metadata
quantized_by: bartowski
pipeline_tag: text-generation
language:
- en
tags:
- language
- granite
- embeddings
license: apache-2.0
base_model: ibm-granite/granite-embedding-125m-english
model-index:
- name: ibm-granite/granite-embedding-125m-english
results:
- task:
type: Retrieval
dataset:
name: MTEB ArguaAna
type: mteb/arguana
config: default
split: test
metrics:
- type: map_at_1
value: 0.33642
- type: map_at_10
value: 0.49716
- type: map_at_100
value: 0.50519
- type: map_at_1000
value: 0.50521
- type: map_at_3
value: 0.45057
- type: map_at_5
value: 0.47774
- type: mrr_at_1
value: 0.34922
- type: mrr_at_10
value: 0.50197
- type: mrr_at_100
value: 0.50992
- type: mrr_at_1000
value: 0.50994
- type: mrr_at_3
value: 0.45484
- type: mrr_at_5
value: 0.48272
- type: ndcg_at_1
value: 0.33642
- type: ndcg_at_10
value: 0.58401
- type: ndcg_at_100
value: 0.6157
- type: ndcg_at_1000
value: 0.61608
- type: ndcg_at_3
value: 0.48825
- type: ndcg_at_5
value: 0.53689
- type: precision_at_1
value: 0.33642
- type: precision_at_10
value: 0.08606
- type: precision_at_100
value: 0.00994
- type: precision_at_1000
value: 0.001
- type: precision_at_3
value: 0.19915
- type: precision_at_5
value: 0.14296
- type: recall_at_1
value: 0.33642
- type: recall_at_10
value: 0.8606
- type: recall_at_100
value: 0.9936
- type: recall_at_1000
value: 0.99644
- type: recall_at_3
value: 0.59744
- type: recall_at_5
value: 0.71479
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: mteb/climate-fever
config: default
split: test
metrics:
- type: map_at_1
value: 0.1457
- type: map_at_10
value: 0.24102
- type: map_at_100
value: 0.25826
- type: map_at_1000
value: 0.26021
- type: map_at_3
value: 0.20346
- type: map_at_5
value: 0.22228
- type: mrr_at_1
value: 0.32573
- type: mrr_at_10
value: 0.44411
- type: mrr_at_100
value: 0.45176
- type: mrr_at_1000
value: 0.45209
- type: mrr_at_3
value: 0.4126
- type: mrr_at_5
value: 0.43312
- type: ndcg_at_1
value: 0.32573
- type: ndcg_at_10
value: 0.3315
- type: ndcg_at_100
value: 0.39898
- type: ndcg_at_1000
value: 0.43151
- type: ndcg_at_3
value: 0.27683
- type: ndcg_at_5
value: 0.29538
- type: precision_at_1
value: 0.32573
- type: precision_at_10
value: 0.10176
- type: precision_at_100
value: 0.01754
- type: precision_at_1000
value: 0.00236
- type: precision_at_3
value: 0.20347
- type: precision_at_5
value: 0.15505
- type: recall_at_1
value: 0.1457
- type: recall_at_10
value: 0.38825
- type: recall_at_100
value: 0.62237
- type: recall_at_1000
value: 0.8022
- type: recall_at_3
value: 0.25245
- type: recall_at_5
value: 0.30821
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: mteb/cqadupstack-android
config: default
split: test
metrics:
- type: map_at_1
value: 0.36964
- type: map_at_10
value: 0.5043
- type: map_at_100
value: 0.52066
- type: map_at_1000
value: 0.52175
- type: map_at_3
value: 0.46001
- type: map_at_5
value: 0.48312
- type: mrr_at_1
value: 0.45923
- type: mrr_at_10
value: 0.56733
- type: mrr_at_100
value: 0.57292
- type: mrr_at_1000
value: 0.57321
- type: mrr_at_3
value: 0.54053
- type: mrr_at_5
value: 0.55556
- type: ndcg_at_1
value: 0.45923
- type: ndcg_at_10
value: 0.57667
- type: ndcg_at_100
value: 0.62373
- type: ndcg_at_1000
value: 0.6368
- type: ndcg_at_3
value: 0.51843
- type: ndcg_at_5
value: 0.54257
- type: precision_at_1
value: 0.45923
- type: precision_at_10
value: 0.11316
- type: precision_at_100
value: 0.01705
- type: precision_at_1000
value: 0.00216
- type: precision_at_3
value: 0.2537
- type: precision_at_5
value: 0.1814
- type: recall_at_1
value: 0.36964
- type: recall_at_10
value: 0.71234
- type: recall_at_100
value: 0.90421
- type: recall_at_1000
value: 0.98296
- type: recall_at_3
value: 0.53655
- type: recall_at_5
value: 0.60996
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackEnglishRetrieval
type: mteb/cqadupstack-english
config: default
split: test
metrics:
