| layout | title |
|---|---|
leaderboard |
Faroese NLU 🇫🇴 |
Include merged models
| Model ID | Parameters | Vocabulary size | Context | Commercial | Speed | Rank | FoNE | ScaLA-fo | FoQA | FoNE version | ScaLA-fo version | FoQA version |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| vesteinn/FoBERT | 124 | 50 | 512 | True | 15,623 ± 2,828 / 3,737 ± 1,191 | 1.58 | 91.31 ± 0.69 / 91.79 ± 0.47 | 64.39 ± 1.55 / 81.38 ± 1.04 | 27.09 ± 1.55 / 36.68 ± 1.88 | 0.0.0 | 0.0.0 | 13.0.0 |
| gpt-4-1106-preview (few-shot, val) | unknown | 100 | 128000 | True | 576 ± 221 / 81 ± 28 | 2.06 | 86.51 ± 2.01 / 85.01 ± 2.45 | 35.09 ± 5.70 / 65.72 ± 3.27 | 58.65 ± 3.25 / 81.93 ± 2.20 | 12.5.1 | 12.5.1 | 13.0.0 |
| NbAiLab/nb-roberta-base-scandi-1e4 | 277 | 250 | 512 | True | 15,074 ± 2,990 / 3,347 ± 1,080 | 2.23 | 90.52 ± 0.47 / 90.83 ± 0.40 | 44.99 ± 11.76 / 71.54 ± 5.83 | 25.14 ± 1.72 / 34.64 ± 1.98 | 0.0.0 | 0.0.0 | 13.0.0 |
| microsoft/mdeberta-v3-base | 278 | 251 | 512 | True | 20,637 ± 3,925 / 4,497 ± 1,502 | 2.33 | 88.60 ± 0.60 / 89.37 ± 0.54 | 46.81 ± 2.12 / 72.76 ± 1.40 | 20.96 ± 1.19 / 30.59 ± 1.61 | 0.0.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/use-cmlm-multilingual | 470 | 501 | 512 | True | 30,231 ± 8,171 / 4,863 ± 1,598 | 2.60 | 88.81 ± 0.65 / 89.12 ± 0.56 | 30.92 ± 8.65 / 63.05 ± 4.66 | 25.48 ± 2.79 / 37.21 ± 3.83 | 0.0.0 | 0.0.0 | 13.0.0 |
| pere/roberta-base-exp-32 | 277 | 250 | 512 | True | 15,081 ± 2,950 / 3,365 ± 1,092 | 2.61 | 90.60 ± 0.45 / 90.78 ± 0.45 | 22.86 ± 13.14 / 59.92 ± 6.74 | 24.90 ± 1.52 / 33.83 ± 1.68 | 0.0.0 | 0.0.0 | 13.0.0 |
| vesteinn/ScandiBERT-no-faroese | 124 | 50 | 512 | True | 15,436 ± 2,820 / 3,704 ± 1,187 | 2.73 | 88.14 ± 0.58 / 88.89 ± 0.52 | 27.71 ± 9.67 / 61.60 ± 5.69 | 20.47 ± 2.44 / 29.37 ± 3.28 | 0.0.0 | 0.0.0 | 13.0.0 |
| gpt-4o-mini-2024-07-18 (few-shot) | unknown | 200 | 128126 | True | 1,171 ± 378 / 120 ± 39 | 2.76 | 77.59 ± 2.14 / 63.75 ± 5.57 | 14.58 ± 2.56 / 51.54 ± 2.48 | 51.20 ± 1.49 / 75.23 ± 1.04 | 12.11.0 | 12.11.0 | 13.0.0 |
| google/rembert | 575 | 250 | 256 | True | 11,736 ± 2,822 / 2,102 ± 677 | 2.87 | 87.35 ± 0.94 / 87.65 ± 0.94 | 14.65 ± 11.12 / 46.36 ± 10.23 | 36.10 ± 1.91 / 48.41 ± 2.09 | 0.0.0 | 0.0.0 | 13.0.0 |
| setu4993/LaBSE | 470 | 501 | 512 | True | 25,418 ± 6,435 / 4,536 ± 1,452 | 2.95 | 89.16 ± 0.66 / 89.62 ± 0.62 | 22.76 ± 10.57 / 60.04 ± 5.76 | 30.55 ± 1.05 / 41.85 ± 1.13 | 0.0.0 | 0.0.0 | 13.0.0 |
| ltg/norbert3-base | 124 | 50 | 512 | True | 11,405 ± 1,970 / 2,856 ± 917 | 3.10 | 86.94 ± 0.47 / 87.58 ± 0.46 | 12.35 ± 8.96 / 53.00 ± 5.17 | 24.57 ± 2.18 / 34.06 ± 2.82 | 12.7.0 | 12.7.0 | 13.0.0 |
| jonfd/electra-small-nordic | 22 | 96 | 128 | True | 5,989 ± 120 / 3,809 ± 1,230 | 3.17 | 85.80 ± 0.25 / 86.58 ± 0.26 | 30.88 ± 2.36 / 63.79 ± 1.33 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| Geotrend/bert-base-25lang-cased | 151 | 85 | 512 | True | 13,908 ± 3,201 / 2,700 ± 872 | 3.27 | 86.09 ± 1.03 / 86.85 ± 1.02 | 15.24 ± 6.84 / 50.54 ± 4.85 | 14.82 ± 1.50 / 22.99 ± 1.63 | 0.0.0 | 0.0.0 | 13.0.0 |
| gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 3.32 | 81.86 ± 2.08 / 67.98 ± 3.64 | -0.97 ± 2.82 / 33.64 ± 0.85 | 56.45 ± 2.88 / 78.76 ± 1.86 | 12.10.0 | 12.10.0 | 13.0.0 |
