--- quantized_by: bartowski pipeline_tag: text-generation language: - en tags: - language - granite - embeddings license: apache-2.0 base_model: ibm-granite/granite-embedding-125m-english model-index: - name: ibm-granite/granite-embedding-125m-english results: - task: type: Retrieval dataset: name: MTEB ArguaAna type: mteb/arguana config: default split: test metrics: - type: map_at_1 value: 0.33642 - type: map_at_10 value: 0.49716 - type: map_at_100 value: 0.50519 - type: map_at_1000 value: 0.50521 - type: map_at_3 value: 0.45057 - type: map_at_5 value: 0.47774 - type: mrr_at_1 value: 0.34922 - type: mrr_at_10 value: 0.50197 - type: mrr_at_100 value: 0.50992 - type: mrr_at_1000 value: 0.50994 - type: mrr_at_3 value: 0.45484 - type: mrr_at_5 value: 0.48272 - type: ndcg_at_1 value: 0.33642 - type: ndcg_at_10 value: 0.58401 - type: ndcg_at_100 value: 0.6157 - type: ndcg_at_1000 value: 0.61608 - type: ndcg_at_3 value: 0.48825 - type: ndcg_at_5 value: 0.53689 - type: precision_at_1 value: 0.33642 - type: precision_at_10 value: 0.08606 - type: precision_at_100 value: 0.00994 - type: precision_at_1000 value: 0.001 - type: precision_at_3 value: 0.19915 - type: precision_at_5 value: 0.14296 - type: recall_at_1 value: 0.33642 - type: recall_at_10 value: 0.8606 - type: recall_at_100 value: 0.9936 - type: recall_at_1000 value: 0.99644 - type: recall_at_3 value: 0.59744 - type: recall_at_5 value: 0.71479 - task: type: Retrieval dataset: name: MTEB ClimateFEVER type: mteb/climate-fever config: default split: test metrics: - type: map_at_1 value: 0.1457 - type: map_at_10 value: 0.24102 - type: map_at_100 value: 0.25826 - type: map_at_1000 value: 0.26021 - type: map_at_3 value: 0.20346 - type: map_at_5 value: 0.22228 - type: mrr_at_1 value: 0.32573 - type: mrr_at_10 value: 0.44411 - type: mrr_at_100 value: 0.45176 - type: mrr_at_1000 value: 0.45209 - type: mrr_at_3 value: 0.4126 - type: mrr_at_5 value: 0.43312 - type: ndcg_at_1 value: 0.32573 - type: ndcg_at_10 value: 0.3315 - type: ndcg_at_100 value: 0.39898 - type: ndcg_at_1000 value: 0.43151 - type: ndcg_at_3 value: 0.27683 - type: ndcg_at_5 value: 0.29538 - type: precision_at_1 value: 0.32573 - type: precision_at_10 value: 0.10176 - type: precision_at_100 value: 0.01754 - type: precision_at_1000 value: 0.00236 - type: precision_at_3 value: 0.20347 - type: precision_at_5 value: 0.15505 - type: recall_at_1 value: 0.1457 - type: recall_at_10 value: 0.38825 - type: recall_at_100 value: 0.62237 - type: recall_at_1000 value: 0.8022 - type: recall_at_3 value: 0.25245 - type: recall_at_5 value: 0.30821 - task: type: Retrieval dataset: name: MTEB CQADupstackAndroidRetrieval type: mteb/cqadupstack-android config: default split: test metrics: - type: map_at_1 value: 0.36964 - type: map_at_10 value: 0.5043 - type: map_at_100 value: 0.52066 - type: map_at_1000 value: 0.52175 - type: map_at_3 value: 0.46001 - type: map_at_5 value: 0.48312 - type: mrr_at_1 value: 0.45923 - type: mrr_at_10 value: 0.56733 - type: mrr_at_100 value: 0.57292 - type: mrr_at_1000 value: 0.57321 - type: mrr_at_3 value: 0.54053 - type: mrr_at_5 value: 0.55556 - type: ndcg_at_1 value: 0.45923 - type: ndcg_at_10 value: 0.57667 - type: ndcg_at_100 value: 0.62373 - type: ndcg_at_1000 value: 0.6368 - type: ndcg_at_3 value: 0.51843 - type: ndcg_at_5 value: 0.54257 - type: precision_at_1 value: 0.45923 - type: precision_at_10 value: 0.11316 - type: precision_at_100 value: 0.01705 - type: precision_at_1000 value: 0.00216 - type: precision_at_3 value: 0.2537 - type: precision_at_5 value: 0.1814 - type: recall_at_1 value: 0.36964 - type: recall_at_10 value: 0.71234 - type: recall_at_100 value: 0.90421 - type: recall_at_1000 value: 0.98296 - type: recall_at_3 value: 0.53655 - type: recall_at_5 value: 0.60996 - task: type: Retrieval dataset: name: MTEB CQADupstackEnglishRetrieval type: mteb/cqadupstack-english config: default split: test metrics: - type: map_at_1 value: 0.36198 - type: map_at_10 value: 0.49199 - type: map_at_100 value: 0.50602 - type: map_at_1000 value: 0.50736 - type: map_at_3 value: 0.45678 - type: map_at_5 value: 0.47605 - type: mrr_at_1 value: 0.45478 - type: mrr_at_10 value: 0.55075 - type: mrr_at_100 value: 0.55656 - type: mrr_at_1000 value: 0.55688 - type: mrr_at_3 value: 0.52887 - type: mrr_at_5 value: 0.54282 - type: ndcg_at_1 value: 0.45478 - type: ndcg_at_10 value: 0.55505 - type: ndcg_at_100 value: 0.59606 - type: ndcg_at_1000 value: 0.61255 - type: ndcg_at_3 value: 0.51124 - type: ndcg_at_5 value: 0.53166 - type: precision_at_1 value: 0.45478 - type: precision_at_10 value: 0.10752 - type: precision_at_100 value: 0.01666 - type: precision_at_1000 value: 0.00211 - type: precision_at_3 value: 0.25053 - type: precision_at_5 value: 0.17694 - type: recall_at_1 value: 0.36198 - type: recall_at_10 value: 0.66465 - type: recall_at_100 value: 0.83632 - type: recall_at_1000 value: 0.93276 - type: recall_at_3 value: 0.53207 - type: recall_at_5 value: 0.59169 - task: type: Retrieval dataset: name: MTEB CQADupstackGamingRetrieval type: mteb/cqadupstack-gaming config: default split: test metrics: - type: map_at_1 value: 0.44157 - type: map_at_10 value: 0.57753 - type: map_at_100 value: 0.58698 - type: map_at_1000 value: 0.5874 - type: map_at_3 value: 0.54223 - type: map_at_5 value: 0.56307 - type: mrr_at_1 value: 0.50094 - type: mrr_at_10 value: 0.607 - type: mrr_at_100 value: 0.6126 - type: mrr_at_1000 value: 0.6128 - type: mrr_at_3 value: 0.58265 - type: mrr_at_5 value: 0.59817 - type: ndcg_at_1 value: 0.50094 - type: ndcg_at_10 value: 0.63641 - type: ndcg_at_100 value: 0.67055 - type: ndcg_at_1000 value: 0.67855 - type: ndcg_at_3 value: 0.58022 - type: ndcg_at_5 value: 0.6097 - type: precision_at_1 value: 0.50094 - type: precision_at_10 value: 0.10182 - type: precision_at_100 value: 0.01278 - type: precision_at_1000 value: 0.00138 - type: precision_at_3 value: 0.2581 - type: precision_at_5 value: 0.17755 - type: recall_at_1 value: 0.44157 - type: recall_at_10 value: 0.7778 - type: recall_at_100 value: 0.92244 - type: recall_at_1000 value: 0.9781 - type: recall_at_3 value: 0.63087 - type: recall_at_5 value: 0.70172 - task: type: Retrieval dataset: name: MTEB CQADupstackGisRetrieval type: mteb/cqadupstack-gis config: default split: test metrics: - type: map_at_1 value: 0.29532 - type: map_at_10 value: 0.40214 - type: map_at_100 value: 0.41289 - type: map_at_1000 value: 0.41359 - type: map_at_3 value: 0.37086 - type: map_at_5 value: 0.38889 - type: mrr_at_1 value: 0.3209 - type: mrr_at_10 value: 0.42423 - type: mrr_at_100 value: 0.43342 - type: mrr_at_1000 value: 0.43395 - type: mrr_at_3 value: 0.39736 - type: mrr_at_5 value: 0.41307 - type: ndcg_at_1 value: 0.3209 - type: ndcg_at_10 value: 0.46075 - type: ndcg_at_100 value: 0.5103 - type: ndcg_at_1000 value: 0.52668 - type: ndcg_at_3 value: 0.40149 - type: ndcg_at_5 value: 0.43111 - type: precision_at_1 value: 0.3209 - type: precision_at_10 value: 0.07141 - type: precision_at_100 value: 0.01018 - type: precision_at_1000 value: 0.00118 - type: precision_at_3 value: 0.17175 - type: precision_at_5 value: 0.12068 - type: recall_at_1 value: 0.29532 - type: recall_at_10 value: 0.62025 - type: recall_at_100 value: 0.83829 - type: recall_at_1000 value: 0.95995 - type: recall_at_3 value: 0.4603 - type: recall_at_5 value: 0.53089 - task: type: Retrieval dataset: name: MTEB CQADupstackMathematicaRetrieval type: mteb/cqadupstack-mathematica config: default split: test metrics: - type: map_at_1 value: 0.18944 - type: map_at_10 value: 0.29611 - type: map_at_100 value: 0.31063 - type: map_at_1000 value: 0.31174 - type: map_at_3 value: 0.26098 - type: map_at_5 value: 0.28151 - type: mrr_at_1 value: 0.23756 - type: mrr_at_10 value: 0.34491 - type: mrr_at_100 value: 0.35457 - type: mrr_at_1000 value: 0.35512 - type: mrr_at_3 value: 0.3126 - type: mrr_at_5 value: 0.3317 - type: ndcg_at_1 value: 0.23756 - type: ndcg_at_10 value: 0.36015 - type: ndcg_at_100 value: 0.42175 - type: ndcg_at_1000 value: 0.44607 - type: ndcg_at_3 value: 0.29725 - type: ndcg_at_5 value: 0.32879 - type: precision_at_1 value: 0.23756 - type: precision_at_10 value: 0.06928 - type: precision_at_100 value: 0.01153 - type: precision_at_1000 value: 0.00149 - type: precision_at_3 value: 0.14635 - type: precision_at_5 value: 0.1107 - type: recall_at_1 value: 0.18944 - type: recall_at_10 value: 0.50691 - type: recall_at_100 value: 0.76503 - type: recall_at_1000 value: 0.93624 - type: recall_at_3 value: 0.33611 - type: recall_at_5 value: 0.41427 - task: type: Retrieval dataset: name: MTEB CQADupstackPhysicsRetrieval type: mteb/cqadupstack-physics config: default split: test metrics: - type: map_at_1 value: 0.33824 - type: map_at_10 value: 0.46868 - type: map_at_100 value: 0.48306 - type: map_at_1000 value: 0.48406 - type: map_at_3 value: 0.43335 - type: map_at_5 value: 0.45279 - type: mrr_at_1 value: 0.42348 - type: mrr_at_10 value: 0.52972 - type: mrr_at_100 value: 0.53707 - type: mrr_at_1000 value: 0.53734 - type: mrr_at_3 value: 0.50722 - type: mrr_at_5 value: 0.52012 - type: ndcg_at_1 value: 0.42348 - type: ndcg_at_10 value: 0.53504 - type: ndcg_at_100 value: 0.58899 - type: ndcg_at_1000 value: 0.60323 - type: ndcg_at_3 value: 0.48478 - type: ndcg_at_5 value: 0.5079 - type: precision_at_1 value: 0.42348 - type: precision_at_10 value: 0.0975 - type: precision_at_100 value: 0.01466 - type: precision_at_1000 value: 0.00177 - type: precision_at_3 value: 0.23741 - type: precision_at_5 value: 0.16439 - type: recall_at_1 value: 0.33824 - type: recall_at_10 value: 0.67142 - type: recall_at_100 value: 0.89134 - type: recall_at_1000 value: 0.97816 - type: recall_at_3 value: 0.52305 - type: recall_at_5 value: 0.58804 - task: type: Retrieval dataset: name: MTEB CQADupstackProgrammersRetrieval type: mteb/cqadupstack-programmers config: default split: test metrics: - type: map_at_1 value: 0.30125 - type: map_at_10 value: 0.42119 - type: map_at_100 value: 0.43599 - type: map_at_1000 value: 0.4369 - type: map_at_3 value: 0.38018 - type: map_at_5 value: 0.40368 - type: mrr_at_1 value: 0.37557 - type: mrr_at_10 value: 0.47573 - type: mrr_at_100 value: 0.4846 - type: mrr_at_1000 value: 0.48499 - type: mrr_at_3 value: 0.44654 - type: mrr_at_5 value: 0.4644 - type: ndcg_at_1 value: 0.37557 - type: ndcg_at_10 value: 0.48743 - type: ndcg_at_100 value: 0.54458 - type: ndcg_at_1000 value: 0.56076 - type: ndcg_at_3 value: 0.42573 - type: ndcg_at_5 value: 0.45528 - type: precision_at_1 value: 0.37557 - type: precision_at_10 value: 0.09269 - type: precision_at_100 value: 0.01401 - type: precision_at_1000 value: 0.0017 - type: precision_at_3 value: 0.20624 - type: precision_at_5 value: 0.15068 - type: recall_at_1 value: 0.30125 - type: recall_at_10 value: 0.62619 - type: recall_at_100 value: 0.86574 - type: recall_at_1000 value: 0.97102 - type: recall_at_3 value: 0.45437 - type: recall_at_5 value: 