Hugging Face's logo

Intel
/
Qwen3.5-2B-int4-AutoRound

Safetensors
qwen3_5
4-bit precision
auto-round
Model card Files
xet
Community
Qwen3.5-2B-int4-AutoRound
File size: 4,245 Bytes
4d0880d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "bits": 4,
  "data_type": "int",
  "group_size": 128,
  "sym": true,
  "autoround_version": "0.12.0",
  "block_name_to_quantize": "model.language_model.layers",
  "quant_method": "auto-round",
  "packing_format": "auto_round:auto_gptq",
  "extra_config": {
    "model.language_model.layers.0.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.0.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.1.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.1.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.2.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.2.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.4.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.4.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.5.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.5.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.6.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.6.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.8.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.8.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.9.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.9.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.10.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.10.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.12.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.12.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.13.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.13.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.14.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.14.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.16.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.16.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.17.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.17.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.18.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.18.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.20.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.20.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.21.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.21.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.22.linear_attn.in_proj_b": {
      "bits": 16,
      "data_type": "fp"
    },
    "model.language_model.layers.22.linear_attn.in_proj_a": {
      "bits": 16,
      "data_type": "fp"
    }
  }
}