Model: AdrienB134/llm2vec-occiglot-mntp
Author: AdrienB134
Tags: safetensors, generated_from_trainer, mteb, fr, base_model:occiglot/occiglot-7b-fr-en, base_model:finetune:occiglot/occiglot-7b-fr-en, license:apache-2.0, model-index, region:us
Base models (finetune): id: occiglot/occiglot-7b-fr-en
Card metadata: license: apache-2.0
base_model: occiglot/occiglot-7b-fr-en
tags: generated_from_trainer, mteb
metrics: accuracy
model-index: name: llm2vec-occiglot-mntp
results: task: type: Clustering
dataset: type: lyon-nlp/alloprof
name: MTEB AlloProfClusteringP2P
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics: type: v_measure
value: 63.99706100543374
verified: no, type: v_measures
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0.6765111319025582
verified: no, task: type: Clustering
dataset: type: lyon-nlp/alloprof
name: MTEB AlloProfClusteringS2S
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics: type: v_measure
value: 29.932569372425572
verified: no, type: v_measures
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0.2624750092062693
verified: no, task: type: Reranking
dataset: type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
name: MTEB AlloprofReranking
config: default
split: test
revision: e40c8a63ce02da43200eccb5b0846fcaa888f562
metrics: type: map
value: 37.09270648443667
verified: no, type: mrr
value: 37.65235627929929
verified: no, task: type: Retrieval
dataset: type: lyon-nlp/alloprof
name: MTEB AlloprofRetrieval
config: default
split: test
revision: fcf295ea64c750f41fadbaa37b9b861558e1bfbd
metrics: type: map_at_1
value: 3.325
verified: no, type: map_at_10
value: 5.473999999999999
verified: no, type: map_at_100
value: 6.156
verified: no, type: map_at_1000
value: 6.319
verified: no, type: map_at_20
value: 5.756
verified: no, type: map_at_3
value: 4.662999999999999
verified: no, type: map_at_5
value: 5.101
verified: no, type: mrr_at_1
value: 3.325
verified: no, type: mrr_at_10
value: 5.473999999999999
verified: no, type: mrr_at_100
value: 6.156
verified: no, type: mrr_at_1000
value: 6.319
verified: no, type: mrr_at_20
value: 5.756
verified: no, type: mrr_at_3
value: 4.662999999999999
verified: no, type: mrr_at_5
value: 5.101
verified: no, type: ndcg_at_1
value: 3.325
verified: no, type: ndcg_at_10
value: 6.834999999999999
verified: no, type: ndcg_at_100
value: 11.023
verified: no, type: ndcg_at_1000
value: 16.580000000000002
verified: no, type: ndcg_at_20
value: 7.854
verified: no, type: ndcg_at_3
value: 5.127000000000001
verified: no, type: ndcg_at_5
value: 5.913
verified: no, type: precision_at_1
value: 3.325
verified: no, type: precision_at_10
value: 1.127
verified: no, type: precision_at_100
value: 0.329
verified: no, type: precision_at_1000
value: 0.079
verified: no, type: precision_at_20
value: 0.764
verified: no, type: precision_at_3
value: 2.1590000000000003
verified: no, type: precision_at_5
value: 1.675
verified: no, type: recall_at_1
value: 3.325
verified: no, type: recall_at_10
value: 11.269
verified: no, type: recall_at_100
value: 32.945
verified: no, type: recall_at_1000
value: 79.318
verified: no, type: recall_at_20
value: 15.285000000000002
verified: no, type: recall_at_3
value: 6.476999999999999
verified: no, type: recall_at_5
value: 8.376999999999999
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (fr)
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 35.071999999999996
verified: no, type: f1
value: 34.756733638269665
verified: no, type: scores_per_experiment
value: accuracy: 0.3344
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f1: 0.3165252273919795, accuracy: 0.3514
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verified: no, task: type: Retrieval
dataset: type: maastrichtlawtech/bsard
name: MTEB BSARDRetrieval
config: default
split: test
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
metrics: type: map_at_1
value: 0.901
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verified: no, type: map_at_100
value: 2.046
verified: no, type: map_at_1000
value: 2.147
verified: no, type: map_at_20
value: 1.8030000000000002
verified: no, type: map_at_3
value: 1.126
verified: no, type: map_at_5
value: 1.486
verified: no, type: mrr_at_1
value: 0.901
verified: no, type: mrr_at_10
value: 1.6150000000000002
verified: no, type: mrr_at_100
value: 2.046
verified: no, type: mrr_at_1000
value: 2.147
verified: no, type: mrr_at_20
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verified: no, type: mrr_at_3
value: 1.126
verified: no, type: mrr_at_5
value: 1.486
verified: no, type: ndcg_at_1
value: 0.901
verified: no, type: ndcg_at_10
value: 2.182
verified: no, type: ndcg_at_100
value: 4.926
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value: 7.825
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value: 2.8649999999999998
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value: 1.185
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value: 1.882
verified: no, type: precision_at_1
value: 0.901
