrip": false,
1560
+ "normalized": true,
1561
+ "rstrip": false,
1562
+ "single_word": false,
1563
+ "special": false
1564
+ },
1565
+ "151838": {
1566
+ "content": "<ACTION_173>",
1567
+ "lstrip": false,
1568
+ "normalized": true,
1569
+ "rstrip": false,
1570
+ "single_word": false,
1571
+ "special": false
1572
+ },
1573
+ "151839": {
1574
+ "content": "<ACTION_174>",
1575
+ "lstrip": false,
1576
+ "normalized": true,
1577
+ "rstrip": false,
1578
+ "single_word": false,
1579
+ "special": false
1580
+ },
1581
+ "151840": {
1582
+ "content": "<ACTION_175>",
1583
+ "lstrip": false,
1584
+ "normalized": true,
1585
+ "rstrip": false,
1586
+ "single_word": false,
1587
+ "special": false
1588
+ },
1589
+ "151841": {
1590
+ "content": "<ACTION_176>",
1591
+ "lstrip": false,
1592
+ "normalized": true,
1593
+ "rstrip": false,
1594
+ "single_word": false,
1595
+ "special": false
1596
+ },
1597
+ "151842": {
1598
+ "content": "<ACTION_177>",
1599
+ "lstrip": false,
1600
+ "normalized": true,
1601
+ "rstrip": false,
1602
+ "single_word": false,
1603
+ "special": false
1604
+ },
1605
+ "151843": {
1606
+ "content": "<ACTION_178>",
1607
+ "lstrip": false,
1608
+ "normalized": true,
1609
+ "rstrip": false,
1610
+ "single_word": false,
1611
+ "special": false
1612
+ },
1613
+ "151844": {
1614
+ "content": "<ACTION_179>",
1615
+ "lstrip": false,
1616
+ "normalized": true,
1617
+ "rstrip": false,
1618
+ "single_word": false,
1619
+ "special": false
1620
+ },
1621
+ "151845": {
1622
+ "content": "<ACTION_180>",
1623
+ "lstrip": false,
1624
+ "normalized": true,
1625
+ "rstrip": false,
1626
+ "single_word": false,
1627
+ "special": false
1628
+ },
1629
+ "151846": {
1630
+ "content": "<ACTION_181>",
1631
+ "lstrip": false,
1632
+ "normalized": true,
1633
+ "rstrip": false,
1634
+ "single_word": false,
1635
+ "special": false
1636
+ },
1637
+ "151847": {
1638
+ "content": "<ACTION_182>",
1639
+ "lstrip": false,
1640
+ "normalized": true,
1641
+ "rstrip": false,
1642
+ "single_word": false,
1643
+ "special": false
1644
+ },
1645
+ "151848": {
1646
+ "content": "<ACTION_183>",
1647
+ "lstrip": false,
1648
+ "normalized": true,
1649
+ "rstrip": false,
1650
+ "single_word": false,
1651
+ "special": false
1652
+ },
1653
+ "151849": {
1654
+ "content": "<ACTION_184>",
1655
+ "lstrip": false,
1656
+ "normalized": true,
1657
+ "rstrip": false,
1658
+ "single_word": false,
1659
+ "special": false
1660
+ },
1661
+ "151850": {
1662
+ "content": "<ACTION_185>",
1663
+ "lstrip": false,
1664
+ "normalized": true,
1665
+ "rstrip": false,
1666
+ "single_word": false,
1667
+ "special": false
1668
+ },
1669
+ "151851": {
1670
+ "content": "<ACTION_186>",
1671
+ "lstrip": false,
1672
+ "normalized": true,
1673
+ "rstrip": false,
1674
+ "single_word": false,
1675
+ "special": false
1676
+ },
1677
+ "151852": {
1678
+ "content": "<ACTION_187>",
1679
+ "lstrip": false,
1680
+ "normalized": true,
1681
+ "rstrip": false,
1682
+ "single_word": false,
1683
+ "special": false
1684
+ },
1685
+ "151853": {
1686
+ "content": "<ACTION_188>",
1687
+ "lstrip": false,
1688
+ "normalized": true,
1689
+ "rstrip": false,
1690
+ "single_word": false,
1691
+ "special": false
1692
+ },
1693
+ "151854": {
1694
+ "content": "<ACTION_189>",
1695
+ "lstrip": false,
1696
+ "normalized": true,
1697
+ "rstrip": false,
1698
+ "single_word": false,
1699
+ "special": false
1700
+ },
1701
+ "151855": {
1702
+ "content": "<ACTION_190>",
1703
+ "lstrip": false,
1704
+ "normalized": true,
1705
+ "rstrip": false,
1706
+ "single_word": false,
1707
+ "special": false
1708
+ },
1709
+ "151856": {
1710
+ "content": "<ACTION_191>",
1711
+ "lstrip": false,
1712
+ "normalized": true,
1713
+ "rstrip": false,
1714
+ "single_word": false,
1715
+ "special": false
1716
+ },
1717
+ "151857": {
1718
+ "content": "<ACTION_192>",
1719
+ "lstrip": false,
1720
+ "normalized": true,
1721
+ "rstrip": false,
1722
+ "single_word": false,
1723
+ "special": false
1724
+ },
1725
+ "151858": {
1726
+ "content": "<ACTION_193>",
1727
+ "lstrip": false,
1728
+ "normalized": true,
1729
+ "rstrip": false,
1730
+ "single_word": false,
1731
+ "special": false
1732
+ },
1733
+ "151859": {
1734
+ "content": "<ACTION_194>",
1735
+ "lstrip": false,
1736
+ "normalized": true,
1737
+ "rstrip": false,
1738
+ "single_word": false,
1739
+ "special": false
1740
+ },
1741
+ "151860": {
1742
+ "content": "<ACTION_195>",
1743
+ "lstrip": false,
1744
+ "normalized": true,
1745
+ "rstrip": false,
1746
+ "single_word": false,
1747
+ "special": false
1748
+ },
1749
+ "151861": {
1750
+ "content": "<ACTION_196>",
1751
+ "lstrip": false,
1752
+ "normalized": true,
1753
+ "rstrip": false,
1754
+ "single_word": false,
1755
+ "special": false
1756
+ },
1757
+ "151862": {
1758
+ "content": "<ACTION_197>",
1759
+ "lstrip": false,
1760
+ "normalized": true,
1761
+ "rstrip": false,
1762
+ "single_word": false,
1763
+ "special": false
1764
+ },
1765
+ "151863": {
1766
+ "content": "<ACTION_198>",
1767
+ "lstrip": false,
1768
+ "normalized": true,
1769
+ "rstrip": false,
1770
+ "single_word": false,
1771
+ "special": false
1772
+ },
1773
+ "151864": {
1774
+ "content": "<ACTION_199>",
1775
+ "lstrip": false,
1776
+ "normalized": true,
1777
+ "rstrip": false,
1778
+ "single_word": false,
1779
+ "special": false
1780
+ },
1781
+ "151865": {
1782
+ "content": "<ACTION_200>",
1783
+ "lstrip": false,
1784
+ "normalized": true,
1785
+ "rstrip": false,
1786
+ "single_word": false,
1787
+ "special": false
1788
+ },
1789
+ "151866": {
1790
+ "content": "<ACTION_201>",
1791
+ "lstrip": false,
1792
+ "normalized": true,
1793
+ "rstrip": false,
1794
+ "single_word": false,
1795
+ "special": false
1796
+ },
1797
+ "151867": {
1798
+ "content": "<ACTION_202>",
1799
+ "lstrip": false,
1800
+ "normalized": true,
1801
+ "rstrip": false,
1802
+ "single_word": false,
1803
+ "special": false
1804
+ },
1805
+ "151868": {
1806
+ "content": "<ACTION_203>",
1807
+ "lstrip": false,
1808
+ "normalized": true,
1809
+ "rstrip": false,
1810
+ "single_word": false,
1811
+ "special": false
1812
+ },
1813
+ "151869": {
1814
+ "content": "<ACTION_204>",
1815
+ "lstrip": false,
1816
+ "normalized": true,
1817
+ "rstrip": false,
1818
+ "single_word": false,
1819
+ "special": false
1820
+ },
1821
+ "151870": {
1822
+ "content": "<ACTION_205>",
1823
+ "lstrip": false,
1824
+ "normalized": true,
1825
+ "rstrip": false,
1826
+ "single_word": false,
1827
+ "special": false
1828
+ },
1829
+ "151871": {
1830
+ "content": "<ACTION_206>",
1831
+ "lstrip": false,
1832
+ "normalized": true,
1833
+ "rstrip": false,
1834
+ "single_word": false,
1835
+ "special": false
1836
+ },
1837
+ "151872": {
1838
+ "content": "<ACTION_207>",
1839
+ "lstrip": false,
1840
+ "normalized": true,
1841
+ "rstrip": false,
1842
+ "single_word": false,
1843
+ "special": false
1844
+ },
1845
+ "151873": {
1846
+ "content": "<ACTION_208>",
1847
+ "lstrip": false,
1848
+ "normalized": true,
1849
+ "rstrip": false,
1850
+ "single_word": false,
1851
+ "special": false
1852
+ },
1853
+ "151874": {
1854
+ "content": "<ACTION_209>",
1855
+ "lstrip": false,
1856
+ "normalized": true,
1857
+ "rstrip": false,
1858
+ "single_word": false,
1859
+ "special": false
1860
+ },
1861
+ "151875": {
1862
+ "content": "<ACTION_210>",
1863
+ "lstrip": false,
1864
+ "normalized": true,
1865
+ "rstrip": false,
1866
+ "single_word": false,
1867
+ "special": false
1868
+ },
1869
+ "151876": {
1870
+ "content": "<ACTION_211>",
1871
+ "lstrip": false,
1872
+ "normalized": true,
1873
+ "rstrip": false,
1874
+ "single_word": false,
1875
+ "special": false
1876
+ },
1877
+ "151877": {
1878
+ "content": "<ACTION_212>",
1879
+ "lstrip": false,
1880
+ "normalized": true,
1881
+ "rstrip": false,
1882
+ "single_word": false,
1883
+ "special": false
1884
+ },
1885
+ "151878": {
1886
+ "content": "<ACTION_213>",
1887
+ "lstrip": false,
1888
+ "normalized": true,
1889
+ "rstrip": false,
1890
+ "single_word": false,
1891
+ "special": false
1892
+ },
1893
+ "151879": {
1894
+ "content": "<ACTION_214>",
1895
+ "lstrip": false,
1896
+ "normalized": true,
1897
+ "rstrip": false,
1898
+ "single_word": false,
1899
+ "special": false
1900
+ },
1901
+ "151880": {
1902
+ "content": "<ACTION_215>",
1903
+ "lstrip": false,
1904
+ "normalized": true,
1905
+ "rstrip": false,
1906
+ "single_word": false,
1907
+ "special": false
1908
+ },
1909
+ "151881": {
1910
+ "content": "<ACTION_216>",
1911
+ "lstrip": false,
1912
+ "normalized": true,
1913
+ "rstrip": false,
1914
+ "single_word": false,
1915
+ "special": false
1916
+ },
1917
+ "151882": {
1918
+ "content": "<ACTION_217>",
1919
+ "lstrip": false,
1920
+ "normalized": true,
1921
+ "rstrip": false,
1922
+ "single_word": false,
1923
+ "special": false
1924
+ },
1925
+ "151883": {
1926
+ "content": "<ACTION_218>",
1927
+ "lstrip": false,
1928
+ "normalized": true,
1929
+ "rstrip": false,
1930
