TencentBAC_Conan-embedding-v1

Name: TencentBAC/Conan-embedding-v1
License: cc-by-nc-4.0

TencentBAC · View on Hugging Face ↗

Get this model

Download Torrent Magnet Link

Seeders: — · Leechers: —

—

Model card

The complete upstream card, rendered from this payload's README.md — the same hash-verified bytes the torrent distributes. Images and off-site links are removed; the original card on Hugging Face carries them.

tags:

mteb language:
- zh model-index:
name: conan-embedding results:
- task: type: STS dataset: type: C-MTEB/AFQMC name: MTEB AFQMC config: default split: validation revision: None metrics:
  - type: cos_sim_pearson value: 56.613572467148856
  - type: cos_sim_spearman value: 60.66446211824284
  - type: euclidean_pearson value: 58.42080485872613
  - type: euclidean_spearman value: 59.82750030458164
  - type: manhattan_pearson value: 58.39885271199772
  - type: manhattan_spearman value: 59.817749720366734
- task: type: STS dataset: type: C-MTEB/ATEC name: MTEB ATEC config: default split: test revision: None metrics:
  - type: cos_sim_pearson value: 56.60530380552331
  - type: cos_sim_spearman value: 58.63822441736707
  - type: euclidean_pearson value: 62.18551665180664
  - type: euclidean_spearman value: 58.23168804495912
  - type: manhattan_pearson value: 62.17191480770053
  - type: manhattan_spearman value: 58.22556219601401
- task: type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (zh) config: zh split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:
  - type: accuracy value: 50.308
  - type: f1 value: 46.927458607895126
- task: type: STS dataset: type: C-MTEB/BQ name: MTEB BQ config: default split: test revision: None metrics:
  - type: cos_sim_pearson value: 72.6472074172711
  - type: cos_sim_spearman value: 74.50748447236577
  - type: euclidean_pearson value: 72.51833296451854
  - type: euclidean_spearman value: 73.9898922606105
  - type: manhattan_pearson value: 72.50184948939338
  - type: manhattan_spearman value: 73.97797921509638
- task: type: Clustering dataset: type: C-MTEB/CLSClusteringP2P name: MTEB CLSClusteringP2P config: default split: test revision: None metrics:
  - type: v_measure value: 60.63545326048343
- task: type: Clustering dataset: type: C-MTEB/CLSClusteringS2S name: MTEB CLSClusteringS2S config: default split: test revision: None metrics:
  - type: v_measure value: 52.64834762325994
- task: type: Reranking dataset: type: C-MTEB/CMedQAv1-reranking name: MTEB CMedQAv1 config: default split: test revision: None metrics:
  - type: map value: 91.38528814655234
  - type: mrr value: 93.35857142857144
- task: type: Reranking dataset: type: C-MTEB/CMedQAv2-reranking name: MTEB CMedQAv2 config: default split: test revision: None metrics:
  - type: map value: 89.72084678877096
  - type: mrr value: 91.74380952380953
- task: type: Retrieval dataset: type: C-MTEB/CmedqaRetrieval name: MTEB CmedqaRetrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 26.987
  - type: map_at_10 value: 40.675
  - type: map_at_100 value: 42.495
  - type: map_at_1000 value: 42.596000000000004
  - type: map_at_3 value: 36.195
  - type: map_at_5 value: 38.704
  - type: mrr_at_1 value: 41.21
  - type: mrr_at_10 value: 49.816
  - type: mrr_at_100 value: 50.743
  - type: mrr_at_1000 value: 50.77700000000001
  - type: mrr_at_3 value: 47.312
  - type: mrr_at_5 value: 48.699999999999996
  - type: ndcg_at_1 value: 41.21
  - type: ndcg_at_10 value: 47.606
  - type: ndcg_at_100 value: 54.457
  - type: ndcg_at_1000 value: 56.16100000000001
  - type: ndcg_at_3 value: 42.108000000000004
  - type: ndcg_at_5 value: 44.393
  - type: precision_at_1 value: 41.21
  - type: precision_at_10 value: 10.593
  - type: precision_at_100 value: 1.609
  - type: precision_at_1000 value: 0.183
  - type: precision_at_3 value: 23.881
  - type: precision_at_5 value: 17.339
  - type: recall_at_1 value: 26.987
  - type: recall_at_10 value: 58.875
  - type: recall_at_100 value: 87.023
  - type: recall_at_1000 value: 98.328
  - type: recall_at_3 value: 42.265
  - type: recall_at_5 value: 49.334
