Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +1660 -0
- bloom-3b-Q2_K.gguf +3 -0
- bloom-3b-Q3_K_L.gguf +3 -0
- bloom-3b-Q3_K_M.gguf +3 -0
- bloom-3b-Q3_K_S.gguf +3 -0
- bloom-3b-Q4_0.gguf +3 -0
- bloom-3b-Q4_K_M.gguf +3 -0
- bloom-3b-Q4_K_S.gguf +3 -0
- bloom-3b-Q5_0.gguf +3 -0
- bloom-3b-Q5_K_M.gguf +3 -0
- bloom-3b-Q5_K_S.gguf +3 -0
- bloom-3b-Q6_K.gguf +3 -0
- bloom-3b-Q8_0.gguf +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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bloom-3b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,1660 @@
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|
1 |
+
---
|
2 |
+
license: bigscience-bloom-rail-1.0
|
3 |
+
language:
|
4 |
+
- ak
|
5 |
+
- ar
|
6 |
+
- as
|
7 |
+
- bm
|
8 |
+
- bn
|
9 |
+
- ca
|
10 |
+
- code
|
11 |
+
- en
|
12 |
+
- es
|
13 |
+
- eu
|
14 |
+
- fon
|
15 |
+
- fr
|
16 |
+
- gu
|
17 |
+
- hi
|
18 |
+
- id
|
19 |
+
- ig
|
20 |
+
- ki
|
21 |
+
- kn
|
22 |
+
- lg
|
23 |
+
- ln
|
24 |
+
- ml
|
25 |
+
- mr
|
26 |
+
- ne
|
27 |
+
- nso
|
28 |
+
- ny
|
29 |
+
- or
|
30 |
+
- pa
|
31 |
+
- pt
|
32 |
+
- rn
|
33 |
+
- rw
|
34 |
+
- sn
|
35 |
+
- st
|
36 |
+
- sw
|
37 |
+
- ta
|
38 |
+
- te
|
39 |
+
- tn
|
40 |
+
- ts
|
41 |
+
- tum
|
42 |
+
- tw
|
43 |
+
- ur
|
44 |
+
- vi
|
45 |
+
- wo
|
46 |
+
- xh
|
47 |
+
- yo
|
48 |
+
- zh
|
49 |
+
- zhs
|
50 |
+
- zht
|
51 |
+
- zu
|
52 |
+
pipeline_tag: text-generation
|
53 |
+
tags:
|
54 |
+
- TensorBlock
|
55 |
+
- GGUF
|
56 |
+
base_model: bigscience/bloom-3b
|
57 |
+
model-index:
|
58 |
+
- name: bloom
|
59 |
+
results:
|
60 |
+
- task:
|
61 |
+
type: text-generation
|
62 |
+
name: text generation
|
63 |
+
dataset:
|
64 |
+
name: arc_challenge
|
65 |
+
type: arc_challenge
|
66 |
+
metrics:
|
67 |
+
- type: acc
|
68 |
+
value: 0.27986348122866894
|
69 |
+
name: acc
|
70 |
+
verified: false
|
71 |
+
- task:
|
72 |
+
type: text-generation
|
73 |
+
name: text generation
|
74 |
+
dataset:
|
75 |
+
name: arc_easy
|
76 |
+
type: arc_easy
|
77 |
+
metrics:
|
78 |
+
- type: acc
|
79 |
+
value: 0.5946969696969697
|
80 |
+
name: acc
|
81 |
+
verified: false
|
82 |
+
- task:
|
83 |
+
type: text-generation
|
84 |
+
name: text generation
|
85 |
+
dataset:
|
86 |
+
name: axb
|
87 |
+
type: axb
|
88 |
+
metrics:
|
89 |
+
- type: acc
|
90 |
+
value: 0.4433876811594203
|
91 |
+
name: acc
|
92 |
+
verified: false
|
93 |
+
- task:
|
94 |
+
type: text-generation
|
95 |
+
name: text generation
|
96 |
+
dataset:
|
97 |
+
name: axg
|
98 |
+
type: axg
|
99 |
+
metrics:
|
100 |
+
- type: acc
|
101 |
+
value: 0.5
|
102 |
+
name: acc
|
103 |
+
verified: false
|
104 |
+
- task:
|
105 |
+
type: text-generation
|
106 |
+
name: text generation
|
107 |
+
dataset:
|
108 |
+
name: boolq
|
109 |
+
type: boolq
|
110 |
+
metrics:
|
111 |
+
- type: acc
|
112 |
+
value: 0.6165137614678899
|
113 |
+
name: acc
|
114 |
+
verified: false
|
115 |
+
- task:
|
116 |
+
type: text-generation
|
117 |
+
name: text generation
|
118 |
+
dataset:
|
119 |
+
name: cb
|
120 |
+
type: cb
|
121 |
+
metrics:
|
122 |
+
- type: acc
|
123 |
+
value: 0.30357142857142855
|
124 |
+
name: acc
|
125 |
+
verified: false
|
126 |
+
- task:
|
127 |
+
type: text-generation
|
128 |
+
name: text generation
|
129 |
+
dataset:
|
130 |
+
name: cola
|
131 |
+
type: cola
|
132 |
+
metrics:
|
133 |
+
- type: acc
|
134 |
+
