Icelandic NLU 🇮🇸

Last updated: 28/05/2024 09:18:09 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank MIM-GOLD-NER ScaLA-is NQiI MIM-GOLD-NER version ScaLA-is version NQiI version
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.09 86.37 ± 1.19 / 82.25 ± 2.73 52.13 ± 4.37 / 71.97 ± 3.44 37.26 ± 2.60 / 66.04 ± 1.95 12.5.1 12.5.1 12.5.1
microsoft/mdeberta-v3-base 278 251 512 True 20,637 ± 3,925 / 4,497 ± 1,502 1.33 81.12 ± 2.02 / 81.48 ± 1.69 54.11 ± 2.40 / 76.46 ± 1.28 30.93 ± 0.96 / 56.17 ± 1.10 0.0.0 0.0.0 0.0.0
vesteinn/ScandiBERT-no-faroese 124 50 512 True 15,436 ± 2,820 / 3,704 ± 1,187 1.49 83.94 ± 1.34 / 84.66 ± 0.91 58.64 ± 1.69 / 78.30 ± 1.26 25.35 ± 1.34 / 48.61 ± 1.71 0.0.0 0.0.0 0.0.0
google/rembert 575 250 256 True 11,736 ± 2,822 / 2,102 ± 677 1.57 78.05 ± 1.72 / 78.74 ± 1.41 48.29 ± 2.59 / 73.54 ± 1.99 29.38 ± 1.81 / 52.42 ± 3.00 0.0.0 0.0.0 0.0.0
vesteinn/XLMR-ENIS 124 50 512 True 10,711 ± 2,333 / 2,141 ± 689 1.59 82.20 ± 1.83 / 82.70 ± 1.41 48.51 ± 5.94 / 71.40 ± 4.38 27.06 ± 1.18 / 51.37 ± 1.42 0.0.0 0.0.0 0.0.0
gpt-4-0613 (few-shot, val) unknown 100 8316 True 597 ± 197 / 93 ± 33 1.80 78.67 ± 2.16 / 59.54 ± 4.85 33.65 ± 3.19 / 60.56 ± 2.35 32.25 ± 2.01 / 60.12 ± 1.31 12.10.0 12.10.0 12.10.0
mideind/IceBERT-large 354 50 512 True 5,677 ± 719 / 1,886 ± 604 1.85 85.14 ± 1.31 / 84.37 ± 1.00 59.31 ± 2.97 / 78.19 ± 1.97 12.84 ± 1.51 / 49.01 ± 3.34 0.0.0 0.0.0 0.0.0
mideind/IceBERT 124 50 512 True 16,697 ± 2,113 / 5,432 ± 1,749 1.85 85.32 ± 1.11 / 81.56 ± 1.07 60.44 ± 1.93 / 78.11 ± 1.40 13.31 ± 0.95 / 49.21 ± 1.36 0.0.0 0.0.0 0.0.0
vesteinn/FoBERT 124 50 512 True 15,623 ± 2,828 / 3,737 ± 1,191 1.87 85.04 ± 0.95 / 80.51 ± 1.10 50.78 ± 2.21 / 73.10 ± 1.10 17.76 ± 2.33 / 36.98 ± 3.29 0.0.0 0.0.0 0.0.0
mideind/IceBERT-xlmr-ic3 277 250 512 True 11,004 ± 2,244 / 2,324 ± 761 1.93 84.35 ± 1.14 / 85.07 ± 1.09 59.12 ± 1.94 / 78.14 ± 1.24 11.18 ± 1.04 / 44.02 ± 2.30 0.0.0 0.0.0 0.0.0
vesteinn/IceBERT 124 50 512 True 12,360 ± 1,611 / 3,858 ± 1,246 1.94 85.34 ± 0.66 / 84.80 ± 0.60 55.88 ± 2.20 / 74.91 ± 1.96 13.31 ± 0.95 / 49.21 ± 1.36 0.0.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-70B (few-shot, val) 70554 128 8192 True 312 ± 55 / 177 ± 51 2.04 75.33 ± 3.06 / 62.43 ± 3.11 14.89 ± 3.28 / 51.55 ± 4.71 34.36 ± 2.87 / 64.02 ± 2.94 12.7.0 12.7.0 12.7.0
mideind/IceBERT-ic3 124 50 512 True 12,119 ± 1,576 / 3,812 ± 1,242 2.12 85.03 ± 0.86 / 85.01 ± 0.93 45.06 ± 11.13 / 67.74 ± 7.92 10.82 ± 1.12 / 42.82 ± 2.91 0.0.0 0.0.0 0.0.0
mideind/IceBERT-igc 124 50 512 True 12,551 ± 1,656 / 3,918 ± 1,274 2.16 79.85 ± 0.94 / 79.32 ± 0.74 54.38 ± 3.78 / 75.08 ± 2.62 9.91 ± 0.65 / 42.34 ± 1.46 0.0.0 0.0.0 0.0.0
jonfd/electra-small-nordic 22 96 128 True 5,989 ± 120 / 3,809 ± 1,230 2.20 77.40 ± 0.48 / 78.58 ± 0.56 60.64 ± 1.44 / 79.20 ± 1.14 6.51 ± 1.69 / 22.61 ± 5.24 0.0.0 0.0.0 0.0.0
gpt-4o-2024-05-13 (few-shot, val) unknown 200 127999 True 916 ± 329 / 114 ± 38 2.23 81.19 ± 2.45 / 54.02 ± 5.60 10.31 ± 7.32 / 39.50 ± 4.02 29.64 ± 2.12 / 55.46 ± 1.12 12.10.0 12.10.0 12.10.0
pere/roberta-debug-8 277 250 512 True 15,103 ± 2,954 / 3,356 ± 1,090 2.23 79.95 ± 1.64 / 80.82 ± 1.21 47.87 ± 2.08 / 71.03 ± 1.60 8.68 ± 1.65 / 37.44 ± 3.06 0.0.0 0.0.0 0.0.0
sentence-transformers/use-cmlm-multilingual 470 501 512 True 30,231 ± 8,171 / 4,863 ± 1,598 2.27 80.91 ± 1.24 / 81.30 ± 0.97 41.91 ± 3.45 / 67.96 ± 2.53 13.73 ± 0.73 / 52.73 ± 0.85 0.0.0 0.0.0 0.0.0
pere/roberta-base-exp-8 277 250 512 True 15,112 ± 2,969 / 3,347 ± 1,093 2.33 78.58 ± 1.77 / 79.77 ± 1.32 47.36 ± 9.50 / 71.21 ± 5.03 7.68 ± 0.84 / 33.05 ± 0.90 0.0.0 0.0.0 0.0.0
