Hugging Face's logo

tiiuae
/
falcon-7b-instruct

Text Generation
Transformers
PyTorch
Core ML
Safetensors
English
falcon
conversational
custom_code
text-generation-inference
Inference Endpoints
Model card Files Community
125

Adding `safetensors` variant of this model

#50
by CalebAtkins - opened
base: refs/heads/main
←
from: refs/pr/50
Discussion Files changed
+206
-0
Files changed (2) hide show
  1. model-00002-of-00002.safetensors +3 -0
  2. model.safetensors.index.json +203 -0
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d68a175bf005c2dd7fdd9956227b5691802c8d5a5b03897ed107e591017b33ea
3
+ size 4483408144
model.safetensors.index.json ADDED
@@ -0,0 +1,203 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14434379520
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00002-of-00002.safetensors",
7
+ "transformer.h.0.input_layernorm.bias": "model-00001-of-00002.safetensors",
8
+ "transformer.h.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
9
+ "transformer.h.0.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
10
+ "transformer.h.0.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
11
+ "transformer.h.0.self_attention.dense.weight": "model-00001-of-00002.safetensors",
12
+ "transformer.h.0.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
13
+ "transformer.h.1.input_layernorm.bias": "model-00001-of-00002.safetensors",
14
+ "transformer.h.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
15
+ "transformer.h.1.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
16
+ "transformer.h.1.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
17
+ "transformer.h.1.self_attention.dense.weight": "model-00001-of-00002.safetensors",
18
+ "transformer.h.1.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
19
+ "transformer.h.10.input_layernorm.bias": "model-00001-of-00002.safetensors",
20
+ "transformer.h.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
21
+ "transformer.h.10.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
22
+ "transformer.h.10.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
23
+ "transformer.h.10.self_attention.dense.weight": "model-00001-of-00002.safetensors",
24
+ "transformer.h.10.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
25
+ "transformer.h.11.input_layernorm.bias": "model-00001-of-00002.safetensors",
26
+ "transformer.h.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
27
+ "transformer.h.11.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
28
+ "transformer.h.11.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
29
+ "transformer.h.11.self_attention.dense.weight": "model-00001-of-00002.safetensors",
30
+ "transformer.h.11.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
31
+ "transformer.h.12.input_layernorm.bias": "model-00001-of-00002.safetensors",
32
+ "transformer.h.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
33
+ "transformer.h.12.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
34
+ "transformer.h.12.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
35
+ "transformer.h.12.self_attention.dense.weight": "model-00001-of-00002.safetensors",
36
+ "transformer.h.12.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
37
+ "transformer.h.13.input_layernorm.bias": "model-00001-of-00002.safetensors",
38
+ "transformer.h.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
39
+ "transformer.h.13.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
40
+ "transformer.h.13.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
41
+ "transformer.h.13.self_attention.dense.weight": "model-00001-of-00002.safetensors",
42
+ "transformer.h.13.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
43
+ "transformer.h.14.input_layernorm.bias": "model-00001-of-00002.safetensors",
44
+ "transformer.h.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
45
+ "transformer.h.14.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
46
+ "transformer.h.14.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
47
+ "transformer.h.14.self_attention.dense.weight": "model-00001-of-00002.safetensors",
48
+ "transformer.h.14.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
49
+ "transformer.h.15.input_layernorm.bias": "model-00001-of-00002.safetensors",
50
+ "transformer.h.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
51
+ "transformer.h.15.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
52
+ "transformer.h.15.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
53
+ "transformer.h.15.self_attention.dense.weight": "model-00001-of-00002.safetensors",
54
+ "transformer.h.15.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
55
+ "transformer.h.16.input_layernorm.bias": "model-00001-of-00002.safetensors",
56
+ "transformer.h.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
57
+ "transformer.h.16.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
58
+ "transformer.h.16.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
59
+ "transformer.h.16.self_attention.dense.weight": "model-00001-of-00002.safetensors",
60
+ "transformer.h.16.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
61
+ "transformer.h.17.input_layernorm.bias": "model-00001-of-00002.safetensors",
62
+ "transformer.h.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
63
+ "transformer.h.17.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
64
+ "transformer.h.17.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
65
+ "transformer.h.17.self_attention.dense.weight": "model-00001-of-00002.safetensors",
