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README.md

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+---
+pipeline_tag: text-generation
+inference: true
+license: apache-2.0
+datasets:
+- GritLM/tulu2
+tags:
+- mteb
+- TensorBlock
+- GGUF
+base_model: GritLM/GritLM-8x7B
+model-index:
+- name: GritLM-8x7B
+  results:
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB AmazonCounterfactualClassification (en)
+      type: mteb/amazon_counterfactual
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 80.47761194029852
+    - type: ap
+      value: 44.38751347932197
+    - type: f1
+      value: 74.33580162208256
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB AmazonPolarityClassification
+      type: mteb/amazon_polarity
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 96.32155000000002
+    - type: ap
+      value: 94.8026654593679
+    - type: f1
+      value: 96.3209869463974
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB AmazonReviewsClassification (en)
+      type: mteb/amazon_reviews_multi
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 57.18400000000001
+    - type: f1
+      value: 55.945160479400954
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB ArguAna
+      type: arguana
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.353
+    - type: map_at_10
+      value: 50.773
+    - type: map_at_100
+      value: 51.515
+    - type: map_at_1000
+      value: 51.517
+    - type: map_at_3
+      value: 46.29
+    - type: map_at_5
+      value: 48.914
+    - type: mrr_at_1
+      value: 35.135
+    - type: mrr_at_10
+      value: 51.036
+    - type: mrr_at_100
+      value: 51.785000000000004
+    - type: mrr_at_1000
+      value: 51.787000000000006
+    - type: mrr_at_3
+      value: 46.562
+    - type: mrr_at_5
+      value: 49.183
+    - type: ndcg_at_1
+      value: 34.353
+    - type: ndcg_at_10
+      value: 59.492
+    - type: ndcg_at_100
+      value: 62.395999999999994
+    - type: ndcg_at_1000
+      value: 62.44499999999999
+    - type: ndcg_at_3
+      value: 50.217
+    - type: ndcg_at_5
+      value: 54.98499999999999
+    - type: precision_at_1
+      value: 34.353
+    - type: precision_at_10
+      value: 8.72
+    - type: precision_at_100
+      value: 0.993
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 20.531
+    - type: precision_at_5
+      value: 14.651
+    - type: recall_at_1
+      value: 34.353
+    - type: recall_at_10
+      value: 87.198
+    - type: recall_at_100
+      value: 99.289
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 61.592999999999996
+    - type: recall_at_5
+      value: 73.257
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB ArxivClusteringP2P
+      type: mteb/arxiv-clustering-p2p
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 50.720077577006286
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB ArxivClusteringS2S
+      type: mteb/arxiv-clustering-s2s
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 48.01021098734129
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB AskUbuntuDupQuestions
+      type: mteb/askubuntudupquestions-reranking
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 65.59672236627206
+    - type: mrr
+      value: 78.01191575429802
+  - task:
+      type: STS
+    dataset:
+      name: MTEB BIOSSES
+      type: mteb/biosses-sts
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.52452252271826
+    - type: cos_sim_spearman
+      value: 87.34415887061094
+    - type: euclidean_pearson
+      value: 87.46187616533932
+    - type: euclidean_spearman
+      value: 85.44712769366146
+    - type: manhattan_pearson
+      value: 87.56696679505373
+    - type: manhattan_spearman
+      value: 86.01581535039067
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB Banking77Classification
+      type: mteb/banking77
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 87.4577922077922
+    - type: f1
+      value: 87.38432712848123
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB BiorxivClusteringP2P
+      type: mteb/biorxiv-clustering-p2p
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 41.41290357360428
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB BiorxivClusteringS2S
+      type: mteb/biorxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 38.67213605633667
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB CQADupstackAndroidRetrieval
+      type: BeIR/cqadupstack
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 37.545
+    - type: map_at_10
+      value: 50.015
+    - type: map_at_100
+      value: 51.763999999999996
+    - type: map_at_1000
+      value: 51.870000000000005
+    - type: map_at_3
+      value: 46.129999999999995
+    - type: map_at_5
+      value: 48.473
+    - type: mrr_at_1
+      value: 47.638999999999996
+    - type: mrr_at_10
+      value: 56.913000000000004
+    - type: mrr_at_100
+      value: 57.619
+    - type: mrr_at_1000
+      value: 57.648999999999994
+    - type: mrr_at_3
+      value: 54.435
+    - type: mrr_at_5
+      value: 56.059000000000005
+    - type: ndcg_at_1
+      value: 47.638999999999996
+    - type: ndcg_at_10
+      value: 56.664
+    - type: ndcg_at_100
+      value: 62.089000000000006
+    - type: ndcg_at_1000
+      value: 63.415
+    - type: ndcg_at_3
+      value: 51.842999999999996
+    - type: ndcg_at_5
+      value: 54.30199999999999
+    - type: precision_at_1
+      value: 47.638999999999996
+    - type: precision_at_10
+      value: 10.886999999999999
+    - type: precision_at_100
+      value: 1.722
+    - type: precision_at_1000
+      value: 0.212
+    - type: precision_at_3
+      value: 25.179000000000002
+    - type: precision_at_5
+      value: 18.226
+    - type: recall_at_1
+      value: 37.545
+    - type: recall_at_10
+      value: 68.118
+    - type: recall_at_100
+      value: 90.381
+    - type: recall_at_1000
+      value: 98.556
+    - type: recall_at_3
+      value: 53.319
+    - type: recall_at_5
+      value: 60.574
+    - type: map_at_1
+      value: 37.066
+    - type: map_at_10
+      value: 49.464000000000006
+    - type: map_at_100
+      value: 50.79900000000001
+    - type: map_at_1000
+      value: 50.928
+    - type: map_at_3
+      value: 46.133
+    - type: map_at_5
+      value: 47.941
+    - type: mrr_at_1
+      value: 48.025
+    - type: mrr_at_10
+      value: 56.16100000000001
+    - type: mrr_at_100
+      value: 56.725
+    - type: mrr_at_1000
+      value: 56.757000000000005
+    - type: mrr_at_3
+      value: 54.31
+    - type: mrr_at_5
+      value: 55.285
+    - type: ndcg_at_1
+      value: 48.025
+    - type: ndcg_at_10
+      value: 55.467
+    - type: ndcg_at_100
+      value: 59.391000000000005
+    - type: ndcg_at_1000
+      value: 61.086
+    - type: ndcg_at_3
+      value: 51.733
+    - type: ndcg_at_5