- type: map_at_1
value: 0.36198
- type: map_at_10
value: 0.49199
- type: map_at_100
value: 0.50602
- type: map_at_1000
value: 0.50736
- type: map_at_3
value: 0.45678
- type: map_at_5
value: 0.47605
- type: mrr_at_1
value: 0.45478
- type: mrr_at_10
value: 0.55075
- type: mrr_at_100
value: 0.55656
- type: mrr_at_1000
value: 0.55688
- type: mrr_at_3
value: 0.52887
- type: mrr_at_5
value: 0.54282
- type: ndcg_at_1
value: 0.45478
- type: ndcg_at_10
value: 0.55505
- type: ndcg_at_100
value: 0.59606
- type: ndcg_at_1000
value: 0.61255
- type: ndcg_at_3
value: 0.51124
- type: ndcg_at_5
value: 0.53166
- type: precision_at_1
value: 0.45478
- type: precision_at_10
value: 0.10752
- type: precision_at_100
value: 0.01666
- type: precision_at_1000
value: 0.00211
- type: precision_at_3
value: 0.25053
- type: precision_at_5
value: 0.17694
- type: recall_at_1
value: 0.36198
- type: recall_at_10
value: 0.66465
- type: recall_at_100
value: 0.83632
- type: recall_at_1000
value: 0.93276
- type: recall_at_3
value: 0.53207
- type: recall_at_5
value: 0.59169
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGamingRetrieval
type: mteb/cqadupstack-gaming
config: default
split: test
metrics:
- type: map_at_1
value: 0.44157
- type: map_at_10
value: 0.57753
- type: map_at_100
value: 0.58698
- type: map_at_1000
value: 0.5874
- type: map_at_3
value: 0.54223
- type: map_at_5
value: 0.56307
- type: mrr_at_1
value: 0.50094
- type: mrr_at_10
value: 0.607
- type: mrr_at_100
value: 0.6126
- type: mrr_at_1000
value: 0.6128
- type: mrr_at_3
value: 0.58265
- type: mrr_at_5
value: 0.59817
- type: ndcg_at_1
value: 0.50094
- type: ndcg_at_10
value: 0.63641
- type: ndcg_at_100
value: 0.67055
- type: ndcg_at_1000
value: 0.67855
- type: ndcg_at_3
value: 0.58022
- type: ndcg_at_5
value: 0.6097
- type: precision_at_1
value: 0.50094
- type: precision_at_10
value: 0.10182
- type: precision_at_100
value: 0.01278
- type: precision_at_1000
value: 0.00138
- type: precision_at_3
value: 0.2581
- type: precision_at_5
value: 0.17755
- type: recall_at_1
value: 0.44157
- type: recall_at_10
value: 0.7778
- type: recall_at_100
value: 0.92244
- type: recall_at_1000
value: 0.9781
- type: recall_at_3
value: 0.63087
- type: recall_at_5
value: 0.70172
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGisRetrieval
type: mteb/cqadupstack-gis
config: default
split: test
metrics:
- type: map_at_1
value: 0.29532
- type: map_at_10
value: 0.40214
- type: map_at_100
value: 0.41289
- type: map_at_1000
value: 0.41359
- type: map_at_3
value: 0.37086
- type: map_at_5
value: 0.38889
- type: mrr_at_1
value: 0.3209
- type: mrr_at_10
value: 0.42423
- type: mrr_at_100
value: 0.43342
- type: mrr_at_1000
value: 0.43395
- type: mrr_at_3
value: 0.39736
- type: mrr_at_5
value: 0.41307
- type: ndcg_at_1
value: 0.3209
- type: ndcg_at_10
value: 0.46075
- type: ndcg_at_100
value: 0.5103
- type: ndcg_at_1000
value: 0.52668
- type: ndcg_at_3
value: 0.40149
- type: ndcg_at_5
value: 0.43111
- type: precision_at_1
value: 0.3209
- type: precision_at_10
value: 0.07141
- type: precision_at_100
value: 0.01018
- type: precision_at_1000
value: 0.00118
- type: precision_at_3
value: 0.17175
- type: precision_at_5
value: 0.12068
- type: recall_at_1
value: 0.29532
- type: recall_at_10
value: 0.62025
- type: recall_at_100
value: 0.83829
- type: recall_at_1000
value: 0.95995
- type: recall_at_3
value: 0.4603
- type: recall_at_5
value: 0.53089
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackMathematicaRetrieval
type: mteb/cqadupstack-mathematica
config: default
split: test
metrics:
- type: map_at_1
value: 0.18944
- type: map_at_10
value: 0.29611
- type: map_at_100
value: 0.31063
- type: map_at_1000
value: 0.31174
- type: map_at_3
value: 0.26098
- type: map_at_5
value: 0.28151
- type: mrr_at_1
value: 0.23756
- type: mrr_at_10
value: 0.34491
- type: mrr_at_100
value: 0.35457
- type: mrr_at_1000
value: 0.35512
