Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
update metadata for gte-v1.5 series models
#99
by
zyznull
- opened
- app.py +0 -0
- model_meta.yaml +1178 -0
app.py
CHANGED
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The diff for this file is too large to render.
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model_meta.yaml
ADDED
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@@ -0,0 +1,1178 @@
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
model_meta:
|
| 2 |
+
Baichuan-text-embedding:
|
| 3 |
+
link: https://platform.baichuan-ai.com/docs/text-Embedding
|
| 4 |
+
seq_len: 512
|
| 5 |
+
size: null
|
| 6 |
+
dim: 1024
|
| 7 |
+
is_external: true
|
| 8 |
+
is_proprietary: true
|
| 9 |
+
is_sentence_transformers_compatible: false
|
| 10 |
+
Cohere-embed-english-v3.0:
|
| 11 |
+
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
| 12 |
+
seq_len: 512
|
| 13 |
+
size: null
|
| 14 |
+
dim: 1024
|
| 15 |
+
is_external: true
|
| 16 |
+
is_proprietary: true
|
| 17 |
+
is_sentence_transformers_compatible: false
|
| 18 |
+
Cohere-embed-multilingual-light-v3.0:
|
| 19 |
+
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-light-v3.0
|
| 20 |
+
seq_len: 512
|
| 21 |
+
size: null
|
| 22 |
+
dim: 384
|
| 23 |
+
is_external: true
|
| 24 |
+
is_proprietary: true
|
| 25 |
+
is_sentence_transformers_compatible: false
|
| 26 |
+
Cohere-embed-multilingual-v3.0:
|
| 27 |
+
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0
|
| 28 |
+
seq_len: 512
|
| 29 |
+
size: null
|
| 30 |
+
dim: 1024
|
| 31 |
+
is_external: true
|
| 32 |
+
is_proprietary: true
|
| 33 |
+
is_sentence_transformers_compatible: false
|
| 34 |
+
DanskBERT:
|
| 35 |
+
link: https://huggingface.co/vesteinn/DanskBERT
|
| 36 |
+
seq_len: 514
|
| 37 |
+
size: 125
|
| 38 |
+
dim: 768
|
| 39 |
+
is_external: true
|
| 40 |
+
is_proprietary: false
|
| 41 |
+
is_sentence_transformers_compatible: true
|
| 42 |
+
LASER2:
|
| 43 |
+
link: https://github.com/facebookresearch/LASER
|
| 44 |
+
seq_len: N/A
|
| 45 |
+
size: 43
|
| 46 |
+
dim: 1024
|
| 47 |
+
is_external: true
|
| 48 |
+
is_proprietary: false
|
| 49 |
+
is_sentence_transformers_compatible: false
|
| 50 |
+
LLM2Vec-Llama-2-supervised:
|
| 51 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised
|
| 52 |
+
seq_len: 4096
|
| 53 |
+
size: 6607
|
| 54 |
+
dim: 4096
|
| 55 |
+
is_external: true
|
| 56 |
+
is_proprietary: false
|
| 57 |
+
is_sentence_transformers_compatible: false
|
| 58 |
+
LLM2Vec-Llama-2-unsupervised:
|
| 59 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
|
| 60 |
+
seq_len: 4096
|
| 61 |
+
size: 6607
|
| 62 |
+
dim: 4096
|
| 63 |
+
is_external: true
|
| 64 |
+
is_proprietary: false
|
| 65 |
+
is_sentence_transformers_compatible: false
|
| 66 |
+
LLM2Vec-Meta-Llama-3-supervised:
|
| 67 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
|
| 68 |
+
seq_len: 8192
|
| 69 |
+
size: 7505
|
| 70 |
+
dim: 4096
|
| 71 |
+
is_external: true
|
| 72 |
+
is_proprietary: false
|
| 73 |
+
is_sentence_transformers_compatible: false
|
| 74 |
+
LLM2Vec-Meta-Llama-3-unsupervised:
|
| 75 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse
|
| 76 |
+
seq_len: 8192
|
| 77 |
+
size: 7505
|
| 78 |
+
dim: 4096
|
| 79 |
+
is_external: true
|
| 80 |
+
is_proprietary: false
|
| 81 |
+
is_sentence_transformers_compatible: false
|
| 82 |
+
LLM2Vec-Mistral-supervised:
|
| 83 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
|
| 84 |
+
seq_len: 32768
|
| 85 |
+
size: 7111
|
| 86 |
+
dim: 4096
|
| 87 |
+
is_external: true
|
| 88 |
+
is_proprietary: false
|
| 89 |
+
is_sentence_transformers_compatible: false
|
| 90 |
+
LLM2Vec-Mistral-unsupervised:
|
| 91 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
|
| 92 |
+
seq_len: 32768
|
| 93 |
+
size: 7111
|
| 94 |
+
dim: 4096
|
| 95 |
+
is_external: true
|
| 96 |
+
is_proprietary: false
|
| 97 |
+
is_sentence_transformers_compatible: false
|
| 98 |
+
LLM2Vec-Sheared-Llama-supervised:
|
| 99 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised
|
| 100 |
+
seq_len: 4096
|
| 101 |
+
size: 1280
|
| 102 |
+
dim: 2048
|
| 103 |
+
is_external: true
|
| 104 |
+
is_proprietary: false
|
| 105 |
+
is_sentence_transformers_compatible: false
|
| 106 |
+
LLM2Vec-Sheared-Llama-unsupervised:
|
| 107 |
+
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
| 108 |
+
seq_len: 4096
|
| 109 |
+
size: 1280
|
| 110 |
+
dim: 2048
|
| 111 |
+
is_external: true
|
| 112 |
+
is_proprietary: false
|
| 113 |
+
is_sentence_transformers_compatible: false
|
| 114 |
+
LaBSE:
|
| 115 |
+
link: https://huggingface.co/sentence-transformers/LaBSE
|
| 116 |
+
seq_len: 512
|
| 117 |
+
size: 471
|
| 118 |
+
dim: 768
|
| 119 |
+
is_external: true
|
| 120 |
+
is_proprietary: false
|
| 121 |
+
is_sentence_transformers_compatible: true
|
| 122 |
+
OpenSearch-text-hybrid:
|
| 123 |
+
link: https://help.aliyun.com/zh/open-search/vector-search-edition/hybrid-retrieval
|
| 124 |
+
seq_len: 512
|
| 125 |
+
size: null
|
| 126 |
+
dim: 1792
|
| 127 |
+
is_external: true
|
| 128 |
+
is_proprietary: true
|
| 129 |
+
is_sentence_transformers_compatible: false
|
| 130 |
+
all-MiniLM-L12-v2:
|
| 131 |
+
link: https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2
|
| 132 |
+
seq_len: 512
|
| 133 |
+
size: 33
|
| 134 |
+
dim: 384
|
| 135 |
+
is_external: true
|
| 136 |
+
is_proprietary: false
|
| 137 |
+
is_sentence_transformers_compatible: true
|
| 138 |
+
all-MiniLM-L6-v2:
|
| 139 |
+
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
| 140 |
+
seq_len: 512
|
| 141 |
+
size: 23
|
| 142 |
+
dim: 384
|
| 143 |
+
is_external: true
|
| 144 |
+
is_proprietary: false
|
| 145 |
+
is_sentence_transformers_compatible: true
|
| 146 |
+
all-mpnet-base-v2:
|
| 147 |
+
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
| 148 |
+
seq_len: 514
|
| 149 |
+
size: 110
|
| 150 |
+
dim: 768
|
| 151 |
+
is_external: true
