Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Roman Solomatin
commited on
Commit
•
81530b6
1
Parent(s):
f2faa72
update models names
Browse files- EXTERNAL_MODEL_RESULTS.json +0 -0
- model_meta.yaml +221 -221
- refresh.py +4 -2
EXTERNAL_MODEL_RESULTS.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
model_meta.yaml
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
model_meta:
|
2 |
-
|
3 |
link: https://platform.baichuan-ai.com/docs/text-Embedding
|
4 |
seq_len: 512
|
5 |
size: null
|
@@ -8,7 +8,7 @@ model_meta:
|
|
8 |
is_proprietary: true
|
9 |
is_sentence_transformers_compatible: false
|
10 |
uses_instruct: false
|
11 |
-
|
12 |
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
13 |
seq_len: 512
|
14 |
size: null
|
@@ -17,7 +17,7 @@ model_meta:
|
|
17 |
is_proprietary: true
|
18 |
is_sentence_transformers_compatible: false
|
19 |
uses_instruct: false
|
20 |
-
|
21 |
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
22 |
seq_len: 512
|
23 |
size: null
|
@@ -26,7 +26,7 @@ model_meta:
|
|
26 |
is_proprietary: true
|
27 |
is_sentence_transformers_compatible: false
|
28 |
uses_instruct: true
|
29 |
-
|
30 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-light-v3.0
|
31 |
seq_len: 512
|
32 |
size: null
|
@@ -35,7 +35,7 @@ model_meta:
|
|
35 |
is_proprietary: true
|
36 |
is_sentence_transformers_compatible: false
|
37 |
uses_instruct: false
|
38 |
-
|
39 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0
|
40 |
seq_len: 512
|
41 |
size: null
|
@@ -44,7 +44,7 @@ model_meta:
|
|
44 |
is_proprietary: true
|
45 |
is_sentence_transformers_compatible: false
|
46 |
uses_instruct: false
|
47 |
-
|
48 |
link: https://huggingface.co/vesteinn/DanskBERT
|
49 |
seq_len: 514
|
50 |
size: 125
|
@@ -53,7 +53,7 @@ model_meta:
|
|
53 |
is_proprietary: false
|
54 |
is_sentence_transformers_compatible: true
|
55 |
uses_instruct: false
|
56 |
-
|
57 |
link: https://huggingface.co/jhu-clsp/FollowIR-7B
|
58 |
seq_len: 4096
|
59 |
size: 7240
|
@@ -61,7 +61,7 @@ model_meta:
|
|
61 |
is_propietary: false
|
62 |
is_sentence_transformer_compatible: false
|
63 |
uses_instruct: true
|
64 |
-
|
65 |
link: https://huggingface.co/GritLM/GritLM-7B
|
66 |
seq_len: 4096
|
67 |
size: 7240
|
@@ -69,7 +69,7 @@ model_meta:
|
|
69 |
is_propietary: false
|
70 |
is_sentence_transformer_compatible: false
|
71 |
uses_instruct: true
|
72 |
-
|
73 |
link: https://huggingface.co/GritLM/GritLM-7B
|
74 |
seq_len: 4096
|
75 |
size: 7240
|
@@ -77,7 +77,7 @@ model_meta:
|
|
77 |
is_propietary: false
|
78 |
is_sentence_transformer_compatible: false
|
79 |
uses_instruct: false
|
80 |
-
|
81 |
link: https://github.com/facebookresearch/LASER
|
82 |
seq_len: N/A
|
83 |
size: 43
|
@@ -86,7 +86,7 @@ model_meta:
|
|
86 |
is_proprietary: false
|
87 |
is_sentence_transformers_compatible: false
|
88 |
uses_instruct: false
|
89 |
-
|
90 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised
|
91 |
seq_len: 4096
|
92 |
size: 6607
|
@@ -95,7 +95,7 @@ model_meta:
|
|
95 |
is_proprietary: false
|
96 |
is_sentence_transformers_compatible: false
|
97 |
uses_instruct: true
|
98 |
-
|
99 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
|
100 |
seq_len: 4096
|
101 |
size: 6607
|
@@ -104,7 +104,7 @@ model_meta:
|
|
104 |
is_proprietary: false
|
105 |
is_sentence_transformers_compatible: false
|
106 |
uses_instruct: true
|
107 |
-
|
108 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
|
109 |
seq_len: 8192
|
110 |
size: 7505
|
@@ -113,7 +113,7 @@ model_meta:
|
|
113 |
is_proprietary: false
|
114 |
is_sentence_transformers_compatible: false
|
115 |
uses_instruct: true
|
116 |
-
|
117 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse
|
118 |
seq_len: 8192
|
119 |
size: 7505
|
@@ -122,7 +122,7 @@ model_meta:
|
|
122 |
is_proprietary: false
|
123 |
is_sentence_transformers_compatible: false
|
124 |
uses_instruct: true
|
125 |
-
|
126 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
|
127 |
seq_len: 32768
|
128 |
size: 7111
|
@@ -131,7 +131,7 @@ model_meta:
|
|
131 |
is_proprietary: false
|
132 |
is_sentence_transformers_compatible: false
|
133 |
uses_instruct: true
|
134 |
-
|
135 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
|
136 |
seq_len: 32768
|
137 |
size: 7111
|
@@ -140,7 +140,7 @@ model_meta:
|
|
140 |
is_proprietary: false
|
141 |
is_sentence_transformers_compatible: false
|
142 |
uses_instruct: true
|
143 |
-
|
144 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised
|
145 |
seq_len: 4096
|
146 |
size: 1280
|
@@ -149,7 +149,7 @@ model_meta:
|
|
149 |
is_proprietary: false
|
150 |
is_sentence_transformers_compatible: false
|
151 |
uses_instruct: true
|
152 |
-
|
153 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
154 |
seq_len: 4096
|
155 |
size: 1280
|
@@ -158,7 +158,7 @@ model_meta:
|
|
158 |
is_proprietary: false
|
159 |
is_sentence_transformers_compatible: false
|
160 |
uses_instruct: true
|
161 |
-
|
162 |
link: https://huggingface.co/sentence-transformers/LaBSE
|
163 |
seq_len: 512
|
164 |
size: 471
|
@@ -203,7 +203,7 @@ model_meta:
|
|
203 |
is_proprietary: false
|
204 |
is_sentence_transformers_compatible: false
|
205 |
uses_instruct: true
|
206 |
-
|
207 |
link: https://help.aliyun.com/zh/open-search/vector-search-edition/hybrid-retrieval
|
208 |
seq_len: 512
|
209 |
size: null
|
@@ -212,7 +212,7 @@ model_meta:
|
|
212 |
is_proprietary: true
|
213 |
is_sentence_transformers_compatible: false
|
214 |
uses_instruct: false
|
215 |
-
|
216 |
link: https://huggingface.co/Salesforce/SFR-Embedding-Mistral
|
217 |
seq_len: 32768
|
218 |
size: 7111
|
@@ -230,7 +230,7 @@ model_meta:
|
|
230 |
is_proprietary: false
|
231 |
is_sentence_transformers_compatible: true
|
232 |
uses_instruct: true
|
233 |
-
|
234 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2
|
235 |
seq_len: 512
|
236 |
size: 33
|
@@ -239,7 +239,7 @@ model_meta:
|
|
239 |
is_proprietary: false
|
240 |
is_sentence_transformers_compatible: true
|
241 |
uses_instruct: false
|
242 |
-
|
243 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
244 |
seq_len: 512
|
245 |
size: 23
|
@@ -248,7 +248,7 @@ model_meta:
|
|
248 |
is_proprietary: false
|
249 |
is_sentence_transformers_compatible: true
|
250 |
uses_instruct: false
|
251 |
-
|
252 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
253 |
seq_len: 512
|
254 |
size: 23
|
@@ -256,8 +256,8 @@ model_meta:
|
|
256 |
is_external: true
|
257 |
is_proprietary: false
|
258 |
is_sentence_transformers_compatible: true
|
259 |
-
uses_instruct: true
|
260 |
-
|
261 |
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
262 |
seq_len: 514
|
263 |
size: 110
|
@@ -266,7 +266,7 @@ model_meta:
|
|
266 |
is_proprietary: false
|
267 |
is_sentence_transformers_compatible: true
|
268 |
uses_instruct: false
|
269 |
-
|
270 |
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
271 |
seq_len: 514
|
272 |
size: 110
|
@@ -274,8 +274,8 @@ model_meta:
|
|
274 |
is_external: true
|
275 |
is_proprietary: false
|
276 |
is_sentence_transformers_compatible: true
|
277 |
-
uses_instruct: true
|
278 |
-
|
279 |
link: https://huggingface.co/sentence-transformers/allenai-specter
|
280 |
seq_len: 512
|
281 |
size: 110
|
@@ -284,7 +284,7 @@ model_meta:
|
|
284 |
is_proprietary: false
|
285 |
is_sentence_transformers_compatible: true
|
286 |
uses_instruct: false
|
287 |
-
|
288 |
link: https://huggingface.co/Geotrend/bert-base-10lang-cased
|
289 |
seq_len: 512
|
290 |
size: 138
|
@@ -293,7 +293,7 @@ model_meta:
|
|
293 |
is_proprietary: false
|
294 |
is_sentence_transformers_compatible: true
|
295 |
uses_instruct: false
|
296 |
-
|
297 |
link: https://huggingface.co/Geotrend/bert-base-15lang-cased
|
298 |
seq_len: 512
|
299 |
size: 138
|
@@ -302,7 +302,7 @@ model_meta:
|
|
302 |
is_proprietary: false
|
303 |
is_sentence_transformers_compatible: true
|
304 |
uses_instruct: false
|
305 |
-
|
306 |
link: https://huggingface.co/Geotrend/bert-base-25lang-cased
|
307 |
seq_len: 512
|
308 |
size: 138
|
@@ -311,7 +311,7 @@ model_meta:
|
|
311 |
is_proprietary: false
|
312 |
is_sentence_transformers_compatible: true
|
313 |
uses_instruct: false
|
314 |
-
|
315 |
link: https://huggingface.co/google-bert/bert-base-multilingual-cased
|
316 |
seq_len: 512
|
317 |
size: 179
|
@@ -320,7 +320,7 @@ model_meta:
|
|
320 |
is_proprietary: false
|
321 |
is_sentence_transformers_compatible: true
|
322 |
uses_instruct: false
|
323 |
-
|
324 |
link: https://huggingface.co/google-bert/bert-base-multilingual-uncased
|
325 |
seq_len: 512
|
326 |
size: 168
|
@@ -329,7 +329,7 @@ model_meta:
|
|
329 |
is_proprietary: false
|
330 |
is_sentence_transformers_compatible: true
|
331 |
uses_instruct: false
|
332 |
-
|
333 |
link: https://huggingface.co/KB/bert-base-swedish-cased
|
334 |
seq_len: 512
|
335 |
size: 125
|
@@ -338,8 +338,8 @@ model_meta:
|
|
338 |
is_proprietary: false
|
339 |
is_sentence_transformers_compatible: true
|
340 |
uses_instruct: false
|
341 |
-
|
342 |
-
link: https://huggingface.co/bert-base-uncased
|
343 |
seq_len: 512
|
344 |
size: 110
|
345 |
dim: 768
|
@@ -347,7 +347,7 @@ model_meta:
|
|
347 |
is_proprietary: false
|
348 |
is_sentence_transformers_compatible: true
|
349 |
uses_instruct: false
|
350 |
-
|
351 |
link: https://huggingface.co/BAAI/bge-base-en-v1.5
|
352 |
seq_len: 512
|
353 |
size: 109
|
@@ -356,7 +356,7 @@ model_meta:
|
|
356 |
is_proprietary: false
|
357 |
is_sentence_transformers_compatible: false
|
358 |
uses_instruct: false
|
359 |
-
|
360 |
link: https://huggingface.co/BAAI/bge-base-en-v1.5
|
361 |
seq_len: 512
|
362 |
size: 109
|
@@ -364,8 +364,8 @@ model_meta:
|
|
364 |
is_external: true
|
365 |
is_proprietary: false
|
366 |
is_sentence_transformers_compatible: false
|
367 |
-
uses_instruct: true
|
368 |
-
|
369 |
link: https://huggingface.co/BAAI/bge-base-zh-v1.5
|
370 |
seq_len: 512
|
371 |
size: 102
|
@@ -392,7 +392,7 @@ model_meta:
|
|
392 |
is_proprietary: false
|
393 |
is_sentence_transformers_compatible: false
|
394 |
uses_instruct: true
|
395 |
-
|
396 |
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
397 |
seq_len: 512
|
398 |
size: 1340
|
@@ -401,7 +401,7 @@ model_meta:
|
|
401 |
is_proprietary: false
|
402 |
is_sentence_transformers_compatible: false
|
403 |
uses_instruct: false
|
404 |
-
|
405 |
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
406 |
seq_len: 512
|
407 |
size: 1340
|
@@ -409,8 +409,8 @@ model_meta:
|
|
409 |
is_external: true
|
410 |
is_proprietary: false
|
411 |
is_sentence_transformers_compatible: false
|
412 |
-
uses_instruct: true
|
413 |
-
|
414 |
link: https://huggingface.co/BAAI/bge-large-zh-noinstruct
|
415 |
seq_len: 512
|
416 |
size: 326
|
@@ -419,7 +419,7 @@ model_meta:
|
|
419 |
is_proprietary: false
|
420 |
is_sentence_transformers_compatible: true
|
421 |
uses_instruct: false
|
422 |
-
|
423 |
link: https://huggingface.co/BAAI/bge-large-zh-v1.5
|
424 |
seq_len: 512
|
425 |
size: 326
|
@@ -428,25 +428,25 @@ model_meta:
|
|
428 |
is_proprietary: false
|
429 |
is_sentence_transformers_compatible: true
|
430 |
uses_instruct: false
|
431 |
-
|
432 |
link: https://huggingface.co/BAAI/bge-m3
|
433 |
seq_len: 8192
|
434 |
size: 567
|
435 |
dim: 1024
|
436 |
is_external: true
|
437 |
is_proprietary: false
|
438 |
-
is_sentence_transformers_compatible: false
|
439 |
uses_instruct: false
|
440 |
-
|
441 |
link: https://huggingface.co/BAAI/bge-m3
|
442 |
seq_len: 8192
|
443 |
size: 567
|
444 |
dim: 1024
|
445 |
is_external: true
|
446 |
is_proprietary: false
|
447 |
-
is_sentence_transformers_compatible: false
|
448 |
-
uses_instruct: true
|
449 |
-
|
450 |
link: https://huggingface.co/BAAI/bge-small-en-v1.5
|
451 |
seq_len: 512
|
452 |
size: 24
|
@@ -455,7 +455,7 @@ model_meta:
|
|
455 |
is_proprietary: false
|
456 |
is_sentence_transformers_compatible: true
|
457 |
uses_instruct: false
|
458 |
-
|
459 |
link: https://huggingface.co/BAAI/bge-small-en-v1.5
|
460 |
seq_len: 512
|
461 |
size: 24
|
@@ -463,8 +463,8 @@ model_meta:
|
|
463 |
is_external: true
|
464 |
is_proprietary: false
|
465 |
is_sentence_transformers_compatible: true
|
466 |
-
uses_instruct: true
|
467 |
-
|
468 |
link: https://huggingface.co/BAAI/bge-small-zh-v1.5
|
469 |
seq_len: 512
|
470 |
size: 24
|
@@ -486,8 +486,8 @@ model_meta:
|
|
486 |
is_external: true
|
487 |
is_proprietary: false
|
488 |
is_sentence_transformers_compatible: false
|
489 |
-
uses_instruct: false
|
490 |
-
|
491 |
link: https://huggingface.co/almanach/camembert-base
|
492 |
seq_len: 512
|
493 |
size: 111
|
@@ -496,7 +496,7 @@ model_meta:
|
|
496 |
is_proprietary: false
|
497 |
is_sentence_transformers_compatible: true
|
498 |
uses_instruct: false
|
499 |
-
|
500 |
link: https://huggingface.co/almanach/camembert-large