- type: mrr_at_3
value: 0.3126
- type: mrr_at_5
value: 0.3317
- type: ndcg_at_1
value: 0.23756
- type: ndcg_at_10
value: 0.36015
- type: ndcg_at_100
value: 0.42175
- type: ndcg_at_1000
value: 0.44607
- type: ndcg_at_3
value: 0.29725
- type: ndcg_at_5
value: 0.32879
- type: precision_at_1
value: 0.23756
- type: precision_at_10
value: 0.06928
- type: precision_at_100
value: 0.01153
- type: precision_at_1000
value: 0.00149
- type: precision_at_3
value: 0.14635
- type: precision_at_5
value: 0.1107
- type: recall_at_1
value: 0.18944
- type: recall_at_10
value: 0.50691
- type: recall_at_100
value: 0.76503
- type: recall_at_1000
value: 0.93624
- type: recall_at_3
value: 0.33611
- type: recall_at_5
value: 0.41427
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackPhysicsRetrieval
type: mteb/cqadupstack-physics
config: default
split: test
metrics:
- type: map_at_1
value: 0.33824
- type: map_at_10
value: 0.46868
- type: map_at_100
value: 0.48306
- type: map_at_1000
value: 0.48406
- type: map_at_3
value: 0.43335
- type: map_at_5
value: 0.45279
- type: mrr_at_1
value: 0.42348
- type: mrr_at_10
value: 0.52972
- type: mrr_at_100
value: 0.53707
- type: mrr_at_1000
value: 0.53734
- type: mrr_at_3
value: 0.50722
- type: mrr_at_5
value: 0.52012
- type: ndcg_at_1
value: 0.42348
- type: ndcg_at_10
value: 0.53504
- type: ndcg_at_100
value: 0.58899
- type: ndcg_at_1000
value: 0.60323
- type: ndcg_at_3
value: 0.48478
- type: ndcg_at_5
value: 0.5079
- type: precision_at_1
value: 0.42348
- type: precision_at_10
value: 0.0975
- type: precision_at_100
value: 0.01466
- type: precision_at_1000
value: 0.00177
- type: precision_at_3
value: 0.23741
- type: precision_at_5
value: 0.16439
- type: recall_at_1
value: 0.33824
- type: recall_at_10
value: 0.67142
- type: recall_at_100
value: 0.89134
- type: recall_at_1000
value: 0.97816
- type: recall_at_3
value: 0.52305
- type: recall_at_5
value: 0.58804
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackProgrammersRetrieval
type: mteb/cqadupstack-programmers
config: default
split: test
metrics:
- type: map_at_1
value: 0.30125
- type: map_at_10
value: 0.42119
- type: map_at_100
value: 0.43599
- type: map_at_1000
value: 0.4369
- type: map_at_3
value: 0.38018
- type: map_at_5
value: 0.40368
- type: mrr_at_1
value: 0.37557
- type: mrr_at_10
value: 0.47573
- type: mrr_at_100
value: 0.4846
- type: mrr_at_1000
value: 0.48499
- type: mrr_at_3
value: 0.44654
- type: mrr_at_5
value: 0.4644
- type: ndcg_at_1
value: 0.37557
- type: ndcg_at_10
value: 0.48743
- type: ndcg_at_100
value: 0.54458
- type: ndcg_at_1000
value: 0.56076
- type: ndcg_at_3
value: 0.42573
- type: ndcg_at_5
value: 0.45528
- type: precision_at_1
value: 0.37557
- type: precision_at_10
value: 0.09269
- type: precision_at_100
value: 0.01401
- type: precision_at_1000
value: 0.0017
- type: precision_at_3
value: 0.20624
- type: precision_at_5
value: 0.15068
- type: recall_at_1
value: 0.30125
- type: recall_at_10
value: 0.62619
- type: recall_at_100
value: 0.86574
- type: recall_at_1000
value: 0.97102
- type: recall_at_3
value: 0.45437
- type: recall_at_5
value: 0.53197
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackStatsRetrieval
type: mteb/cqadupstack-stats
config: default
split: test
metrics:
- type: map_at_1
value: 0.29193
- type: map_at_10
value: 0.37529
- type: map_at_100
value: 0.38614
- type: map_at_1000
value: 0.38714
- type: map_at_3
value: 0.34897
- type: map_at_5
value: 0.36273
- type: mrr_at_1
value: 0.32669
- type: mrr_at_10
value: 0.40288
- type: mrr_at_100
value: 0.41177
- type: mrr_at_1000
value: 0.41241
- type: mrr_at_3
value: 0.38037
- type: mrr_at_5
value: 0.39195
- type: ndcg_at_1
value: 0.32669
- type: ndcg_at_10
value: 0.42353
- type: ndcg_at_100
value: 0.47424
- type: ndcg_at_1000
value: 0.4959
- type: ndcg_at_3
value: 0.37604
- type: ndcg_at_5
value: 0.39682
- type: precision_at_1
value: 0.32669
- type: precision_at_10
