Icelandic NLU 🇮🇸

Last updated: 11/01/2025 11:03:30 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank MIM-GOLD-NER Hotter-and-Colder-sentiment ScaLA-is NQiI MIM-GOLD-NER version Hotter-and-Colder-sentiment version ScaLA-is version NQiI version
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.35 86.37 ± 1.19 / 82.25 ± 2.73 49.59 ± 2.76 / 62.50 ± 2.08 43.03 ± 5.07 / 71.18 ± 2.64 37.26 ± 2.60 / 66.04 ± 1.95 12.5.1 13.2.0 12.10.2 12.5.1
gpt-4o-2024-05-13 (few-shot, val) unknown 200 128000 True 916 ± 329 / 114 ± 38 1.40 81.19 ± 2.45 / 54.02 ± 5.60 49.86 ± 5.14 / 64.51 ± 3.68 51.10 ± 5.09 / 73.25 ± 3.42 29.64 ± 2.12 / 55.46 ± 1.12 12.10.0 13.2.0 12.10.2 12.10.0
microsoft/mdeberta-v3-base 279 251 512 True 20,637 ± 3,925 / 4,497 ± 1,502 1.42 81.12 ± 2.02 / 81.48 ± 1.69 45.30 ± 1.76 / 62.84 ± 1.27 54.11 ± 2.40 / 76.46 ± 1.28 30.93 ± 0.96 / 56.17 ± 1.10 0.0.0 13.3.0 0.0.0 0.0.0
vesteinn/ScandiBERT-no-faroese 124 50 514 True 15,436 ± 2,820 / 3,704 ± 1,187 1.48 83.94 ± 1.34 / 84.66 ± 0.91 48.51 ± 1.41 / 64.68 ± 1.22 58.64 ± 1.69 / 78.30 ± 1.26 25.35 ± 1.34 / 48.61 ± 1.71 0.0.0 13.3.0 0.0.0 0.0.0
gpt-4o-2024-05-13 (zero-shot, val) unknown 200 8191 True 637 ± 306 / 92 ± 31 1.49 72.85 ± 2.10 / 33.36 ± 1.59 53.43 ± 2.20 / 66.07 ± 1.59 49.26 ± 4.89 / 73.99 ± 2.32 27.36 ± 0.94 / 48.73 ± 0.97 14.0.3 14.0.3 14.0.3 14.0.3
vesteinn/XLMR-ENIS 125 50 514 True 10,711 ± 2,333 / 2,141 ± 689 1.52 82.20 ± 1.83 / 82.70 ± 1.41 49.16 ± 1.14 / 65.21 ± 0.70 48.51 ± 5.94 / 71.40 ± 4.38 27.06 ± 1.18 / 51.37 ± 1.42 0.0.0 13.3.0 0.0.0 0.0.0
google/rembert 576 250 512 True 11,736 ± 2,822 / 2,102 ± 677 1.67 78.05 ± 1.72 / 78.74 ± 1.41 36.87 ± 3.38 / 56.59 ± 2.94 48.29 ± 2.59 / 73.54 ± 1.99 29.38 ± 1.81 / 52.42 ± 3.00 0.0.0 13.3.0 0.0.0 0.0.0
mideind/IceBERT-large 406 50 514 True 5,677 ± 719 / 1,886 ± 604 1.73 85.14 ± 1.31 / 84.37 ± 1.00 49.40 ± 1.72 / 65.33 ± 1.43 59.31 ± 2.97 / 78.19 ± 1.97 12.84 ± 1.51 / 49.01 ± 3.34 0.0.0 13.3.0 0.0.0 0.0.0
vesteinn/FoBERT 124 50 514 True 15,623 ± 2,828 / 3,737 ± 1,191 1.77 85.04 ± 0.95 / 80.51 ± 1.10 48.45 ± 1.37 / 64.80 ± 1.08 50.78 ± 2.21 / 73.10 ± 1.10 17.76 ± 2.33 / 36.98 ± 3.29 0.0.0 13.3.0 0.0.0 0.0.0
mideind/IceBERT 163 50 514 True 16,697 ± 2,113 / 5,432 ± 1,749 1.78 85.32 ± 1.11 / 81.56 ± 1.07 47.49 ± 1.24 / 62.98 ± 1.35 60.44 ± 1.93 / 78.11 ± 1.40 13.31 ± 0.95 / 49.21 ± 1.36 0.0.0 13.3.0 0.0.0 0.0.0