+ "single_word": false,
1931
+ "special": false
1932
+ },
1933
+ "151884": {
1934
+ "content": "<ACTION_219>",
1935
+ "lstrip": false,
1936
+ "normalized": true,
1937
+ "rstrip": false,
1938
+ "single_word": false,
1939
+ "special": false
1940
+ },
1941
+ "151885": {
1942
+ "content": "<ACTION_220>",
1943
+ "lstrip": false,
1944
+ "normalized": true,
1945
+ "rstrip": false,
1946
+ "single_word": false,
1947
+ "special": false
1948
+ },
1949
+ "151886": {
1950
+ "content": "<ACTION_221>",
1951
+ "lstrip": false,
1952
+ "normalized": true,
1953
+ "rstrip": false,
1954
+ "single_word": false,
1955
+ "special": false
1956
+ },
1957
+ "151887": {
1958
+ "content": "<ACTION_222>",
1959
+ "lstrip": false,
1960
+ "normalized": true,
1961
+ "rstrip": false,
1962
+ "single_word": false,
1963
+ "special": false
1964
+ },
1965
+ "151888": {
1966
+ "content": "<ACTION_223>",
1967
+ "lstrip": false,
1968
+ "normalized": true,
1969
+ "rstrip": false,
1970
+ "single_word": false,
1971
+ "special": false
1972
+ },
1973
+ "151889": {
1974
+ "content": "<ACTION_224>",
1975
+ "lstrip": false,
1976
+ "normalized": true,
1977
+ "rstrip": false,
1978
+ "single_word": false,
1979
+ "special": false
1980
+ },
1981
+ "151890": {
1982
+ "content": "<ACTION_225>",
1983
+ "lstrip": false,
1984
+ "normalized": true,
1985
+ "rstrip": false,
1986
+ "single_word": false,
1987
+ "special": false
1988
+ },
1989
+ "151891": {
1990
+ "content": "<ACTION_226>",
1991
+ "lstrip": false,
1992
+ "normalized": true,
1993
+ "rstrip": false,
1994
+ "single_word": false,
1995
+ "special": false
1996
+ },
1997
+ "151892": {
1998
+ "content": "<ACTION_227>",
1999
+ "lstrip": false,
2000
+ "normalized": true,
2001
+ "rstrip": false,
2002
+ "single_word": false,
2003
+ "special": false
2004
+ },
2005
+ "151893": {
2006
+ "content": "<ACTION_228>",
2007
+ "lstrip": false,
2008
+ "normalized": true,
2009
+ "rstrip": false,
2010
+ "single_word": false,
2011
+ "special": false
2012
+ },
2013
+ "151894": {
2014
+ "content": "<ACTION_229>",
2015
+ "lstrip": false,
2016
+ "normalized": true,
2017
+ "rstrip": false,
2018
+ "single_word": false,
2019
+ "special": false
2020
+ },
2021
+ "151895": {
2022
+ "content": "<ACTION_230>",
2023
+ "lstrip": false,
2024
+ "normalized": true,
2025
+ "rstrip": false,
2026
+ "single_word": false,
2027
+ "special": false
2028
+ },
2029
+ "151896": {
2030
+ "content": "<ACTION_231>",
2031
+ "lstrip": false,
2032
+ "normalized": true,
2033
+ "rstrip": false,
2034
+ "single_word": false,
2035
+ "special": false
2036
+ },
2037
+ "151897": {
2038
+ "content": "<ACTION_232>",
2039
+ "lstrip": false,
2040
+ "normalized": true,
2041
+ "rstrip": false,
2042
+ "single_word": false,
2043
+ "special": false
2044
+ },
2045
+ "151898": {
2046
+ "content": "<ACTION_233>",
2047
+ "lstrip": false,
2048
+ "normalized": true,
2049
+ "rstrip": false,
2050
+ "single_word": false,
2051
+ "special": false
2052
+ },
2053
+ "151899": {
2054
+ "content": "<ACTION_234>",
2055
+ "lstrip": false,
2056
+ "normalized": true,
2057
+ "rstrip": false,
2058
+ "single_word": false,
2059
+ "special": false
2060
+ },
2061
+ "151900": {
2062
+ "content": "<ACTION_235>",
2063
+ "lstrip": false,
2064
+ "normalized": true,
2065
+ "rstrip": false,
2066
+ "single_word": false,
2067
+ "special": false
2068
+ },
2069
+ "151901": {
2070
+ "content": "<ACTION_236>",
2071
+ "lstrip": false,
2072
+ "normalized": true,
2073
+ "rstrip": false,
2074
+ "single_word": false,
2075
+ "special": false
2076
+ },
2077
+ "151902": {
2078
+ "content": "<ACTION_237>",
2079
+ "lstrip": false,
2080
+ "normalized": true,
2081
+ "rstrip": false,
2082
+ "single_word": false,
2083
+ "special": false
2084
+ },
2085
+ "151903": {
2086
+ "content": "<ACTION_238>",
2087
+ "lstrip": false,
2088
+ "normalized": true,
2089
+ "rstrip": false,
2090
+ "single_word": false,
2091
+ "special": false
2092
+ },
2093
+ "151904": {
2094
+ "content": "<ACTION_239>",
2095
+ "lstrip": false,
2096
+ "normalized": true,
2097
+ "rstrip": false,
2098
+ "single_word": false,
2099
+ "special": false
2100
+ },
2101
+ "151905": {
2102
+ "content": "<ACTION_240>",
2103
+ "lstrip": false,
2104
+ "normalized": true,
2105
+ "rstrip": false,
2106
+ "single_word": false,
2107
+ "special": false
2108
+ },
2109
+ "151906": {
2110
+ "content": "<ACTION_241>",
2111
+ "lstrip": false,
2112
+ "normalized": true,
2113
+ "rstrip": false,
2114
+ "single_word": false,
2115
+ "special": false
2116
+ },
2117
+ "151907": {
2118
+ "content": "<ACTION_242>",
2119
+ "lstrip": false,
2120
+ "normalized": true,
2121
+ "rstrip": false,
2122
+ "single_word": false,
2123
+ "special": false
2124
+ },
2125
+ "151908": {
2126
+ "content": "<ACTION_243>",
2127
+ "lstrip": false,
2128
+ "normalized": true,
2129
+ "rstrip": false,
2130
+ "single_word": false,
2131
+ "special": false
2132
+ },
2133
+ "151909": {
2134
+ "content": "<ACTION_244>",
2135
+ "lstrip": false,
2136
+ "normalized": true,
2137
+ "rstrip": false,
2138
+ "single_word": false,
2139
+ "special": false
2140
+ },
2141
+ "151910": {
2142
+ "content": "<ACTION_245>",
2143
+ "lstrip": false,
2144
+ "normalized": true,
2145
+ "rstrip": false,
2146
+ "single_word": false,
2147
+ "special": false
2148
+ },
2149
+ "151911": {
2150
+ "content": "<ACTION_246>",
2151
+ "lstrip": false,
2152
+ "normalized": true,
2153
+ "rstrip": false,
2154
+ "single_word": false,
2155
+ "special": false
2156
+ },
2157
+ "151912": {
2158
+ "content": "<ACTION_247>",
2159
+ "lstrip": false,
2160
+ "normalized": true,
2161
+ "rstrip": false,
2162
+ "single_word": false,
2163
+ "special": false
2164
+ },
2165
+ "151913": {
2166
+ "content": "<ACTION_248>",
2167
+ "lstrip": false,
2168
+ "normalized": true,
2169
+ "rstrip": false,
2170
+ "single_word": false,
2171
+ "special": false
2172
+ },
2173
+ "151914": {
2174
+ "content": "<ACTION_249>",
2175
+ "lstrip": false,
2176
+ "normalized": true,
2177
+ "rstrip": false,
2178
+ "single_word": false,
2179
+ "special": false
2180
+ },
2181
+ "151915": {
2182
+ "content": "<ACTION_250>",
2183
+ "lstrip": false,
2184
+ "normalized": true,
2185
+ "rstrip": false,
2186
+ "single_word": false,
2187
+ "special": false
2188
+ },
2189
+ "151916": {
2190
+ "content": "<ACTION_251>",
2191
+ "lstrip": false,
2192
+ "normalized": true,
2193
+ "rstrip": false,
2194
+ "single_word": false,
2195
+ "special": false
2196
+ },
2197
+ "151917": {
2198
+ "content": "<ACTION_252>",
2199
+ "lstrip": false,
2200
+ "normalized": true,
2201
+ "rstrip": false,
2202
+ "single_word": false,
2203
+ "special": false
2204
+ },
2205
+ "151918": {
2206
+ "content": "<ACTION_253>",
2207
+ "lstrip": false,
2208
+ "normalized": true,
2209
+ "rstrip": false,
2210
+ "single_word": false,
2211
+ "special": false
2212
+ },
2213
+ "151919": {
2214
+ "content": "<ACTION_254>",
2215
+ "lstrip": false,
2216
+ "normalized": true,
2217
+ "rstrip": false,
2218
+ "single_word": false,
2219
+ "special": false
2220
+ },
2221
+ "151920": {
2222
+ "content": "<ACTION_255>",
2223
+ "lstrip": false,
2224
+ "normalized": true,
2225
+ "rstrip": false,
2226
+ "single_word": false,
2227
+ "special": false
2228
+ },
2229
+ "151921": {
2230
+ "content": "<seg_begin>",
2231
+ "lstrip": false,
2232
+ "normalized": true,
2233
+ "rstrip": false,
2234
+ "single_word": false,
2235
+ "special": false
2236
+ },
2237
+ "151922": {
2238
+ "content": "<seg000>",
2239
+ "lstrip": false,
2240
+ "normalized": true,
2241
+ "rstrip": false,
2242
+ "single_word": false,
2243
+ "special": false
2244
+ },
2245
+ "151923": {
2246
+ "content": "<seg001>",
2247
+ "lstrip": false,
2248
+ "normalized": true,
2249
+ "rstrip": false,
2250
+ "single_word": false,
2251
+ "special": false
2252
+ },
2253
+ "151924": {
2254
+ "content": "<seg002>",
2255
+ "lstrip": false,
2256
+ "normalized": true,
2257
+ "rstrip": false,
2258
+ "single_word": false,
2259
+ "special": false
2260
+ },
2261
+ "151925": {
2262
+ "content": "<seg003>",
2263
+ "lstrip": false,
2264
+ "normalized": true,
2265
+ "rstrip": false,
2266
+ "single_word": false,
2267
+ "special": false
2268
+ },
2269
+ "151926": {
2270
+ "content": "<seg004>",
2271
+ "lstrip": false,
2272
+ "normalized": true,
2273
+ "rstrip": false,
2274
+ "single_word": false,
2275
+ "special": false
2276
+ },
2277
+ "151927": {
2278
+ "content": "<seg005>",
2279
+ "lstrip": false,
2280
+ "normalized": true,
2281
+ "rstrip": false,
2282
+ "single_word": false,
2283
+ "special": false
2284
+ },
2285
+ "151928": {
2286
+ "content": "<seg006>",
2287
+ "lstrip": false,
2288
+ "normalized": true,
2289
+ "rstrip": false,
2290
+ "single_word": false,
2291
+ "special": false
2292
+ },
2293
+ "151929": {
2294
+ "content": "<seg007>",
2295
+ "lstrip": false,
2296
+ "normalized": true,
2297
+ "rstrip": false,
2298
+ "single_word": false,
2299
+ "special": false
2300
+ },
2301
+ "151930": {
2302
+ "content": "<seg008>",