+      value: 53.223
+    - type: precision_at_1
+      value: 48.025
+    - type: precision_at_10
+      value: 10.656
+    - type: precision_at_100
+      value: 1.6070000000000002
+    - type: precision_at_1000
+      value: 0.20600000000000002
+    - type: precision_at_3
+      value: 25.499
+    - type: precision_at_5
+      value: 17.771
+    - type: recall_at_1
+      value: 37.066
+    - type: recall_at_10
+      value: 65.062
+    - type: recall_at_100
+      value: 81.662
+    - type: recall_at_1000
+      value: 91.913
+    - type: recall_at_3
+      value: 52.734
+    - type: recall_at_5
+      value: 57.696999999999996
+    - type: map_at_1
+      value: 46.099000000000004
+    - type: map_at_10
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+    - type: map_at_1000
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+    - type: mrr_at_1
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+    - type: mrr_at_10
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+    - type: mrr_at_100
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+    - type: mrr_at_1000
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+    - type: mrr_at_3
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+    - type: mrr_at_5
+      value: 62.800999999999995
+    - type: ndcg_at_1
+      value: 53.417
+    - type: ndcg_at_10
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+    - type: ndcg_at_100
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+    - type: ndcg_at_1000
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+    - type: ndcg_at_3
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+    - type: ndcg_at_5
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+    - type: recall_at_1
+      value: 36.575
+    - type: recall_at_10
+      value: 67.903
+    - type: recall_at_100
+      value: 89.464
+    - type: recall_at_1000
+      value: 97.799
+    - type: recall_at_3
+      value: 53.493
+    - type: recall_at_5
+      value: 59.372
+    - type: map_at_1
+      value: 29.099000000000004
+    - type: map_at_10
+      value: 42.147
+    - type: map_at_100
+      value: 43.522
+    - type: map_at_1000
+      value: 43.624
+    - type: map_at_3
+      value: 38.104
+    - type: map_at_5
+      value: 40.435
+    - type: mrr_at_1
+      value: 36.416
+    - type: mrr_at_10
+      value: 47.922
+    - type: mrr_at_100
+      value: 48.664
+    - type: mrr_at_1000
+      value: 48.709
+    - type: mrr_at_3
+      value: 44.977000000000004
+    - type: mrr_at_5
+      value: 46.838
+    - type: ndcg_at_1
+      value: 36.416
+    - type: ndcg_at_10
+      value: 49.307
+    - type: ndcg_at_100
+      value: 54.332
+    - type: ndcg_at_1000
+      value: 56.145
+    - type: ndcg_at_3
+      value: 42.994
+    - type: ndcg_at_5
+      value: 46.119
+    - type: precision_at_1
+      value: 36.416
+    - type: precision_at_10
+      value: 9.452
+    - type: precision_at_100
+      value: 1.4080000000000001
+    - type: precision_at_1000
+      value: 0.172
+    - type: precision_at_3
+      value: 21.081
+    - type: precision_at_5
+      value: 15.501999999999999
+    - type: recall_at_1
+      value: 29.099000000000004
+    - type: recall_at_10
+      value: 64.485
+    - type: recall_at_100
+      value: 84.753
+    - type: recall_at_1000
+      value: 96.875
+    - type: recall_at_3
+      value: 47.06
+    - type: recall_at_5
+      value: 55.077
+    - type: map_at_1
+      value: 30.69458333333333
+    - type: map_at_10
+      value: 41.65291666666666
+    - type: map_at_100
+      value: 42.95775
+    - type: map_at_1000
+      value: 43.06258333333333
+    - type: map_at_3
+      value: 38.335750000000004
+    - type: map_at_5
+      value: 40.20941666666666
+    - type: mrr_at_1
+      value: 37.013000000000005
+    - type: mrr_at_10
+      value: 46.30600000000001
+    - type: mrr_at_100
+      value: 47.094666666666676
+    - type: mrr_at_1000
+      value: 47.139583333333334
+    - type: mrr_at_3
+      value: 43.805749999999996
+    - type: mrr_at_5
+      value: 45.22366666666666
+    - type: ndcg_at_1
+      value: 37.013000000000005
+    - type: ndcg_at_10
+      value: 47.63491666666667
+    - type: ndcg_at_100
+      value: 52.71083333333334
+    - type: ndcg_at_1000
+      value: 54.493583333333326
+    - type: ndcg_at_3
+      value: 42.43616666666666
+    - type: ndcg_at_5
+      value: 44.87583333333334
+    - type: precision_at_1
+      value: 37.013000000000005
+    - type: precision_at_10
+      value: 8.481583333333333
+    - type: precision_at_100
+      value: 1.3073333333333337
+    - type: precision_at_1000
+      value: 0.16341666666666668
+    - type: precision_at_3
+      value: 19.811833333333333
+    - type: precision_at_5
+      value: 14.07691666666667
+    - type: recall_at_1
+      value: 30.69458333333333
+    - type: recall_at_10
+      value: 60.462083333333325
+    - type: recall_at_100
+      value: 82.42325000000001
+    - type: recall_at_1000
+      value: 94.53291666666667
+    - type: recall_at_3
+      value: 45.7405
+    - type: recall_at_5
+      value: 52.14025
+    - type: map_at_1
+      value: 27.833000000000002
+    - type: map_at_10
+      value: 36.55
+    - type: map_at_100
+      value: 37.524
+    - type: map_at_1000
+      value: 37.613
+    - type: map_at_3
+      value: 33.552
+    - type: map_at_5
+      value: 35.173
+    - type: mrr_at_1
+      value: 31.135
+    - type: mrr_at_10
+      value: 39.637
+    - type: mrr_at_100
+      value: 40.361000000000004
+    - type: mrr_at_1000
+      value: 40.422000000000004
+    - type: mrr_at_3
+      value: 36.887
+    - type: mrr_at_5
+      value: 38.428000000000004
+    - type: ndcg_at_1
+      value: 31.135
+    - type: ndcg_at_10
+      value: 42.007
+    - type: ndcg_at_100
+      value: 46.531
+    - type: ndcg_at_1000
+      value: 48.643
+    - type: ndcg_at_3
+      value: 36.437999999999995
+    - type: ndcg_at_5
+      value: 39.021
+    - type: precision_at_1
+      value: 31.135
+    - type: precision_at_10
+      value: 6.856
+    - type: precision_at_100
+      value: 0.988
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 15.9
+    - type: precision_at_5
+      value: 11.227
+    - type: recall_at_1
+      value: 27.833000000000002
+    - type: recall_at_10
+      value: 55.711
+    - type: recall_at_100
+      value: 76.255
+    - type: recall_at_1000
+      value: 91.51899999999999
+    - type: recall_at_3
+      value: 40.22
+    - type: recall_at_5
+      value: 46.69
+    - type: map_at_1
+      value: 21.274
+    - type: map_at_10
+      value: 29.925
+    - type: map_at_100
+      value: 31.171
+    - type: map_at_1000
+      value: 31.296000000000003
+    - type: map_at_3
+      value: 27.209
+    - type: map_at_5
+      value: 28.707
