Wwayu commited on
Commit
2a780b5
·
verified ·
1 Parent(s): fcc9a4f

Upload config.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. config.json +433 -0
config.json ADDED
@@ -0,0 +1,433 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3MoeForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "decoder_sparse_step": 1,
9
+ "eos_token_id": 151645,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 2048,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 6144,
15
+ "max_position_embeddings": 262144,
16
+ "max_window_layers": 48,
17
+ "mlp_only_layers": [],
18
+ "model_type": "qwen3_moe",
19
+ "moe_intermediate_size": 768,
20
+ "norm_topk_prob": true,
21
+ "num_attention_heads": 32,
22
+ "num_experts": 128,
23
+ "num_experts_per_tok": 8,
24
+ "num_hidden_layers": 48,
25
+ "num_key_value_heads": 4,
26
+ "output_router_logits": false,
27
+ "pad_token_id": 151643,
28
+ "quantization": {
29
+ "group_size": 64,
30
+ "bits": 6,
31
+ "mode": "affine",
32
+ "model.layers.0.mlp.gate": {
33
+ "group_size": 64,
34
+ "bits": 8
35
+ },
36
+ "model.layers.1.mlp.gate": {
37
+ "group_size": 64,
38
+ "bits": 8
39
+ },
40
+ "model.layers.2.mlp.gate": {
41
+ "group_size": 64,
42
+ "bits": 8
43
+ },
44
+ "model.layers.3.mlp.gate": {
45
+ "group_size": 64,
46
+ "bits": 8
47
+ },
48
+ "model.layers.4.mlp.gate": {
49
+ "group_size": 64,
50
+ "bits": 8
51
+ },
52
+ "model.layers.5.mlp.gate": {
53
+ "group_size": 64,
54
+ "bits": 8
55
+ },
56
+ "model.layers.6.mlp.gate": {
57
+ "group_size": 64,
58
+ "bits": 8
59
+ },
60
+ "model.layers.7.mlp.gate": {
61
+ "group_size": 64,
62
+ "bits": 8
63
+ },
64
+ "model.layers.8.mlp.gate": {
65
+ "group_size": 64,
66
+ "bits": 8
67
+ },
68
+ "model.layers.9.mlp.gate": {
69
+ "group_size": 64,
70
+ "bits": 8
71
+ },
72
+ "model.layers.10.mlp.gate": {
73
+ "group_size": 64,
74
+ "bits": 8
75
+ },
76
+ "model.layers.11.mlp.gate": {
77
+ "group_size": 64,
78
+ "bits": 8
79
+ },
80
+ "model.layers.12.mlp.gate": {
81
+ "group_size": 64,
82
+ "bits": 8
83
+ },
84
+ "model.layers.13.mlp.gate": {
85
+ "group_size": 64,
86
+ "bits": 8
87
+ },
88
+ "model.layers.14.mlp.gate": {
89
+ "group_size": 64,
90
+ "bits": 8
91
+ },
92
+ "model.layers.15.mlp.gate": {
93
+ "group_size": 64,
94
+ "bits": 8
95
+ },
96
+ "model.layers.16.mlp.gate": {
97
+ "group_size": 64,
98
+ "bits": 8
99
+ },
100
+ "model.layers.17.mlp.gate": {
101
+ "group_size": 64,
102
+ "bits": 8
103
+ },
104
+ "model.layers.18.mlp.gate": {
105
+ "group_size": 64,
106
+ "bits": 8
107
+ },
108
+ "model.layers.19.mlp.gate": {
109
+ "group_size": 64,
110
+ "bits": 8
111
+ },
112
+ "model.layers.20.mlp.gate": {
113
+ "group_size": 64,
114
+ "bits": 8
115
+ },
116
+ "model.layers.21.mlp.gate": {
117
+ "group_size": 64,
118
+ "bits": 8
119
+ },
120
+ "model.layers.22.mlp.gate": {
121
+ "group_size": 64,
122
+ "bits": 8
123
+ },
124
+ "model.layers.23.mlp.gate": {
125
+ "group_size": 64,
126
+ "bits": 8
127
+ },
128
+ "model.layers.24.mlp.gate": {
129
+ "group_size": 64,
130
+ "bits": 8
131
+ },
132
+ "model.layers.25.mlp.gate": {
133
+ "group_size": 64,
134
+ "bits": 8
135
+ },
136
+ "model.layers.26.mlp.gate": {
137
+ "group_size": 64,
138