- task: type: PairClassification dataset: type: C-MTEB/CMNLI name: MTEB Cmnli config: default split: validation revision: None metrics:
  - type: cos_sim_accuracy value: 85.91701743836441
  - type: cos_sim_ap value: 92.53650618807644
  - type: cos_sim_f1 value: 86.80265975431082
  - type: cos_sim_precision value: 83.79025239338556
  - type: cos_sim_recall value: 90.039747486556
  - type: dot_accuracy value: 77.17378232110643
  - type: dot_ap value: 85.40244368166546
  - type: dot_f1 value: 79.03038001481951
  - type: dot_precision value: 72.20502901353966
  - type: dot_recall value: 87.2808043020809
  - type: euclidean_accuracy value: 84.65423932651834
  - type: euclidean_ap value: 91.47775530034588
  - type: euclidean_f1 value: 85.64471499723298
  - type: euclidean_precision value: 81.31567885666246
  - type: euclidean_recall value: 90.46060322656068
  - type: manhattan_accuracy value: 84.58208057726999
  - type: manhattan_ap value: 91.46228709402014
  - type: manhattan_f1 value: 85.6631626034444
  - type: manhattan_precision value: 82.10075026795283
  - type: manhattan_recall value: 89.5487491232172
  - type: max_accuracy value: 85.91701743836441
  - type: max_ap value: 92.53650618807644
  - type: max_f1 value: 86.80265975431082
- task: type: Retrieval dataset: type: C-MTEB/CovidRetrieval name: MTEB CovidRetrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 83.693
  - type: map_at_10 value: 90.098
  - type: map_at_100 value: 90.145
  - type: map_at_1000 value: 90.146
  - type: map_at_3 value: 89.445
  - type: map_at_5 value: 89.935
  - type: mrr_at_1 value: 83.878
  - type: mrr_at_10 value: 90.007
  - type: mrr_at_100 value: 90.045
  - type: mrr_at_1000 value: 90.046
  - type: mrr_at_3 value: 89.34
  - type: mrr_at_5 value: 89.835
  - type: ndcg_at_1 value: 84.089
  - type: ndcg_at_10 value: 92.351
  - type: ndcg_at_100 value: 92.54599999999999
  - type: ndcg_at_1000 value: 92.561
  - type: ndcg_at_3 value: 91.15299999999999
  - type: ndcg_at_5 value: 91.968
  - type: precision_at_1 value: 84.089
  - type: precision_at_10 value: 10.011000000000001
  - type: precision_at_100 value: 1.009
  - type: precision_at_1000 value: 0.101
  - type: precision_at_3 value: 32.28
  - type: precision_at_5 value: 19.789
  - type: recall_at_1 value: 83.693
  - type: recall_at_10 value: 99.05199999999999
  - type: recall_at_100 value: 99.895
  - type: recall_at_1000 value: 100
  - type: recall_at_3 value: 95.917
  - type: recall_at_5 value: 97.893
- task: type: Retrieval dataset: type: C-MTEB/DuRetrieval name: MTEB DuRetrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 26.924
  - type: map_at_10 value: 81.392
  - type: map_at_100 value: 84.209
  - type: map_at_1000 value: 84.237
  - type: map_at_3 value: 56.998000000000005
  - type: map_at_5 value: 71.40100000000001
  - type: mrr_at_1 value: 91.75
  - type: mrr_at_10 value: 94.45
  - type: mrr_at_100 value: 94.503
  - type: mrr_at_1000 value: 94.505
  - type: mrr_at_3 value: 94.258
  - type: mrr_at_5 value: 94.381
  - type: ndcg_at_1 value: 91.75
  - type: ndcg_at_10 value: 88.53
  - type: ndcg_at_100 value: 91.13900000000001
  - type: ndcg_at_1000 value: 91.387
  - type: ndcg_at_3 value: 87.925
  - type: ndcg_at_5 value: 86.461
  - type: precision_at_1 value: 91.75
  - type: precision_at_10 value: 42.05
  - type: precision_at_100 value: 4.827
  - type: precision_at_1000 value: 0.48900000000000005
  - type: precision_at_3 value: 78.55
  - type: precision_at_5 value: 65.82000000000001
  - type: recall_at_1 value: 26.924
  - type: recall_at_10 value: 89.338
  - type: recall_at_100 value: 97.856
  - type: recall_at_1000 value: 99.11
  - type: recall_at_3 value: 59.202999999999996
  - type: recall_at_5 value: 75.642
- task: type: Retrieval dataset: type: C-MTEB/EcomRetrieval name: MTEB EcomRetrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 54.800000000000004
  - type: map_at_10 value: 65.613
  - type: map_at_100 value: 66.185
  - type: map_at_1000 value: 66.191
  - type: map_at_3 value: 62.8
  - type: map_at_5 value: 64.535
  - type: mrr_at_1 value: 54.800000000000004