value: 0.06871
- type: precision_at_100
value: 0.01008
- type: precision_at_1000
value: 0.00126
- type: precision_at_3
value: 0.16309
- type: precision_at_5
value: 0.11288
- type: recall_at_1
value: 0.29193
- type: recall_at_10
value: 0.54159
- type: recall_at_100
value: 0.77267
- type: recall_at_1000
value: 0.92805
- type: recall_at_3
value: 0.41014
- type: recall_at_5
value: 0.46248
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackTexRetrieval
type: mteb/cqadupstack-tex
config: default
split: test
metrics:
- type: map_at_1
value: 0.21217
- type: map_at_10
value: 0.30848
- type: map_at_100
value: 0.32173
- type: map_at_1000
value: 0.32296
- type: map_at_3
value: 0.27882
- type: map_at_5
value: 0.29537
- type: mrr_at_1
value: 0.25946
- type: mrr_at_10
value: 0.35091
- type: mrr_at_100
value: 0.36047
- type: mrr_at_1000
value: 0.36111
- type: mrr_at_3
value: 0.32485
- type: mrr_at_5
value: 0.33964
- type: ndcg_at_1
value: 0.25946
- type: ndcg_at_10
value: 0.3655
- type: ndcg_at_100
value: 0.42328
- type: ndcg_at_1000
value: 0.44783
- type: ndcg_at_3
value: 0.31463
- type: ndcg_at_5
value: 0.33803
- type: precision_at_1
value: 0.25946
- type: precision_at_10
value: 0.06793
- type: precision_at_100
value: 0.01138
- type: precision_at_1000
value: 0.00155
- type: precision_at_3
value: 0.1513
- type: precision_at_5
value: 0.10991
- type: recall_at_1
value: 0.21217
- type: recall_at_10
value: 0.49327
- type: recall_at_100
value: 0.7472
- type: recall_at_1000
value: 0.91637
- type: recall_at_3
value: 0.34993
- type: recall_at_5
value: 0.41029
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackUnixRetrieval
type: mteb/cqadupstack-unix
config: default
split: test
metrics:
- type: map_at_1
value: 0.34303
- type: map_at_10
value: 0.45312
- type: map_at_100
value: 0.46563
- type: map_at_1000
value: 0.4664
- type: map_at_3
value: 0.4143
- type: map_at_5
value: 0.43633
- type: mrr_at_1
value: 0.40112
- type: mrr_at_10
value: 0.49097
- type: mrr_at_100
value: 0.49966
- type: mrr_at_1000
value: 0.50006
- type: mrr_at_3
value: 0.46129
- type: mrr_at_5
value: 0.47901
- type: ndcg_at_1
value: 0.40112
- type: ndcg_at_10
value: 0.513
- type: ndcg_at_100
value: 0.56534
- type: ndcg_at_1000
value: 0.58048
- type: ndcg_at_3
value: 0.4491
- type: ndcg_at_5
value: 0.48048
- type: precision_at_1
value: 0.40112
- type: precision_at_10
value: 0.08806
- type: precision_at_100
value: 0.01266
- type: precision_at_1000
value: 0.00149
- type: precision_at_3
value: 0.20211
- type: precision_at_5
value: 0.14496
- type: recall_at_1
value: 0.34303
- type: recall_at_10
value: 0.65508
- type: recall_at_100
value: 0.8753
- type: recall_at_1000
value: 0.9742
- type: recall_at_3
value: 0.48465
- type: recall_at_5
value: 0.56374
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWebmastersRetrieval
type: mteb/cqadupstack-webmasters
config: default
split: test
metrics:
- type: map_at_1
value: 0.30312
- type: map_at_10
value: 0.40931
- type: map_at_100
value: 0.42893
- type: map_at_1000
value: 0.4312
- type: map_at_3
value: 0.37527
- type: map_at_5
value: 0.3936
- type: mrr_at_1
value: 0.36364
- type: mrr_at_10
value: 0.45677
- type: mrr_at_100
value: 0.46753
- type: mrr_at_1000
value: 0.46787
- type: mrr_at_3
value: 0.42918
- type: mrr_at_5
value: 0.4443
- type: ndcg_at_1
value: 0.36364
- type: ndcg_at_10
value: 0.47301
- type: ndcg_at_100
value: 0.53698
- type: ndcg_at_1000
value: 0.55503
- type: ndcg_at_3
value: 0.41875
- type: ndcg_at_5
value: 0.44316
- type: precision_at_1
value: 0.36364
- type: precision_at_10
value: 0.09032
- type: precision_at_100
value: 0.01806
- type: precision_at_1000
value: 0.00258
- type: precision_at_3
value: 0.19499
- type: precision_at_5
value: 0.1415
- type: recall_at_1
value: 0.30312
- type: recall_at_10
value: 0.59418
- type: recall_at_100
value: 0.8656
- type: recall_at_1000
value: 0.97412
- type: recall_at_3