|
501 |
seq_len: 512
|
502 |
size: 338
|
@@ -505,7 +505,7 @@ model_meta:
|
|
505 |
is_proprietary: false
|
506 |
is_sentence_transformers_compatible: true
|
507 |
uses_instruct: false
|
508 |
-
|
509 |
link: https://huggingface.co/nthakur/contriever-base-msmarco
|
510 |
seq_len: 512
|
511 |
size: 110
|
@@ -514,7 +514,7 @@ model_meta:
|
|
514 |
is_proprietary: false
|
515 |
is_sentence_transformers_compatible: true
|
516 |
uses_instruct: false
|
517 |
-
|
518 |
link: https://huggingface.co/facebook/contriever
|
519 |
seq_len: 512
|
520 |
size: 438
|
@@ -522,8 +522,8 @@ model_meta:
|
|
522 |
is_external: true
|
523 |
is_proprietary: false
|
524 |
is_sentence_transformers_compatible: false
|
525 |
-
uses_instruct: false
|
526 |
-
|
527 |
link: https://huggingface.co/facebook/contriever
|
528 |
seq_len: 512
|
529 |
size: 438
|
@@ -531,8 +531,8 @@ model_meta:
|
|
531 |
is_external: true
|
532 |
is_proprietary: false
|
533 |
is_sentence_transformers_compatible: false
|
534 |
-
uses_instruct: true
|
535 |
-
|
536 |
link: https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer
|
537 |
seq_len: 514
|
538 |
size: 278
|
@@ -541,7 +541,7 @@ model_meta:
|
|
541 |
is_proprietary: false
|
542 |
is_sentence_transformers_compatible: true
|
543 |
uses_instruct: false
|
544 |
-
|
545 |
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
546 |
seq_len: 512
|
547 |
size: 355
|
@@ -550,7 +550,7 @@ model_meta:
|
|
550 |
is_proprietary: false
|
551 |
is_sentence_transformers_compatible: true
|
552 |
uses_instruct: false
|
553 |
-
|
554 |
link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased
|
555 |
seq_len: 512
|
556 |
size: 110
|
@@ -559,7 +559,7 @@ model_meta:
|
|
559 |
is_proprietary: false
|
560 |
is_sentence_transformers_compatible: true
|
561 |
uses_instruct: false
|
562 |
-
|
563 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased
|
564 |
seq_len: 512
|
565 |
size: 110
|
@@ -568,7 +568,7 @@ model_meta:
|
|
568 |
is_proprietary: false
|
569 |
is_sentence_transformers_compatible: true
|
570 |
uses_instruct: false
|
571 |
-
|
572 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-es-pt-it-cased
|
573 |
seq_len: 512
|
574 |
size: 110
|
@@ -577,7 +577,7 @@ model_meta:
|
|
577 |
is_proprietary: false
|
578 |
is_sentence_transformers_compatible: true
|
579 |
uses_instruct: false
|
580 |
-
|
581 |
link: https://huggingface.co/Geotrend/distilbert-base-fr-cased
|
582 |
seq_len: 512
|
583 |
size: 110
|
@@ -586,8 +586,8 @@ model_meta:
|
|
586 |
is_proprietary: false
|
587 |
is_sentence_transformers_compatible: true
|
588 |
uses_instruct: false
|
589 |
-
|
590 |
-
link: https://huggingface.co/distilbert-base-uncased
|
591 |
seq_len: 512
|
592 |
size: 110
|
593 |
dim: 768
|
@@ -595,7 +595,7 @@ model_meta:
|
|
595 |
is_proprietary: false
|
596 |
is_sentence_transformers_compatible: true
|
597 |
uses_instruct: false
|
598 |
-
|
599 |
link: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2
|
600 |
seq_len: 512
|
601 |
size: 135
|
@@ -604,7 +604,7 @@ model_meta:
|
|
604 |
is_proprietary: false
|
605 |
is_sentence_transformers_compatible: true
|
606 |
uses_instruct: false
|
607 |
-
|
608 |
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
|
609 |
seq_len: 512
|
610 |
size: 438
|
@@ -613,16 +613,16 @@ model_meta:
|
|
613 |
is_proprietary: false
|
614 |
is_sentence_transformers_compatible: false
|
615 |
uses_instruct: false
|
616 |
-
|
617 |
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
|
618 |
seq_len: 512
|
619 |
size: 438
|
620 |
dim: 768
|
621 |
is_external: true
|
622 |
is_proprietary: false
|
623 |
-
is_sentence_transformers_compatible: false
|
624 |
uses_instruct: true
|
625 |
-
|
626 |
link: https://huggingface.co/dwzhu/e5-base-4k
|
627 |
seq_len: 512
|
628 |
size: 110
|
@@ -631,7 +631,7 @@ model_meta:
|
|
631 |
is_proprietary: false
|
632 |
is_sentence_transformers_compatible: true
|
633 |
uses_instruct: false
|
634 |
-
|
635 |
link: https://huggingface.co/intfloat/e5-base-v2
|
636 |
seq_len: 512
|
637 |
size: 110
|
@@ -640,7 +640,7 @@ model_meta:
|
|
640 |
is_proprietary: false
|
641 |
is_sentence_transformers_compatible: true
|
642 |
uses_instruct: false
|
643 |
-
|
644 |
link: https://huggingface.co/intfloat/e5-base
|
645 |
seq_len: 512
|
646 |
size: 110
|
@@ -649,7 +649,7 @@ model_meta:
|
|
649 |
is_proprietary: false
|
650 |
is_sentence_transformers_compatible: true
|
651 |
uses_instruct: false
|
652 |
-
|
653 |
link: https://huggingface.co/intfloat/e5-large-v2
|
654 |
seq_len: 512
|
655 |
size: 335
|
@@ -658,7 +658,7 @@ model_meta:
|
|
658 |
is_proprietary: false
|
659 |
is_sentence_transformers_compatible: true
|
660 |
uses_instruct: false
|
661 |
-
|
662 |
link: https://huggingface.co/intfloat/e5-large
|
663 |
seq_len: 512
|
664 |
size: 335
|
@@ -667,7 +667,7 @@ model_meta:
|
|
667 |
is_proprietary: false
|
668 |
is_sentence_transformers_compatible: true
|
669 |
uses_instruct: false
|
670 |
-
|
671 |
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct
|
672 |
seq_len: 32768
|
673 |
size: 7111
|
@@ -676,7 +676,7 @@ model_meta:
|
|
676 |
is_proprietary: false
|
677 |
is_sentence_transformers_compatible: true
|
678 |
uses_instruct: true
|
679 |
-
|
680 |
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct-noinstruct
|
681 |
seq_len: 32768
|
682 |
size: 7111
|
@@ -684,8 +684,8 @@ model_meta:
|
|
684 |
is_external: true
|
685 |
is_proprietary: false
|
686 |
is_sentence_transformers_compatible: true
|
687 |
-
uses_instruct: false
|
688 |
-
|
689 |
link: https://huggingface.co/intfloat/e5-small
|
690 |
seq_len: 512
|
691 |
size: 33
|
@@ -694,7 +694,7 @@ model_meta:
|
|
694 |
is_proprietary: false
|
695 |
is_sentence_transformers_compatible: true
|
696 |
uses_instruct: false
|
697 |
-
|
698 |
link: https://huggingface.co/jonfd/electra-small-nordic
|
699 |
seq_len: 512
|
700 |
size: 23
|
@@ -703,7 +703,7 @@ model_meta:
|
|
703 |
is_proprietary: false
|
704 |
is_sentence_transformers_compatible: true
|
705 |
uses_instruct: false
|
706 |
-
|
707 |
link: https://huggingface.co/KBLab/electra-small-swedish-cased-discriminator
|
708 |
seq_len: 512
|
709 |
size: 16
|
@@ -712,16 +712,16 @@ model_meta:
|
|
712 |
is_proprietary: false
|
713 |
is_sentence_transformers_compatible: true
|
714 |
uses_instruct: false
|
715 |
-
|
716 |
link: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html
|
717 |
seq_len: 512
|
718 |
size: 110
|
719 |
dim: 30522
|
720 |
is_external: true
|
721 |
is_proprietary: false
|
722 |
-
is_sentence_transformers_compatible: false
|
723 |
uses_instruct: false
|
724 |
-
|
725 |
link: https://huggingface.co/google/flan-t5-base
|
726 |
seq_len: 512
|
727 |
size: 220
|
@@ -730,7 +730,7 @@ model_meta:
|
|
730 |
is_proprietary: false
|
731 |
is_sentence_transformers_compatible: true
|
732 |
uses_instruct: true
|
733 |
-
|
734 |
link: https://huggingface.co/google/flan-t5-large
|
735 |
seq_len: 512
|
736 |
size: 770
|
@@ -739,7 +739,7 @@ model_meta:
|
|
739 |
is_proprietary: false
|
740 |
is_sentence_transformers_compatible: true
|
741 |
uses_instruct: true
|
742 |
-
|
743 |
link: https://huggingface.co/flaubert/flaubert_base_cased
|
744 |
seq_len: 512
|
745 |
size: 138
|
@@ -748,7 +748,7 @@ model_meta:
|
|
748 |
is_proprietary: false
|
749 |
is_sentence_transformers_compatible: true
|
750 |
uses_instruct: false
|
751 |
-
|
752 |
link: https://huggingface.co/flaubert/flaubert_base_uncased
|
753 |
seq_len: 512
|
754 |
size: 138
|
@@ -757,7 +757,7 @@ model_meta:
|
|
757 |
is_proprietary: false
|
758 |
is_sentence_transformers_compatible: true
|
759 |
uses_instruct: false
|
760 |
-
|
761 |
link: https://huggingface.co/flaubert/flaubert_large_cased
|
762 |
seq_len: 512
|
763 |
size: 372
|
@@ -766,7 +766,7 @@ model_meta:
|
|
766 |
is_proprietary: false
|
767 |
is_sentence_transformers_compatible: true
|
768 |
uses_instruct: false
|
769 |
-
|
770 |
link: https://huggingface.co/deepset/gbert-base
|
771 |
seq_len: 512
|
772 |
size: 110
|
@@ -775,7 +775,7 @@ model_meta:
|
|
775 |
is_proprietary: false
|
776 |
is_sentence_transformers_compatible: true
|
777 |
uses_instruct: false
|
778 |
-
|
779 |
link: https://huggingface.co/deepset/gbert-large
|
780 |
seq_len: 512
|
781 |
size: 337
|
@@ -784,7 +784,7 @@ model_meta:
|
|
784 |
is_proprietary: false
|
785 |
is_sentence_transformers_compatible: true
|
786 |
uses_instruct: false
|
787 |
-
|
788 |
link: https://huggingface.co/deepset/gelectra-base
|
789 |
seq_len: 512
|
790 |
size: 110
|
@@ -793,7 +793,7 @@ model_meta:
|
|
793 |
is_proprietary: false
|
794 |
is_sentence_transformers_compatible: true
|
795 |
uses_instruct: false
|
796 |
-
|
797 |
link: https://huggingface.co/deepset/gelectra-large
|
798 |
seq_len: 512
|
799 |
size: 335
|
@@ -802,7 +802,7 @@ model_meta:
|
|
802 |
is_proprietary: false
|
803 |
is_sentence_transformers_compatible: true
|
804 |
uses_instruct: false
|
805 |
-
|
806 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d
|
807 |
seq_len: N/A
|
808 |
size: 120
|
@@ -811,7 +811,7 @@ model_meta:
|
|
811 |
is_proprietary: false
|
812 |
is_sentence_transformers_compatible: true
|
813 |
uses_instruct: false
|
814 |
-
google-
|
815 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
816 |
seq_len: 2048
|
817 |
size: 1200
|
@@ -820,7 +820,7 @@ model_meta:
|
|
820 |
is_proprietary: true
|
821 |
is_sentence_transformers_compatible: false
|
822 |
uses_instruct: false
|
823 |
-
google-
|
824 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
825 |
seq_len: 2048
|
826 |
size: 1200
|
@@ -829,7 +829,7 @@ model_meta:
|
|
829 |
is_proprietary: true
|
830 |
is_sentence_transformers_compatible: false
|
831 |
uses_instruct: false
|
832 |
-
|
833 |
link: https://huggingface.co/uklfr/gottbert-base
|
834 |
seq_len: 512
|
835 |
size: 127
|
@@ -838,7 +838,7 @@ model_meta:
|
|
838 |
is_proprietary: false
|
839 |
is_sentence_transformers_compatible: true
|
840 |
uses_instruct: false
|
841 |
-
|
842 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct
|
843 |
seq_len: 32768
|
844 |
size: 7099
|
@@ -847,7 +847,7 @@ model_meta:
|
|
847 |
is_proprietary: false
|
848 |
is_sentence_transformers_compatible: true
|
849 |
uses_instruct: true
|
850 |
-
|
851 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct
|
852 |
seq_len: 32768
|
853 |
size: 1780
|
@@ -856,7 +856,7 @@ model_meta:
|
|
856 |
is_proprietary: false
|
857 |
is_sentence_transformers_compatible: true
|
858 |
uses_instruct: true
|
859 |
-
|
860 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct
|
861 |
seq_len: 32768
|
862 |
size: 7613
|
@@ -865,7 +865,7 @@ model_meta:
|
|
865 |
is_proprietary: false
|
866 |
is_sentence_transformers_compatible: true
|
867 |
uses_instruct: true
|
868 |
-
|
869 |
link: https://huggingface.co/sentence-transformers/gtr-t5-base
|
870 |
seq_len: 512
|
871 |
size: 110
|
@@ -874,7 +874,7 @@ model_meta:
|
|
874 |
is_proprietary: false
|
875 |
is_sentence_transformers_compatible: true
|
876 |
uses_instruct: false
|
877 |
-
|
878 |
link: https://huggingface.co/sentence-transformers/gtr-t5-large
|
879 |
seq_len: 512
|
880 |
size: 168
|
@@ -883,7 +883,7 @@ model_meta:
|
|
883 |
is_proprietary: false
|
884 |
is_sentence_transformers_compatible: true
|
885 |
uses_instruct: false
|
886 |
-
|
887 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xl
|
888 |
seq_len: 512
|
889 |
size: 1240
|
@@ -892,7 +892,7 @@ model_meta:
|
|
892 |
is_proprietary: false
|
893 |
is_sentence_transformers_compatible: true
|
894 |
uses_instruct: false
|
895 |
-
|
896 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xxl
|
897 |
seq_len: 512
|
898 |
size: 4865
|
@@ -901,7 +901,7 @@ model_meta:
|
|
901 |
is_proprietary: false
|
902 |
is_sentence_transformers_compatible: true
|
903 |
uses_instruct: false
|
904 |
-
|
905 |
link: https://huggingface.co/ipipan/herbert-base-retrieval-v2
|
906 |
seq_len: 514
|
907 |
size: 125
|
@@ -910,7 +910,7 @@ model_meta:
|
|
910 |
is_proprietary: false
|
911 |
is_sentence_transformers_compatible: true
|
912 |
uses_instruct: false
|
913 |
-
|
914 |
link: https://huggingface.co/hkunlp/instructor-base
|
915 |
seq_len: N/A
|
916 |
size: 110
|
@@ -919,7 +919,7 @@ model_meta:
|
|
919 |
is_proprietary: false
|
920 |
is_sentence_transformers_compatible: true
|
921 |
uses_instruct: true
|
922 |
-
|
923 |
link: https://huggingface.co/hkunlp/instructor-large
|
924 |
seq_len: 512
|
925 |
size: 335
|
@@ -928,7 +928,7 @@ model_meta:
|
|
928 |
is_proprietary: false
|
929 |
is_sentence_transformers_compatible: true
|
930 |
uses_instruct: true
|
931 |
-
|
932 |
link: https://huggingface.co/hkunlp/instructor-xl
|
933 |
seq_len: 512
|
934 |
size: 1241
|
@@ -937,16 +937,16 @@ model_meta:
|
|
937 |
is_proprietary: false
|
938 |
is_sentence_transformers_compatible: true