FacebookAI/xlm-roberta-large 559 250 512 True 17,897 ± 3,921 / 3,463 ± 1,141 2.34 82.83 ± 1.09 / 83.16 ± 1.02 22.78 ± 12.25 / 57.07 ± 8.18 15.72 ± 1.39 / 55.29 ± 1.30 0.0.0 0.0.0 0.0.0
NbAiLab/nb-roberta-base-scandi-1e4 277 250 512 True 15,074 ± 2,990 / 3,347 ± 1,080 2.34 81.83 ± 1.65 / 82.24 ± 1.04 51.09 ± 3.83 / 73.24 ± 2.23 6.66 ± 0.69 / 33.95 ± 0.75 0.0.0 0.0.0 0.0.0
setu4993/LaBSE 471 501 512 True 25,418 ± 6,435 / 4,536 ± 1,452 2.34 80.45 ± 1.29 / 81.01 ± 1.16 36.92 ± 7.62 / 66.07 ± 3.89 11.75 ± 0.66 / 46.17 ± 1.42 0.0.0 0.0.0 0.0.0
pere/roberta-debug-32 277 250 512 True 14,958 ± 2,903 / 3,331 ± 1,077 2.36 79.18 ± 1.88 / 80.01 ± 1.64 50.77 ± 3.04 / 72.92 ± 2.20 6.98 ± 0.71 / 32.44 ± 0.58 0.0.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) 70554 128 8317 True 1,673 ± 583 / 275 ± 85 2.38 72.91 ± 3.48 / 68.22 ± 4.46 5.01 ± 4.64 / 50.69 ± 3.23 31.86 ± 1.86 / 60.66 ± 1.58 12.7.0 12.7.0 12.7.0
meta-llama/Llama-2-70b-hf (few-shot, val) 68977 32 4221 True 1,892 ± 650 / 318 ± 105 2.47 63.25 ± 4.52 / 53.70 ± 3.09 0.00 ± 0.00 / 33.12 ± 0.74 32.65 ± 4.82 / 61.15 ± 3.96 12.7.0 12.7.0 12.7.0
gpt-3.5-turbo-0613 (few-shot, val) unknown 100 4095 True 921 ± 293 / 113 ± 37 2.52 69.59 ± 4.54 / 54.49 ± 4.31 7.28 ± 4.10 / 52.96 ± 2.00 28.50 ± 1.79 / 50.29 ± 1.79 0.0.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 2.52 61.69 ± 2.17 / 41.25 ± 3.12 6.10 ± 1.61 / 48.74 ± 3.05 31.52 ± 2.08 / 58.96 ± 1.57 12.6.1 12.6.1 12.6.1
upstage/SOLAR-10.7B-v1.0 (few-shot) 10732 32 4096 True 3,780 ± 906 / 799 ± 261 2.52 62.08 ± 2.27 / 51.09 ± 4.15 7.58 ± 1.03 / 44.38 ± 3.90 29.66 ± 3.02 / 56.60 ± 2.22 12.5.3 12.5.3 12.5.3
pere/roberta-base-exp-32 277 250 512 True 15,081 ± 2,950 / 3,365 ± 1,092 2.60 83.57 ± 0.96 / 83.52 ± 0.76 23.07 ± 13.28 / 57.26 ± 6.91 7.81 ± 1.01 / 34.12 ± 1.47 0.0.0 0.0.0 0.0.0
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32889 True 2,126 ± 676 / 319 ± 104 2.62 61.13 ± 3.80 / 50.79 ± 5.92 7.75 ± 5.66 / 46.83 ± 4.00 27.27 ± 4.08 / 60.91 ± 1.98 12.7.0 12.7.0 12.7.0
pere/roberta-base-exp-32B 277 250 512 True 15,103 ± 2,982 / 3,357 ± 1,081 2.63 80.78 ± 1.03 / 82.22 ± 0.67 25.20 ± 11.63 / 58.89 ± 6.06 8.46 ± 0.80 / 32.56 ± 0.94 0.0.0 0.0.0 0.0.0
cardiffnlp/twitter-xlm-roberta-base 277 250 512 True 34,475 ± 7,465 / 6,712 ± 2,223 2.75 72.69 ± 0.79 / 73.57 ± 1.02 28.72 ± 5.29 / 60.29 ± 3.57 8.46 ± 0.51 / 31.01 ± 0.72 0.0.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 4,687 ± 1,121 / 967 ± 313 2.78 48.70 ± 3.02 / 34.52 ± 2.66 7.49 ± 2.51 / 43.40 ± 4.41 29.56 ± 5.47 / 55.53 ± 5.79 12.6.1 12.6.1 12.6.1
intfloat/multilingual-e5-large 559 250 512 True 6,732 ± 1,273 / 1,633 ± 523 2.83 78.43 ± 1.53 / 79.30 ± 1.03 10.78 ± 7.04 / 53.28 ± 3.97 13.79 ± 0.96 / 54.20 ± 1.31 0.0.0 0.0.0 0.0.0
intfloat/multilingual-e5-base 278 250 512 True 14,965 ± 2,890 / 3,322 ± 1,074 2.84 75.46 ± 1.42 / 77.52 ± 0.88 15.21 ± 8.62 / 54.40 ± 5.57 10.82 ± 0.92 / 43.65 ± 2.51 12.6.1 12.6.1 12.6.1
google/gemma-7b (few-shot) 8538 256 8192 True 1,378 ± 260 / 387 ± 119 2.92 30.61 ± 4.61 / 25.80 ± 3.57 5.60 ± 1.68 / 38.26 ± 2.47 32.22 ± 3.19 / 55.22 ± 2.59 12.9.1 12.9.1 12.9.1
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 2.93 49.20 ± 2.64 / 40.79 ± 4.46 4.45 ± 1.40 / 51.11 ± 0.87 24.61 ± 3.36 / 54.99 ± 2.36 12.5.2 12.5.2 12.5.2
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.95 56.71 ± 1.98 / 46.71 ± 5.28 3.44 ± 2.02 / 50.18 ± 1.14 21.55 ± 2.79 / 54.79 ± 2.02 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/roberta-large-1350k 354 50 512 True 5,744 ± 969 / 1,539 ± 492 2.96 73.92 ± 1.40 / 75.86 ± 1.21 11.77 ± 5.19 / 43.60 ± 7.11 11.84 ± 1.07 / 48.30 ± 1.02 10.0.1 10.0.1 10.0.1