value: 0.610738255033557
|
135 |
+
name: acc
|
136 |
+
verified: false
|
137 |
+
- task:
|
138 |
+
type: text-generation
|
139 |
+
name: text generation
|
140 |
+
dataset:
|
141 |
+
name: copa
|
142 |
+
type: copa
|
143 |
+
metrics:
|
144 |
+
- type: acc
|
145 |
+
value: 0.63
|
146 |
+
name: acc
|
147 |
+
verified: false
|
148 |
+
- task:
|
149 |
+
type: text-generation
|
150 |
+
name: text generation
|
151 |
+
dataset:
|
152 |
+
name: crows_pairs_english
|
153 |
+
type: crows_pairs_english
|
154 |
+
metrics:
|
155 |
+
- type: acc
|
156 |
+
value: 0.4973166368515206
|
157 |
+
name: acc
|
158 |
+
verified: false
|
159 |
+
- task:
|
160 |
+
type: text-generation
|
161 |
+
name: text generation
|
162 |
+
dataset:
|
163 |
+
name: crows_pairs_french
|
164 |
+
type: crows_pairs_french
|
165 |
+
metrics:
|
166 |
+
- type: acc
|
167 |
+
value: 0.5032796660703638
|
168 |
+
name: acc
|
169 |
+
verified: false
|
170 |
+
- task:
|
171 |
+
type: text-generation
|
172 |
+
name: text generation
|
173 |
+
dataset:
|
174 |
+
name: diabla
|
175 |
+
type: diabla
|
176 |
+
metrics:
|
177 |
+
- type: acc
|
178 |
+
value: 0.28888308977035493
|
179 |
+
name: acc
|
180 |
+
verified: false
|
181 |
+
- task:
|
182 |
+
type: text-generation
|
183 |
+
name: text generation
|
184 |
+
dataset:
|
185 |
+
name: gsarti/flores_101_afr
|
186 |
+
type: gsarti/flores_101_afr
|
187 |
+
metrics:
|
188 |
+
- type: byte_perplexity
|
189 |
+
value: 6.500798737976343
|
190 |
+
name: byte_perplexity
|
191 |
+
verified: false
|
192 |
+
- task:
|
193 |
+
type: text-generation
|
194 |
+
name: text generation
|
195 |
+
dataset:
|
196 |
+
name: gsarti/flores_101_amh
|
197 |
+
type: gsarti/flores_101_amh
|
198 |
+
metrics:
|
199 |
+
- type: byte_perplexity
|
200 |
+
value: 3.9726863338897145
|
201 |
+
name: byte_perplexity
|
202 |
+
verified: false
|
203 |
+
- task:
|
204 |
+
type: text-generation
|
205 |
+
name: text generation
|
206 |
+
dataset:
|
207 |
+
name: gsarti/flores_101_ara
|
208 |
+
type: gsarti/flores_101_ara
|
209 |
+
metrics:
|
210 |
+
- type: byte_perplexity
|
211 |
+
value: 1.8083841089875814
|
212 |
+
name: byte_perplexity
|
213 |
+
verified: false
|
214 |
+
- task:
|
215 |
+
type: text-generation
|
216 |
+
name: text generation
|
217 |
+
dataset:
|
218 |
+
name: gsarti/flores_101_asm
|
219 |
+
type: gsarti/flores_101_asm
|
220 |
+
metrics:
|
221 |
+
- type: byte_perplexity
|
222 |
+
value: 5.699102962086425
|
223 |
+
name: byte_perplexity
|
224 |
+
verified: false
|
225 |
+
- task:
|
226 |
+
type: text-generation
|
227 |
+
name: text generation
|
228 |
+
dataset:
|
229 |
+
name: gsarti/flores_101_ast
|
230 |
+
type: gsarti/flores_101_ast
|
231 |
+
metrics:
|
232 |
+
- type: byte_perplexity
|
233 |
+
value: 3.9252047073429384
|
234 |
+
name: byte_perplexity
|
235 |
+
verified: false
|
236 |
+
- task:
|
237 |
+
type: text-generation
|
238 |
+
name: text generation
|
239 |
+
dataset:
|
240 |
+
name: gsarti/flores_101_azj
|
241 |
+
type: gsarti/flores_101_azj
|
242 |
+
metrics:
|
243 |
+
- type: byte_perplexity
|
244 |
+
value: 6.942805054270002
|
245 |
+
name: byte_perplexity
|
246 |
+
verified: false
|
247 |
+
- task:
|
248 |
+
type: text-generation
|
249 |
+
name: text generation
|
250 |
+
dataset:
|
251 |
+
name: gsarti/flores_101_bel
|
252 |
+
type: gsarti/flores_101_bel
|
253 |
+
metrics:
|
254 |