  - type: mrr_at_10 value: 65.613
  - type: mrr_at_100 value: 66.185
  - type: mrr_at_1000 value: 66.191
  - type: mrr_at_3 value: 62.8
  - type: mrr_at_5 value: 64.535
  - type: ndcg_at_1 value: 54.800000000000004
  - type: ndcg_at_10 value: 70.991
  - type: ndcg_at_100 value: 73.434
  - type: ndcg_at_1000 value: 73.587
  - type: ndcg_at_3 value: 65.324
  - type: ndcg_at_5 value: 68.431
  - type: precision_at_1 value: 54.800000000000004
  - type: precision_at_10 value: 8.790000000000001
  - type: precision_at_100 value: 0.9860000000000001
  - type: precision_at_1000 value: 0.1
  - type: precision_at_3 value: 24.2
  - type: precision_at_5 value: 16.02
  - type: recall_at_1 value: 54.800000000000004
  - type: recall_at_10 value: 87.9
  - type: recall_at_100 value: 98.6
  - type: recall_at_1000 value: 99.8
  - type: recall_at_3 value: 72.6
  - type: recall_at_5 value: 80.10000000000001
- task: type: Classification dataset: type: C-MTEB/IFlyTek-classification name: MTEB IFlyTek config: default split: validation revision: None metrics:
  - type: accuracy value: 51.94305502116199
  - type: f1 value: 39.82197338426721
- task: type: Classification dataset: type: C-MTEB/JDReview-classification name: MTEB JDReview config: default split: test revision: None metrics:
  - type: accuracy value: 90.31894934333957
  - type: ap value: 63.89821836499594
  - type: f1 value: 85.93687177603624
- task: type: STS dataset: type: C-MTEB/LCQMC name: MTEB LCQMC config: default split: test revision: None metrics:
  - type: cos_sim_pearson value: 73.18906216730208
  - type: cos_sim_spearman value: 79.44570226735877
  - type: euclidean_pearson value: 78.8105072242798
  - type: euclidean_spearman value: 79.15605680863212
  - type: manhattan_pearson value: 78.80576507484064
  - type: manhattan_spearman value: 79.14625534068364
- task: type: Reranking dataset: type: C-MTEB/Mmarco-reranking name: MTEB MMarcoReranking config: default split: dev revision: None metrics:
  - type: map value: 41.58107192600853
  - type: mrr value: 41.37063492063492
- task: type: Retrieval dataset: type: C-MTEB/MMarcoRetrieval name: MTEB MMarcoRetrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 68.33
  - type: map_at_10 value: 78.261
  - type: map_at_100 value: 78.522
  - type: map_at_1000 value: 78.527
  - type: map_at_3 value: 76.236
  - type: map_at_5 value: 77.557
  - type: mrr_at_1 value: 70.602
  - type: mrr_at_10 value: 78.779
  - type: mrr_at_100 value: 79.00500000000001
  - type: mrr_at_1000 value: 79.01
  - type: mrr_at_3 value: 77.037
  - type: mrr_at_5 value: 78.157
  - type: ndcg_at_1 value: 70.602
  - type: ndcg_at_10 value: 82.254
  - type: ndcg_at_100 value: 83.319
  - type: ndcg_at_1000 value: 83.449
  - type: ndcg_at_3 value: 78.46
  - type: ndcg_at_5 value: 80.679
  - type: precision_at_1 value: 70.602
  - type: precision_at_10 value: 9.989
  - type: precision_at_100 value: 1.05
  - type: precision_at_1000 value: 0.106
  - type: precision_at_3 value: 29.598999999999997
  - type: precision_at_5 value: 18.948
  - type: recall_at_1 value: 68.33
  - type: recall_at_10 value: 94.00800000000001
  - type: recall_at_100 value: 98.589
  - type: recall_at_1000 value: 99.60799999999999
  - type: recall_at_3 value: 84.057
  - type: recall_at_5 value: 89.32900000000001
- task: type: Classification dataset: type: mteb/amazon_massive_intent name: MTEB MassiveIntentClassification (zh-CN) config: zh-CN split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics:
  - type: accuracy value: 78.13718897108272
  - type: f1 value: 74.07613180855328
- task: type: Classification dataset: type: mteb/amazon_massive_scenario name: MTEB MassiveScenarioClassification (zh-CN) config: zh-CN split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics:
  - type: accuracy value: 86.20040349697376
  - type: f1 value: 85.05282136519973
- task: type: Retrieval dataset: type: C-MTEB/MedicalRetrieval name: MTEB MedicalRetrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 56.8
  - type: map_at_10 value: 64.199
  - type: map_at_100 value: 64.89
  - type: map_at_1000 value: 64.917
