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1
  ---
2
  quantized_by: bartowski
3
  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  ---
5
 
6
  ## Llamacpp Static Quantizations of granite-embedding-278m-multilingual
 
1
  ---
2
  quantized_by: bartowski
3
  pipeline_tag: text-generation
4
+ language:
5
+ - en
6
+ - ar
7
+ - cs
8
+ - de
9
+ - es
10
+ - fr
11
+ - it
12
+ - ja
13
+ - ko
14
+ - nl
15
+ - pt
16
+ - zh
17
+ tags:
18
+ - language
19
+ - granite
20
+ - embeddings
21
+ - multilingual
22
+ license: apache-2.0
23
+ base_model: ibm-granite/granite-embedding-278m-multilingual
24
+ model-index:
25
+ - name: ibm-granite/granite-embedding-278m-multilingual
26
+ results:
27
+ - task:
28
+ type: Retrieval
29
+ dataset:
30
+ name: Miracl (en)
31
+ type: miracl/mmteb-miracl
32
+ config: en
33
+ split: dev
34
+ metrics:
35
+ - type: ndcg_at_1
36
+ value: 0.45557
37
+ - type: ndcg_at_10
38
+ value: 0.49372
39
+ - type: ndcg_at_100
40
+ value: 0.5728
41
+ - type: ndcg_at_1000
42
+ value: 0.59187
43
+ - type: ndcg_at_20
44
+ value: 0.52863
45
+ - type: ndcg_at_3
46
+ value: 0.43969
47
+ - type: ndcg_at_5
48
+ value: 0.45551
49
+ - type: recall_at_1
50
+ value: 0.21785
51
+ - type: recall_at_10
52
+ value: 0.59513
53
+ - type: recall_at_100
54
+ value: 0.85785
55
+ - type: recall_at_1000
56
+ value: 0.96041
57
+ - type: recall_at_20
58
+ value: 0.69357
59
+ - type: recall_at_3
60
+ value: 0.40403
61
+ - type: recall_at_5
62
+ value: 0.48499
63
+ - task:
64
+ type: Retrieval
65
+ dataset:
66
+ name: Miracl (ar)
67
+ type: miracl/mmteb-miracl
68
+ config: ar
69
+ split: dev
70
+ metrics:
71
+ - type: ndcg_at_1
72
+ value: 0.57459
73
+ - type: ndcg_at_10
74
+ value: 0.64238
75
+ - type: ndcg_at_100
76
+ value: 0.6867
77
+ - type: ndcg_at_1000
78
+ value: 0.6951
79
+ - type: ndcg_at_20
80
+ value: 0.66455
81
+ - type: ndcg_at_3
82
+ value: 0.58162
83
+ - type: ndcg_at_5
84
+ value: 0.60831
85
+ - type: recall_at_1
86
+ value: 0.38064
87
+ - type: recall_at_10
88
+ value: 0.75098
89
+ - type: recall_at_100
90
+ value: 0.91203
91
+ - type: recall_at_1000
92
+ value: 0.96706
93
+ - type: recall_at_20
94
+ value: 0.81978
95
+ - type: recall_at_3
96
+ value: 0.58618
97
+ - type: recall_at_5
98
+ value: 0.66353
99
+ - task:
100
+ type: Retrieval
101
+ dataset:
102
+ name: Miracl (bn)
103
+ type: miracl/mmteb-miracl
104
+ config: bn
105
+ split: dev
106
+ metrics:
107
+ - type: ndcg_at_1
108
+ value: 0.60341
109
+ - type: ndcg_at_10
110
+ value: 0.68055
111
+ - type: ndcg_at_100
112
+ value: 0.72008
113
+ - type: ndcg_at_1000
114
+ value: 0.72716
115
+ - type: ndcg_at_20
116
+ value: 0.69914
117
+ - type: ndcg_at_3
118
+ value: 0.60805
119
+ - type: ndcg_at_5
120
+ value: 0.64486
121
+ - type: recall_at_1
122
+ value: 0.37948
123
+ - type: recall_at_10
124
+ value: 0.80609
125
+ - type: recall_at_100
126
+ value: 0.94305
127
+ - type: recall_at_1000
128
+ value: 0.98625
129
+ - type: recall_at_20
130
+ value: 0.86141
131
+ - type: recall_at_3
132
+ value: 0.61095
133
+ - type: recall_at_5
134
+ value: 0.71316
135