+
- type: byte_perplexity
|
255 |
+
value: 3.614136245847082
|
256 |
+
name: byte_perplexity
|
257 |
+
verified: false
|
258 |
+
- task:
|
259 |
+
type: text-generation
|
260 |
+
name: text generation
|
261 |
+
dataset:
|
262 |
+
name: gsarti/flores_101_ben
|
263 |
+
type: gsarti/flores_101_ben
|
264 |
+
metrics:
|
265 |
+
- type: byte_perplexity
|
266 |
+
value: 5.121491534300969
|
267 |
+
name: byte_perplexity
|
268 |
+
verified: false
|
269 |
+
- task:
|
270 |
+
type: text-generation
|
271 |
+
name: text generation
|
272 |
+
dataset:
|
273 |
+
name: gsarti/flores_101_bos
|
274 |
+
type: gsarti/flores_101_bos
|
275 |
+
metrics:
|
276 |
+
- type: byte_perplexity
|
277 |
+
value: 5.653353469118798
|
278 |
+
name: byte_perplexity
|
279 |
+
verified: false
|
280 |
+
- task:
|
281 |
+
type: text-generation
|
282 |
+
name: text generation
|
283 |
+
dataset:
|
284 |
+
name: gsarti/flores_101_bul
|
285 |
+
type: gsarti/flores_101_bul
|
286 |
+
metrics:
|
287 |
+
- type: byte_perplexity
|
288 |
+
value: 2.7014693938055068
|
289 |
+
name: byte_perplexity
|
290 |
+
verified: false
|
291 |
+
- task:
|
292 |
+
type: text-generation
|
293 |
+
name: text generation
|
294 |
+
dataset:
|
295 |
+
name: gsarti/flores_101_cat
|
296 |
+
type: gsarti/flores_101_cat
|
297 |
+
metrics:
|
298 |
+
- type: byte_perplexity
|
299 |
+
value: 2.305190041967345
|
300 |
+
name: byte_perplexity
|
301 |
+
verified: false
|
302 |
+
- task:
|
303 |
+
type: text-generation
|
304 |
+
name: text generation
|
305 |
+
dataset:
|
306 |
+
name: gsarti/flores_101_ceb
|
307 |
+
type: gsarti/flores_101_ceb
|
308 |
+
metrics:
|
309 |
+
- type: byte_perplexity
|
310 |
+
value: 6.291000321323428
|
311 |
+
name: byte_perplexity
|
312 |
+
verified: false
|
313 |
+
- task:
|
314 |
+
type: text-generation
|
315 |
+
name: text generation
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dataset:
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dataset:
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dataset:
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metrics:
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dataset:
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dataset:
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metrics:
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dataset:
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dataset:
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metrics:
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dataset:
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dataset:
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dataset:
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metrics:
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dataset:
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dataset:
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dataset:
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dataset:
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metrics:
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dataset:
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metrics:
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dataset:
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metrics:
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dataset:
