Hugging Face's logo

Intel
/
Qwen2-57B-A14B-Instruct-int4-inc

Safetensors
qwen2_moe
4-bit precision
intel/auto-round
Model card Files Community
Qwen2-57B-A14B-Instruct-int4-inc
File size: 4,647 Bytes 
f9ab186
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "bits": 4,
  "group_size": 128,
  "sym": true,
  "data_type": "int",
  "enable_quanted_input": true,
  "enable_minmax_tuning": true,
  "seqlen": 2048,
  "train_bs": 8,
  "scale_dtype": "torch.float16",
  "lr": 0.001,
  "minmax_lr": 0.001,
  "gradient_accumulate_steps": 1,
  "iters": 1000,
  "amp": true,
  "nsamples": 512,
  "low_gpu_mem_usage": false,
  "quant_block_list": null,
  "enable_norm_bias_tuning": false,
  "dataset": "NeelNanda/pile-10k",
  "autoround_version": "0.3.1.dev",
  "quant_method": "intel/auto-round",
  "backend": "auto_round:gptq:exllamav2",
  "extra_config": {
    "model.layers.0.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.1.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.2.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.3.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.4.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.5.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.6.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.7.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.8.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.9.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.10.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.11.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.12.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.13.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.14.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.15.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.16.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.17.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.18.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.19.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.20.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.21.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.22.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.23.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.24.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.25.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.26.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    },
    "model.layers.27.mlp.shared_expert_gate": {
      "data_type": "float",
      "bits": 32,
      "group_size": null,
      "sym": null
    }
  }
}