mhenrichsen/hestenettetLM (few-shot) 7242 32 32768 True 5,160 ± 804 / 1,654 ± 516 2.98 50.82 ± 2.72 / 40.35 ± 4.51 0.99 ± 1.54 / 39.38 ± 3.81 25.74 ± 5.44 / 49.45 ± 5.29 12.5.2 12.3.2 12.3.2
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 2.98 47.24 ± 2.54 / 37.77 ± 3.87 1.35 ± 1.70 / 39.37 ± 3.87 25.70 ± 5.36 / 49.31 ± 5.21 9.1.2 9.1.2 12.5.1
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 3.06 27.54 ± 3.01 / 23.54 ± 2.16 4.61 ± 1.64 / 41.57 ± 3.41 28.12 ± 3.77 / 54.61 ± 3.42 9.3.1 9.3.1 9.3.1
clips/mfaq 277 250 512 True 5,591 ± 187 / 3,349 ± 1,105 3.06 77.30 ± 1.23 / 78.59 ± 0.96 3.51 ± 2.33 / 47.05 ± 3.38 11.31 ± 0.85 / 43.26 ± 1.64 12.7.0 12.7.0 12.7.0
microsoft/xlm-align-base 277 250 512 True 14,744 ± 2,870 / 3,265 ± 1,053 3.06 78.01 ± 2.18 / 79.20 ± 2.10 5.92 ± 1.91 / 46.95 ± 3.38 10.47 ± 1.42 / 43.32 ± 3.55 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/tyr (few-shot, val) 7242 32 32768 False 6,079 ± 1,051 / 1,760 ± 570 3.08 50.64 ± 5.79 / 43.64 ± 5.92 -0.06 ± 3.83 / 38.01 ± 2.85 23.36 ± 4.19 / 46.70 ± 2.79 12.3.2 12.3.2 12.3.2
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 3.09 44.85 ± 3.44 / 36.23 ± 4.15 -0.69 ± 2.06 / 35.01 ± 1.14 25.52 ± 5.27 / 49.12 ± 5.22 12.5.2 12.5.2 12.5.2
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4221 True 1,979 ± 621 / 320 ± 105 3.10 46.32 ± 5.10 / 35.77 ± 3.59 -3.31 ± 3.91 / 38.63 ± 2.52 24.26 ± 4.64 / 55.26 ± 2.41 12.7.0 12.7.0 12.7.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 3.10 43.11 ± 2.23 / 29.34 ± 3.27 3.40 ± 1.87 / 48.75 ± 1.47 19.18 ± 3.69 / 49.62 ± 2.59 9.2.0 9.3.1 12.4.0
Mabeck/Heidrun-Mistral-7B-chat (few-shot) 7242 32 32768 False 5,822 ± 1,283 / 1,336 ± 430 3.11 44.84 ± 2.18 / 35.67 ± 3.27 0.44 ± 0.57 / 33.88 ± 0.32 22.77 ± 3.45 / 47.44 ± 2.15 12.7.0 12.7.0 12.7.0
Geotrend/bert-base-da-cased 103 23 512 True 15,432 ± 2,838 / 3,642 ± 1,189 3.12 73.81 ± 0.85 / 75.02 ± 0.89 6.23 ± 2.63 / 45.40 ± 3.87 10.57 ± 1.12 / 42.39 ± 1.52 0.0.0 0.0.0 0.0.0
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 3.14 50.85 ± 4.15 / 42.91 ± 5.02 1.80 ± 3.84 / 49.12 ± 2.51 20.23 ± 3.73 / 52.99 ± 2.11 12.5.2 12.5.2 12.5.2
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 3.14 49.86 ± 4.28 / 42.54 ± 5.03 1.26 ± 3.83 / 48.46 ± 2.37 22.48 ± 4.43 / 55.51 ± 2.89 9.3.2 9.3.2 12.5.2
Geotrend/bert-base-25lang-cased 151 85 512 True 13,908 ± 3,201 / 2,700 ± 872 3.16 74.65 ± 1.65 / 75.83 ± 1.41 2.89 ± 3.00 / 44.63 ± 4.01 9.29 ± 0.66 / 41.76 ± 1.89 0.0.0 0.0.0 0.0.0
Twitter/twhin-bert-base 279 250 512 True 11,514 ± 2,041 / 2,862 ± 918 3.17 70.38 ± 1.44 / 72.00 ± 1.13 11.09 ± 6.94 / 51.60 ± 5.19 7.67 ± 0.74 / 30.52 ± 0.52 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/roberta-large-1160k 354 50 512 True 14,014 ± 2,384 / 3,625 ± 1,146 3.20 74.30 ± 2.15 / 76.10 ± 2.10 2.06 ± 2.43 / 37.04 ± 4.14 11.47 ± 0.96 / 48.11 ± 0.94 10.0.1 10.0.1 10.0.1
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 3.20 36.47 ± 4.24 / 30.33 ± 3.70 2.54 ± 1.29 / 50.66 ± 0.62 18.66 ± 4.26 / 38.73 ± 3.66 12.5.3 12.5.3 12.5.3
google-bert/bert-base-multilingual-uncased 167 106 512 True 13,993 ± 3,217 / 2,752 ± 893 3.21 60.88 ± 1.42 / 59.11 ± 1.19 13.50 ± 7.64 / 52.75 ± 5.19 9.65 ± 0.34 / 42.51 ± 1.87 0.0.0 0.0.0 0.0.0
mideind/IceBERT-mC4-is 163 50 512 True 12,308 ± 1,614 / 3,851 ± 1,254 3.21 79.19 ± 0.96 / 80.35 ± 0.69 20.95 ± 5.57 / 50.96 ± 5.04 0.00 ± 0.00 / 0.00 ± 0.00 0.0.0 0.0.0 0.0.0