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dataset:
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metrics:
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dataset:
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metrics:
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dataset:
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name: gsarti/flores_101_spa
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metrics:
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dataset:
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dataset:
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name: gsarti/flores_101_swe
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dataset:
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metrics:
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dataset:
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name: gsarti/flores_101_tam
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dataset:
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dataset:
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|
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dataset:
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dataset:
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|
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|
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value: 2.7240934990288483
|
1180 |
+
name: byte_perplexity
|
1181 |
+
verified: false
|
1182 |
+
- task:
|
1183 |
+
type: text-generation
|
1184 |
+
name: text generation
|
1185 |
+
dataset:
|
1186 |
+
name: gsarti/flores_101_umb
|
1187 |
+
type: gsarti/flores_101_umb
|
1188 |
+
metrics:
|
1189 |
+
- type: byte_perplexity
|
1190 |
+
value: 12.766915508610673
|
1191 |
+
name: byte_perplexity
|
1192 |
+
verified: false
|
1193 |
+
- task:
|
1194 |
+
type: text-generation
|
1195 |
+
name: text generation
|
1196 |
+
dataset:
|
1197 |
+
name: gsarti/flores_101_urd
|
1198 |
+
type: gsarti/flores_101_urd
|
1199 |
+
metrics:
|
1200 |
+
- type: byte_perplexity
|
1201 |
+
value: 1.9797467071381232
|
1202 |
+
name: byte_perplexity
|
1203 |
+
verified: false
|
1204 |
+
- task:
|
1205 |
+
type: text-generation
|
1206 |
+
name: text generation
|
1207 |
+
dataset:
|
1208 |
+
name: gsarti/flores_101_uzb
|
1209 |
+
type: gsarti/flores_101_uzb
|
1210 |
+
metrics:
|
1211 |
+
- type: byte_perplexity
|
1212 |
+
value: 12.002337637722146
|
1213 |
+
name: byte_perplexity
|
1214 |
+
verified: false
|
1215 |
+
- task:
|
1216 |
+
type: text-generation
|
1217 |
+
name: text generation
|
1218 |
+
dataset:
|
1219 |
+
name: gsarti/flores_101_vie
|
1220 |
+
type: gsarti/flores_101_vie
|
1221 |
+
metrics:
|
1222 |
+
- type: byte_perplexity
|
1223 |
+
value: 1.76578415476397
|
1224 |
+
name: byte_perplexity
|
1225 |
+
verified: false
|
1226 |
+
- task:
|
1227 |
+
type: text-generation
|
1228 |
+
name: text generation
|
1229 |
+
dataset:
|
1230 |
+
name: gsarti/flores_101_wol
|
1231 |
+
type: gsarti/flores_101_wol
|
1232 |
+
metrics:
|
1233 |
+
- type: byte_perplexity
|
1234 |
+
value: 9.144285650306488
|
1235 |
+
name: byte_perplexity
|
1236 |
+
verified: false
|
1237 |
+
- task:
|
1238 |
+
type: text-generation
|
1239 |
+
name: text generation
|
1240 |
+
dataset:
|
1241 |
+
name: gsarti/flores_101_xho
|
1242 |
+
type: gsarti/flores_101_xho
|
1243 |
+
metrics:
