File size: 8,872 Bytes
f6468d2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
    "architectures": [
        "AfmoeForCausalLM"
    ],
    "attention_dropout": 0.0,
    "auto_map": {
        "AutoConfig": "configuration_afmoe.AfmoeConfig",
        "AutoModel": "modeling_afmoe.AfmoeModel",
        "AutoModelForCausalLM": "modeling_afmoe.AfmoeForCausalLM"
    },
    "dtype": "bfloat16",
    "global_attn_every_n_layers": 4,
    "head_dim": 128,
    "hidden_act": "silu",
    "hidden_size": 2048,
    "initializer_range": 0.02,
    "intermediate_size": 6144,
    "layer_types": [
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention",
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention",
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention",
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention",
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention",
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention",
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention",
        "sliding_attention",
        "sliding_attention",
        "sliding_attention",
        "full_attention"
    ],
    "load_balance_coeff": 0.001,
    "max_position_embeddings": 131072,
    "model_type": "afmoe",
    "moe_intermediate_size": 1024,
    "mup_enabled": true,
    "n_group": 1,
    "num_attention_heads": 32,
    "num_dense_layers": 2,
    "num_expert_groups": 1,
    "num_experts": 128,
    "num_experts_per_tok": 8,
    "num_hidden_layers": 32,
    "num_key_value_heads": 4,
    "num_limited_groups": 1,
    "num_shared_experts": 1,
    "quantization": {
        "group_size": 64,
        "bits": 3,
        "mode": "affine",
        "model.layers.2.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.3.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.4.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.5.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.6.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.7.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.8.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.9.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.10.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.11.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.12.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.13.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.14.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.15.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.16.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.17.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.18.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.19.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.20.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.21.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.22.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.23.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.24.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.25.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.26.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.27.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.28.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.29.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.30.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.31.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        }
    },
    "quantization_config": {
        "group_size": 64,
        "bits": 3,
        "mode": "affine",
        "model.layers.2.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.3.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.4.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.5.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.6.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.7.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.8.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.9.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.10.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.11.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.12.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.13.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.14.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.15.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.16.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.17.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.18.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.19.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.20.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.21.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.22.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.23.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.24.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.25.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.26.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.27.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.28.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.29.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.30.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        },
        "model.layers.31.mlp.router.gate": {
            "group_size": 64,
            "bits": 8
        }
    },
    "rms_norm_eps": 1e-05,
    "rope_scaling": null,
    "rope_theta": 10000,
    "route_norm": true,
    "route_scale": 2.826,
    "score_func": "sigmoid",
    "sliding_window": 2048,
    "tie_word_embeddings": false,
    "topk_group": 1,
    "transformers_version": "4.57.3",
    "use_cache": true,
    "use_grouped_mm": true,
    "vocab_size": 200192
}