ZurichNLP/unsup-simcse-xlm-roberta-base 277 250 512 True 34,520 ± 7,443 / 6,730 ± 2,224 3.24 75.27 ± 1.18 / 76.85 ± 0.94 3.47 ± 1.14 / 47.14 ± 3.33 7.67 ± 0.80 / 32.31 ± 0.81 12.6.1 12.6.1 12.6.1
microsoft/infoxlm-base 277 250 512 True 34,735 ± 7,558 / 6,846 ± 2,312 3.24 77.09 ± 2.00 / 78.38 ± 1.60 1.71 ± 3.02 / 42.83 ± 4.18 8.56 ± 1.96 / 37.41 ± 5.69 0.0.0 0.0.0 0.0.0
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 3.25 40.71 ± 2.93 / 34.57 ± 4.02 0.71 ± 2.00 / 36.90 ± 2.10 20.66 ± 3.67 / 45.91 ± 3.45 12.5.2 12.3.1 12.4.0
KennethEnevoldsen/dfm-sentence-encoder-medium 124 50 512 True 14,998 ± 2,549 / 3,833 ± 1,223 3.30 64.88 ± 1.32 / 67.55 ± 1.07 -0.60 ± 0.90 / 40.52 ± 3.55 12.39 ± 1.75 / 29.86 ± 2.90 0.0.0 0.0.0 0.0.0
NbAiLab/nb-roberta-base-scandinavian 125 50 512 True 14,051 ± 3,289 / 2,704 ± 897 3.31 69.04 ± 1.65 / 71.18 ± 1.15 3.34 ± 1.87 / 44.43 ± 4.20 7.17 ± 0.77 / 30.71 ± 1.15 0.0.0 0.0.0 0.0.0
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4096 False 3,254 ± 1,068 / 484 ± 173 3.32 28.35 ± 2.89 / 26.44 ± 2.75 3.14 ± 1.74 / 44.57 ± 3.85 19.80 ± 2.66 / 43.44 ± 1.74 9.3.1 9.3.1 9.3.1
KennethEnevoldsen/dfm-sentence-encoder-medium-2 124 50 512 True 14,965 ± 2,550 / 3,798 ± 1,216 3.35 64.57 ± 1.62 / 67.12 ± 1.47 0.86 ± 1.11 / 43.33 ± 2.97 10.76 ± 1.00 / 27.29 ± 2.41 0.0.0 0.0.0 0.0.0
google/gemma-7b-it (few-shot) 8538 256 8317 False 1,792 ± 249 / 668 ± 203 3.35 37.69 ± 3.97 / 34.52 ± 3.74 3.11 ± 1.49 / 48.48 ± 2.77 18.34 ± 2.07 / 43.26 ± 1.28 12.10.0 12.10.0 12.10.0
Twitter/twhin-bert-large 560 250 512 True 9,707 ± 1,664 / 2,549 ± 831 3.36 71.48 ± 1.97 / 73.71 ± 1.37 2.20 ± 2.00 / 43.42 ± 4.87 8.19 ± 0.76 / 33.02 ± 1.85 0.0.0 0.0.0 0.0.0
HPLT/gpt-7b-nordic-prerelease (few-shot) 7550 131 4096 True 5,404 ± 931 / 1,638 ± 542 3.37 27.96 ± 3.08 / 25.78 ± 3.20 -0.00 ± 1.28 / 35.53 ± 1.87 23.17 ± 2.78 / 44.72 ± 2.82 12.5.2 12.3.2 12.3.2
vesteinn/DanskBERT 124 50 512 True 15,749 ± 2,665 / 4,014 ± 1,281 3.37 65.29 ± 1.46 / 60.81 ± 1.38 -0.03 ± 1.72 / 42.37 ± 4.10 10.49 ± 2.71 / 26.84 ± 3.93 0.0.0 0.0.0 0.0.0
KBLab/megatron-bert-large-swedish-cased-165k 369 64 512 True 7,138 ± 1,111 / 2,067 ± 660 3.38 63.35 ± 1.41 / 66.01 ± 1.32 4.94 ± 2.20 / 46.79 ± 2.19 7.02 ± 0.72 / 34.05 ± 1.35 0.0.0 0.0.0 0.0.0
sentence-transformers/paraphrase-xlm-r-multilingual-v1 278 250 512 True 20,154 ± 4,438 / 3,890 ± 1,256 3.39 65.15 ± 1.02 / 67.50 ± 0.90 1.15 ± 1.57 / 49.60 ± 0.88 9.56 ± 0.42 / 27.88 ± 0.44 12.6.1 12.6.1 12.6.1
AI-Nordics/bert-large-swedish-cased 334 31 512 True 7,199 ± 1,139 / 2,051 ± 651 3.40 61.64 ± 1.20 / 63.94 ± 1.20 3.26 ± 2.26 / 48.60 ± 1.54 7.79 ± 0.49 / 35.42 ± 0.60 12.7.0 12.7.0 12.7.0
KBLab/megatron-bert-large-swedish-cased-110k 369 64 512 True 7,075 ± 1,093 / 2,057 ± 661 3.40 63.11 ± 1.31 / 65.36 ± 1.28 3.47 ± 1.38 / 48.04 ± 2.34 7.76 ± 0.57 / 36.28 ± 1.35 0.0.0 0.0.0 0.0.0
KBLab/megatron-bert-base-swedish-cased-600k 135 64 512 True 15,726 ± 2,508 / 4,234 ± 1,365 3.41 63.43 ± 1.03 / 65.68 ± 0.99 2.56 ± 2.70 / 48.75 ± 2.46 7.00 ± 0.68 / 33.28 ± 1.36 12.7.0 12.7.0 12.7.0
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 3.41 40.08 ± 2.82 / 37.15 ± 4.07 1.59 ± 1.86 / 39.93 ± 4.19 15.98 ± 3.74 / 39.67 ± 3.36 12.5.2 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) 20918 64 2048 True 1,831 ± 587 / 268 ± 90 3.43 21.20 ± 1.45 / 19.22 ± 1.47 1.95 ± 1.01 / 35.16 ± 0.86 24.95 ± 3.00 / 53.88 ± 1.93 9.3.1 9.3.1 9.3.1
KBLab/megatron-bert-base-swedish-cased-125k 135 64 512 True 15,763 ± 2,523 / 4,238 ± 1,370 3.43 62.52 ± 0.91 / 65.01 ± 0.92 3.07 ± 2.59 / 49.75 ± 1.88 6.66 ± 0.62 / 31.00 ± 0.71 12.7.0 12.7.0 12.7.0