|
939 |
uses_instruct: true
|
940 |
-
|
941 |
link: https://huggingface.co/jinaai/jina-embeddings-v2-base-en
|
942 |
seq_len: 8192
|
943 |
size: 275
|
944 |
dim: 768
|
945 |
is_external: true
|
946 |
is_proprietary: false
|
947 |
-
is_sentence_transformers_compatible: true
|
948 |
uses_instruct: false
|
949 |
-
|
950 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_komninos
|
951 |
seq_len: N/A
|
952 |
size: 134
|
@@ -955,7 +955,7 @@ model_meta:
|
|
955 |
is_proprietary: false
|
956 |
is_sentence_transformers_compatible: true
|
957 |
uses_instruct: false
|
958 |
-
|
959 |
link: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf
|
960 |
seq_len: 4096
|
961 |
size: 7000
|
@@ -964,7 +964,7 @@ model_meta:
|
|
964 |
is_proprietary: false
|
965 |
is_sentence_transformers_compatible: false
|
966 |
uses_instruct: true
|
967 |
-
|
968 |
link: https://huggingface.co/silk-road/luotuo-bert-medium
|
969 |
seq_len: 512
|
970 |
size: 328
|
@@ -973,7 +973,7 @@ model_meta:
|
|
973 |
is_proprietary: false
|
974 |
is_sentence_transformers_compatible: true
|
975 |
uses_instruct: false
|
976 |
-
|
977 |
link: https://huggingface.co/moka-ai/m3e-base
|
978 |
seq_len: 512
|
979 |
size: 102
|
@@ -982,7 +982,7 @@ model_meta:
|
|
982 |
is_proprietary: false
|
983 |
is_sentence_transformers_compatible: true
|
984 |
uses_instruct: false
|
985 |
-
|
986 |
link: https://huggingface.co/moka-ai/m3e-large
|
987 |
seq_len: 512
|
988 |
size: 102
|
@@ -991,7 +991,7 @@ model_meta:
|
|
991 |
is_proprietary: false
|
992 |
is_sentence_transformers_compatible: true
|
993 |
uses_instruct: false
|
994 |
-
|
995 |
link: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
|
996 |
seq_len: 4096
|
997 |
size: 7240
|
@@ -1000,7 +1000,7 @@ model_meta:
|
|
1000 |
is_proprietary: false
|
1001 |
is_sentence_transformers_compatible: false
|
1002 |
uses_instruct: true
|
1003 |
-
|
1004 |
link: https://docs.mistral.ai/guides/embeddings
|
1005 |
seq_len: null
|
1006 |
size: null
|
@@ -1009,7 +1009,7 @@ model_meta:
|
|
1009 |
is_proprietary: true
|
1010 |
is_sentence_transformers_compatible: false
|
1011 |
uses_instruct: false
|
1012 |
-
|
1013 |
link: https://huggingface.co/castorini/monobert-large-msmarco
|
1014 |
seq_len: 512
|
1015 |
size: 770
|
@@ -1018,7 +1018,7 @@ model_meta:
|
|
1018 |
is_proprietary: false
|
1019 |
is_sentence_transformers_compatible: false
|
1020 |
uses_instruct: false
|
1021 |
-
|
1022 |
link: https://huggingface.co/castorini/monot5-3b-msmarco-10k
|
1023 |
seq_len: 512
|
1024 |
size: 2480
|
@@ -1027,7 +1027,7 @@ model_meta:
|
|
1027 |
is_proprietary: false
|
1028 |
is_sentence_transformers_compatible: false
|
1029 |
uses_instruct: true
|
1030 |
-
|
1031 |
link: https://huggingface.co/castorini/monot5-base-msmarco-10k
|
1032 |
seq_len: 512
|
1033 |
size: 220
|
@@ -1036,7 +1036,7 @@ model_meta:
|
|
1036 |
is_proprietary: false
|
1037 |
is_sentence_transformers_compatible: false
|
1038 |
uses_instruct: true
|
1039 |
-
|
1040 |
link: https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor
|
1041 |
seq_len: 512
|
1042 |
size: 110
|
@@ -1045,7 +1045,7 @@ model_meta:
|
|
1045 |
is_proprietary: false
|
1046 |
is_sentence_transformers_compatible: true
|
1047 |
uses_instruct: false
|
1048 |
-
|
1049 |
link: https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1
|
1050 |
seq_len: 512
|
1051 |
size: 23
|
@@ -1054,7 +1054,7 @@ model_meta:
|
|
1054 |
is_proprietary: false
|
1055 |
is_sentence_transformers_compatible: true
|
1056 |
uses_instruct: false
|
1057 |
-
|
1058 |
link: https://huggingface.co/intfloat/multilingual-e5-base
|
1059 |
seq_len: 514
|
1060 |
size: 278
|
@@ -1063,7 +1063,7 @@ model_meta:
|
|
1063 |
is_proprietary: false
|
1064 |
is_sentence_transformers_compatible: true
|
1065 |
uses_instruct: false
|
1066 |
-
|
1067 |
link: https://huggingface.co/intfloat/multilingual-e5-large
|
1068 |
seq_len: 514
|
1069 |
size: 560
|
@@ -1072,7 +1072,7 @@ model_meta:
|
|
1072 |
is_proprietary: false
|
1073 |
is_sentence_transformers_compatible: true
|
1074 |
uses_instruct: false
|
1075 |
-
|
1076 |
link: https://huggingface.co/intfloat/multilingual-e5-large-instruct
|
1077 |
seq_len: 514
|
1078 |
size: 560
|
@@ -1081,7 +1081,7 @@ model_meta:
|
|
1081 |
is_proprietary: false
|
1082 |
is_sentence_transformers_compatible: true
|
1083 |
uses_instruct: true
|
1084 |
-
|
1085 |
link: https://huggingface.co/intfloat/multilingual-e5-small
|
1086 |
seq_len: 512
|
1087 |
size: 118
|
@@ -1090,7 +1090,7 @@ model_meta:
|
|
1090 |
is_proprietary: false
|
1091 |
is_sentence_transformers_compatible: true
|
1092 |
uses_instruct: false
|
1093 |
-
|
1094 |
link: https://huggingface.co/NbAiLab/nb-bert-base
|
1095 |
seq_len: 512
|
1096 |
size: 179
|
@@ -1099,7 +1099,7 @@ model_meta:
|
|
1099 |
is_proprietary: false
|
1100 |
is_sentence_transformers_compatible: true
|
1101 |
uses_instruct: false
|
1102 |
-
|
1103 |
link: https://huggingface.co/NbAiLab/nb-bert-large
|
1104 |
seq_len: 512
|
1105 |
size: 355
|
@@ -1108,7 +1108,7 @@ model_meta:
|
|
1108 |
is_proprietary: false
|
1109 |
is_sentence_transformers_compatible: true
|
1110 |
uses_instruct: false
|
1111 |
-
nomic-embed-text-v1:
|
1112 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1
|
1113 |
seq_len: 8192
|
1114 |
size: 547
|
@@ -1117,7 +1117,7 @@ model_meta:
|
|
1117 |
is_proprietary: false
|
1118 |
is_sentence_transformers_compatible: true
|
1119 |
uses_instruct: false
|
1120 |
-
nomic-embed-text-v1.5-128:
|
1121 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1122 |
seq_len: 8192
|
1123 |
size: 138
|
@@ -1126,7 +1126,7 @@ model_meta:
|
|
1126 |
is_proprietary: false
|
1127 |
is_sentence_transformers_compatible: true
|
1128 |
uses_instruct: false
|
1129 |
-
nomic-embed-text-v1.5-256:
|
1130 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1131 |
seq_len: 8192
|
1132 |
size: 138
|
@@ -1135,7 +1135,7 @@ model_meta:
|
|
1135 |
is_proprietary: false
|
1136 |
is_sentence_transformers_compatible: true
|
1137 |
uses_instruct: false
|
1138 |
-
nomic-embed-text-v1.5-512:
|
1139 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1140 |
seq_len: 8192
|
1141 |
size: 138
|
@@ -1144,7 +1144,7 @@ model_meta:
|
|
1144 |
is_proprietary: false
|
1145 |
is_sentence_transformers_compatible: true
|
1146 |
uses_instruct: false
|
1147 |
-
nomic-embed-text-v1.5-64:
|
1148 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1149 |
seq_len: 8192
|
1150 |
size: 138
|
@@ -1153,7 +1153,7 @@ model_meta:
|
|
1153 |
is_proprietary: false
|
1154 |
is_sentence_transformers_compatible: true
|
1155 |
uses_instruct: false
|
1156 |
-
|
1157 |
link: https://huggingface.co/ltg/norbert3-base
|
1158 |
seq_len: 512
|
1159 |
size: 131
|
@@ -1162,7 +1162,7 @@ model_meta:
|
|
1162 |
is_proprietary: false
|
1163 |
is_sentence_transformers_compatible: true
|
1164 |
uses_instruct: false
|
1165 |
-
|
1166 |
link: https://huggingface.co/ltg/norbert3-large
|
1167 |
seq_len: 512
|
1168 |
size: 368
|
@@ -1171,7 +1171,7 @@ model_meta:
|
|
1171 |
is_proprietary: false
|
1172 |
is_sentence_transformers_compatible: true
|
1173 |
uses_instruct: false
|
1174 |
-
|
1175 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
1176 |
seq_len: 512
|
1177 |
size: 118
|
@@ -1180,7 +1180,7 @@ model_meta:
|
|
1180 |
is_proprietary: false
|
1181 |
is_sentence_transformers_compatible: true
|
1182 |
uses_instruct: false
|
1183 |
-
|
1184 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
|
1185 |
seq_len: 514
|
1186 |
size: 278
|
@@ -1189,7 +1189,7 @@ model_meta:
|
|
1189 |
is_proprietary: false
|
1190 |
is_sentence_transformers_compatible: true
|
1191 |
uses_instruct: false
|
1192 |
-
|
1193 |
link: https://huggingface.co/KBLab/sentence-bert-swedish-cased
|
1194 |
seq_len: 512
|
1195 |
size: 125
|
@@ -1198,7 +1198,7 @@ model_meta:
|
|
1198 |
is_proprietary: false
|
1199 |
is_sentence_transformers_compatible: true
|
1200 |
uses_instruct: false
|
1201 |
-
|
1202 |
link: https://huggingface.co/dangvantuan/sentence-camembert-base
|
1203 |
seq_len: 512
|
1204 |
size: 110
|
@@ -1207,7 +1207,7 @@ model_meta:
|
|
1207 |
is_proprietary: false
|
1208 |
is_sentence_transformers_compatible: true
|
1209 |
uses_instruct: false
|
1210 |
-
|
1211 |
link: https://huggingface.co/dangvantuan/sentence-camembert-large
|
1212 |
seq_len: 512
|
1213 |
size: 337
|
@@ -1216,7 +1216,7 @@ model_meta:
|
|
1216 |
is_proprietary: false
|
1217 |
is_sentence_transformers_compatible: true
|
1218 |
uses_instruct: false
|
1219 |
-
|
1220 |
link: https://huggingface.co/Wissam42/sentence-croissant-llm-base
|
1221 |
seq_len: 2048
|
1222 |
size: 1280
|
@@ -1225,7 +1225,7 @@ model_meta:
|
|
1225 |
is_proprietary: false
|
1226 |
is_sentence_transformers_compatible: true
|
1227 |
uses_instruct: false
|
1228 |
-
sentence-t5-base:
|
1229 |
link: https://huggingface.co/sentence-transformers/sentence-t5-base
|
1230 |
seq_len: 512
|
1231 |
size: 110
|
@@ -1234,7 +1234,7 @@ model_meta:
|
|
1234 |
is_proprietary: false
|
1235 |
is_sentence_transformers_compatible: true
|
1236 |
uses_instruct: false
|
1237 |
-
sentence-t5-large:
|
1238 |
link: https://huggingface.co/sentence-transformers/sentence-t5-large
|
1239 |
seq_len: 512
|
1240 |
size: 168
|
@@ -1243,7 +1243,7 @@ model_meta:
|
|
1243 |
is_proprietary: false
|
1244 |
is_sentence_transformers_compatible: true
|
1245 |
uses_instruct: false
|
1246 |
-
sentence-t5-xl:
|
1247 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xl
|
1248 |
seq_len: 512
|
1249 |
size: 1240
|
@@ -1252,7 +1252,7 @@ model_meta:
|
|
1252 |
is_proprietary: false
|
1253 |
is_sentence_transformers_compatible: true
|
1254 |
uses_instruct: false
|
1255 |
-
sentence-t5-xxl:
|
1256 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xxl
|
1257 |
seq_len: 512
|
1258 |
size: 4865
|
@@ -1261,7 +1261,7 @@ model_meta:
|
|
1261 |
is_proprietary: false
|
1262 |
is_sentence_transformers_compatible: true
|
1263 |
uses_instruct: false
|
1264 |
-
|
1265 |
link: https://huggingface.co/ipipan/silver-retriever-base-v1
|
1266 |
seq_len: 514
|
1267 |
size: 125
|
@@ -1270,7 +1270,7 @@ model_meta:
|
|
1270 |
is_proprietary: false
|
1271 |
is_sentence_transformers_compatible: true
|
1272 |
uses_instruct: false
|
1273 |
-
|
1274 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta
|
1275 |
seq_len: 514
|
1276 |
size: 125
|
@@ -1279,7 +1279,7 @@ model_meta:
|
|
1279 |
is_proprietary: false
|
1280 |
is_sentence_transformers_compatible: true
|
1281 |
uses_instruct: false
|
1282 |
-
|
1283 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet
|
1284 |
seq_len: 514
|
1285 |
size: 125
|
@@ -1306,7 +1306,7 @@ model_meta:
|
|
1306 |
is_proprietary: false
|
1307 |
is_sentence_transformers_compatible: true
|
1308 |
uses_instruct: true
|
1309 |
-
|
1310 |
link: https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased
|
1311 |
seq_len: 512
|
1312 |
size: 110
|
@@ -1315,7 +1315,7 @@ model_meta:
|
|
1315 |
is_proprietary: false
|
1316 |
is_sentence_transformers_compatible: true
|
1317 |
uses_instruct: false
|
1318 |
-
|
1319 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1320 |
seq_len: 8191
|
1321 |
size: null
|
@@ -1324,7 +1324,7 @@ model_meta:
|
|
1324 |
is_proprietary: true
|
1325 |
is_sentence_transformers_compatible: false
|
1326 |
uses_instruct: false
|
1327 |
-
|
1328 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1329 |
seq_len: 8191
|
1330 |
size: null
|
@@ -1332,8 +1332,8 @@ model_meta:
|
|
1332 |
is_external: true
|
1333 |
is_proprietary: true
|
1334 |
is_sentence_transformers_compatible: false
|
1335 |
-
uses_instruct: true
|
1336 |
-
|
1337 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1338 |
seq_len: 8191
|
1339 |
size: null
|
@@ -1342,7 +1342,7 @@ model_meta:
|
|
1342 |
is_proprietary: true
|
1343 |
is_sentence_transformers_compatible: false
|
1344 |
uses_instruct: false
|
1345 |
-
|
1346 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1347 |
seq_len: 8191
|
1348 |
size: null
|
@@ -1351,7 +1351,7 @@ model_meta:
|
|
1351 |
is_proprietary: true
|
1352 |
is_sentence_transformers_compatible: false
|
1353 |
uses_instruct: false
|
1354 |
-
|
1355 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1356 |
seq_len: 8191
|
1357 |
size: null
|
@@ -1359,8 +1359,8 @@ model_meta:
|
|
1359 |
is_external: true
|
1360 |
is_proprietary: true
|
1361 |
is_sentence_transformers_compatible: false
|
1362 |
-
uses_instruct: true
|
1363 |
-
|
1364 |
link: https://openai.com/blog/new-and-improved-embedding-model
|
1365 |
seq_len: 8191
|
1366 |
size: null
|
@@ -1369,7 +1369,7 @@ model_meta:
|
|
1369 |
is_proprietary: true
|
1370 |
is_sentence_transformers_compatible: false
|
1371 |
uses_instruct: false
|
1372 |
-
|
1373 |