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value: 0.40499999999999997
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value: 0.185
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value: 0.042
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value: 0.338
verified: no, type: precision_at_3
value: 0.44999999999999996
verified: no, type: precision_at_5
value: 0.631
verified: no, type: recall_at_1
value: 0.901
verified: no, type: recall_at_10
value: 4.054
verified: no, type: recall_at_100
value: 18.468
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value: 41.892
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value: 6.757000000000001
verified: no, type: recall_at_3
value: 1.351
verified: no, type: recall_at_5
value: 3.1530000000000005
verified: no, task: type: Clustering
dataset: type: lyon-nlp/clustering-hal-s2s
name: MTEB HALClusteringS2S
config: default
split: test
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
metrics: type: v_measure
value: 20.821362086725557
verified: no, type: v_measures
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verified: no, task: type: Clustering
dataset: type: mlsum
name: MTEB MLSUMClusteringP2P (fr)
config: fr
split: test
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
metrics: type: v_measure
value: 45.2570658673633
verified: no, type: v_measures
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verified: no, task: type: Clustering
dataset: type: mlsum
name: MTEB MLSUMClusteringS2S (fr)
config: fr
split: test
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
metrics: type: v_measure
value: 44.94685216731792
verified: no, type: v_measures
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verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (fr)
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 75.69996868149076
verified: no, type: f1
value: 75.40911375049545
verified: no, type: scores_per_experiment
value: accuracy: 0.7788913247729408
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verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (fr)
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 63.75822110867524
verified: no, type: f1
value: 42.22367596410695
verified: no, type: scores_per_experiment
value: accuracy: 0.6623864704040088
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verified: no, task: type: Classification
dataset: type: masakhane/masakhanews
name: MTEB MasakhaNEWSClassification (eng)
config: eng
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics: type: accuracy
value: 77.91139240506328
verified: no, type: f1
value: 77.05013060581847
verified: no, type: scores_per_experiment
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verified: no, task: type: Classification
dataset: type: masakhane/masakhanews
name: MTEB MasakhaNEWSClassification (fra)
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics: type: accuracy
value: 75.9952606635071
verified: no, type: f1
value: 72.14436891647776
verified: no, type: scores_per_experiment
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verified: no, task: type: Clustering
dataset: type: masakhane/masakhanews
name: MTEB MasakhaNEWSClusteringP2P (eng)
config: eng
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics: type: v_measure
value: 58.30018967761718
verified: no, type: v_measures
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verified: no, task: type: Clustering
dataset: type: masakhane/masakhanews
name: MTEB MasakhaNEWSClusteringP2P (fra)
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics: type: v_measure
value: 51.33788486523143
verified: no, type: v_measures
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verified: no, task: type: Clustering
dataset: type: masakhane/masakhanews
name: MTEB MasakhaNEWSClusteringS2S (eng)
config: eng
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics: type: v_measure
value: 35.12771102662738
verified: no, type: v_measures
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verified: no, task: type: Clustering
dataset: type: masakhane/masakhanews
name: MTEB MasakhaNEWSClusteringS2S (fra)
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics: type: v_measure
value: 32.200350451108655
verified: no, type: v_measures
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verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (fr)
config: fr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 56.028917283120386
verified: no, type: f1
value: 52.65339345173721
verified: no, type: scores_per_experiment
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verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (fr)
config: fr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 59.297242770679226
verified: no, type: f1
value: 57.613317912056885
verified: no, type: scores_per_experiment
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verified: no, task: type: Retrieval
dataset: type: jinaai/mintakaqa
name: MTEB MintakaRetrieval (fr)
config: fr
split: test
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