+    - type: mrr_at_1
+      value: 26.462000000000003
+    - type: mrr_at_10
+      value: 34.604
+    - type: mrr_at_100
+      value: 35.554
+    - type: mrr_at_1000
+      value: 35.622
+    - type: mrr_at_3
+      value: 32.295
+    - type: mrr_at_5
+      value: 33.598
+    - type: ndcg_at_1
+      value: 26.462000000000003
+    - type: ndcg_at_10
+      value: 35.193000000000005
+    - type: ndcg_at_100
+      value: 40.876000000000005
+    - type: ndcg_at_1000
+      value: 43.442
+    - type: ndcg_at_3
+      value: 30.724
+    - type: ndcg_at_5
+      value: 32.735
+    - type: precision_at_1
+      value: 26.462000000000003
+    - type: precision_at_10
+      value: 6.438000000000001
+    - type: precision_at_100
+      value: 1.093
+    - type: precision_at_1000
+      value: 0.15
+    - type: precision_at_3
+      value: 14.636
+    - type: precision_at_5
+      value: 10.496
+    - type: recall_at_1
+      value: 21.274
+    - type: recall_at_10
+      value: 46.322
+    - type: recall_at_100
+      value: 71.702
+    - type: recall_at_1000
+      value: 89.405
+    - type: recall_at_3
+      value: 33.444
+    - type: recall_at_5
+      value: 38.83
+    - type: map_at_1
+      value: 31.174000000000003
+    - type: map_at_10
+      value: 42.798
+    - type: map_at_100
+      value: 43.996
+    - type: map_at_1000
+      value: 44.088
+    - type: map_at_3
+      value: 39.255
+    - type: map_at_5
+      value: 41.336
+    - type: mrr_at_1
+      value: 37.22
+    - type: mrr_at_10
+      value: 47.035
+    - type: mrr_at_100
+      value: 47.833999999999996
+    - type: mrr_at_1000
+      value: 47.88
+    - type: mrr_at_3
+      value: 44.248
+    - type: mrr_at_5
+      value: 45.815
+    - type: ndcg_at_1
+      value: 37.22
+    - type: ndcg_at_10
+      value: 48.931999999999995
+    - type: ndcg_at_100
+      value: 53.991
+    - type: ndcg_at_1000
+      value: 55.825
+    - type: ndcg_at_3
+      value: 43.144
+    - type: ndcg_at_5
+      value: 45.964
+    - type: precision_at_1
+      value: 37.22
+    - type: precision_at_10
+      value: 8.451
+    - type: precision_at_100
+      value: 1.2189999999999999
+    - type: precision_at_1000
+      value: 0.149
+    - type: precision_at_3
+      value: 20.087
+    - type: precision_at_5
+      value: 14.235000000000001
+    - type: recall_at_1
+      value: 31.174000000000003
+    - type: recall_at_10
+      value: 63.232
+    - type: recall_at_100
+      value: 84.747
+    - type: recall_at_1000
+      value: 97.006
+    - type: recall_at_3
+      value: 47.087
+    - type: recall_at_5
+      value: 54.493
+    - type: map_at_1
+      value: 29.628
+    - type: map_at_10
+      value: 39.995999999999995
+    - type: map_at_100
+      value: 41.899
+    - type: map_at_1000
+      value: 42.125
+    - type: map_at_3
+      value: 36.345
+    - type: map_at_5
+      value: 38.474000000000004
+    - type: mrr_at_1
+      value: 36.364000000000004
+    - type: mrr_at_10
+      value: 45.293
+    - type: mrr_at_100
+      value: 46.278999999999996
+    - type: mrr_at_1000
+      value: 46.318
+    - type: mrr_at_3
+      value: 42.522999999999996
+    - type: mrr_at_5
+      value: 44.104
+    - type: ndcg_at_1
+      value: 36.364000000000004
+    - type: ndcg_at_10
+      value: 46.622
+    - type: ndcg_at_100
+      value: 52.617000000000004
+    - type: ndcg_at_1000
+      value: 54.529
+    - type: ndcg_at_3
+      value: 40.971999999999994
+    - type: ndcg_at_5
+      value: 43.738
+    - type: precision_at_1
+      value: 36.364000000000004
+    - type: precision_at_10
+      value: 9.110999999999999
+    - type: precision_at_100
+      value: 1.846
+    - type: precision_at_1000
+      value: 0.256
+    - type: precision_at_3
+      value: 19.236
+    - type: precision_at_5
+      value: 14.269000000000002
+    - type: recall_at_1
+      value: 29.628
+    - type: recall_at_10
+      value: 58.706
+    - type: recall_at_100
+      value: 85.116
+    - type: recall_at_1000
+      value: 97.258
+    - type: recall_at_3
+      value: 42.655
+    - type: recall_at_5
+      value: 49.909
+    - type: map_at_1
+      value: 25.499
+    - type: map_at_10
+      value: 34.284
+    - type: map_at_100
+      value: 35.416
+    - type: map_at_1000
+      value: 35.494
+    - type: map_at_3
+      value: 31.911
+    - type: map_at_5
+      value: 33.159
+    - type: mrr_at_1
+      value: 28.096
+    - type: mrr_at_10
+      value: 36.699
+    - type: mrr_at_100
+      value: 37.657000000000004
+    - type: mrr_at_1000
+      value: 37.714999999999996
+    - type: mrr_at_3
+      value: 34.72
+    - type: mrr_at_5
+      value: 35.746
+    - type: ndcg_at_1
+      value: 28.096
+    - type: ndcg_at_10
+      value: 39.041
+    - type: ndcg_at_100
+      value: 44.633
+    - type: ndcg_at_1000
+      value: 46.522000000000006
+    - type: ndcg_at_3
+      value: 34.663
+    - type: ndcg_at_5
+      value: 36.538
+    - type: precision_at_1
+      value: 28.096
+    - type: precision_at_10
+      value: 6.0440000000000005
+    - type: precision_at_100
+      value: 0.9520000000000001
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 14.911
+    - type: precision_at_5
+      value: 10.277
+    - type: recall_at_1
+      value: 25.499
+    - type: recall_at_10
+      value: 51.26199999999999
+    - type: recall_at_100
+      value: 76.896
+    - type: recall_at_1000
+      value: 90.763
+    - type: recall_at_3
+      value: 39.376
+    - type: recall_at_5
+      value: 43.785000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB ClimateFEVER
+      type: climate-fever
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.532
+    - type: map_at_10
+      value: 19.911
+    - type: map_at_100
+      value: 21.926000000000002
+    - type: map_at_1000
+      value: 22.113
+    - type: map_at_3
+      value: 16.118
+    - type: map_at_5
+      value: 18.043
+    - type: mrr_at_1
+      value: 23.909
+    - type: mrr_at_10
+      value: 37.029
+    - type: mrr_at_100
+      value: 38.015
+    - type: mrr_at_1000
+      value: 38.054
+    - type: mrr_at_3
+      value: 33.29
+    - type: mrr_at_5
+      value: 35.446
+    - type: ndcg_at_1
+      value: 23.909
+    - type: ndcg_at_10
+      value: 28.691
+    - type: ndcg_at_100
+      value: 36.341
+    - type: ndcg_at_1000
+      value: 39.644
+    - type: ndcg_at_3
+      value: 22.561
+    - type: ndcg_at_5
+      value: 24.779999999999998
+    - type: precision_at_1
+      value: 23.909
+    - type: precision_at_10
+      value: 9.433
+    - type: precision_at_100
+      value: 1.763
+    - type: precision_at_1000
+      value: 0.23800000000000002
+    - type: precision_at_3
+      value: 17.438000000000002
+    - type: precision_at_5
+      value: 13.758999999999999
+    - type: recall_at_1