link: https://openai.com/blog/new-and-improved-embedding-model
|
1374 |
seq_len: 8191
|
1375 |
size: null
|
@@ -1377,8 +1377,8 @@ model_meta:
|
|
1377 |
is_external: true
|
1378 |
is_proprietary: true
|
1379 |
is_sentence_transformers_compatible: false
|
1380 |
-
uses_instruct: true
|
1381 |
-
|
1382 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1383 |
seq_len: 2046
|
1384 |
size: null
|
@@ -1387,7 +1387,7 @@ model_meta:
|
|
1387 |
is_proprietary: true
|
1388 |
is_sentence_transformers_compatible: false
|
1389 |
uses_instruct: false
|
1390 |
-
|
1391 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1392 |
seq_len: 2046
|
1393 |
size: null
|
@@ -1405,7 +1405,7 @@ model_meta:
|
|
1405 |
is_proprietary: true
|
1406 |
is_sentence_transformers_compatible: false
|
1407 |
uses_instruct: false
|
1408 |
-
|
1409 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1410 |
seq_len: 2046
|
1411 |
size: null
|
@@ -1414,7 +1414,7 @@ model_meta:
|
|
1414 |
is_proprietary: true
|
1415 |
is_sentence_transformers_compatible: false
|
1416 |
uses_instruct: false
|
1417 |
-
|
1418 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1419 |
seq_len: 2046
|
1420 |
size: null
|
@@ -1423,7 +1423,7 @@ model_meta:
|
|
1423 |
is_proprietary: true
|
1424 |
is_sentence_transformers_compatible: false
|
1425 |
uses_instruct: false
|
1426 |
-
|
1427 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1428 |
seq_len: 2046
|
1429 |
size: null
|
@@ -1432,7 +1432,7 @@ model_meta:
|
|
1432 |
is_proprietary: true
|
1433 |
is_sentence_transformers_compatible: false
|
1434 |
uses_instruct: false
|
1435 |
-
|
1436 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1437 |
seq_len: 2046
|
1438 |
size: null
|
@@ -1441,7 +1441,7 @@ model_meta:
|
|
1441 |
is_proprietary: true
|
1442 |
is_sentence_transformers_compatible: false
|
1443 |
uses_instruct: false
|
1444 |
-
|
1445 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1446 |
seq_len: 2046
|
1447 |
size: null
|
@@ -1450,7 +1450,7 @@ model_meta:
|
|
1450 |
is_proprietary: true
|
1451 |
is_sentence_transformers_compatible: false
|
1452 |
uses_instruct: false
|
1453 |
-
|
1454 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1455 |
seq_len: 2046
|
1456 |
size: null
|
@@ -1459,7 +1459,7 @@ model_meta:
|
|
1459 |
is_proprietary: true
|
1460 |
is_sentence_transformers_compatible: false
|
1461 |
uses_instruct: false
|
1462 |
-
|
1463 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1464 |
seq_len: 2046
|
1465 |
size: null
|
@@ -1468,7 +1468,7 @@ model_meta:
|
|
1468 |
is_proprietary: true
|
1469 |
is_sentence_transformers_compatible: false
|
1470 |
uses_instruct: false
|
1471 |
-
|
1472 |
link: https://huggingface.co/orionweller/tart-dual-contriever-msmarco
|
1473 |
seq_len: 512
|
1474 |
size: 110
|
@@ -1477,7 +1477,7 @@ model_meta:
|
|
1477 |
is_proprietary: false
|
1478 |
is_sentence_transformers_compatible: false
|
1479 |
uses_instruct: true
|
1480 |
-
|
1481 |
link: https://huggingface.co/facebook/tart-full-flan-t5-xl
|
1482 |
seq_len: 512
|
1483 |
size: 2480
|
@@ -1486,7 +1486,7 @@ model_meta:
|
|
1486 |
is_proprietary: false
|
1487 |
is_sentence_transformers_compatible: false
|
1488 |
uses_instruct: true
|
1489 |
-
|
1490 |
link: https://huggingface.co/shibing624/text2vec-base-chinese
|
1491 |
seq_len: 512
|
1492 |
size: 102
|
@@ -1495,16 +1495,16 @@ model_meta:
|
|
1495 |
is_proprietary: false
|
1496 |
is_sentence_transformers_compatible: true
|
1497 |
uses_instruct: false
|
1498 |
-
|
1499 |
-
link:
|
1500 |
-
seq_len:
|
1501 |
-
size:
|
1502 |
-
dim:
|
1503 |
is_external: true
|
1504 |
is_proprietary: false
|
1505 |
is_sentence_transformers_compatible: false
|
1506 |
uses_instruct: false
|
1507 |
-
|
1508 |
link: https://huggingface.co/GanymedeNil/text2vec-large-chinese
|
1509 |
seq_len: 512
|
1510 |
size: 326
|
@@ -1513,7 +1513,7 @@ model_meta:
|
|
1513 |
is_proprietary: false
|
1514 |
is_sentence_transformers_compatible: true
|
1515 |
uses_instruct: false
|
1516 |
-
|
1517 |
link: https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html
|
1518 |
seq_len: 8000
|
1519 |
size: null
|
@@ -1522,7 +1522,7 @@ model_meta:
|
|
1522 |
is_proprietary: true
|
1523 |
is_sentence_transformers_compatible: false
|
1524 |
uses_instruct: false
|
1525 |
-
|
1526 |
link: https://huggingface.co/izhx/udever-bloom-1b1
|
1527 |
seq_len: 2048
|
1528 |
size: null
|
@@ -1531,7 +1531,7 @@ model_meta:
|
|
1531 |
is_proprietary: false
|
1532 |
is_sentence_transformers_compatible: true
|
1533 |
uses_instruct: false
|
1534 |
-
|
1535 |
link: https://huggingface.co/izhx/udever-bloom-560m
|
1536 |
seq_len: 2048
|
1537 |
size: null
|
@@ -1540,7 +1540,7 @@ model_meta:
|
|
1540 |
is_proprietary: false
|
1541 |
is_sentence_transformers_compatible: true
|
1542 |
uses_instruct: false
|
1543 |
-
|
1544 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-3
|
1545 |
seq_len: 512
|
1546 |
size: null
|
@@ -1549,7 +1549,7 @@ model_meta:
|
|
1549 |
is_proprietary: false
|
1550 |
is_sentence_transformers_compatible: true
|
1551 |
uses_instruct: false
|
1552 |
-
|
1553 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-large-3
|
1554 |
seq_len: 512
|
1555 |
size: null
|
@@ -1558,7 +1558,7 @@ model_meta:
|
|
1558 |
is_proprietary: false
|
1559 |
is_sentence_transformers_compatible: true
|
1560 |
uses_instruct: false
|
1561 |
-
|
1562 |
link: https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased
|
1563 |
seq_len: 512
|
1564 |
size: 110
|
@@ -1567,7 +1567,7 @@ model_meta:
|
|
1567 |
is_proprietary: false
|
1568 |
is_sentence_transformers_compatible: true
|
1569 |
uses_instruct: false
|
1570 |
-
|
1571 |
link: https://huggingface.co/sentence-transformers/use-cmlm-multilingual
|
1572 |
seq_len: 512
|
1573 |
size: 472
|
@@ -1575,8 +1575,8 @@ model_meta:
|
|
1575 |
is_external: true
|
1576 |
is_proprietary: false
|
1577 |
is_sentence_transformers_compatible: true
|
1578 |
-
uses_instruct: false
|
1579 |
-
|
1580 |
link: https://docs.voyageai.com/embeddings/
|
1581 |
seq_len: 1024
|
1582 |
size: null
|
@@ -1584,8 +1584,8 @@ model_meta:
|
|
1584 |
is_external: true
|
1585 |
is_proprietary: true
|
1586 |
is_sentence_transformers_compatible: false
|
1587 |
-
uses_instruct: false
|
1588 |
-
|
1589 |
link: https://docs.voyageai.com/embeddings/
|
1590 |
seq_len: 16000
|
1591 |
size: null
|
@@ -1593,8 +1593,8 @@ model_meta:
|
|
1593 |
is_external: true
|
1594 |
is_proprietary: true
|
1595 |
is_sentence_transformers_compatible: false
|
1596 |
-
uses_instruct: false
|
1597 |
-
|
1598 |
link: https://docs.voyageai.com/embeddings/
|
1599 |
seq_len: 16000
|
1600 |
size: null
|
@@ -1602,8 +1602,8 @@ model_meta:
|
|
1602 |
is_external: true
|
1603 |
is_proprietary: false
|
1604 |
is_sentence_transformers_compatible: false
|
1605 |
-
uses_instruct: true
|
1606 |
-
|
1607 |
link: https://docs.voyageai.com/embeddings/
|
1608 |
seq_len: 16000
|
1609 |
size: null
|
@@ -1611,8 +1611,8 @@ model_meta:
|
|
1611 |
is_external: true
|
1612 |
is_proprietary: true
|
1613 |
is_sentence_transformers_compatible: false
|
1614 |
-
uses_instruct: false
|
1615 |
-
|
1616 |
link: https://docs.voyageai.com/embeddings/
|
1617 |
seq_len: 4000
|
1618 |
size: null
|
@@ -1620,8 +1620,8 @@ model_meta:
|
|
1620 |
is_external: true
|
1621 |
is_proprietary: true
|
1622 |
is_sentence_transformers_compatible: false
|
1623 |
-
uses_instruct: true
|
1624 |
-
|
1625 |
link: https://docs.voyageai.com/embeddings/
|
1626 |
seq_len: 4000
|
1627 |
size: 1220
|
@@ -1629,8 +1629,8 @@ model_meta:
|
|
1629 |
is_external: true
|
1630 |
is_proprietary: true
|
1631 |
is_sentence_transformers_compatible: false
|
1632 |
-
uses_instruct: true
|
1633 |
-
|
1634 |
link: https://docs.voyageai.com/embeddings/
|
1635 |
seq_len: 32000
|
1636 |
size: null
|
@@ -1638,18 +1638,18 @@ model_meta:
|
|
1638 |
is_external: true
|
1639 |
is_proprietary: true
|
1640 |
is_sentence_transformers_compatible: false
|
1641 |
-
uses_instruct: false
|
1642 |
-
|
1643 |
-
link: https://huggingface.co/xlm-roberta-base
|
1644 |
seq_len: 514
|
1645 |
size: 279
|
1646 |
dim: 768
|
1647 |
is_external: true
|
1648 |
is_proprietary: false
|
1649 |
is_sentence_transformers_compatible: true
|
1650 |
-
uses_instruct: false
|
1651 |
-
|
1652 |
-
link: https://huggingface.co/xlm-roberta-large
|
1653 |
seq_len: 514
|
1654 |
size: 560
|
1655 |
dim: 1024
|
@@ -1657,7 +1657,7 @@ model_meta:
|
|
1657 |
is_proprietary: false
|
1658 |
is_sentence_transformers_compatible: true
|
1659 |
uses_instruct: false
|
1660 |
-
|
1661 |
link: https://huggingface.co/cointegrated/rubert-tiny
|
1662 |
seq_len: 514
|
1663 |
size: 12
|
@@ -1666,7 +1666,7 @@ model_meta:
|
|
1666 |
is_proprietary: false
|
1667 |
is_sentence_transformers_compatible: true
|
1668 |
uses_instruct: false
|
1669 |
-
|
1670 |
link: https://huggingface.co/cointegrated/rubert-tiny2
|
1671 |
seq_len: 514
|
1672 |
size: 29
|
@@ -1675,7 +1675,7 @@ model_meta:
|
|
1675 |
is_proprietary: false
|
1676 |
is_sentence_transformers_compatible: true
|
1677 |
uses_instruct: false
|
1678 |
-
|
1679 |
link: https://huggingface.co/ai-forever/sbert_large_mt_nlu_ru
|
1680 |
seq_len: 514
|
1681 |
size: 427
|
@@ -1684,7 +1684,7 @@ model_meta:
|
|
1684 |
is_proprietary: false
|
1685 |
is_sentence_transformers_compatible: true
|
1686 |
uses_instruct: false
|
1687 |
-
|
1688 |
link: https://huggingface.co/ai-forever/sbert_large_nlu_ru
|
1689 |
seq_len: 512
|
1690 |
size: 427
|
@@ -1693,7 +1693,7 @@ model_meta:
|
|
1693 |
is_proprietary: false
|
1694 |
is_sentence_transformers_compatible: true
|
1695 |
uses_instruct: false
|
1696 |
-
|
1697 |
link: https://huggingface.co/deepvk/USER-base
|
1698 |
seq_len: 512
|
1699 |
size: 124
|
@@ -1702,7 +1702,7 @@ model_meta:
|
|
1702 |
is_proprietary: false
|
1703 |
is_sentence_transformers_compatible: true
|
1704 |
uses_instruct: false
|
1705 |
-
|
1706 |
link: https://huggingface.co/deepvk/USER-bge-m3
|
1707 |
seq_len: 8192
|
1708 |
size: 359
|
@@ -1711,7 +1711,7 @@ model_meta:
|
|
1711 |
is_proprietary: false
|
1712 |
is_sentence_transformers_compatible: true
|
1713 |
uses_instruct: false
|
1714 |
-
|
1715 |
link: https://huggingface.co/deepvk/deberta-v1-base
|
1716 |
seq_len: 512
|
1717 |
size: 124
|
@@ -1720,7 +1720,7 @@ model_meta:
|
|
1720 |
is_proprietary: false
|
1721 |
is_sentence_transformers_compatible: true
|
1722 |
uses_instruct: false
|
1723 |
-
|
1724 |
link: https://huggingface.co/sergeyzh/rubert-tiny-turbo
|
1725 |
seq_len: 2048
|
1726 |
size: 29
|
@@ -1729,7 +1729,7 @@ model_meta:
|
|
1729 |
is_proprietary: false
|
1730 |
is_sentence_transformers_compatible: true
|
1731 |
uses_instruct: false
|
1732 |
-
|
1733 |
link: https://huggingface.co/sergeyzh/LaBSE-ru-turbo
|
1734 |
seq_len: 512
|
1735 |
size: 128
|
@@ -1738,7 +1738,7 @@ model_meta:
|
|
1738 |
is_proprietary: false
|
1739 |
is_sentence_transformers_compatible: true
|
1740 |
uses_instruct: false
|
1741 |
-
|
1742 |
link: https://huggingface.co/DeepPavlov/distilrubert-small-cased-conversational
|
1743 |
seq_len: 512
|
1744 |
size: 106
|
@@ -1747,7 +1747,7 @@ model_meta:
|
|
1747 |
is_proprietary: false
|
1748 |
is_sentence_transformers_compatible: true
|
1749 |
uses_instruct: false
|
1750 |
-
|
1751 |
link: https://huggingface.co/DeepPavlov/rubert-base-cased
|
1752 |
seq_len: 512
|
1753 |
size: 180
|
@@ -1756,7 +1756,7 @@ model_meta:
|
|
1756 |
is_proprietary: false
|
1757 |
is_sentence_transformers_compatible: true
|
1758 |
uses_instruct: false
|
1759 |
-
|
1760 |
link: https://huggingface.co/DeepPavlov/rubert-base-cased-sentence
|
1761 |
seq_len: 512
|
1762 |
size: 180
|
@@ -1765,7 +1765,7 @@ model_meta:
|
|
1765 |
is_proprietary: false
|
1766 |
is_sentence_transformers_compatible: true
|
1767 |
uses_instruct: false
|
1768 |
-
|
1769 |
link: https://huggingface.co/cointegrated/LaBSE-en-ru
|
1770 |
seq_len: 512
|
1771 |
size: 129
|
|
|
1 |
model_meta:
|
2 |
+
baichuan-ai__text-embedding:
|
3 |
link: https://platform.baichuan-ai.com/docs/text-Embedding
|
4 |
seq_len: 512
|
5 |
size: null
|
|
|
8 |
is_proprietary: true
|
9 |
is_sentence_transformers_compatible: false
|
10 |
uses_instruct: false
|
11 |
+
Cohere__Cohere-embed-english-v3.0:
|
12 |
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
13 |
seq_len: 512
|
14 |
size: null
|
|
|
17 |
is_proprietary: true
|
18 |
is_sentence_transformers_compatible: false
|
19 |
uses_instruct: false
|
20 |
+
Cohere__Cohere-embed-english-v3.0-instruct:
|
21 |
link: https://huggingface.co/Cohere/Cohere-embed-english-v3.0
|
22 |
seq_len: 512
|
23 |
size: null
|
|
|
26 |
is_proprietary: true
|
27 |
is_sentence_transformers_compatible: false
|
28 |
uses_instruct: true
|
29 |
+
Cohere__Cohere-embed-multilingual-light-v3.0:
|