metrics: type: map_at_1
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verified: no, type: precision_at_1
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verified: no, type: recall_at_1
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verified: no, type: recall_at_10
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verified: no, type: recall_at_100
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verified: no, type: recall_at_20
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verified: no, type: recall_at_3
value: 1.351
verified: no, type: recall_at_5
value: 2.007
verified: no, task: type: Classification
dataset: type: allocine
name: MTEB MovieReviewSentimentClassification
config: default
split: test
revision: a4654f4896408912913a62ace89614879a549287
metrics: type: accuracy
value: 81.71875
verified: no, type: ap
value: 75.47842425736047
verified: no, type: f1
value: 81.5713940370767
verified: no, type: scores_per_experiment
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ap: 0.7643203170127182
f1: 0.8421628921596114
verified: no, task: type: PairClassification
dataset: type: GEM/opusparcus
name: MTEB OpusparcusPC (fr)
config: fr
split: test
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
metrics: type: cos_sim_accuracy
value: 99.90069513406156
verified: no, type: cos_sim_ap
value: 100
verified: no, type: cos_sim_f1
value: 99.95032290114257
verified: no, type: cos_sim_precision
value: 100
verified: no, type: cos_sim_recall
value: 99.90069513406156
verified: no, type: dot_accuracy
value: 99.90069513406156
verified: no, type: dot_ap
value: 100
verified: no, type: dot_f1
value: 99.95032290114257
verified: no, type: dot_precision
value: 100
verified: no, type: dot_recall
value: 99.90069513406156
verified: no, type: euclidean_accuracy
value: 99.90069513406156
verified: no, type: euclidean_ap
value: 100
verified: no, type: euclidean_f1
value: 99.95032290114257
verified: no, type: euclidean_precision
value: 100
verified: no, type: euclidean_recall
value: 99.90069513406156
verified: no, type: manhattan_accuracy
value: 99.90069513406156
verified: no, type: manhattan_ap
value: 100
verified: no, type: manhattan_f1
value: 99.95032290114257
verified: no, type: manhattan_precision
value: 100
verified: no, type: manhattan_recall
value: 99.90069513406156
verified: no, type: max_accuracy
value: 99.90069513406156
verified: no, type: max_ap
value: 100
verified: no, type: max_f1
value: 99.95032290114257
verified: no, task: type: PairClassification
dataset: type: paws-x
name: MTEB PawsX (fr)
config: fr
split: test
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
metrics: type: cos_sim_accuracy
value: 62.2
verified: no, type: cos_sim_ap
value: 61.06853292904232
verified: no, type: cos_sim_f1
value: 62.77423920736024
verified: no, type: cos_sim_precision
value: 46.125845033801355
verified: no, type: cos_sim_recall
value: 98.2281284606866
verified: no, type: dot_accuracy
value: 56.599999999999994
verified: no, type: dot_ap
value: 49.196383003432366
verified: no, type: dot_f1
value: 62.491349480968864
verified: no, type: dot_precision
value: 45.44539506794162
verified: no, type: dot_recall
value: 100
verified: no, type: euclidean_accuracy
value: 62.050000000000004
verified: no, type: euclidean_ap
value: 60.800193112023656
verified: no, type: euclidean_f1
value: 62.800565770862804
verified: no, type: euclidean_precision
value: 46.129870129870135
verified: no, type: euclidean_recall
value: 98.33887043189368
verified: no, type: manhattan_accuracy
value: 62.35000000000001
verified: no, type: manhattan_ap
value: 61.058370414376824
verified: no, type: manhattan_f1
value: 62.82685512367492
verified: no, type: manhattan_precision
value: 46.133886870783606
verified: no, type: manhattan_recall
value: 98.44961240310077
verified: no, type: max_accuracy
value: 62.35000000000001
verified: no, type: max_ap
value: 61.06853292904232
verified: no, type: max_f1
value: 62.82685512367492
verified: no, task: type: STS
dataset: type: Lajavaness/SICK-fr
name: MTEB SICKFr
config: default
split: test
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
metrics: type: cos_sim_pearson
value: 60.96413420799593
verified: no, type: cos_sim_spearman
value: 58.18262720076686
verified: no, type: euclidean_pearson
value: 58.78305606004982
verified: no, type: euclidean_spearman
value: 57.51277670943302
verified: no, type: manhattan_pearson
value: 60.23979598152332
verified: no, type: manhattan_spearman
value: 59.03365066514682
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (fr)
config: fr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics: type: cos_sim_pearson
value: 42.79213665745784
verified: no, type: cos_sim_spearman
value: 67.82830105719044
verified: no, type: euclidean_pearson
value: 51.49974160914888
verified: no, type: euclidean_spearman
value: 68.39759338405578
verified: no, type: manhattan_pearson
value: 53.397979271640054
verified: no, type: manhattan_spearman