+      value: 10.532
+    - type: recall_at_10
+      value: 36.079
+    - type: recall_at_100
+      value: 62.156
+    - type: recall_at_1000
+      value: 80.53099999999999
+    - type: recall_at_3
+      value: 21.384
+    - type: recall_at_5
+      value: 27.29
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB DBPedia
+      type: dbpedia-entity
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.483
+    - type: map_at_10
+      value: 21.986
+    - type: map_at_100
+      value: 31.319000000000003
+    - type: map_at_1000
+      value: 33.231
+    - type: map_at_3
+      value: 15.193000000000001
+    - type: map_at_5
+      value: 18.116
+    - type: mrr_at_1
+      value: 74.0
+    - type: mrr_at_10
+      value: 80.047
+    - type: mrr_at_100
+      value: 80.406
+    - type: mrr_at_1000
+      value: 80.414
+    - type: mrr_at_3
+      value: 78.667
+    - type: mrr_at_5
+      value: 79.467
+    - type: ndcg_at_1
+      value: 61.875
+    - type: ndcg_at_10
+      value: 46.544999999999995
+    - type: ndcg_at_100
+      value: 51.097
+    - type: ndcg_at_1000
+      value: 58.331999999999994
+    - type: ndcg_at_3
+      value: 51.622
+    - type: ndcg_at_5
+      value: 49.016
+    - type: precision_at_1
+      value: 74.0
+    - type: precision_at_10
+      value: 37.325
+    - type: precision_at_100
+      value: 11.743
+    - type: precision_at_1000
+      value: 2.423
+    - type: precision_at_3
+      value: 54.75
+    - type: precision_at_5
+      value: 47.699999999999996
+    - type: recall_at_1
+      value: 9.483
+    - type: recall_at_10
+      value: 27.477
+    - type: recall_at_100
+      value: 57.099999999999994
+    - type: recall_at_1000
+      value: 80.56
+    - type: recall_at_3
+      value: 16.543
+    - type: recall_at_5
+      value: 20.830000000000002
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB EmotionClassification
+      type: mteb/emotion
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 50.06
+    - type: f1
+      value: 44.99375486940016
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB FEVER
+      type: fever
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 70.94
+    - type: map_at_10
+      value: 80.854
+    - type: map_at_100
+      value: 81.096
+    - type: map_at_1000
+      value: 81.109
+    - type: map_at_3
+      value: 79.589
+    - type: map_at_5
+      value: 80.431
+    - type: mrr_at_1
+      value: 76.44800000000001
+    - type: mrr_at_10
+      value: 85.07000000000001
+    - type: mrr_at_100
+      value: 85.168
+    - type: mrr_at_1000
+      value: 85.17
+    - type: mrr_at_3
+      value: 84.221
+    - type: mrr_at_5
+      value: 84.832
+    - type: ndcg_at_1
+      value: 76.44800000000001
+    - type: ndcg_at_10
+      value: 85.019
+    - type: ndcg_at_100
+      value: 85.886
+    - type: ndcg_at_1000
+      value: 86.09400000000001
+    - type: ndcg_at_3
+      value: 83.023
+    - type: ndcg_at_5
+      value: 84.223
+    - type: precision_at_1
+      value: 76.44800000000001
+    - type: precision_at_10
+      value: 10.405000000000001
+    - type: precision_at_100
+      value: 1.105
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 32.208
+    - type: precision_at_5
+      value: 20.122999999999998
+    - type: recall_at_1
+      value: 70.94
+    - type: recall_at_10
+      value: 93.508
+    - type: recall_at_100
+      value: 96.962
+    - type: recall_at_1000
+      value: 98.24300000000001
+    - type: recall_at_3
+      value: 88.17099999999999
+    - type: recall_at_5
+      value: 91.191
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB FiQA2018
+      type: fiqa
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.844
+    - type: map_at_10
+      value: 41.629
+    - type: map_at_100
+      value: 43.766
+    - type: map_at_1000
+      value: 43.916
+    - type: map_at_3
+      value: 35.992000000000004
+    - type: map_at_5
+      value: 39.302
+    - type: mrr_at_1
+      value: 45.988
+    - type: mrr_at_10
+      value: 56.050999999999995
+    - type: mrr_at_100
+      value: 56.741
+    - type: mrr_at_1000
+      value: 56.767999999999994
+    - type: mrr_at_3
+      value: 53.498000000000005
+    - type: mrr_at_5
+      value: 55.071999999999996
+    - type: ndcg_at_1
+      value: 45.988
+    - type: ndcg_at_10
+      value: 49.891999999999996
+    - type: ndcg_at_100
+      value: 56.727000000000004
+    - type: ndcg_at_1000
+      value: 58.952000000000005
+    - type: ndcg_at_3
+      value: 45.09
+    - type: ndcg_at_5
+      value: 46.943
+    - type: precision_at_1
+      value: 45.988
+    - type: precision_at_10
+      value: 13.980999999999998
+    - type: precision_at_100
+      value: 2.136
+    - type: precision_at_1000
+      value: 0.252
+    - type: precision_at_3
+      value: 30.556
+    - type: precision_at_5
+      value: 22.778000000000002
+    - type: recall_at_1
+      value: 23.844
+    - type: recall_at_10
+      value: 58.46
+    - type: recall_at_100
+      value: 82.811
+    - type: recall_at_1000
+      value: 96.084
+    - type: recall_at_3
+      value: 41.636
+    - type: recall_at_5
+      value: 49.271
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB HotpotQA
+      type: hotpotqa
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.108
+    - type: map_at_10
+      value: 65.846
+    - type: map_at_100
+      value: 66.691
+    - type: map_at_1000
+      value: 66.743
+    - type: map_at_3
+      value: 62.09
+    - type: map_at_5
+      value: 64.412
+    - type: mrr_at_1
+      value: 80.216
+    - type: mrr_at_10
+      value: 85.768
+    - type: mrr_at_100
+      value: 85.92699999999999
+    - type: mrr_at_1000
+      value: 85.932
+    - type: mrr_at_3
+      value: 85.012
+    - type: mrr_at_5
+      value: 85.495
+    - type: ndcg_at_1
+      value: 80.216
+    - type: ndcg_at_10
+      value: 73.833
+    - type: ndcg_at_100
+      value: 76.68
+    - type: ndcg_at_1000
+      value: 77.639
+    - type: ndcg_at_3
+      value: 68.7
+    - type: ndcg_at_5
+      value: 71.514
+    - type: precision_at_1
+      value: 80.216
+    - type: precision_at_10
+      value: 15.616
+    - type: precision_at_100
+      value: 1.783
+    - type: precision_at_1000
+      value: 0.191
+    - type: precision_at_3
+      value: 44.483
+    - type: precision_at_5
+      value: 28.904999999999998
+    - type: recall_at_1
+      value: 40.108
+    - type: recall_at_10
+      value: 78.082
+    - type: recall_at_100
+      value: 89.129
+    - type: recall_at_1000
+      value: 95.381
+    - type: recall_at_3
+      value: 66.725
+    - type: recall_at_5
+      value: 72.262
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB ImdbClassification
+      type: mteb/imdb
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 94.3208
+    - type: ap
