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metadata
quantized_by: bartowski
pipeline_tag: text-generation
language:
  - en
  - ar
  - cs
  - de
  - es
  - fr
  - it
  - ja
  - ko
  - nl
  - pt
  - zh
tags:
  - language
  - granite
  - embeddings
  - multilingual
license: apache-2.0
base_model: ibm-granite/granite-embedding-278m-multilingual
model-index:
  - name: ibm-granite/granite-embedding-278m-multilingual
    results:
      - task:
          type: Retrieval
        dataset:
          name: Miracl (en)
          type: miracl/mmteb-miracl
          config: en
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.45557
          - type: ndcg_at_10
            value: 0.49372
          - type: ndcg_at_100
            value: 0.5728
          - type: ndcg_at_1000
            value: 0.59187
          - type: ndcg_at_20
            value: 0.52863
          - type: ndcg_at_3
            value: 0.43969
          - type: ndcg_at_5
            value: 0.45551
          - type: recall_at_1
            value: 0.21785
          - type: recall_at_10
            value: 0.59513
          - type: recall_at_100
            value: 0.85785
          - type: recall_at_1000
            value: 0.96041
          - type: recall_at_20
            value: 0.69357
          - type: recall_at_3
            value: 0.40403
          - type: recall_at_5
            value: 0.48499
      - task:
          type: Retrieval
        dataset:
          name: Miracl (ar)
          type: miracl/mmteb-miracl
          config: ar
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.57459
          - type: ndcg_at_10
            value: 0.64238
          - type: ndcg_at_100
            value: 0.6867
          - type: ndcg_at_1000
            value: 0.6951
          - type: ndcg_at_20
            value: 0.66455
          - type: ndcg_at_3
            value: 0.58162
          - type: ndcg_at_5
            value: 0.60831
          - type: recall_at_1
            value: 0.38064
          - type: recall_at_10
            value: 0.75098
          - type: recall_at_100
            value: 0.91203
          - type: recall_at_1000
            value: 0.96706
          - type: recall_at_20
            value: 0.81978
          - type: recall_at_3
            value: 0.58618
          - type: recall_at_5
            value: 0.66353
      - task:
          type: Retrieval
        dataset:
          name: Miracl (bn)
          type: miracl/mmteb-miracl
          config: bn
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.60341
          - type: ndcg_at_10
            value: 0.68055
          - type: ndcg_at_100
            value: 0.72008
          - type: ndcg_at_1000
            value: 0.72716
          - type: ndcg_at_20
            value: 0.69914
          - type: ndcg_at_3
            value: 0.60805
          - type: ndcg_at_5
            value: 0.64486
          - type: recall_at_1
            value: 0.37948
          - type: recall_at_10
            value: 0.80609
          - type: recall_at_100
            value: 0.94305
          - type: recall_at_1000
            value: 0.98625
          - type: recall_at_20
            value: 0.86141
          - type: recall_at_3
            value: 0.61095
          - type: recall_at_5
            value: 0.71316
      - task:
          type: Retrieval
        dataset:
          name: Miracl (de)
          type: miracl/mmteb-miracl
          config: de
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.45574
          - type: ndcg_at_10
            value: 0.48123
          - type: ndcg_at_100
            value: 0.56049
          - type: ndcg_at_1000
            value: 0.57979
          - type: ndcg_at_20
            value: 0.51785
          - type: ndcg_at_3
            value: 0.41243
          - type: ndcg_at_5
            value: 0.4386
          - type: recall_at_1
            value: 0.20401
          - type: recall_at_10
            value: 0.58779
          - type: recall_at_100
            value: 0.8584
          - type: recall_at_1000
            value: 0.97364
          - type: recall_at_20
            value: 0.69061
          - type: recall_at_3
            value: 0.36573
          - type: recall_at_5
            value: 0.47495
      - task:
          type: Retrieval
        dataset:
          name: Miracl (es)
          type: miracl/mmteb-miracl
          config: es
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.5571
          - type: ndcg_at_10
            value: 0.49688
          - type: ndcg_at_100
            value: 0.60493