|
| 152 |
+
is_proprietary: false
|
| 153 |
+
is_sentence_transformers_compatible: true
|
| 154 |
+
allenai-specter:
|
| 155 |
+
link: https://huggingface.co/sentence-transformers/allenai-specter
|
| 156 |
+
seq_len: 512
|
| 157 |
+
size: 110
|
| 158 |
+
dim: 768
|
| 159 |
+
is_external: true
|
| 160 |
+
is_proprietary: false
|
| 161 |
+
is_sentence_transformers_compatible: true
|
| 162 |
+
bert-base-10lang-cased:
|
| 163 |
+
link: https://huggingface.co/Geotrend/bert-base-10lang-cased
|
| 164 |
+
seq_len: 512
|
| 165 |
+
size: 138
|
| 166 |
+
dim: 768
|
| 167 |
+
is_external: true
|
| 168 |
+
is_proprietary: false
|
| 169 |
+
is_sentence_transformers_compatible: true
|
| 170 |
+
bert-base-15lang-cased:
|
| 171 |
+
link: https://huggingface.co/Geotrend/bert-base-15lang-cased
|
| 172 |
+
seq_len: 512
|
| 173 |
+
size: 138
|
| 174 |
+
dim: 768
|
| 175 |
+
is_external: true
|
| 176 |
+
is_proprietary: false
|
| 177 |
+
is_sentence_transformers_compatible: true
|
| 178 |
+
bert-base-25lang-cased:
|
| 179 |
+
link: https://huggingface.co/Geotrend/bert-base-25lang-cased
|
| 180 |
+
seq_len: 512
|
| 181 |
+
size: 138
|
| 182 |
+
dim: 768
|
| 183 |
+
is_external: true
|
| 184 |
+
is_proprietary: false
|
| 185 |
+
is_sentence_transformers_compatible: true
|
| 186 |
+
bert-base-multilingual-cased:
|
| 187 |
+
link: https://huggingface.co/google-bert/bert-base-multilingual-cased
|
| 188 |
+
seq_len: 512
|
| 189 |
+
size: 179
|
| 190 |
+
dim: 768
|
| 191 |
+
is_external: true
|
| 192 |
+
is_proprietary: false
|
| 193 |
+
is_sentence_transformers_compatible: true
|
| 194 |
+
bert-base-multilingual-uncased:
|
| 195 |
+
link: https://huggingface.co/google-bert/bert-base-multilingual-uncased
|
| 196 |
+
seq_len: 512
|
| 197 |
+
size: 168
|
| 198 |
+
dim: 768
|
| 199 |
+
is_external: true
|
| 200 |
+
is_proprietary: false
|
| 201 |
+
is_sentence_transformers_compatible: true
|
| 202 |
+
bert-base-swedish-cased:
|
| 203 |
+
link: https://huggingface.co/KB/bert-base-swedish-cased
|
| 204 |
+
seq_len: 512
|
| 205 |
+
size: 125
|
| 206 |
+
dim: 768
|
| 207 |
+
is_external: true
|
| 208 |
+
is_proprietary: false
|
| 209 |
+
is_sentence_transformers_compatible: true
|
| 210 |
+
bert-base-uncased:
|
| 211 |
+
link: https://huggingface.co/bert-base-uncased
|
| 212 |
+
seq_len: 512
|
| 213 |
+
size: 110
|
| 214 |
+
dim: 768
|
| 215 |
+
is_external: true
|
| 216 |
+
is_proprietary: false
|
| 217 |
+
is_sentence_transformers_compatible: true
|
| 218 |
+
bge-base-zh-v1.5:
|
| 219 |
+
link: https://huggingface.co/BAAI/bge-base-zh-v1.5
|
| 220 |
+
seq_len: 512
|
| 221 |
+
size: 102
|
| 222 |
+
dim: 768
|
| 223 |
+
is_external: true
|
| 224 |
+
is_proprietary: false
|
| 225 |
+
is_sentence_transformers_compatible: true
|
| 226 |
+
bge-large-en-v1.5:
|
| 227 |
+
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
| 228 |
+
seq_len: 512
|
| 229 |
+
size: null
|
| 230 |
+
dim: 1024
|
| 231 |
+
is_external: true
|
| 232 |
+
is_proprietary: false
|
| 233 |
+
is_sentence_transformers_compatible: false
|
| 234 |
+
bge-large-zh-noinstruct:
|
| 235 |
+
link: https://huggingface.co/BAAI/bge-large-zh-noinstruct
|
| 236 |
+
seq_len: 512
|
| 237 |
+
size: 326
|
| 238 |
+
dim: 1024
|
| 239 |
+
is_external: true
|
| 240 |
+
is_proprietary: false
|
| 241 |
+
is_sentence_transformers_compatible: true
|
| 242 |
+
bge-large-zh-v1.5:
|
| 243 |
+
link: https://huggingface.co/BAAI/bge-large-zh-v1.5
|
| 244 |
+
seq_len: 512
|
| 245 |
+
size: 326
|
| 246 |
+
dim: 1024
|
| 247 |
+
is_external: true
|
| 248 |
+
is_proprietary: false
|
| 249 |
+
is_sentence_transformers_compatible: true
|
| 250 |
+
bge-small-zh-v1.5:
|
| 251 |
+
link: https://huggingface.co/BAAI/bge-small-zh-v1.5
|
| 252 |
+
seq_len: 512
|
| 253 |
+
size: 24
|
| 254 |
+
dim: 512
|
| 255 |
+
is_external: true
|
| 256 |
+
is_proprietary: false
|
| 257 |
+
is_sentence_transformers_compatible: true
|
| 258 |
+
camembert-base:
|
| 259 |
+
link: https://huggingface.co/almanach/camembert-base
|
| 260 |
+
seq_len: 512
|
| 261 |
+
size: 111
|
| 262 |
+
dim: 512
|
| 263 |
+
is_external: false
|
| 264 |
+
is_proprietary: false
|
| 265 |
+
is_sentence_transformers_compatible: true
|
| 266 |
+
camembert-large:
|
| 267 |
+
link: https://huggingface.co/almanach/camembert-large
|
| 268 |
+
seq_len: 512
|
| 269 |
+
size: 338
|
| 270 |
+
dim: 768
|
| 271 |
+
is_external: false
|
| 272 |
+
is_proprietary: false
|
| 273 |
+
is_sentence_transformers_compatible: true
|
| 274 |
+
contriever-base-msmarco:
|
| 275 |
+
link: https://huggingface.co/nthakur/contriever-base-msmarco
|
| 276 |
+
seq_len: 512
|
| 277 |
+
size: 110
|
| 278 |
+
dim: 768
|
| 279 |
+
is_external: true
|
| 280 |
+
is_proprietary: false
|
| 281 |
+
is_sentence_transformers_compatible: true
|
| 282 |
+
cross-en-de-roberta-sentence-transformer:
|
| 283 |
+
link: https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer
|
| 284 |
+
seq_len: 514
|
| 285 |
+
size: 278
|
| 286 |
+
dim: 768
|
| 287 |
+
is_external: true
|
| 288 |
+
is_proprietary: false
|
| 289 |
+
is_sentence_transformers_compatible: true
|
| 290 |
+
dfm-encoder-large-v1:
|
| 291 |
+
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
| 292 |
+
seq_len: 512
|
| 293 |
+
size: 355
|
| 294 |
+
dim: 1024
|
| 295 |
+
is_external: true
|
| 296 |
+
is_proprietary: false
|
| 297 |
+
is_sentence_transformers_compatible: true
|
| 298 |
+
dfm-sentence-encoder-large-1:
|
| 299 |
+
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
| 300 |
+
seq_len: 512
|
| 301 |
+
size: 355
|
| 302 |
+
dim: 1024
|
| 303 |
+
is_external: true
|
| 304 |
+
is_proprietary: false
|
| 305 |
+
is_sentence_transformers_compatible: true
|
| 306 |
+
distilbert-base-25lang-cased:
|
| 307 |
+
link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased
|
| 308 |
+
seq_len: 512
|
| 309 |
+
size: 110
|
| 310 |
+
dim: 768
|
| 311 |
+
is_external: false