66
+ "transformer.h.17.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
67
+ "transformer.h.18.input_layernorm.bias": "model-00001-of-00002.safetensors",
68
+ "transformer.h.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
69
+ "transformer.h.18.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
70
+ "transformer.h.18.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
71
+ "transformer.h.18.self_attention.dense.weight": "model-00001-of-00002.safetensors",
72
+ "transformer.h.18.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
73
+ "transformer.h.19.input_layernorm.bias": "model-00001-of-00002.safetensors",
74
+ "transformer.h.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
75
+ "transformer.h.19.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
76
+ "transformer.h.19.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
77
+ "transformer.h.19.self_attention.dense.weight": "model-00001-of-00002.safetensors",
78
+ "transformer.h.19.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
79
+ "transformer.h.2.input_layernorm.bias": "model-00001-of-00002.safetensors",
80
+ "transformer.h.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
81
+ "transformer.h.2.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
82
+ "transformer.h.2.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
83
+ "transformer.h.2.self_attention.dense.weight": "model-00001-of-00002.safetensors",
84
+ "transformer.h.2.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
85
+ "transformer.h.20.input_layernorm.bias": "model-00001-of-00002.safetensors",
86
+ "transformer.h.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
87
+ "transformer.h.20.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
88
+ "transformer.h.20.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
89
+ "transformer.h.20.self_attention.dense.weight": "model-00001-of-00002.safetensors",
90
+ "transformer.h.20.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
91
+ "transformer.h.21.input_layernorm.bias": "model-00001-of-00002.safetensors",
92
+ "transformer.h.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
93
+ "transformer.h.21.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
94
+ "transformer.h.21.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
95
+ "transformer.h.21.self_attention.dense.weight": "model-00001-of-00002.safetensors",
96
+ "transformer.h.21.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
97
+ "transformer.h.22.input_layernorm.bias": "model-00001-of-00002.safetensors",
98
+ "transformer.h.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
99
+ "transformer.h.22.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
100
+ "transformer.h.22.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
101
+ "transformer.h.22.self_attention.dense.weight": "model-00001-of-00002.safetensors",
102
+ "transformer.h.22.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
103
+ "transformer.h.23.input_layernorm.bias": "model-00002-of-00002.safetensors",
104
+ "transformer.h.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
105
+ "transformer.h.23.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
106
+ "transformer.h.23.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
107
+ "transformer.h.23.self_attention.dense.weight": "model-00002-of-00002.safetensors",
108
+ "transformer.h.23.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
109
+ "transformer.h.24.input_layernorm.bias": "model-00002-of-00002.safetensors",
110
+ "transformer.h.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
111
+ "transformer.h.24.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
112
+ "transformer.h.24.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
113
+ "transformer.h.24.self_attention.dense.weight": "model-00002-of-00002.safetensors",
114
+ "transformer.h.24.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
115
+ "transformer.h.25.input_layernorm.bias": "model-00002-of-00002.safetensors",
116
+ "transformer.h.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
117
+ "transformer.h.25.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
118
+ "transformer.h.25.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
119
+ "transformer.h.25.self_attention.dense.weight": "model-00002-of-00002.safetensors",
120
+ "transformer.h.25.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
121
+ "transformer.h.26.input_layernorm.bias": "model-00002-of-00002.safetensors",
122
+ "transformer.h.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
123
+ "transformer.h.26.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
124
+ "transformer.h.26.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
125
+ "transformer.h.26.self_attention.dense.weight": "model-00002-of-00002.safetensors",
126
+ "transformer.h.26.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
127
+ "transformer.h.27.input_layernorm.bias": "model-00002-of-00002.safetensors",
128
+ "transformer.h.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
129
+ "transformer.h.27.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
130
+ "transformer.h.27.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
131
+ "transformer.h.27.self_attention.dense.weight": "model-00002-of-00002.safetensors",
132
+ "transformer.h.27.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
133
+ "transformer.h.28.input_layernorm.bias": "model-00002-of-00002.safetensors",
134