value: 0.44251
- type: recall_at_5
value: 0.50457
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWordpressRetrieval
type: mteb/cqadupstack-wordpress
config: default
split: test
metrics:
- type: map_at_1
value: 0.23851
- type: map_at_10
value: 0.33429
- type: map_at_100
value: 0.34482
- type: map_at_1000
value: 0.3457
- type: map_at_3
value: 0.30271
- type: map_at_5
value: 0.31905
- type: mrr_at_1
value: 0.25693
- type: mrr_at_10
value: 0.35383
- type: mrr_at_100
value: 0.36295
- type: mrr_at_1000
value: 0.36346
- type: mrr_at_3
value: 0.32532
- type: mrr_at_5
value: 0.3402
- type: ndcg_at_1
value: 0.25693
- type: ndcg_at_10
value: 0.39196
- type: ndcg_at_100
value: 0.44501
- type: ndcg_at_1000
value: 0.46482
- type: ndcg_at_3
value: 0.33
- type: ndcg_at_5
value: 0.35736
- type: precision_at_1
value: 0.25693
- type: precision_at_10
value: 0.06433
- type: precision_at_100
value: 0.00989
- type: precision_at_1000
value: 0.00128
- type: precision_at_3
value: 0.14295
- type: precision_at_5
value: 0.10277
- type: recall_at_1
value: 0.23851
- type: recall_at_10
value: 0.55036
- type: recall_at_100
value: 0.79592
- type: recall_at_1000
value: 0.94283
- type: recall_at_3
value: 0.38435
- type: recall_at_5
value: 0.44872
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: mteb/dbpedia
config: default
split: test
metrics:
- type: map_at_1
value: 0.0871
- type: map_at_10
value: 0.19218
- type: map_at_100
value: 0.26291
- type: map_at_1000
value: 0.27985
- type: map_at_3
value: 0.13974
- type: map_at_5
value: 0.16104
- type: mrr_at_1
value: 0.6725
- type: mrr_at_10
value: 0.75037
- type: mrr_at_100
value: 0.75318
- type: mrr_at_1000
value: 0.75325
- type: mrr_at_3
value: 0.73833
- type: mrr_at_5
value: 0.74308
- type: ndcg_at_1
value: 0.54375
- type: ndcg_at_10
value: 0.39409
- type: ndcg_at_100
value: 0.44382
- type: ndcg_at_1000
value: 0.52485
- type: ndcg_at_3
value: 0.44463
- type: ndcg_at_5
value: 0.41276
- type: precision_at_1
value: 0.6725
- type: precision_at_10
value: 0.3055
- type: precision_at_100
value: 0.09588
- type: precision_at_1000
value: 0.02118
- type: precision_at_3
value: 0.48167
- type: precision_at_5
value: 0.394
- type: recall_at_1
value: 0.0871
- type: recall_at_10
value: 0.2527
- type: recall_at_100
value: 0.5185
- type: recall_at_1000
value: 0.76491
- type: recall_at_3
value: 0.15516
- type: recall_at_5
value: 0.18907
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: mteb/fever
config: default
split: test
metrics:
- type: map_at_1
value: 0.78993
- type: map_at_10
value: 0.8502
- type: map_at_100
value: 0.85186
- type: map_at_1000
value: 0.852
- type: map_at_3
value: 0.8437
- type: map_at_5
value: 0.84812
- type: mrr_at_1
value: 0.85179
- type: mrr_at_10
value: 0.90744
- type: mrr_at_100
value: 0.90799
- type: mrr_at_1000
value: 0.90801
- type: mrr_at_3
value: 0.90322
- type: mrr_at_5
value: 0.90622
- type: ndcg_at_1
value: 0.85179
- type: ndcg_at_10
value: 0.88229
- type: ndcg_at_100
value: 0.8884
- type: ndcg_at_1000
value: 0.89116
- type: ndcg_at_3
value: 0.87304
- type: ndcg_at_5
value: 0.87862
- type: precision_at_1
value: 0.85179
- type: precision_at_10
value: 0.10129
- type: precision_at_100
value: 0.0106
- type: precision_at_1000
value: 0.0011
- type: precision_at_3
value: 0.32543
- type: precision_at_5
value: 0.19931
- type: recall_at_1
value: 0.78993
- type: recall_at_10
value: 0.92685
- type: recall_at_100
value: 0.9516
- type: recall_at_1000
value: 0.96943
- type: recall_at_3
value: 0.89965
- type: recall_at_5
value: 0.91562
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: mteb/fiqa
config: default
split: test
metrics:
- type: map_at_1
value: 0.22586
- type: map_at_10
value: 0.36836
- type: map_at_100
value: 0.38863
- type: map_at_1000
value: 0.39041
- type: map_at_3
value: 0.32445
- type: map_at_5
value: 0.34951
- type: mrr_at_1
value: 0.44599
- type: mrr_at_10
