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1
  ---
2
  quantized_by: bartowski
3
  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  ---
5
 
6
  ## Llamacpp Static Quantizations of granite-embedding-107m-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-107m-multilingual
24
+ model-index:
25
+ - name: ibm-granite/granite-embedding-107m-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: 0.41176
37
+ - type: ndcg_at_10
38
+ value: 0.46682
39
+ - type: ndcg_at_100
40
+ value: 0.54326
41
+ - type: ndcg_at_1000
42
+ value: 0.56567
43
+ - type: ndcg_at_20
44
+ value: 0.50157
45
+ - type: ndcg_at_3
46
+ value: 0.41197
47
+ - type: ndcg_at_5
48
+ value: 0.42086
49
+ - type: recall_at_1
50
+ value: 0.19322
51
+ - type: recall_at_10
52
+ value: 0.57721
53
+ - type: recall_at_100
54
+ value: 0.83256
55
+ - type: recall_at_1000
56
+ value: 0.95511
57
+ - type: recall_at_20
58
+ value: 0.6757
59
+ - type: recall_at_3
60
+ value: 0.37171
61
+ - type: recall_at_5
62
+ value: 0.44695
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: 0.55559
73
+ - type: ndcg_at_10
74
+ value: 0.62541
75
+ - type: ndcg_at_100
76
+ value: 0.67101
77
+ - type: ndcg_at_1000
78
+ value: 0.6805
79
+ - type: ndcg_at_20
80
+ value: 0.64739
81
+ - type: ndcg_at_3
82
+ value: 0.56439
83
+ - type: ndcg_at_5
84
+ value: 0.59347
85
+ - type: recall_at_1
86
+ value: 0.37009
87
+ - type: recall_at_10
88
+ value: 0.73317
89
+ - type: recall_at_100
90
+ value: 0.90066
91
+ - type: recall_at_1000
92
+ value: 0.96272
93
+ - type: recall_at_20
94
+ value: 0.80205
95
+ - type: recall_at_3
96
+ value: 0.56903
97
+ - type: recall_at_5
98
+ value: 0.6518
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: 0.56691
109
+ - type: ndcg_at_10
110
+ value: 0.65484
111
+ - type: ndcg_at_100
112
+ value: 0.70142
113
+ - type: ndcg_at_1000
114
+ value: 0.70994
115
+ - type: ndcg_at_20
116
+ value: 0.67838
117
+ - type: ndcg_at_3
118
+ value: 0.5988
119
+ - type: ndcg_at_5
120
+ value: 0.62718
121
+ - type: recall_at_1
122
+ value: 0.3605
123
+ - type: recall_at_10
124
+ value: 0.76854
125
+ - type: recall_at_100
126
+ value: 0.9285
127
+ - type: recall_at_1000
128
+ value: 0.97928
129
+ - type: recall_at_20
130
+ value: 0.83667
131
+ - type: recall_at_3
132
+ value: 0.61596
133
+ - type: recall_at_5
134
+ value: 0.69766
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: 0.41967
145
+ - type: ndcg_at_10
146
+ value: 0.45141
147
+ - type: ndcg_at_100
148
+ value: 0.53461
149
+ - type: ndcg_at_1000
150
+ value: 0.55463
151
+ - type: ndcg_at_20
152
+ value: 0.49012
153
+ - type: ndcg_at_3
154
+ value: 0.39486
155
+ - type: ndcg_at_5
156
+ value: 0.41496
157
+ - type: recall_at_1
158
+ value: 0.19494
159
+ - type: recall_at_10
160
+ value: 0.53774
161
+ - type: recall_at_100
162
+ value: 0.83314
163
+ - type: recall_at_1000
164
+ value: 0.95045
165
+ - type: recall_at_20
166
+ value: 0.65659
167
+ - type: recall_at_3
168
+ value: 0.3556
169
+ - type: recall_at_5
170
+ value: 0.44448
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: 0.54475
181
+ - type: ndcg_at_10
182
+ value: 0.46593
183
+ - type: ndcg_at_100
