File size: 9,961 Bytes
412850a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "architectures": [
    "LongcatFlashNgramForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_longcat_ngram.LongcatFlashNgramConfig",
    "AutoModel": "modeling_longcat_ngram.LongcatFlashNgramModel",
    "AutoModelForCausalLM": "modeling_longcat_ngram.LongcatFlashNgramForCausalLM"
  },
  "bos_token_id": 1,
  "disable_quant_module": [],
  "emb_neighbor_num": 4,
  "emb_split_num": 4,
  "eos_token_id": 2,
  "expert_ffn_hidden_size": 1024,
  "ffn_hidden_size": 6144,
  "hidden_size": 3072,
  "kv_lora_rank": 512,
  "max_position_embeddings": 327680,
  "mla_scale_kv_lora": true,
  "mla_scale_q_lora": true,
  "moe_topk": 12,
  "n_routed_experts": 256,
  "ngram_vocab_size_ratio": 78,
  "num_attention_heads": 32,
  "num_layers": 14,
  "q_lora_rank": 1536,
  "qk_nope_head_dim": 128,
  "qk_rope_head_dim": 64,
  "quantization_config": {
    "activation_scheme": "dynamic",
    "fmt": "e4m3",
    "ignored_layers": [
      "lm_head",
      "model.embed_tokens",
      "model.layers.0.input_layernorm.0",
      "model.layers.0.input_layernorm.1",
      "model.layers.0.mlp.router.classifier",
      "model.layers.0.mlp.router.e_score_correction_bias",
      "model.layers.0.post_attention_layernorm.0",
      "model.layers.0.post_attention_layernorm.1",
      "model.layers.0.self_attn.0.kv_a_layernorm",
      "model.layers.0.self_attn.0.q_a_layernorm",
      "model.layers.0.self_attn.1.kv_a_layernorm",
      "model.layers.0.self_attn.1.q_a_layernorm",
      "model.layers.1.input_layernorm.0",
      "model.layers.1.input_layernorm.1",
      "model.layers.1.mlp.router.classifier",
      "model.layers.1.mlp.router.e_score_correction_bias",
      "model.layers.1.post_attention_layernorm.0",
      "model.layers.1.post_attention_layernorm.1",
      "model.layers.1.self_attn.0.kv_a_layernorm",
      "model.layers.1.self_attn.0.q_a_layernorm",
      "model.layers.1.self_attn.1.kv_a_layernorm",
      "model.layers.1.self_attn.1.q_a_layernorm",
      "model.layers.10.input_layernorm.0",
      "model.layers.10.input_layernorm.1",
      "model.layers.10.mlp.router.classifier",
      "model.layers.10.mlp.router.e_score_correction_bias",
      "model.layers.10.post_attention_layernorm.0",
      "model.layers.10.post_attention_layernorm.1",
      "model.layers.10.self_attn.0.kv_a_layernorm",
      "model.layers.10.self_attn.0.q_a_layernorm",
      "model.layers.10.self_attn.1.kv_a_layernorm",
      "model.layers.10.self_attn.1.q_a_layernorm",
      "model.layers.11.input_layernorm.0",
      "model.layers.11.input_layernorm.1",
      "model.layers.11.mlp.router.classifier",
      "model.layers.11.mlp.router.e_score_correction_bias",
      "model.layers.11.post_attention_layernorm.0",
      "model.layers.11.post_attention_layernorm.1",
      "model.layers.11.self_attn.0.kv_a_layernorm",
      "model.layers.11.self_attn.0.q_a_layernorm",
      "model.layers.11.self_attn.1.kv_a_layernorm",
      "model.layers.11.self_attn.1.q_a_layernorm",
      "model.layers.12.input_layernorm.0",
      "model.layers.12.input_layernorm.1",
      "model.layers.12.mlp.router.classifier",
      "model.layers.12.mlp.router.e_score_correction_bias",
      "model.layers.12.post_attention_layernorm.0",
      "model.layers.12.post_attention_layernorm.1",