|
1244 |
+
- type: byte_perplexity
|
1245 |
+
value: 7.403240538286952
|
1246 |
+
name: byte_perplexity
|
1247 |
+
verified: false
|
1248 |
+
- task:
|
1249 |
+
type: text-generation
|
1250 |
+
name: text generation
|
1251 |
+
dataset:
|
1252 |
+
name: gsarti/flores_101_yor
|
1253 |
+
type: gsarti/flores_101_yor
|
1254 |
+
metrics:
|
1255 |
+
- type: byte_perplexity
|
1256 |
+
value: 5.91272037551173
|
1257 |
+
name: byte_perplexity
|
1258 |
+
verified: false
|
1259 |
+
- task:
|
1260 |
+
type: text-generation
|
1261 |
+
name: text generation
|
1262 |
+
dataset:
|
1263 |
+
name: gsarti/flores_101_zho_simpl
|
1264 |
+
type: gsarti/flores_101_zho_simpl
|
1265 |
+
metrics:
|
1266 |
+
- type: byte_perplexity
|
1267 |
+
value: 2.2769070822768533
|
1268 |
+
name: byte_perplexity
|
1269 |
+
verified: false
|
1270 |
+
- task:
|
1271 |
+
type: text-generation
|
1272 |
+
name: text generation
|
1273 |
+
dataset:
|
1274 |
+
name: gsarti/flores_101_zho_trad
|
1275 |
+
type: gsarti/flores_101_zho_trad
|
1276 |
+
metrics:
|
1277 |
+
- type: byte_perplexity
|
1278 |
+
value: 2.5180582198242383
|
1279 |
+
name: byte_perplexity
|
1280 |
+
verified: false
|
1281 |
+
- task:
|
1282 |
+
type: text-generation
|
1283 |
+
name: text generation
|
1284 |
+
dataset:
|
1285 |
+
name: gsarti/flores_101_zul
|
1286 |
+
type: gsarti/flores_101_zul
|
1287 |
+
metrics:
|
1288 |
+
- type: byte_perplexity
|
1289 |
+
value: 8.53353320693145
|
1290 |
+
name: byte_perplexity
|
1291 |
+
verified: false
|
1292 |
+
- task:
|
1293 |
+
type: text-generation
|
1294 |
+
name: text generation
|
1295 |
+
dataset:
|
1296 |
+
name: headqa
|
1297 |
+
type: headqa
|
1298 |
+
metrics:
|
1299 |
+
- type: acc
|
1300 |
+
value: 0.26440554339897887
|
1301 |
+
name: acc
|
1302 |
+
verified: false
|
1303 |
+
- task:
|
1304 |
+
type: text-generation
|
1305 |
+
name: text generation
|
1306 |
+
dataset:
|
1307 |
+
name: hellaswag
|
1308 |
+
type: hellaswag
|
1309 |
+
metrics:
|
1310 |
+
- type: acc
|
1311 |
+
value: 0.41236805417247563
|
1312 |
+
name: acc
|
1313 |
+
verified: false
|
1314 |
+
- task:
|
1315 |
+
type: text-generation
|
1316 |
+
name: text generation
|
1317 |
+
dataset:
|
1318 |
+
name: logiqa
|
1319 |
+
type: logiqa
|
1320 |
+
metrics:
|
1321 |
+
- type: acc
|
1322 |
+
value: 0.2073732718894009
|
1323 |
+
name: acc
|
1324 |
+
verified: false
|
1325 |
+
- task:
|
1326 |
+
type: text-generation
|
1327 |
+
name: text generation
|
1328 |
+
dataset:
|
1329 |
+
name: mathqa
|
1330 |
+
type: mathqa
|
1331 |
+
metrics:
|
1332 |
+
- type: acc
|
1333 |
+
value: 0.24958123953098826
|
1334 |
+
name: acc
|
1335 |
+
verified: false
|
1336 |
+
- task:
|
1337 |
+
type: text-generation
|
1338 |
+
name: text generation
|
1339 |
+
dataset:
|
1340 |
+
name: mc_taco
|
1341 |
+
type: mc_taco
|
1342 |
+
metrics:
|
1343 |
+
- type: em
|
1344 |
+
value: 0.11936936936936937
|
1345 |
+
name: em
|
1346 |
+
verified: false
|
1347 |
+
- task:
|
1348 |
+
type: text-generation
|
1349 |
+
name: text generation
|
1350 |
+
dataset:
|
1351 |
+
name: mnli
|
1352 |
+
type: mnli
|
1353 |
+
metrics:
|
1354 |
+
- type: acc
|
1355 |
+
value: 0.35496688741721855
|
1356 |
+
name: acc
|
1357 |
+
verified: false
|
1358 |
+
- task:
|
1359 |
+
type: text-generation
|
1360 |
+
name: text generation
|
1361 |
+
dataset:
|
1362 |
+
name: mnli_mismatched
|