value: 0.53471
- type: mrr_at_100
value: 0.54186
- type: mrr_at_1000
value: 0.54223
- type: mrr_at_3
value: 0.51157
- type: mrr_at_5
value: 0.52423
- type: ndcg_at_1
value: 0.44599
- type: ndcg_at_10
value: 0.44931
- type: ndcg_at_100
value: 0.51914
- type: ndcg_at_1000
value: 0.54674
- type: ndcg_at_3
value: 0.41597
- type: ndcg_at_5
value: 0.42611
- type: precision_at_1
value: 0.44599
- type: precision_at_10
value: 0.12346
- type: precision_at_100
value: 0.01951
- type: precision_at_1000
value: 0.00244
- type: precision_at_3
value: 0.27623
- type: precision_at_5
value: 0.20093
- type: recall_at_1
value: 0.22586
- type: recall_at_10
value: 0.5152
- type: recall_at_100
value: 0.77251
- type: recall_at_1000
value: 0.93503
- type: recall_at_3
value: 0.37802
- type: recall_at_5
value: 0.4386
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: mteb/hotpotqa
config: default
split: test
metrics:
- type: map_at_1
value: 0.38177
- type: map_at_10
value: 0.59021
- type: map_at_100
value: 0.59924
- type: map_at_1000
value: 0.59989
- type: map_at_3
value: 0.55553
- type: map_at_5
value: 0.57773
- type: mrr_at_1
value: 0.76354
- type: mrr_at_10
value: 0.827
- type: mrr_at_100
value: 0.82887
- type: mrr_at_1000
value: 0.82896
- type: mrr_at_3
value: 0.8172
- type: mrr_at_5
value: 0.82338
- type: ndcg_at_1
value: 0.76354
- type: ndcg_at_10
value: 0.67775
- type: ndcg_at_100
value: 0.70849
- type: ndcg_at_1000
value: 0.7215
- type: ndcg_at_3
value: 0.629
- type: ndcg_at_5
value: 0.65679
- type: precision_at_1
value: 0.76354
- type: precision_at_10
value: 0.14176
- type: precision_at_100
value: 0.01656
- type: precision_at_1000
value: 0.00183
- type: precision_at_3
value: 0.40113
- type: precision_at_5
value: 0.26255
- type: recall_at_1
value: 0.38177
- type: recall_at_10
value: 0.70878
- type: recall_at_100
value: 0.82822
- type: recall_at_1000
value: 0.91472
- type: recall_at_3
value: 0.60169
- type: recall_at_5
value: 0.65638
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: mteb/msmarco
config: default
split: dev
metrics:
- type: map_at_1
value: 0.15062
- type: map_at_10
value: 0.26008
- type: map_at_100
value: 0.27305
- type: map_at_1000
value: 0.27373
- type: map_at_3
value: 0.22236
- type: map_at_5
value: 0.24362
- type: mrr_at_1
value: 0.15444
- type: mrr_at_10
value: 0.26458
- type: mrr_at_100
value: 0.27718
- type: mrr_at_1000
value: 0.2778
- type: mrr_at_3
value: 0.22701
- type: mrr_at_5
value: 0.24844
- type: ndcg_at_1
value: 0.15444
- type: ndcg_at_10
value: 0.32495
- type: ndcg_at_100
value: 0.38957
- type: ndcg_at_1000
value: 0.40684
- type: ndcg_at_3
value: 0.24745
- type: ndcg_at_5
value: 0.2856
- type: precision_at_1
value: 0.15444
- type: precision_at_10
value: 0.05486
- type: precision_at_100
value: 0.00875
- type: precision_at_1000
value: 0.00102
- type: precision_at_3
value: 0.1086
- type: precision_at_5
value: 0.08441
- type: recall_at_1
value: 0.15062
- type: recall_at_10
value: 0.5272
- type: recall_at_100
value: 0.83006
- type: recall_at_1000
value: 0.96263
- type: recall_at_3
value: 0.31556
- type: recall_at_5
value: 0.40706
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: mteb/nfcorpus
config: default
split: test
metrics:
- type: map_at_1
value: 0.06126
- type: map_at_10
value: 0.14152
- type: map_at_100
value: 0.1827
- type: map_at_1000
value: 0.1988
- type: map_at_3
value: 0.10301
- type: map_at_5
value: 0.12085
- type: mrr_at_1
value: 0.47988
- type: mrr_at_10
value: 0.5692
- type: mrr_at_100
value: 0.57428
- type: mrr_at_1000
value: 0.57482
- type: mrr_at_3
value: 0.55315
- type: mrr_at_5
value: 0.56352
- type: ndcg_at_1
value: 0.45356
- type: ndcg_at_10
value: 0.3725
- type: ndcg_at_100
value: 0.34496
- type: ndcg_at_1000
value: 0.43374
- type: ndcg_at_3
value: 0.42643
- type: ndcg_at_5
value: 0.40882
- type: precision_at_1
value: 0.47368
- type: precision_at_10
value: 0.2774