      "model.layers.12.self_attn.0.kv_a_layernorm",
      "model.layers.12.self_attn.0.q_a_layernorm",
      "model.layers.12.self_attn.1.kv_a_layernorm",
      "model.layers.12.self_attn.1.q_a_layernorm",
      "model.layers.13.input_layernorm.0",
      "model.layers.13.input_layernorm.1",
      "model.layers.13.mlp.router.classifier",
      "model.layers.13.mlp.router.e_score_correction_bias",
      "model.layers.13.post_attention_layernorm.0",
      "model.layers.13.post_attention_layernorm.1",
      "model.layers.13.self_attn.0.kv_a_layernorm",
      "model.layers.13.self_attn.0.q_a_layernorm",
      "model.layers.13.self_attn.1.kv_a_layernorm",
      "model.layers.13.self_attn.1.q_a_layernorm",
      "model.layers.2.input_layernorm.0",
      "model.layers.2.input_layernorm.1",
      "model.layers.2.mlp.router.classifier",
      "model.layers.2.mlp.router.e_score_correction_bias",
      "model.layers.2.post_attention_layernorm.0",
      "model.layers.2.post_attention_layernorm.1",
      "model.layers.2.self_attn.0.kv_a_layernorm",
      "model.layers.2.self_attn.0.q_a_layernorm",
      "model.layers.2.self_attn.1.kv_a_layernorm",
      "model.layers.2.self_attn.1.q_a_layernorm",
      "model.layers.3.input_layernorm.0",
      "model.layers.3.input_layernorm.1",
      "model.layers.3.mlp.router.classifier",
      "model.layers.3.mlp.router.e_score_correction_bias",
      "model.layers.3.post_attention_layernorm.0",
      "model.layers.3.post_attention_layernorm.1",
      "model.layers.3.self_attn.0.kv_a_layernorm",
      "model.layers.3.self_attn.0.q_a_layernorm",
      "model.layers.3.self_attn.1.kv_a_layernorm",
      "model.layers.3.self_attn.1.q_a_layernorm",
      "model.layers.4.input_layernorm.0",
      "model.layers.4.input_layernorm.1",
      "model.layers.4.mlp.router.classifier",
      "model.layers.4.mlp.router.e_score_correction_bias",
      "model.layers.4.post_attention_layernorm.0",
      "model.layers.4.post_attention_layernorm.1",
      "model.layers.4.self_attn.0.kv_a_layernorm",
      "model.layers.4.self_attn.0.q_a_layernorm",
      "model.layers.4.self_attn.1.kv_a_layernorm",
      "model.layers.4.self_attn.1.q_a_layernorm",
      "model.layers.5.input_layernorm.0",
      "model.layers.5.input_layernorm.1",
      "model.layers.5.mlp.router.classifier",
      "model.layers.5.mlp.router.e_score_correction_bias",
      "model.layers.5.post_attention_layernorm.0",
      "model.layers.5.post_attention_layernorm.1",
      "model.layers.5.self_attn.0.kv_a_layernorm",
      "model.layers.5.self_attn.0.q_a_layernorm",
      "model.layers.5.self_attn.1.kv_a_layernorm",
      "model.layers.5.self_attn.1.q_a_layernorm",
      "model.layers.6.input_layernorm.0",
      "model.layers.6.input_layernorm.1",
      "model.layers.6.mlp.router.classifier",
      "model.layers.6.mlp.router.e_score_correction_bias",
      "model.layers.6.post_attention_layernorm.0",
      "model.layers.6.post_attention_layernorm.1",
      "model.layers.6.self_attn.0.kv_a_layernorm",
      "model.layers.6.self_attn.0.q_a_layernorm",
      "model.layers.6.self_attn.1.kv_a_layernorm",
      "model.layers.6.self_attn.1.q_a_layernorm",
      "model.layers.7.input_layernorm.0",
      "model.layers.7.input_layernorm.1",
      "model.layers.7.mlp.router.classifier",