  - type: map_at_3 value: 62.383
  - type: map_at_5 value: 63.378
  - type: mrr_at_1 value: 56.8
  - type: mrr_at_10 value: 64.199
  - type: mrr_at_100 value: 64.89
  - type: mrr_at_1000 value: 64.917
  - type: mrr_at_3 value: 62.383
  - type: mrr_at_5 value: 63.378
  - type: ndcg_at_1 value: 56.8
  - type: ndcg_at_10 value: 67.944
  - type: ndcg_at_100 value: 71.286
  - type: ndcg_at_1000 value: 71.879
  - type: ndcg_at_3 value: 64.163
  - type: ndcg_at_5 value: 65.96600000000001
  - type: precision_at_1 value: 56.8
  - type: precision_at_10 value: 7.9799999999999995
  - type: precision_at_100 value: 0.954
  - type: precision_at_1000 value: 0.1
  - type: precision_at_3 value: 23.1
  - type: precision_at_5 value: 14.74
  - type: recall_at_1 value: 56.8
  - type: recall_at_10 value: 79.80000000000001
  - type: recall_at_100 value: 95.39999999999999
  - type: recall_at_1000 value: 99.8
  - type: recall_at_3 value: 69.3
  - type: recall_at_5 value: 73.7
- task: type: Classification dataset: type: C-MTEB/MultilingualSentiment-classification name: MTEB MultilingualSentiment config: default split: validation revision: None metrics:
  - type: accuracy value: 78.57666666666667
  - type: f1 value: 78.23373528202681
- task: type: PairClassification dataset: type: C-MTEB/OCNLI name: MTEB Ocnli config: default split: validation revision: None metrics:
  - type: cos_sim_accuracy value: 85.43584190579317
  - type: cos_sim_ap value: 90.76665640338129
  - type: cos_sim_f1 value: 86.5021770682148
  - type: cos_sim_precision value: 79.82142857142858
  - type: cos_sim_recall value: 94.40337909186906
  - type: dot_accuracy value: 78.66811044937737
  - type: dot_ap value: 85.84084363880804
  - type: dot_f1 value: 80.10075566750629
  - type: dot_precision value: 76.58959537572254
  - type: dot_recall value: 83.9493136219641
  - type: euclidean_accuracy value: 84.46128857606931
  - type: euclidean_ap value: 88.62351100230491
  - type: euclidean_f1 value: 85.7709469509172
  - type: euclidean_precision value: 80.8411214953271
  - type: euclidean_recall value: 91.34107708553326
  - type: manhattan_accuracy value: 84.51543042772063
  - type: manhattan_ap value: 88.53975607870393
  - type: manhattan_f1 value: 85.75697211155378
  - type: manhattan_precision value: 81.14985862393968
  - type: manhattan_recall value: 90.91869060190075
  - type: max_accuracy value: 85.43584190579317
  - type: max_ap value: 90.76665640338129
  - type: max_f1 value: 86.5021770682148
- task: type: Classification dataset: type: C-MTEB/OnlineShopping-classification name: MTEB OnlineShopping config: default split: test revision: None metrics:
  - type: accuracy value: 95.06999999999998
  - type: ap value: 93.45104559324996
  - type: f1 value: 95.06036329426092
- task: type: STS dataset: type: C-MTEB/PAWSX name: MTEB PAWSX config: default split: test revision: None metrics:
  - type: cos_sim_pearson value: 40.01998290519605
  - type: cos_sim_spearman value: 46.5989769986853
  - type: euclidean_pearson value: 45.37905883182924
  - type: euclidean_spearman value: 46.22213849806378
  - type: manhattan_pearson value: 45.40925124776211
  - type: manhattan_spearman value: 46.250705124226386
- task: type: STS dataset: type: C-MTEB/QBQTC name: MTEB QBQTC config: default split: test revision: None metrics:
  - type: cos_sim_pearson value: 42.719516197112526
  - type: cos_sim_spearman value: 44.57507789581106
  - type: euclidean_pearson value: 35.73062264160721
  - type: euclidean_spearman value: 40.473523909913695
  - type: manhattan_pearson value: 35.69868964086357
  - type: manhattan_spearman value: 40.46349925372903
- task: type: STS dataset: type: mteb/sts22-crosslingual-sts name: MTEB STS22 (zh) config: zh split: test revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 metrics:
  - type: cos_sim_pearson value: 62.340118285801104
  - type: cos_sim_spearman value: 67.72781908620632
  - type: euclidean_pearson value: 63.161965746091596
  - type: euclidean_spearman value: 67.36825684340769
  - type: manhattan_pearson value: 63.089863788261425