- type: precision_at_100
value: 0.09071
- type: precision_at_1000
value: 0.02226
- type: precision_at_3
value: 0.40144
- type: precision_at_5
value: 0.35913
- type: recall_at_1
value: 0.06126
- type: recall_at_10
value: 0.18427
- type: recall_at_100
value: 0.35018
- type: recall_at_1000
value: 0.6766
- type: recall_at_3
value: 0.11706
- type: recall_at_5
value: 0.14419
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: mteb/nq
config: default
split: test
metrics:
- type: map_at_1
value: 0.33053
- type: map_at_10
value: 0.49739
- type: map_at_100
value: 0.50626
- type: map_at_1000
value: 0.50647
- type: map_at_3
value: 0.4491
- type: map_at_5
value: 0.4783
- type: mrr_at_1
value: 0.37254
- type: mrr_at_10
value: 0.52222
- type: mrr_at_100
value: 0.52855
- type: mrr_at_1000
value: 0.52869
- type: mrr_at_3
value: 0.48445
- type: mrr_at_5
value: 0.50834
- type: ndcg_at_1
value: 0.37254
- type: ndcg_at_10
value: 0.58044
- type: ndcg_at_100
value: 0.61613
- type: ndcg_at_1000
value: 0.62046
- type: ndcg_at_3
value: 0.49219
- type: ndcg_at_5
value: 0.54037
- type: precision_at_1
value: 0.37254
- type: precision_at_10
value: 0.09655
- type: precision_at_100
value: 0.01167
- type: precision_at_1000
value: 0.00121
- type: precision_at_3
value: 0.22538
- type: precision_at_5
value: 0.16344
- type: recall_at_1
value: 0.33053
- type: recall_at_10
value: 0.8076
- type: recall_at_100
value: 0.95862
- type: recall_at_1000
value: 0.99044
- type: recall_at_3
value: 0.58157
- type: recall_at_5
value: 0.69235
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: mteb/quora
config: default
split: test
metrics:
- type: map_at_1
value: 0.70056
- type: map_at_10
value: 0.84009
- type: map_at_100
value: 0.84661
- type: map_at_1000
value: 0.84678
- type: map_at_3
value: 0.81036
- type: map_at_5
value: 0.82923
- type: mrr_at_1
value: 0.8062
- type: mrr_at_10
value: 0.86971
- type: mrr_at_100
value: 0.87079
- type: mrr_at_1000
value: 0.8708
- type: mrr_at_3
value: 0.85943
- type: mrr_at_5
value: 0.86664
- type: ndcg_at_1
value: 0.8064
- type: ndcg_at_10
value: 0.87821
- type: ndcg_at_100
value: 0.89091
- type: ndcg_at_1000
value: 0.89202
- type: ndcg_at_3
value: 0.849
- type: ndcg_at_5
value: 0.86544
- type: precision_at_1
value: 0.8064
- type: precision_at_10
value: 0.13347
- type: precision_at_100
value: 0.01527
- type: precision_at_1000
value: 0.00157
- type: precision_at_3
value: 0.37153
- type: precision_at_5
value: 0.2448
- type: recall_at_1
value: 0.70056
- type: recall_at_10
value: 0.95148
- type: recall_at_100
value: 0.99474
- type: recall_at_1000
value: 0.99977
- type: recall_at_3
value: 0.86773
- type: recall_at_5
value: 0.91396
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: mteb/scidocs
config: default
split: test
metrics:
- type: map_at_1
value: 0.05737
- type: map_at_10
value: 0.14896
- type: map_at_100
value: 0.17646
- type: map_at_1000
value: 0.1803
- type: map_at_3
value: 0.10474
- type: map_at_5
value: 0.12656
- type: mrr_at_1
value: 0.281
- type: mrr_at_10
value: 0.39579
- type: mrr_at_100
value: 0.40687
- type: mrr_at_1000
value: 0.40722
- type: mrr_at_3
value: 0.35917
- type: mrr_at_5
value: 0.38097
- type: ndcg_at_1
value: 0.281
- type: ndcg_at_10
value: 0.24146
- type: ndcg_at_100
value: 0.339
- type: ndcg_at_1000
value: 0.39728
- type: ndcg_at_3
value: 0.22721
- type: ndcg_at_5
value: 0.20015
- type: precision_at_1
value: 0.281
- type: precision_at_10
value: 0.1254
- type: precision_at_100
value: 0.02651
- type: precision_at_1000
value: 0.00404
- type: precision_at_3
value: 0.212
- type: precision_at_5
value: 0.176
- type: recall_at_1
value: 0.05737
- type: recall_at_10
value: 0.254
- type: recall_at_100
value: 0.53772
- type: recall_at_1000
value: 0.82013
- type: recall_at_3
value: 0.12897
- type: recall_at_5
value: 0.17855
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: mteb/scifact
config: default