1363 |
+
type: mnli_mismatched
|
1364 |
+
metrics:
|
1365 |
+
- type: acc
|
1366 |
+
value: 0.35211554109031734
|
1367 |
+
name: acc
|
1368 |
+
verified: false
|
1369 |
+
- task:
|
1370 |
+
type: text-generation
|
1371 |
+
name: text generation
|
1372 |
+
dataset:
|
1373 |
+
name: mrpc
|
1374 |
+
type: mrpc
|
1375 |
+
metrics:
|
1376 |
+
- type: acc
|
1377 |
+
value: 0.5857843137254902
|
1378 |
+
name: acc
|
1379 |
+
verified: false
|
1380 |
+
- task:
|
1381 |
+
type: text-generation
|
1382 |
+
name: text generation
|
1383 |
+
dataset:
|
1384 |
+
name: multirc
|
1385 |
+
type: multirc
|
1386 |
+
metrics:
|
1387 |
+
- type: acc
|
1388 |
+
value: 0.5375412541254125
|
1389 |
+
name: acc
|
1390 |
+
verified: false
|
1391 |
+
- task:
|
1392 |
+
type: text-generation
|
1393 |
+
name: text generation
|
1394 |
+
dataset:
|
1395 |
+
name: openbookqa
|
1396 |
+
type: openbookqa
|
1397 |
+
metrics:
|
1398 |
+
- type: acc
|
1399 |
+
value: 0.216
|
1400 |
+
name: acc
|
1401 |
+
verified: false
|
1402 |
+
- task:
|
1403 |
+
type: text-generation
|
1404 |
+
name: text generation
|
1405 |
+
dataset:
|
1406 |
+
name: piqa
|
1407 |
+
type: piqa
|
1408 |
+
metrics:
|
1409 |
+
- type: acc
|
1410 |
+
value: 0.7078346028291621
|
1411 |
+
name: acc
|
1412 |
+
verified: false
|
1413 |
+
- task:
|
1414 |
+
type: text-generation
|
1415 |
+
name: text generation
|
1416 |
+
dataset:
|
1417 |
+
name: prost
|
1418 |
+
type: prost
|
1419 |
+
metrics:
|
1420 |
+
- type: acc
|
1421 |
+
value: 0.22683603757472245
|
1422 |
+
name: acc
|
1423 |
+
verified: false
|
1424 |
+
- task:
|
1425 |
+
type: text-generation
|
1426 |
+
name: text generation
|
1427 |
+
dataset:
|
1428 |
+
name: pubmedqa
|
1429 |
+
type: pubmedqa
|
1430 |
+
metrics:
|
1431 |
+
- type: acc
|
1432 |
+
value: 0.616
|
1433 |
+
name: acc
|
1434 |
+
verified: false
|
1435 |
+
- task:
|
1436 |
+
type: text-generation
|
1437 |
+
name: text generation
|
1438 |
+
dataset:
|
1439 |
+
name: qnli
|
1440 |
+
type: qnli
|
1441 |
+
metrics:
|
1442 |
+
- type: acc
|
1443 |
+
value: 0.5072304594545122
|
1444 |
+
name: acc
|
1445 |
+
verified: false
|
1446 |
+
- task:
|
1447 |
+
type: text-generation
|
1448 |
+
name: text generation
|
1449 |
+
dataset:
|
1450 |
+
name: qqp
|
1451 |
+
type: qqp
|
1452 |
+
metrics:
|
1453 |
+
- type: acc
|
1454 |
+
value: 0.3842443729903537
|
1455 |
+
name: acc
|
1456 |
+
verified: false
|
1457 |
+
- task:
|
1458 |
+
type: text-generation
|
1459 |
+
name: text generation
|
1460 |
+
dataset:
|
1461 |
+
name: race
|
1462 |
+
type: race
|
1463 |
+
metrics:
|
1464 |
+
- type: acc
|
1465 |
+
value: 0.3521531100478469
|
1466 |
+
name: acc
|
1467 |
+
verified: false
|
1468 |
+
- task:
|
1469 |
+
type: text-generation
|
1470 |
+
name: text generation
|
1471 |
+
dataset:
|
1472 |
+
name: rte
|
1473 |
+
type: rte
|
1474 |
+
metrics:
|
1475 |
+
- type: acc
|
1476 |
+
value: 0.47653429602888087
|
1477 |
+
name: acc
|
1478 |
+
verified: false
|
1479 |
+
- task:
|
1480 |
+
type: text-generation
|
1481 |
+
name: text generation
|
1482 |
+
dataset:
|
1483 |
+
name: sciq
|
1484 |
+
type: sciq
|
1485 |
+
metrics:
|
1486 |
+
- type: acc
|
1487 |
+
value: 0.892
|
1488 |
+
name: acc
|
1489 |
+
verified: false
|
1490 |
+
- task:
|
1491 |
+
type: text-generation
|
1492 |
+
name: text generation
|
1493 |
+
dataset:
|
1494 |
+
name: sst
|
1495 |