sentence-transformers/stsb-xlm-r-multilingual 277 250 512 True 15,040 ± 2,953 / 3,417 ± 1,100 3.43 66.23 ± 1.24 / 67.76 ± 1.08 0.04 ± 0.78 / 45.96 ± 2.83 10.04 ± 0.99 / 28.66 ± 0.92 0.0.0 0.0.0 0.0.0
flax-community/nordic-roberta-wiki 124 50 512 True 16,227 ± 2,650 / 4,252 ± 1,393 3.44 63.31 ± 1.41 / 65.79 ± 1.41 2.47 ± 1.56 / 49.04 ± 2.54 5.99 ± 0.66 / 25.32 ± 0.78 0.0.0 0.0.0 0.0.0
DeepPavlov/rubert-base-cased 177 120 512 True 15,785 ± 2,658 / 3,983 ± 1,289 3.46 61.95 ± 1.77 / 57.52 ± 1.81 2.40 ± 1.34 / 43.49 ± 3.76 6.04 ± 0.56 / 29.39 ± 0.76 0.0.0 0.0.0 0.0.0
LumiOpen/Viking-7B (few-shot) 7550 131 4096 True 4,969 ± 1,109 / 1,134 ± 374 3.47 21.41 ± 5.01 / 19.94 ± 5.01 1.76 ± 1.62 / 42.86 ± 2.68 22.54 ± 1.74 / 44.93 ± 1.92 12.7.0 12.7.0 12.7.0
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 3.47 41.10 ± 3.35 / 40.54 ± 3.19 -1.07 ± 2.09 / 44.83 ± 2.20 16.13 ± 2.52 / 39.51 ± 1.98 9.3.1 9.3.1 12.4.0
Geotrend/distilbert-base-25lang-cased 109 85 512 True 26,099 ± 5,881 / 5,178 ± 1,665 3.50 65.76 ± 0.98 / 68.15 ± 0.89 2.08 ± 1.89 / 48.68 ± 2.96 6.81 ± 0.33 / 30.96 ± 0.65 12.6.1 12.6.1 12.6.1
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 3.50 34.62 ± 4.64 / 33.25 ± 4.37 -0.24 ± 1.43 / 33.75 ± 0.31 18.10 ± 1.85 / 43.52 ± 0.87 12.5.2 12.3.2 12.3.2
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 3.50 36.04 ± 2.59 / 24.74 ± 2.79 -0.36 ± 1.36 / 33.94 ± 0.32 18.06 ± 3.16 / 42.57 ± 2.89 9.3.1 9.3.1 12.4.0
sentence-transformers/quora-distilbert-multilingual 135 120 512 True 26,458 ± 5,992 / 5,274 ± 1,731 3.52 63.36 ± 0.96 / 65.24 ± 0.77 1.02 ± 0.94 / 47.05 ± 2.13 6.48 ± 0.37 / 27.44 ± 0.44 0.0.0 0.0.0 0.0.0
3ebdola/Dialectal-Arabic-XLM-R-Base 277 250 512 True 12,783 ± 2,537 / 2,712 ± 885 3.53 46.95 ± 2.05 / 50.04 ± 1.99 1.40 ± 1.40 / 48.02 ± 2.05 10.48 ± 1.75 / 28.80 ± 1.59 12.6.1 12.6.1 12.6.1
LumiOpen/Viking-13B (few-shot) 14030 131 4224 True 3,530 ± 748 / 829 ± 277 3.53 20.51 ± 3.13 / 20.32 ± 2.89 1.12 ± 1.87 / 46.10 ± 3.55 21.85 ± 3.13 / 45.40 ± 2.16 12.5.2 12.5.2 12.5.2
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 3.53 32.71 ± 2.77 / 32.17 ± 2.13 0.66 ± 1.75 / 40.36 ± 4.19 18.04 ± 4.05 / 41.40 ± 3.27 9.2.0 9.2.0 12.5.1
KennethEnevoldsen/dfm-sentence-encoder-large-1 354 50 512 True 6,245 ± 1,260 / 1,416 ± 453 3.54 48.31 ± 1.22 / 47.65 ± 1.19 3.18 ± 1.21 / 46.35 ± 3.68 7.94 ± 0.81 / 36.61 ± 1.41 0.0.0 0.0.0 0.0.0
KBLab/bert-base-swedish-cased-new 135 64 512 True 15,933 ± 2,541 / 4,289 ± 1,376 3.55 64.61 ± 1.04 / 67.19 ± 0.98 1.15 ± 1.59 / 45.33 ± 3.42 5.29 ± 0.80 / 26.53 ± 1.40 12.7.0 12.7.0 12.7.0
norallm/normistral-7b-warm-instruct (few-shot) 7248 33 4096 True 6,194 ± 949 / 1,967 ± 619 3.56 36.59 ± 3.56 / 27.50 ± 2.53 0.86 ± 2.41 / 36.44 ± 1.27 14.58 ± 2.13 / 37.44 ± 1.86 12.7.0 12.7.0 12.7.0
FacebookAI/roberta-base 124 50 512 True 13,354 ± 3,334 / 2,451 ± 777 3.57 60.18 ± 3.20 / 55.70 ± 3.19 1.07 ± 1.62 / 42.87 ± 4.48 6.66 ± 0.67 / 32.13 ± 1.93 0.0.0 0.0.0 0.0.0
flax-community/swe-roberta-wiki-oscar 124 50 512 True 15,437 ± 2,628 / 3,834 ± 1,252 3.57 62.23 ± 1.24 / 64.45 ± 1.23 1.45 ± 1.74 / 48.21 ± 1.91 5.52 ± 0.55 / 26.85 ± 1.03 0.0.0 0.0.0 0.0.0
patrickvonplaten/norwegian-roberta-base 124 50 512 True 15,698 ± 2,699 / 3,891 ± 1,278 3.57 60.79 ± 1.66 / 56.41 ± 1.53 1.29 ± 1.37 / 44.71 ± 3.00 6.64 ± 0.72 / 26.52 ± 0.97 0.0.0 0.0.0 0.0.0
Geotrend/distilbert-base-en-no-cased 69 33 512 True 26,597 ± 6,036 / 5,271 ± 1,697 3.58 63.84 ± 1.42 / 66.44 ± 1.31 2.15 ± 1.73 / 50.19 ± 1.04 5.23 ± 0.36 / 28.73 ± 0.75 12.7.0 12.7.0 12.7.0