30 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-light-v3.0
|
31 |
seq_len: 512
|
32 |
size: null
|
|
|
35 |
is_proprietary: true
|
36 |
is_sentence_transformers_compatible: false
|
37 |
uses_instruct: false
|
38 |
+
Cohere__Cohere-embed-multilingual-v3.0:
|
39 |
link: https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0
|
40 |
seq_len: 512
|
41 |
size: null
|
|
|
44 |
is_proprietary: true
|
45 |
is_sentence_transformers_compatible: false
|
46 |
uses_instruct: false
|
47 |
+
vesteinn__DanskBERT:
|
48 |
link: https://huggingface.co/vesteinn/DanskBERT
|
49 |
seq_len: 514
|
50 |
size: 125
|
|
|
53 |
is_proprietary: false
|
54 |
is_sentence_transformers_compatible: true
|
55 |
uses_instruct: false
|
56 |
+
jhu-clsp__FollowIR-7B:
|
57 |
link: https://huggingface.co/jhu-clsp/FollowIR-7B
|
58 |
seq_len: 4096
|
59 |
size: 7240
|
|
|
61 |
is_propietary: false
|
62 |
is_sentence_transformer_compatible: false
|
63 |
uses_instruct: true
|
64 |
+
GritLM__GritLM-7B:
|
65 |
link: https://huggingface.co/GritLM/GritLM-7B
|
66 |
seq_len: 4096
|
67 |
size: 7240
|
|
|
69 |
is_propietary: false
|
70 |
is_sentence_transformer_compatible: false
|
71 |
uses_instruct: true
|
72 |
+
GritLM__GritLM-7B-noinstruct:
|
73 |
link: https://huggingface.co/GritLM/GritLM-7B
|
74 |
seq_len: 4096
|
75 |
size: 7240
|
|
|
77 |
is_propietary: false
|
78 |
is_sentence_transformer_compatible: false
|
79 |
uses_instruct: false
|
80 |
+
facebookresearch__LASER2:
|
81 |
link: https://github.com/facebookresearch/LASER
|
82 |
seq_len: N/A
|
83 |
size: 43
|
|
|
86 |
is_proprietary: false
|
87 |
is_sentence_transformers_compatible: false
|
88 |
uses_instruct: false
|
89 |
+
McGill-NLP__LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised:
|
90 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised
|
91 |
seq_len: 4096
|
92 |
size: 6607
|
|
|
95 |
is_proprietary: false
|
96 |
is_sentence_transformers_compatible: false
|
97 |
uses_instruct: true
|
98 |
+
McGill-NLP__LLM2Vec-Llama-2-unsupervised:
|
99 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse
|
100 |
seq_len: 4096
|
101 |
size: 6607
|
|
|
104 |
is_proprietary: false
|
105 |
is_sentence_transformers_compatible: false
|
106 |
uses_instruct: true
|
107 |
+
McGill-NLP__LLM2Vec-Meta-Llama-3-supervised:
|
108 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
|
109 |
seq_len: 8192
|
110 |
size: 7505
|
|
|
113 |
is_proprietary: false
|
114 |
is_sentence_transformers_compatible: false
|
115 |
uses_instruct: true
|
116 |
+
McGill-NLP__LLM2Vec-Meta-Llama-3-unsupervised:
|
117 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse
|
118 |
seq_len: 8192
|
119 |
size: 7505
|
|
|
122 |
is_proprietary: false
|
123 |
is_sentence_transformers_compatible: false
|
124 |
uses_instruct: true
|
125 |
+
McGill-NLP__LLM2Vec-Mistral-supervised:
|
126 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
|
127 |
seq_len: 32768
|
128 |
size: 7111
|
|
|
131 |
is_proprietary: false
|
132 |
is_sentence_transformers_compatible: false
|
133 |
uses_instruct: true
|
134 |
+
McGill-NLP__LLM2Vec-Mistral-unsupervised:
|
135 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse
|
136 |
seq_len: 32768
|
137 |
size: 7111
|
|
|
140 |
is_proprietary: false
|
141 |
is_sentence_transformers_compatible: false
|
142 |
uses_instruct: true
|
143 |
+
McGill-NLP__LLM2Vec-Sheared-Llama-supervised:
|
144 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised
|
145 |
seq_len: 4096
|
146 |
size: 1280
|
|
|
149 |
is_proprietary: false
|
150 |
is_sentence_transformers_compatible: false
|
151 |
uses_instruct: true
|
152 |
+
McGill-NLP__LLM2Vec-Sheared-Llama-unsupervised:
|
153 |
link: https://huggingface.co/McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse
|
154 |
seq_len: 4096
|
155 |
size: 1280
|
|
|
158 |
is_proprietary: false
|
159 |
is_sentence_transformers_compatible: false
|
160 |
uses_instruct: true
|
161 |
+
sentence-transformers__LaBSE:
|
162 |
link: https://huggingface.co/sentence-transformers/LaBSE
|
163 |
seq_len: 512
|
164 |
size: 471
|
|
|
203 |
is_proprietary: false
|
204 |
is_sentence_transformers_compatible: false
|
205 |
uses_instruct: true
|
206 |
+
aliyun__OpenSearch-text-hybrid:
|
207 |
link: https://help.aliyun.com/zh/open-search/vector-search-edition/hybrid-retrieval
|
208 |
seq_len: 512
|
209 |
size: null
|
|
|
212 |
is_proprietary: true
|
213 |
is_sentence_transformers_compatible: false
|
214 |
uses_instruct: false
|
215 |
+
Salesforce__SFR-Embedding-Mistral:
|
216 |
link: https://huggingface.co/Salesforce/SFR-Embedding-Mistral
|
217 |
seq_len: 32768
|
218 |
size: 7111
|
|
|
230 |
is_proprietary: false
|
231 |
is_sentence_transformers_compatible: true
|
232 |
uses_instruct: true
|
233 |
+
sentence-transformers__all-MiniLM-L12-v2:
|
234 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2
|
235 |
seq_len: 512
|
236 |
size: 33
|
|
|
239 |
is_proprietary: false
|
240 |
is_sentence_transformers_compatible: true
|
241 |
uses_instruct: false
|
242 |
+
sentence-transformers__all-MiniLM-L6-v2:
|
243 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
244 |
seq_len: 512
|
245 |
size: 23
|
|
|
248 |
is_proprietary: false
|
249 |
is_sentence_transformers_compatible: true
|
250 |
uses_instruct: false
|
251 |
+
sentence-transformers__all-MiniLM-L6-v2-instruct:
|
252 |
link: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
|
253 |
seq_len: 512
|
254 |
size: 23
|
|
|
256 |
is_external: true
|
257 |
is_proprietary: false
|
258 |
is_sentence_transformers_compatible: true
|
259 |
+
uses_instruct: true
|
260 |
+
sentence-transformers__all-mpnet-base-v2:
|
261 |
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
262 |
seq_len: 514
|
263 |
size: 110
|
|
|
266 |
is_proprietary: false
|
267 |
is_sentence_transformers_compatible: true
|
268 |
uses_instruct: false
|
269 |
+
sentence-transformers__all-mpnet-base-v2-instruct:
|
270 |
link: https://huggingface.co/sentence-transformers/all-mpnet-base-v2
|
271 |
seq_len: 514
|
272 |
size: 110
|
|
|
274 |
is_external: true
|
275 |
is_proprietary: false
|
276 |
is_sentence_transformers_compatible: true
|
277 |
+
uses_instruct: true
|
278 |
+
sentence-transformers__allenai-specter:
|
279 |
link: https://huggingface.co/sentence-transformers/allenai-specter
|
280 |
seq_len: 512
|
281 |
size: 110
|
|
|
284 |
is_proprietary: false
|
285 |
is_sentence_transformers_compatible: true
|
286 |
uses_instruct: false
|
287 |
+
Geotrend__bert-base-10lang-cased:
|
288 |
link: https://huggingface.co/Geotrend/bert-base-10lang-cased
|
289 |
seq_len: 512
|
290 |
size: 138
|
|
|
293 |
is_proprietary: false
|
294 |
is_sentence_transformers_compatible: true
|
295 |
uses_instruct: false
|
296 |
+
Geotrend__bert-base-15lang-cased:
|
297 |
link: https://huggingface.co/Geotrend/bert-base-15lang-cased
|
298 |
seq_len: 512
|
299 |
size: 138
|
|
|
302 |
is_proprietary: false
|
303 |
is_sentence_transformers_compatible: true
|
304 |
uses_instruct: false
|
305 |
+
Geotrend__bert-base-25lang-cased:
|
306 |
link: https://huggingface.co/Geotrend/bert-base-25lang-cased
|
307 |
seq_len: 512
|
308 |
size: 138
|
|
|
311 |
is_proprietary: false
|
312 |
is_sentence_transformers_compatible: true
|
313 |
uses_instruct: false
|
314 |
+
google-bert__bert-base-multilingual-cased:
|
315 |
link: https://huggingface.co/google-bert/bert-base-multilingual-cased
|
316 |
seq_len: 512
|
317 |
size: 179
|
|
|
320 |
is_proprietary: false
|
321 |
is_sentence_transformers_compatible: true
|
322 |
uses_instruct: false
|
323 |
+
google-bert__bert-base-multilingual-uncased:
|
324 |
link: https://huggingface.co/google-bert/bert-base-multilingual-uncased
|
325 |
seq_len: 512
|
326 |
size: 168
|
|
|
329 |
is_proprietary: false
|
330 |
is_sentence_transformers_compatible: true
|
331 |
uses_instruct: false
|
332 |
+
KB__bert-base-swedish-cased:
|
333 |
link: https://huggingface.co/KB/bert-base-swedish-cased
|
334 |
seq_len: 512
|
335 |
size: 125
|
|
|
338 |
is_proprietary: false
|
339 |
is_sentence_transformers_compatible: true
|
340 |
uses_instruct: false
|
341 |
+
google-bert__bert-base-uncased:
|
342 |
+
link: https://huggingface.co/google-bert/bert-base-uncased
|
343 |
seq_len: 512
|
344 |
size: 110
|
345 |
dim: 768
|
|
|
347 |
is_proprietary: false
|
348 |
is_sentence_transformers_compatible: true
|
349 |
uses_instruct: false
|
350 |
+
BAAI__bge-base-en-v1.5:
|
351 |
link: https://huggingface.co/BAAI/bge-base-en-v1.5
|
352 |
seq_len: 512
|
353 |
size: 109
|
|
|
356 |
is_proprietary: false
|
357 |
is_sentence_transformers_compatible: false
|
358 |
uses_instruct: false
|
359 |
+
BAAI__bge-base-en-v1.5-instruct:
|
360 |
link: https://huggingface.co/BAAI/bge-base-en-v1.5
|
361 |
seq_len: 512
|
362 |
size: 109
|
|
|
364 |
is_external: true
|
365 |
is_proprietary: false
|
366 |
is_sentence_transformers_compatible: false
|
367 |
+
uses_instruct: true
|
368 |
+
BAAI__bge-base-zh-v1.5:
|
369 |
link: https://huggingface.co/BAAI/bge-base-zh-v1.5
|
370 |
seq_len: 512
|
371 |
size: 102
|
|
|
392 |
is_proprietary: false
|
393 |
is_sentence_transformers_compatible: false
|
394 |
uses_instruct: true
|
395 |
+
BAAI__bge-large-en-v1.5:
|
396 |
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
397 |
seq_len: 512
|
398 |
size: 1340
|
|
|
401 |
is_proprietary: false
|
402 |
is_sentence_transformers_compatible: false
|
403 |
uses_instruct: false
|
404 |
+
BAAI__bge-large-en-v1.5-instruct:
|
405 |
link: https://huggingface.co/BAAI/bge-large-en-v1.5
|
406 |
seq_len: 512
|
407 |
size: 1340
|
|
|
409 |
is_external: true
|
410 |
is_proprietary: false
|
411 |
is_sentence_transformers_compatible: false
|
412 |
+
uses_instruct: true
|
413 |
+
BAAI__bge-large-zh-noinstruct:
|
414 |
link: https://huggingface.co/BAAI/bge-large-zh-noinstruct
|
415 |
seq_len: 512
|
416 |
size: 326
|
|
|
419 |
is_proprietary: false
|
420 |
is_sentence_transformers_compatible: true
|
421 |
uses_instruct: false
|
422 |
+
BAAI__bge-large-zh-v1.5:
|
423 |
link: https://huggingface.co/BAAI/bge-large-zh-v1.5
|
424 |
seq_len: 512
|
425 |
size: 326
|
|
|
428 |
is_proprietary: false
|
429 |
is_sentence_transformers_compatible: true
|
430 |
uses_instruct: false
|
431 |
+
BAAI__bge-m3:
|
432 |
link: https://huggingface.co/BAAI/bge-m3
|
433 |
seq_len: 8192
|
434 |
size: 567
|
435 |
dim: 1024
|
436 |
is_external: true
|
437 |
is_proprietary: false
|
438 |
+
is_sentence_transformers_compatible: false
|
439 |
uses_instruct: false
|
440 |
+
BAAI__bge-m3-instruct:
|
441 |
link: https://huggingface.co/BAAI/bge-m3
|
442 |
seq_len: 8192
|
443 |
size: 567
|
444 |
dim: 1024
|
445 |
is_external: true
|
446 |
is_proprietary: false
|
447 |
+
is_sentence_transformers_compatible: false
|
448 |
+
uses_instruct: true
|
449 |
+
BAAI__bge-small-en-v1.5:
|
450 |
link: https://huggingface.co/BAAI/bge-small-en-v1.5
|
451 |
seq_len: 512
|
452 |
size: 24
|
|
|
455 |
is_proprietary: false
|
456 |
is_sentence_transformers_compatible: true
|
457 |
uses_instruct: false
|
458 |
+
BAAI__bge-small-en-v1.5-instruct:
|
459 |
link: https://huggingface.co/BAAI/bge-small-en-v1.5
|
460 |
seq_len: 512
|
461 |
size: 24
|
|
|
463 |
is_external: true
|
464 |
is_proprietary: false
|
465 |
is_sentence_transformers_compatible: true
|
466 |
+
uses_instruct: true
|
467 |
+
BAAI__bge-small-zh-v1.5:
|
468 |
link: https://huggingface.co/BAAI/bge-small-zh-v1.5
|
469 |
seq_len: 512
|
470 |
size: 24
|
|
|
486 |
is_external: true
|
487 |
is_proprietary: false
|
488 |
is_sentence_transformers_compatible: false
|
489 |
+
uses_instruct: false
|
490 |
+
almanach__camembert-base:
|
491 |
link: https://huggingface.co/almanach/camembert-base
|
492 |
seq_len: 512
|
493 |
size: 111
|
|
|
496 |
is_proprietary: false
|
497 |
is_sentence_transformers_compatible: true
|
498 |
uses_instruct: false
|
499 |
+
almanach__camembert-large:
|
500 |
link: https://huggingface.co/almanach/camembert-large
|
501 |
seq_len: 512
|
502 |
size: 338
|
|
|
505 |
is_proprietary: false
|
506 |
is_sentence_transformers_compatible: true
|
507 |
uses_instruct: false
|
508 |
+
nthakur__contriever-base-msmarco:
|
509 |
link: https://huggingface.co/nthakur/contriever-base-msmarco
|
510 |
seq_len: 512
|
511 |
size: 110
|
|
|
514 |
is_proprietary: false
|
515 |
is_sentence_transformers_compatible: true
|
516 |
uses_instruct: false
|
517 |
+
facebook__contriever:
|
518 |
link: https://huggingface.co/facebook/contriever
|
519 |
seq_len: 512
|
520 |
size: 438
|
|
|
522 |
is_external: true
|
523 |
is_proprietary: false
|
524 |
is_sentence_transformers_compatible: false
|
525 |
+
uses_instruct: false
|
526 |
+
facebook__contriever-instruct:
|
527 |
link: https://huggingface.co/facebook/contriever
|
528 |
seq_len: 512
|
529 |
size: 438
|
|
|
531 |
is_external: true
|
532 |
is_proprietary: false