184
+ value: 0.58079
185
+ - type: ndcg_at_1000
186
+ value: 0.60656
187
+ - type: ndcg_at_20
188
+ value: 0.51858
189
+ - type: ndcg_at_3
190
+ value: 0.4578
191
+ - type: ndcg_at_5
192
+ value: 0.44321
193
+ - type: recall_at_1
194
+ value: 0.15966
195
+ - type: recall_at_10
196
+ value: 0.49343
197
+ - type: recall_at_100
198
+ value: 0.82684
199
+ - type: recall_at_1000
200
+ value: 0.95299
201
+ - type: recall_at_20
202
+ value: 0.62367
203
+ - type: recall_at_3
204
+ value: 0.2949
205
+ - type: recall_at_5
206
+ value: 0.37983
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: 0.36709
217
+ - type: ndcg_at_10
218
+ value: 0.46961
219
+ - type: ndcg_at_100
220
+ value: 0.53262
221
+ - type: ndcg_at_1000
222
+ value: 0.55024
223
+ - type: ndcg_at_20
224
+ value: 0.49892
225
+ - type: ndcg_at_3
226
+ value: 0.40235
227
+ - type: ndcg_at_5
228
+ value: 0.42866
229
+ - type: recall_at_1
230
+ value: 0.22735
231
+ - type: recall_at_10
232
+ value: 0.59949
233
+ - type: recall_at_100
234
+ value: 0.83867
235
+ - type: recall_at_1000
236
+ value: 0.95007
237
+ - type: recall_at_20
238
+ value: 0.68947
239
+ - type: recall_at_3
240
+ value: 0.41781
241
+ - type: recall_at_5
242
+ value: 0.49374
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: 0.59245
253
+ - type: ndcg_at_10
254
+ value: 0.65551
255
+ - type: ndcg_at_100
256
+ value: 0.6967
257
+ - type: ndcg_at_1000
258
+ value: 0.70521
259
+ - type: ndcg_at_20
260
+ value: 0.67552
261
+ - type: ndcg_at_3
262
+ value: 0.58876
263
+ - type: ndcg_at_5
264
+ value: 0.61779
265
+ - type: recall_at_1
266
+ value: 0.37669
267
+ - type: recall_at_10
268
+ value: 0.76529
269
+ - type: recall_at_100
270
+ value: 0.9156
271
+ - type: recall_at_1000
272
+ value: 0.96977
273
+ - type: recall_at_20
274
+ value: 0.82685
275
+ - type: recall_at_3
276
+ value: 0.60234
277
+ - type: recall_at_5
278
+ value: 0.67135
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: 0.38776
289
+ - type: ndcg_at_10
290
+ value: 0.47589
291
+ - type: ndcg_at_100
292
+ value: 0.54641
293
+ - type: ndcg_at_1000
294
+ value: 0.5629
295
+ - type: ndcg_at_20
296
+ value: 0.51203
297
+ - type: ndcg_at_3
298
+ value: 0.38924
299
+ - type: ndcg_at_5
300
+ value: 0.42572
301
+ - type: recall_at_1
302
+ value: 0.22082
303
+ - type: recall_at_10
304
+ value: 0.61619
305
+ - type: recall_at_100
306
+ value: 0.87237
307
+ - type: recall_at_1000
308
+ value: 0.97449
309
+ - type: recall_at_20
310
+ value: 0.72689
311
+ - type: recall_at_3
312
+ value: 0.39527
313
+ - type: recall_at_5
314
+ value: 0.48983
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: 0.33143
325
+ - type: ndcg_at_10
326
+ value: 0.42084
327
+ - type: ndcg_at_100
328
+ value: 0.48647
329
+ - type: ndcg_at_1000
330
+ value: 0.50712
331
+ - type: ndcg_at_20
332
+ value: 0.45399
333
+ - type: ndcg_at_3
334
+ value: 0.34988
335
+ - type: ndcg_at_5
336
+ value: 0.37938
337
+ - type: recall_at_1
338
+ value: 0.17852
339
+ - type: recall_at_10
340
+ value: 0.55217
341
+ - type: recall_at_100
342
+ value: 0.79929
343
+ - type: recall_at_1000
344
+ value: 0.93434
345
+ - type: recall_at_20
346