| mideind/IceBERT-xlmr-ic3 | 277 | 250 | 512 | True | 11,004 ± 2,244 / 2,324 ± 761 | 3.34 | 87.79 ± 0.40 / 88.46 ± 0.31 | 22.51 ± 10.65 / 55.58 ± 8.05 | 11.16 ± 3.59 / 16.82 ± 5.50 | 0.0.0 | 0.0.0 | 13.0.0 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) | 8030 | 128 | 8192 | True | 4,909 ± 1,215 / 978 ± 319 | 3.50 | 73.76 ± 1.34 / 70.21 ± 2.63 | 3.47 ± 1.97 / 49.04 ± 1.89 | 49.53 ± 2.28 / 73.08 ± 1.05 | 12.6.1 | 12.6.1 | 13.0.0 |
| mideind/IceBERT-large | 406 | 50 | 512 | True | 5,677 ± 719 / 1,886 ± 604 | 3.53 | 86.84 ± 0.77 / 87.51 ± 0.72 | 9.82 ± 3.95 / 50.49 ± 3.45 | 21.19 ± 2.49 / 30.11 ± 2.76 | 0.0.0 | 0.0.0 | 13.0.0 |
| AI-Sweden-Models/roberta-large-1160k | 354 | 50 | 512 | True | 14,014 ± 2,384 / 3,625 ± 1,146 | 3.54 | 88.24 ± 0.58 / 88.48 ± 0.54 | 1.73 ± 1.70 / 42.32 ± 5.16 | 35.08 ± 2.58 / 47.03 ± 3.42 | 10.0.1 | 10.0.1 | 13.0.0 |
| intfloat/multilingual-e5-large | 559 | 250 | 512 | True | 6,732 ± 1,273 / 1,633 ± 523 | 3.57 | 88.39 ± 0.86 / 88.75 ± 0.75 | 2.85 ± 1.32 / 48.43 ± 2.29 | 31.03 ± 1.94 / 43.72 ± 2.89 | 0.0.0 | 0.0.0 | 13.0.0 |
| Nexusflow/Starling-LM-7B-beta (few-shot) | 7242 | 32 | 8192 | False | 5,876 ± 1,021 / 1,677 ± 546 | 3.58 | 66.98 ± 1.97 / 60.82 ± 2.81 | 5.80 ± 2.04 / 42.89 ± 2.71 | 44.88 ± 1.73 / 63.94 ± 1.35 | 12.5.2 | 12.5.2 | 13.0.0 |
| mistralai/Ministral-8B-Instruct-2410 (few-shot) | 8020 | 131 | 32768 | True | 5,821 ± 1,090 / 1,561 ± 506 | 3.60 | 67.52 ± 2.82 / 61.64 ± 3.39 | 3.35 ± 2.55 / 46.55 ± 3.36 | 49.62 ± 1.90 / 69.57 ± 1.48 | 13.0.0 | 13.0.0 | 13.0.0 |
| intfloat/multilingual-e5-base | 278 | 250 | 512 | True | 14,965 ± 2,890 / 3,322 ± 1,074 | 3.61 | 87.44 ± 0.35 / 88.01 ± 0.28 | 7.38 ± 6.28 / 47.69 ± 4.51 | 14.80 ± 3.56 / 22.12 ± 5.23 | 12.6.1 | 12.6.1 | 13.0.0 |
| meta-llama/Llama-3.1-8B (few-shot) | 8030 | 128 | 131200 | True | 2,439 ± 459 / 703 ± 219 | 3.64 | 65.43 ± 3.19 / 63.09 ± 4.04 | 1.12 ± 2.01 / 35.45 ± 2.25 | 51.86 ± 1.50 / 73.55 ± 1.19 | 12.11.0 | 12.11.0 | 13.0.0 |
| meta-llama/Llama-3.1-8B-Instruct (few-shot) | 8030 | 128 | 131200 | True | 2,411 ± 465 / 686 ± 215 | 3.67 | 71.04 ± 1.85 / 70.33 ± 2.15 | 1.59 ± 1.29 / 33.68 ± 0.38 | 46.33 ± 1.15 / 70.86 ± 1.12 | 13.0.0 | 13.0.0 | 13.0.0 |
| KBLab/megatron-bert-large-swedish-cased-165k | 369 | 64 | 512 | True | 7,138 ± 1,111 / 2,067 ± 660 | 3.70 | 82.76 ± 0.95 / 83.43 ± 0.88 | 7.58 ± 3.56 / 52.05 ± 1.14 | 16.13 ± 1.68 / 23.78 ± 2.02 | 0.0.0 | 0.0.0 | 13.0.0 |
| FacebookAI/xlm-roberta-large | 559 | 250 | 512 | True | 17,897 ± 3,921 / 3,463 ± 1,141 | 3.71 | 87.85 ± 0.95 / 88.21 ± 0.87 | 1.17 ± 2.11 / 40.94 ± 5.07 | 27.72 ± 1.48 / 39.88 ± 2.04 | 0.0.0 | 0.0.0 | 13.0.0 |
| mhenrichsen/hestenettetLM (few-shot) | 7242 | 32 | 32768 | True | 5,160 ± 804 / 1,654 ± 516 | 3.72 | 62.82 ± 3.50 / 58.05 ± 3.79 | 4.96 ± 2.36 / 43.40 ± 4.95 | 44.02 ± 1.87 / 60.50 ± 2.26 | 12.5.2 | 12.3.2 | 13.0.0 |
| CohereForAI/aya-expanse-8b (few-shot) | 8028 | 256 | 8192 | False | 5,581 ± 1,066 / 1,471 ± 483 | 3.74 | 68.63 ± 1.70 / 41.26 ± 2.21 | 1.95 ± 2.22 / 42.77 ± 3.69 | 45.04 ± 1.74 / 63.06 ± 1.68 | 13.0.0 | 13.0.0 | 13.0.0 |
| intfloat/multilingual-e5-large-instruct | 560 | 250 | 514 | True | 5,947 ± 1,301 / 1,129 ± 374 | 3.74 | 88.64 ± 0.34 / 89.11 ± 0.29 | 2.05 ± 2.30 / 47.88 ± 2.17 | 24.09 ± 4.66 / 37.60 ± 4.39 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Meta-Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,687 ± 1,121 / 967 ± 313 | 3.74 | 61.11 ± 4.21 / 58.55 ± 4.19 | 2.02 ± 1.68 / 39.88 ± 3.56 | 50.34 ± 1.74 / 71.74 ± 1.27 | 12.6.1 | 12.6.1 | 13.0.0 |