|
533 |
is_sentence_transformers_compatible: false
|
534 |
+
uses_instruct: true
|
535 |
+
T-Systems-onsite__cross-en-de-roberta-sentence-transformer:
|
536 |
link: https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer
|
537 |
seq_len: 514
|
538 |
size: 278
|
|
|
541 |
is_proprietary: false
|
542 |
is_sentence_transformers_compatible: true
|
543 |
uses_instruct: false
|
544 |
+
chcaa__dfm-encoder-large-v1:
|
545 |
link: https://huggingface.co/chcaa/dfm-encoder-large-v1
|
546 |
seq_len: 512
|
547 |
size: 355
|
|
|
550 |
is_proprietary: false
|
551 |
is_sentence_transformers_compatible: true
|
552 |
uses_instruct: false
|
553 |
+
Geotrend__distilbert-base-25lang-cased:
|
554 |
link: https://huggingface.co/Geotrend/distilbert-base-25lang-cased
|
555 |
seq_len: 512
|
556 |
size: 110
|
|
|
559 |
is_proprietary: false
|
560 |
is_sentence_transformers_compatible: true
|
561 |
uses_instruct: false
|
562 |
+
Geotrend__distilbert-base-en-fr-cased:
|
563 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-cased
|
564 |
seq_len: 512
|
565 |
size: 110
|
|
|
568 |
is_proprietary: false
|
569 |
is_sentence_transformers_compatible: true
|
570 |
uses_instruct: false
|
571 |
+
Geotrend__distilbert-base-en-fr-es-pt-it-cased:
|
572 |
link: https://huggingface.co/Geotrend/distilbert-base-en-fr-es-pt-it-cased
|
573 |
seq_len: 512
|
574 |
size: 110
|
|
|
577 |
is_proprietary: false
|
578 |
is_sentence_transformers_compatible: true
|
579 |
uses_instruct: false
|
580 |
+
Geotrend__distilbert-base-fr-cased:
|
581 |
link: https://huggingface.co/Geotrend/distilbert-base-fr-cased
|
582 |
seq_len: 512
|
583 |
size: 110
|
|
|
586 |
is_proprietary: false
|
587 |
is_sentence_transformers_compatible: true
|
588 |
uses_instruct: false
|
589 |
+
distilbert__distilbert-base-uncased:
|
590 |
+
link: https://huggingface.co/distilbert/distilbert-base-uncased
|
591 |
seq_len: 512
|
592 |
size: 110
|
593 |
dim: 768
|
|
|
595 |
is_proprietary: false
|
596 |
is_sentence_transformers_compatible: true
|
597 |
uses_instruct: false
|
598 |
+
sentence-transformers__distiluse-base-multilingual-cased-v2:
|
599 |
link: https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2
|
600 |
seq_len: 512
|
601 |
size: 135
|
|
|
604 |
is_proprietary: false
|
605 |
is_sentence_transformers_compatible: true
|
606 |
uses_instruct: false
|
607 |
+
facebookresearch__dragon-plus:
|
608 |
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
|
609 |
seq_len: 512
|
610 |
size: 438
|
|
|
613 |
is_proprietary: false
|
614 |
is_sentence_transformers_compatible: false
|
615 |
uses_instruct: false
|
616 |
+
facebookresearch__dragon-plus-instruct:
|
617 |
link: https://github.com/facebookresearch/dpr-scale/tree/main/dragon
|
618 |
seq_len: 512
|
619 |
size: 438
|
620 |
dim: 768
|
621 |
is_external: true
|
622 |
is_proprietary: false
|
623 |
+
is_sentence_transformers_compatible: false
|
624 |
uses_instruct: true
|
625 |
+
dwzhu__e5-base-4k:
|
626 |
link: https://huggingface.co/dwzhu/e5-base-4k
|
627 |
seq_len: 512
|
628 |
size: 110
|
|
|
631 |
is_proprietary: false
|
632 |
is_sentence_transformers_compatible: true
|
633 |
uses_instruct: false
|
634 |
+
intfloat__e5-base-v2:
|
635 |
link: https://huggingface.co/intfloat/e5-base-v2
|
636 |
seq_len: 512
|
637 |
size: 110
|
|
|
640 |
is_proprietary: false
|
641 |
is_sentence_transformers_compatible: true
|
642 |
uses_instruct: false
|
643 |
+
intfloat__e5-base:
|
644 |
link: https://huggingface.co/intfloat/e5-base
|
645 |
seq_len: 512
|
646 |
size: 110
|
|
|
649 |
is_proprietary: false
|
650 |
is_sentence_transformers_compatible: true
|
651 |
uses_instruct: false
|
652 |
+
intfloat__e5-large-v2:
|
653 |
link: https://huggingface.co/intfloat/e5-large-v2
|
654 |
seq_len: 512
|
655 |
size: 335
|
|
|
658 |
is_proprietary: false
|
659 |
is_sentence_transformers_compatible: true
|
660 |
uses_instruct: false
|
661 |
+
intfloat__e5-large:
|
662 |
link: https://huggingface.co/intfloat/e5-large
|
663 |
seq_len: 512
|
664 |
size: 335
|
|
|
667 |
is_proprietary: false
|
668 |
is_sentence_transformers_compatible: true
|
669 |
uses_instruct: false
|
670 |
+
intfloat__e5-mistral-7b-instruct:
|
671 |
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct
|
672 |
seq_len: 32768
|
673 |
size: 7111
|
|
|
676 |
is_proprietary: false
|
677 |
is_sentence_transformers_compatible: true
|
678 |
uses_instruct: true
|
679 |
+
intfloat__e5-mistral-7b-instruct-noinstruct:
|
680 |
link: https://huggingface.co/intfloat/e5-mistral-7b-instruct-noinstruct
|
681 |
seq_len: 32768
|
682 |
size: 7111
|
|
|
684 |
is_external: true
|
685 |
is_proprietary: false
|
686 |
is_sentence_transformers_compatible: true
|
687 |
+
uses_instruct: false
|
688 |
+
intfloat__e5-small:
|
689 |
link: https://huggingface.co/intfloat/e5-small
|
690 |
seq_len: 512
|
691 |
size: 33
|
|
|
694 |
is_proprietary: false
|
695 |
is_sentence_transformers_compatible: true
|
696 |
uses_instruct: false
|
697 |
+
jonfd__electra-small-nordic:
|
698 |
link: https://huggingface.co/jonfd/electra-small-nordic
|
699 |
seq_len: 512
|
700 |
size: 23
|
|
|
703 |
is_proprietary: false
|
704 |
is_sentence_transformers_compatible: true
|
705 |
uses_instruct: false
|
706 |
+
KBLab__electra-small-swedish-cased-discriminator:
|
707 |
link: https://huggingface.co/KBLab/electra-small-swedish-cased-discriminator
|
708 |
seq_len: 512
|
709 |
size: 16
|
|
|
712 |
is_proprietary: false
|
713 |
is_sentence_transformers_compatible: true
|
714 |
uses_instruct: false
|
715 |
+
elastic__elser-v2:
|
716 |
link: https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-elser.html
|
717 |
seq_len: 512
|
718 |
size: 110
|
719 |
dim: 30522
|
720 |
is_external: true
|
721 |
is_proprietary: false
|
722 |
+
is_sentence_transformers_compatible: false
|
723 |
uses_instruct: false
|
724 |
+
google__flan-t5-base:
|
725 |
link: https://huggingface.co/google/flan-t5-base
|
726 |
seq_len: 512
|
727 |
size: 220
|
|
|
730 |
is_proprietary: false
|
731 |
is_sentence_transformers_compatible: true
|
732 |
uses_instruct: true
|
733 |
+
google__flan-t5-large:
|
734 |
link: https://huggingface.co/google/flan-t5-large
|
735 |
seq_len: 512
|
736 |
size: 770
|
|
|
739 |
is_proprietary: false
|
740 |
is_sentence_transformers_compatible: true
|
741 |
uses_instruct: true
|
742 |
+
flaubert__flaubert_base_cased:
|
743 |
link: https://huggingface.co/flaubert/flaubert_base_cased
|
744 |
seq_len: 512
|
745 |
size: 138
|
|
|
748 |
is_proprietary: false
|
749 |
is_sentence_transformers_compatible: true
|
750 |
uses_instruct: false
|
751 |
+
flaubert__flaubert_base_uncased:
|
752 |
link: https://huggingface.co/flaubert/flaubert_base_uncased
|
753 |
seq_len: 512
|
754 |
size: 138
|
|
|
757 |
is_proprietary: false
|
758 |
is_sentence_transformers_compatible: true
|
759 |
uses_instruct: false
|
760 |
+
flaubert__flaubert_large_cased:
|
761 |
link: https://huggingface.co/flaubert/flaubert_large_cased
|
762 |
seq_len: 512
|
763 |
size: 372
|
|
|
766 |
is_proprietary: false
|
767 |
is_sentence_transformers_compatible: true
|
768 |
uses_instruct: false
|
769 |
+
deepset__gbert-base:
|
770 |
link: https://huggingface.co/deepset/gbert-base
|
771 |
seq_len: 512
|
772 |
size: 110
|
|
|
775 |
is_proprietary: false
|
776 |
is_sentence_transformers_compatible: true
|
777 |
uses_instruct: false
|
778 |
+
deepset__gbert-large:
|
779 |
link: https://huggingface.co/deepset/gbert-large
|
780 |
seq_len: 512
|
781 |
size: 337
|
|
|
784 |
is_proprietary: false
|
785 |
is_sentence_transformers_compatible: true
|
786 |
uses_instruct: false
|
787 |
+
deepset__gelectra-base:
|
788 |
link: https://huggingface.co/deepset/gelectra-base
|
789 |
seq_len: 512
|
790 |
size: 110
|
|
|
793 |
is_proprietary: false
|
794 |
is_sentence_transformers_compatible: true
|
795 |
uses_instruct: false
|
796 |
+
deepset__gelectra-large:
|
797 |
link: https://huggingface.co/deepset/gelectra-large
|
798 |
seq_len: 512
|
799 |
size: 335
|
|
|
802 |
is_proprietary: false
|
803 |
is_sentence_transformers_compatible: true
|
804 |
uses_instruct: false
|
805 |
+
sentence-transformers__average_word_embeddings_glove.6B.300d:
|
806 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d
|
807 |
seq_len: N/A
|
808 |
size: 120
|
|
|
811 |
is_proprietary: false
|
812 |
is_sentence_transformers_compatible: true
|
813 |
uses_instruct: false
|
814 |
+
google-gecko__text-embedding-preview-0409-256:
|
815 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
816 |
seq_len: 2048
|
817 |
size: 1200
|
|
|
820 |
is_proprietary: true
|
821 |
is_sentence_transformers_compatible: false
|
822 |
uses_instruct: false
|
823 |
+
google-gecko__text-embedding-preview-0409:
|
824 |
link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models
|
825 |
seq_len: 2048
|
826 |
size: 1200
|
|
|
829 |
is_proprietary: true
|
830 |
is_sentence_transformers_compatible: false
|
831 |
uses_instruct: false
|
832 |
+
uklfr__gottbert-base:
|
833 |
link: https://huggingface.co/uklfr/gottbert-base
|
834 |
seq_len: 512
|
835 |
size: 127
|
|
|
838 |
is_proprietary: false
|
839 |
is_sentence_transformers_compatible: true
|
840 |
uses_instruct: false
|
841 |
+
Alibaba-NLP__gte-Qwen1.5-7B-instruct:
|
842 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct
|
843 |
seq_len: 32768
|
844 |
size: 7099
|
|
|
847 |
is_proprietary: false
|
848 |
is_sentence_transformers_compatible: true
|
849 |
uses_instruct: true
|
850 |
+
Alibaba-NLP__gte-Qwen2-1.5B-instruct:
|
851 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct
|
852 |
seq_len: 32768
|
853 |
size: 1780
|
|
|
856 |
is_proprietary: false
|
857 |
is_sentence_transformers_compatible: true
|
858 |
uses_instruct: true
|
859 |
+
Alibaba-NLP__gte-Qwen2-7B-instruct:
|
860 |
link: https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct
|
861 |
seq_len: 32768
|
862 |
size: 7613
|
|
|
865 |
is_proprietary: false
|
866 |
is_sentence_transformers_compatible: true
|
867 |
uses_instruct: true
|
868 |
+
sentence-transformers__gtr-t5-base:
|
869 |
link: https://huggingface.co/sentence-transformers/gtr-t5-base
|
870 |
seq_len: 512
|
871 |
size: 110
|
|
|
874 |
is_proprietary: false
|
875 |
is_sentence_transformers_compatible: true
|
876 |
uses_instruct: false
|
877 |
+
sentence-transformers__gtr-t5-large:
|
878 |
link: https://huggingface.co/sentence-transformers/gtr-t5-large
|
879 |
seq_len: 512
|
880 |
size: 168
|
|
|
883 |
is_proprietary: false
|
884 |
is_sentence_transformers_compatible: true
|
885 |
uses_instruct: false
|
886 |
+
sentence-transformers__gtr-t5-xl:
|
887 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xl
|
888 |
seq_len: 512
|
889 |
size: 1240
|
|
|
892 |
is_proprietary: false
|
893 |
is_sentence_transformers_compatible: true
|
894 |
uses_instruct: false
|
895 |
+
sentence-transformers__gtr-t5-xxl:
|
896 |
link: https://huggingface.co/sentence-transformers/gtr-t5-xxl
|
897 |
seq_len: 512
|
898 |
size: 4865
|
|
|
901 |
is_proprietary: false
|
902 |
is_sentence_transformers_compatible: true
|
903 |
uses_instruct: false
|
904 |
+
ipipan__herbert-base-retrieval-v2:
|
905 |
link: https://huggingface.co/ipipan/herbert-base-retrieval-v2
|
906 |
seq_len: 514
|
907 |
size: 125
|
|
|
910 |
is_proprietary: false
|
911 |
is_sentence_transformers_compatible: true
|
912 |
uses_instruct: false
|
913 |
+
hkunlp__instructor-base:
|
914 |
link: https://huggingface.co/hkunlp/instructor-base
|
915 |
seq_len: N/A
|
916 |
size: 110
|
|
|
919 |
is_proprietary: false
|
920 |
is_sentence_transformers_compatible: true
|
921 |
uses_instruct: true
|
922 |
+
hkunlp__instructor-large:
|
923 |
link: https://huggingface.co/hkunlp/instructor-large
|
924 |
seq_len: 512
|
925 |
size: 335
|
|
|
928 |
is_proprietary: false
|
929 |
is_sentence_transformers_compatible: true
|
930 |
uses_instruct: true
|
931 |
+
hkunlp__instructor-xl:
|
932 |
link: https://huggingface.co/hkunlp/instructor-xl
|
933 |
seq_len: 512
|
934 |
size: 1241
|
|
|
937 |
is_proprietary: false
|
938 |
is_sentence_transformers_compatible: true
|
939 |
uses_instruct: true
|
940 |
+
jinaai__jina-embeddings-v2-base-en:
|
941 |
link: https://huggingface.co/jinaai/jina-embeddings-v2-base-en
|
942 |
seq_len: 8192
|
943 |
size: 275
|
944 |
dim: 768
|
945 |
is_external: true
|
946 |
is_proprietary: false
|
947 |
+
is_sentence_transformers_compatible: true
|
948 |
uses_instruct: false
|
949 |
+
sentence-transformers__average_word_embeddings_komninos:
|
950 |
link: https://huggingface.co/sentence-transformers/average_word_embeddings_komninos
|
951 |
seq_len: N/A
|
952 |
size: 134
|
|
|
955 |
is_proprietary: false
|
956 |
is_sentence_transformers_compatible: true
|
957 |
uses_instruct: false
|
958 |
+
meta-llama__llama-2-7b-chat:
|
959 |