+ - task:
136
+ type: Retrieval
137
+ dataset:
138
+ name: Miracl (de)
139
+ type: miracl/mmteb-miracl
140
+ config: de
141
+ split: dev
142
+ metrics:
143
+ - type: ndcg_at_1
144
+ value: 0.45574
145
+ - type: ndcg_at_10
146
+ value: 0.48123
147
+ - type: ndcg_at_100
148
+ value: 0.56049
149
+ - type: ndcg_at_1000
150
+ value: 0.57979
151
+ - type: ndcg_at_20
152
+ value: 0.51785
153
+ - type: ndcg_at_3
154
+ value: 0.41243
155
+ - type: ndcg_at_5
156
+ value: 0.4386
157
+ - type: recall_at_1
158
+ value: 0.20401
159
+ - type: recall_at_10
160
+ value: 0.58779
161
+ - type: recall_at_100
162
+ value: 0.8584
163
+ - type: recall_at_1000
164
+ value: 0.97364
165
+ - type: recall_at_20
166
+ value: 0.69061
167
+ - type: recall_at_3
168
+ value: 0.36573
169
+ - type: recall_at_5
170
+ value: 0.47495
171
+ - task:
172
+ type: Retrieval
173
+ dataset:
174
+ name: Miracl (es)
175
+ type: miracl/mmteb-miracl
176
+ config: es
177
+ split: dev
178
+ metrics:
179
+ - type: ndcg_at_1
180
+ value: 0.5571
181
+ - type: ndcg_at_10
182
+ value: 0.49688
183
+ - type: ndcg_at_100
184
+ value: 0.60493
185
+ - type: ndcg_at_1000
186
+ value: 0.62922
187
+ - type: ndcg_at_20
188
+ value: 0.54438
189
+ - type: ndcg_at_3
190
+ value: 0.47981
191
+ - type: ndcg_at_5
192
+ value: 0.46584
193
+ - type: recall_at_1
194
+ value: 0.1638
195
+ - type: recall_at_10
196
+ value: 0.54155
197
+ - type: recall_at_100
198
+ value: 0.85136
199
+ - type: recall_at_1000
200
+ value: 0.96951
201
+ - type: recall_at_20
202
+ value: 0.65329
203
+ - type: recall_at_3
204
+ value: 0.31503
205
+ - type: recall_at_5
206
+ value: 0.40356
207
+ - task:
208
+ type: Retrieval
209
+ dataset:
210
+ name: Miracl (fa)
211
+ type: miracl/mmteb-miracl
212
+ config: fa
213
+ split: dev
214
+ metrics:
215
+ - type: ndcg_at_1
216
+ value: 0.39873
217
+ - type: ndcg_at_10
218
+ value: 0.50226
219
+ - type: ndcg_at_100
220
+ value: 0.56517
221
+ - type: ndcg_at_1000
222
+ value: 0.57967
223
+ - type: ndcg_at_20
224
+ value: 0.5292
225
+ - type: ndcg_at_3
226
+ value: 0.42738
227
+ - type: ndcg_at_5
228
+ value: 0.45843
229
+ - type: recall_at_1
230
+ value: 0.25369
231
+ - type: recall_at_10
232
+ value: 0.63776
233
+ - type: recall_at_100
234
+ value: 0.87686
235
+ - type: recall_at_1000
236
+ value: 0.9671
237
+ - type: recall_at_20
238
+ value: 0.72099
239
+ - type: recall_at_3
240
+ value: 0.43808
241
+ - type: recall_at_5
242
+ value: 0.52378
243
+ - task:
244
+ type: Retrieval
245
+ dataset:
246
+ name: Miracl (fi)
247
+ type: miracl/mmteb-miracl
248
+ config: fi
249
+ split: dev
250
+ metrics:
251
+ - type: ndcg_at_1
252
+ value: 0.60818
253
+ - type: ndcg_at_10
254
+ value: 0.6746
255
+ - type: ndcg_at_100
256
+ value: 0.71516
257
+ - type: ndcg_at_1000
258
+ value: 0.7218
259
+ - type: ndcg_at_20
260
+ value: 0.69692
261
+ - type: ndcg_at_3
262
+ value: 0.6006
263
+ - type: ndcg_at_5
264
+ value: 0.63842
265
+ - type: recall_at_1
266
+ value: 0.39264
267
+ - type: recall_at_10
268
+ value: 0.78577
269
+ - type: recall_at_100
270
+ value: 0.93291
271
+ - type: recall_at_1000
