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  ---
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  quantized_by: bartowski
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  pipeline_tag: text-generation
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- language:
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- - en
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- - ar
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- - cs
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- - de
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- - es
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- - fr
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- - it
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- - ja
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- - ko
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- - nl
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- - pt
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- - zh
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- tags:
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- - language
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- - granite
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- - embeddings
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- - multilingual
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- license: apache-2.0
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- base_model: ibm-granite/granite-embedding-278m-multilingual
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- model-index:
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- - name: ibm-granite/granite-embedding-278m-multilingual
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- results:
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (en)
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- type: miracl/mmteb-miracl
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- config: en
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.45557
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- - type: ndcg_at_10
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- value: 0.49372
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- - type: ndcg_at_100
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- value: 0.5728
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- - type: ndcg_at_1000
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- value: 0.59187
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- - type: ndcg_at_20
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- value: 0.52863
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- - type: ndcg_at_3
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- value: 0.43969
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- - type: ndcg_at_5
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- value: 0.45551
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- - type: recall_at_1
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- value: 0.21785
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- - type: recall_at_10
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- value: 0.59513
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- - type: recall_at_100
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- value: 0.85785
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- - type: recall_at_1000
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- value: 0.96041
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- - type: recall_at_20
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- value: 0.69357
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- - type: recall_at_3
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- value: 0.40403
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- - type: recall_at_5
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- value: 0.48499
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (ar)
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- type: miracl/mmteb-miracl
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- config: ar
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.57459
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- - type: ndcg_at_10
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- value: 0.64238
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- - type: ndcg_at_100
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- value: 0.6867
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- - type: ndcg_at_1000
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- value: 0.6951
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- - type: ndcg_at_20
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- value: 0.66455
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- - type: ndcg_at_3
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- value: 0.58162
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- - type: ndcg_at_5
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- value: 0.60831
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- - type: recall_at_1
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- value: 0.38064
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- - type: recall_at_10
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- value: 0.75098
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- - type: recall_at_100
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- value: 0.91203
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- - type: recall_at_1000
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- value: 0.96706
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- - type: recall_at_20
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- value: 0.81978
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- - type: recall_at_3
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- value: 0.58618
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- - type: recall_at_5
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- value: 0.66353
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (bn)
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- type: miracl/mmteb-miracl
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- config: bn
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.60341
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- - type: ndcg_at_10
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- value: 0.68055
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- - type: ndcg_at_100
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- value: 0.72008
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- - type: ndcg_at_1000
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- value: 0.72716
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- - type: ndcg_at_20
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- value: 0.69914
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- - type: ndcg_at_3
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- value: 0.60805
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- - type: ndcg_at_5
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- value: 0.64486
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- - type: recall_at_1
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- value: 0.37948
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- - type: recall_at_10
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- value: 0.80609
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- - type: recall_at_100
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- value: 0.94305
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- - type: recall_at_1000
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- value: 0.98625
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- - type: recall_at_20
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- value: 0.86141
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- - type: recall_at_3
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- value: 0.61095
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- - type: recall_at_5
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- value: 0.71316
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (de)
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- type: miracl/mmteb-miracl
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- config: de
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.45574
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- - type: ndcg_at_10
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- value: 0.48123
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- - type: ndcg_at_100
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- value: 0.56049
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- - type: ndcg_at_1000
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- value: 0.57979
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- - type: ndcg_at_20
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- value: 0.51785
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- - type: ndcg_at_3
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- value: 0.41243
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- - type: ndcg_at_5
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- value: 0.4386
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- - type: recall_at_1