+ value: 0.65231
347
+ - type: recall_at_3
348
+ value: 0.33765
349
+ - type: recall_at_5
350
+ value: 0.43828
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: 0.43854
361
+ - type: ndcg_at_10
362
+ value: 0.45459
363
+ - type: ndcg_at_100
364
+ value: 0.53643
365
+ - type: ndcg_at_1000
366
+ value: 0.56052
367
+ - type: ndcg_at_20
368
+ value: 0.48795
369
+ - type: ndcg_at_3
370
+ value: 0.41041
371
+ - type: ndcg_at_5
372
+ value: 0.42235
373
+ - type: recall_at_1
374
+ value: 0.19193
375
+ - type: recall_at_10
376
+ value: 0.5289
377
+ - type: recall_at_100
378
+ value: 0.79649
379
+ - type: recall_at_1000
380
+ value: 0.92937
381
+ - type: recall_at_20
382
+ value: 0.61813
383
+ - type: recall_at_3
384
+ value: 0.35431
385
+ - type: recall_at_5
386
+ value: 0.43348
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: 0.53256
397
+ - type: ndcg_at_10
398
+ value: 0.59922
399
+ - type: ndcg_at_100
400
+ value: 0.65407
401
+ - type: ndcg_at_1000
402
+ value: 0.66484
403
+ - type: ndcg_at_20
404
+ value: 0.62596
405
+ - type: ndcg_at_3
406
+ value: 0.53717
407
+ - type: ndcg_at_5
408
+ value: 0.56523
409
+ - type: recall_at_1
410
+ value: 0.34555
411
+ - type: recall_at_10
412
+ value: 0.71476
413
+ - type: recall_at_100
414
+ value: 0.91152
415
+ - type: recall_at_1000
416
+ value: 0.97728
417
+ - type: recall_at_20
418
+ value: 0.79811
419
+ - type: recall_at_3
420
+ value: 0.53482
421
+ - type: recall_at_5
422
+ value: 0.62327
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: 0.5493
433
+ - type: ndcg_at_10
434
+ value: 0.58413
435
+ - type: ndcg_at_100
436
+ value: 0.64374
437
+ - type: ndcg_at_1000
438
+ value: 0.65655
439
+ - type: ndcg_at_20
440
+ value: 0.61732
441
+ - type: ndcg_at_3
442
+ value: 0.53068
443
+ - type: ndcg_at_5
444
+ value: 0.55202
445
+ - type: recall_at_1
446
+ value: 0.32602
447
+ - type: recall_at_10
448
+ value: 0.68647
449
+ - type: recall_at_100
450
+ value: 0.87746
451
+ - type: recall_at_1000
452
+ value: 0.95524
453
+ - type: recall_at_20
454
+ value: 0.78089
455
+ - type: recall_at_3
456
+ value: 0.49173
457
+ - type: recall_at_5
458
+ value: 0.5827
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: 0.43131
469
+ - type: ndcg_at_10
470
+ value: 0.48262
471
+ - type: ndcg_at_100
472
+ value: 0.56158
473
+ - type: ndcg_at_1000
474
+ value: 0.57929
475
+ - type: ndcg_at_20
476
+ value: 0.52023
477
+ - type: ndcg_at_3
478
+ value: 0.42808
479
+ - type: ndcg_at_5
480
+ value: 0.44373
481
+ - type: recall_at_1
482
+ value: 0.22018
483
+ - type: recall_at_10
484
+ value: 0.58034
485
+ - type: recall_at_100
486
+ value: 0.84074
487
+ - type: recall_at_1000
488
+ value: 0.93938
489
+ - type: recall_at_20
490
+ value: 0.68603
491
+ - type: recall_at_3
492
+ value: 0.39307
493
+ - type: recall_at_5
494
+ value: 0.47077
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: 0.50415
505
+ - type: ndcg_at_10
506
+ value: 0.59111
507
+ - type: ndcg_at_100
508
+ value: 0.64312
509
+ - type: ndcg_at_1000
510
+ value: 0.65089
511
+ - type: ndcg_at_20
512
+ value: 0.61651
513
+ - type: ndcg_at_3
514
+ value: 0.5304
515
+ - type: ndcg_at_5
516