|
| 312 |
+
is_proprietary: false
|
| 313 |
+
is_sentence_transformers_compatible: true
|
| 314 |
+
distilbert-base-en-fr-cased:
|
| 315 |
+
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased
|
| 316 |
+
seq_len: 512
|
| 317 |
+
size: 110
|
| 318 |
+
dim: 768
|
| 319 |
+
is_external: false
|
| 320 |
+
is_proprietary: false
|
| 321 |
+
is_sentence_transformers_compatible: true
|
| 322 |
+
distilbert-base-en-fr-es-pt-it-cased:
|
| 323 |
+
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-es-pt-it-cased
|
| 324 |
+
seq_len: 512
|
| 325 |
+
size: 110
|
| 326 |
+
dim: 768
|
| 327 |
+
is_external: false
|
| 328 |
+
is_proprietary: false
|
| 329 |
+
is_sentence_transformers_compatible: true
|
| 330 |
+
distilbert-base-fr-cased:
|
| 331 |
+
link: https://huggingface.co/Geotrend/distilbert-base-fr-cased
|
| 332 |
+
seq_len: 512
|
| 333 |
+
size: 110
|
| 334 |
+
dim: 768
|
| 335 |
+
is_external: false
|
| 336 |
+
is_proprietary: false
|
| 337 |
+
is_sentence_transformers_compatible: true
|
| 338 |
+
distilbert-base-uncased:
|
| 339 |
+
link: https://huggingface.co/distilbert-base-uncased
|
| 340 |
+
seq_len: 512
|
| 341 |
+
size: 110
|
| 342 |
+
dim: 768
|
| 343 |
+
is_external: false
|
| 344 |
+
is_proprietary: false
|
| 345 |
+
is_sentence_transformers_compatible: true
|
| 346 |
+
distiluse-base-multilingual-cased-v2:
|
| 347 |
+
link: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2
|
| 348 |
+
seq_len: 512
|
| 349 |
+
size: 135
|
| 350 |
+
dim: 512
|
| 351 |
+
is_external: true
|
| 352 |
+
is_proprietary: false
|
| 353 |
+
is_sentence_transformers_compatible: true
|
| 354 |
+
e5-base:
|
| 355 |
+
link: https://huggingface.co/intfloat/e5-base
|
| 356 |
+
seq_len: 512
|
| 357 |
+
size: 110
|
| 358 |
+
dim: 768
|
| 359 |
+
is_external: true
|
| 360 |
+
is_proprietary: false
|
| 361 |
+
is_sentence_transformers_compatible: true
|
| 362 |
+
e5-large:
|
| 363 |
+
link: https://huggingface.co/intfloat/e5-large
|
| 364 |
+
seq_len: 512
|
| 365 |
+
size: 335
|
| 366 |
+
dim: 1024
|
| 367 |
+
is_external: true
|
| 368 |
+
is_proprietary: false
|
| 369 |
+
is_sentence_transformers_compatible: true
|
| 370 |
+
e5-mistral-7b-instruct:
|
| 371 |
+
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct
|
| 372 |
+
seq_len: 32768
|
| 373 |
+
size: 7111
|
| 374 |
+
dim: 4096
|
| 375 |
+
is_external: true
|
| 376 |
+
is_proprietary: false
|
| 377 |
+
is_sentence_transformers_compatible: true
|
| 378 |
+
e5-small:
|
| 379 |
+
link: https://huggingface.co/intfloat/e5-small
|
| 380 |
+
seq_len: 512
|
| 381 |
+
size: 33
|
| 382 |
+
dim: 384
|
| 383 |
+
is_external: true
|
| 384 |
+
is_proprietary: false
|
| 385 |
+
is_sentence_transformers_compatible: true
|
| 386 |
+
electra-small-nordic:
|
| 387 |
+
link: https://huggingface.co/jonfd/electra-small-nordic
|
| 388 |
+
seq_len: 512
|
| 389 |
+
size: 23
|
| 390 |
+
dim: 256
|
| 391 |
+
is_external: true
|
| 392 |
+
is_proprietary: false
|
| 393 |
+
is_sentence_transformers_compatible: true
|
| 394 |
+
electra-small-swedish-cased-discriminator:
|
| 395 |
+
link: https://huggingface.co/KBLab/electra-small-swedish-cased-discriminator
|
| 396 |
+
seq_len: 512
|
| 397 |
+
size: 16
|
| 398 |
+
dim: 256
|
| 399 |
+
is_external: true
|
| 400 |
+
is_proprietary: false
|
| 401 |
+
is_sentence_transformers_compatible: true
|
| 402 |
+
flaubert_base_cased:
|
| 403 |
+
link: https://huggingface.co/flaubert/flaubert_base_cased
|
| 404 |
+
seq_len: 512
|
| 405 |
+
size: 138
|
| 406 |
+
dim: 768
|
| 407 |
+
is_external: true
|
| 408 |
+
is_proprietary: false
|
| 409 |
+
is_sentence_transformers_compatible: true
|
| 410 |
+
flaubert_base_uncased:
|
| 411 |
+
link: https://huggingface.co/flaubert/flaubert_base_uncased
|
| 412 |
+
seq_len: 512
|
| 413 |
+
size: 138
|
| 414 |
+
dim: 768
|
| 415 |
+
is_external: true
|
| 416 |
+
is_proprietary: false
|
| 417 |
+
is_sentence_transformers_compatible: true
|
| 418 |
+
flaubert_large_cased:
|
| 419 |
+
link: https://huggingface.co/flaubert/flaubert_large_cased
|
| 420 |
+
seq_len: 512
|
| 421 |
+
size: 372
|
| 422 |
+
dim: 1024
|
| 423 |
+
is_external: true
|
| 424 |
+
is_proprietary: false
|
| 425 |
+
is_sentence_transformers_compatible: true
|
| 426 |
+
gbert-base:
|
| 427 |
+
link: https://huggingface.co/deepset/gbert-base
|
| 428 |
+
seq_len: 512
|
| 429 |
+
size: 110
|
| 430 |
+
dim: 768
|
| 431 |
+
is_external: true
|
| 432 |
+
is_proprietary: false
|
| 433 |
+
is_sentence_transformers_compatible: true
|
| 434 |
+
gbert-large:
|
| 435 |
+
link: https://huggingface.co/deepset/gbert-large
|
| 436 |
+
seq_len: 512
|
| 437 |
+
size: 337
|
| 438 |
+
dim: 1024
|
| 439 |
+
is_external: true
|
| 440 |
+
is_proprietary: false
|
| 441 |
+
is_sentence_transformers_compatible: true
|
| 442 |
+
gelectra-base:
|
| 443 |
+
link: https://huggingface.co/deepset/gelectra-base
|
| 444 |
+
seq_len: 512
|
| 445 |
+
size: 110
|
| 446 |
+
dim: 768
|
| 447 |
+
is_external: true
|
| 448 |
+
is_proprietary: false
|
| 449 |
+
is_sentence_transformers_compatible: true
|
| 450 |
+
gelectra-large:
|
| 451 |
+
link: https://huggingface.co/deepset/gelectra-large
|
| 452 |
+
seq_len: 512
|
| 453 |
+
size: 335
|
| 454 |
+
dim: 1024
|
| 455 |
+
is_external: true
|
| 456 |
+
is_proprietary: false
|
| 457 |
+
is_sentence_transformers_compatible: true
|
| 458 |
+
glove.6B.300d:
|
| 459 |
+
link: https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d
|
| 460 |
+
seq_len: N/A
|
| 461 |
+
size: 120
|
| 462 |
+
dim: 300
|
| 463 |
+
is_external: true
|
| 464 |
+
is_proprietary: false
|
| 465 |
+
is_sentence_transformers_compatible: true
|
| 466 |
+
google-gecko-256.text-embedding-preview-0409:
|
| 467 |
+
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
| 468 |
+
seq_len: 2048
|
| 469 |
+
size: 1200
|
| 470 |
+
dim: 256
|
| 471 |
+
is_external: true
|
| 472 |
+
is_proprietary: true
|
| 473 |
+