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- value: 0.20401
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- - type: recall_at_10
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- value: 0.58779
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- - type: recall_at_100
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- value: 0.8584
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- - type: recall_at_1000
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- value: 0.97364
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- - type: recall_at_20
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- value: 0.69061
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- - type: recall_at_3
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- value: 0.36573
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- - type: recall_at_5
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- value: 0.47495
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (es)
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- type: miracl/mmteb-miracl
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- config: es
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.5571
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- - type: ndcg_at_10
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- value: 0.49688
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- - type: ndcg_at_100
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- value: 0.60493
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- - type: ndcg_at_1000
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- value: 0.62922
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- - type: ndcg_at_20
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- value: 0.54438
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- - type: ndcg_at_3
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- value: 0.47981
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- - type: ndcg_at_5
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- value: 0.46584
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- - type: recall_at_1
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- value: 0.1638
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- - type: recall_at_10
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- value: 0.54155
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- - type: recall_at_100
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- value: 0.85136
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- - type: recall_at_1000
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- value: 0.96951
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- - type: recall_at_20
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- value: 0.65329
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- - type: recall_at_3
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- value: 0.31503
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- - type: recall_at_5
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- value: 0.40356
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (fa)
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- type: miracl/mmteb-miracl
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- config: fa
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.39873
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- - type: ndcg_at_10
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- value: 0.50226
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- - type: ndcg_at_100
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- value: 0.56517
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- - type: ndcg_at_1000
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- value: 0.57967
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- - type: ndcg_at_20
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- value: 0.5292
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- - type: ndcg_at_3
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- value: 0.42738
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- - type: ndcg_at_5
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- value: 0.45843
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- - type: recall_at_1
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- value: 0.25369
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- - type: recall_at_10
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- value: 0.63776
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- - type: recall_at_100
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- value: 0.87686
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- - type: recall_at_1000
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- value: 0.9671
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- - type: recall_at_20
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- value: 0.72099
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- - type: recall_at_3
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- value: 0.43808
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- - type: recall_at_5
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- value: 0.52378
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (fi)
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- type: miracl/mmteb-miracl
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- config: fi
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.60818
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- - type: ndcg_at_10
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- value: 0.6746
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- - type: ndcg_at_100
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- value: 0.71516
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- - type: ndcg_at_1000
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- value: 0.7218
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- - type: ndcg_at_20
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- value: 0.69692
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- - type: ndcg_at_3
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- value: 0.6006
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- - type: ndcg_at_5
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- value: 0.63842
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- - type: recall_at_1
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- value: 0.39264
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- - type: recall_at_10
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- value: 0.78577
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- - type: recall_at_100
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- value: 0.93291
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- - type: recall_at_1000
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- value: 0.97493
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- - type: recall_at_20
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- value: 0.85435
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- - type: recall_at_3
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- value: 0.61055
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- - type: recall_at_5
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- value: 0.69774
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (fr)
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- type: miracl/mmteb-miracl
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- config: fr
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.3965
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- - type: ndcg_at_10
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- value: 0.49891
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- - type: ndcg_at_100
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- value: 0.56492
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- - type: ndcg_at_1000
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- value: 0.57837
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- - type: ndcg_at_20
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- value: 0.53163
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- - type: ndcg_at_3
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- value: 0.39843
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- - type: ndcg_at_5
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- value: 0.44416
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- - type: recall_at_1
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- value: 0.22644
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- - type: recall_at_10
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- value: 0.65169
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- - type: recall_at_100
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- value: 0.89786
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- - type: recall_at_1000
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- value: 0.98081
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- - type: recall_at_20
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- value: 0.75338
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- - type: recall_at_3
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- value: 0.39798
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- - type: recall_at_5