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 3.58 27.22 ± 3.65 / 24.21 ± 2.67 1.31 ± 1.28 / 39.67 ± 4.39 17.24 ± 2.72 / 41.15 ± 1.57 12.9.1 12.9.1 12.9.1
sentence-transformers/paraphrase-multilingual-mpnet-base-v2 278 250 512 True 15,100 ± 3,019 / 3,369 ± 1,103 3.58 64.43 ± 1.61 / 66.43 ± 1.37 0.83 ± 1.97 / 48.18 ± 2.18 4.66 ± 0.45 / 28.89 ± 0.43 12.7.0 12.7.0 12.7.0
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 2,383 ± 451 / 718 ± 221 3.59 19.39 ± 1.31 / 19.04 ± 1.36 0.01 ± 1.49 / 34.61 ± 0.73 20.92 ± 3.41 / 51.75 ± 2.10 12.7.0 12.7.0 12.4.0
danish-foundation-models/encoder-large-v1 354 50 512 True 6,671 ± 1,380 / 1,497 ± 482 3.59 49.68 ± 2.20 / 48.34 ± 1.96 0.33 ± 1.39 / 47.30 ± 2.09 9.30 ± 0.95 / 36.88 ± 0.75 0.0.0 0.0.0 0.0.0
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking 135 120 512 True 33,753 ± 8,349 / 5,937 ± 1,946 3.59 59.15 ± 1.28 / 61.27 ± 1.27 0.80 ± 1.69 / 45.59 ± 3.23 6.14 ± 0.74 / 28.02 ± 0.58 12.6.1 12.6.1 12.6.1
DDSC/roberta-base-danish 125 50 512 True 15,004 ± 2,964 / 3,290 ± 1,092 3.60 59.63 ± 1.40 / 61.65 ± 1.33 1.76 ± 1.23 / 49.36 ± 1.58 5.55 ± 0.70 / 27.22 ± 1.06 0.0.0 0.0.0 0.0.0
KB/bert-base-swedish-cased 124 50 512 True 16,181 ± 2,451 / 4,620 ± 1,507 3.60 60.09 ± 1.69 / 55.62 ± 1.60 1.76 ± 1.61 / 44.34 ± 3.01 5.57 ± 0.78 / 28.89 ± 1.29 0.0.0 0.0.0 0.0.0
dbmdz/bert-medium-historic-multilingual-cased 42 32 512 True 24,291 ± 4,887 / 5,096 ± 1,655 3.62 58.90 ± 1.06 / 62.01 ± 0.98 0.27 ± 1.53 / 43.40 ± 3.00 5.90 ± 0.57 / 27.22 ± 1.18 0.0.0 0.0.0 0.0.0
ltg/norbert3-base 124 50 512 True 11,405 ± 1,970 / 2,856 ± 917 3.62 68.22 ± 1.28 / 70.95 ± 1.02 2.41 ± 1.87 / 45.21 ± 3.51 0.00 ± 0.00 / 0.00 ± 0.00 12.7.0 12.7.0 0.0.0
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 3.63 34.76 ± 4.42 / 23.42 ± 2.33 0.77 ± 1.05 / 39.63 ± 2.41 12.80 ± 2.37 / 30.77 ± 2.12 12.5.2 12.3.2 12.4.0
pdelobelle/robbert-v2-dutch-base 116 40 512 True 15,481 ± 2,820 / 3,708 ± 1,186 3.65 55.54 ± 2.48 / 51.36 ± 2.29 1.06 ± 1.29 / 43.27 ± 3.33 5.42 ± 0.52 / 26.08 ± 0.59 0.0.0 0.0.0 0.0.0
deepset/gbert-base 109 31 512 True 37,268 ± 6,577 / 8,719 ± 2,865 3.66 56.89 ± 1.71 / 52.39 ± 1.71 -0.13 ± 1.55 / 45.48 ± 2.51 6.69 ± 0.63 / 32.15 ± 1.11 0.0.0 0.0.0 0.0.0
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 118 250 512 True 29,201 ± 6,282 / 6,045 ± 2,027 3.66 62.44 ± 1.07 / 64.98 ± 0.92 1.91 ± 1.14 / 46.54 ± 2.46 3.69 ± 0.48 / 27.48 ± 0.49 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) 1445 64 2048 True 4,608 ± 988 / 1,115 ± 354 3.68 1.42 ± 1.60 / 3.11 ± 1.85 0.75 ± 0.73 / 45.87 ± 2.20 23.33 ± 2.22 / 45.28 ± 1.58 12.7.0 12.7.0 12.7.0
DDSC/roberta-base-scandinavian 124 50 512 True 14,491 ± 2,800 / 3,182 ± 1,026 3.68 51.53 ± 10.96 / 53.86 ± 11.50 0.89 ± 1.79 / 47.82 ± 2.03 5.19 ± 0.47 / 27.71 ± 0.76 0.0.0 0.0.0 0.0.0
KBLab/bert-base-swedish-cased 125 50 512 True 16,164 ± 2,392 / 4,574 ± 1,478 3.68 55.25 ± 1.05 / 56.58 ± 1.22 2.19 ± 1.72 / 49.66 ± 1.83 5.14 ± 0.73 / 25.93 ± 0.80 12.7.0 12.7.0 12.7.0
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 3.72 25.65 ± 2.99 / 22.30 ± 2.30 -0.35 ± 2.01 / 44.36 ± 4.13 14.46 ± 2.66 / 32.31 ± 1.66 12.5.2 12.1.0 12.5.2
dbmdz/bert-base-historic-multilingual-cased 111 32 512 True 20,047 ± 4,407 / 3,844 ± 1,259 3.72 56.62 ± 0.57 / 59.34 ± 0.66 -1.21 ± 1.45 / 47.43 ± 1.67 6.01 ± 0.45 / 29.08 ± 1.30 12.6.1 12.6.1 12.6.1
sentence-transformers/distiluse-base-multilingual-cased-v2 135 120 512 True 33,247 ± 8,123 / 6,017 ± 1,977 3.78 48.62 ± 2.65 / 51.75 ± 2.37 2.64 ± 2.11 / 49.47 ± 1.79 1.22 ± 0.49 / 12.16 ± 3.00 12.6.1 12.6.1 12.6.1