+
type: sst
|
1496 |
+
metrics:
|
1497 |
+
- type: acc
|
1498 |
+
value: 0.5177752293577982
|
1499 |
+
name: acc
|
1500 |
+
verified: false
|
1501 |
+
- task:
|
1502 |
+
type: text-generation
|
1503 |
+
name: text generation
|
1504 |
+
dataset:
|
1505 |
+
name: triviaqa
|
1506 |
+
type: triviaqa
|
1507 |
+
metrics:
|
1508 |
+
- type: acc
|
1509 |
+
value: 0.041633518960487934
|
1510 |
+
name: acc
|
1511 |
+
verified: false
|
1512 |
+
- task:
|
1513 |
+
type: text-generation
|
1514 |
+
name: text generation
|
1515 |
+
dataset:
|
1516 |
+
name: tydiqa_primary
|
1517 |
+
type: tydiqa_primary
|
1518 |
+
metrics:
|
1519 |
+
- type: acc
|
1520 |
+
value: 0.3011337608795236
|
1521 |
+
name: acc
|
1522 |
+
verified: false
|
1523 |
+
- task:
|
1524 |
+
type: text-generation
|
1525 |
+
name: text generation
|
1526 |
+
dataset:
|
1527 |
+
name: webqs
|
1528 |
+
type: webqs
|
1529 |
+
metrics:
|
1530 |
+
- type: acc
|
1531 |
+
value: 0.01673228346456693
|
1532 |
+
name: acc
|
1533 |
+
verified: false
|
1534 |
+
- task:
|
1535 |
+
type: text-generation
|
1536 |
+
name: text generation
|
1537 |
+
dataset:
|
1538 |
+
name: wic
|
1539 |
+
type: wic
|
1540 |
+
metrics:
|
1541 |
+
- type: acc
|
1542 |
+
value: 0.5015673981191222
|
1543 |
+
name: acc
|
1544 |
+
verified: false
|
1545 |
+
- task:
|
1546 |
+
type: text-generation
|
1547 |
+
name: text generation
|
1548 |
+
dataset:
|
1549 |
+
name: winogrande
|
1550 |
+
type: winogrande
|
1551 |
+
metrics:
|
1552 |
+
- type: acc
|
1553 |
+
value: 0.5864246250986582
|
1554 |
+
name: acc
|
1555 |
+
verified: false
|
1556 |
+
- task:
|
1557 |
+
type: text-generation
|
1558 |
+
name: text generation
|
1559 |
+
dataset:
|
1560 |
+
name: wnli
|
1561 |
+
type: wnli
|
1562 |
+
metrics:
|
1563 |
+
- type: acc
|
1564 |
+
value: 0.471830985915493
|
1565 |
+
name: acc
|
1566 |
+
verified: false
|
1567 |
+
- task:
|
1568 |
+
type: text-generation
|
1569 |
+
name: text generation
|
1570 |
+
dataset:
|
1571 |
+
name: wsc
|
1572 |
+
type: wsc
|
1573 |
+
metrics:
|
1574 |
+
- type: acc
|
1575 |
+
value: 0.4423076923076923
|
1576 |
+
name: acc
|
1577 |
+
verified: false
|
1578 |
+
- task:
|
1579 |
+
type: text-generation
|
1580 |
+
name: text generation
|
1581 |
+
dataset:
|
1582 |
+
name: humaneval
|
1583 |
+
type: humaneval
|
1584 |
+
metrics:
|
1585 |
+
- type: pass@1
|
1586 |
+
value: 0.15524390243902436
|
1587 |
+
name: pass@1
|
1588 |
+
verified: false
|
1589 |
+
- type: pass@10
|
1590 |
+
value: 0.3220367632383857
|
1591 |
+
name: pass@10
|
1592 |
+
verified: false
|
1593 |
+
- type: pass@100
|
1594 |
+
value: 0.5545431515723145
|
1595 |
+
name: pass@100
|
1596 |
+
verified: false
|
1597 |
+
---
|
1598 |
+
|
1599 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
1600 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
1601 |
+
</div>
|
1602 |
+
<div style="display: flex; justify-content: space-between; width: 100%;">
|
1603 |
+
<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
1604 |
+
<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
1605 |
+
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
|
1606 |
+
</p>
|
1607 |
+
</div>
|
1608 |
+
</div>
|
1609 |
+
|
1610 |
+
## bigscience/bloom-3b - GGUF
|
1611 |
+
|
1612 |
+
This repo contains GGUF format model files for [bigscience/bloom-3b](https://huggingface.co/bigscience/bloom-3b).