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- value: 0.51001
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (hi)
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- type: miracl/mmteb-miracl
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- config: hi
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.36857
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- - type: ndcg_at_10
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- value: 0.46141
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- - type: ndcg_at_100
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- value: 0.52565
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- - type: ndcg_at_1000
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- value: 0.54319
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- - type: ndcg_at_20
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- value: 0.49384
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- - type: ndcg_at_3
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- value: 0.39469
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- - type: ndcg_at_5
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- value: 0.4184
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- - type: recall_at_1
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- value: 0.20185
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- - type: recall_at_10
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- value: 0.59474
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- - type: recall_at_100
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- value: 0.83385
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- - type: recall_at_1000
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- value: 0.94813
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- - type: recall_at_20
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- value: 0.69437
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- - type: recall_at_3
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- value: 0.38993
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- - type: recall_at_5
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- value: 0.47881
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (id)
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- type: miracl/mmteb-miracl
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- config: id
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.46354
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- - type: ndcg_at_10
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- value: 0.47229
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- - type: ndcg_at_100
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- value: 0.5525
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- - type: ndcg_at_1000
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- value: 0.57648
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- - type: ndcg_at_20
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- value: 0.50606
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- - type: ndcg_at_3
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- value: 0.42538
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- - type: ndcg_at_5
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- value: 0.43717
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- - type: recall_at_1
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- value: 0.20787
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- - type: recall_at_10
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- value: 0.54771
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- - type: recall_at_100
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- value: 0.80689
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- - type: recall_at_1000
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- value: 0.94032
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- - type: recall_at_20
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- value: 0.63842
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- - type: recall_at_3
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- value: 0.36229
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- - type: recall_at_5
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- value: 0.44437
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (ja)
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- type: miracl/mmteb-miracl
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- config: ja
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.56279
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- - type: ndcg_at_10
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- value: 0.6281
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- - type: ndcg_at_100
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- value: 0.67757
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- - type: ndcg_at_1000
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- value: 0.68667
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- - type: ndcg_at_20
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- value: 0.6521
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- - type: ndcg_at_3
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- value: 0.56226
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- - type: ndcg_at_5
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- value: 0.5866
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- - type: recall_at_1
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- value: 0.36648
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- - type: recall_at_10
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- value: 0.7496
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- - type: recall_at_100
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- value: 0.92461
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- - type: recall_at_1000
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- value: 0.97827
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- - type: recall_at_20
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- value: 0.82326
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- - type: recall_at_3
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- value: 0.55845
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- - type: recall_at_5
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- value: 0.63854
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (ko)
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- type: miracl/mmteb-miracl
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- config: ko
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.52582
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- - type: ndcg_at_10
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- value: 0.59216
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- - type: ndcg_at_100
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- value: 0.65093
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- - type: ndcg_at_1000
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- value: 0.66204
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- - type: ndcg_at_20
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- value: 0.62427
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- - type: ndcg_at_3
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- value: 0.5373
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- - type: ndcg_at_5
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- value: 0.55886
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- - type: recall_at_1
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- value: 0.30521
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- - type: recall_at_10
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- value: 0.71159
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- - type: recall_at_100
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- value: 0.90203
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- - type: recall_at_1000
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- value: 0.96714
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- - type: recall_at_20
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- value: 0.80209
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- - type: recall_at_3
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- value: 0.515
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- - type: recall_at_5
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- value: 0.6071
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- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (ru)
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- type: miracl/mmteb-miracl
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- config: ru
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.47524
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- - type: ndcg_at_10
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- value: 0.52349
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- - type: ndcg_at_100
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- value: 0.59725
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- - type: ndcg_at_1000
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- value: 0.61313
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- - type: ndcg_at_20