claude-3-5-sonnet-20241022 (zero-shot, val) unknown unknown 200000 True 193 ± 87 / 55 ± 19 1.80 61.70 ± 2.37 / 41.44 ± 1.76 51.24 ± 1.69 / 65.49 ± 1.06 52.43 ± 2.29 / 73.78 ± 1.09 22.92 ± 1.06 / 47.06 ± 1.02 14.0.3 14.0.3 14.0.3 14.0.3
mideind/IceBERT-xlmr-ic3 278 250 514 True 11,004 ± 2,244 / 2,324 ± 761 1.83 84.35 ± 1.14 / 85.07 ± 1.09 48.85 ± 1.16 / 65.09 ± 0.94 59.12 ± 1.94 / 78.14 ± 1.24 11.18 ± 1.04 / 44.02 ± 2.30 0.0.0 13.3.0 0.0.0 0.0.0
vesteinn/IceBERT 163 50 514 True 12,360 ± 1,611 / 3,858 ± 1,246 1.85 85.34 ± 0.66 / 84.80 ± 0.60 47.37 ± 1.10 / 62.42 ± 1.46 55.88 ± 2.20 / 74.91 ± 1.96 13.31 ± 0.95 / 49.21 ± 1.36 0.0.0 13.3.0 0.0.0 0.0.0
gpt-4o-mini-2024-07-18 (few-shot, val) unknown 200 8191 True 784 ± 310 / 95 ± 28 1.92 64.69 ± 1.77 / 37.89 ± 3.23 56.18 ± 4.37 / 69.53 ± 2.97 45.52 ± 4.15 / 71.51 ± 2.48 15.80 ± 6.24 / 55.19 ± 4.14 14.0.0 14.0.0 14.0.0 14.0.0
meta-llama/Llama-3.1-405B-Instruct-FP8 (few-shot) 405869 128 131072 True 799 ± 246 / 112 ± 38 1.95 66.40 ± 3.96 / 65.04 ± 4.36 53.84 ± 1.13 / 67.24 ± 1.23 26.22 ± 2.28 / 57.33 ± 2.21 26.49 ± 1.58 / 54.41 ± 1.48 14.0.4 14.0.4 14.0.4 14.0.4
meta-llama/Llama-3.1-70B-Instruct (few-shot) 70554 128 131072 True 1,409 ± 457 / 186 ± 63 1.99 69.95 ± 2.18 / 42.88 ± 4.51 51.27 ± 1.19 / 63.66 ± 1.02 18.75 ± 1.65 / 55.50 ± 0.89 30.79 ± 1.22 / 56.29 ± 1.87 14.0.3 14.0.3 14.0.3 14.0.3
mideind/IceBERT-ic3 124 50 514 True 12,119 ± 1,576 / 3,812 ± 1,242 2.00 85.03 ± 0.86 / 85.01 ± 0.93 49.34 ± 1.67 / 64.95 ± 1.33 45.06 ± 11.13 / 67.74 ± 7.92 10.82 ± 1.12 / 42.82 ± 2.91 0.0.0 13.3.0 0.0.0 0.0.0
mideind/IceBERT-igc 124 50 514 True 12,551 ± 1,656 / 3,918 ± 1,274 2.03 79.85 ± 0.94 / 79.32 ± 0.74 46.25 ± 1.38 / 63.13 ± 0.89 54.38 ± 3.78 / 75.08 ± 2.62 9.91 ± 0.65 / 42.34 ± 1.46 0.0.0 13.3.0 0.0.0 0.0.0
gpt-4-1106-preview (zero-shot, val) unknown 100 8191 True 436 ± 152 / 57 ± 21 2.09 30.39 ± 3.49 / 25.88 ± 1.98 47.47 ± 3.03 / 63.45 ± 2.13 43.30 ± 3.41 / 71.54 ± 1.71 29.82 ± 1.09 / 51.48 ± 0.89 14.0.3 14.0.3 14.0.3 14.0.3
NbAiLab/nb-roberta-base-scandi-1e4 278 250 514 True 15,074 ± 2,990 / 3,347 ± 1,080 2.12 81.83 ± 1.65 / 82.24 ± 1.04 48.91 ± 0.82 / 64.49 ± 1.04 51.09 ± 3.83 / 73.24 ± 2.23 6.66 ± 0.69 / 33.95 ± 0.75 0.0.0 13.3.0 0.0.0 0.0.0
sentence-transformers/use-cmlm-multilingual 472 501 512 True 30,231 ± 8,171 / 4,863 ± 1,598 2.12 80.91 ± 1.24 / 81.30 ± 0.97 45.46 ± 1.42 / 62.76 ± 1.06 41.91 ± 3.45 / 67.96 ± 2.53 13.73 ± 0.73 / 52.73 ± 0.85 0.0.0 13.3.0 0.0.0 0.0.0