is_sentence_transformers_compatible: false
|
| 474 |
+
google-gecko.text-embedding-preview-0409:
|
| 475 |
+
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
| 476 |
+
seq_len: 2048
|
| 477 |
+
size: 1200
|
| 478 |
+
dim: 768
|
| 479 |
+
is_external: true
|
| 480 |
+
is_proprietary: true
|
| 481 |
+
is_sentence_transformers_compatible: false
|
| 482 |
+
gottbert-base:
|
| 483 |
+
link: https://huggingface.co/uklfr/gottbert-base
|
| 484 |
+
seq_len: 512
|
| 485 |
+
size: 127
|
| 486 |
+
dim: 768
|
| 487 |
+
is_external: true
|
| 488 |
+
is_proprietary: false
|
| 489 |
+
is_sentence_transformers_compatible: true
|
| 490 |
+
gtr-t5-base:
|
| 491 |
+
link: https://huggingface.co/sentence-transformers/gtr-t5-base
|
| 492 |
+
seq_len: 512
|
| 493 |
+
size: 110
|
| 494 |
+
dim: 768
|
| 495 |
+
is_external: true
|
| 496 |
+
is_proprietary: false
|
| 497 |
+
is_sentence_transformers_compatible: true
|
| 498 |
+
gtr-t5-large:
|
| 499 |
+
link: https://huggingface.co/sentence-transformers/gtr-t5-large
|
| 500 |
+
seq_len: 512
|
| 501 |
+
size: 168
|
| 502 |
+
dim: 768
|
| 503 |
+
is_external: true
|
| 504 |
+
is_proprietary: false
|
| 505 |
+
is_sentence_transformers_compatible: true
|
| 506 |
+
gtr-t5-xl:
|
| 507 |
+
link: https://huggingface.co/sentence-transformers/gtr-t5-xl
|
| 508 |
+
seq_len: 512
|
| 509 |
+
size: 1240
|
| 510 |
+
dim: 768
|
| 511 |
+
is_external: true
|
| 512 |
+
is_proprietary: false
|
| 513 |
+
is_sentence_transformers_compatible: true
|
| 514 |
+
gtr-t5-xxl:
|
| 515 |
+
link: https://huggingface.co/sentence-transformers/gtr-t5-xxl
|
| 516 |
+
seq_len: 512
|
| 517 |
+
size: 4865
|
| 518 |
+
dim: 768
|
| 519 |
+
is_external: true
|
| 520 |
+
is_proprietary: false
|
| 521 |
+
is_sentence_transformers_compatible: true
|
| 522 |
+
herbert-base-retrieval-v2:
|
| 523 |
+
link: https://huggingface.co/ipipan/herbert-base-retrieval-v2
|
| 524 |
+
seq_len: 514
|
| 525 |
+
size: 125
|
| 526 |
+
dim: 768
|
| 527 |
+
is_external: true
|
| 528 |
+
is_proprietary: false
|
| 529 |
+
is_sentence_transformers_compatible: true
|
| 530 |
+
komninos:
|
| 531 |
+
link: https://huggingface.co/sentence-transformers/average_word_embeddings_komninos
|
| 532 |
+
seq_len: N/A
|
| 533 |
+
size: 134
|
| 534 |
+
dim: 300
|
| 535 |
+
is_external: true
|
| 536 |
+
is_proprietary: false
|
| 537 |
+
is_sentence_transformers_compatible: true
|
| 538 |
+
luotuo-bert-medium:
|
| 539 |
+
link: https://huggingface.co/silk-road/luotuo-bert-medium
|
| 540 |
+
seq_len: 512
|
| 541 |
+
size: 328
|
| 542 |
+
dim: 768
|
| 543 |
+
is_external: true
|
| 544 |
+
is_proprietary: false
|
| 545 |
+
is_sentence_transformers_compatible: true
|
| 546 |
+
m3e-base:
|
| 547 |
+
link: https://huggingface.co/moka-ai/m3e-base
|
| 548 |
+
seq_len: 512
|
| 549 |
+
size: 102
|
| 550 |
+
dim: 768
|
| 551 |
+
is_external: true
|
| 552 |
+
is_proprietary: false
|
| 553 |
+
is_sentence_transformers_compatible: true
|
| 554 |
+
m3e-large:
|
| 555 |
+
link: https://huggingface.co/moka-ai/m3e-large
|
| 556 |
+
seq_len: 512
|
| 557 |
+
size: 102
|
| 558 |
+
dim: 768
|
| 559 |
+
is_external: true
|
| 560 |
+
is_proprietary: false
|
| 561 |
+
is_sentence_transformers_compatible: true
|
| 562 |
+
mistral-embed:
|
| 563 |
+
link: https://docs.mistral.ai/guides/embeddings
|
| 564 |
+
seq_len: null
|
| 565 |
+
size: null
|
| 566 |
+
dim: 1024
|
| 567 |
+
is_external: true
|
| 568 |
+
is_proprietary: true
|
| 569 |
+
is_sentence_transformers_compatible: false
|
| 570 |
+
msmarco-bert-co-condensor:
|
| 571 |
+
link: https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor
|
| 572 |
+
seq_len: 512
|
| 573 |
+
size: 110
|
| 574 |
+
dim: 768
|
| 575 |
+
is_external: true
|
| 576 |
+
is_proprietary: false
|
| 577 |
+
is_sentence_transformers_compatible: true
|
| 578 |
+
multi-qa-MiniLM-L6-cos-v1:
|
| 579 |
+
link: https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1
|
| 580 |
+
seq_len: 512
|
| 581 |
+
size: 23
|
| 582 |
+
dim: 384
|
| 583 |
+
is_external: true
|
| 584 |
+
is_proprietary: false
|
| 585 |
+
is_sentence_transformers_compatible: true
|
| 586 |
+
multilingual-e5-base:
|
| 587 |
+
link: https://huggingface.co/intfloat/multilingual-e5-base
|
| 588 |
+
seq_len: 514
|
| 589 |
+
size: 278
|
| 590 |
+
dim: 768
|
| 591 |
+
is_external: true
|
| 592 |
+
is_proprietary: false
|
| 593 |
+
is_sentence_transformers_compatible: true
|
| 594 |
+
multilingual-e5-large:
|
| 595 |
+
link: https://huggingface.co/intfloat/multilingual-e5-large
|
| 596 |
+
seq_len: 514
|
| 597 |
+
size: 560
|
| 598 |
+
dim: 1024
|
| 599 |
+
is_external: true
|
| 600 |
+
is_proprietary: false
|
| 601 |
+
is_sentence_transformers_compatible: true
|
| 602 |
+
multilingual-e5-small:
|
| 603 |
+
link: https://huggingface.co/intfloat/multilingual-e5-small
|
| 604 |
+
seq_len: 512
|
| 605 |
+
size: 118
|
| 606 |
+
dim: 384
|
| 607 |
+
is_external: true
|
| 608 |
+
is_proprietary: false
|
| 609 |
+
is_sentence_transformers_compatible: true
|
| 610 |
+
nb-bert-base:
|
| 611 |
+
link: https://huggingface.co/NbAiLab/nb-bert-base
|
| 612 |
+
seq_len: 512
|
| 613 |
+
size: 179
|
| 614 |
+
dim: 768
|
| 615 |
+
is_external: true
|
| 616 |
+
is_proprietary: false
|
| 617 |
+
is_sentence_transformers_compatible: true
|
| 618 |
+
nb-bert-large:
|
| 619 |
+
link: https://huggingface.co/NbAiLab/nb-bert-large
|
| 620 |
+
seq_len: 512
|
| 621 |
+
size: 355
|
| 622 |
+
dim: 1024
|
| 623 |
+
is_external: true
|
| 624 |
+
is_proprietary: false
|
| 625 |
+
is_sentence_transformers_compatible: true
|
| 626 |
+
nomic-embed-text-v1.5-128:
|
| 627 |
+
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 628 |
+
seq_len: 8192
|
| 629 |
+
size: 138
|
| 630 |
+
dim: 128
|
| 631 |
+
is_external: true
|
| 632 |
+
is_proprietary: false
|
| 633 |
+
is_sentence_transformers_compatible: true
|
| 634 |
+
nomic-embed-text-v1.5-256:
|
| 635 |
+