+ value: 0.56139
517
+ - type: recall_at_1
518
+ value: 0.33267
519
+ - type: recall_at_10
520
+ value: 0.72082
521
+ - type: recall_at_100
522
+ value: 0.91377
523
+ - type: recall_at_1000
524
+ value: 0.96152
525
+ - type: recall_at_20
526
+ value: 0.79943
527
+ - type: recall_at_3
528
+ value: 0.5548
529
+ - type: recall_at_5
530
+ value: 0.64302
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: 0.64372
541
+ - type: ndcg_at_10
542
+ value: 0.78175
543
+ - type: ndcg_at_100
544
+ value: 0.79523
545
+ - type: ndcg_at_1000
546
+ value: 0.79774
547
+ - type: ndcg_at_20
548
+ value: 0.78826
549
+ - type: ndcg_at_3
550
+ value: 0.74856
551
+ - type: ndcg_at_5
552
+ value: 0.77128
553
+ - type: recall_at_1
554
+ value: 0.63688
555
+ - type: recall_at_10
556
+ value: 0.90358
557
+ - type: recall_at_100
558
+ value: 0.96558
559
+ - type: recall_at_1000
560
+ value: 0.9847
561
+ - type: recall_at_20
562
+ value: 0.92834
563
+ - type: recall_at_3
564
+ value: 0.81804
565
+ - type: recall_at_5
566
+ value: 0.87198
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: 0.65484
577
+ - type: ndcg_at_10
578
+ value: 0.71774
579
+ - type: ndcg_at_100
580
+ value: 0.75362
581
+ - type: ndcg_at_1000
582
+ value: 0.75898
583
+ - type: ndcg_at_20
584
+ value: 0.73709
585
+ - type: ndcg_at_3
586
+ value: 0.66199
587
+ - type: ndcg_at_5
588
+ value: 0.68451
589
+ - type: recall_at_1
590
+ value: 0.45911
591
+ - type: recall_at_10
592
+ value: 0.82619
593
+ - type: recall_at_100
594
+ value: 0.95515
595
+ - type: recall_at_1000
596
+ value: 0.98854
597
+ - type: recall_at_20
598
+ value: 0.88447
599
+ - type: recall_at_3
600
+ value: 0.67437
601
+ - type: recall_at_5
602
+ value: 0.73786
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: 0.46218
613
+ - type: ndcg_at_10
614
+ value: 0.64685
615
+ - type: ndcg_at_100
616
+ value: 0.66941
617
+ - type: ndcg_at_1000
618
+ value: 0.67361
619
+ - type: ndcg_at_20
620
+ value: 0.65548
621
+ - type: ndcg_at_3
622
+ value: 0.57609
623
+ - type: ndcg_at_5
624
+ value: 0.62021
625
+ - type: recall_at_1
626
+ value: 0.42787
627
+ - type: recall_at_10
628
+ value: 0.82913
629
+ - type: recall_at_100
630
+ value: 0.93277
631
+ - type: recall_at_1000
632
+ value: 0.96499
633
+ - type: recall_at_20
634
+ value: 0.85994
635
+ - type: recall_at_3
636
+ value: 0.65406
637
+ - type: recall_at_5
638
+ value: 0.7542
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: 0.41985
649
+ - type: ndcg_at_10
650
+ value: 0.4837
651
+ - type: ndcg_at_100
652
+ value: 0.55961
653
+ - type: ndcg_at_1000
654
+ value: 0.5762
655
+ - type: ndcg_at_20
656
+ value: 0.51595
657
+ - type: ndcg_at_3
658
+ value: 0.42094
659
+ - type: ndcg_at_5
660
+ value: 0.44273
661
+ - type: recall_at_1
662
+ value: 0.21446
663
+ - type: recall_at_10
664
+ value: 0.59695
665
+ - type: recall_at_100
666
+ value: 0.87388
667
+ - type: recall_at_1000
668
+ value: 0.96833
669
+ - type: recall_at_20
670
+ value: 0.69252
671
+ - type: recall_at_3
672
+ value: 0.40377
673
+ - type: recall_at_5
674
+ value: 0.4903
675
  ---
676
 
677
  ## Llamacpp Static Quantizations of granite-embedding-107m-multilingual