split: test
metrics:
- type: map_at_1
value: 0.60011
- type: map_at_10
value: 0.70101
- type: map_at_100
value: 0.70687
- type: map_at_1000
value: 0.70699
- type: map_at_3
value: 0.67135
- type: map_at_5
value: 0.6878
- type: mrr_at_1
value: 0.62667
- type: mrr_at_10
value: 0.71022
- type: mrr_at_100
value: 0.71484
- type: mrr_at_1000
value: 0.71496
- type: mrr_at_3
value: 0.68944
- type: mrr_at_5
value: 0.69961
- type: ndcg_at_1
value: 0.62667
- type: ndcg_at_10
value: 0.7472
- type: ndcg_at_100
value: 0.76961
- type: ndcg_at_1000
value: 0.77294
- type: ndcg_at_3
value: 0.69776
- type: ndcg_at_5
value: 0.71964
- type: precision_at_1
value: 0.62667
- type: precision_at_10
value: 0.09933
- type: precision_at_100
value: 0.01103
- type: precision_at_1000
value: 0.00113
- type: precision_at_3
value: 0.27
- type: precision_at_5
value: 0.178
- type: recall_at_1
value: 0.60011
- type: recall_at_10
value: 0.878
- type: recall_at_100
value: 0.97333
- type: recall_at_1000
value: 1
- type: recall_at_3
value: 0.74839
- type: recall_at_5
value: 0.80028
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: mteb/touche2020
config: default
split: test
metrics:
- type: map_at_1
value: 0.02152
- type: map_at_10
value: 0.07747
- type: map_at_100
value: 0.1364
- type: map_at_1000
value: 0.15235
- type: map_at_3
value: 0.04103
- type: map_at_5
value: 0.05482
- type: mrr_at_1
value: 0.26531
- type: mrr_at_10
value: 0.41399
- type: mrr_at_100
value: 0.43047
- type: mrr_at_1000
value: 0.43047
- type: mrr_at_3
value: 0.38776
- type: mrr_at_5
value: 0.40612
- type: ndcg_at_1
value: 0.23469
- type: ndcg_at_10
value: 0.20147
- type: ndcg_at_100
value: 0.3279
- type: ndcg_at_1000
value: 0.45324
- type: ndcg_at_3
value: 0.22555
- type: ndcg_at_5
value: 0.2097
- type: precision_at_1
value: 0.26531
- type: precision_at_10
value: 0.17755
- type: precision_at_100
value: 0.07082
- type: precision_at_1000
value: 0.01547
- type: precision_at_3
value: 0.2449
- type: precision_at_5
value: 0.21633
- type: recall_at_1
value: 0.02152
- type: recall_at_10
value: 0.13331
- type: recall_at_100
value: 0.4535
- type: recall_at_1000
value: 0.83447
- type: recall_at_3
value: 0.05531
- type: recall_at_5
value: 0.08029
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: mteb/trec-covid
config: default
split: test
metrics:
- type: map_at_1
value: 0.00202
- type: map_at_10
value: 0.01727
- type: map_at_100
value: 0.10906
- type: map_at_1000
value: 0.2894
- type: map_at_3
value: 0.00553
- type: map_at_5
value: 0.00924
- type: mrr_at_1
value: 0.74
- type: mrr_at_10
value: 0.85667
- type: mrr_at_100
value: 0.85667
- type: mrr_at_1000
value: 0.85667
- type: mrr_at_3
value: 0.85667
- type: mrr_at_5
value: 0.85667
- type: ndcg_at_1
value: 0.66
- type: ndcg_at_10
value: 0.69259
- type: ndcg_at_100
value: 0.57274
- type: ndcg_at_1000
value: 0.55462
- type: ndcg_at_3
value: 0.70654
- type: ndcg_at_5
value: 0.71611
- type: precision_at_1
value: 0.74
- type: precision_at_10
value: 0.748
- type: precision_at_100
value: 0.5962
- type: precision_at_1000
value: 0.24842
- type: precision_at_3
value: 0.77333
- type: precision_at_5
value: 0.788
- type: recall_at_1
value: 0.00202
- type: recall_at_10
value: 0.02001
- type: recall_at_100
value: 0.14801
- type: recall_at_1000
value: 0.53939
- type: recall_at_3
value: 0.00609
- type: recall_at_5
value: 0.01048
💫 Community Model> granite embedding 125m english by Ibm-Granite
👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.
Model creator: ibm-granite
Original model: granite-embedding-125m-english
GGUF quantization: provided by bartowski based on llama.cpp release b4341
Technical Details
Embedding model with vector size 768
Max length of 512 tokens
125 million parameters for high quality fast embedding
English only
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
Disclaimers
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