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
| 636 |
+
seq_len: 8192
|
| 637 |
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is_proprietary: false
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nomic-embed-text-v1.5-512:
|
| 643 |
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link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
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dim: 512
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is_external: true
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is_proprietary: false
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nomic-embed-text-v1.5-64:
|
| 651 |
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link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
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norbert3-base:
|
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link: https://huggingface.co/ltg/norbert3-base
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norbert3-large:
|
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link: https://huggingface.co/ltg/norbert3-large
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paraphrase-multilingual-MiniLM-L12-v2:
|
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link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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paraphrase-multilingual-mpnet-base-v2:
|
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link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
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sentence-bert-swedish-cased:
|
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link: https://huggingface.co/KBLab/sentence-bert-swedish-cased
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sentence-camembert-base:
|
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link: https://huggingface.co/dangvantuan/sentence-camembert-base
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size: 110
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sentence-camembert-large:
|
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link: https://huggingface.co/dangvantuan/sentence-camembert-large
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seq_len: 512
|
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size: 337
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|
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link: https://huggingface.co/Wissam42/sentence-croissant-llm-base
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size: 1280
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sentence-t5-base:
|
| 723 |
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link: https://huggingface.co/sentence-transformers/sentence-t5-base
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| 724 |
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seq_len: 512
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size: 110
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sentence-t5-large:
|
| 731 |
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link: https://huggingface.co/sentence-transformers/sentence-t5-large
|
| 732 |
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seq_len: 512
|
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size: 168
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sentence-t5-xl:
|
| 739 |
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link: https://huggingface.co/sentence-transformers/sentence-t5-xl
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| 740 |
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seq_len: 512
|
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size: 1240
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dim: 768
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sentence-t5-xxl:
|
| 747 |
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link: https://huggingface.co/sentence-transformers/sentence-t5-xxl
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| 748 |
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size: 4865
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silver-retriever-base-v1:
|
| 755 |
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link: https://huggingface.co/ipipan/silver-retriever-base-v1
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size: 125
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st-polish-paraphrase-from-distilroberta:
|
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link: https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta
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size: 125
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st-polish-paraphrase-from-mpnet:
|
| 771 |
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link: https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet
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sup-simcse-bert-base-uncased:
|
| 779 |
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link: https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased
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| 780 |
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size: 110
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text-embedding-3-large:
|
| 787 |
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link: https://openai.com/blog/new-embedding-models-and-api-updates
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| 788 |
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text-embedding-3-large-256:
|
| 795 |
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link: https://openai.com/blog/new-embedding-models-and-api-updates
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| 796 |
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size: null
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text-embedding-3-small:
|
| 803 |