2303
+ "lstrip": false,
2304
+ "normalized": true,
2305
+ "rstrip": false,
2306
+ "single_word": false,
2307
+ "special": false
2308
+ },
2309
+ "151931": {
2310
+ "content": "<seg009>",
2311
+ "lstrip": false,
2312
+ "normalized": true,
2313
+ "rstrip": false,
2314
+ "single_word": false,
2315
+ "special": false
2316
+ },
2317
+ "151932": {
2318
+ "content": "<seg010>",
2319
+ "lstrip": false,
2320
+ "normalized": true,
2321
+ "rstrip": false,
2322
+ "single_word": false,
2323
+ "special": false
2324
+ },
2325
+ "151933": {
2326
+ "content": "<seg011>",
2327
+ "lstrip": false,
2328
+ "normalized": true,
2329
+ "rstrip": false,
2330
+ "single_word": false,
2331
+ "special": false
2332
+ },
2333
+ "151934": {
2334
+ "content": "<seg012>",
2335
+ "lstrip": false,
2336
+ "normalized": true,
2337
+ "rstrip": false,
2338
+ "single_word": false,
2339
+ "special": false
2340
+ },
2341
+ "151935": {
2342
+ "content": "<seg013>",
2343
+ "lstrip": false,
2344
+ "normalized": true,
2345
+ "rstrip": false,
2346
+ "single_word": false,
2347
+ "special": false
2348
+ },
2349
+ "151936": {
2350
+ "content": "<seg014>",
2351
+ "lstrip": false,
2352
+ "normalized": true,
2353
+ "rstrip": false,
2354
+ "single_word": false,
2355
+ "special": false
2356
+ },
2357
+ "151937": {
2358
+ "content": "<seg015>",
2359
+ "lstrip": false,
2360
+ "normalized": true,
2361
+ "rstrip": false,
2362
+ "single_word": false,
2363
+ "special": false
2364
+ },
2365
+ "151938": {
2366
+ "content": "<seg016>",
2367
+ "lstrip": false,
2368
+ "normalized": true,
2369
+ "rstrip": false,
2370
+ "single_word": false,
2371
+ "special": false
2372
+ },
2373
+ "151939": {
2374
+ "content": "<seg017>",
2375
+ "lstrip": false,
2376
+ "normalized": true,
2377
+ "rstrip": false,
2378
+ "single_word": false,
2379
+ "special": false
2380
+ },
2381
+ "151940": {
2382
+ "content": "<seg018>",
2383
+ "lstrip": false,
2384
+ "normalized": true,
2385
+ "rstrip": false,
2386
+ "single_word": false,
2387
+ "special": false
2388
+ },
2389
+ "151941": {
2390
+ "content": "<seg019>",
2391
+ "lstrip": false,
2392
+ "normalized": true,
2393
+ "rstrip": false,
2394
+ "single_word": false,
2395
+ "special": false
2396
+ },
2397
+ "151942": {
2398
+ "content": "<seg020>",
2399
+ "lstrip": false,
2400
+ "normalized": true,
2401
+ "rstrip": false,
2402
+ "single_word": false,
2403
+ "special": false
2404
+ },
2405
+ "151943": {
2406
+ "content": "<seg021>",
2407
+ "lstrip": false,
2408
+ "normalized": true,
2409
+ "rstrip": false,
2410
+ "single_word": false,
2411
+ "special": false
2412
+ },
2413
+ "151944": {
2414
+ "content": "<seg022>",
2415
+ "lstrip": false,
2416
+ "normalized": true,
2417
+ "rstrip": false,
2418
+ "single_word": false,
2419
+ "special": false
2420
+ },
2421
+ "151945": {
2422
+ "content": "<seg023>",
2423
+ "lstrip": false,
2424
+ "normalized": true,
2425
+ "rstrip": false,
2426
+ "single_word": false,
2427
+ "special": false
2428
+ },
2429
+ "151946": {
2430
+ "content": "<seg024>",
2431
+ "lstrip": false,
2432
+ "normalized": true,
2433
+ "rstrip": false,
2434
+ "single_word": false,
2435
+ "special": false
2436
+ },
2437
+ "151947": {
2438
+ "content": "<seg025>",
2439
+ "lstrip": false,
2440
+ "normalized": true,
2441
+ "rstrip": false,
2442
+ "single_word": false,
2443
+ "special": false
2444
+ },
2445
+ "151948": {
2446
+ "content": "<seg026>",
2447
+ "lstrip": false,
2448
+ "normalized": true,
2449
+ "rstrip": false,
2450
+ "single_word": false,
2451
+ "special": false
2452
+ },
2453
+ "151949": {
2454
+ "content": "<seg027>",
2455
+ "lstrip": false,
2456
+ "normalized": true,
2457
+ "rstrip": false,
2458
+ "single_word": false,
2459
+ "special": false
2460
+ },
2461
+ "151950": {
2462
+ "content": "<seg028>",
2463
+ "lstrip": false,
2464
+ "normalized": true,
2465
+ "rstrip": false,
2466
+ "single_word": false,
2467
+ "special": false
2468
+ },
2469
+ "151951": {
2470
+ "content": "<seg029>",
2471
+ "lstrip": false,
2472
+ "normalized": true,
2473
+ "rstrip": false,
2474
+ "single_word": false,
2475
+ "special": false
2476
+ },
2477
+ "151952": {
2478
+ "content": "<seg030>",
2479
+ "lstrip": false,
2480
+ "normalized": true,
2481
+ "rstrip": false,
2482
+ "single_word": false,
2483
+ "special": false
2484
+ },
2485
+ "151953": {
2486
+ "content": "<seg031>",
2487
+ "lstrip": false,
2488
+ "normalized": true,
2489
+ "rstrip": false,
2490
+ "single_word": false,
2491
+ "special": false
2492
+ },
2493
+ "151954": {
2494
+ "content": "<seg032>",
2495
+ "lstrip": false,
2496
+ "normalized": true,
2497
+ "rstrip": false,
2498
+ "single_word": false,
2499
+ "special": false
2500
+ },
2501
+ "151955": {
2502
+ "content": "<seg033>",
2503
+ "lstrip": false,
2504
+ "normalized": true,
2505
+ "rstrip": false,
2506
+ "single_word": false,
2507
+ "special": false
2508
+ },
2509
+ "151956": {
2510
+ "content": "<seg034>",
2511
+ "lstrip": false,
2512
+ "normalized": true,
2513
+ "rstrip": false,
2514
+ "single_word": false,
2515
+ "special": false
2516
+ },
2517
+ "151957": {
2518
+ "content": "<seg035>",
2519
+ "lstrip": false,
2520
+ "normalized": true,
2521
+ "rstrip": false,
2522
+ "single_word": false,
2523
+ "special": false
2524
+ },
2525
+ "151958": {
2526
+ "content": "<seg036>",
2527
+ "lstrip": false,
2528
+ "normalized": true,
2529
+ "rstrip": false,
2530
+ "single_word": false,
2531
+ "special": false
2532
+ },
2533
+ "151959": {
2534
+ "content": "<seg037>",
2535
+ "lstrip": false,
2536
+ "normalized": true,
2537
+ "rstrip": false,
2538
+ "single_word": false,
2539
+ "special": false
2540
+ },
2541
+ "151960": {
2542
+ "content": "<seg038>",
2543
+ "lstrip": false,
2544
+ "normalized": true,
2545
+ "rstrip": false,
2546
+ "single_word": false,
2547
+ "special": false
2548
+ },
2549
+ "151961": {
2550
+ "content": "<seg039>",
2551
+ "lstrip": false,
2552
+ "normalized": true,
2553
+ "rstrip": false,
2554
+ "single_word": false,
2555
+ "special": false
2556
+ },
2557
+ "151962": {
2558
+ "content": "<seg040>",
2559
+ "lstrip": false,
2560
+ "normalized": true,
2561
+ "rstrip": false,
2562
+ "single_word": false,
2563
+ "special": false
2564
+ },
2565
+ "151963": {
2566
+ "content": "<seg041>",
2567
+ "lstrip": false,
2568
+ "normalized": true,
2569
+ "rstrip": false,
2570
+ "single_word": false,
2571
+ "special": false
2572
+ },
2573
+ "151964": {
2574
+ "content": "<seg042>",
2575
+ "lstrip": false,
2576
+ "normalized": true,
2577
+ "rstrip": false,
2578
+ "single_word": false,
2579
+ "special": false
2580
+ },
2581
+ "151965": {
2582
+ "content": "<seg043>",
2583
+ "lstrip": false,
2584
+ "normalized": true,
2585
+ "rstrip": false,
2586
+ "single_word": false,
2587
+ "special": false
2588
+ },
2589
+ "151966": {
2590
+ "content": "<seg044>",
2591
+ "lstrip": false,
2592
+ "normalized": true,
2593
+ "rstrip": false,
2594
+ "single_word": false,
2595
+ "special": false
2596
+ },
2597
+ "151967": {
2598
+ "content": "<seg045>",
2599
+ "lstrip": false,
2600
+ "normalized": true,
2601
+ "rstrip": false,
2602
+ "single_word": false,
2603
+ "special": false
2604
+ },
2605
+ "151968": {
2606
+ "content": "<seg046>",
2607
+ "lstrip": false,
2608
+ "normalized": true,
2609
+ "rstrip": false,
2610
+ "single_word": false,
2611
+ "special": false
2612
+ },
2613
+ "151969": {
2614
+ "content": "<seg047>",
2615
+ "lstrip": false,
2616
+ "normalized": true,
2617
+ "rstrip": false,
2618
+ "single_word": false,
2619
+ "special": false
2620
+ },
2621
+ "151970": {
2622
+ "content": "<seg048>",
2623
+ "lstrip": false,
2624
+ "normalized": true,
2625
+ "rstrip": false,
2626
+ "single_word": false,
2627
+ "special": false
2628
+ },
2629
+ "151971": {
2630
+ "content": "<seg049>",
2631
+ "lstrip": false,
2632
+ "normalized": true,
2633
+ "rstrip": false,
2634
+ "single_word": false,
2635
+ "special": false
2636
+ },
2637
+ "151972": {
2638
+ "content": "<seg050>",
2639
+ "lstrip": false,
2640
+ "normalized": true,
2641
+ "rstrip": false,
2642
+ "single_word": false,
2643
+ "special": false
2644
+ },
2645
+ "151973": {
2646
+ "content": "<seg051>",
2647
+ "lstrip": false,
2648
+ "normalized": true,
2649
+ "rstrip": false,
2650
+ "single_word": false,
2651
+ "special": false
2652
+ },
2653
+ "151974": {
2654
+ "content": "<seg052>",
2655
+ "lstrip": false,
2656
+ "normalized": true,
2657
+ "rstrip": false,
2658
+ "single_word": false,
2659
+ "special": false
2660
+ },
2661
+ "151975": {
2662
+ "content": "<seg053>",
2663
+ "lstrip": false,
2664
+ "normalized": true,
2665
+ "rstrip": false,
2666
+ "single_word": false,
2667
+ "special": false
2668
+ },
2669
+ "151976": {
2670
+ "content": "<seg054>",
2671
+ "lstrip": false,
2672
+ "normalized": true,
2673
+ "rstrip": false,
2674
+ "single_word": false,
2675
+ "special": false
2676
+ },
2677
+ "151977": {
2678
+ "content": "<seg055>",
2679
+ "lstrip": false,
2680
+ "normalized": true,
2681