  - type: manhattan_spearman value: 67.40868898995384
- task: type: STS dataset: type: C-MTEB/STSB name: MTEB STSB config: default split: test revision: None metrics:
  - type: cos_sim_pearson value: 79.1646360962365
  - type: cos_sim_spearman value: 81.24426700767087
  - type: euclidean_pearson value: 79.43826409936123
  - type: euclidean_spearman value: 79.71787965300125
  - type: manhattan_pearson value: 79.43377784961737
  - type: manhattan_spearman value: 79.69348376886967
- task: type: Reranking dataset: type: C-MTEB/T2Reranking name: MTEB T2Reranking config: default split: dev revision: None metrics:
  - type: map value: 68.35595092507496
  - type: mrr value: 79.00244892585788
- task: type: Retrieval dataset: type: C-MTEB/T2Retrieval name: MTEB T2Retrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 26.588
  - type: map_at_10 value: 75.327
  - type: map_at_100 value: 79.095
  - type: map_at_1000 value: 79.163
  - type: map_at_3 value: 52.637
  - type: map_at_5 value: 64.802
  - type: mrr_at_1 value: 88.103
  - type: mrr_at_10 value: 91.29899999999999
  - type: mrr_at_100 value: 91.408
  - type: mrr_at_1000 value: 91.411
  - type: mrr_at_3 value: 90.801
  - type: mrr_at_5 value: 91.12700000000001
  - type: ndcg_at_1 value: 88.103
  - type: ndcg_at_10 value: 83.314
  - type: ndcg_at_100 value: 87.201
  - type: ndcg_at_1000 value: 87.83999999999999
  - type: ndcg_at_3 value: 84.408
  - type: ndcg_at_5 value: 83.078
  - type: precision_at_1 value: 88.103
  - type: precision_at_10 value: 41.638999999999996
  - type: precision_at_100 value: 5.006
  - type: precision_at_1000 value: 0.516
  - type: precision_at_3 value: 73.942
  - type: precision_at_5 value: 62.056
  - type: recall_at_1 value: 26.588
  - type: recall_at_10 value: 82.819
  - type: recall_at_100 value: 95.334
  - type: recall_at_1000 value: 98.51299999999999
  - type: recall_at_3 value: 54.74
  - type: recall_at_5 value: 68.864
- task: type: Classification dataset: type: C-MTEB/TNews-classification name: MTEB TNews config: default split: validation revision: None metrics:
  - type: accuracy value: 55.029
  - type: f1 value: 53.043617905026764
- task: type: Clustering dataset: type: C-MTEB/ThuNewsClusteringP2P name: MTEB ThuNewsClusteringP2P config: default split: test revision: None metrics:
  - type: v_measure value: 77.83675116835911
- task: type: Clustering dataset: type: C-MTEB/ThuNewsClusteringS2S name: MTEB ThuNewsClusteringS2S config: default split: test revision: None metrics:
  - type: v_measure value: 74.19701455865277
- task: type: Retrieval dataset: type: C-MTEB/VideoRetrieval name: MTEB VideoRetrieval config: default split: dev revision: None metrics:
  - type: map_at_1 value: 64.7
  - type: map_at_10 value: 75.593
  - type: map_at_100 value: 75.863
  - type: map_at_1000 value: 75.863
  - type: map_at_3 value: 73.63300000000001
  - type: map_at_5 value: 74.923
  - type: mrr_at_1 value: 64.7
  - type: mrr_at_10 value: 75.593
  - type: mrr_at_100 value: 75.863
  - type: mrr_at_1000 value: 75.863
  - type: mrr_at_3 value: 73.63300000000001
  - type: mrr_at_5 value: 74.923
  - type: ndcg_at_1 value: 64.7
  - type: ndcg_at_10 value: 80.399
  - type: ndcg_at_100 value: 81.517
  - type: ndcg_at_1000 value: 81.517
  - type: ndcg_at_3 value: 76.504
  - type: ndcg_at_5 value: 78.79899999999999
  - type: precision_at_1 value: 64.7
  - type: precision_at_10 value: 9.520000000000001
  - type: precision_at_100 value: 1
  - type: precision_at_1000 value: 0.1
  - type: precision_at_3 value: 28.266999999999996
  - type: precision_at_5 value: 18.060000000000002
  - type: recall_at_1 value: 64.7
  - type: recall_at_10 value: 95.19999999999999
  - type: recall_at_100 value: 100
  - type: recall_at_1000 value: 100
  - type: recall_at_3 value: 84.8
  - type: recall_at_5 value: 90.3
- task: type: Classification dataset: type: C-MTEB/waimai-classification name: MTEB Waimai config: default split: test revision: None metrics:
  - type: accuracy value: 89.69999999999999
  - type: ap value: 75.91371640164184
  - type: f1 value: 88.34067777698694