value: 69.75326227137708
verified: no, task: type: STS
dataset: type: PhilipMay/stsb_multi_mt
name: MTEB STSBenchmarkMultilingualSTS (fr)
config: fr
split: test
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
metrics: type: cos_sim_pearson
value: 52.24207237860239
verified: no, type: cos_sim_spearman
value: 51.982655539567965
verified: no, type: euclidean_pearson
value: 55.70873380936832
verified: no, type: euclidean_spearman
value: 54.56293527619584
verified: no, type: manhattan_pearson
value: 57.94419279659701
verified: no, type: manhattan_spearman
value: 56.577458741875944
verified: no, task: type: Summarization
dataset: type: lyon-nlp/summarization-summeval-fr-p2p
name: MTEB SummEvalFr
config: default
split: test
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
metrics: type: cos_sim_pearson
value: 28.170707514130306
verified: no, type: cos_sim_spearman
value: 28.718143797860808
verified: no, type: dot_pearson
value: 18.331802861285077
verified: no, type: dot_spearman
value: 18.173321127745957
verified: no, task: type: Reranking
dataset: type: lyon-nlp/mteb-fr-reranking-syntec-s2p
name: MTEB SyntecReranking
config: default
split: test
revision: b205c5084a0934ce8af14338bf03feb19499c84d
metrics: type: map
value: 62.866666666666674
verified: no, type: mrr
value: 62.866666666666674
verified: no, task: type: Retrieval
dataset: type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
name: MTEB SyntecRetrieval
config: default
split: test
revision: 19661ccdca4dfc2d15122d776b61685f48c68ca9
metrics: type: map_at_1
value: 12
verified: no, type: map_at_10
value: 21.644
verified: no, type: map_at_100
value: 24.02
verified: no, type: map_at_1000
value: 24.02
verified: no, type: map_at_20
value: 23.088
verified: no, type: map_at_3
value: 18.167
verified: no, type: map_at_5
value: 19.967
verified: no, type: mrr_at_1
value: 12
verified: no, type: mrr_at_10
value: 21.644
verified: no, type: mrr_at_100
value: 24.02
verified: no, type: mrr_at_1000
value: 24.02
verified: no, type: mrr_at_20
value: 23.088
verified: no, type: mrr_at_3
value: 18.167
verified: no, type: mrr_at_5
value: 19.967
verified: no, type: ndcg_at_1
value: 12
verified: no, type: ndcg_at_10
value: 27.644999999999996
verified: no, type: ndcg_at_100
value: 39.085
verified: no, type: ndcg_at_1000
value: 39.085
verified: no, type: ndcg_at_20
value: 32.940999999999995
verified: no, type: ndcg_at_3
value: 20.416999999999998
verified: no, type: ndcg_at_5
value: 23.687
verified: no, type: precision_at_1
value: 12
verified: no, type: precision_at_10
value: 4.7
verified: no, type: precision_at_100
value: 1
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 3.4000000000000004
verified: no, type: precision_at_3
value: 9
verified: no, type: precision_at_5
value: 7.000000000000001
verified: no, type: recall_at_1
value: 12
verified: no, type: recall_at_10
value: 47
verified: no, type: recall_at_100
value: 100
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 68
verified: no, type: recall_at_3
value: 27
verified: no, type: recall_at_5
value: 35
verified: no, task: type: Retrieval
dataset: type: jinaai/xpqa
name: MTEB XPQARetrieval (fr)
config: fr
split: test
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
metrics: type: map_at_1
value: 14.168
verified: no, type: map_at_10
value: 21.8
verified: no, type: map_at_100
value: 23.066
verified: no, type: map_at_1000
value: 23.265
verified: no, type: map_at_20
value: 22.427
verified: no, type: map_at_3
value: 19.277
verified: no, type: map_at_5
value: 20.693
verified: no, type: mrr_at_1
value: 24.032
verified: no, type: mrr_at_10
value: 29.848000000000003
verified: no, type: mrr_at_100
value: 30.648999999999997
verified: no, type: mrr_at_1000
value: 30.737
verified: no, type: mrr_at_20
value: 30.213
verified: no, type: mrr_at_3
value: 28.126
verified: no, type: mrr_at_5
value: 29.000999999999998
verified: no, type: ndcg_at_1
value: 24.032
verified: no, type: ndcg_at_10
value: 26.39
verified: no, type: ndcg_at_100
value: 31.978
verified: no, type: ndcg_at_1000
value: 36.57
verified: no, type: ndcg_at_20
value: 28.109
verified: no, type: ndcg_at_3
value: 23.46
verified: no, type: ndcg_at_5
value: 24.201
verified: no, type: precision_at_1
value: 24.032
verified: no, type: precision_at_10
value: 6.648999999999999
verified: no, type: precision_at_100
value: 1.172
verified: no, type: precision_at_1000
value: 0.182
verified: no, type: precision_at_20
value: 3.959
verified: no, type: precision_at_3
value: 14.642
verified: no, type: precision_at_5
value: 10.681000000000001
verified: no, type: recall_at_1
value: 14.168
verified: no, type: recall_at_10
value: 31.613000000000003
verified: no, type: recall_at_100
value: 53.996
verified: no, type: recall_at_1000
value: 85.705
verified: no, type: recall_at_20
value: 36.925000000000004
verified: no, type: recall_at_3
value: 22.528000000000002
verified: no, type: recall_at_5
value: 26.344
verified: no
language: fr
Likes: 0 | All-time downloads: 0
Created: 2024-05-14 15:31:26