+ "rstrip": false,
2682
+ "single_word": false,
2683
+ "special": false
2684
+ },
2685
+ "151978": {
2686
+ "content": "<seg056>",
2687
+ "lstrip": false,
2688
+ "normalized": true,
2689
+ "rstrip": false,
2690
+ "single_word": false,
2691
+ "special": false
2692
+ },
2693
+ "151979": {
2694
+ "content": "<seg057>",
2695
+ "lstrip": false,
2696
+ "normalized": true,
2697
+ "rstrip": false,
2698
+ "single_word": false,
2699
+ "special": false
2700
+ },
2701
+ "151980": {
2702
+ "content": "<seg058>",
2703
+ "lstrip": false,
2704
+ "normalized": true,
2705
+ "rstrip": false,
2706
+ "single_word": false,
2707
+ "special": false
2708
+ },
2709
+ "151981": {
2710
+ "content": "<seg059>",
2711
+ "lstrip": false,
2712
+ "normalized": true,
2713
+ "rstrip": false,
2714
+ "single_word": false,
2715
+ "special": false
2716
+ },
2717
+ "151982": {
2718
+ "content": "<seg060>",
2719
+ "lstrip": false,
2720
+ "normalized": true,
2721
+ "rstrip": false,
2722
+ "single_word": false,
2723
+ "special": false
2724
+ },
2725
+ "151983": {
2726
+ "content": "<seg061>",
2727
+ "lstrip": false,
2728
+ "normalized": true,
2729
+ "rstrip": false,
2730
+ "single_word": false,
2731
+ "special": false
2732
+ },
2733
+ "151984": {
2734
+ "content": "<seg062>",
2735
+ "lstrip": false,
2736
+ "normalized": true,
2737
+ "rstrip": false,
2738
+ "single_word": false,
2739
+ "special": false
2740
+ },
2741
+ "151985": {
2742
+ "content": "<seg063>",
2743
+ "lstrip": false,
2744
+ "normalized": true,
2745
+ "rstrip": false,
2746
+ "single_word": false,
2747
+ "special": false
2748
+ },
2749
+ "151986": {
2750
+ "content": "<seg064>",
2751
+ "lstrip": false,
2752
+ "normalized": true,
2753
+ "rstrip": false,
2754
+ "single_word": false,
2755
+ "special": false
2756
+ },
2757
+ "151987": {
2758
+ "content": "<seg065>",
2759
+ "lstrip": false,
2760
+ "normalized": true,
2761
+ "rstrip": false,
2762
+ "single_word": false,
2763
+ "special": false
2764
+ },
2765
+ "151988": {
2766
+ "content": "<seg066>",
2767
+ "lstrip": false,
2768
+ "normalized": true,
2769
+ "rstrip": false,
2770
+ "single_word": false,
2771
+ "special": false
2772
+ },
2773
+ "151989": {
2774
+ "content": "<seg067>",
2775
+ "lstrip": false,
2776
+ "normalized": true,
2777
+ "rstrip": false,
2778
+ "single_word": false,
2779
+ "special": false
2780
+ },
2781
+ "151990": {
2782
+ "content": "<seg068>",
2783
+ "lstrip": false,
2784
+ "normalized": true,
2785
+ "rstrip": false,
2786
+ "single_word": false,
2787
+ "special": false
2788
+ },
2789
+ "151991": {
2790
+ "content": "<seg069>",
2791
+ "lstrip": false,
2792
+ "normalized": true,
2793
+ "rstrip": false,
2794
+ "single_word": false,
2795
+ "special": false
2796
+ },
2797
+ "151992": {
2798
+ "content": "<seg070>",
2799
+ "lstrip": false,
2800
+ "normalized": true,
2801
+ "rstrip": false,
2802
+ "single_word": false,
2803
+ "special": false
2804
+ },
2805
+ "151993": {
2806
+ "content": "<seg071>",
2807
+ "lstrip": false,
2808
+ "normalized": true,
2809
+ "rstrip": false,
2810
+ "single_word": false,
2811
+ "special": false
2812
+ },
2813
+ "151994": {
2814
+ "content": "<seg072>",
2815
+ "lstrip": false,
2816
+ "normalized": true,
2817
+ "rstrip": false,
2818
+ "single_word": false,
2819
+ "special": false
2820
+ },
2821
+ "151995": {
2822
+ "content": "<seg073>",
2823
+ "lstrip": false,
2824
+ "normalized": true,
2825
+ "rstrip": false,
2826
+ "single_word": false,
2827
+ "special": false
2828
+ },
2829
+ "151996": {
2830
+ "content": "<seg074>",
2831
+ "lstrip": false,
2832
+ "normalized": true,
2833
+ "rstrip": false,
2834
+ "single_word": false,
2835
+ "special": false
2836
+ },
2837
+ "151997": {
2838
+ "content": "<seg075>",
2839
+ "lstrip": false,
2840
+ "normalized": true,
2841
+ "rstrip": false,
2842
+ "single_word": false,
2843
+ "special": false
2844
+ },
2845
+ "151998": {
2846
+ "content": "<seg076>",
2847
+ "lstrip": false,
2848
+ "normalized": true,
2849
+ "rstrip": false,
2850
+ "single_word": false,
2851
+ "special": false
2852
+ },
2853
+ "151999": {
2854
+ "content": "<seg077>",
2855
+ "lstrip": false,
2856
+ "normalized": true,
2857
+ "rstrip": false,
2858
+ "single_word": false,
2859
+ "special": false
2860
+ },
2861
+ "152000": {
2862
+ "content": "<seg078>",
2863
+ "lstrip": false,
2864
+ "normalized": true,
2865
+ "rstrip": false,
2866
+ "single_word": false,
2867
+ "special": false
2868
+ },
2869
+ "152001": {
2870
+ "content": "<seg079>",
2871
+ "lstrip": false,
2872
+ "normalized": true,
2873
+ "rstrip": false,
2874
+ "single_word": false,
2875
+ "special": false
2876
+ },
2877
+ "152002": {
2878
+ "content": "<seg080>",
2879
+ "lstrip": false,
2880
+ "normalized": true,
2881
+ "rstrip": false,
2882
+ "single_word": false,
2883
+ "special": false
2884
+ },
2885
+ "152003": {
2886
+ "content": "<seg081>",
2887
+ "lstrip": false,
2888
+ "normalized": true,
2889
+ "rstrip": false,
2890
+ "single_word": false,
2891
+ "special": false
2892
+ },
2893
+ "152004": {
2894
+ "content": "<seg082>",
2895
+ "lstrip": false,
2896
+ "normalized": true,
2897
+ "rstrip": false,
2898
+ "single_word": false,
2899
+ "special": false
2900
+ },
2901
+ "152005": {
2902
+ "content": "<seg083>",
2903
+ "lstrip": false,
2904
+ "normalized": true,
2905
+ "rstrip": false,
2906
+ "single_word": false,
2907
+ "special": false
2908
+ },
2909
+ "152006": {
2910
+ "content": "<seg084>",
2911
+ "lstrip": false,
2912
+ "normalized": true,
2913
+ "rstrip": false,
2914
+ "single_word": false,
2915
+ "special": false
2916
+ },
2917
+ "152007": {
2918
+ "content": "<seg085>",
2919
+ "lstrip": false,
2920
+ "normalized": true,
2921
+ "rstrip": false,
2922
+ "single_word": false,
2923
+ "special": false
2924
+ },
2925
+ "152008": {
2926
+ "content": "<seg086>",
2927
+ "lstrip": false,
2928
+ "normalized": true,
2929
+ "rstrip": false,
2930
+ "single_word": false,
2931
+ "special": false
2932
+ },
2933
+ "152009": {
2934
+ "content": "<seg087>",
2935
+ "lstrip": false,
2936
+ "normalized": true,
2937
+ "rstrip": false,
2938
+ "single_word": false,
2939
+ "special": false
2940
+ },
2941
+ "152010": {
2942
+ "content": "<seg088>",
2943
+ "lstrip": false,
2944
+ "normalized": true,
2945
+ "rstrip": false,
2946
+ "single_word": false,
2947
+ "special": false
2948
+ },
2949
+ "152011": {
2950
+ "content": "<seg089>",
2951
+ "lstrip": false,
2952
+ "normalized": true,
2953
+ "rstrip": false,
2954
+ "single_word": false,
2955
+ "special": false
2956
+ },
2957
+ "152012": {
2958
+ "content": "<seg090>",
2959
+ "lstrip": false,
2960
+ "normalized": true,
2961
+ "rstrip": false,
2962
+ "single_word": false,
2963
+ "special": false
2964
+ },
2965
+ "152013": {
2966
+ "content": "<seg091>",
2967
+ "lstrip": false,
2968
+ "normalized": true,
2969
+ "rstrip": false,
2970
+ "single_word": false,
2971
+ "special": false
2972
+ },
2973
+ "152014": {
2974
+ "content": "<seg092>",
2975
+ "lstrip": false,
2976
+ "normalized": true,
2977
+ "rstrip": false,
2978
+ "single_word": false,
2979
+ "special": false
2980
+ },
2981
+ "152015": {
2982
+ "content": "<seg093>",
2983
+ "lstrip": false,
2984
+ "normalized": true,
2985
+ "rstrip": false,
2986
+ "single_word": false,
2987
+ "special": false
2988
+ },
2989
+ "152016": {
2990
+ "content": "<seg094>",
2991
+ "lstrip": false,
2992
+ "normalized": true,
2993
+ "rstrip": false,
2994
+ "single_word": false,
2995
+ "special": false
2996
+ },
2997
+ "152017": {
2998
+ "content": "<seg095>",
2999
+ "lstrip": false,
3000
+ "normalized": true,
3001
+ "rstrip": false,
3002
+ "single_word": false,
3003
+ "special": false
3004
+ },
3005
+ "152018": {
3006
+ "content": "<seg096>",
3007
+ "lstrip": false,
3008
+ "normalized": true,
3009
+ "rstrip": false,
3010
+ "single_word": false,
3011
+ "special": false
3012
+ },
3013
+ "152019": {
3014
+ "content": "<seg097>",
3015
+ "lstrip": false,
3016
+ "normalized": true,
3017
+ "rstrip": false,
3018
+ "single_word": false,
3019
+ "special": false
3020
+ },
3021
+ "152020": {
3022
+ "content": "<seg098>",
3023
+ "lstrip": false,
3024
+ "normalized": true,
3025
+ "rstrip": false,
3026
+ "single_word": false,
3027
+ "special": false
3028
+ },
3029
+ "152021": {
3030
+ "content": "<seg099>",
3031
+ "lstrip": false,
3032
+ "normalized": true,
3033
+ "rstrip": false,
3034
+ "single_word": false,
3035
+ "special": false
3036
+ },
3037
+ "152022": {
3038
+ "content": "<seg100>",
3039
+ "lstrip": false,
3040
+ "normalized": true,
3041
+ "rstrip": false,
3042
+ "single_word": false,
3043
+ "special": false
3044
+ },
3045
+ "152023": {
3046
+ "content": "<seg101>",
3047
+ "lstrip": false,
3048
+ "normalized": true,
3049
+ "rstrip": false,
3050
+ "single_word": false,
3051
+ "special": false
3052
+ },
3053
+ "152024": {
3054
+ "content": "<seg102>",
3055
+ "lstrip": false,
3056
+ "normalized": true,
3057
+ "rstrip": false,
3058
+ "single_word": false,
3059
+ "special": false
