File size: 2,872 Bytes
21bb2e8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "architectures": [
    "MiniMaxM2ForCausalLM"
  ],
  "attn_type_list": [
    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,
    1,
    1,
    1,
    1,
    1
  ],
  "auto_map": {
    "AutoConfig": "configuration_minimax_m2.MiniMaxM2Config",
    "AutoModelForCausalLM": "modeling_minimax_m2.MiniMaxM2ForCausalLM"
  },
  "dtype": "bfloat16",
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 3072,
  "intermediate_size": 1536,
  "max_position_embeddings": 204800,
  "model_type": "minimax_m2",
  "mtp_transformer_layers": 1,
  "num_attention_heads": 48,
  "num_experts_per_tok": 8,
  "num_hidden_layers": 62,
  "num_key_value_heads": 8,
  "num_local_experts": 256,
  "num_mtp_modules": 3,
  "qk_norm_type": "per_layer",
  "quantization_config": {
    "group_size": 64,
    "bits": 6,
    "mode": "affine",
    "model.embed_tokens": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.k_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.o_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.q_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.v_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "lm_head": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    }
  },
  "rms_norm_eps": 1e-06,
  "rope_theta": 5000000,
  "rotary_dim": 64,
  "scoring_func": "sigmoid",
  "shared_intermediate_size": 0,
  "tie_word_embeddings": false,
  "transformers_version": "4.46.1",
  "use_cache": true,
  "use_mtp": true,
  "use_qk_norm": true,
  "use_routing_bias": true,
  "vocab_size": 200064,
  "eos_token_id": 200020,
  "quantization": {
    "group_size": 64,
    "bits": 6,
    "mode": "affine",
    "model.embed_tokens": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.k_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.o_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.q_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "model.layers.61.self_attn.v_proj": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    },
    "lm_head": {
      "bits": 8,
      "group_size": 64,
      "mode": "affine"
    }
  }
}