license: cc-by-nc-4.0 library_name: sentence-transformers

Conan-embedding-v1

Performance

Model	Average	CLS	Clustering	Reranking	Retrieval	STS	Pair_CLS
gte-Qwen2-7B-instruct	72.05	75.09	66.06	68.92	76.03	65.33	87.48
xiaobu-embedding-v2	72.43	74.67	65.17	72.58	76.5	64.53	91.87
Conan-embedding-v1	72.62	75.03	66.33	72.76	76.67	64.18	91.66

Methods and Training Detials

Please refer to our technical report.

Citation

If you find our models / papers useful in your research, please consider giving ❤️ and citations. Thanks!

@misc{li2024conanembeddinggeneraltextembedding,
  title={Conan-embedding: General Text Embedding with More and Better Negative Samples}, 
  author={Shiyu Li and Yang Tang and Shizhe Chen and Xi Chen},
  year={2024},
  eprint={2408.15710},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2408.15710}, 
}

About

License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Magnet link

Opens the swarm directly in your torrent client — no file download needed. Copy-paste works too:

magnet:?xt=urn:btih:507532cbc693763a5ff6fbe426a3e2a12ddcad08&dn=TencentBAC_Conan-embedding-v1

Open magnet in torrent client · infohash 507532cbc693763a5ff6fbe426a3e2a12ddcad08