3060
+ },
3061
+ "152025": {
3062
+ "content": "<seg103>",
3063
+ "lstrip": false,
3064
+ "normalized": true,
3065
+ "rstrip": false,
3066
+ "single_word": false,
3067
+ "special": false
3068
+ },
3069
+ "152026": {
3070
+ "content": "<seg104>",
3071
+ "lstrip": false,
3072
+ "normalized": true,
3073
+ "rstrip": false,
3074
+ "single_word": false,
3075
+ "special": false
3076
+ },
3077
+ "152027": {
3078
+ "content": "<seg105>",
3079
+ "lstrip": false,
3080
+ "normalized": true,
3081
+ "rstrip": false,
3082
+ "single_word": false,
3083
+ "special": false
3084
+ },
3085
+ "152028": {
3086
+ "content": "<seg106>",
3087
+ "lstrip": false,
3088
+ "normalized": true,
3089
+ "rstrip": false,
3090
+ "single_word": false,
3091
+ "special": false
3092
+ },
3093
+ "152029": {
3094
+ "content": "<seg107>",
3095
+ "lstrip": false,
3096
+ "normalized": true,
3097
+ "rstrip": false,
3098
+ "single_word": false,
3099
+ "special": false
3100
+ },
3101
+ "152030": {
3102
+ "content": "<seg108>",
3103
+ "lstrip": false,
3104
+ "normalized": true,
3105
+ "rstrip": false,
3106
+ "single_word": false,
3107
+ "special": false
3108
+ },
3109
+ "152031": {
3110
+ "content": "<seg109>",
3111
+ "lstrip": false,
3112
+ "normalized": true,
3113
+ "rstrip": false,
3114
+ "single_word": false,
3115
+ "special": false
3116
+ },
3117
+ "152032": {
3118
+ "content": "<seg110>",
3119
+ "lstrip": false,
3120
+ "normalized": true,
3121
+ "rstrip": false,
3122
+ "single_word": false,
3123
+ "special": false
3124
+ },
3125
+ "152033": {
3126
+ "content": "<seg111>",
3127
+ "lstrip": false,
3128
+ "normalized": true,
3129
+ "rstrip": false,
3130
+ "single_word": false,
3131
+ "special": false
3132
+ },
3133
+ "152034": {
3134
+ "content": "<seg112>",
3135
+ "lstrip": false,
3136
+ "normalized": true,
3137
+ "rstrip": false,
3138
+ "single_word": false,
3139
+ "special": false
3140
+ },
3141
+ "152035": {
3142
+ "content": "<seg113>",
3143
+ "lstrip": false,
3144
+ "normalized": true,
3145
+ "rstrip": false,
3146
+ "single_word": false,
3147
+ "special": false
3148
+ },
3149
+ "152036": {
3150
+ "content": "<seg114>",
3151
+ "lstrip": false,
3152
+ "normalized": true,
3153
+ "rstrip": false,
3154
+ "single_word": false,
3155
+ "special": false
3156
+ },
3157
+ "152037": {
3158
+ "content": "<seg115>",
3159
+ "lstrip": false,
3160
+ "normalized": true,
3161
+ "rstrip": false,
3162
+ "single_word": false,
3163
+ "special": false
3164
+ },
3165
+ "152038": {
3166
+ "content": "<seg116>",
3167
+ "lstrip": false,
3168
+ "normalized": true,
3169
+ "rstrip": false,
3170
+ "single_word": false,
3171
+ "special": false
3172
+ },
3173
+ "152039": {
3174
+ "content": "<seg117>",
3175
+ "lstrip": false,
3176
+ "normalized": true,
3177
+ "rstrip": false,
3178
+ "single_word": false,
3179
+ "special": false
3180
+ },
3181
+ "152040": {
3182
+ "content": "<seg118>",
3183
+ "lstrip": false,
3184
+ "normalized": true,
3185
+ "rstrip": false,
3186
+ "single_word": false,
3187
+ "special": false
3188
+ },
3189
+ "152041": {
3190
+ "content": "<seg119>",
3191
+ "lstrip": false,
3192
+ "normalized": true,
3193
+ "rstrip": false,
3194
+ "single_word": false,
3195
+ "special": false
3196
+ },
3197
+ "152042": {
3198
+ "content": "<seg120>",
3199
+ "lstrip": false,
3200
+ "normalized": true,
3201
+ "rstrip": false,
3202
+ "single_word": false,
3203
+ "special": false
3204
+ },
3205
+ "152043": {
3206
+ "content": "<seg121>",
3207
+ "lstrip": false,
3208
+ "normalized": true,
3209
+ "rstrip": false,
3210
+ "single_word": false,
3211
+ "special": false
3212
+ },
3213
+ "152044": {
3214
+ "content": "<seg122>",
3215
+ "lstrip": false,
3216
+ "normalized": true,
3217
+ "rstrip": false,
3218
+ "single_word": false,
3219
+ "special": false
3220
+ },
3221
+ "152045": {
3222
+ "content": "<seg123>",
3223
+ "lstrip": false,
3224
+ "normalized": true,
3225
+ "rstrip": false,
3226
+ "single_word": false,
3227
+ "special": false
3228
+ },
3229
+ "152046": {
3230
+ "content": "<seg124>",
3231
+ "lstrip": false,
3232
+ "normalized": true,
3233
+ "rstrip": false,
3234
+ "single_word": false,
3235
+ "special": false
3236
+ },
3237
+ "152047": {
3238
+ "content": "<seg125>",
3239
+ "lstrip": false,
3240
+ "normalized": true,
3241
+ "rstrip": false,
3242
+ "single_word": false,
3243
+ "special": false
3244
+ },
3245
+ "152048": {
3246
+ "content": "<seg126>",
3247
+ "lstrip": false,
3248
+ "normalized": true,
3249
+ "rstrip": false,
3250
+ "single_word": false,
3251
+ "special": false
3252
+ },
3253
+ "152049": {
3254
+ "content": "<seg127>",
3255
+ "lstrip": false,
3256
+ "normalized": true,
3257
+ "rstrip": false,
3258
+ "single_word": false,
3259
+ "special": false
3260
+ },
3261
+ "152050": {
3262
+ "content": "<seg_end>",
3263
+ "lstrip": false,
3264
+ "normalized": true,
3265
+ "rstrip": false,
3266
+ "single_word": false,
3267
+ "special": false
3268
+ },
3269
+ "152051": {
3270
+ "content": "<bstate>",
3271
+ "lstrip": false,
3272
+ "normalized": true,
3273
+ "rstrip": false,
3274
+ "single_word": false,
3275
+ "special": false
3276
+ },
3277
+ "152052": {
3278
+ "content": "<estate>",
3279
+ "lstrip": false,
3280
+ "normalized": true,
3281
+ "rstrip": false,
3282
+ "single_word": false,
3283
+ "special": false
3284
+ },
3285
+ "152053": {
3286
+ "content": "<bjoint>",
3287
+ "lstrip": false,
3288
+ "normalized": true,
3289
+ "rstrip": false,
3290
+ "single_word": false,
3291
+ "special": false
3292
+ },
3293
+ "152054": {
3294
+ "content": "<ejoint>",
3295
+ "lstrip": false,
3296
+ "normalized": true,
3297
+ "rstrip": false,
3298
+ "single_word": false,
3299
+ "special": false
3300
+ },
3301
+ "152055": {
3302
+ "content": "<bpos>",
3303
+ "lstrip": false,
3304
+ "normalized": true,
3305
+ "rstrip": false,
3306
+ "single_word": false,
3307
+ "special": false
3308
+ },
3309
+ "152056": {
3310
+ "content": "<epos>",
3311
+ "lstrip": false,
3312
+ "normalized": true,
3313
+ "rstrip": false,
3314
+ "single_word": false,
3315
+ "special": false
3316
+ },
3317
+ "152057": {
3318
+ "content": "<brpy>",
3319
+ "lstrip": false,
3320
+ "normalized": true,
3321
+ "rstrip": false,
3322
+ "single_word": false,
3323
+ "special": false
3324
+ },
3325
+ "152058": {
3326
+ "content": "<erpy>",
3327
+ "lstrip": false,
3328
+ "normalized": true,
3329
+ "rstrip": false,
3330
+ "single_word": false,
3331
+ "special": false
3332
+ },
3333
+ "152059": {
3334
+ "content": "<bgripper>",
3335
+ "lstrip": false,
3336
+ "normalized": true,
3337
+ "rstrip": false,
3338
+ "single_word": false,
3339
+ "special": false
3340
+ },
3341
+ "152060": {
3342
+ "content": "<egripper>",
3343
+ "lstrip": false,
3344
+ "normalized": true,
3345
+ "rstrip": false,
3346
+ "single_word": false,
3347
+ "special": false
3348
+ }
3349
+ },
3350
+ "additional_special_tokens": [
3351
+ "<|im_start|>",
3352
+ "<|im_end|>",
3353
+ "<|object_ref_start|>",
3354
+ "<|object_ref_end|>",
3355
+ "<|box_start|>",
3356
+ "<|box_end|>",
3357
+ "<|quad_start|>",
3358
+ "<|quad_end|>",
3359
+ "<|vision_start|>",
3360
+ "<|vision_end|>",
3361
+ "<|vision_pad|>",
3362
+ "<|image_pad|>",
3363
+ "<|video_pad|>"
3364
+ ],
3365
+ "bos_token": null,
3366
+ "clean_up_tokenization_spaces": false,
3367
+ "eos_token": "<|im_end|>",
3368
+ "errors": "replace",
3369
+ "extra_special_tokens": {},
3370
+ "model_max_length": 131072,
3371
+ "pad_token": "<|endoftext|>",
3372
+ "padding_side": "right",
3373
+ "processor_class": "Qwen2_5_VLProcessor",
3374
+ "split_special_tokens": false,
3375
+ "tokenizer_class": "Qwen2Tokenizer",
3376
+ "unk_token": null
3377
+ }
video_preprocessor_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": null,
3
+ "data_format": "channels_first",
4
+ "default_to_square": true,
5
+ "device": null,
6
+ "do_center_crop": null,
7
+ "do_convert_rgb": true,
8
+ "do_normalize": true,
9
+ "do_pad": null,
10
+ "do_rescale": true,
11
+ "do_resize": true,
12
+ "do_sample_frames": false,
13
+ "fps": null,
14
+ "image_mean": [
15
+ 0.48145466,
16
+ 0.4578275,
17
+ 0.40821073
18
+ ],
19
+ "image_std": [
20
+ 0.26862954,
21
+ 0.26130258,
22
+ 0.27577711
23
+ ],
24
+ "input_data_format": null,
25
+ "max_frames": 768,
26
+ "max_pixels": 12845056,
27
+ "merge_size": 2,
28
+ "min_frames": 4,
29
+ "min_pixels": 3136,
30
+ "num_frames": null,
31
+ "patch_size": 14,
32
+ "processor_class": "Qwen2_5_VLProcessor",
33
+ "resample": 3,
34
+ "rescale_factor": 0.00392156862745098,
35
+ "return_metadata": false,
36
+ "size": {
37
+ "longest_edge": 12845056,
38
+ "shortest_edge": 3136
39
+ },
40
+ "size_divisor": null,
41
+ "temporal_patch_size": 2,
42
+ "video_metadata": null,
43
+ "video_processor_type": "Qwen2VLVideoProcessor"
44
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
zero_to_fp32.py ADDED
@@ -0,0 +1,760 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python
2
+
3
+ # Copyright (c) Microsoft Corporation.
