File size: 11,122 Bytes
6684358
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
 "architectures": [
  "MiniMaxM3SparseForConditionalGeneration"
 ],
 "auto_map": {
  "AutoConfig": "configuration_minimax_m3_vl.MiniMaxM3VLConfig"
 },
 "model_type": "minimax_m3_vl",
 "text_config": {
  "hidden_size": 6144,
  "intermediate_size": 3072,
  "num_hidden_layers": 60,
  "num_attention_heads": 64,
  "num_key_value_heads": 4,
  "head_dim": 128,
  "vocab_size": 200064,
  "max_position_embeddings": 1048576,
  "rms_norm_eps": 1e-06,
  "use_gemma_norm": true,
  "attention_output_gate": false,
  "rope_theta": 5000000,
  "rotary_dim": 64,
  "partial_rotary_factor": 0.5,
  "hidden_act": "swigluoai",
  "use_qk_norm": true,
  "tie_word_embeddings": false,
  "dense_intermediate_size": 12288,
  "shared_intermediate_size": 3072,
  "num_local_experts": 128,
  "num_experts_per_tok": 4,
  "n_shared_experts": 1,
  "scoring_func": "sigmoid",
  "use_routing_bias": true,
  "moe_layer_freq": [
   0,
   0,
   0,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1,
   1
  ],
  "qk_norm_type": "per_head",
  "num_mtp_modules": 7,
  "num_nextn_predict_layers": 1,
  "swiglu_alpha": 1.702,
  "swiglu_limit": 7.0,
  "routed_scaling_factor": 2.0,
  "sparse_attention_config": {
   "use_sparse_attention": true,
   "sparse_index_dim": 128,
   "sparse_num_index_heads": 4,
   "sparse_topk_blocks": 16,
   "sparse_block_size": 128,
   "sparse_disable_index_value": [
    0,
    0,
    0,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1
   ],
   "sparse_score_type": "max",
   "sparse_init_block": 0,
   "sparse_local_block": 1,
   "sparse_attention_freq": [
    0,
    0,
    0,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1,
    1
   ]
  },
  "architectures": [
   "MiniMaxM3SparseForCausalLM"
  ]
 },
 "vision_config": {
  "hidden_size": 1280,
  "num_attention_heads": 16,
  "num_hidden_layers": 32,
  "intermediate_size": 5120,
  "patch_size": 14,
  "image_size": 2016,
  "projection_dim": 6144,
  "position_embedding_type": "rope",
  "rope_mode": "3d",
  "rope_theta": 10000.0,
  "attention_dropout": 0.0,
  "hidden_act": "gelu",
  "initializer_factor": 1.0,
  "initializer_range": 0.02,
  "layer_norm_eps": 1e-05,
  "model_type": "clip_vision_model",
  "num_channels": 3,
  "vocab_size": 32000,
  "img_token_compression_config": {
   "image_token_compression_method": "patch_merge",
   "spatial_merge_size": 2,
   "temporal_patch_size": 2
  },
  "vision_segment_max_frames": 4
 },
 "img_token_compression_config": {
  "image_token_compression_method": "patch_merge",
  "spatial_merge_size": 2,
  "temporal_patch_size": 2
 },
 "image_grid_pinpoints": "[(336, 336), (336, 672), (336, 1008), (336, 1344), (336, 1680), (336, 2016), (672, 336), (672, 672), (672, 1008), (672, 1344), (672, 1680), (672, 2016), (1008, 336), (1008, 672), (1008, 1008), (1008, 1344), (1008, 1680), (1008, 2016), (1344, 336), (1344, 672), (1344, 1008), (1344, 1344), (1344, 1680), (1344, 2016), (1680, 336), (1680, 672), (1680, 1008), (1680, 1344), (1680, 1680), (1680, 2016), (2016, 336), (2016, 672), (2016, 1008), (2016, 1344), (2016, 1680), (2016, 2016)]",
 "image_seq_length": 576,
 "image_token_index": 200025,
 "video_token_index": 200026,
 "multimodal_projector_bias": true,
 "num_reward_heads": 0,
 "process_image_mode": "dynamic_res",
 "projector_hidden_act": "gelu",
 "vision_feature_layer": -1,
 "vision_feature_select_strategy": "full",