link: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf
|
960 |
seq_len: 4096
|
961 |
size: 7000
|
|
|
964 |
is_proprietary: false
|
965 |
is_sentence_transformers_compatible: false
|
966 |
uses_instruct: true
|
967 |
+
silk-road__luotuo-bert-medium:
|
968 |
link: https://huggingface.co/silk-road/luotuo-bert-medium
|
969 |
seq_len: 512
|
970 |
size: 328
|
|
|
973 |
is_proprietary: false
|
974 |
is_sentence_transformers_compatible: true
|
975 |
uses_instruct: false
|
976 |
+
moka-ai__m3e-base:
|
977 |
link: https://huggingface.co/moka-ai/m3e-base
|
978 |
seq_len: 512
|
979 |
size: 102
|
|
|
982 |
is_proprietary: false
|
983 |
is_sentence_transformers_compatible: true
|
984 |
uses_instruct: false
|
985 |
+
moka-ai__m3e-large:
|
986 |
link: https://huggingface.co/moka-ai/m3e-large
|
987 |
seq_len: 512
|
988 |
size: 102
|
|
|
991 |
is_proprietary: false
|
992 |
is_sentence_transformers_compatible: true
|
993 |
uses_instruct: false
|
994 |
+
mistralai__mistral-7b-instruct-v0.2:
|
995 |
link: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2
|
996 |
seq_len: 4096
|
997 |
size: 7240
|
|
|
1000 |
is_proprietary: false
|
1001 |
is_sentence_transformers_compatible: false
|
1002 |
uses_instruct: true
|
1003 |
+
mistral__mistral-embed:
|
1004 |
link: https://docs.mistral.ai/guides/embeddings
|
1005 |
seq_len: null
|
1006 |
size: null
|
|
|
1009 |
is_proprietary: true
|
1010 |
is_sentence_transformers_compatible: false
|
1011 |
uses_instruct: false
|
1012 |
+
castorini__monobert-large-msmarco:
|
1013 |
link: https://huggingface.co/castorini/monobert-large-msmarco
|
1014 |
seq_len: 512
|
1015 |
size: 770
|
|
|
1018 |
is_proprietary: false
|
1019 |
is_sentence_transformers_compatible: false
|
1020 |
uses_instruct: false
|
1021 |
+
castorini__monot5-3b-msmarco-10k:
|
1022 |
link: https://huggingface.co/castorini/monot5-3b-msmarco-10k
|
1023 |
seq_len: 512
|
1024 |
size: 2480
|
|
|
1027 |
is_proprietary: false
|
1028 |
is_sentence_transformers_compatible: false
|
1029 |
uses_instruct: true
|
1030 |
+
castorini__monot5-base-msmarco-10k:
|
1031 |
link: https://huggingface.co/castorini/monot5-base-msmarco-10k
|
1032 |
seq_len: 512
|
1033 |
size: 220
|
|
|
1036 |
is_proprietary: false
|
1037 |
is_sentence_transformers_compatible: false
|
1038 |
uses_instruct: true
|
1039 |
+
sentence-transformers__msmarco-bert-co-condensor:
|
1040 |
link: https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor
|
1041 |
seq_len: 512
|
1042 |
size: 110
|
|
|
1045 |
is_proprietary: false
|
1046 |
is_sentence_transformers_compatible: true
|
1047 |
uses_instruct: false
|
1048 |
+
sentence-transformers__multi-qa-MiniLM-L6-cos-v1:
|
1049 |
link: https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1
|
1050 |
seq_len: 512
|
1051 |
size: 23
|
|
|
1054 |
is_proprietary: false
|
1055 |
is_sentence_transformers_compatible: true
|
1056 |
uses_instruct: false
|
1057 |
+
intfloat__multilingual-e5-base:
|
1058 |
link: https://huggingface.co/intfloat/multilingual-e5-base
|
1059 |
seq_len: 514
|
1060 |
size: 278
|
|
|
1063 |
is_proprietary: false
|
1064 |
is_sentence_transformers_compatible: true
|
1065 |
uses_instruct: false
|
1066 |
+
intfloat__multilingual-e5-large:
|
1067 |
link: https://huggingface.co/intfloat/multilingual-e5-large
|
1068 |
seq_len: 514
|
1069 |
size: 560
|
|
|
1072 |
is_proprietary: false
|
1073 |
is_sentence_transformers_compatible: true
|
1074 |
uses_instruct: false
|
1075 |
+
intfloat__multilingual-e5-large-instruct:
|
1076 |
link: https://huggingface.co/intfloat/multilingual-e5-large-instruct
|
1077 |
seq_len: 514
|
1078 |
size: 560
|
|
|
1081 |
is_proprietary: false
|
1082 |
is_sentence_transformers_compatible: true
|
1083 |
uses_instruct: true
|
1084 |
+
intfloat__multilingual-e5-small:
|
1085 |
link: https://huggingface.co/intfloat/multilingual-e5-small
|
1086 |
seq_len: 512
|
1087 |
size: 118
|
|
|
1090 |
is_proprietary: false
|
1091 |
is_sentence_transformers_compatible: true
|
1092 |
uses_instruct: false
|
1093 |
+
NbAiLab__nb-bert-base:
|
1094 |
link: https://huggingface.co/NbAiLab/nb-bert-base
|
1095 |
seq_len: 512
|
1096 |
size: 179
|
|
|
1099 |
is_proprietary: false
|
1100 |
is_sentence_transformers_compatible: true
|
1101 |
uses_instruct: false
|
1102 |
+
NbAiLab__nb-bert-large:
|
1103 |
link: https://huggingface.co/NbAiLab/nb-bert-large
|
1104 |
seq_len: 512
|
1105 |
size: 355
|
|
|
1108 |
is_proprietary: false
|
1109 |
is_sentence_transformers_compatible: true
|
1110 |
uses_instruct: false
|
1111 |
+
nomic-ai__nomic-embed-text-v1:
|
1112 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1
|
1113 |
seq_len: 8192
|
1114 |
size: 547
|
|
|
1117 |
is_proprietary: false
|
1118 |
is_sentence_transformers_compatible: true
|
1119 |
uses_instruct: false
|
1120 |
+
nomic-ai__nomic-embed-text-v1.5-128:
|
1121 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1122 |
seq_len: 8192
|
1123 |
size: 138
|
|
|
1126 |
is_proprietary: false
|
1127 |
is_sentence_transformers_compatible: true
|
1128 |
uses_instruct: false
|
1129 |
+
nomic-ai__nomic-embed-text-v1.5-256:
|
1130 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1131 |
seq_len: 8192
|
1132 |
size: 138
|
|
|
1135 |
is_proprietary: false
|
1136 |
is_sentence_transformers_compatible: true
|
1137 |
uses_instruct: false
|
1138 |
+
nomic-ai__nomic-embed-text-v1.5-512:
|
1139 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1140 |
seq_len: 8192
|
1141 |
size: 138
|
|
|
1144 |
is_proprietary: false
|
1145 |
is_sentence_transformers_compatible: true
|
1146 |
uses_instruct: false
|
1147 |
+
nomic-ai__nomic-embed-text-v1.5-64:
|
1148 |
link: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
1149 |
seq_len: 8192
|
1150 |
size: 138
|
|
|
1153 |
is_proprietary: false
|
1154 |
is_sentence_transformers_compatible: true
|
1155 |
uses_instruct: false
|
1156 |
+
ltg__norbert3-base:
|
1157 |
link: https://huggingface.co/ltg/norbert3-base
|
1158 |
seq_len: 512
|
1159 |
size: 131
|
|
|
1162 |
is_proprietary: false
|
1163 |
is_sentence_transformers_compatible: true
|
1164 |
uses_instruct: false
|
1165 |
+
ltg__norbert3-large:
|
1166 |
link: https://huggingface.co/ltg/norbert3-large
|
1167 |
seq_len: 512
|
1168 |
size: 368
|
|
|
1171 |
is_proprietary: false
|
1172 |
is_sentence_transformers_compatible: true
|
1173 |
uses_instruct: false
|
1174 |
+
sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2:
|
1175 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
1176 |
seq_len: 512
|
1177 |
size: 118
|
|
|
1180 |
is_proprietary: false
|
1181 |
is_sentence_transformers_compatible: true
|
1182 |
uses_instruct: false
|
1183 |
+
sentence-transformers__paraphrase-multilingual-mpnet-base-v2:
|
1184 |
link: https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2
|
1185 |
seq_len: 514
|
1186 |
size: 278
|
|
|
1189 |
is_proprietary: false
|
1190 |
is_sentence_transformers_compatible: true
|
1191 |
uses_instruct: false
|
1192 |
+
KBLab__sentence-bert-swedish-cased:
|
1193 |
link: https://huggingface.co/KBLab/sentence-bert-swedish-cased
|
1194 |
seq_len: 512
|
1195 |
size: 125
|
|
|
1198 |
is_proprietary: false
|
1199 |
is_sentence_transformers_compatible: true
|
1200 |
uses_instruct: false
|
1201 |
+
dangvantuan__sentence-camembert-base:
|
1202 |
link: https://huggingface.co/dangvantuan/sentence-camembert-base
|
1203 |
seq_len: 512
|
1204 |
size: 110
|
|
|
1207 |
is_proprietary: false
|
1208 |
is_sentence_transformers_compatible: true
|
1209 |
uses_instruct: false
|
1210 |
+
dangvantuan__sentence-camembert-large:
|
1211 |
link: https://huggingface.co/dangvantuan/sentence-camembert-large
|
1212 |
seq_len: 512
|
1213 |
size: 337
|
|
|
1216 |
is_proprietary: false
|
1217 |
is_sentence_transformers_compatible: true
|
1218 |
uses_instruct: false
|
1219 |
+
Wissam42__sentence-croissant-llm-base:
|
1220 |
link: https://huggingface.co/Wissam42/sentence-croissant-llm-base
|
1221 |
seq_len: 2048
|
1222 |
size: 1280
|
|
|
1225 |
is_proprietary: false
|
1226 |
is_sentence_transformers_compatible: true
|
1227 |
uses_instruct: false
|
1228 |
+
sentence-transformers__sentence-t5-base:
|
1229 |
link: https://huggingface.co/sentence-transformers/sentence-t5-base
|
1230 |
seq_len: 512
|
1231 |
size: 110
|
|
|
1234 |
is_proprietary: false
|
1235 |
is_sentence_transformers_compatible: true
|
1236 |
uses_instruct: false
|
1237 |
+
sentence-transformers__sentence-t5-large:
|
1238 |
link: https://huggingface.co/sentence-transformers/sentence-t5-large
|
1239 |
seq_len: 512
|
1240 |
size: 168
|
|
|
1243 |
is_proprietary: false
|
1244 |
is_sentence_transformers_compatible: true
|
1245 |
uses_instruct: false
|
1246 |
+
sentence-transformers__sentence-t5-xl:
|
1247 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xl
|
1248 |
seq_len: 512
|
1249 |
size: 1240
|
|
|
1252 |
is_proprietary: false
|
1253 |
is_sentence_transformers_compatible: true
|
1254 |
uses_instruct: false
|
1255 |
+
sentence-transformers__sentence-t5-xxl:
|
1256 |
link: https://huggingface.co/sentence-transformers/sentence-t5-xxl
|
1257 |
seq_len: 512
|
1258 |
size: 4865
|
|
|
1261 |
is_proprietary: false
|
1262 |
is_sentence_transformers_compatible: true
|
1263 |
uses_instruct: false
|
1264 |
+
ipipan__silver-retriever-base-v1:
|
1265 |
link: https://huggingface.co/ipipan/silver-retriever-base-v1
|
1266 |
seq_len: 514
|
1267 |
size: 125
|
|
|
1270 |
is_proprietary: false
|
1271 |
is_sentence_transformers_compatible: true
|
1272 |
uses_instruct: false
|
1273 |
+
sdadas__st-polish-paraphrase-from-distilroberta:
|
1274 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-distilroberta
|
1275 |
seq_len: 514
|
1276 |
size: 125
|
|
|
1279 |
is_proprietary: false
|
1280 |
is_sentence_transformers_compatible: true
|
1281 |
uses_instruct: false
|
1282 |
+
sdadas__st-polish-paraphrase-from-mpnet:
|
1283 |
link: https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet
|
1284 |
seq_len: 514
|
1285 |
size: 125
|
|
|
1306 |
is_proprietary: false
|
1307 |
is_sentence_transformers_compatible: true
|
1308 |
uses_instruct: true
|
1309 |
+
princeton-nlp__sup-simcse-bert-base-uncased:
|
1310 |
link: https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased
|
1311 |
seq_len: 512
|
1312 |
size: 110
|
|
|
1315 |
is_proprietary: false
|
1316 |
is_sentence_transformers_compatible: true
|
1317 |
uses_instruct: false
|
1318 |
+
openai__text-embedding-3-large:
|
1319 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1320 |
seq_len: 8191
|
1321 |
size: null
|
|
|
1324 |
is_proprietary: true
|
1325 |
is_sentence_transformers_compatible: false
|
1326 |
uses_instruct: false
|
1327 |
+
openai__text-embedding-3-large-instruct:
|
1328 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1329 |
seq_len: 8191
|
1330 |
size: null
|
|
|
1332 |
is_external: true
|
1333 |
is_proprietary: true
|
1334 |
is_sentence_transformers_compatible: false
|
1335 |
+
uses_instruct: true
|
1336 |
+
openai__text-embedding-3-large-256:
|
1337 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1338 |
seq_len: 8191
|
1339 |
size: null
|
|
|
1342 |
is_proprietary: true
|
1343 |
is_sentence_transformers_compatible: false
|
1344 |
uses_instruct: false
|
1345 |
+
openai__text-embedding-3-small:
|
1346 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1347 |
seq_len: 8191
|
1348 |
size: null
|
|
|
1351 |
is_proprietary: true
|
1352 |
is_sentence_transformers_compatible: false
|
1353 |
uses_instruct: false
|
1354 |
+
openai__text-embedding-3-small-instruct:
|
1355 |
link: https://openai.com/blog/new-embedding-models-and-api-updates
|
1356 |
seq_len: 8191
|
1357 |
size: null
|
|
|
1359 |
is_external: true
|
1360 |
is_proprietary: true
|
1361 |
is_sentence_transformers_compatible: false
|
1362 |
+
uses_instruct: true
|
1363 |
+
openai__text-embedding-ada-002:
|
1364 |
link: https://openai.com/blog/new-and-improved-embedding-model
|
1365 |
seq_len: 8191
|
1366 |
size: null
|
|
|
1369 |
is_proprietary: true
|
1370 |
is_sentence_transformers_compatible: false
|
1371 |
uses_instruct: false
|
1372 |
+
openai__text-embedding-ada-002-instruct:
|
1373 |
link: https://openai.com/blog/new-and-improved-embedding-model
|
1374 |
seq_len: 8191
|
1375 |
size: null
|
|
|
1377 |
is_external: true
|
1378 |
is_proprietary: true
|
1379 |
is_sentence_transformers_compatible: false
|
1380 |
+
uses_instruct: true
|
1381 |
+
openai__text-search-ada-001:
|
1382 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1383 |
seq_len: 2046
|
1384 |
size: null
|
|
|
1387 |
is_proprietary: true
|
1388 |
is_sentence_transformers_compatible: false
|
1389 |
uses_instruct: false
|
1390 |
+
openai__text-search-ada-doc-001:
|
1391 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1392 |
seq_len: 2046
|
1393 |