4
+ # SPDX-License-Identifier: Apache-2.0
5
+
6
+ # DeepSpeed Team
7
+
8
+ # This script extracts fp32 consolidated weights from a zero 1, 2 and 3 DeepSpeed checkpoints. It gets
9
+ # copied into the top level checkpoint dir, so the user can easily do the conversion at any point in
10
+ # the future. Once extracted, the weights don't require DeepSpeed and can be used in any
11
+ # application.
12
+ #
13
+ # example:
14
+ # python zero_to_fp32.py . output_dir/
15
+ # or
16
+ # python zero_to_fp32.py . output_dir/ --safe_serialization
17
+
18
+ import argparse
19
+ import torch
20
+ import glob
21
+ import math
22
+ import os
23
+ import re
24
+ import gc
25
+ import json
26
+ import numpy as np
27
+ from tqdm import tqdm
28
+ from collections import OrderedDict
29
+ from dataclasses import dataclass
30
+
31
+ # while this script doesn't use deepspeed to recover data, since the checkpoints are pickled with
32
+ # DeepSpeed data structures it has to be available in the current python environment.
33
+ from deepspeed.utils import logger
34
+ from deepspeed.checkpoint.constants import (DS_VERSION, OPTIMIZER_STATE_DICT, SINGLE_PARTITION_OF_FP32_GROUPS,
35
+ FP32_FLAT_GROUPS, ZERO_STAGE, PARTITION_COUNT, PARAM_SHAPES, BUFFER_NAMES,
36
+ FROZEN_PARAM_SHAPES, FROZEN_PARAM_FRAGMENTS)
37
+
38
+
39
+ @dataclass
40
+ class zero_model_state:
41
+ buffers: dict()
42
+ param_shapes: dict()
43
+ shared_params: list
44
+ ds_version: int
45
+ frozen_param_shapes: dict()
46
+ frozen_param_fragments: dict()
47
+
48
+
49
+ debug = 0
50
+
51
+ # load to cpu
52
+ device = torch.device('cpu')
53
+
54
+
55
+ def atoi(text):
56
+ return int(text) if text.isdigit() else text
57
+
58
+
59
+ def natural_keys(text):
60
+ '''
61
+ alist.sort(key=natural_keys) sorts in human order
62
+ http://nedbatchelder.com/blog/200712/human_sorting.html
63
+ (See Toothy's implementation in the comments)
64
+ '''
65
+ return [atoi(c) for c in re.split(r'(\d+)', text)]
66
+
67
+
68
+ def get_model_state_file(checkpoint_dir, zero_stage):
69
+ if not os.path.isdir(checkpoint_dir):
70
+ raise FileNotFoundError(f"Directory '{checkpoint_dir}' doesn't exist")
71
+
72
+ # there should be only one file
73
+ if zero_stage <= 2:
74
+ file = os.path.join(checkpoint_dir, "mp_rank_00_model_states.pt")
75
+ elif zero_stage == 3:
76
+ file = os.path.join(checkpoint_dir, "zero_pp_rank_0_mp_rank_00_model_states.pt")
77
+
78
+ if not os.path.exists(file):
79
+ raise FileNotFoundError(f"can't find model states file at '{file}'")
80
+
81
+ return file
82
+
83
+
84
+ def get_checkpoint_files(checkpoint_dir, glob_pattern):
85
+ # XXX: need to test that this simple glob rule works for multi-node setup too
86
+ ckpt_files = sorted(glob.glob(os.path.join(checkpoint_dir, glob_pattern)), key=natural_keys)
87
+
88
+ if len(ckpt_files) == 0:
89
+ raise FileNotFoundError(f"can't find {glob_pattern} files in directory '{checkpoint_dir}'")
90
+
91
+ return ckpt_files
92
+
93
+
94
+ def get_optim_files(checkpoint_dir):
95
+ return get_checkpoint_files(checkpoint_dir, "*_optim_states.pt")
96
+
97
+
98
+ def get_model_state_files(checkpoint_dir):
99
+ return get_checkpoint_files(checkpoint_dir, "*_model_states.pt")
100
+
101
+
102
+ def parse_model_states(files):
103
+ zero_model_states = []
104
+ for file in files:
105
+ state_dict = torch.load(file, map_location=device, weights_only=False)
106
+
107
+ if BUFFER_NAMES not in state_dict:
108
+ raise ValueError(f"{file} is not a model state checkpoint")
109
+ buffer_names = state_dict[BUFFER_NAMES]
110
+ if debug:
111
+ print("Found buffers:", buffer_names)
112
+
113
+ # recover just the buffers while restoring them to fp32 if they were saved in fp16
114
+ buffers = {k: v.float() for k, v in state_dict["module"].items() if k in buffer_names}
115
+ param_shapes = state_dict[PARAM_SHAPES]
116
+
117
+ # collect parameters that are included in param_shapes
118
+ param_names = []
119
+ for s in param_shapes:
120
+ for name in s.keys():
121
+ param_names.append(name)
122
+
123
+ # update with frozen parameters
124
+ frozen_param_shapes = state_dict.get(FROZEN_PARAM_SHAPES, None)
125
+ if frozen_param_shapes is not None:
126
+ if debug:
127
+ print(f"Found frozen_param_shapes: {frozen_param_shapes}")
128
+ param_names += list(frozen_param_shapes.keys())
129
+
130
+ # handle shared params
131
+ shared_params = [[k, v] for k, v in state_dict["shared_params"].items()]
132
+
133
+ ds_version = state_dict.get(DS_VERSION, None)
134
+
135
+ frozen_param_fragments = state_dict.get(FROZEN_PARAM_FRAGMENTS, None)
136
+
137
+ z_model_state = zero_model_state(buffers=buffers,
138
+ param_shapes=param_shapes,
139
+ shared_params=shared_params,
140
+ ds_version=ds_version,
141
+ frozen_param_shapes=frozen_param_shapes,
142
+ frozen_param_fragments=frozen_param_fragments)
143
+ zero_model_states.append(z_model_state)
144
+
145
+ return zero_model_states
146
+
147
+
148
+ def parse_optim_states(files, ds_checkpoint_dir):
149
+ total_files = len(files)
150
+ state_dicts = []
151
+ for f in tqdm(files, desc='Loading checkpoint shards'):
152
+ state_dict = torch.load(f, map_location=device, mmap=True, weights_only=False)
153
+ # immediately discard the potentially huge 2 optimizer states as we only care for fp32 master weights
154
+ # and also handle the case where it was already removed by another helper script
155
+ state_dict["optimizer_state_dict"].pop("optimizer_state_dict", None)
156
+ state_dicts.append(state_dict)
157
+
158
+ if ZERO_STAGE not in state_dicts[0][OPTIMIZER_STATE_DICT]:
159
+ raise ValueError(f"{files[0]} is not a zero checkpoint")
160
+ zero_stage = state_dicts[0][OPTIMIZER_STATE_DICT][ZERO_STAGE]
161
+ world_size = state_dicts[0][OPTIMIZER_STATE_DICT][PARTITION_COUNT]
162
+
163
+ # For ZeRO-2 each param group can have different partition_count as data parallelism for expert
164
+ # parameters can be different from data parallelism for non-expert parameters. So we can just
165
+ # use the max of the partition_count to get the dp world_size.
166
+
167
+ if type(world_size) is list:
168
+ world_size = max(world_size)
169
+
170
+ if world_size != total_files:
171
+ raise ValueError(
172
+ f"Expected {world_size} of '*_optim_states.pt' under '{ds_checkpoint_dir}' but found {total_files} files. "
173
+ "Possibly due to an overwrite of an old checkpoint, or a checkpoint didn't get saved by one or more processes."
174
+ )
175
+
176
+ # the groups are named differently in each stage
177
+ if zero_stage <= 2:
178
+ fp32_groups_key = SINGLE_PARTITION_OF_FP32_GROUPS
179
+ elif zero_stage == 3:
180
+ fp32_groups_key = FP32_FLAT_GROUPS
181
+ else:
182
+ raise ValueError(f"unknown zero stage {zero_stage}")
183
+
184
+ fp32_flat_groups = [state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key] for i in range(len(state_dicts))]
185
+ return zero_stage, world_size, fp32_flat_groups
186
+
187
+
188
+ def _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters):
189
+ """
190
+ Returns fp32 state_dict reconstructed from ds checkpoint
191
+
192
+ Args:
193
+ - ``ds_checkpoint_dir``: path to the deepspeed checkpoint folder (where the optimizer files are)
194
+
195
+ """
196
+ print(f"Processing zero checkpoint '{ds_checkpoint_dir}'")
197
+
198
+ optim_files = get_optim_files(ds_checkpoint_dir)
199
+ zero_stage, world_size, fp32_flat_groups = parse_optim_states(optim_files, ds_checkpoint_dir)
200
+ print(f"Detected checkpoint of type zero stage {zero_stage}, world_size: {world_size}")
201
+
202
+ model_files = get_model_state_files(ds_checkpoint_dir)
203
+
204
+ zero_model_states = parse_model_states(model_files)
205
+ print(f'Parsing checkpoint created by deepspeed=={zero_model_states[0].ds_version}')
206
+
207
+ if zero_stage <= 2:
208
+ return _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
209
+ exclude_frozen_parameters)
210
+ elif zero_stage == 3:
211
+ return _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
212
+ exclude_frozen_parameters)
213
+
214
+
215
+ def _zero2_merge_frozen_params(state_dict, zero_model_states):
216
+ if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
217
+ return
218
+
219
+ frozen_param_shapes = zero_model_states[0].frozen_param_shapes
220
+ frozen_param_fragments = zero_model_states[0].frozen_param_fragments
221
+
222
+ if debug:
223
+ num_elem = sum(s.numel() for s in frozen_param_shapes.values())
224
+ print(f'rank 0: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
225
+
226
+ wanted_params = len(frozen_param_shapes)
227
+ wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
228
+ avail_numel = sum([p.numel() for p in frozen_param_fragments.values()])
229
+ print(f'Frozen params: Have {avail_numel} numels to process.')