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- value: 0.55669
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- - type: ndcg_at_3
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- value: 0.46812
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- - type: ndcg_at_5
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- value: 0.48442
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- - type: recall_at_1
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- value: 0.24337
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- - type: recall_at_10
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- value: 0.62437
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- - type: recall_at_100
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- value: 0.86489
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- - type: recall_at_1000
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- value: 0.95266
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- - type: recall_at_20
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- value: 0.71411
491
- - type: recall_at_3
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- value: 0.42927
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- - type: recall_at_5
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- value: 0.51258
495
- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (sw)
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- type: miracl/mmteb-miracl
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- config: sw
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.5166
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- - type: ndcg_at_10
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- value: 0.61271
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- - type: ndcg_at_100
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- value: 0.66099
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- - type: ndcg_at_1000
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- value: 0.66867
511
- - type: ndcg_at_20
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- value: 0.63643
513
- - type: ndcg_at_3
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- value: 0.54828
515
- - type: ndcg_at_5
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- value: 0.57382
517
- - type: recall_at_1
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- value: 0.35277
519
- - type: recall_at_10
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- value: 0.74368
521
- - type: recall_at_100
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- value: 0.92261
523
- - type: recall_at_1000
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- value: 0.97109
525
- - type: recall_at_20
526
- value: 0.81888
527
- - type: recall_at_3
528
- value: 0.56739
529
- - type: recall_at_5
530
- value: 0.6421
531
- - task:
532
- type: Retrieval
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- dataset:
534
- name: Miracl (te)
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- type: miracl/mmteb-miracl
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- config: te
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- split: dev
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- metrics:
539
- - type: ndcg_at_1
540
- value: 0.63768
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- - type: ndcg_at_10
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- value: 0.79193
543
- - type: ndcg_at_100
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- value: 0.80243
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- - type: ndcg_at_1000
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- value: 0.80438
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- - type: ndcg_at_20
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- value: 0.79549
549
- - type: ndcg_at_3
550
- value: 0.76031
551
- - type: ndcg_at_5
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- value: 0.77915
553
- - type: recall_at_1
554
- value: 0.63084
555
- - type: recall_at_10
556
- value: 0.92411
557
- - type: recall_at_100
558
- value: 0.97363
559
- - type: recall_at_1000
560
- value: 0.98833
561
- - type: recall_at_20
562
- value: 0.9374
563
- - type: recall_at_3
564
- value: 0.84159
565
- - type: recall_at_5
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- value: 0.88627
567
- - task:
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- type: Retrieval
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- dataset:
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- name: Miracl (th)
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- type: miracl/mmteb-miracl
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- config: th
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- split: dev
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- metrics:
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- - type: ndcg_at_1
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- value: 0.66712
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- - type: ndcg_at_10
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- value: 0.73324
579
- - type: ndcg_at_100
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- value: 0.76633
581
- - type: ndcg_at_1000
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- value: 0.77119
583
- - type: ndcg_at_20
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- value: 0.75243
585
- - type: ndcg_at_3
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- value: 0.67393
587
- - type: ndcg_at_5
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- value: 0.70201
589
- - type: recall_at_1
590
- value: 0.47106
591
- - type: recall_at_10
592
- value: 0.84294
593
- - type: recall_at_100
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- value: 0.95949
595
- - type: recall_at_1000
596
- value: 0.98874
597
- - type: recall_at_20
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- value: 0.90085
599
- - type: recall_at_3
600
- value: 0.68456
601
- - type: recall_at_5
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- value: 0.75915
603
- - task:
604
- type: Retrieval
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- dataset:
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- name: Miracl (yo)
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- type: miracl/mmteb-miracl
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- config: yo
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- split: dev
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- metrics:
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- - type: ndcg_at_1
612
- value: 0.4958
613
- - type: ndcg_at_10
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- value: 0.68705
615
- - type: ndcg_at_100
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- value: 0.70664
617
- - type: ndcg_at_1000
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- value: 0.71197
619
- - type: ndcg_at_20
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- value: 0.698
621
- - type: ndcg_at_3
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- value: 0.64793
623
- - type: ndcg_at_5
624
- value: 0.66709
625
- - type: recall_at_1
626
- value: 0.46289
627
- - type: recall_at_10
628
- value: 0.85154
629
- - type: recall_at_100
630
- value: 0.93557
631
- - type: recall_at_1000
632
- value: 0.97479
633
- - type: recall_at_20
634
- value: 0.89076
635
- - type: recall_at_3
636
- value: 0.7507
637
- - type: recall_at_5
638
- value: 0.79202
639
- - task:
640
- type: Retrieval
641
- dataset:
642
- name: Miracl (zh)
643
- type: miracl/mmteb-miracl
644
- config: zh
645
- split: dev
646
- metrics:
647
- - type: ndcg_at_1
648
- value: 0.47583
649
- - type: ndcg_at_10
650
- value: 0.52553
651
- - type: ndcg_at_100
652
- value: 0.6
653
- - type: ndcg_at_1000
654
- value: 0.61415
655
- - type: ndcg_at_20
656
- value: 0.55668
657
- - type: ndcg_at_3
658
- value: 0.45839
659
- - type: ndcg_at_5
660
- value: 0.48127
661
- - type: recall_at_1
662
- value: 0.24488
663
- - type: recall_at_10
664
- value: 0.63659
665
- - type: recall_at_100
666
- value: 0.89702
667
- - type: recall_at_1000
668
- value: 0.97996
669
- - type: recall_at_20
670
- value: 0.72652
671
- - type: recall_at_3
672
- value: 0.42827
673
- - type: recall_at_5
674
- value: 0.52081
675
  ---
676
 
677
  ## Llamacpp Static Quantizations of granite-embedding-278m-multilingual
678
 
679
- Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4341">b4341</a> for quantization.
680
 
681
  Original model: https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual
682
 
@@ -686,6 +15,10 @@ Run them in [LM Studio](https://lmstudio.ai/)
686
 
687
  No prompt format found, check original model page
688
 
 
 
 
 
689
  ## Download a file (not the whole branch) from below:
690
 
691
  | Filename | Quant type | File Size | Split | Description |
 
1
  ---
2
  quantized_by: bartowski
3
  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  ---
5
 
6
  ## Llamacpp Static Quantizations of granite-embedding-278m-multilingual
7
 
8
+ Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
9
 
10
  Original model: https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual
11
 
 
15
 
16
  No prompt format found, check original model page
17
 
18
+ ## What's new:
19
+
20
+ Fix tokenizer
21
+
22
  ## Download a file (not the whole branch) from below:
23
 
24
  | Filename | Quant type | File Size | Split | Description |