          - type: ndcg_at_1000
            value: 0.62922
          - type: ndcg_at_20
            value: 0.54438
          - type: ndcg_at_3
            value: 0.47981
          - type: ndcg_at_5
            value: 0.46584
          - type: recall_at_1
            value: 0.1638
          - type: recall_at_10
            value: 0.54155
          - type: recall_at_100
            value: 0.85136
          - type: recall_at_1000
            value: 0.96951
          - type: recall_at_20
            value: 0.65329
          - type: recall_at_3
            value: 0.31503
          - type: recall_at_5
            value: 0.40356
      - task:
          type: Retrieval
        dataset:
          name: Miracl (fa)
          type: miracl/mmteb-miracl
          config: fa
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.39873
          - type: ndcg_at_10
            value: 0.50226
          - type: ndcg_at_100
            value: 0.56517
          - type: ndcg_at_1000
            value: 0.57967
          - type: ndcg_at_20
            value: 0.5292
          - type: ndcg_at_3
            value: 0.42738
          - type: ndcg_at_5
            value: 0.45843
          - type: recall_at_1
            value: 0.25369
          - type: recall_at_10
            value: 0.63776
          - type: recall_at_100
            value: 0.87686
          - type: recall_at_1000
            value: 0.9671
          - type: recall_at_20
            value: 0.72099
          - type: recall_at_3
            value: 0.43808
          - type: recall_at_5
            value: 0.52378
      - task:
          type: Retrieval
        dataset:
          name: Miracl (fi)
          type: miracl/mmteb-miracl
          config: fi
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.60818
          - type: ndcg_at_10
            value: 0.6746
          - type: ndcg_at_100
            value: 0.71516
          - type: ndcg_at_1000
            value: 0.7218
          - type: ndcg_at_20
            value: 0.69692
          - type: ndcg_at_3
            value: 0.6006
          - type: ndcg_at_5
            value: 0.63842
          - type: recall_at_1
            value: 0.39264
          - type: recall_at_10
            value: 0.78577
          - type: recall_at_100
            value: 0.93291
          - type: recall_at_1000
            value: 0.97493
          - type: recall_at_20
            value: 0.85435
          - type: recall_at_3
            value: 0.61055
          - type: recall_at_5
            value: 0.69774
      - task:
          type: Retrieval
        dataset:
          name: Miracl (fr)
          type: miracl/mmteb-miracl
          config: fr
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.3965
          - type: ndcg_at_10
            value: 0.49891
          - type: ndcg_at_100
            value: 0.56492
          - type: ndcg_at_1000
            value: 0.57837
          - type: ndcg_at_20
            value: 0.53163
          - type: ndcg_at_3
            value: 0.39843
          - type: ndcg_at_5
            value: 0.44416
          - type: recall_at_1
            value: 0.22644
          - type: recall_at_10
            value: 0.65169
          - type: recall_at_100
            value: 0.89786
          - type: recall_at_1000
            value: 0.98081
          - type: recall_at_20
            value: 0.75338
          - type: recall_at_3
            value: 0.39798
          - type: recall_at_5
            value: 0.51001
      - task:
          type: Retrieval
        dataset:
          name: Miracl (hi)
          type: miracl/mmteb-miracl
          config: hi
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.36857
          - type: ndcg_at_10
            value: 0.46141
          - type: ndcg_at_100
            value: 0.52565
          - type: ndcg_at_1000
            value: 0.54319
          - type: ndcg_at_20
            value: 0.49384
          - type: ndcg_at_3
            value: 0.39469
          - type: ndcg_at_5
            value: 0.4184
          - type: recall_at_1
            value: 0.20185
          - type: recall_at_10
            value: 0.59474
          - type: recall_at_100
            value: 0.83385
          - type: recall_at_1000
            value: 0.94813
          - type: recall_at_20
            value: 0.69437
          - type: recall_at_3
            value: 0.38993
          - type: recall_at_5
            value: 0.47881
      - task:
          type: Retrieval
        dataset:
          name: Miracl (id)
          type: miracl/mmteb-miracl