sentence-transformers/distiluse-base-multilingual-cased 135 120 512 True 19,206 ± 4,451 / 3,658 ± 1,187 3.78 47.62 ± 2.97 / 50.59 ± 2.81 2.64 ± 2.11 / 49.47 ± 1.79 1.27 ± 0.46 / 12.20 ± 2.90 12.6.1 12.6.1 12.6.1
KBLab/albert-base-swedish-cased-alpha 14 50 512 True 15,925 ± 2,281 / 4,780 ± 1,554 3.79 42.07 ± 2.27 / 43.57 ± 2.15 0.27 ± 2.04 / 48.20 ± 1.32 7.35 ± 0.66 / 20.44 ± 1.46 0.0.0 0.0.0 0.0.0
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.82 8.83 ± 5.85 / 9.93 ± 4.70 0.31 ± 1.95 / 45.42 ± 3.51 16.08 ± 2.91 / 37.41 ± 2.44 12.5.2 12.1.0 12.1.0
EuropeanParliament/EUBERT 94 66 512 True 20,070 ± 3,977 / 4,400 ± 1,435 3.83 29.71 ± 1.94 / 28.69 ± 1.97 2.71 ± 1.10 / 49.68 ± 1.24 6.50 ± 0.42 / 27.51 ± 0.99 12.6.1 12.6.1 12.6.1
dbmdz/bert-tiny-historic-multilingual-cased 5 32 512 True 78,027 ± 15,466 / 17,064 ± 5,335 3.84 43.93 ± 1.57 / 46.59 ± 1.50 0.04 ± 1.75 / 47.53 ± 1.60 6.13 ± 0.63 / 21.73 ± 0.95 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 3.86 17.79 ± 1.18 / 18.12 ± 1.18 0.08 ± 0.15 / 33.73 ± 0.26 15.04 ± 2.53 / 34.77 ± 1.72 12.7.0 12.7.0 12.7.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 3.86 15.66 ± 5.89 / 15.78 ± 3.95 -0.55 ± 1.06 / 39.57 ± 3.61 14.11 ± 3.08 / 34.56 ± 2.38 12.5.2 12.1.0 12.1.0
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) 7242 32 32768 False 5,172 ± 813 / 1,647 ± 518 3.92 24.98 ± 5.71 / 25.35 ± 4.78 1.18 ± 1.09 / 39.01 ± 2.76 8.52 ± 2.30 / 21.32 ± 2.25 12.5.2 12.3.2 12.3.2
TurkuNLP/bert-base-finnish-cased-v1 124 50 512 True 16,701 ± 2,104 / 5,450 ± 1,778 3.93 34.58 ± 2.44 / 32.10 ± 2.20 0.55 ± 1.58 / 46.24 ± 3.27 5.07 ± 0.53 / 24.32 ± 2.07 0.0.0 0.0.0 0.0.0
01-ai/Yi-6B (few-shot) 6061 64 4096 True 6,435 ± 1,316 / 1,632 ± 549 3.95 0.00 ± 0.00 / 0.00 ± 0.00 2.12 ± 1.40 / 38.45 ± 2.47 16.91 ± 2.57 / 40.63 ± 2.83 9.3.2 10.0.0 12.5.1
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.95 20.49 ± 2.30 / 18.33 ± 1.40 -0.01 ± 2.13 / 46.02 ± 2.71 10.95 ± 2.39 / 37.64 ± 0.75 12.5.2 12.1.0 12.4.0
sentence-transformers/distiluse-base-multilingual-cased-v1 135 120 512 True 34,042 ± 8,482 / 5,951 ± 1,950 3.96 45.47 ± 2.05 / 47.67 ± 2.11 1.14 ± 1.81 / 48.47 ± 1.64 1.63 ± 0.33 / 21.45 ± 1.39 12.6.1 12.6.1 12.6.1
Maltehb/aelaectra-danish-electra-small-cased 14 32 512 True 4,593 ± 114 / 3,034 ± 973 3.97 35.72 ± 8.84 / 37.68 ± 9.61 0.55 ± 0.58 / 33.62 ± 0.42 4.40 ± 0.52 / 21.85 ± 0.81 12.7.0 12.7.0 12.7.0
ltg/norbert2 125 50 512 True 15,523 ± 2,863 / 3,690 ± 1,195 4.00 28.74 ± 1.77 / 28.47 ± 1.77 3.00 ± 0.94 / 47.57 ± 3.24 3.47 ± 0.65 / 19.93 ± 2.77 0.0.0 0.0.0 0.0.0
sarnikowski/convbert-medium-small-da-cased 24 29 512 True 13,821 ± 2,209 / 3,547 ± 1,184 4.02 28.16 ± 1.78 / 25.72 ± 1.72 2.05 ± 1.54 / 47.80 ± 2.45 5.37 ± 0.70 / 24.09 ± 1.52 0.0.0 0.0.0 0.0.0
Maltehb/aelaectra-danish-electra-small-uncased 14 32 128 True 5,995 ± 135 / 3,839 ± 1,247 4.06 30.50 ± 1.95 / 30.08 ± 1.90 3.59 ± 1.49 / 46.53 ± 4.34 0.06 ± 0.07 / 0.12 ± 0.11 0.0.0 0.0.0 0.0.0
asafaya/bert-base-arabic 110 32 512 True 16,347 ± 2,191 / 5,125 ± 1,672 4.09 22.51 ± 3.32 / 20.42 ± 3.17 0.23 ± 1.20 / 43.22 ± 3.41 5.05 ± 0.67 / 24.09 ± 1.66 0.0.0 0.0.0 0.0.0
sarnikowski/convbert-small-da-cased 13 29 512 True 14,273 ± 2,312 / 3,555 ± 1,187 4.09 25.49 ± 2.22 / 23.07 ± 2.05 1.63 ± 1.91 / 45.09 ± 3.87 5.28 ± 0.62 / 22.50 ± 0.83 0.0.0 0.0.0 0.0.0
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 4.13 14.15 ± 1.92 / 14.96 ± 2.11 0.78 ± 1.70 / 44.74 ± 3.57 7.80 ± 1.32 / 23.47 ± 1.64 12.5.2 12.1.0 12.5.0
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2176 True 5,484 ± 1,125 / 1,317 ± 425 4.16 9.04 ± 5.36 / 9.25 ± 4.70 -0.08 ± 1.02 / 34.02 ± 0.68 8.86 ± 2.70 / 27.28 ± 1.45 12.5.2 12.5.2 12.5.2