230
+ print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
231
+
232
+ total_params = 0
233
+ total_numel = 0
234
+ for name, shape in frozen_param_shapes.items():
235
+ total_params += 1
236
+ unpartitioned_numel = shape.numel()
237
+ total_numel += unpartitioned_numel
238
+
239
+ state_dict[name] = frozen_param_fragments[name]
240
+
241
+ if debug:
242
+ print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
243
+
244
+ print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
245
+
246
+
247
+ def _has_callable(obj, fn):
248
+ attr = getattr(obj, fn, None)
249
+ return callable(attr)
250
+
251
+
252
+ def _zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
253
+ param_shapes = zero_model_states[0].param_shapes
254
+
255
+ # Reconstruction protocol:
256
+ #
257
+ # XXX: document this
258
+
259
+ if debug:
260
+ for i in range(world_size):
261
+ for j in range(len(fp32_flat_groups[0])):
262
+ print(f"{FP32_FLAT_GROUPS}[{i}][{j}].shape={fp32_flat_groups[i][j].shape}")
263
+
264
+ # XXX: memory usage doubles here (zero2)
265
+ num_param_groups = len(fp32_flat_groups[0])
266
+ merged_single_partition_of_fp32_groups = []
267
+ for i in range(num_param_groups):
268
+ merged_partitions = [sd[i] for sd in fp32_flat_groups]
269
+ full_single_fp32_vector = torch.cat(merged_partitions, 0)
270
+ merged_single_partition_of_fp32_groups.append(full_single_fp32_vector)
271
+ avail_numel = sum(
272
+ [full_single_fp32_vector.numel() for full_single_fp32_vector in merged_single_partition_of_fp32_groups])
273
+
274
+ if debug:
275
+ wanted_params = sum([len(shapes) for shapes in param_shapes])
276
+ wanted_numel = sum([sum(shape.numel() for shape in shapes.values()) for shapes in param_shapes])
277
+ # not asserting if there is a mismatch due to possible padding
278
+ print(f"Have {avail_numel} numels to process.")
279
+ print(f"Need {wanted_numel} numels in {wanted_params} params.")
280
+
281
+ # params
282
+ # XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
283
+ # out-of-core computing solution
284
+ total_numel = 0
285
+ total_params = 0
286
+ for shapes, full_single_fp32_vector in zip(param_shapes, merged_single_partition_of_fp32_groups):
287
+ offset = 0
288
+ avail_numel = full_single_fp32_vector.numel()
289
+ for name, shape in shapes.items():
290
+
291
+ unpartitioned_numel = shape.numel() if _has_callable(shape, 'numel') else math.prod(shape)
292
+ total_numel += unpartitioned_numel
293
+ total_params += 1
294
+
295
+ if debug:
296
+ print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
297
+ state_dict[name] = full_single_fp32_vector.narrow(0, offset, unpartitioned_numel).view(shape)
298
+ offset += unpartitioned_numel
299
+
300
+ # Z2 started to align to 2*world_size to improve nccl performance. Therefore both offset and
301
+ # avail_numel can differ by anywhere between 0..2*world_size. Due to two unrelated complex
302
+ # paddings performed in the code it's almost impossible to predict the exact numbers w/o the
303
+ # live optimizer object, so we are checking that the numbers are within the right range
304
+ align_to = 2 * world_size
305
+
306
+ def zero2_align(x):
307
+ return align_to * math.ceil(x / align_to)
308
+
309
+ if debug:
310
+ print(f"original offset={offset}, avail_numel={avail_numel}")
311
+
312
+ offset = zero2_align(offset)
313
+ avail_numel = zero2_align(avail_numel)
314
+
315
+ if debug:
316
+ print(f"aligned offset={offset}, avail_numel={avail_numel}")
317
+
318
+ # Sanity check
319
+ if offset != avail_numel:
320
+ raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
321
+
322
+ print(f"Reconstructed fp32 state dict with {total_params} params {total_numel} elements")
323
+
324
+
325
+ def _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
326
+ exclude_frozen_parameters):
327
+ state_dict = OrderedDict()
328
+
329
+ # buffers
330
+ buffers = zero_model_states[0].buffers
331
+ state_dict.update(buffers)
332
+ if debug:
333
+ print(f"added {len(buffers)} buffers")
334
+
335
+ if not exclude_frozen_parameters:
336
+ _zero2_merge_frozen_params(state_dict, zero_model_states)
337
+
338
+ _zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
339
+
340
+ # recover shared parameters
341
+ for pair in zero_model_states[0].shared_params:
342
+ if pair[1] in state_dict:
343
+ state_dict[pair[0]] = state_dict[pair[1]]
344
+
345
+ return state_dict
346
+
347
+
348
+ def zero3_partitioned_param_info(unpartitioned_numel, world_size):
349
+ remainder = unpartitioned_numel % world_size
350
+ padding_numel = (world_size - remainder) if remainder else 0
351
+ partitioned_numel = math.ceil(unpartitioned_numel / world_size)
352
+ return partitioned_numel, padding_numel
353
+
354
+
355
+ def _zero3_merge_frozen_params(state_dict, world_size, zero_model_states):
356
+ if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
357
+ return
358
+
359
+ if debug:
360
+ for i in range(world_size):
361
+ num_elem = sum(s.numel() for s in zero_model_states[i].frozen_param_fragments.values())
362
+ print(f'rank {i}: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
363
+
364
+ frozen_param_shapes = zero_model_states[0].frozen_param_shapes
365
+ wanted_params = len(frozen_param_shapes)
366
+ wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
367
+ avail_numel = sum([p.numel() for p in zero_model_states[0].frozen_param_fragments.values()]) * world_size
368
+ print(f'Frozen params: Have {avail_numel} numels to process.')
369
+ print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
370
+
371
+ total_params = 0
372
+ total_numel = 0
373
+ for name, shape in zero_model_states[0].frozen_param_shapes.items():
374
+ total_params += 1
375
+ unpartitioned_numel = shape.numel()
376
+ total_numel += unpartitioned_numel
377
+
378
+ param_frags = tuple(model_state.frozen_param_fragments[name] for model_state in zero_model_states)
379
+ state_dict[name] = torch.cat(param_frags, 0).narrow(0, 0, unpartitioned_numel).view(shape)
380
+
381
+ partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
382
+
383
+ if debug:
384
+ print(
385
+ f"Frozen params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
386
+ )
387
+
388
+ print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
389
+
390
+
391
+ class GatheredTensor:
392
+ """
393
+ A pseudo tensor that collects partitioned weights.
394
+ It is more memory efficient when there are multiple groups.
395
+ """
396
+
397
+ def __init__(self, flat_groups, flat_groups_offset, offset, partitioned_numel, shape):
398
+ self.flat_groups = flat_groups
399
+ self.flat_groups_offset = flat_groups_offset
400
+ self.offset = offset
401
+ self.partitioned_numel = partitioned_numel
402
+ self.shape = shape
403
+ self.dtype = self.flat_groups[0][0].dtype
404
+
405
+ def contiguous(self):
406
+ """
407
+ Merge partitioned weights from flat_groups into a single tensor.
408
+ """
409
+ end_idx = self.offset + self.partitioned_numel
410
+ world_size = len(self.flat_groups)
411
+ pad_flat_param_chunks = []
412
+
413
+ for rank_i in range(world_size):
414
+ # for each rank, we need to collect weights from related group/groups
415
+ flat_groups_at_rank_i = self.flat_groups[rank_i]
416
+ start_group_id = None
417
+ end_group_id = None
418
+ for group_id in range(len(self.flat_groups_offset)):
419
+ if self.flat_groups_offset[group_id] <= self.offset < self.flat_groups_offset[group_id + 1]:
420
+ start_group_id = group_id
421
+ if self.flat_groups_offset[group_id] < end_idx <= self.flat_groups_offset[group_id + 1]:
422
+ end_group_id = group_id
423
+ break
424
+ # collect weights from related group/groups
425
+ for group_id in range(start_group_id, end_group_id + 1):
426
+ flat_tensor = flat_groups_at_rank_i[group_id]
427
+ start_offset = self.offset - self.flat_groups_offset[group_id]
428
+ end_offset = min(end_idx, self.flat_groups_offset[group_id + 1]) - self.flat_groups_offset[group_id]
429
+ pad_flat_param_chunks.append(flat_tensor[start_offset:end_offset])
430
+
431
+ # collect weights from all ranks
432
+ pad_flat_param = torch.cat(pad_flat_param_chunks, dim=0)
433
+ param = pad_flat_param[:self.shape.numel()].view(self.shape).contiguous()
434
+ return param
435
+
436
+
437
+ def _zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
438
+ param_shapes = zero_model_states[0].param_shapes
439
+ avail_numel = sum([flat_group.numel() for flat_group in fp32_flat_groups[0]]) * world_size
440
+
441
+ # Reconstruction protocol: For zero3 we need to zip the partitions together at boundary of each
442
+ # param, re-consolidating each param, while dealing with padding if any
443
+
444
+ # merge list of dicts, preserving order
445
+ param_shapes = {k: v for d in param_shapes for k, v in d.items()}
446
+
447
+ if debug:
448
+ for i in range(world_size):
449
+ print(f"{FP32_FLAT_GROUPS}[{i}].shape={fp32_flat_groups[i].shape}")
450
+
451
+ wanted_params = len(param_shapes)
452
+ wanted_numel = sum(shape.numel() for shape in param_shapes.values())
453
+ # not asserting if there is a mismatch due to possible padding
454
+ avail_numel = fp32_flat_groups[0].numel() * world_size
455
+ print(f"Trainable params: Have {avail_numel} numels to process.")
456
+ print(f"Trainable params: Need {wanted_numel} numels in {wanted_params} params.")
457
+
458
+ # params
459
+ # XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
460
+ # out-of-core computing solution
461
+ offset = 0
462
+ total_numel = 0
463
+ total_params = 0
464
+ flat_groups_offset = [0] + list(np.cumsum([flat_tensor.numel() for flat_tensor in fp32_flat_groups[0]]))
465
+ for name, shape in tqdm(param_shapes.items(), desc='Gathering sharded weights'):
466
+ unpartitioned_numel = shape.numel()
467
+ total_numel += unpartitioned_numel
468
+ total_params += 1
469
+ partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
470
+
471
+ if debug:
472
+ print(
473
+ f"Trainable params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
474
+ )
475
+
476
+ # memory efficient tensor
477
+ tensor = GatheredTensor(fp32_flat_groups, flat_groups_offset, offset, partitioned_numel, shape)
478
+ state_dict[name] = tensor
479
+ offset += partitioned_numel
480
+
481
+ offset *= world_size
482
+
483
+ # Sanity check
484
+ if offset != avail_numel:
485
+ raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
486
+
487
+ print(f"Reconstructed Trainable fp32 state dict with {total_params} params {total_numel} elements")
488
+
489
+
490
+ def _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
491
+ exclude_frozen_parameters):
492
+ state_dict = OrderedDict()
493
+
494
+ # buffers
495
+ buffers = zero_model_states[0].buffers
496
+ state_dict.update(buffers)
497
+ if debug:
498
+ print(f"added {len(buffers)} buffers")
499
+
500
+ if not exclude_frozen_parameters:
501
+ _zero3_merge_frozen_params(state_dict, world_size, zero_model_states)
502
+
503
+ _zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
504
+
505
+ # recover shared parameters
506
+ for pair in zero_model_states[0].shared_params:
507
+ if pair[1] in state_dict:
508
+ state_dict[pair[0]] = state_dict[pair[1]]
509
+
510
+ return state_dict
511
+
512
+
513
+ def to_torch_tensor(state_dict, return_empty_tensor=False):
514
+ """
515
+ Convert state_dict of GatheredTensor to torch tensor
516
+ """
517
+ torch_state_dict = {}
518
+ converted_tensors = {}
519
+ for name, tensor in state_dict.items():
520
+ tensor_id = id(tensor)
521
+ if tensor_id in converted_tensors: # shared tensors
522
+ shared_tensor = torch_state_dict[converted_tensors[tensor_id]]
523
+ torch_state_dict[name] = shared_tensor
524
+ else:
525
+ converted_tensors[tensor_id] = name
526
+ if return_empty_tensor:
527
+ torch_state_dict[name] = torch.empty(tensor.shape, dtype=tensor.dtype)
528
+ else:
529
+ torch_state_dict[name] = tensor.contiguous()
530
+ return torch_state_dict
531
+
532
+
533
+ def get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir,
534
+ tag=None,
535
+ exclude_frozen_parameters=False,
536
+ lazy_mode=False):
537
+ """
538
+ Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated state_dict that can be loaded with
539
+ ``load_state_dict()`` and used for training without DeepSpeed or shared with others, for example
540
+ via a model hub.