size: null
|
|
|
1405 |
is_proprietary: true
|
1406 |
is_sentence_transformers_compatible: false
|
1407 |
uses_instruct: false
|
1408 |
+
openai__text-search-babbage-001:
|
1409 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1410 |
seq_len: 2046
|
1411 |
size: null
|
|
|
1414 |
is_proprietary: true
|
1415 |
is_sentence_transformers_compatible: false
|
1416 |
uses_instruct: false
|
1417 |
+
openai__text-search-curie-001:
|
1418 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1419 |
seq_len: 2046
|
1420 |
size: null
|
|
|
1423 |
is_proprietary: true
|
1424 |
is_sentence_transformers_compatible: false
|
1425 |
uses_instruct: false
|
1426 |
+
openai__text-search-davinci-001:
|
1427 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1428 |
seq_len: 2046
|
1429 |
size: null
|
|
|
1432 |
is_proprietary: true
|
1433 |
is_sentence_transformers_compatible: false
|
1434 |
uses_instruct: false
|
1435 |
+
openai__text-similarity-ada-001:
|
1436 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1437 |
seq_len: 2046
|
1438 |
size: null
|
|
|
1441 |
is_proprietary: true
|
1442 |
is_sentence_transformers_compatible: false
|
1443 |
uses_instruct: false
|
1444 |
+
openai__text-similarity-babbage-001:
|
1445 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1446 |
seq_len: 2046
|
1447 |
size: null
|
|
|
1450 |
is_proprietary: true
|
1451 |
is_sentence_transformers_compatible: false
|
1452 |
uses_instruct: false
|
1453 |
+
openai__text-similarity-curie-001:
|
1454 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1455 |
seq_len: 2046
|
1456 |
size: null
|
|
|
1459 |
is_proprietary: true
|
1460 |
is_sentence_transformers_compatible: false
|
1461 |
uses_instruct: false
|
1462 |
+
openai__text-similarity-davinci-001:
|
1463 |
link: https://openai.com/blog/introducing-text-and-code-embeddings
|
1464 |
seq_len: 2046
|
1465 |
size: null
|
|
|
1468 |
is_proprietary: true
|
1469 |
is_sentence_transformers_compatible: false
|
1470 |
uses_instruct: false
|
1471 |
+
orionweller__tart-dual-contriever-msmarco:
|
1472 |
link: https://huggingface.co/orionweller/tart-dual-contriever-msmarco
|
1473 |
seq_len: 512
|
1474 |
size: 110
|
|
|
1477 |
is_proprietary: false
|
1478 |
is_sentence_transformers_compatible: false
|
1479 |
uses_instruct: true
|
1480 |
+
facebook__tart-full-flan-t5-xl:
|
1481 |
link: https://huggingface.co/facebook/tart-full-flan-t5-xl
|
1482 |
seq_len: 512
|
1483 |
size: 2480
|
|
|
1486 |
is_proprietary: false
|
1487 |
is_sentence_transformers_compatible: false
|
1488 |
uses_instruct: true
|
1489 |
+
shibing624__text2vec-base-chinese:
|
1490 |
link: https://huggingface.co/shibing624/text2vec-base-chinese
|
1491 |
seq_len: 512
|
1492 |
size: 102
|
|
|
1495 |
is_proprietary: false
|
1496 |
is_sentence_transformers_compatible: true
|
1497 |
uses_instruct: false
|
1498 |
+
shibing624__text2vec-base-multilingual:
|
1499 |
+
link: https://huggingface.co/shibing624/text2vec-base-multilingual
|
1500 |
+
seq_len: 256
|
1501 |
+
size: 118
|
1502 |
+
dim: 384
|
1503 |
is_external: true
|
1504 |
is_proprietary: false
|
1505 |
is_sentence_transformers_compatible: false
|
1506 |
uses_instruct: false
|
1507 |
+
shibing624__text2vec-large-chinese:
|
1508 |
link: https://huggingface.co/GanymedeNil/text2vec-large-chinese
|
1509 |
seq_len: 512
|
1510 |
size: 326
|
|
|
1513 |
is_proprietary: false
|
1514 |
is_sentence_transformers_compatible: true
|
1515 |
uses_instruct: false
|
1516 |
+
amazon__titan-embed-text-v1:
|
1517 |
link: https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html
|
1518 |
seq_len: 8000
|
1519 |
size: null
|
|
|
1522 |
is_proprietary: true
|
1523 |
is_sentence_transformers_compatible: false
|
1524 |
uses_instruct: false
|
1525 |
+
izhx__udever-bloom-1b1:
|
1526 |
link: https://huggingface.co/izhx/udever-bloom-1b1
|
1527 |
seq_len: 2048
|
1528 |
size: null
|
|
|
1531 |
is_proprietary: false
|
1532 |
is_sentence_transformers_compatible: true
|
1533 |
uses_instruct: false
|
1534 |
+
izhx__udever-bloom-560m:
|
1535 |
link: https://huggingface.co/izhx/udever-bloom-560m
|
1536 |
seq_len: 2048
|
1537 |
size: null
|
|
|
1540 |
is_proprietary: false
|
1541 |
is_sentence_transformers_compatible: true
|
1542 |
uses_instruct: false
|
1543 |
+
vprelovac__universal-sentence-encoder-multilingual-3:
|
1544 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-3
|
1545 |
seq_len: 512
|
1546 |
size: null
|
|
|
1549 |
is_proprietary: false
|
1550 |
is_sentence_transformers_compatible: true
|
1551 |
uses_instruct: false
|
1552 |
+
vprelovac__universal-sentence-encoder-multilingual-large-3:
|
1553 |
link: https://huggingface.co/vprelovac/universal-sentence-encoder-multilingual-large-3
|
1554 |
seq_len: 512
|
1555 |
size: null
|
|
|
1558 |
is_proprietary: false
|
1559 |
is_sentence_transformers_compatible: true
|
1560 |
uses_instruct: false
|
1561 |
+
princeton-nlp__unsup-simcse-bert-base-uncased:
|
1562 |
link: https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased
|
1563 |
seq_len: 512
|
1564 |
size: 110
|
|
|
1567 |
is_proprietary: false
|
1568 |
is_sentence_transformers_compatible: true
|
1569 |
uses_instruct: false
|
1570 |
+
sentence-transformers__use-cmlm-multilingual:
|
1571 |
link: https://huggingface.co/sentence-transformers/use-cmlm-multilingual
|
1572 |
seq_len: 512
|
1573 |
size: 472
|
|
|
1575 |
is_external: true
|
1576 |
is_proprietary: false
|
1577 |
is_sentence_transformers_compatible: true
|
1578 |
+
uses_instruct: false
|
1579 |
+
voyageai__voyage-2:
|
1580 |
link: https://docs.voyageai.com/embeddings/
|
1581 |
seq_len: 1024
|
1582 |
size: null
|
|
|
1584 |
is_external: true
|
1585 |
is_proprietary: true
|
1586 |
is_sentence_transformers_compatible: false
|
1587 |
+
uses_instruct: false
|
1588 |
+
voyageai__voyage-code-2:
|
1589 |
link: https://docs.voyageai.com/embeddings/
|
1590 |
seq_len: 16000
|
1591 |
size: null
|
|
|
1593 |
is_external: true
|
1594 |
is_proprietary: true
|
1595 |
is_sentence_transformers_compatible: false
|
1596 |
+
uses_instruct: false
|
1597 |
+
voyageai__voyage-large-2-instruct:
|
1598 |
link: https://docs.voyageai.com/embeddings/
|
1599 |
seq_len: 16000
|
1600 |
size: null
|
|
|
1602 |
is_external: true
|
1603 |
is_proprietary: false
|
1604 |
is_sentence_transformers_compatible: false
|
1605 |
+
uses_instruct: true
|
1606 |
+
voyageai__voyage-law-2:
|
1607 |
link: https://docs.voyageai.com/embeddings/
|
1608 |
seq_len: 16000
|
1609 |
size: null
|
|
|
1611 |
is_external: true
|
1612 |
is_proprietary: true
|
1613 |
is_sentence_transformers_compatible: false
|
1614 |
+
uses_instruct: false
|
1615 |
+
voyageai__voyage-lite-01-instruct:
|
1616 |
link: https://docs.voyageai.com/embeddings/
|
1617 |
seq_len: 4000
|
1618 |
size: null
|
|
|
1620 |
is_external: true
|
1621 |
is_proprietary: true
|
1622 |
is_sentence_transformers_compatible: false
|
1623 |
+
uses_instruct: true
|
1624 |
+
voyageai__voyage-lite-02-instruct:
|
1625 |
link: https://docs.voyageai.com/embeddings/
|
1626 |
seq_len: 4000
|
1627 |
size: 1220
|
|
|
1629 |
is_external: true
|
1630 |
is_proprietary: true
|
1631 |
is_sentence_transformers_compatible: false
|
1632 |
+
uses_instruct: true
|
1633 |
+
voyageai__voyage-multilingual-2:
|
1634 |
link: https://docs.voyageai.com/embeddings/
|
1635 |
seq_len: 32000
|
1636 |
size: null
|
|
|
1638 |
is_external: true
|
1639 |
is_proprietary: true
|
1640 |
is_sentence_transformers_compatible: false
|
1641 |
+
uses_instruct: false
|
1642 |
+
FacebookAI__xlm-roberta-base:
|
1643 |
+
link: https://huggingface.co/FacebookAI/xlm-roberta-base
|
1644 |
seq_len: 514
|
1645 |
size: 279
|
1646 |
dim: 768
|
1647 |
is_external: true
|
1648 |
is_proprietary: false
|
1649 |
is_sentence_transformers_compatible: true
|
1650 |
+
uses_instruct: false
|
1651 |
+
FacebookAI__xlm-roberta-large:
|
1652 |
+
link: https://huggingface.co/FacebookAI/xlm-roberta-large
|
1653 |
seq_len: 514
|
1654 |
size: 560
|
1655 |
dim: 1024
|
|
|
1657 |
is_proprietary: false
|
1658 |
is_sentence_transformers_compatible: true
|
1659 |
uses_instruct: false
|
1660 |
+
cointegrated__rubert-tiny:
|
1661 |
link: https://huggingface.co/cointegrated/rubert-tiny
|
1662 |
seq_len: 514
|
1663 |
size: 12
|
|
|
1666 |
is_proprietary: false
|
1667 |
is_sentence_transformers_compatible: true
|
1668 |
uses_instruct: false
|
1669 |
+
cointegrated__rubert-tiny2:
|
1670 |
link: https://huggingface.co/cointegrated/rubert-tiny2
|
1671 |
seq_len: 514
|
1672 |
size: 29
|
|
|
1675 |
is_proprietary: false
|
1676 |
is_sentence_transformers_compatible: true
|
1677 |
uses_instruct: false
|
1678 |
+
ai-forever__sbert_large_mt_nlu_ru:
|
1679 |
link: https://huggingface.co/ai-forever/sbert_large_mt_nlu_ru
|
1680 |
seq_len: 514
|
1681 |
size: 427
|
|
|
1684 |
is_proprietary: false
|
1685 |
is_sentence_transformers_compatible: true
|
1686 |
uses_instruct: false
|
1687 |
+
ai-forever__sbert_large_nlu_ru:
|
1688 |
link: https://huggingface.co/ai-forever/sbert_large_nlu_ru
|
1689 |
seq_len: 512
|
1690 |
size: 427
|
|
|
1693 |
is_proprietary: false
|
1694 |
is_sentence_transformers_compatible: true
|
1695 |
uses_instruct: false
|
1696 |
+
deepvk__USER-base:
|
1697 |
link: https://huggingface.co/deepvk/USER-base
|
1698 |
seq_len: 512
|
1699 |
size: 124
|
|
|
1702 |
is_proprietary: false
|
1703 |
is_sentence_transformers_compatible: true
|
1704 |
uses_instruct: false
|
1705 |
+
deepvk__USER-bge-m3:
|
1706 |
link: https://huggingface.co/deepvk/USER-bge-m3
|
1707 |
seq_len: 8192
|
1708 |
size: 359
|
|
|
1711 |
is_proprietary: false
|
1712 |
is_sentence_transformers_compatible: true
|
1713 |
uses_instruct: false
|
1714 |
+
deepvk__deberta-v1-base:
|
1715 |
link: https://huggingface.co/deepvk/deberta-v1-base
|
1716 |
seq_len: 512
|
1717 |
size: 124
|
|
|
1720 |
is_proprietary: false
|
1721 |
is_sentence_transformers_compatible: true
|
1722 |
uses_instruct: false
|
1723 |
+
sergeyzh__rubert-tiny-turbo:
|
1724 |
link: https://huggingface.co/sergeyzh/rubert-tiny-turbo
|
1725 |
seq_len: 2048
|
1726 |
size: 29
|
|
|
1729 |
is_proprietary: false
|
1730 |
is_sentence_transformers_compatible: true
|
1731 |
uses_instruct: false
|
1732 |
+
sergeyzh__LaBSE-ru-turbo:
|
1733 |
link: https://huggingface.co/sergeyzh/LaBSE-ru-turbo
|
1734 |
seq_len: 512
|
1735 |
size: 128
|
|
|
1738 |
is_proprietary: false
|
1739 |
is_sentence_transformers_compatible: true
|
1740 |
uses_instruct: false
|
1741 |
+
DeepPavlov__distilrubert-small-cased-conversational:
|
1742 |
link: https://huggingface.co/DeepPavlov/distilrubert-small-cased-conversational
|
1743 |
seq_len: 512
|
1744 |
size: 106
|
|
|
1747 |
is_proprietary: false
|
1748 |
is_sentence_transformers_compatible: true
|
1749 |
uses_instruct: false
|
1750 |
+
DeepPavlov__rubert-base-cased:
|
1751 |
link: https://huggingface.co/DeepPavlov/rubert-base-cased
|
1752 |
seq_len: 512
|
1753 |
size: 180
|
|
|
1756 |
is_proprietary: false
|
1757 |
is_sentence_transformers_compatible: true
|
1758 |
uses_instruct: false
|
1759 |
+
DeepPavlov__rubert-base-cased-sentence:
|
1760 |
link: https://huggingface.co/DeepPavlov/rubert-base-cased-sentence
|
1761 |
seq_len: 512
|
1762 |
size: 180
|
|
|
1765 |
is_proprietary: false
|
1766 |
is_sentence_transformers_compatible: true
|
1767 |
uses_instruct: false
|
1768 |
+
cointegrated__LaBSE-en-ru:
|
1769 |
link: https://huggingface.co/cointegrated/LaBSE-en-ru
|
1770 |
seq_len: 512
|
1771 |
size: 129
|
refresh.py
CHANGED
@@ -128,7 +128,9 @@ def make_clickable_model(model_name: str, link: None | str = None) -> str:
|
|
128 |
if link is None:
|
129 |
link = "https://huggingface.co/" + model_name
|
130 |
# Remove user from model name
|
131 |
-
|
|
|
|
|
132 |
|
133 |
|
134 |
def add_subset(examples):
|
@@ -657,7 +659,7 @@ def refresh_leaderboard() -> tuple[list, dict]:
|
|
657 |
)
|
658 |
for board, board_config in pbar_tasks:
|
659 |
# Optional fetch only for a specific board
|
660 |
-
|
661 |
# Very hacky - should fix this as soon as possible
|
662 |
if board == "bright_long":
|
663 |
TASK_TO_METRIC["Retrieval"] = ["recall_at_1"]
|
|
|
128 |
if link is None:
|
129 |
link = "https://huggingface.co/" + model_name
|
130 |
# Remove user from model name
|
131 |
+
model_name = model_name.split("/")[-1]
|
132 |
+
model_name = model_name.split("__")[-1]
|
133 |
+
return f'<a target="_blank" style="text-decoration: underline" href="{link}">{model_name}</a>'
|
134 |
|
135 |
|
136 |
def add_subset(examples):
|
|
|
659 |
)
|
660 |
for board, board_config in pbar_tasks:
|
661 |
# Optional fetch only for a specific board
|
662 |
+
if board != "ru": continue
|
663 |
# Very hacky - should fix this as soon as possible
|
664 |
if board == "bright_long":
|
665 |
TASK_TO_METRIC["Retrieval"] = ["recall_at_1"]
|