Qwen/QwQ-32B-Preview (few-shot) 32764 152 32768 True 2,258 ± 1,221 / 198 ± 67 2.13 65.08 ± 2.06 / 46.62 ± 5.37 48.71 ± 1.27 / 63.98 ± 0.90 20.51 ± 2.32 / 57.54 ± 3.00 28.29 ± 1.69 / 58.94 ± 2.10 14.0.4 14.0.4 14.0.4 14.0.4
Qwen/Qwen2.5-72B-Instruct (few-shot) 72706 152 32768 True 1,219 ± 412 / 158 ± 53 2.15 68.54 ± 1.33 / 42.62 ± 3.69 47.72 ± 1.58 / 64.00 ± 1.39 22.98 ± 1.57 / 61.08 ± 0.91 26.72 ± 1.78 / 55.63 ± 0.93 14.0.4 14.0.4 14.0.4 14.0.4
setu4993/LaBSE 471 501 512 True 25,418 ± 6,435 / 4,536 ± 1,452 2.15 80.45 ± 1.29 / 81.01 ± 1.16 46.40 ± 1.18 / 63.25 ± 0.79 36.92 ± 7.62 / 66.07 ± 3.89 11.75 ± 0.66 / 46.17 ± 1.42 0.0.0 13.3.0 0.0.0 0.0.0
meta-llama/Llama-3.3-70B-Instruct (few-shot) 70554 128 131072 True 1,353 ± 443 / 180 ± 61 2.17 69.04 ± 1.73 / 41.91 ± 4.10 50.79 ± 1.13 / 62.68 ± 1.21 20.36 ± 1.78 / 55.23 ± 2.44 24.56 ± 1.12 / 49.35 ± 1.46 14.0.3 14.0.3 14.0.3 14.0.3
jonfd/electra-small-nordic 22 96 512 True 5,989 ± 120 / 3,809 ± 1,230 2.18 77.40 ± 0.48 / 78.58 ± 0.56 39.05 ± 0.81 / 48.07 ± 0.74 60.64 ± 1.44 / 79.20 ± 1.14 6.51 ± 1.69 / 22.61 ± 5.24 0.0.0 13.3.0 0.0.0 0.0.0
pere/roberta-base-exp-8 278 250 514 True 15,112 ± 2,969 / 3,347 ± 1,093 2.20 78.58 ± 1.77 / 79.77 ± 1.32 46.87 ± 1.85 / 63.83 ± 1.35 47.36 ± 9.50 / 71.21 ± 5.03 7.68 ± 0.84 / 33.05 ± 0.90 0.0.0 13.3.0 0.0.0 0.0.0
mgoin/Nemotron-4-340B-Instruct-hf-FP8 (few-shot) 341029 256 4096 True 1,904 ± 475 / 361 ± 121 2.25 37.98 ± 7.26 / 24.63 ± 3.82 47.34 ± 5.45 / 63.42 ± 4.34 50.14 ± 6.12 / 73.44 ± 4.16 16.27 ± 1.26 / 41.01 ± 2.32 14.0.4 14.0.4 14.0.4 14.0.4
gpt-4o-mini-2024-07-18 (zero-shot, val) unknown 200 8191 True 908 ± 303 / 96 ± 36 2.30 31.11 ± 2.16 / 14.28 ± 0.85 50.02 ± 2.61 / 65.44 ± 1.86 35.85 ± 1.55 / 66.14 ± 0.82 26.93 ± 1.10 / 49.25 ± 1.18 14.0.1 14.0.1 14.0.1 14.0.1
FacebookAI/xlm-roberta-large 561 250 514 True 17,897 ± 3,921 / 3,463 ± 1,141 2.31 82.83 ± 1.09 / 83.16 ± 1.02 48.41 ± 6.83 / 64.09 ± 6.26 22.78 ± 12.25 / 57.07 ± 8.18 15.72 ± 1.39 / 55.29 ± 1.30 0.0.0 13.3.0 0.0.0 0.0.0
ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot) 28411 256 4096 True 3,633 ± 1,236 / 777 ± 220 2.32 67.23 ± 2.77 / 45.61 ± 4.86 50.38 ± 1.18 / 66.21 ± 1.00 20.01 ± 1.09 / 59.74 ± 0.60 21.18 ± 1.67 / 49.26 ± 0.93 14.0.4 14.0.4 14.0.4 14.0.4
nvidia/mistral-nemo-minitron-8b-base (few-shot) 8414 131 8192 True 2,470 ± 836 / 326 ± 111 2.41 53.28 ± 3.54 / 39.35 ± 3.78 41.80 ± 1.57 / 59.81 ± 1.60 11.07 ± 2.40 / 51.96 ± 2.62 29.74 ± 1.76 / 56.76 ± 2.14 14.1.1 14.1.1 14.1.1 14.1.1