| NbAiLab/nb-sbert-base | 177 | 120 | 512 | True | 17,757 ± 3,883 / 3,864 ± 1,237 | 3.80 | 86.20 ± 0.50 / 86.91 ± 0.46 | 11.80 ± 7.52 / 53.06 ± 5.04 | 7.47 ± 1.01 / 11.22 ± 1.50 | 12.10.5 | 12.10.5 | 13.0.0 |
| google-bert/bert-base-multilingual-cased | 177 | 120 | 512 | True | 14,083 ± 3,264 / 2,738 ± 889 | 3.80 | 86.36 ± 0.57 / 87.14 ± 0.52 | 6.08 ± 4.57 / 48.47 ± 3.93 | 16.26 ± 1.27 / 24.64 ± 1.39 | 0.0.0 | 0.0.0 | 13.0.0 |
| mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 2,657 ± 524 / 880 ± 278 | 3.81 | 62.63 ± 3.44 / 57.85 ± 3.72 | 2.84 ± 1.84 / 42.62 ± 4.53 | 44.06 ± 1.93 / 60.40 ± 2.37 | 9.1.2 | 9.1.2 | 13.0.0 |
| KBLab/megatron-bert-base-swedish-cased-125k | 135 | 64 | 512 | True | 15,763 ± 2,523 / 4,238 ± 1,370 | 3.83 | 80.61 ± 0.91 / 81.31 ± 0.89 | 9.60 ± 3.82 / 52.30 ± 1.73 | 11.57 ± 0.86 / 17.37 ± 1.12 | 12.7.0 | 12.7.0 | 13.0.0 |
| mideind/IceBERT | 124 | 50 | 512 | True | 16,697 ± 2,113 / 5,432 ± 1,749 | 3.83 | 86.50 ± 0.96 / 87.11 ± 0.90 | 10.13 ± 8.55 / 47.31 ± 7.04 | 5.35 ± 3.50 / 8.28 ± 5.36 | 0.0.0 | 0.0.0 | 13.0.0 |
| mistralai/Mistral-7B-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 4,120 ± 976 / 926 ± 306 | 3.84 | 61.32 ± 4.26 / 59.28 ± 4.43 | 1.30 ± 1.64 / 45.10 ± 3.27 | 44.98 ± 1.62 / 62.38 ± 1.68 | 12.10.4 | 12.10.4 | 13.0.0 |
| AI-Nordics/bert-large-swedish-cased | 334 | 31 | 512 | True | 7,199 ± 1,139 / 2,051 ± 651 | 3.86 | 83.22 ± 0.71 / 83.91 ± 0.66 | 6.78 ± 3.31 / 51.53 ± 2.36 | 15.94 ± 1.67 / 22.00 ± 2.12 | 12.7.0 | 12.7.0 | 13.0.0 |
| NbAiLab/nb-roberta-base-scandinavian | 125 | 50 | 512 | True | 14,051 ± 3,289 / 2,704 ± 897 | 3.89 | 86.10 ± 0.64 / 86.75 ± 0.57 | 6.28 ± 2.41 / 49.62 ± 2.08 | 9.89 ± 2.08 / 14.41 ± 3.08 | 0.0.0 | 0.0.0 | 13.0.0 |
| Geotrend/bert-base-da-cased | 103 | 23 | 512 | True | 15,432 ± 2,838 / 3,642 ± 1,189 | 3.91 | 86.62 ± 0.43 / 87.31 ± 0.44 | 3.64 ± 3.82 / 49.77 ± 2.26 | 13.84 ± 1.99 / 21.44 ± 2.62 | 0.0.0 | 0.0.0 | 13.0.0 |
| mideind/IceBERT-mC4-is | 163 | 50 | 512 | True | 12,308 ± 1,614 / 3,851 ± 1,254 | 3.91 | 88.44 ± 0.35 / 89.11 ± 0.38 | 11.83 ± 4.90 / 48.95 ± 6.81 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) | 7242 | 32 | 32768 | False | 5,822 ± 1,283 / 1,336 ± 430 | 3.93 | 63.40 ± 2.78 / 59.96 ± 2.91 | 2.16 ± 2.25 / 39.38 ± 4.12 | 40.73 ± 1.32 / 57.50 ± 1.39 | 12.7.0 | 12.7.0 | 13.0.0 |
| ibm-granite/granite-3.0-8b-base (few-shot) | 8171 | 49 | 4224 | True | 5,116 ± 943 / 1,436 ± 472 | 3.93 | 61.47 ± 1.57 / 58.60 ± 2.31 | 1.44 ± 1.85 / 34.71 ± 1.84 | 41.54 ± 1.49 / 58.90 ± 1.24 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Llama-3.2-3B-Instruct (few-shot) | 3213 | 128 | 131200 | False | 10,424 ± 2,641 / 2,081 ± 666 | 3.93 | 58.24 ± 3.73 / 47.44 ± 4.83 | 1.77 ± 2.13 / 45.44 ± 4.00 | 45.13 ± 1.12 / 64.71 ± 0.74 | 13.0.0 | 13.0.0 | 13.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-medium | 124 | 50 | 512 | True | 14,998 ± 2,549 / 3,833 ± 1,223 | 3.95 | 84.92 ± 0.70 / 85.65 ± 0.67 | 2.96 ± 2.66 / 45.42 ± 4.03 | 14.00 ± 2.44 / 20.08 ± 3.54 | 0.0.0 | 0.0.0 | 13.0.0 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 3.97 | 61.28 ± 2.98 / 54.02 ± 3.55 | 1.68 ± 1.41 / 50.06 ± 1.22 | 39.00 ± 1.21 / 59.78 ± 1.14 | 9.2.0 | 9.3.1 | 13.0.0 |