+ "bits": 8
139
+ },
140
+ "model.layers.27.mlp.gate": {
141
+ "group_size": 64,
142
+ "bits": 8
143
+ },
144
+ "model.layers.28.mlp.gate": {
145
+ "group_size": 64,
146
+ "bits": 8
147
+ },
148
+ "model.layers.29.mlp.gate": {
149
+ "group_size": 64,
150
+ "bits": 8
151
+ },
152
+ "model.layers.30.mlp.gate": {
153
+ "group_size": 64,
154
+ "bits": 8
155
+ },
156
+ "model.layers.31.mlp.gate": {
157
+ "group_size": 64,
158
+ "bits": 8
159
+ },
160
+ "model.layers.32.mlp.gate": {
161
+ "group_size": 64,
162
+ "bits": 8
163
+ },
164
+ "model.layers.33.mlp.gate": {
165
+ "group_size": 64,
166
+ "bits": 8
167
+ },
168
+ "model.layers.34.mlp.gate": {
169
+ "group_size": 64,
170
+ "bits": 8
171
+ },
172
+ "model.layers.35.mlp.gate": {
173
+ "group_size": 64,
174
+ "bits": 8
175
+ },
176
+ "model.layers.36.mlp.gate": {
177
+ "group_size": 64,
178
+ "bits": 8
179
+ },
180
+ "model.layers.37.mlp.gate": {
181
+ "group_size": 64,
182
+ "bits": 8
183
+ },
184
+ "model.layers.38.mlp.gate": {
185
+ "group_size": 64,
186
+ "bits": 8
187
+ },
188
+ "model.layers.39.mlp.gate": {
189
+ "group_size": 64,
190
+ "bits": 8
191
+ },
192
+ "model.layers.40.mlp.gate": {
193
+ "group_size": 64,
194
+ "bits": 8
195
+ },
196
+ "model.layers.41.mlp.gate": {
197
+ "group_size": 64,
198
+ "bits": 8
199
+ },
200
+ "model.layers.42.mlp.gate": {
201
+ "group_size": 64,
202
+ "bits": 8
203
+ },
204
+ "model.layers.43.mlp.gate": {
205
+ "group_size": 64,
206
+ "bits": 8
207
+ },
208
+ "model.layers.44.mlp.gate": {
209
+ "group_size": 64,
210
+ "bits": 8
211
+ },
212
+ "model.layers.45.mlp.gate": {
213
+ "group_size": 64,
214
+ "bits": 8
215
+ },
216
+ "model.layers.46.mlp.gate": {
217
+ "group_size": 64,
218
+ "bits": 8
219
+ },
220
+ "model.layers.47.mlp.gate": {
221
+ "group_size": 64,
222
+ "bits": 8
223
+ }
224
+ },
225
+ "quantization_config": {
226
+ "group_size": 64,
227
+ "bits": 6,
228
+ "mode": "affine",
229
+ "model.layers.0.mlp.gate": {
230
+ "group_size": 64,
231
+ "bits": 8
232
+ },
233
+ "model.layers.1.mlp.gate": {
234
+ "group_size": 64,
235
+ "bits": 8
236
+ },
237
+ "model.layers.2.mlp.gate": {
238
+ "group_size": 64,
239
+ "bits": 8
240
+ },
241
+ "model.layers.3.mlp.gate": {
242
+ "group_size": 64,
243
+ "bits": 8
244
+ },
245
+ "model.layers.4.mlp.gate": {
246
+ "group_size": 64,
247
+ "bits": 8
248
+ },
249
+ "model.layers.5.mlp.gate": {
250
+ "group_size": 64,
251
+ "bits": 8
252
+ },
253
+ "model.layers.6.mlp.gate": {
254
+ "group_size": 64,
255
+ "bits": 8
256
+ },
257
+ "model.layers.7.mlp.gate": {
258
+ "group_size": 64,
259
+ "bits": 8
260
+ },
261
+ "model.layers.8.mlp.gate": {
262
+ "group_size": 64,
263
+ "bits": 8
264
+ },
265
+ "model.layers.9.mlp.gate": {
266
+ "group_size": 64,
267
+ "bits": 8
268
+ },
269
+ "model.layers.10.mlp.gate": {
270
+ "group_size": 64,
271
+ "bits": 8
272
+ },
273
+ "model.layers.11.mlp.gate": {
274
+ "group_size": 64,
275
+ "bits": 8
276
+ },
277
+ "model.layers.12.mlp.gate": {
278
+ "group_size": 64,
279
+ "bits": 8
280
+ },
281
+ "model.layers.13.mlp.gate": {
282
+ "group_size": 64,
283
+ "bits": 8
284
+ },
285
+ "model.layers.14.mlp.gate": {
286
+ "group_size": 64,
287
+ "bits": 8
288
+ },