Files & hashes

Path	Size	sha1	sha256
1_Pooling/config.json	297 B (297 B)	b68441c3f37d8bee79501ca0afe536bf19753928	4e103b8e2a31573ea88570523c2db4f13d34e09a26333e8a889268ed907b3822
2_Dense/config.json	116 B (116 B)	795e85185bfaa6e7ecc714be842bb25299c22aa6	04cb736409603781f6cac8d19029b183df838471f36b0583832d30fc0f9510fc
2_Dense/model.safetensors	7.0 MB (7,347,392 B)	507bbe8ecca59338fbe166cef5ed2a83aa9459a0	b47ab3c2d25e02e2a2222fea49710da57e95fbe068d39548d3a174fa7e5e825d
2_Dense/pytorch_model.bin	7.0 MB (7,348,796 B)	7d95700fe85739d58c2d040607a3daa13cad9d17	60cf9fa06b192d0fff51e14b16ba64b11444689642d7179efd45a6178d1ca1cc
README.md	25.7 KB (26,324 B)	cd6e75be9158f94a1262f99ec5e1454b816517ee	57f647b24e094c6df8e98527a3f6dde4d203f53bccbc4ac993afa89054f1f803
config.json	851 B (851 B)	a1b9754138b6d7b5174138ef08d886a72a53746e	fc8fb7fa8941d19634484756368114151757deea8e46a1b4271c2b8a2f98b49f
config_sentence_transformers.json	199 B (199 B)	f07b5c900c44f6c3536cced27c7b8d793d0d98a9	65a49385a8a37c3a5ed551c351a666f074837ce534ddecd1bed87d1786880153
model.safetensors	1.21 GB (1,302,134,568 B)	2551a8bf5e288a6c6a797ead515755db83b09213	af3bb73a4158ae8c4872740ec2a547363b0cc49075a64a15dfac1048af0b5cf2
modules.json	341 B (341 B)	8885f9a958fdc9be2d592c125ff53438ec8b04d8	f83ea5d68ac85ec15f650b350f0dc37b03d63abd60442f518e14c06f479beee6
pytorch_model.bin	1.21 GB (1,302,216,550 B)	d76f965bad3ea43e1cb5a4330c297d8cd25c2c89	4c97e006299fe7b2c369e305d7dd537af3cce5336d0f2252366701899c25678e
sentence_bert_config.json	53 B (53 B)	f789d99277496b282d19020415c5ba9ca79ac875	ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51
special_tokens_map.json	695 B (695 B)	9bbecc17cabbcbd3112c14d6982b51403b264bfa	5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a
tokenizer.json	429.1 KB (439,377 B)	82b2e57a947d76646c17642f21af18da43d6d950	1c4fe7bd360d7b758ab46c2ea7dd6aaa707e719bea05280293aea4a737b50438
tokenizer_config.json	1.4 KB (1,461 B)	bdfcf19f7e95a444cce1e62893910eaaf3bea42f	de2ec2766c807b88a6442718d304a4217c2027aa93dd4060e9677bf92363abb1
vocab.txt	107.0 KB (109,540 B)	ca4f9781030019ab9b253c6dcb8c7878b6dc87a5	45bbac6b341c319adc98a532532882e91a9cefc0329aa57bac9ae761c27b291c

Cite this release

Canonical URL: https://aiseedbank.org/models/TencentBAC_Conan-embedding-v1/
Slug: TencentBAC_Conan-embedding-v1
Infohash: 507532cbc693763a5ff6fbe426a3e2a12ddcad08
License: cc-by-nc-4.0
Signing key fingerprint: 85a3b32c3712427b

Every file carries a locally computed sha256 — verify a download against the signed sums: TencentBAC_Conan-embedding-v1.SHA256SUMS (+ minisign signature).

Provenance

Upstream repository	TencentBAC/Conan-embedding-v1
Revision (pinned)	bb9749a57d4f02fd71722386f8d0f5a9398d7eeb
Fetched at	2026-09-03T20:35:18Z
License at fetch	cc-by-nc-4.0
Snapshot tool	huggingface · seedbank 0.1.0

Trackers

udp://announce.aitorrent.org:6969/announce
http://announce.aitorrent.org:7070/announce
udp://announce2.aitorrent.org:6970/announce
http://announce2.aitorrent.org:7071/announce
udp://tracker.opentrackr.org:1337/announce
udp://open.demonii.com:1337/announce
udp://open.stealth.si:80/announce
udp://exodus.desync.com:6969/announce
udp://tracker.torrent.eu.org:451/announce

✓ verified · rehash-vs-hf-metadata at 2026-09-03T20:35:40Z

cc-by-nc-4.0non-commercial use only2.44 GB (2,619,626,560 bytes)sentence-transformerspytorchsafetensorsbertmtebmodel-index1 language (zh)paper: 2408.15710