| ibm-granite/granite-3.0-8b-instruct (few-shot) | 8171 | 49 | 4096 | True | 5,090 ± 937 / 1,423 ± 466 | 3.98 | 59.96 ± 2.42 / 58.61 ± 2.57 | 2.24 ± 1.78 / 41.32 ± 3.70 | 39.52 ± 1.83 / 57.16 ± 2.10 | 13.0.0 | 13.0.0 | 13.0.0 |
| KBLab/bert-base-swedish-cased-new | 135 | 64 | 512 | True | 15,933 ± 2,541 / 4,289 ± 1,376 | 4.00 | 84.02 ± 0.86 / 84.66 ± 0.82 | 5.65 ± 3.07 / 49.17 ± 3.05 | 7.14 ± 2.31 / 10.87 ± 3.52 | 12.7.0 | 12.7.0 | 13.0.0 |
| ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 4.00 | 66.82 ± 2.36 / 65.84 ± 2.35 | -0.36 ± 1.67 / 37.57 ± 3.35 | 36.47 ± 0.96 / 51.89 ± 1.05 | 13.0.0 | 13.0.0 | 13.0.0 |
| flax-community/nordic-roberta-wiki | 124 | 50 | 512 | True | 16,227 ± 2,650 / 4,252 ± 1,393 | 4.01 | 82.64 ± 0.63 / 83.27 ± 0.65 | 8.03 ± 2.01 / 51.96 ± 1.87 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| occiglot/occiglot-7b-eu5-instruct (few-shot) | 7242 | 32 | 32768 | False | 2,088 ± 352 / 706 ± 214 | 4.01 | 60.37 ± 3.60 / 59.38 ± 3.85 | 0.00 ± 0.00 / 33.26 ± 0.34 | 43.69 ± 2.03 / 60.55 ± 1.76 | 12.5.2 | 12.3.1 | 13.0.0 |
| mideind/IceBERT-ic3 | 124 | 50 | 512 | True | 12,119 ± 1,576 / 3,812 ± 1,242 | 4.02 | 87.22 ± 0.68 / 87.92 ± 0.59 | 6.23 ± 6.96 / 48.55 ± 4.87 | 2.98 ± 1.75 / 4.35 ± 2.54 | 0.0.0 | 0.0.0 | 13.0.0 |
| KBLab/megatron-bert-base-swedish-cased-600k | 135 | 64 | 512 | True | 15,726 ± 2,508 / 4,234 ± 1,365 | 4.03 | 81.02 ± 0.75 / 81.74 ± 0.75 | 4.00 ± 2.04 / 50.51 ± 1.11 | 12.98 ± 1.18 / 20.39 ± 1.75 | 12.7.0 | 12.7.0 | 13.0.0 |
| vesteinn/XLMR-ENIS | 125 | 50 | 512 | True | 10,711 ± 2,333 / 2,141 ± 689 | 4.03 | 87.09 ± 0.76 / 87.71 ± 0.73 | 3.09 ± 1.98 / 39.41 ± 4.45 | 5.75 ± 2.66 / 8.73 ± 4.07 | 0.0.0 | 0.0.0 | 13.0.0 |
| ZurichNLP/unsup-simcse-xlm-roberta-base | 277 | 250 | 512 | True | 34,520 ± 7,443 / 6,730 ± 2,224 | 4.04 | 84.14 ± 0.67 / 84.82 ± 0.64 | 1.33 ± 2.18 / 48.85 ± 1.23 | 14.20 ± 1.78 / 22.95 ± 2.71 | 12.6.1 | 12.6.1 | 13.0.0 |
| CohereForAI/aya-23-8B (few-shot) | 8028 | 256 | 8192 | False | 5,608 ± 1,062 / 1,472 ± 479 | 4.05 | 62.22 ± 2.10 / 58.79 ± 2.20 | 0.01 ± 2.43 / 37.74 ± 4.20 | 38.70 ± 1.22 / 54.70 ± 0.93 | 13.0.0 | 13.0.0 | 13.0.0 |
| mideind/IceBERT-igc | 124 | 50 | 512 | True | 12,551 ± 1,656 / 3,918 ± 1,274 | 4.05 | 83.82 ± 0.98 / 84.34 ± 0.88 | 4.93 ± 3.16 / 45.85 ± 3.66 | 5.17 ± 2.95 / 7.88 ± 4.65 | 0.0.0 | 0.0.0 | 13.0.0 |
| AI-Sweden-Models/tyr (few-shot, val) | 7242 | 32 | 32768 | False | 6,079 ± 1,051 / 1,760 ± 570 | 4.06 | 60.21 ± 3.50 / 58.44 ± 3.67 | 0.00 ± 0.00 / 33.10 ± 0.80 | 40.88 ± 2.10 / 59.65 ± 1.92 | 12.3.2 | 12.3.2 | 13.0.0 |
| occiglot/occiglot-7b-eu5 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 4.06 | 58.67 ± 3.95 / 58.47 ± 3.96 | 0.00 ± 0.00 / 33.26 ± 0.34 | 40.95 ± 1.80 / 55.82 ± 1.95 | 12.5.2 | 12.1.0 | 13.0.0 |
| vesteinn/IceBERT | 163 | 50 | 512 | True | 12,360 ± 1,611 / 3,858 ± 1,246 | 4.07 | 87.13 ± 0.58 / 87.70 ± 0.45 | 3.66 ± 3.33 / 40.81 ± 4.34 | 5.07 ± 3.59 / 8.05 ± 5.61 | 0.0.0 | 0.0.0 | 13.0.0 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) | 7242 | 32 | 32768 | True | 5,054 ± 1,200 / 1,056 ± 339 | 4.10 | 58.96 ± 2.05 / 52.20 ± 2.50 | 0.00 ± 0.00 / 33.26 ± 0.34 | 39.20 ± 1.10 / 54.89 ± 1.25 | 12.5.3 | 12.5.3 | 13.0.0 |