272
+ value: 0.97493
273
+ - type: recall_at_20
274
+ value: 0.85435
275
+ - type: recall_at_3
276
+ value: 0.61055
277
+ - type: recall_at_5
278
+ value: 0.69774
279
+ - task:
280
+ type: Retrieval
281
+ dataset:
282
+ name: Miracl (fr)
283
+ type: miracl/mmteb-miracl
284
+ config: fr
285
+ split: dev
286
+ metrics:
287
+ - type: ndcg_at_1
288
+ value: 0.3965
289
+ - type: ndcg_at_10
290
+ value: 0.49891
291
+ - type: ndcg_at_100
292
+ value: 0.56492
293
+ - type: ndcg_at_1000
294
+ value: 0.57837
295
+ - type: ndcg_at_20
296
+ value: 0.53163
297
+ - type: ndcg_at_3
298
+ value: 0.39843
299
+ - type: ndcg_at_5
300
+ value: 0.44416
301
+ - type: recall_at_1
302
+ value: 0.22644
303
+ - type: recall_at_10
304
+ value: 0.65169
305
+ - type: recall_at_100
306
+ value: 0.89786
307
+ - type: recall_at_1000
308
+ value: 0.98081
309
+ - type: recall_at_20
310
+ value: 0.75338
311
+ - type: recall_at_3
312
+ value: 0.39798
313
+ - type: recall_at_5
314
+ value: 0.51001
315
+ - task:
316
+ type: Retrieval
317
+ dataset:
318
+ name: Miracl (hi)
319
+ type: miracl/mmteb-miracl
320
+ config: hi
321
+ split: dev
322
+ metrics:
323
+ - type: ndcg_at_1
324
+ value: 0.36857
325
+ - type: ndcg_at_10
326
+ value: 0.46141
327
+ - type: ndcg_at_100
328
+ value: 0.52565
329
+ - type: ndcg_at_1000
330
+ value: 0.54319
331
+ - type: ndcg_at_20
332
+ value: 0.49384
333
+ - type: ndcg_at_3
334
+ value: 0.39469
335
+ - type: ndcg_at_5
336
+ value: 0.4184
337
+ - type: recall_at_1
338
+ value: 0.20185
339
+ - type: recall_at_10
340
+ value: 0.59474
341
+ - type: recall_at_100
342
+ value: 0.83385
343
+ - type: recall_at_1000
344
+ value: 0.94813
345
+ - type: recall_at_20
346
+ value: 0.69437
347
+ - type: recall_at_3
348
+ value: 0.38993
349
+ - type: recall_at_5
350
+ value: 0.47881
351
+ - task:
352
+ type: Retrieval
353
+ dataset:
354
+ name: Miracl (id)
355
+ type: miracl/mmteb-miracl
356
+ config: id
357
+ split: dev
358
+ metrics:
359
+ - type: ndcg_at_1
360
+ value: 0.46354
361
+ - type: ndcg_at_10
362
+ value: 0.47229
363
+ - type: ndcg_at_100
364
+ value: 0.5525
365
+ - type: ndcg_at_1000
366
+ value: 0.57648
367
+ - type: ndcg_at_20
368
+ value: 0.50606
369
+ - type: ndcg_at_3
370
+ value: 0.42538
371
+ - type: ndcg_at_5
372
+ value: 0.43717
373
+ - type: recall_at_1
374
+ value: 0.20787
375
+ - type: recall_at_10
376
+ value: 0.54771
377
+ - type: recall_at_100
378
+ value: 0.80689
379
+ - type: recall_at_1000
380
+ value: 0.94032
381
+ - type: recall_at_20
382
+ value: 0.63842
383
+ - type: recall_at_3
384
+ value: 0.36229
385
+ - type: recall_at_5
386
+ value: 0.44437
387
+ - task:
388
+ type: Retrieval
389
+ dataset:
390
+ name: Miracl (ja)
391
+ type: miracl/mmteb-miracl
392
+ config: ja
393
+ split: dev
394
+ metrics:
395
+ - type: ndcg_at_1
396
+ value: 0.56279
397
+ - type: ndcg_at_10
398
+ value: 0.6281
399
+ - type: ndcg_at_100
400
+ value: 0.67757
401
+ - type: ndcg_at_1000
402
+ value: 0.68667
403
+ - type: ndcg_at_20
404
+ value: 0.6521
405
+ - type: ndcg_at_3
406
+ value: 0.56226
407
+ - type: ndcg_at_5