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link: https://openai.com/blog/new-embedding-models-and-api-updates
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size: null
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text-embedding-ada-002:
|
| 811 |
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link: https://openai.com/blog/new-and-improved-embedding-model
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size: null
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text-search-ada-001:
|
| 819 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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size: null
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dim: 1024
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text-search-ada-doc-001:
|
| 827 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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| 828 |
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size: null
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dim: 1024
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text-search-ada-query-001:
|
| 835 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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| 836 |
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seq_len: 2046
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size: null
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dim: 1024
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text-search-babbage-001:
|
| 843 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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| 844 |
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seq_len: 2046
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size: null
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dim: 2048
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text-search-curie-001:
|
| 851 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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size: null
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dim: 4096
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text-search-davinci-001:
|
| 859 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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| 860 |
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size: null
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text-similarity-ada-001:
|
| 867 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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| 868 |
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size: null
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dim: 1024
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text-similarity-babbage-001:
|
| 875 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
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size: null
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text-similarity-curie-001:
|
| 883 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 884 |
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size: null
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|
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text-similarity-davinci-001:
|
| 891 |
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link: https://openai.com/blog/introducing-text-and-code-embeddings
|
| 892 |
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size: null
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dim: 12288
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text2vec-base-chinese:
|
| 899 |
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link: https://huggingface.co/shibing624/text2vec-base-chinese
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|
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size: 102
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dim: 768
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is_sentence_transformers_compatible: true
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text2vec-base-multilingual:
|
| 907 |
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link: null
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seq_len: null
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size: null
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| 910 |
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text2vec-large-chinese:
|
| 915 |
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link: https://huggingface.co/GanymedeNil/text2vec-large-chinese
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| 916 |
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seq_len: 512
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size: 326
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dim: 1024
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|
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is_proprietary: false
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is_sentence_transformers_compatible: true
|
| 922 |
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titan-embed-text-v1:
|
| 923 |
+
link: https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html
|
| 924 |
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seq_len: 8000
|
| 925 |
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size: null
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dim: 1536
|
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| 929 |
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udever-bloom-1b1:
|
| 931 |
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link: https://huggingface.co/izhx/udever-bloom-1b1
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| 932 |
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seq_len: 2048
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size: null
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dim: 1536