| KBLab/megatron-bert-large-swedish-cased-110k | 369 | 64 | 512 | True | 7,075 ± 1,093 / 2,057 ± 661 | 4.11 | 82.36 ± 0.91 / 82.94 ± 0.90 | 5.20 ± 2.67 / 50.88 ± 1.55 | 2.65 ± 1.46 / 4.33 ± 2.24 | 0.0.0 | 0.0.0 | 13.0.0 |
| google-bert/bert-base-multilingual-uncased | 167 | 106 | 512 | True | 13,993 ± 3,217 / 2,752 ± 893 | 4.13 | 73.06 ± 1.51 / 72.61 ± 1.40 | 5.48 ± 2.42 / 49.18 ± 3.63 | 11.29 ± 2.19 / 18.32 ± 2.98 | 0.0.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-8b-code-instruct-4k (few-shot) | 8055 | 49 | 4096 | True | 5,617 ± 995 / 1,623 ± 540 | 4.13 | 60.46 ± 2.53 / 58.29 ± 2.53 | 0.51 ± 0.78 / 36.20 ± 2.37 | 33.54 ± 1.00 / 49.02 ± 0.91 | 13.0.0 | 13.0.0 | 13.0.0 |
| distilbert/distilbert-base-multilingual-cased | 135 | 120 | 512 | True | 26,355 ± 5,946 / 5,266 ± 1,714 | 4.16 | 84.80 ± 0.85 / 85.49 ± 0.80 | 4.41 ± 4.92 / 50.84 ± 1.97 | 1.44 ± 1.03 / 2.60 ± 1.90 | 0.0.0 | 0.0.0 | 13.0.0 |
| patrickvonplaten/norwegian-roberta-base | 124 | 50 | 512 | True | 15,698 ± 2,699 / 3,891 ± 1,278 | 4.17 | 82.57 ± 0.93 / 83.35 ± 0.91 | 5.74 ± 3.53 / 48.75 ± 3.22 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) | 6738 | 32 | 4096 | False | 5,384 ± 879 / 1,746 ± 553 | 4.18 | 53.38 ± 3.96 / 53.04 ± 3.85 | 0.46 ± 2.01 / 44.83 ± 3.28 | 35.99 ± 1.01 / 51.25 ± 1.12 | 12.5.2 | 12.3.2 | 13.0.0 |
| Twitter/twhin-bert-large | 560 | 250 | 512 | True | 9,707 ± 1,664 / 2,549 ± 831 | 4.19 | 84.73 ± 1.49 / 85.19 ± 1.59 | 1.37 ± 2.46 / 39.78 ± 3.24 | 4.15 ± 4.39 / 5.74 ± 6.06 | 0.0.0 | 0.0.0 | 13.0.0 |
| DeepPavlov/rubert-base-cased | 177 | 120 | 512 | True | 15,785 ± 2,658 / 3,983 ± 1,289 | 4.20 | 83.15 ± 0.73 / 83.90 ± 0.74 | 3.21 ± 2.89 / 47.97 ± 3.56 | 1.53 ± 1.23 / 2.95 ± 2.23 | 0.0.0 | 0.0.0 | 13.0.0 |
| Geotrend/distilbert-base-25lang-cased | 109 | 85 | 512 | True | 26,099 ± 5,881 / 5,178 ± 1,665 | 4.20 | 83.21 ± 0.53 / 83.81 ± 0.45 | 2.37 ± 4.63 / 48.46 ± 3.19 | 1.35 ± 1.03 / 2.54 ± 1.88 | 12.6.1 | 12.6.1 | 13.0.0 |
| vesteinn/DanskBERT | 124 | 50 | 512 | True | 15,749 ± 2,665 / 4,014 ± 1,281 | 4.20 | 85.04 ± 0.57 / 85.72 ± 0.50 | 4.48 ± 1.63 / 44.45 ± 4.77 | 0.15 ± 0.29 / 0.21 ± 0.39 | 0.0.0 | 0.0.0 | 13.0.0 |
| clips/mfaq | 277 | 250 | 512 | True | 5,591 ± 187 / 3,349 ± 1,105 | 4.21 | 85.86 ± 0.51 / 86.55 ± 0.49 | 0.80 ± 2.32 / 42.37 ± 4.42 | 2.17 ± 2.62 / 2.93 ± 3.66 | 12.7.0 | 12.7.0 | 13.0.0 |
| flax-community/swe-roberta-wiki-oscar | 124 | 50 | 512 | True | 15,437 ± 2,628 / 3,834 ± 1,252 | 4.21 | 80.52 ± 0.76 / 81.35 ± 0.69 | 6.51 ± 3.60 / 51.81 ± 1.95 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 4.21 | 59.77 ± 3.38 / 56.97 ± 4.30 | -0.54 ± 1.61 / 36.94 ± 2.79 | 31.87 ± 2.20 / 46.21 ± 1.15 | 9.3.1 | 9.3.1 | 13.0.0 |
| DDSC/roberta-base-danish | 125 | 50 | 512 | True | 15,004 ± 2,964 / 3,290 ± 1,092 | 4.22 | 80.21 ± 0.95 / 80.80 ± 0.97 | 1.10 ± 2.44 / 48.16 ± 1.47 | 7.95 ± 1.36 / 11.84 ± 1.76 | 0.0.0 | 0.0.0 | 13.0.0 |
| TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) | 7800 | 100 | 4096 | True | 6,197 ± 1,118 / 1,730 ± 577 | 4.23 | 43.13 ± 3.96 / 42.16 ± 3.93 | 0.88 ± 1.93 / 34.15 ± 0.71 | 43.32 ± 1.32 / 63.19 ± 1.25 | 13.0.0 | 13.0.0 | 13.0.0 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 4.23 | 55.42 ± 2.12 / 46.41 ± 2.50 | 1.11 ± 2.41 / 36.79 ± 4.00 | 33.54 ± 1.29 / 50.80 ± 1.31 | 9.3.1 | 9.3.1 | 13.0.0 |