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 4.18 12.26 ± 4.13 / 12.77 ± 3.60 0.94 ± 1.34 / 40.66 ± 3.73 6.31 ± 1.01 / 20.24 ± 2.02 12.5.2 12.1.0 12.1.0
danish-foundation-models/encoder-small-v1 22 96 128 True 6,002 ± 129 / 3,832 ± 1,242 4.21 28.99 ± 12.22 / 28.98 ± 12.46 -0.17 ± 1.37 / 38.53 ± 3.43 0.42 ± 0.33 / 1.20 ± 1.50 0.0.0 0.0.0 0.0.0
Maltehb/danish-bert-botxo 110 32 512 True 16,091 ± 2,427 / 4,575 ± 1,485 4.28 12.64 ± 2.49 / 11.10 ± 2.21 0.06 ± 1.76 / 47.57 ± 1.77 4.77 ± 0.39 / 27.98 ± 1.03 0.0.0 0.0.0 0.0.0
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 4.29 16.20 ± 1.52 / 16.96 ± 1.71 -0.57 ± 1.20 / 41.25 ± 3.51 3.31 ± 0.82 / 16.86 ± 2.98 12.5.2 12.1.0 12.1.0
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 512 True 1,373 ± 120 / 709 ± 172 4.32 23.67 ± 5.16 / 23.19 ± 4.37 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 14.61 ± 2.02 12.7.0 12.7.0 12.7.0
allenai/OLMo-7B (few-shot) 6888 50 2176 True 5,403 ± 1,133 / 1,294 ± 423 4.34 8.84 ± 2.72 / 8.59 ± 2.81 -0.38 ± 1.52 / 34.73 ± 1.40 5.08 ± 1.06 / 18.85 ± 2.62 12.5.2 12.5.2 12.5.2
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 4.35 9.50 ± 3.17 / 9.41 ± 3.40 1.76 ± 1.62 / 38.51 ± 3.72 3.14 ± 0.71 / 17.84 ± 2.26 12.5.2 12.1.0 12.5.0
alexanderfalk/danbert-small-cased 83 52 512 True 30,013 ± 4,309 / 8,840 ± 2,859 4.37 12.39 ± 2.20 / 11.68 ± 2.17 1.63 ± 1.66 / 43.64 ± 4.69 1.70 ± 0.45 / 16.29 ± 1.59 0.0.0 0.0.0 0.0.0
fresh-xlm-roberta-base 277 250 512 True 2,214 ± 94 / 1,494 ± 229 4.39 17.34 ± 1.13 / 16.43 ± 1.26 -0.06 ± 0.99 / 36.73 ± 3.00 1.02 ± 0.30 / 21.61 ± 1.10 0.0.0 0.0.0 0.0.0
allenai/OLMo-1B (few-shot) 1177 50 2176 True 8,536 ± 1,926 / 1,940 ± 619 4.43 13.60 ± 2.38 / 14.36 ± 2.36 -1.04 ± 0.90 / 34.46 ± 1.41 1.51 ± 0.68 / 13.16 ± 3.12 12.5.2 12.1.0 12.1.0
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.47 9.48 ± 1.48 / 10.10 ± 1.44 0.07 ± 1.06 / 43.54 ± 3.63 1.04 ± 0.96 / 7.35 ± 3.52 9.3.1 9.3.1 12.5.2
fresh-electra-small 13 31 512 True 7,840 ± 1,538 / 3,024 ± 438 4.51 9.96 ± 1.11 / 8.96 ± 1.05 -0.10 ± 1.46 / 35.81 ± 3.45 0.12 ± 0.10 / 4.48 ± 1.39 0.0.0 0.0.0 0.0.0
ltg/norbert 112 33 512 True 16,280 ± 2,296 / 4,838 ± 1,583 4.59 0.00 ± 0.00 / 0.00 ± 0.00 -0.03 ± 1.29 / 46.72 ± 2.28 1.68 ± 0.72 / 13.50 ± 4.66 0.0.0 0.0.0 0.0.0
NorGLM/NorGPT-369M (few-shot) unknown 64 1024 True 19,896 ± 5,099 / 3,848 ± 1,251 4.64 1.68 ± 1.40 / 1.54 ± 1.28 -1.38 ± 1.13 / 34.41 ± 2.16 0.08 ± 0.09 / 10.05 ± 2.08 12.5.2 12.5.2 12.5.2
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.66 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 11.90 ± 2.74 9.3.1 9.3.1 9.3.1
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 4.66 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 3.90 ± 0.28 12.5.2 12.5.2 12.5.2
Sigurdur/icechat (few-shot) 110 32 1024 False 49,558 ± 7,930 / 13,921 ± 4,425 4.66 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.64 ± 0.34 12.5.2 12.5.2 12.5.2
Sigurdur/jonas-hallgrimsson-gpt2 (few-shot) 125 51 512 False 32,644 ± 3,887 / 11,289 ± 3,585 4.66 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.00 ± 0.00 12.5.2 12.5.2 12.5.2
Sigurdur/qa-icebreaker (few-shot) 110 32 1024 False 44,889 ± 6,944 / 13,506 ± 4,256 4.66 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 4.86 ± 0.20 12.5.2 12.5.2 12.5.2
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 4.66 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.05 ± 0.03 9.3.1 11.0.0 12.5.1
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