+      value: 91.64852216825692
+    - type: f1
+      value: 94.31672442494217
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB MSMARCO
+      type: msmarco
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.954
+    - type: map_at_10
+      value: 28.605000000000004
+    - type: map_at_100
+      value: 29.875
+    - type: map_at_1000
+      value: 29.934
+    - type: map_at_3
+      value: 24.57
+    - type: map_at_5
+      value: 26.845000000000002
+    - type: mrr_at_1
+      value: 17.407
+    - type: mrr_at_10
+      value: 29.082
+    - type: mrr_at_100
+      value: 30.309
+    - type: mrr_at_1000
+      value: 30.361
+    - type: mrr_at_3
+      value: 25.112000000000002
+    - type: mrr_at_5
+      value: 27.37
+    - type: ndcg_at_1
+      value: 17.407
+    - type: ndcg_at_10
+      value: 35.555
+    - type: ndcg_at_100
+      value: 41.808
+    - type: ndcg_at_1000
+      value: 43.277
+    - type: ndcg_at_3
+      value: 27.291999999999998
+    - type: ndcg_at_5
+      value: 31.369999999999997
+    - type: precision_at_1
+      value: 17.407
+    - type: precision_at_10
+      value: 5.9670000000000005
+    - type: precision_at_100
+      value: 0.9119999999999999
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 11.939
+    - type: precision_at_5
+      value: 9.223
+    - type: recall_at_1
+      value: 16.954
+    - type: recall_at_10
+      value: 57.216
+    - type: recall_at_100
+      value: 86.384
+    - type: recall_at_1000
+      value: 97.64
+    - type: recall_at_3
+      value: 34.660999999999994
+    - type: recall_at_5
+      value: 44.484
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MTOPDomainClassification (en)
+      type: mteb/mtop_domain
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 95.29183766529867
+    - type: f1
+      value: 95.01282555921513
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MTOPIntentClassification (en)
+      type: mteb/mtop_intent
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 87.07934336525307
+    - type: f1
+      value: 69.58693991783085
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MassiveIntentClassification (en)
+      type: mteb/amazon_massive_intent
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 79.71755211835911
+    - type: f1
+      value: 77.08207736007755
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB MassiveScenarioClassification (en)
+      type: mteb/amazon_massive_scenario
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 81.08607935440484
+    - type: f1
+      value: 80.71191664406739
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB MedrxivClusteringP2P
+      type: mteb/medrxiv-clustering-p2p
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 36.5355083590869
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB MedrxivClusteringS2S
+      type: mteb/medrxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 37.24173539348128
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB MindSmallReranking
+      type: mteb/mind_small
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 32.84293003435578
+    - type: mrr
+      value: 34.09721970493348
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB NFCorpus
+      type: nfcorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.369
+    - type: map_at_10
+      value: 14.892
+    - type: map_at_100
+      value: 18.884999999999998
+    - type: map_at_1000
+      value: 20.43
+    - type: map_at_3
+      value: 10.735999999999999
+    - type: map_at_5
+      value: 12.703000000000001
+    - type: mrr_at_1
+      value: 50.15500000000001
+    - type: mrr_at_10
+      value: 59.948
+    - type: mrr_at_100
+      value: 60.422
+    - type: mrr_at_1000
+      value: 60.455999999999996
+    - type: mrr_at_3
+      value: 58.204
+    - type: mrr_at_5
+      value: 59.35
+    - type: ndcg_at_1
+      value: 47.678
+    - type: ndcg_at_10
+      value: 39.050000000000004
+    - type: ndcg_at_100
+      value: 35.905
+    - type: ndcg_at_1000
+      value: 44.662
+    - type: ndcg_at_3
+      value: 44.781
+    - type: ndcg_at_5
+      value: 42.549
+    - type: precision_at_1
+      value: 49.226
+    - type: precision_at_10
+      value: 28.762
+    - type: precision_at_100
+      value: 8.767999999999999
+    - type: precision_at_1000
+      value: 2.169
+    - type: precision_at_3
+      value: 41.796
+    - type: precision_at_5
+      value: 37.09
+    - type: recall_at_1
+      value: 6.369
+    - type: recall_at_10
+      value: 19.842000000000002
+    - type: recall_at_100
+      value: 37.017
+    - type: recall_at_1000
+      value: 68.444
+    - type: recall_at_3
+      value: 12.446
+    - type: recall_at_5
+      value: 15.525
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB NQ
+      type: nq
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 39.663
+    - type: map_at_10
+      value: 56.252
+    - type: map_at_100
+      value: 57.018
+    - type: map_at_1000
+      value: 57.031
+    - type: map_at_3
+      value: 52.020999999999994
+    - type: map_at_5
+      value: 54.626
+    - type: mrr_at_1
+      value: 44.699
+    - type: mrr_at_10
+      value: 58.819
+    - type: mrr_at_100
+      value: 59.351
+    - type: mrr_at_1000
+      value: 59.358
+    - type: mrr_at_3
+      value: 55.615
+    - type: mrr_at_5
+      value: 57.598000000000006
+    - type: ndcg_at_1
+      value: 44.699
+    - type: ndcg_at_10
+      value: 63.873999999999995
+    - type: ndcg_at_100
+      value: 66.973
+    - type: ndcg_at_1000
+      value: 67.23700000000001
+    - type: ndcg_at_3
+      value: 56.25599999999999
+    - type: ndcg_at_5
+      value: 60.44199999999999
+    - type: precision_at_1
+      value: 44.699
+    - type: precision_at_10
+      value: 10.075000000000001
+    - type: precision_at_100
+      value: 1.185
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 25.202999999999996
+    - type: precision_at_5
+      value: 17.584
+    - type: recall_at_1
+      value: 39.663
+    - type: recall_at_10
+      value: 84.313
+    - type: recall_at_100
+      value: 97.56700000000001
+    - type: recall_at_1000
+      value: 99.44
+    - type: recall_at_3
+      value: 64.938
+    - type: recall_at_5
+      value: 74.515
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB QuoraRetrieval
+      type: quora
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 69.708
+    - type: map_at_10
+      value: 83.86099999999999
+    - type: map_at_100
+      value: 84.513
+    - type: map_at_1000
+      value: 84.53
+    - type: map_at_3
+      value: 80.854
+    - type: map_at_5
+      value: 82.757
+    - type: mrr_at_1
+      value: 80.15
+    - type: mrr_at_10
+      value: 86.70400000000001
+    - type: mrr_at_100
+      value: 86.81400000000001
+    - type: mrr_at_1000