| Geotrend/distilbert-base-en-no-cased | 69 | 33 | 512 | True | 26,597 ± 6,036 / 5,271 ± 1,697 | 4.25 | 82.05 ± 0.46 / 82.67 ± 0.43 | 3.98 ± 2.94 / 50.53 ± 1.83 | 0.97 ± 1.01 / 1.92 ± 1.82 | 12.7.0 | 12.7.0 | 13.0.0 |
| KB/bert-base-swedish-cased | 124 | 50 | 512 | True | 16,181 ± 2,451 / 4,620 ± 1,507 | 4.25 | 82.76 ± 1.26 / 83.50 ± 1.20 | 3.98 ± 2.70 / 47.46 ± 2.35 | 0.00 ± 0.00 / 0.01 ± 0.02 | 0.0.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/stsb-xlm-r-multilingual | 277 | 250 | 512 | True | 15,040 ± 2,953 / 3,417 ± 1,100 | 4.25 | 82.97 ± 0.83 / 83.62 ± 0.81 | 2.93 ± 1.96 / 46.51 ± 4.19 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| microsoft/infoxlm-base | 277 | 250 | 512 | True | 34,735 ± 7,558 / 6,846 ± 2,312 | 4.27 | 85.58 ± 1.04 / 86.23 ± 1.03 | 0.35 ± 2.36 / 43.55 ± 4.58 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | 118 | 250 | 512 | True | 29,201 ± 6,282 / 6,045 ± 2,027 | 4.27 | 82.24 ± 0.85 / 82.84 ± 0.78 | 2.84 ± 1.41 / 50.47 ± 1.13 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| dbmdz/bert-base-historic-multilingual-cased | 110 | 32 | 512 | True | 20,047 ± 4,407 / 3,844 ± 1,259 | 4.28 | 80.45 ± 1.48 / 81.32 ± 1.42 | 2.52 ± 1.88 / 47.78 ± 1.67 | 0.58 ± 0.81 / 1.12 ± 1.62 | 0.0.0 | 0.0.0 | 13.0.0 |
| Twitter/twhin-bert-base | 279 | 250 | 512 | True | 11,514 ± 2,041 / 2,862 ± 918 | 4.29 | 84.00 ± 1.30 / 84.83 ± 1.28 | 1.94 ± 2.58 / 46.27 ± 2.74 | 0.02 ± 0.05 / 0.02 ± 0.05 | 12.6.1 | 12.6.1 | 13.0.0 |
| MaLA-LM/emma-500-llama2-7b (few-shot) | 6738 | 32 | 4096 | True | 6,275 ± 1,193 / 1,755 ± 578 | 4.31 | 40.18 ± 3.60 / 39.95 ± 3.38 | 0.31 ± 1.71 / 41.35 ± 4.05 | 41.60 ± 2.49 / 60.78 ± 2.12 | 13.0.0 | 13.0.0 | 13.0.0 |
| cardiffnlp/twitter-xlm-roberta-base | 277 | 250 | 512 | True | 34,475 ± 7,465 / 6,712 ± 2,223 | 4.31 | 83.96 ± 0.80 / 84.63 ± 0.76 | 1.05 ± 1.66 / 41.31 ± 4.91 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| deepset/gbert-base | 109 | 31 | 512 | True | 37,268 ± 6,577 / 8,719 ± 2,865 | 4.31 | 80.48 ± 0.91 / 81.17 ± 0.85 | 0.60 ± 2.08 / 45.78 ± 2.54 | 2.63 ± 1.57 / 4.63 ± 2.53 | 0.0.0 | 0.0.0 | 13.0.0 |
| microsoft/xlm-align-base | 277 | 250 | 512 | True | 14,744 ± 2,870 / 3,265 ± 1,053 | 4.32 | 85.97 ± 1.12 / 86.52 ± 1.08 | 0.02 ± 1.38 / 44.65 ± 2.65 | 0.72 ± 0.93 / 1.00 ± 1.31 | 0.0.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 135 | 120 | 512 | True | 33,753 ± 8,349 / 5,937 ± 1,946 | 4.33 | 82.91 ± 0.89 / 83.43 ± 0.87 | 1.67 ± 2.22 / 46.20 ± 3.31 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/quora-distilbert-multilingual | 135 | 120 | 512 | True | 26,458 ± 5,992 / 5,274 ± 1,731 | 4.33 | 82.91 ± 0.89 / 83.43 ± 0.87 | 1.67 ± 2.22 / 46.20 ± 3.31 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| KBLab/bert-base-swedish-cased | 125 | 50 | 512 | True | 16,164 ± 2,392 / 4,574 ± 1,478 | 4.35 | 79.99 ± 1.13 / 80.76 ± 1.10 | 1.32 ± 2.66 / 49.75 ± 1.50 | 0.10 ± 0.15 / 0.13 ± 0.19 | 12.7.0 | 12.7.0 | 13.0.0 |
| sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | 278 | 250 | 512 | True | 15,100 ± 3,019 / 3,369 ± 1,103 | 4.35 | 81.70 ± 0.58 / 82.18 ± 0.53 | 0.25 ± 2.87 / 44.81 ± 2.90 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.7.0 | 0.0.0 | 13.0.0 |