          config: id
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.46354
          - type: ndcg_at_10
            value: 0.47229
          - type: ndcg_at_100
            value: 0.5525
          - type: ndcg_at_1000
            value: 0.57648
          - type: ndcg_at_20
            value: 0.50606
          - type: ndcg_at_3
            value: 0.42538
          - type: ndcg_at_5
            value: 0.43717
          - type: recall_at_1
            value: 0.20787
          - type: recall_at_10
            value: 0.54771
          - type: recall_at_100
            value: 0.80689
          - type: recall_at_1000
            value: 0.94032
          - type: recall_at_20
            value: 0.63842
          - type: recall_at_3
            value: 0.36229
          - type: recall_at_5
            value: 0.44437
      - task:
          type: Retrieval
        dataset:
          name: Miracl (ja)
          type: miracl/mmteb-miracl
          config: ja
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.56279
          - type: ndcg_at_10
            value: 0.6281
          - type: ndcg_at_100
            value: 0.67757
          - type: ndcg_at_1000
            value: 0.68667
          - type: ndcg_at_20
            value: 0.6521
          - type: ndcg_at_3
            value: 0.56226
          - type: ndcg_at_5
            value: 0.5866
          - type: recall_at_1
            value: 0.36648
          - type: recall_at_10
            value: 0.7496
          - type: recall_at_100
            value: 0.92461
          - type: recall_at_1000
            value: 0.97827
          - type: recall_at_20
            value: 0.82326
          - type: recall_at_3
            value: 0.55845
          - type: recall_at_5
            value: 0.63854
      - task:
          type: Retrieval
        dataset:
          name: Miracl (ko)
          type: miracl/mmteb-miracl
          config: ko
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.52582
          - type: ndcg_at_10
            value: 0.59216
          - type: ndcg_at_100
            value: 0.65093
          - type: ndcg_at_1000
            value: 0.66204
          - type: ndcg_at_20
            value: 0.62427
          - type: ndcg_at_3
            value: 0.5373
          - type: ndcg_at_5
            value: 0.55886
          - type: recall_at_1
            value: 0.30521
          - type: recall_at_10
            value: 0.71159
          - type: recall_at_100
            value: 0.90203
          - type: recall_at_1000
            value: 0.96714
          - type: recall_at_20
            value: 0.80209
          - type: recall_at_3
            value: 0.515
          - type: recall_at_5
            value: 0.6071
      - task:
          type: Retrieval
        dataset:
          name: Miracl (ru)
          type: miracl/mmteb-miracl
          config: ru
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.47524
          - type: ndcg_at_10
            value: 0.52349
          - type: ndcg_at_100
            value: 0.59725
          - type: ndcg_at_1000
            value: 0.61313
          - type: ndcg_at_20
            value: 0.55669
          - type: ndcg_at_3
            value: 0.46812
          - type: ndcg_at_5
            value: 0.48442
          - type: recall_at_1
            value: 0.24337
          - type: recall_at_10
            value: 0.62437
          - type: recall_at_100
            value: 0.86489
          - type: recall_at_1000
            value: 0.95266
          - type: recall_at_20
            value: 0.71411
          - type: recall_at_3
            value: 0.42927
          - type: recall_at_5
            value: 0.51258
      - task:
          type: Retrieval
        dataset:
          name: Miracl (sw)
          type: miracl/mmteb-miracl
          config: sw
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.5166
          - type: ndcg_at_10
            value: 0.61271
          - type: ndcg_at_100
            value: 0.66099
          - type: ndcg_at_1000
            value: 0.66867
          - type: ndcg_at_20
            value: 0.63643
          - type: ndcg_at_3
            value: 0.54828
          - type: ndcg_at_5
            value: 0.57382
          - type: recall_at_1
            value: 0.35277
          - type: recall_at_10
            value: 0.74368
          - type: recall_at_100
            value: 0.92261
          - type: recall_at_1000
            value: 0.97109
          - type: recall_at_20
            value: 0.81888
          - type: recall_at_3