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udever-bloom-560m:
|
| 939 |
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link: https://huggingface.co/izhx/udever-bloom-560m
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seq_len: 2048
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size: null
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dim: 1024
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universal-sentence-encoder-multilingual-3:
|
| 947 |
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link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-3
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| 948 |
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seq_len: 512
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size: null
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dim: 512
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|
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universal-sentence-encoder-multilingual-large-3:
|
| 955 |
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link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-large-3
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| 956 |
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seq_len: 512
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size: null
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dim: 512
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is_proprietary: false
|
| 961 |
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unsup-simcse-bert-base-uncased:
|
| 963 |
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link: https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased
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| 964 |
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seq_len: 512
|
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size: 110
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use-cmlm-multilingual:
|
| 971 |
+
link: https://huggingface.co/sentence-transformers/use-cmlm-multilingual
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| 972 |
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seq_len: 512
|
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size: 472
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dim: 768
|
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is_proprietary: false
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is_sentence_transformers_compatible: true
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voyage-2:
|
| 979 |
+
link: https://docs.voyageai.com/embeddings/
|
| 980 |
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seq_len: 1024
|
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size: null
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dim: 1024
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is_proprietary: true
|
| 985 |
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is_sentence_transformers_compatible: false
|
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voyage-code-2:
|
| 987 |
+
link: https://docs.voyageai.com/embeddings/
|
| 988 |
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seq_len: 16000
|
| 989 |
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size: null
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dim: 1536
|
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is_proprietary: true
|
| 993 |
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is_sentence_transformers_compatible: false
|
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voyage-large-2-instruct:
|
| 995 |
+
link: https://docs.voyageai.com/embeddings/
|
| 996 |
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seq_len: 16000
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size: null
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dim: 1024
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is_proprietary: false
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| 1001 |
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is_sentence_transformers_compatible: false
|
| 1002 |
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voyage-law-2:
|
| 1003 |
+
link: https://docs.voyageai.com/embeddings/
|
| 1004 |
+
seq_len: 4000
|
| 1005 |
+
size: null
|
| 1006 |
+
dim: 1024
|
| 1007 |
+
is_external: true
|
| 1008 |
+
is_proprietary: true
|
| 1009 |
+
is_sentence_transformers_compatible: false
|
| 1010 |
+
voyage-lite-01-instruct:
|
| 1011 |
+
link: https://docs.voyageai.com/embeddings/
|
| 1012 |
+
seq_len: 4000
|
| 1013 |
+
size: null
|
| 1014 |
+
dim: 1024
|
| 1015 |
+
is_external: true
|
| 1016 |
+
is_proprietary: true
|
| 1017 |
+
is_sentence_transformers_compatible: false
|
| 1018 |
+
voyage-lite-02-instruct:
|
| 1019 |
+
link: https://docs.voyageai.com/embeddings/
|
| 1020 |
+
seq_len: 4000
|
| 1021 |
+
size: 1220
|
| 1022 |
+
dim: 1024
|
| 1023 |
+
is_external: true
|
| 1024 |
+
is_proprietary: true
|
| 1025 |
+
is_sentence_transformers_compatible: false
|
| 1026 |
+
xlm-roberta-base:
|
| 1027 |
+
link: https://huggingface.co/xlm-roberta-base
|
| 1028 |
+
seq_len: 514
|
| 1029 |
+
size: 279
|
| 1030 |
+
dim: 768
|
| 1031 |
+
is_external: true
|
| 1032 |
+
is_proprietary: false
|
| 1033 |
+
is_sentence_transformers_compatible: true
|
| 1034 |
+
xlm-roberta-large:
|
| 1035 |
+
link: https://huggingface.co/xlm-roberta-large
|
| 1036 |
+
seq_len: 514
|
| 1037 |
+
size: 560
|
| 1038 |
+
dim: 1024
|
| 1039 |
+
is_external: true
|
| 1040 |
+
is_proprietary: false
|
| 1041 |
+
is_sentence_transformers_compatible: true
|
| 1042 |
+
models_to_skip:
|
| 1043 |
+
- michaelfeil/ct2fast-e5-large-v2
|
| 1044 |
+
- McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
| 1045 |
+
- newsrx/instructor-xl
|
| 1046 |
+
- sionic-ai/sionic-ai-v1
|
| 1047 |
+
- lsf1000/bge-evaluation
|
| 1048 |
+