| dbmdz/bert-medium-historic-multilingual-cased | 42 | 32 | 512 | True | 24,291 ± 4,887 / 5,096 ± 1,655 | 4.37 | 80.58 ± 0.45 / 81.29 ± 0.46 | 1.58 ± 2.34 / 49.16 ± 2.33 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v2 | 135 | 120 | 512 | True | 33,247 ± 8,123 / 6,017 ± 1,977 | 4.37 | 77.00 ± 1.08 / 77.85 ± 1.05 | 4.09 ± 2.27 / 47.26 ± 3.09 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 0.0.0 | 13.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased | 135 | 120 | 512 | True | 19,206 ± 4,451 / 3,658 ± 1,187 | 4.37 | 77.16 ± 0.93 / 78.00 ± 0.91 | 4.09 ± 2.27 / 47.26 ± 3.09 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 0.0.0 | 13.0.0 |
| sentence-transformers/paraphrase-xlm-r-multilingual-v1 | 278 | 250 | 512 | True | 20,154 ± 4,438 / 3,890 ± 1,256 | 4.37 | 80.92 ± 0.59 / 81.63 ± 0.56 | 1.19 ± 2.37 / 43.13 ± 4.70 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 0.0.0 | 13.0.0 |
| DDSC/roberta-base-scandinavian | 124 | 50 | 512 | True | 14,491 ± 2,800 / 3,182 ± 1,026 | 4.39 | 63.86 ± 20.89 / 64.42 ± 21.07 | 0.73 ± 2.11 / 49.36 ± 1.78 | 10.57 ± 1.30 / 15.52 ± 1.88 | 0.0.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-3b-code-base-2k (few-shot) | 3483 | 49 | 2048 | True | 2,732 ± 868 / 662 ± 238 | 4.39 | 60.88 ± 2.03 / 60.02 ± 1.84 | -0.35 ± 1.18 / 34.50 ± 1.25 | 18.54 ± 1.93 / 29.79 ± 1.35 | 13.0.0 | 13.0.0 | 13.0.0 |
| FacebookAI/roberta-base | 124 | 50 | 512 | True | 13,354 ± 3,334 / 2,451 ± 777 | 4.40 | 81.78 ± 0.95 / 82.55 ± 0.90 | -1.18 ± 2.36 / 37.68 ± 3.64 | 0.69 ± 0.78 / 1.03 ± 1.15 | 0.0.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 | 135 | 120 | 512 | True | 34,042 ± 8,482 / 5,951 ± 1,950 | 4.40 | 75.63 ± 1.41 / 76.23 ± 1.36 | 3.65 ± 1.93 / 48.34 ± 1.78 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 0.0.0 | 13.0.0 |
| pdelobelle/robbert-v2-dutch-base | 116 | 40 | 512 | True | 15,481 ± 2,820 / 3,708 ± 1,186 | 4.42 | 78.59 ± 1.16 / 79.35 ± 1.08 | 0.65 ± 2.63 / 47.40 ± 3.23 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 4.43 | 67.42 ± 2.21 / 60.87 ± 3.22 | 7.02 ± 1.56 / 49.32 ± 2.91 | 0.65 ± 0.17 / 7.03 ± 0.26 | 12.6.1 | 12.6.1 | 13.0.0 |
| dbmdz/bert-mini-historic-multilingual-cased | 12 | 32 | 512 | True | 47,122 ± 9,661 / 9,714 ± 3,152 | 4.47 | 71.10 ± 6.05 / 71.10 ± 6.05 | 2.29 ± 2.11 / 48.81 ± 1.33 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.10.1 | 0.0.0 | 13.0.0 |
| dbmdz/bert-tiny-historic-multilingual-cased | 5 | 32 | 512 | True | 78,027 ± 15,466 / 17,064 ± 5,335 | 4.47 | 72.08 ± 1.25 / 72.93 ± 1.20 | 2.65 ± 2.40 / 48.48 ± 1.87 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| 3ebdola/Dialectal-Arabic-XLM-R-Base | 277 | 250 | 512 | True | 12,783 ± 2,537 / 2,712 ± 885 | 4.51 | 73.34 ± 1.57 / 74.24 ± 1.56 | 0.97 ± 2.25 / 44.25 ± 3.12 | 0.00 ± 0.00 / 0.01 ± 0.02 | 12.6.1 | 12.6.1 | 13.0.0 |
| KBLab/albert-base-swedish-cased-alpha | 14 | 50 | 512 | True | 15,925 ± 2,281 / 4,780 ± 1,554 | 4.51 | 73.80 ± 0.98 / 74.58 ± 0.92 | 0.81 ± 2.90 / 48.11 ± 2.18 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| ltg/norbert2 | 125 | 50 | 512 | True | 15,523 ± 2,863 / 3,690 ± 1,195 | 4.54 | 60.57 ± 0.86 / 60.42 ± 0.90 | 4.16 ± 2.63 / 47.13 ± 3.43 | 7.84 ± 0.99 / 14.80 ± 1.25 | 0.0.0 | 0.0.0 | 13.0.0 |
| Maltehb/aelaectra-danish-electra-small-uncased | 14 | 32 | 128 | True | 5,995 ± 135 / 3,839 ± 1,247 | 4.55 | 62.07 ± 1.18 / 61.72 ± 1.18 | 5.11 ± 3.80 / 47.64 ± 4.52 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| EuropeanParliament/EUBERT | 94 | 66 | 512 | True | 20,070 ± 3,977 / 4,400 ± 1,435 | 4.59 | 59.50 ± 1.56 / 58.98 ± 1.55 | 3.25 ± 2.04 / 49.77 ± 1.40 | 5.56 ± 1.52 / 10.14 ± 2.41 | 12.6.1 | 12.6.1 | 13.0.0 |