 "torch_dtype": "bfloat16",
 "transformers_version": "4.52.4",
 "projector_hidden_size": 6144,
 "quantization_config": {
  "config_groups": {
   "group_0": {
    "input_activations": {
     "dynamic": false,
     "num_bits": 4,
     "type": "float",
     "group_size": 16
    },
    "weights": {
     "dynamic": false,
     "num_bits": 4,
     "type": "float",
     "group_size": 16
    },
    "targets": [
     "Linear"
    ]
   }
  },
  "ignore": [
   "lm_head",
   "model.embed_tokens",
   "vision_tower",
   "multi_modal_projector",
   "patch_merge_mlp",
   "language_model.model.layers.3.block_sparse_moe.gate",
   "language_model.model.layers.3.self_attn*",
   "language_model.model.layers.4.block_sparse_moe.gate",
   "language_model.model.layers.4.self_attn*",
   "language_model.model.layers.5.block_sparse_moe.gate",
   "language_model.model.layers.5.self_attn*",
   "language_model.model.layers.6.block_sparse_moe.gate",
   "language_model.model.layers.6.self_attn*",
   "language_model.model.layers.7.block_sparse_moe.gate",
   "language_model.model.layers.7.self_attn*",
   "language_model.model.layers.8.block_sparse_moe.gate",
   "language_model.model.layers.8.self_attn*",
   "language_model.model.layers.9.block_sparse_moe.gate",
   "language_model.model.layers.9.self_attn*",
   "language_model.model.layers.10.block_sparse_moe.gate",
   "language_model.model.layers.10.self_attn*",
   "language_model.model.layers.11.block_sparse_moe.gate",
   "language_model.model.layers.11.self_attn*",
   "language_model.model.layers.12.block_sparse_moe.gate",
   "language_model.model.layers.12.self_attn*",
   "language_model.model.layers.13.block_sparse_moe.gate",
   "language_model.model.layers.13.self_attn*",
   "language_model.model.layers.14.block_sparse_moe.gate",
   "language_model.model.layers.14.self_attn*",
   "language_model.model.layers.15.block_sparse_moe.gate",
   "language_model.model.layers.15.self_attn*",
   "language_model.model.layers.16.block_sparse_moe.gate",
   "language_model.model.layers.16.self_attn*",
   "language_model.model.layers.17.block_sparse_moe.gate",
   "language_model.model.layers.17.self_attn*",
   "language_model.model.layers.18.block_sparse_moe.gate",
   "language_model.model.layers.18.self_attn*",
   "language_model.model.layers.19.block_sparse_moe.gate",
   "language_model.model.layers.19.self_attn*",
   "language_model.model.layers.20.block_sparse_moe.gate",
   "language_model.model.layers.20.self_attn*",
   "language_model.model.layers.21.block_sparse_moe.gate",
   "language_model.model.layers.21.self_attn*",
   "language_model.model.layers.22.block_sparse_moe.gate",
   "language_model.model.layers.22.self_attn*",
   "language_model.model.layers.23.block_sparse_moe.gate",
   "language_model.model.layers.23.self_attn*",
   "language_model.model.layers.24.block_sparse_moe.gate",
   "language_model.model.layers.24.self_attn*",
   "language_model.model.layers.25.block_sparse_moe.gate",
   "language_model.model.layers.25.self_attn*",
   "language_model.model.layers.26.block_sparse_moe.gate",
   "language_model.model.layers.26.self_attn*",
   "language_model.model.layers.27.block_sparse_moe.gate",
   "language_model.model.layers.27.self_attn*",
   "language_model.model.layers.28.block_sparse_moe.gate",
   "language_model.model.layers.28.self_attn*",
   "language_model.model.layers.29.block_sparse_moe.gate",