- Intel/bge-small-en-v1.5-sst2
|
| 1049 |
+
- newsrx/instructor-xl-newsrx
|
| 1050 |
+
- McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
|
| 1051 |
+
- McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse
|
| 1052 |
+
- davidpeer/gte-small
|
| 1053 |
+
- goldenrooster/multilingual-e5-large
|
| 1054 |
+
- kozistr/fused-large-en
|
| 1055 |
+
- mixamrepijey/instructor-small
|
| 1056 |
+
- McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised
|
| 1057 |
+
- DecisionOptimizationSystem/DeepFeatEmbeddingLargeContext
|
| 1058 |
+
- Intel/bge-base-en-v1.5-sst2-int8-dynamic
|
| 1059 |
+
- morgendigital/multilingual-e5-large-quantized
|
| 1060 |
+
- BAAI/bge-small-en
|
| 1061 |
+
- ggrn/e5-small-v2
|
| 1062 |
+
- vectoriseai/gte-small
|
| 1063 |
+
- giulio98/placeholder
|
| 1064 |
+
- odunola/UAE-Large-VI
|
| 1065 |
+
- vectoriseai/e5-large-v2
|
| 1066 |
+
- gruber/e5-small-v2-ggml
|
| 1067 |
+
- Severian/nomic
|
| 1068 |
+
- arcdev/e5-mistral-7b-instruct
|
| 1069 |
+
- mlx-community/multilingual-e5-base-mlx
|
| 1070 |
+
- michaelfeil/ct2fast-bge-base-en-v1.5
|
| 1071 |
+
- Intel/bge-small-en-v1.5-sst2-int8-static
|
| 1072 |
+
- jncraton/stella-base-en-v2-ct2-int8
|
| 1073 |
+
- vectoriseai/multilingual-e5-large
|
| 1074 |
+
- rlsChapters/Chapters-SFR-Embedding-Mistral
|
| 1075 |
+
- arcdev/SFR-Embedding-Mistral
|
| 1076 |
+
- McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
|
| 1077 |
+
- McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
|
| 1078 |
+
- vectoriseai/gte-base
|
| 1079 |
+
- mixamrepijey/instructor-models
|
| 1080 |
+
- GovCompete/e5-large-v2
|
| 1081 |
+
- ef-zulla/e5-multi-sml-torch
|
| 1082 |
+
- khoa-klaytn/bge-small-en-v1.5-angle
|
| 1083 |
+
- krilecy/e5-mistral-7b-instruct
|
| 1084 |
+
- vectoriseai/bge-base-en-v1.5
|
| 1085 |
+
- vectoriseai/instructor-base
|
| 1086 |
+
- jingyeom/korean_embedding_model
|
| 1087 |
+
- rizki/bgr-tf
|
| 1088 |
+
- barisaydin/bge-base-en
|
| 1089 |
+
- jamesgpt1/zzz
|
| 1090 |
+
- Malmuk1/e5-large-v2_Sharded
|
| 1091 |
+
- vectoriseai/ember-v1
|
| 1092 |
+
- Consensus/instructor-base
|
| 1093 |
+
- barisaydin/bge-small-en
|
| 1094 |
+
- barisaydin/gte-base
|
| 1095 |
+
- woody72/multilingual-e5-base
|
| 1096 |
+
- Einas/einas_ashkar
|
| 1097 |
+
- michaelfeil/ct2fast-bge-large-en-v1.5
|
| 1098 |
+
- vectoriseai/bge-small-en-v1.5
|
| 1099 |
+
- iampanda/Test
|
| 1100 |
+
- cherubhao/yogamodel
|
| 1101 |
+
- ieasybooks/multilingual-e5-large-onnx
|
| 1102 |
+
- jncraton/e5-small-v2-ct2-int8
|
| 1103 |
+
- radames/e5-large
|
| 1104 |
+
- khoa-klaytn/bge-base-en-v1.5-angle
|
| 1105 |
+
- Intel/bge-base-en-v1.5-sst2-int8-static
|
| 1106 |
+
- vectoriseai/e5-large
|
| 1107 |
+
- TitanML/jina-v2-base-en-embed
|
| 1108 |
+
- Koat/gte-tiny
|
| 1109 |
+
- binqiangliu/EmbeddingModlebgelargeENv1.5
|
| 1110 |
+
- beademiguelperez/sentence-transformers-multilingual-e5-small
|
| 1111 |
+
- sionic-ai/sionic-ai-v2
|
| 1112 |
+
- jamesdborin/jina-v2-base-en-embed
|
| 1113 |
+
- maiyad/multilingual-e5-small
|
| 1114 |
+
- dmlls/all-mpnet-base-v2
|
| 1115 |
+
- odunola/e5-base-v2
|
| 1116 |
+
- vectoriseai/bge-large-en-v1.5
|
| 1117 |
+
- vectoriseai/bge-small-en
|
| 1118 |
+
- karrar-alwaili/UAE-Large-V1
|
| 1119 |
+
- t12e/instructor-base
|
| 1120 |
+
- Frazic/udever-bloom-3b-sentence
|
| 1121 |
+
- Geolumina/instructor-xl
|
| 1122 |
+
- hsikchi/dump
|
| 1123 |
+
- recipe/embeddings
|
| 1124 |
+
- michaelfeil/ct2fast-bge-small-en-v1.5
|
| 1125 |
+
- ildodeltaRule/multilingual-e5-large
|
| 1126 |
+
- shubham-bgi/UAE-Large
|
| 1127 |
+
- BAAI/bge-large-en
|
| 1128 |
+
- michaelfeil/ct2fast-e5-small-v2
|
| 1129 |
+
- cgldo/semanticClone
|
| 1130 |
+
- barisaydin/gte-small
|
| 1131 |
+
- aident-ai/bge-base-en-onnx
|
| 1132 |
+
- jamesgpt1/english-large-v1
|
| 1133 |
+
- michaelfeil/ct2fast-e5-small
|
| 1134 |
+
- baseplate/instructor-large-1
|
| 1135 |
+
- newsrx/instructor-large
|
| 1136 |
+
- Narsil/bge-base-en
|
| 1137 |
+
- michaelfeil/ct2fast-e5-large
|
| 1138 |
+
- mlx-community/multilingual-e5-small-mlx
|
| 1139 |
+
- lightbird-ai/nomic
|
| 1140 |
+
- MaziyarPanahi/GritLM-8x7B-GGUF
|
| 1141 |
+
- newsrx/instructor-large-newsrx
|
| 1142 |
+
- dhairya0907/thenlper-get-large
|
| 1143 |
+
- barisaydin/bge-large-en
|
| 1144 |
+
- jncraton/bge-small-en-ct2-int8
|
| 1145 |
+
- retrainai/instructor-xl
|
| 1146 |
+
- BAAI/bge-base-en
|
| 1147 |
+
- gentlebowl/instructor-large-safetensors
|
| 1148 |
+
- d0rj/e5-large-en-ru
|
| 1149 |
+
- atian-chapters/Chapters-SFR-Embedding-Mistral
|
| 1150 |
+
- Intel/bge-base-en-v1.5-sts-int8-static
|
| 1151 |
+
- Intel/bge-base-en-v1.5-sts-int8-dynamic
|
| 1152 |
+
- jncraton/GIST-small-Embedding-v0-ct2-int8
|
| 1153 |
+
- jncraton/gte-tiny-ct2-int8
|
| 1154 |
+
- d0rj/e5-small-en-ru
|
| 1155 |
+
- vectoriseai/e5-small-v2
|
| 1156 |
+
- SmartComponents/bge-micro-v2
|
| 1157 |
+
- michaelfeil/ct2fast-gte-base
|
| 1158 |
+
- vectoriseai/e5-base-v2
|
| 1159 |
+
- Intel/bge-base-en-v1.5-sst2
|
| 1160 |
+
- McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised
|
| 1161 |
+
- Research2NLP/electrical_stella
|
| 1162 |
+
- weakit-v/bge-base-en-v1.5-onnx
|
| 1163 |
+
- GovCompete/instructor-xl
|
| 1164 |
+
- barisaydin/text2vec-base-multilingual
|
| 1165 |
+
- Intel/bge-small-en-v1.5-sst2-int8-dynamic
|
| 1166 |
+
- jncraton/gte-small-ct2-int8
|
| 1167 |
+
- d0rj/e5-base-en-ru
|
| 1168 |
+
- barisaydin/gte-large
|
| 1169 |
+
- fresha/e5-large-v2-endpoint
|
| 1170 |
+
- vectoriseai/instructor-large
|
| 1171 |
+
- Severian/embed
|
| 1172 |
+
- vectoriseai/e5-base
|
| 1173 |
+
- mlx-community/multilingual-e5-large-mlx
|
| 1174 |
+
- vectoriseai/gte-large
|
| 1175 |
+
- anttip/ct2fast-e5-small-v2-hfie
|
| 1176 |
+
- michaelfeil/ct2fast-gte-large
|
| 1177 |
+
- gizmo-ai/Cohere-embed-multilingual-v3.0
|
| 1178 |
+
- McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
|