pere/roberta-base-exp-32 278 250 514 True 15,081 ± 2,950 / 3,365 ± 1,092 2.42 83.57 ± 0.96 / 83.52 ± 0.76 48.56 ± 1.98 / 64.74 ± 1.60 23.07 ± 13.28 / 57.26 ± 6.91 7.81 ± 1.01 / 34.12 ± 1.47 0.0.0 13.3.0 0.0.0 0.0.0
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (few-shot) 70554 128 131072 True 1,208 ± 412 / 156 ± 53 2.45 54.15 ± 2.09 / 23.38 ± 1.16 51.96 ± 0.95 / 65.42 ± 0.94 19.63 ± 1.76 / 56.76 ± 1.54 21.22 ± 0.69 / 49.57 ± 0.98 14.0.4 14.0.4 14.0.4 14.0.4
CohereForAI/c4ai-command-r-08-2024 (few-shot) 32296 256 131072 False 1,909 ± 646 / 248 ± 84 2.46 62.68 ± 1.93 / 42.03 ± 4.30 31.96 ± 2.37 / 51.22 ± 2.00 11.81 ± 0.99 / 49.24 ± 2.30 30.49 ± 1.20 / 56.00 ± 1.68 14.0.4 14.0.4 14.0.4 14.0.4
mistralai/Mixtral-8x7B-v0.1 (few-shot) 46703 32 32768 True 2,363 ± 794 / 311 ± 105 2.46 55.09 ± 2.15 / 38.38 ± 3.92 39.60 ± 2.22 / 53.52 ± 3.54 8.23 ± 1.55 / 49.15 ± 2.76 30.78 ± 2.39 / 58.02 ± 1.37 14.0.4 14.0.4 14.0.4 14.0.4
meta-llama/Llama-3.1-8B (few-shot) 8030 128 131072 True 2,986 ± 823 / 276 ± 94 2.48 52.97 ± 1.54 / 38.17 ± 4.65 41.29 ± 2.30 / 59.30 ± 1.75 5.95 ± 2.81 / 40.86 ± 3.68 31.99 ± 2.60 / 60.26 ± 1.51 14.0.0 14.1.2 14.1.2 14.0.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 1,483 ± 377 / 287 ± 97 2.53 60.20 ± 2.76 / 40.38 ± 4.22 38.09 ± 2.38 / 54.51 ± 2.16 9.14 ± 0.98 / 49.56 ± 2.11 28.66 ± 1.28 / 58.93 ± 1.41 14.0.1 14.0.1 14.0.1 14.0.1
intfloat/multilingual-e5-large 560 250 514 True 6,732 ± 1,273 / 1,633 ± 523 2.57 78.43 ± 1.53 / 79.30 ± 1.03 48.52 ± 1.18 / 64.38 ± 1.18 10.78 ± 7.04 / 53.28 ± 3.97 13.79 ± 0.96 / 54.20 ± 1.31 0.0.0 13.3.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 1,477 ± 376 / 285 ± 97 2.58 50.45 ± 1.95 / 37.62 ± 3.95 34.68 ± 3.74 / 53.39 ± 3.75 8.69 ± 2.70 / 44.84 ± 4.03 31.94 ± 2.16 / 59.26 ± 1.50 14.0.1 14.1.2 14.1.2 14.0.1
intfloat/multilingual-e5-large-instruct 560 250 514 True 5,947 ± 1,301 / 1,129 ± 374 2.59 78.32 ± 1.32 / 79.70 ± 1.08 50.10 ± 1.59 / 64.91 ± 2.07 8.11 ± 3.77 / 50.71 ± 3.73 13.93 ± 1.14 / 53.59 ± 1.62 13.0.0 13.3.0 13.0.0 13.0.0
intfloat/multilingual-e5-base 278 250 514 True 14,965 ± 2,890 / 3,322 ± 1,074 2.63 75.46 ± 1.42 / 77.52 ± 0.88 42.08 ± 1.98 / 59.90 ± 1.47 15.21 ± 8.62 / 54.40 ± 5.57 10.82 ± 0.92 / 43.65 ± 2.51 12.6.1 13.3.0 12.6.1 12.6.1