|
1613 |
+
|
1614 |
+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
|
1615 |
+
|
1616 |
+
## Prompt template
|
1617 |
+
|
1618 |
+
```
|
1619 |
+
|
1620 |
+
```
|
1621 |
+
|
1622 |
+
## Model file specification
|
1623 |
+
|
1624 |
+
| Filename | Quant type | File Size | Description |
|
1625 |
+
| -------- | ---------- | --------- | ----------- |
|
1626 |
+
| [bloom-3b-Q2_K.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q2_K.gguf) | Q2_K | 1.516 GB | smallest, significant quality loss - not recommended for most purposes |
|
1627 |
+
| [bloom-3b-Q3_K_S.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q3_K_S.gguf) | Q3_K_S | 1.707 GB | very small, high quality loss |
|
1628 |
+
| [bloom-3b-Q3_K_M.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q3_K_M.gguf) | Q3_K_M | 1.905 GB | very small, high quality loss |
|
1629 |
+
| [bloom-3b-Q3_K_L.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q3_K_L.gguf) | Q3_K_L | 2.016 GB | small, substantial quality loss |
|
1630 |
+
| [bloom-3b-Q4_0.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q4_0.gguf) | Q4_0 | 2.079 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
1631 |
+
| [bloom-3b-Q4_K_S.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q4_K_S.gguf) | Q4_K_S | 2.088 GB | small, greater quality loss |
|
1632 |
+
| [bloom-3b-Q4_K_M.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q4_K_M.gguf) | Q4_K_M | 2.235 GB | medium, balanced quality - recommended |
|
1633 |
+
| [bloom-3b-Q5_0.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q5_0.gguf) | Q5_0 | 2.428 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
1634 |
+
| [bloom-3b-Q5_K_S.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q5_K_S.gguf) | Q5_K_S | 2.428 GB | large, low quality loss - recommended |
|
1635 |
+
| [bloom-3b-Q5_K_M.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q5_K_M.gguf) | Q5_K_M | 2.546 GB | large, very low quality loss - recommended |
|
1636 |
+
| [bloom-3b-Q6_K.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q6_K.gguf) | Q6_K | 2.799 GB | very large, extremely low quality loss |
|
1637 |
+
| [bloom-3b-Q8_0.gguf](https://huggingface.co/tensorblock/bloom-3b-GGUF/tree/main/bloom-3b-Q8_0.gguf) | Q8_0 | 3.621 GB | very large, extremely low quality loss - not recommended |
|
1638 |
+
|
1639 |
+
|
1640 |
+
## Downloading instruction
|
1641 |
+
|
1642 |
+
### Command line
|
1643 |
+
|
1644 |
+
Firstly, install Huggingface Client
|
1645 |
+
|
1646 |
+
```shell
|
1647 |
+
pip install -U "huggingface_hub[cli]"
|
1648 |
+
```
|
1649 |
+
|
1650 |
+
Then, downoad the individual model file the a local directory
|
1651 |
+
|
1652 |
+
```shell
|
1653 |
+
huggingface-cli download tensorblock/bloom-3b-GGUF --include "bloom-3b-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
1654 |
+
```
|
1655 |
+
|
1656 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
1657 |
+
|
1658 |
+
```shell
|
1659 |
+
huggingface-cli download tensorblock/bloom-3b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
1660 |
+
```
|
bloom-3b-Q2_K.gguf
ADDED
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|
|
|
|
|
|
|
|
|
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|
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|
bloom-3b-Q4_0.gguf
ADDED
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|
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|
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size 2231880512
|
bloom-3b-Q4_K_M.gguf
ADDED
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size 2400226112
|
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ADDED
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version https://git-lfs.github.com/spec/v1
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|
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size 2241710912
|
bloom-3b-Q5_0.gguf
ADDED
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ADDED
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|
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size 2734152512
|
bloom-3b-Q5_K_S.gguf
ADDED
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size 2607074112
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bloom-3b-Q6_K.gguf
ADDED
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|
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size 3005717312
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bloom-3b-Q8_0.gguf
ADDED
@@ -0,0 +1,3 @@
|
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