0.53197 - task: type: Retrieval dataset: name: MTEB CQADupstackStatsRetrieval type: mteb/cqadupstack-stats config: default split: test metrics: - type: map_at_1 value: 0.29193 - type: map_at_10 value: 0.37529 - type: map_at_100 value: 0.38614 - type: map_at_1000 value: 0.38714 - type: map_at_3 value: 0.34897 - type: map_at_5 value: 0.36273 - type: mrr_at_1 value: 0.32669 - type: mrr_at_10 value: 0.40288 - type: mrr_at_100 value: 0.41177 - type: mrr_at_1000 value: 0.41241 - type: mrr_at_3 value: 0.38037 - type: mrr_at_5 value: 0.39195 - type: ndcg_at_1 value: 0.32669 - type: ndcg_at_10 value: 0.42353 - type: ndcg_at_100 value: 0.47424 - type: ndcg_at_1000 value: 0.4959 - type: ndcg_at_3 value: 0.37604 - type: ndcg_at_5 value: 0.39682 - type: precision_at_1 value: 0.32669 - type: precision_at_10 value: 0.06871 - type: precision_at_100 value: 0.01008 - type: precision_at_1000 value: 0.00126 - type: precision_at_3 value: 0.16309 - type: precision_at_5 value: 0.11288 - type: recall_at_1 value: 0.29193 - type: recall_at_10 value: 0.54159 - type: recall_at_100 value: 0.77267 - type: recall_at_1000 value: 0.92805 - type: recall_at_3 value: 0.41014 - type: recall_at_5 value: 0.46248 - task: type: Retrieval dataset: name: MTEB CQADupstackTexRetrieval type: mteb/cqadupstack-tex config: default split: test metrics: - type: map_at_1 value: 0.21217 - type: map_at_10 value: 0.30848 - type: map_at_100 value: 0.32173 - type: map_at_1000 value: 0.32296 - type: map_at_3 value: 0.27882 - type: map_at_5 value: 0.29537 - type: mrr_at_1 value: 0.25946 - type: mrr_at_10 value: 0.35091 - type: mrr_at_100 value: 0.36047 - type: mrr_at_1000 value: 0.36111 - type: mrr_at_3 value: 0.32485 - type: mrr_at_5 value: 0.33964 - type: ndcg_at_1 value: 0.25946 - type: ndcg_at_10 value: 0.3655 - type: ndcg_at_100 value: 0.42328 - type: ndcg_at_1000 value: 0.44783 - type: ndcg_at_3 value: 0.31463 - type: ndcg_at_5 value: 0.33803 - type: precision_at_1 value: 0.25946 - type: precision_at_10 value: 0.06793 - type: precision_at_100 value: 0.01138 - type: precision_at_1000 value: 0.00155 - type: precision_at_3 value: 0.1513 - type: precision_at_5 value: 0.10991 - type: recall_at_1 value: 0.21217 - type: recall_at_10 value: 0.49327 - type: recall_at_100 value: 0.7472 - type: recall_at_1000 value: 0.91637 - type: recall_at_3 value: 0.34993 - type: recall_at_5 value: 0.41029 - task: type: Retrieval dataset: name: MTEB CQADupstackUnixRetrieval type: mteb/cqadupstack-unix config: default split: test metrics: - type: map_at_1 value: 0.34303 - type: map_at_10 value: 0.45312 - type: map_at_100 value: 0.46563 - type: map_at_1000 value: 0.4664 - type: map_at_3 value: 0.4143 - type: map_at_5 value: 0.43633 - type: mrr_at_1 value: 0.40112 - type: mrr_at_10 value: 0.49097 - type: mrr_at_100 value: 0.49966 - type: mrr_at_1000 value: 0.50006 - type: mrr_at_3 value: 0.46129 - type: mrr_at_5 value: 0.47901 - type: ndcg_at_1 value: 0.40112 - type: ndcg_at_10 value: 0.513 - type: ndcg_at_100 value: 0.56534 - type: ndcg_at_1000 value: 0.58048 - type: ndcg_at_3 value: 0.4491 - type: ndcg_at_5 value: 0.48048 - type: precision_at_1 value: 0.40112 - type: precision_at_10 value: 0.08806 - type: precision_at_100 value: 0.01266 - type: precision_at_1000 value: 0.00149 - type: precision_at_3 value: 0.20211 - type: precision_at_5 value: 0.14496 - type: recall_at_1 value: 0.34303 - type: recall_at_10 value: 0.65508 - type: recall_at_100 value: 0.8753 - type: recall_at_1000 value: 0.9742 - type: recall_at_3 value: 0.48465 - type: recall_at_5 value: 0.56374 - task: type: Retrieval dataset: name: MTEB CQADupstackWebmastersRetrieval type: mteb/cqadupstack-webmasters config: default split: test metrics: - type: map_at_1 value: 0.30312 - type: map_at_10 value: 0.40931 - type: map_at_100 value: 0.42893 - type: map_at_1000 value: 0.4312 - type: map_at_3 value: 0.37527 - type: map_at_5 value: 0.3936 - type: mrr_at_1 value: 0.36364 - type: mrr_at_10 value: 0.45677 - type: mrr_at_100 value: 0.46753 - type: mrr_at_1000 value: 0.46787 - type: mrr_at_3 value: 0.42918 - type: mrr_at_5 value: 0.4443 - type: ndcg_at_1 value: 0.36364 - type: ndcg_at_10 value: 0.47301 - type: ndcg_at_100 value: 0.53698 - type: ndcg_at_1000 value: 0.55503 - type: ndcg_at_3 value: 0.41875 - type: ndcg_at_5 value: 0.44316 - type: precision_at_1 value: 0.36364 - type: precision_at_10 value: 0.09032 - type: precision_at_100 value: 0.01806 - type: precision_at_1000 value: 0.00258 - type: precision_at_3 value: 0.19499 - type: precision_at_5 value: 0.1415 - type: recall_at_1 value: 0.30312 - type: recall_at_10 value: 0.59418 - type: recall_at_100 value: 0.8656 - type: recall_at_1000 value: 0.97412 - type: recall_at_3 value: 0.44251 - type: recall_at_5 value: 0.50457 - task: type: Retrieval dataset: name: MTEB CQADupstackWordpressRetrieval type: mteb/cqadupstack-wordpress config: default split: test metrics: - type: map_at_1 value: 0.23851 - type: map_at_10 value: 0.33429 - type: map_at_100 value: 0.34482 - type: map_at_1000 value: 0.3457 - type: map_at_3 value: 0.30271 - type: map_at_5 value: 0.31905 - type: mrr_at_1 value: 0.25693 - type: mrr_at_10 value: 0.35383 - type: mrr_at_100 value: 0.36295 - type: mrr_at_1000 value: 0.36346 - type: mrr_at_3 value: 0.32532 - type: mrr_at_5 value: 0.3402 - type: ndcg_at_1 value: 0.25693 - type: ndcg_at_10 value: 0.39196 - type: ndcg_at_100 value: 0.44501 - type: ndcg_at_1000 value: 0.46482 - type: ndcg_at_3 value: 0.33 - type: ndcg_at_5 value: 0.35736 - type: precision_at_1 value: 0.25693 - type: precision_at_10 value: 0.06433 - type: precision_at_100 value: 0.00989 - type: precision_at_1000 value: 0.00128 - type: precision_at_3 value: 0.14295 - type: precision_at_5 value: 0.10277 - type: recall_at_1 value: 0.23851 - type: recall_at_10 value: 0.55036 - type: recall_at_100 value: 0.79592 - type: recall_at_1000 value: 0.94283 - type: recall_at_3 value: 0.38435 - type: recall_at_5 value: 0.44872 - task: type: Retrieval dataset: name: MTEB DBPedia type: mteb/dbpedia config: default split: test metrics: - type: map_at_1 value: 0.0871 - type: map_at_10 value: 0.19218 - type: map_at_100 value: 0.26291 - type: map_at_1000 value: 0.27985 - type: map_at_3 value: 0.13974 - type: map_at_5 value: 0.16104 - type: mrr_at_1 value: 0.6725 - type: mrr_at_10 value: 0.75037 - type: mrr_at_100 value: 0.75318 - type: mrr_at_1000 value: 0.75325 - type: mrr_at_3 value: 0.73833 - type: mrr_at_5 value: 0.74308 - 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type: recall_at_5 value: 0.01048 --- ## 💫 Community Model> granite embedding 125m english by Ibm-Granite *👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*. **Model creator:** [ibm-granite](https://huggingface.co/ibm-granite)
**Original model**: [granite-embedding-125m-english](https://huggingface.co/ibm-granite/granite-embedding-125m-english)
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b4341](https://github.com/ggerganov/llama.cpp/releases/tag/b4341)
## Technical Details Embedding model with vector size 768 Max length of 512 tokens 125 million parameters for high quality fast embedding English only ## Special thanks 🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible. ## Disclaimers LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.