289
+ "model.layers.15.mlp.gate": {
290
+ "group_size": 64,
291
+ "bits": 8
292
+ },
293
+ "model.layers.16.mlp.gate": {
294
+ "group_size": 64,
295
+ "bits": 8
296
+ },
297
+ "model.layers.17.mlp.gate": {
298
+ "group_size": 64,
299
+ "bits": 8
300
+ },
301
+ "model.layers.18.mlp.gate": {
302
+ "group_size": 64,
303
+ "bits": 8
304
+ },
305
+ "model.layers.19.mlp.gate": {
306
+ "group_size": 64,
307
+ "bits": 8
308
+ },
309
+ "model.layers.20.mlp.gate": {
310
+ "group_size": 64,
311
+ "bits": 8
312
+ },
313
+ "model.layers.21.mlp.gate": {
314
+ "group_size": 64,
315
+ "bits": 8
316
+ },
317
+ "model.layers.22.mlp.gate": {
318
+ "group_size": 64,
319
+ "bits": 8
320
+ },
321
+ "model.layers.23.mlp.gate": {
322
+ "group_size": 64,
323
+ "bits": 8
324
+ },
325
+ "model.layers.24.mlp.gate": {
326
+ "group_size": 64,
327
+ "bits": 8
328
+ },
329
+ "model.layers.25.mlp.gate": {
330
+ "group_size": 64,
331
+ "bits": 8
332
+ },
333
+ "model.layers.26.mlp.gate": {
334
+ "group_size": 64,
335
+ "bits": 8
336
+ },
337
+ "model.layers.27.mlp.gate": {
338
+ "group_size": 64,
339
+ "bits": 8
340
+ },
341
+ "model.layers.28.mlp.gate": {
342
+ "group_size": 64,
343
+ "bits": 8
344
+ },
345
+ "model.layers.29.mlp.gate": {
346
+ "group_size": 64,
347
+ "bits": 8
348
+ },
349
+ "model.layers.30.mlp.gate": {
350
+ "group_size": 64,
351
+ "bits": 8
352
+ },
353
+ "model.layers.31.mlp.gate": {
354
+ "group_size": 64,
355
+ "bits": 8
356
+ },
357
+ "model.layers.32.mlp.gate": {
358
+ "group_size": 64,
359
+ "bits": 8
360
+ },
361
+ "model.layers.33.mlp.gate": {
362
+ "group_size": 64,
363
+ "bits": 8
364
+ },
365
+ "model.layers.34.mlp.gate": {
366
+ "group_size": 64,
367
+ "bits": 8
368
+ },
369
+ "model.layers.35.mlp.gate": {
370
+ "group_size": 64,
371
+ "bits": 8
372
+ },
373
+ "model.layers.36.mlp.gate": {
374
+ "group_size": 64,
375
+ "bits": 8
376
+ },
377
+ "model.layers.37.mlp.gate": {
378
+ "group_size": 64,
379
+ "bits": 8
380
+ },
381
+ "model.layers.38.mlp.gate": {
382
+ "group_size": 64,
383
+ "bits": 8
384
+ },
385
+ "model.layers.39.mlp.gate": {
386
+ "group_size": 64,
387
+ "bits": 8
388
+ },
389
+ "model.layers.40.mlp.gate": {
390
+ "group_size": 64,
391
+ "bits": 8
392
+ },
393
+ "model.layers.41.mlp.gate": {
394
+ "group_size": 64,
395
+ "bits": 8
396
+ },
397
+ "model.layers.42.mlp.gate": {
398
+ "group_size": 64,
399
+ "bits": 8
400
+ },
401
+ "model.layers.43.mlp.gate": {
402
+ "group_size": 64,
403
+ "bits": 8
404
+ },
405
+ "model.layers.44.mlp.gate": {
406
+ "group_size": 64,
407
+ "bits": 8
408
+ },
409
+ "model.layers.45.mlp.gate": {
410
+ "group_size": 64,
411
+ "bits": 8
412
+ },
413
+ "model.layers.46.mlp.gate": {
414
+ "group_size": 64,
415
+ "bits": 8
416
+ },
417
+ "model.layers.47.mlp.gate": {
418
+ "group_size": 64,
419
+ "bits": 8
420
+ }
421
+ },
422
+ "rms_norm_eps": 1e-06,
423
+ "rope_scaling": null,
424
+ "rope_theta": 10000000,
425
+ "router_aux_loss_coef": 0.001,
426
+ "sliding_window": null,
427
+ "tie_word_embeddings": false,
428
+ "torch_dtype": "bfloat16",
429
+ "transformers_version": "4.51.3",
430
+ "use_cache": false,
431
+ "use_sliding_window": false,
432
+ "vocab_size": 151936
433
+ }