+      value: 86.815
+    - type: mrr_at_3
+      value: 85.658
+    - type: mrr_at_5
+      value: 86.37599999999999
+    - type: ndcg_at_1
+      value: 80.17
+    - type: ndcg_at_10
+      value: 87.7
+    - type: ndcg_at_100
+      value: 88.979
+    - type: ndcg_at_1000
+      value: 89.079
+    - type: ndcg_at_3
+      value: 84.71600000000001
+    - type: ndcg_at_5
+      value: 86.385
+    - type: precision_at_1
+      value: 80.17
+    - type: precision_at_10
+      value: 13.369
+    - type: precision_at_100
+      value: 1.53
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.123
+    - type: precision_at_5
+      value: 24.498
+    - type: recall_at_1
+      value: 69.708
+    - type: recall_at_10
+      value: 95.17099999999999
+    - type: recall_at_100
+      value: 99.529
+    - type: recall_at_1000
+      value: 99.97500000000001
+    - type: recall_at_3
+      value: 86.761
+    - type: recall_at_5
+      value: 91.34
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB RedditClustering
+      type: mteb/reddit-clustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 63.005610557842786
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB RedditClusteringP2P
+      type: mteb/reddit-clustering-p2p
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 65.85897055439158
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB SCIDOCS
+      type: scidocs
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.388
+    - type: map_at_10
+      value: 14.087
+    - type: map_at_100
+      value: 16.618
+    - type: map_at_1000
+      value: 16.967
+    - type: map_at_3
+      value: 9.8
+    - type: map_at_5
+      value: 11.907
+    - type: mrr_at_1
+      value: 26.5
+    - type: mrr_at_10
+      value: 37.905
+    - type: mrr_at_100
+      value: 39.053
+    - type: mrr_at_1000
+      value: 39.091
+    - type: mrr_at_3
+      value: 34.567
+    - type: mrr_at_5
+      value: 36.307
+    - type: ndcg_at_1
+      value: 26.5
+    - type: ndcg_at_10
+      value: 23.06
+    - type: ndcg_at_100
+      value: 32.164
+    - type: ndcg_at_1000
+      value: 37.574000000000005
+    - type: ndcg_at_3
+      value: 21.623
+    - type: ndcg_at_5
+      value: 18.95
+    - type: precision_at_1
+      value: 26.5
+    - type: precision_at_10
+      value: 12.030000000000001
+    - type: precision_at_100
+      value: 2.5020000000000002
+    - type: precision_at_1000
+      value: 0.379
+    - type: precision_at_3
+      value: 20.200000000000003
+    - type: precision_at_5
+      value: 16.64
+    - type: recall_at_1
+      value: 5.388
+    - type: recall_at_10
+      value: 24.375
+    - type: recall_at_100
+      value: 50.818
+    - type: recall_at_1000
+      value: 76.86699999999999
+    - type: recall_at_3
+      value: 12.273
+    - type: recall_at_5
+      value: 16.858
+  - task:
+      type: STS
+    dataset:
+      name: MTEB SICK-R
+      type: mteb/sickr-sts
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.09465497223438
+    - type: cos_sim_spearman
+      value: 80.55601111843897
+    - type: euclidean_pearson
+      value: 82.40135168520864
+    - type: euclidean_spearman
+      value: 80.05606361845396
+    - type: manhattan_pearson
+      value: 82.24092291787754
+    - type: manhattan_spearman
+      value: 79.89739846820373
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS12
+      type: mteb/sts12-sts
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.14210597635189
+    - type: cos_sim_spearman
+      value: 73.69447481152118
+    - type: euclidean_pearson
+      value: 75.08507068029972
+    - type: euclidean_spearman
+      value: 71.04077458564372
+    - type: manhattan_pearson
+      value: 75.64918699307383
+    - type: manhattan_spearman
+      value: 71.61677355593945
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS13
+      type: mteb/sts13-sts
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.41396417076866
+    - type: cos_sim_spearman
+      value: 85.82245898186092
+    - type: euclidean_pearson
+      value: 85.58527168297935
+    - type: euclidean_spearman
+      value: 85.94613250938504
+    - type: manhattan_pearson
+      value: 85.88114899068759
+    - type: manhattan_spearman
+      value: 86.42494392145366
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS14
+      type: mteb/sts14-sts
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.7431948980468
+    - type: cos_sim_spearman
+      value: 82.05114289801895
+    - type: euclidean_pearson
+      value: 83.06116666914892
+    - type: euclidean_spearman
+      value: 81.82060562251957
+    - type: manhattan_pearson
+      value: 83.1858437025367
+    - type: manhattan_spearman
+      value: 82.09604293088852
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS15
+      type: mteb/sts15-sts
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.455985912287
+    - type: cos_sim_spearman
+      value: 88.8044343107975
+    - type: euclidean_pearson
+      value: 87.155336804123
+    - type: euclidean_spearman
+      value: 87.79371420531842
+    - type: manhattan_pearson
+      value: 87.5784376507174
+    - type: manhattan_spearman
+      value: 88.429877987816
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS16
+      type: mteb/sts16-sts
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.1631000795076
+    - type: cos_sim_spearman
+      value: 86.20042158061408
+    - type: euclidean_pearson
+      value: 84.88605965960737
+    - type: euclidean_spearman
+      value: 85.45926745772432
+    - type: manhattan_pearson
+      value: 85.18333987666729
+    - type: manhattan_spearman
+      value: 85.86048911387192
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS17 (en-en)
+      type: mteb/sts17-crosslingual-sts
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 91.51301667439836
+    - type: cos_sim_spearman
+      value: 91.46469919011143
+    - type: euclidean_pearson
+      value: 91.15157693133415
+    - type: euclidean_spearman
+      value: 91.02656400119739
+    - type: manhattan_pearson
+      value: 91.08411259466446
+    - type: manhattan_spearman
+      value: 90.84339904461068
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STS22 (en)
+      type: mteb/sts22-crosslingual-sts
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 69.08993728439704
+    - type: cos_sim_spearman
+      value: 69.20885645170797
+    - type: euclidean_pearson
+      value: 69.65638507632245
+    - type: euclidean_spearman
+      value: 68.69831912688514
+    - type: manhattan_pearson
+      value: 69.86621764969294
+    - type: manhattan_spearman
+      value: 69.05446631856769
+  - task:
+      type: STS
+    dataset:
+      name: MTEB STSBenchmark
+      type: mteb/stsbenchmark-sts
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.96149243197495
+    - type: cos_sim_spearman