            value: 0.56739
          - type: recall_at_5
            value: 0.6421
      - task:
          type: Retrieval
        dataset:
          name: Miracl (te)
          type: miracl/mmteb-miracl
          config: te
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.63768
          - type: ndcg_at_10
            value: 0.79193
          - type: ndcg_at_100
            value: 0.80243
          - type: ndcg_at_1000
            value: 0.80438
          - type: ndcg_at_20
            value: 0.79549
          - type: ndcg_at_3
            value: 0.76031
          - type: ndcg_at_5
            value: 0.77915
          - type: recall_at_1
            value: 0.63084
          - type: recall_at_10
            value: 0.92411
          - type: recall_at_100
            value: 0.97363
          - type: recall_at_1000
            value: 0.98833
          - type: recall_at_20
            value: 0.9374
          - type: recall_at_3
            value: 0.84159
          - type: recall_at_5
            value: 0.88627
      - task:
          type: Retrieval
        dataset:
          name: Miracl (th)
          type: miracl/mmteb-miracl
          config: th
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.66712
          - type: ndcg_at_10
            value: 0.73324
          - type: ndcg_at_100
            value: 0.76633
          - type: ndcg_at_1000
            value: 0.77119
          - type: ndcg_at_20
            value: 0.75243
          - type: ndcg_at_3
            value: 0.67393
          - type: ndcg_at_5
            value: 0.70201
          - type: recall_at_1
            value: 0.47106
          - type: recall_at_10
            value: 0.84294
          - type: recall_at_100
            value: 0.95949
          - type: recall_at_1000
            value: 0.98874
          - type: recall_at_20
            value: 0.90085
          - type: recall_at_3
            value: 0.68456
          - type: recall_at_5
            value: 0.75915
      - task:
          type: Retrieval
        dataset:
          name: Miracl (yo)
          type: miracl/mmteb-miracl
          config: yo
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.4958
          - type: ndcg_at_10
            value: 0.68705
          - type: ndcg_at_100
            value: 0.70664
          - type: ndcg_at_1000
            value: 0.71197
          - type: ndcg_at_20
            value: 0.698
          - type: ndcg_at_3
            value: 0.64793
          - type: ndcg_at_5
            value: 0.66709
          - type: recall_at_1
            value: 0.46289
          - type: recall_at_10
            value: 0.85154
          - type: recall_at_100
            value: 0.93557
          - type: recall_at_1000
            value: 0.97479
          - type: recall_at_20
            value: 0.89076
          - type: recall_at_3
            value: 0.7507
          - type: recall_at_5
            value: 0.79202
      - task:
          type: Retrieval
        dataset:
          name: Miracl (zh)
          type: miracl/mmteb-miracl
          config: zh
          split: dev
        metrics:
          - type: ndcg_at_1
            value: 0.47583
          - type: ndcg_at_10
            value: 0.52553
          - type: ndcg_at_100
            value: 0.6
          - type: ndcg_at_1000
            value: 0.61415
          - type: ndcg_at_20
            value: 0.55668
          - type: ndcg_at_3
            value: 0.45839
          - type: ndcg_at_5
            value: 0.48127
          - type: recall_at_1
            value: 0.24488
          - type: recall_at_10
            value: 0.63659
          - type: recall_at_100
            value: 0.89702
          - type: recall_at_1000
            value: 0.97996
          - type: recall_at_20
            value: 0.72652
          - type: recall_at_3
            value: 0.42827
          - type: recall_at_5
            value: 0.52081

💫 Community Model> granite embedding 278m multilingual by Ibm-Granite

👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.

Model creator: ibm-granite
Original model: granite-embedding-278m-multilingual
GGUF quantization: provided by bartowski based on llama.cpp release b4341

Technical Details

Embedding model with vector size 768

Max length of 512 tokens

278 million parameters for high quality fast embedding

Supported Languages: English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese.

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

Disclaimers

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