   "language_model.model.layers.29.self_attn*",
   "language_model.model.layers.30.block_sparse_moe.gate",
   "language_model.model.layers.30.self_attn*",
   "language_model.model.layers.31.block_sparse_moe.gate",
   "language_model.model.layers.31.self_attn*",
   "language_model.model.layers.32.block_sparse_moe.gate",
   "language_model.model.layers.32.self_attn*",
   "language_model.model.layers.33.block_sparse_moe.gate",
   "language_model.model.layers.33.self_attn*",
   "language_model.model.layers.34.block_sparse_moe.gate",
   "language_model.model.layers.34.self_attn*",
   "language_model.model.layers.35.block_sparse_moe.gate",
   "language_model.model.layers.35.self_attn*",
   "language_model.model.layers.36.block_sparse_moe.gate",
   "language_model.model.layers.36.self_attn*",
   "language_model.model.layers.37.block_sparse_moe.gate",
   "language_model.model.layers.37.self_attn*",
   "language_model.model.layers.38.block_sparse_moe.gate",
   "language_model.model.layers.38.self_attn*",
   "language_model.model.layers.39.block_sparse_moe.gate",
   "language_model.model.layers.39.self_attn*",
   "language_model.model.layers.40.block_sparse_moe.gate",
   "language_model.model.layers.40.self_attn*",
   "language_model.model.layers.41.block_sparse_moe.gate",
   "language_model.model.layers.41.self_attn*",
   "language_model.model.layers.42.block_sparse_moe.gate",
   "language_model.model.layers.42.self_attn*",
   "language_model.model.layers.43.block_sparse_moe.gate",
   "language_model.model.layers.43.self_attn*",
   "language_model.model.layers.44.block_sparse_moe.gate",
   "language_model.model.layers.44.self_attn*",
   "language_model.model.layers.45.block_sparse_moe.gate",
   "language_model.model.layers.45.self_attn*",
   "language_model.model.layers.46.block_sparse_moe.gate",
   "language_model.model.layers.46.self_attn*",
   "language_model.model.layers.47.block_sparse_moe.gate",
   "language_model.model.layers.47.self_attn*",
   "language_model.model.layers.48.block_sparse_moe.gate",
   "language_model.model.layers.48.self_attn*",
   "language_model.model.layers.49.block_sparse_moe.gate",
   "language_model.model.layers.49.self_attn*",
   "language_model.model.layers.50.block_sparse_moe.gate",
   "language_model.model.layers.50.self_attn*",
   "language_model.model.layers.51.block_sparse_moe.gate",
   "language_model.model.layers.51.self_attn*",
   "language_model.model.layers.52.block_sparse_moe.gate",
   "language_model.model.layers.52.self_attn*",
   "language_model.model.layers.53.block_sparse_moe.gate",
   "language_model.model.layers.53.self_attn*",
   "language_model.model.layers.54.block_sparse_moe.gate",
   "language_model.model.layers.54.self_attn*",
   "language_model.model.layers.55.block_sparse_moe.gate",
   "language_model.model.layers.55.self_attn*",
   "language_model.model.layers.56.block_sparse_moe.gate",
   "language_model.model.layers.56.self_attn*",
   "language_model.model.layers.57.block_sparse_moe.gate",
   "language_model.model.layers.57.self_attn*",
   "language_model.model.layers.58.block_sparse_moe.gate",
   "language_model.model.layers.58.self_attn*",
   "language_model.model.layers.59.block_sparse_moe.gate",
   "language_model.model.layers.59.self_attn*",
   "language_model.model.layers.0.*",
   "language_model.model.layers.1.*",
   "language_model.model.layers.2.*"
  ],
  "quant_algo": "NVFP4",
  "quant_method": "modelopt"
 }
}