+ "transformer.h.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
135
+ "transformer.h.28.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
136
+ "transformer.h.28.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
137
+ "transformer.h.28.self_attention.dense.weight": "model-00002-of-00002.safetensors",
138
+ "transformer.h.28.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
139
+ "transformer.h.29.input_layernorm.bias": "model-00002-of-00002.safetensors",
140
+ "transformer.h.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
141
+ "transformer.h.29.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
142
+ "transformer.h.29.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
143
+ "transformer.h.29.self_attention.dense.weight": "model-00002-of-00002.safetensors",
144
+ "transformer.h.29.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
145
+ "transformer.h.3.input_layernorm.bias": "model-00001-of-00002.safetensors",
146
+ "transformer.h.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
147
+ "transformer.h.3.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
148
+ "transformer.h.3.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
149
+ "transformer.h.3.self_attention.dense.weight": "model-00001-of-00002.safetensors",
150
+ "transformer.h.3.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
151
+ "transformer.h.30.input_layernorm.bias": "model-00002-of-00002.safetensors",
152
+ "transformer.h.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
153
+ "transformer.h.30.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
154
+ "transformer.h.30.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
155
+ "transformer.h.30.self_attention.dense.weight": "model-00002-of-00002.safetensors",
156
+ "transformer.h.30.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
157
+ "transformer.h.31.input_layernorm.bias": "model-00002-of-00002.safetensors",
158
+ "transformer.h.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
159
+ "transformer.h.31.mlp.dense_4h_to_h.weight": "model-00002-of-00002.safetensors",
160
+ "transformer.h.31.mlp.dense_h_to_4h.weight": "model-00002-of-00002.safetensors",
161
+ "transformer.h.31.self_attention.dense.weight": "model-00002-of-00002.safetensors",
162
+ "transformer.h.31.self_attention.query_key_value.weight": "model-00002-of-00002.safetensors",
163
+ "transformer.h.4.input_layernorm.bias": "model-00001-of-00002.safetensors",
164
+ "transformer.h.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
165
+ "transformer.h.4.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
166
+ "transformer.h.4.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
167
+ "transformer.h.4.self_attention.dense.weight": "model-00001-of-00002.safetensors",
168
+ "transformer.h.4.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
169
+ "transformer.h.5.input_layernorm.bias": "model-00001-of-00002.safetensors",
170
+ "transformer.h.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
171
+ "transformer.h.5.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
172
+ "transformer.h.5.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
173
+ "transformer.h.5.self_attention.dense.weight": "model-00001-of-00002.safetensors",
174
+ "transformer.h.5.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
175
+ "transformer.h.6.input_layernorm.bias": "model-00001-of-00002.safetensors",
176
+ "transformer.h.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
177
+ "transformer.h.6.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
178
+ "transformer.h.6.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
179
+ "transformer.h.6.self_attention.dense.weight": "model-00001-of-00002.safetensors",
180
+ "transformer.h.6.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
181
+ "transformer.h.7.input_layernorm.bias": "model-00001-of-00002.safetensors",
182
+ "transformer.h.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
183
+ "transformer.h.7.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
184
+ "transformer.h.7.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
185
+ "transformer.h.7.self_attention.dense.weight": "model-00001-of-00002.safetensors",
186
+ "transformer.h.7.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
187
+ "transformer.h.8.input_layernorm.bias": "model-00001-of-00002.safetensors",
188
+ "transformer.h.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
189
+ "transformer.h.8.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
190
+ "transformer.h.8.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
191
+ "transformer.h.8.self_attention.dense.weight": "model-00001-of-00002.safetensors",
192
+ "transformer.h.8.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
193
+ "transformer.h.9.input_layernorm.bias": "model-00001-of-00002.safetensors",
194
+ "transformer.h.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
195
+ "transformer.h.9.mlp.dense_4h_to_h.weight": "model-00001-of-00002.safetensors",
196
+ "transformer.h.9.mlp.dense_h_to_4h.weight": "model-00001-of-00002.safetensors",
197
+ "transformer.h.9.self_attention.dense.weight": "model-00001-of-00002.safetensors",
198
+ "transformer.h.9.self_attention.query_key_value.weight": "model-00001-of-00002.safetensors",
199
+ "transformer.ln_f.bias": "model-00002-of-00002.safetensors",
200
+ "transformer.ln_f.weight": "model-00002-of-00002.safetensors",
201
+ "transformer.word_embeddings.weight": "model-00001-of-00002.safetensors"
202
+ }
203
+ }