      "model.layers.7.mlp.router.e_score_correction_bias",
      "model.layers.7.post_attention_layernorm.0",
      "model.layers.7.post_attention_layernorm.1",
      "model.layers.7.self_attn.0.kv_a_layernorm",
      "model.layers.7.self_attn.0.q_a_layernorm",
      "model.layers.7.self_attn.1.kv_a_layernorm",
      "model.layers.7.self_attn.1.q_a_layernorm",
      "model.layers.8.input_layernorm.0",
      "model.layers.8.input_layernorm.1",
      "model.layers.8.mlp.router.classifier",
      "model.layers.8.mlp.router.e_score_correction_bias",
      "model.layers.8.post_attention_layernorm.0",
      "model.layers.8.post_attention_layernorm.1",
      "model.layers.8.self_attn.0.kv_a_layernorm",
      "model.layers.8.self_attn.0.q_a_layernorm",
      "model.layers.8.self_attn.1.kv_a_layernorm",
      "model.layers.8.self_attn.1.q_a_layernorm",
      "model.layers.9.input_layernorm.0",
      "model.layers.9.input_layernorm.1",
      "model.layers.9.mlp.router.classifier",
      "model.layers.9.mlp.router.e_score_correction_bias",
      "model.layers.9.post_attention_layernorm.0",
      "model.layers.9.post_attention_layernorm.1",
      "model.layers.9.self_attn.0.kv_a_layernorm",
      "model.layers.9.self_attn.0.q_a_layernorm",
      "model.layers.9.self_attn.1.kv_a_layernorm",
      "model.layers.9.self_attn.1.q_a_layernorm",
      "model.mtp.embed_tokens",
      "model.mtp.layers.0.enorm.m",
      "model.mtp.layers.0.hnorm.m",
      "model.mtp.layers.0.input_layernorm",
      "model.mtp.layers.0.post_attention_layernorm",
      "model.mtp.layers.0.self_attn.kv_a_layernorm",
      "model.mtp.layers.0.self_attn.q_a_layernorm",
      "model.mtp.norm",
      "model.ngram_embeddings.embedders.0",
      "model.ngram_embeddings.embedders.1",
      "model.ngram_embeddings.embedders.10",
      "model.ngram_embeddings.embedders.11",
      "model.ngram_embeddings.embedders.2",
      "model.ngram_embeddings.embedders.3",
      "model.ngram_embeddings.embedders.4",
      "model.ngram_embeddings.embedders.5",
      "model.ngram_embeddings.embedders.6",
      "model.ngram_embeddings.embedders.7",
      "model.ngram_embeddings.embedders.8",
      "model.ngram_embeddings.embedders.9",
      "model.ngram_embeddings.post_projs.0",
      "model.ngram_embeddings.post_projs.1",
      "model.ngram_embeddings.post_projs.10",
      "model.ngram_embeddings.post_projs.11",
      "model.ngram_embeddings.post_projs.2",
      "model.ngram_embeddings.post_projs.3",
      "model.ngram_embeddings.post_projs.4",
      "model.ngram_embeddings.post_projs.5",
      "model.ngram_embeddings.post_projs.6",
      "model.ngram_embeddings.post_projs.7",
      "model.ngram_embeddings.post_projs.8",
      "model.ngram_embeddings.post_projs.9",
      "model.norm"
    ],
    "quant_method": "fp8",
    "weight_block_size": [
      128,
      128
    ]
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "beta_fast": 32,
    "beta_slow": 1,
    "factor": 10,
    "mscale": 1,
    "mscale_all_dim": 1,
    "original_max_position_embeddings": 32768,
    "rope_type": "yarn"
  },
  "rope_theta": 5000000.0,
  "routed_scaling_factor": 6.0,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.57.6",
  "use_cache": true,
  "v_head_dim": 128,
  "vocab_size": 131072,
  "zero_expert_num": 128,
  "zero_expert_type": "identity"
}