+      value: 87.43145597912833
+    - type: euclidean_pearson
+      value: 86.6762329641158
+    - type: euclidean_spearman
+      value: 86.67085254401809
+    - type: manhattan_pearson
+      value: 87.06412701458164
+    - type: manhattan_spearman
+      value: 87.10197412769807
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB SciDocsRR
+      type: mteb/scidocs-reranking
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 86.43440918697488
+    - type: mrr
+      value: 96.3954826945023
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB SciFact
+      type: scifact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 60.494
+    - type: map_at_10
+      value: 72.074
+    - type: map_at_100
+      value: 72.475
+    - type: map_at_1000
+      value: 72.483
+    - type: map_at_3
+      value: 68.983
+    - type: map_at_5
+      value: 71.161
+    - type: mrr_at_1
+      value: 63.666999999999994
+    - type: mrr_at_10
+      value: 73.31299999999999
+    - type: mrr_at_100
+      value: 73.566
+    - type: mrr_at_1000
+      value: 73.574
+    - type: mrr_at_3
+      value: 71.111
+    - type: mrr_at_5
+      value: 72.72800000000001
+    - type: ndcg_at_1
+      value: 63.666999999999994
+    - type: ndcg_at_10
+      value: 77.024
+    - type: ndcg_at_100
+      value: 78.524
+    - type: ndcg_at_1000
+      value: 78.842
+    - type: ndcg_at_3
+      value: 72.019
+    - type: ndcg_at_5
+      value: 75.22999999999999
+    - type: precision_at_1
+      value: 63.666999999999994
+    - type: precision_at_10
+      value: 10.2
+    - type: precision_at_100
+      value: 1.103
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 28.111000000000004
+    - type: precision_at_5
+      value: 19.0
+    - type: recall_at_1
+      value: 60.494
+    - type: recall_at_10
+      value: 90.8
+    - type: recall_at_100
+      value: 97.333
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 77.644
+    - type: recall_at_5
+      value: 85.694
+  - task:
+      type: PairClassification
+    dataset:
+      name: MTEB SprintDuplicateQuestions
+      type: mteb/sprintduplicatequestions-pairclassification
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.68415841584158
+    - type: cos_sim_ap
+      value: 91.23713949701548
+    - type: cos_sim_f1
+      value: 83.70221327967808
+    - type: cos_sim_precision
+      value: 84.21052631578947
+    - type: cos_sim_recall
+      value: 83.2
+    - type: dot_accuracy
+      value: 99.5
+    - type: dot_ap
+      value: 79.46312132270363
+    - type: dot_f1
+      value: 72.75320970042794
+    - type: dot_precision
+      value: 69.35630099728014
+    - type: dot_recall
+      value: 76.5
+    - type: euclidean_accuracy
+      value: 99.69108910891089
+    - type: euclidean_ap
+      value: 90.9016163254649
+    - type: euclidean_f1
+      value: 83.91752577319586
+    - type: euclidean_precision
+      value: 86.59574468085106
+    - type: euclidean_recall
+      value: 81.39999999999999
+    - type: manhattan_accuracy
+      value: 99.7039603960396
+    - type: manhattan_ap
+      value: 91.5593806619311
+    - type: manhattan_f1
+      value: 85.08124076809453
+    - type: manhattan_precision
+      value: 83.80213385063045
+    - type: manhattan_recall
+      value: 86.4
+    - type: max_accuracy
+      value: 99.7039603960396
+    - type: max_ap
+      value: 91.5593806619311
+    - type: max_f1
+      value: 85.08124076809453
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB StackExchangeClustering
+      type: mteb/stackexchange-clustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 74.40806543281603
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB StackExchangeClusteringP2P
+      type: mteb/stackexchange-clustering-p2p
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 38.51757703316821
+  - task:
+      type: Reranking
+    dataset:
+      name: MTEB StackOverflowDupQuestions
+      type: mteb/stackoverflowdupquestions-reranking
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 54.33475593449746
+    - type: mrr
+      value: 55.3374474789916
+  - task:
+      type: Summarization
+    dataset:
+      name: MTEB SummEval
+      type: mteb/summeval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.249926396023596
+    - type: cos_sim_spearman
+      value: 29.820375700458158
+    - type: dot_pearson
+      value: 28.820307635930355
+    - type: dot_spearman
+      value: 28.824273052746825
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB TRECCOVID
+      type: trec-covid
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.233
+    - type: map_at_10
+      value: 2.061
+    - type: map_at_100
+      value: 12.607
+    - type: map_at_1000
+      value: 30.031000000000002
+    - type: map_at_3
+      value: 0.6669999999999999
+    - type: map_at_5
+      value: 1.091
+    - type: mrr_at_1
+      value: 88.0
+    - type: mrr_at_10
+      value: 93.067
+    - type: mrr_at_100
+      value: 93.067
+    - type: mrr_at_1000
+      value: 93.067
+    - type: mrr_at_3
+      value: 92.667
+    - type: mrr_at_5
+      value: 93.067
+    - type: ndcg_at_1
+      value: 84.0
+    - type: ndcg_at_10
+      value: 81.072
+    - type: ndcg_at_100
+      value: 62.875
+    - type: ndcg_at_1000
+      value: 55.641
+    - type: ndcg_at_3
+      value: 85.296
+    - type: ndcg_at_5
+      value: 84.10499999999999
+    - type: precision_at_1
+      value: 88.0
+    - type: precision_at_10
+      value: 83.39999999999999
+    - type: precision_at_100
+      value: 63.7
+    - type: precision_at_1000
+      value: 24.622
+    - type: precision_at_3
+      value: 88.0
+    - type: precision_at_5
+      value: 87.2
+    - type: recall_at_1
+      value: 0.233
+    - type: recall_at_10
+      value: 2.188
+    - type: recall_at_100
+      value: 15.52
+    - type: recall_at_1000
+      value: 52.05499999999999
+    - type: recall_at_3
+      value: 0.6859999999999999
+    - type: recall_at_5
+      value: 1.1440000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      name: MTEB Touche2020
+      type: webis-touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.19
+    - type: map_at_10
+      value: 11.491999999999999
+    - type: map_at_100
+      value: 17.251
+    - type: map_at_1000
+      value: 18.795
+    - type: map_at_3
+      value: 6.146
+    - type: map_at_5
+      value: 8.113
+    - type: mrr_at_1
+      value: 44.897999999999996
+    - type: mrr_at_10
+      value: 56.57
+    - type: mrr_at_100
+      value: 57.348
+    - type: mrr_at_1000
+      value: 57.357
+    - type: mrr_at_3
+      value: 52.041000000000004
+    - type: mrr_at_5
+      value: 55.408
+    - type: ndcg_at_1
+      value: 40.816
+    - type: ndcg_at_10
+      value: 27.968
+    - type: ndcg_at_100
+      value: 39.0
+    - type: ndcg_at_1000