| ibm-granite/granite-3b-code-instruct-2k (few-shot) | 3483 | 49 | 2048 | True | 9,059 ± 1,947 / 2,201 ± 728 | 4.61 | 56.88 ± 2.51 / 57.68 ± 2.14 | -0.21 ± 2.20 / 34.20 ± 1.19 | 13.72 ± 2.56 / 24.11 ± 2.40 | 13.0.0 | 13.0.0 | 13.0.0 |
| sarnikowski/convbert-medium-small-da-cased | 24 | 29 | 512 | True | 13,821 ± 2,209 / 3,547 ± 1,184 | 4.61 | 59.66 ± 0.63 / 59.39 ± 0.60 | 4.58 ± 3.90 / 50.83 ± 2.59 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| sarnikowski/convbert-small-da-cased | 13 | 29 | 512 | True | 14,273 ± 2,312 / 3,555 ± 1,187 | 4.65 | 58.50 ± 0.63 / 58.33 ± 0.70 | 5.96 ± 2.04 / 51.99 ± 1.53 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) | 3374 | 49 | 4096 | True | 10,246 ± 3,021 / 1,629 ± 550 | 4.66 | 45.56 ± 1.92 / 42.78 ± 1.78 | 0.92 ± 2.19 / 40.29 ± 3.87 | 20.82 ± 1.22 / 31.49 ± 1.49 | 13.0.0 | 13.0.0 | 13.0.0 |
| Maltehb/aelaectra-danish-electra-small-cased | 14 | 32 | 512 | True | 4,593 ± 114 / 3,034 ± 973 | 4.76 | 58.52 ± 3.91 / 59.67 ± 3.83 | 1.09 ± 2.20 / 33.70 ± 0.56 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.7.0 | 12.7.0 | 13.0.0 |
| ibm-granite/granite-3.0-3b-a800m-base (few-shot) | 3374 | 49 | 4096 | True | 10,504 ± 3,028 / 1,678 ± 559 | 4.81 | 41.27 ± 4.31 / 40.85 ± 4.31 | -0.20 ± 2.17 / 43.01 ± 3.39 | 19.69 ± 2.66 / 29.77 ± 2.80 | 13.0.0 | 13.0.0 | 13.0.0 |
| fresh-xlm-roberta-base | 277 | 250 | 512 | True | 2,214 ± 94 / 1,494 ± 229 | 4.92 | 48.70 ± 1.57 / 48.51 ± 1.57 | 2.37 ± 2.06 / 37.68 ± 3.25 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 13.0.0 |
| HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) | 1711 | 49 | 8192 | True | 15,971 ± 3,654 / 3,609 ± 1,197 | 4.99 | 40.28 ± 3.29 / 42.15 ± 2.85 | -0.26 ± 1.92 / 38.29 ± 4.03 | 10.68 ± 1.75 / 17.52 ± 1.85 | 13.1.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-1.7B (few-shot) | 1711 | 49 | 8192 | True | 16,249 ± 3,690 / 3,689 ± 1,226 | 5.15 | 27.91 ± 4.97 / 30.98 ± 4.28 | -0.48 ± 0.89 / 33.97 ± 1.00 | 16.56 ± 1.66 / 26.11 ± 1.42 | 13.1.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-135M (few-shot) | 135 | 49 | 8192 | True | 26,346 ± 7,812 / 4,082 ± 1,372 | 5.37 | 25.51 ± 2.40 / 26.43 ± 1.77 | 0.46 ± 1.43 / 36.19 ± 3.30 | 0.15 ± 0.20 / 3.01 ± 0.44 | 13.1.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) | 362 | 49 | 8192 | True | 21,777 ± 6,115 / 3,617 ± 1,211 | 5.41 | 26.85 ± 3.99 / 27.35 ± 3.60 | -0.12 ± 1.62 / 45.84 ± 3.59 | 1.39 ± 0.54 / 4.02 ± 0.64 | 13.1.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-360M (few-shot) | 362 | 49 | 8192 | True | 22,023 ± 6,203 / 3,675 ± 1,231 | 5.41 | 28.14 ± 2.42 / 28.12 ± 2.55 | -0.06 ± 0.67 / 33.85 ± 0.68 | 2.43 ± 0.73 / 6.05 ± 0.59 | 13.1.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) | 135 | 49 | 8192 | True | 25,602 ± 7,583 / 3,953 ± 1,325 | 5.47 | 23.22 ± 3.22 / 24.30 ± 2.81 | 0.41 ± 2.39 / 39.64 ± 3.47 | 0.54 ± 0.33 / 3.34 ± 0.61 | 13.1.0 | 13.1.0 | 13.1.0 |
| ssmits/Falcon2-5.5B-multilingual (few-shot) | 5465 | 65 | 8192 | True | 7,692 ± 1,423 / 1,960 ± 644 | 6.01 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.40 ± 0.34 | 0.00 ± 0.00 / 0.00 ± 0.00 | 13.0.0 | 13.0.0 | 13.0.0 |