File size: 13,241 Bytes
a05ea78
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
{
  "architectures": [
    "Qwen3_5MoeForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "image_token_id": 248056,
  "model_type": "qwen3_5_moe",
  "quantization_config": {
    "autoround_version": "0.14.2",
    "bits": 4,
    "block_name_to_quantize": "model.language_model.layers",
    "data_type": "int",
    "extra_config": {
      ".*model\\.language_model\\.layers\\.0\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.10\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.11\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.12\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.13\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.14\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.15\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.16\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.17\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.18\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.19\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.1\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.20\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.21\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.22\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.23\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.24\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.25\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.26\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.27\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.28\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.29\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.2\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.30\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.31\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.32\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.33\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.34\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.35\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.36\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.37\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.38\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.39\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.3\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.4\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.5\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.6\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.7\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.8\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      ".*model\\.language_model\\.layers\\.9\\.mlp\\.gate.*": {
        "bits": 16,
        "data_type": "float"
      },
      "model.language_model.layers.0.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.1.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.10.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.11.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.12.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.13.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.14.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.15.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.16.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.17.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.18.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.19.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.2.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.20.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.21.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.22.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.23.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.24.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.25.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.26.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.27.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.28.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.29.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.3.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.30.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.31.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.32.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.33.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.34.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.35.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.36.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.37.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.38.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.39.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.4.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.5.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.6.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.7.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.8.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      },
      "model.language_model.layers.9.mlp.shared_expert_gate": {
        "bits": 16,
        "data_type": "fp"
      }
    },
    "group_size": 128,
    "low_gpu_mem_usage": true,
    "packing_format": "auto_round:auto_gptq",
    "quant_method": "auto-round",
    "sym": true
  },
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": 248044,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2048,
    "initializer_range": 0.02,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "model_type": "qwen3_5_moe_text",
    "moe_intermediate_size": 512,
    "mtp_num_hidden_layers": 0,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 16,
    "num_experts": 256,
    "num_experts_per_tok": 8,
    "num_hidden_layers": 40,
    "num_key_value_heads": 2,
    "output_router_logits": false,
    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
      "mrope_interleaved": true,
      "mrope_section": [
        11,
        11,
        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "router_aux_loss_coef": 0.001,
    "shared_expert_intermediate_size": 512,
    "tie_word_embeddings": false,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": false,
  "transformers_version": "5.14.1",
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 27,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1152,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4304,
    "model_type": "qwen3_5_moe_vision",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2048,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_start_token_id": 248053
}