408
+ value: 0.5866
409
+ - type: recall_at_1
410
+ value: 0.36648
411
+ - type: recall_at_10
412
+ value: 0.7496
413
+ - type: recall_at_100
414
+ value: 0.92461
415
+ - type: recall_at_1000
416
+ value: 0.97827
417
+ - type: recall_at_20
418
+ value: 0.82326
419
+ - type: recall_at_3
420
+ value: 0.55845
421
+ - type: recall_at_5
422
+ value: 0.63854
423
+ - task:
424
+ type: Retrieval
425
+ dataset:
426
+ name: Miracl (ko)
427
+ type: miracl/mmteb-miracl
428
+ config: ko
429
+ split: dev
430
+ metrics:
431
+ - type: ndcg_at_1
432
+ value: 0.52582
433
+ - type: ndcg_at_10
434
+ value: 0.59216
435
+ - type: ndcg_at_100
436
+ value: 0.65093
437
+ - type: ndcg_at_1000
438
+ value: 0.66204
439
+ - type: ndcg_at_20
440
+ value: 0.62427
441
+ - type: ndcg_at_3
442
+ value: 0.5373
443
+ - type: ndcg_at_5
444
+ value: 0.55886
445
+ - type: recall_at_1
446
+ value: 0.30521
447
+ - type: recall_at_10
448
+ value: 0.71159
449
+ - type: recall_at_100
450
+ value: 0.90203
451
+ - type: recall_at_1000
452
+ value: 0.96714
453
+ - type: recall_at_20
454
+ value: 0.80209
455
+ - type: recall_at_3
456
+ value: 0.515
457
+ - type: recall_at_5
458
+ value: 0.6071
459
+ - task:
460
+ type: Retrieval
461
+ dataset:
462
+ name: Miracl (ru)
463
+ type: miracl/mmteb-miracl
464
+ config: ru
465
+ split: dev
466
+ metrics:
467
+ - type: ndcg_at_1
468
+ value: 0.47524
469
+ - type: ndcg_at_10
470
+ value: 0.52349
471
+ - type: ndcg_at_100
472
+ value: 0.59725
473
+ - type: ndcg_at_1000
474
+ value: 0.61313
475
+ - type: ndcg_at_20
476
+ value: 0.55669
477
+ - type: ndcg_at_3
478
+ value: 0.46812
479
+ - type: ndcg_at_5
480
+ value: 0.48442
481
+ - type: recall_at_1
482
+ value: 0.24337
483
+ - type: recall_at_10
484
+ value: 0.62437
485
+ - type: recall_at_100
486
+ value: 0.86489
487
+ - type: recall_at_1000
488
+ value: 0.95266
489
+ - type: recall_at_20
490
+ value: 0.71411
491
+ - type: recall_at_3
492
+ value: 0.42927
493
+ - type: recall_at_5
494
+ value: 0.51258
495
+ - task:
496
+ type: Retrieval
497
+ dataset:
498
+ name: Miracl (sw)
499
+ type: miracl/mmteb-miracl
500
+ config: sw
501
+ split: dev
502
+ metrics:
503
+ - type: ndcg_at_1
504
+ value: 0.5166
505
+ - type: ndcg_at_10
506
+ value: 0.61271
507
+ - type: ndcg_at_100
508
+ value: 0.66099
509
+ - type: ndcg_at_1000
510
+ value: 0.66867
511
+ - type: ndcg_at_20
512
+ value: 0.63643
513
+ - type: ndcg_at_3
514
+ value: 0.54828
515
+ - type: ndcg_at_5
516
+ value: 0.57382
517
+ - type: recall_at_1
518
+ value: 0.35277
519
+ - type: recall_at_10
520
+ value: 0.74368
521
+ - type: recall_at_100
522
+ value: 0.92261
523
+ - type: recall_at_1000
524
+ value: 0.97109
525
+ - type: recall_at_20
526
+ value: 0.81888
527
+ - type: recall_at_3
528
+ value: 0.56739
529
+ - type: recall_at_5
530
+ value: 0.6421
531
+ - task:
532
+ type: Retrieval
533
+ dataset:
534
+ name: Miracl (te)
535
+ type: miracl/mmteb-miracl
536
+ config: te
537
+ split: dev
538
+ metrics:
539
+ - type: ndcg_at_1
540
+ value: 0.63768
541
+ - type: ndcg_at_10
542
+ value: 0.79193
543
+ - type: ndcg_at_100