541
+
542
+ Args:
543
+ - ``checkpoint_dir``: path to the desired checkpoint folder
544
+ - ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in 'latest' file. e.g., ``global_step14``
545
+ - ``exclude_frozen_parameters``: exclude frozen parameters
546
+ - ``lazy_mode``: get state_dict in lazy mode. It returns a dict of pesduo tensor instead of torch tensor, which is more memory efficient.
547
+ Convert the pesduo tensor to torch tensor by ``.contiguous()``
548
+
549
+ Returns:
550
+ - pytorch ``state_dict``
551
+
552
+ A typical usage might be ::
553
+
554
+ from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
555
+ # do the training and checkpoint saving
556
+ state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir) # already on cpu
557
+ model = model.cpu() # move to cpu
558
+ model.load_state_dict(state_dict)
559
+ # submit to model hub or save the model to share with others
560
+
561
+ In this example the ``model`` will no longer be usable in the deepspeed context of the same
562
+ application. i.e. you will need to re-initialize the deepspeed engine, since
563
+ ``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
564
+
565
+ If you want it all done for you, use ``load_state_dict_from_zero_checkpoint`` instead.
566
+
567
+ Note: the above usage may not work if your application doesn't have sufficient free CPU memory.
568
+ You may need to use the offline approach using the ``zero_to_fp32.py`` script that is saved with
569
+ the checkpoint. Or you can load state_dict in lazy mode ::
570
+
571
+ from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
572
+ state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, lazy_mode=True) # not on cpu
573
+ for name, lazy_tensor in state_dict.item():
574
+ tensor = lazy_tensor.contiguous() # to cpu
575
+ print(name, tensor)
576
+ # del tensor to release memory if it no longer in use
577
+ """
578
+ if tag is None:
579
+ latest_path = os.path.join(checkpoint_dir, 'latest')
580
+ if os.path.isfile(latest_path):
581
+ with open(latest_path, 'r') as fd:
582
+ tag = fd.read().strip()
583
+ else:
584
+ raise ValueError(f"Unable to find 'latest' file at {latest_path}")
585
+
586
+ ds_checkpoint_dir = os.path.join(checkpoint_dir, tag)
587
+
588
+ if not os.path.isdir(ds_checkpoint_dir):
589
+ raise FileNotFoundError(f"Directory '{ds_checkpoint_dir}' doesn't exist")
590
+
591
+ state_dict = _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters)
592
+ if lazy_mode:
593
+ return state_dict
594
+ else:
595
+ return to_torch_tensor(state_dict)
596
+
597
+
598
+ def convert_zero_checkpoint_to_fp32_state_dict(checkpoint_dir,
599
+ output_dir,
600
+ max_shard_size="5GB",
601
+ safe_serialization=False,
602
+ tag=None,
603
+ exclude_frozen_parameters=False):
604
+ """
605
+ Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict`` file that can be
606
+ loaded with ``torch.load(file)`` + ``load_state_dict()`` and used for training without DeepSpeed.
607
+
608
+ Args:
609
+ - ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
610
+ - ``output_dir``: directory to the pytorch fp32 state_dict output files
611
+ - ``max_shard_size``: the maximum size for a checkpoint before being sharded, default value is 5GB
612
+ - ``safe_serialization``: whether to save the model using `safetensors` or the traditional PyTorch way (that uses `pickle`).
613
+ - ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
614
+ - ``exclude_frozen_parameters``: exclude frozen parameters
615
+ """
616
+
617
+ # Dependency pre-check
618
+ if safe_serialization:
619
+ try:
620
+ from safetensors.torch import save_file
621
+ except ImportError:
622
+ print('If you want to use `safe_serialization`, please `pip install safetensors`')
623
+ raise
624
+ if max_shard_size is not None:
625
+ try:
626
+ from huggingface_hub import split_torch_state_dict_into_shards
627
+ except ImportError:
628
+ print('If you want to use `max_shard_size`, please `pip install huggingface_hub`')
629
+ raise
630
+
631
+ # Convert zero checkpoint to state_dict
632
+ state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir,
633
+ tag,
634
+ exclude_frozen_parameters,
635
+ lazy_mode=True)
636
+
637
+ # Shard the model if it is too big.
638
+ weights_name = "model.safetensors" if safe_serialization else "pytorch_model.bin"
639
+ if max_shard_size is not None:
640
+ filename_pattern = weights_name.replace(".bin", "{suffix}.bin").replace(".safetensors", "{suffix}.safetensors")
641
+ # an memory-efficient approach for sharding
642
+ empty_state_dict = to_torch_tensor(state_dict, return_empty_tensor=True)
643
+ state_dict_split = split_torch_state_dict_into_shards(empty_state_dict,
644
+ filename_pattern=filename_pattern,
645
+ max_shard_size=max_shard_size)
646
+ else:
647
+ from collections import namedtuple
648
+ StateDictSplit = namedtuple("StateDictSplit", ["is_sharded", "filename_to_tensors"])
649
+ state_dict_split = StateDictSplit(is_sharded=False,
650
+ filename_to_tensors={weights_name: list(state_dict.keys())})
651
+
652
+ # Save the model by shard
653
+ os.makedirs(output_dir, exist_ok=True)
654
+ filename_to_tensors = state_dict_split.filename_to_tensors.items()
655
+ for shard_file, tensors in tqdm(filename_to_tensors, desc="Saving checkpoint shards"):
656
+ shard_state_dict = {tensor_name: state_dict[tensor_name] for tensor_name in tensors}
657
+ shard_state_dict = to_torch_tensor(shard_state_dict)
658
+ output_path = os.path.join(output_dir, shard_file)
659
+ if safe_serialization:
660
+ save_file(shard_state_dict, output_path, metadata={"format": "pt"})
661
+ else:
662
+ torch.save(shard_state_dict, output_path)
663
+ # release the memory of current shard
664
+ for tensor_name in list(shard_state_dict.keys()):
665
+ del state_dict[tensor_name]
666
+ del shard_state_dict[tensor_name]
667
+ del shard_state_dict
668
+ gc.collect()
669
+
670
+ # Save index if sharded
671
+ if state_dict_split.is_sharded:
672
+ index = {
673
+ "metadata": state_dict_split.metadata,
674
+ "weight_map": state_dict_split.tensor_to_filename,
675
+ }
676
+ save_index_file = "model.safetensors.index.json" if safe_serialization else "pytorch_model.bin.index.json"
677
+ save_index_file = os.path.join(output_dir, save_index_file)
678
+ with open(save_index_file, "w", encoding="utf-8") as f:
679
+ content = json.dumps(index, indent=2, sort_keys=True) + "\n"
680
+ f.write(content)
681
+
682
+
683
+ def load_state_dict_from_zero_checkpoint(model, checkpoint_dir, tag=None):
684
+ """
685
+ 1. Put the provided model to cpu
686
+ 2. Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict``
687
+ 3. Load it into the provided model
688
+
689
+ Args:
690
+ - ``model``: the model object to update
691
+ - ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
692
+ - ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
693
+
694
+ Returns:
695
+ - ``model`: modified model
696
+
697
+ Make sure you have plenty of CPU memory available before you call this function. If you don't
698
+ have enough use the ``zero_to_fp32.py`` utility to do the conversion. You will find it
699
+ conveniently placed for you in the checkpoint folder.
700
+
701
+ A typical usage might be ::
702
+
703
+ from deepspeed.utils.zero_to_fp32 import load_state_dict_from_zero_checkpoint
704
+ model = load_state_dict_from_zero_checkpoint(trainer.model, checkpoint_dir)
705
+ # submit to model hub or save the model to share with others
706
+
707
+ Note, that once this was run, the ``model`` will no longer be usable in the deepspeed context
708
+ of the same application. i.e. you will need to re-initialize the deepspeed engine, since
709
+ ``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
710
+
711
+ """
712
+ logger.info("Extracting fp32 weights")
713
+ state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)
714
+
715
+ logger.info("Overwriting model with fp32 weights")
716
+ model = model.cpu()
717
+ model.load_state_dict(state_dict, strict=False)
718
+
719
+ return model
720
+
721
+
722
+ if __name__ == "__main__":
723
+ parser = argparse.ArgumentParser()
724
+ parser.add_argument("checkpoint_dir",
725
+ type=str,
726
+ help="path to the desired checkpoint folder, e.g., path/checkpoint-12")
727
+ parser.add_argument("output_dir",
728
+ type=str,
729
+ help="directory to the pytorch fp32 state_dict output files"
730
+ "(e.g. path/checkpoint-12-output/)")
731
+ parser.add_argument(
732
+ "--max_shard_size",
733
+ type=str,
734
+ default="5GB",
735
+ help="The maximum size for a checkpoint before being sharded. Checkpoints shard will then be each of size"
736
+ "lower than this size. If expressed as a string, needs to be digits followed by a unit (like `5MB`"
737
+ "We default it to 5GB in order for models to be able to run easily on free-tier google colab instances"
738
+ "without CPU OOM issues.")
739
+ parser.add_argument(
740
+ "--safe_serialization",
741
+ default=False,
742
+ action='store_true',
743
+ help="Whether to save the model using `safetensors` or the traditional PyTorch way (that uses `pickle`).")
744
+ parser.add_argument("-t",
745
+ "--tag",
746
+ type=str,
747
+ default=None,
748
+ help="checkpoint tag used as a unique identifier for checkpoint. e.g., global_step1")
749
+ parser.add_argument("--exclude_frozen_parameters", action='store_true', help="exclude frozen parameters")
750
+ parser.add_argument("-d", "--debug", action='store_true', help="enable debug")
751
+ args = parser.parse_args()
752
+
753
+ debug = args.debug
754
+
755
+ convert_zero_checkpoint_to_fp32_state_dict(args.checkpoint_dir,
756
+ args.output_dir,
757
+ max_shard_size=args.max_shard_size,
758
+ safe_serialization=args.safe_serialization,
759
+ tag=args.tag,
760
+ exclude_frozen_parameters=args.exclude_frozen_parameters)