+      value: 50.292
+    - type: ndcg_at_3
+      value: 31.256
+    - type: ndcg_at_5
+      value: 28.855999999999998
+    - type: precision_at_1
+      value: 44.897999999999996
+    - type: precision_at_10
+      value: 24.285999999999998
+    - type: precision_at_100
+      value: 7.898
+    - type: precision_at_1000
+      value: 1.541
+    - type: precision_at_3
+      value: 30.612000000000002
+    - type: precision_at_5
+      value: 27.346999999999998
+    - type: recall_at_1
+      value: 3.19
+    - type: recall_at_10
+      value: 17.954
+    - type: recall_at_100
+      value: 48.793
+    - type: recall_at_1000
+      value: 83.357
+    - type: recall_at_3
+      value: 6.973999999999999
+    - type: recall_at_5
+      value: 10.391
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB ToxicConversationsClassification
+      type: mteb/toxic_conversations_50k
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 70.89139999999999
+    - type: ap
+      value: 15.562539739828049
+    - type: f1
+      value: 55.38685639741247
+  - task:
+      type: Classification
+    dataset:
+      name: MTEB TweetSentimentExtractionClassification
+      type: mteb/tweet_sentiment_extraction
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 62.48160724391625
+    - type: f1
+      value: 62.76700854121342
+  - task:
+      type: Clustering
+    dataset:
+      name: MTEB TwentyNewsgroupsClustering
+      type: mteb/twentynewsgroups-clustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 57.157071531498275
+  - task:
+      type: PairClassification
+    dataset:
+      name: MTEB TwitterSemEval2015
+      type: mteb/twittersemeval2015-pairclassification
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.15503367705789
+    - type: cos_sim_ap
+      value: 77.20584529783206
+    - type: cos_sim_f1
+      value: 71.3558088770313
+    - type: cos_sim_precision
+      value: 66.02333931777379
+    - type: cos_sim_recall
+      value: 77.62532981530343
+    - type: dot_accuracy
+      value: 83.10186564940096
+    - type: dot_ap
+      value: 64.34160146443133
+    - type: dot_f1
+      value: 63.23048153342683
+    - type: dot_precision
+      value: 56.75618967687789
+    - type: dot_recall
+      value: 71.37203166226914
+    - type: euclidean_accuracy
+      value: 86.94045419324074
+    - type: euclidean_ap
+      value: 76.08471767931738
+    - type: euclidean_f1
+      value: 71.41248592518455
+    - type: euclidean_precision
+      value: 67.90387818225078
+    - type: euclidean_recall
+      value: 75.30343007915567
+    - type: manhattan_accuracy
+      value: 86.80932228646361
+    - type: manhattan_ap
+      value: 76.03862870753638
+    - type: manhattan_f1
+      value: 71.2660917385327
+    - type: manhattan_precision
+      value: 67.70363334124912
+    - type: manhattan_recall
+      value: 75.22427440633246
+    - type: max_accuracy
+      value: 87.15503367705789
+    - type: max_ap
+      value: 77.20584529783206
+    - type: max_f1
+      value: 71.41248592518455
+  - task:
+      type: PairClassification
+    dataset:
+      name: MTEB TwitterURLCorpus
+      type: mteb/twitterurlcorpus-pairclassification
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.42639810610471
+    - type: cos_sim_ap
+      value: 86.45196525133669
+    - type: cos_sim_f1
+      value: 79.25172592977508
+    - type: cos_sim_precision
+      value: 76.50852802063925
+    - type: cos_sim_recall
+      value: 82.19895287958116
+    - type: dot_accuracy
+      value: 87.03768385919976
+    - type: dot_ap
+      value: 80.86465404774172
+    - type: dot_f1
+      value: 74.50351637940457
+    - type: dot_precision
+      value: 70.72293324109305
+    - type: dot_recall
+      value: 78.71111795503542
+    - type: euclidean_accuracy
+      value: 89.29056545193464
+    - type: euclidean_ap
+      value: 86.25102188096191
+    - type: euclidean_f1
+      value: 79.05038057267126
+    - type: euclidean_precision
+      value: 74.681550472538
+    - type: euclidean_recall
+      value: 83.9621188789652
+    - type: manhattan_accuracy
+      value: 89.34877944657896
+    - type: manhattan_ap
+      value: 86.35336214205911
+    - type: manhattan_f1
+      value: 79.20192588269623
+    - type: manhattan_precision
+      value: 75.24951483227058
+    - type: manhattan_recall
+      value: 83.59254696643055
+    - type: max_accuracy
+      value: 89.42639810610471
+    - type: max_ap
+      value: 86.45196525133669
+    - type: max_f1
+      value: 79.25172592977508
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## GritLM/GritLM-8x7B - GGUF
+
+This repo contains GGUF format model files for [GritLM/GritLM-8x7B](https://huggingface.co/GritLM/GritLM-8x7B).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+<s><|user|>
+{prompt}
+<|assistant|>
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [GritLM-8x7B-Q2_K.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q2_K.gguf) | Q2_K | 17.311 GB | smallest, significant quality loss - not recommended for most purposes |
+| [GritLM-8x7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q3_K_S.gguf) | Q3_K_S | 20.433 GB | very small, high quality loss |
+| [GritLM-8x7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q3_K_M.gguf) | Q3_K_M | 22.546 GB | very small, high quality loss |
+| [GritLM-8x7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q3_K_L.gguf) | Q3_K_L | 24.170 GB | small, substantial quality loss |
+| [GritLM-8x7B-Q4_0.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q4_0.gguf) | Q4_0 | 26.444 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [GritLM-8x7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q4_K_S.gguf) | Q4_K_S | 26.746 GB | small, greater quality loss |
+| [GritLM-8x7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q4_K_M.gguf) | Q4_K_M | 28.448 GB | medium, balanced quality - recommended |
+| [GritLM-8x7B-Q5_0.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q5_0.gguf) | Q5_0 | 32.231 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [GritLM-8x7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q5_K_S.gguf) | Q5_K_S | 32.231 GB | large, low quality loss - recommended |
+| [GritLM-8x7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q5_K_M.gguf) | Q5_K_M | 33.230 GB | large, very low quality loss - recommended |
+| [GritLM-8x7B-Q6_K.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q6_K.gguf) | Q6_K | 38.381 GB | very large, extremely low quality loss |
+| [GritLM-8x7B-Q8_0.gguf](https://huggingface.co/tensorblock/GritLM-8x7B-GGUF/blob/main/GritLM-8x7B-Q8_0.gguf) | Q8_0 | 49.626 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/GritLM-8x7B-GGUF --include "GritLM-8x7B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/GritLM-8x7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```