544
+ value: 0.80243
545
+ - type: ndcg_at_1000
546
+ value: 0.80438
547
+ - type: ndcg_at_20
548
+ value: 0.79549
549
+ - type: ndcg_at_3
550
+ value: 0.76031
551
+ - type: ndcg_at_5
552
+ value: 0.77915
553
+ - type: recall_at_1
554
+ value: 0.63084
555
+ - type: recall_at_10
556
+ value: 0.92411
557
+ - type: recall_at_100
558
+ value: 0.97363
559
+ - type: recall_at_1000
560
+ value: 0.98833
561
+ - type: recall_at_20
562
+ value: 0.9374
563
+ - type: recall_at_3
564
+ value: 0.84159
565
+ - type: recall_at_5
566
+ value: 0.88627
567
+ - task:
568
+ type: Retrieval
569
+ dataset:
570
+ name: Miracl (th)
571
+ type: miracl/mmteb-miracl
572
+ config: th
573
+ split: dev
574
+ metrics:
575
+ - type: ndcg_at_1
576
+ value: 0.66712
577
+ - type: ndcg_at_10
578
+ value: 0.73324
579
+ - type: ndcg_at_100
580
+ value: 0.76633
581
+ - type: ndcg_at_1000
582
+ value: 0.77119
583
+ - type: ndcg_at_20
584
+ value: 0.75243
585
+ - type: ndcg_at_3
586
+ value: 0.67393
587
+ - type: ndcg_at_5
588
+ value: 0.70201
589
+ - type: recall_at_1
590
+ value: 0.47106
591
+ - type: recall_at_10
592
+ value: 0.84294
593
+ - type: recall_at_100
594
+ value: 0.95949
595
+ - type: recall_at_1000
596
+ value: 0.98874
597
+ - type: recall_at_20
598
+ value: 0.90085
599
+ - type: recall_at_3
600
+ value: 0.68456
601
+ - type: recall_at_5
602
+ value: 0.75915
603
+ - task:
604
+ type: Retrieval
605
+ dataset:
606
+ name: Miracl (yo)
607
+ type: miracl/mmteb-miracl
608
+ config: yo
609
+ split: dev
610
+ metrics:
611
+ - type: ndcg_at_1
612
+ value: 0.4958
613
+ - type: ndcg_at_10
614
+ value: 0.68705
615
+ - type: ndcg_at_100
616
+ value: 0.70664
617
+ - type: ndcg_at_1000
618
+ value: 0.71197
619
+ - type: ndcg_at_20
620
+ value: 0.698
621
+ - type: ndcg_at_3
622
+ value: 0.64793
623
+ - type: ndcg_at_5
624
+ value: 0.66709
625
+ - type: recall_at_1
626
+ value: 0.46289
627
+ - type: recall_at_10
628
+ value: 0.85154
629
+ - type: recall_at_100
630
+ value: 0.93557
631
+ - type: recall_at_1000
632
+ value: 0.97479
633
+ - type: recall_at_20
634
+ value: 0.89076
635
+ - type: recall_at_3
636
+ value: 0.7507
637
+ - type: recall_at_5
638
+ value: 0.79202
639
+ - task:
640
+ type: Retrieval
641
+ dataset:
642
+ name: Miracl (zh)
643
+ type: miracl/mmteb-miracl
644
+ config: zh
645
+ split: dev
646
+ metrics:
647
+ - type: ndcg_at_1
648
+ value: 0.47583
649
+ - type: ndcg_at_10
650
+ value: 0.52553
651
+ - type: ndcg_at_100
652
+ value: 0.6
653
+ - type: ndcg_at_1000
654
+ value: 0.61415
655
+ - type: ndcg_at_20
656
+ value: 0.55668
657
+ - type: ndcg_at_3
658
+ value: 0.45839
659
+ - type: ndcg_at_5
660
+ value: 0.48127
661
+ - type: recall_at_1
662
+ value: 0.24488
663
+ - type: recall_at_10
664
+ value: 0.63659
665
+ - type: recall_at_100
666
+ value: 0.89702
667
+ - type: recall_at_1000
668
+ value: 0.97996
669
+ - type: recall_at_20
670
+ value: 0.72652
671
+ - type: recall_at_3
672
+ value: 0.42827
673
+ - type: recall_at_5
674
+ value: 0.52081
675
  ---
676
 
677
  ## Llamacpp Static Quantizations of granite-embedding-278m-multilingual