meta-llama/Llama-3.1-8B-Instruct (few-shot) 8030 128 131072 True 1,473 ± 377 / 283 ± 96 2.66 46.48 ± 1.98 / 24.57 ± 1.73 39.91 ± 2.35 / 57.39 ± 1.64 11.72 ± 1.81 / 51.67 ± 1.45 25.91 ± 0.99 / 53.39 ± 1.83 14.0.1 14.0.1 14.0.1 14.0.1
cardiffnlp/twitter-xlm-roberta-base 278 250 514 True 34,475 ± 7,465 / 6,712 ± 2,223 2.72 72.69 ± 0.79 / 73.57 ± 1.02 35.62 ± 1.32 / 55.40 ± 1.15 28.72 ± 5.29 / 60.29 ± 3.57 8.46 ± 0.51 / 31.01 ± 0.72 0.0.0 13.3.0 0.0.0 0.0.0
clips/mfaq 278 250 514 True 5,591 ± 187 / 3,349 ± 1,105 2.85 77.30 ± 1.23 / 78.59 ± 0.96 43.25 ± 1.68 / 61.29 ± 1.56 3.51 ± 2.33 / 47.05 ± 3.38 11.31 ± 0.85 / 43.26 ± 1.64 12.7.0 13.3.0 12.7.0 12.7.0
microsoft/xlm-align-base 278 250 514 True 14,744 ± 2,870 / 3,265 ± 1,053 2.86 78.01 ± 2.18 / 79.20 ± 2.10 38.76 ± 2.04 / 56.09 ± 2.02 5.92 ± 1.91 / 46.95 ± 3.38 10.47 ± 1.42 / 43.32 ± 3.55 0.0.0 13.3.0 0.0.0 0.0.0
mistralai/Ministral-8B-Instruct-2410 (few-shot) 8020 131 32768 True 1,302 ± 323 / 253 ± 86 2.89 47.10 ± 1.90 / 22.63 ± 2.03 24.43 ± 2.98 / 39.27 ± 3.37 7.19 ± 2.76 / 44.62 ± 3.61 28.73 ± 1.45 / 54.38 ± 2.28 14.0.0 14.0.0 14.0.0 14.0.0
mhenrichsen/hestenettetLM (few-shot) 7242 32 4096 True 1,151 ± 294 / 227 ± 76 2.90 50.99 ± 3.49 / 41.71 ± 4.09 24.17 ± 5.04 / 45.19 ± 5.13 1.15 ± 1.86 / 38.83 ± 2.36 27.31 ± 2.99 / 51.45 ± 2.09 14.0.3 14.1.2 14.1.2 14.0.3
ZurichNLP/unsup-simcse-xlm-roberta-base 278 250 514 True 34,520 ± 7,443 / 6,730 ± 2,224 2.93 75.27 ± 1.18 / 76.85 ± 0.94 46.33 ± 1.12 / 62.80 ± 1.39 3.47 ± 1.14 / 47.14 ± 3.33 7.67 ± 0.80 / 32.31 ± 0.81 12.6.1 13.3.0 12.6.1 12.6.1
google-bert/bert-base-multilingual-uncased 168 106 512 True 13,993 ± 3,217 / 2,752 ± 893 2.93 60.88 ± 1.42 / 59.11 ± 1.19 36.04 ± 1.90 / 55.62 ± 1.54 13.50 ± 7.64 / 52.75 ± 5.19 9.65 ± 0.34 / 42.51 ± 1.87 0.0.0 13.3.0 0.0.0 0.0.0
AI-Sweden-Models/roberta-large-1160k 355 50 514 True 14,014 ± 2,384 / 3,625 ± 1,146 2.94 74.30 ± 2.15 / 76.10 ± 2.10 38.53 ± 2.56 / 56.94 ± 2.26 2.06 ± 2.43 / 37.04 ± 4.14 11.47 ± 0.96 / 48.11 ± 0.94 10.0.1 13.3.0 10.0.1 10.0.1
Geotrend/bert-base-da-cased 104 23 512 True 15,432 ± 2,838 / 3,642 ± 1,189 2.94 73.81 ± 0.85 / 75.02 ± 0.89 34.81 ± 1.79 / 54.59 ± 1.41 6.23 ± 2.63 / 45.40 ± 3.87 10.57 ± 1.12 / 42.39 ± 1.52 0.0.0 13.3.0 0.0.0 0.0.0
NorwAI/NorwAI-Mixtral-8x7B-instruct (few-shot) 46998 68 32768 True 9,015 ± 2,966 / 1,121 ± 510 2.94 41.84 ± 3.14 / 24.97 ± 2.44 38.12 ± 1.81 / 54.60 ± 1.56 7.47 ± 1.59 / 45.34 ± 4.68 20.87 ± 2.65 / 52.61 ± 1.29 14.0.4 14.0.4 14.0.4 14.0.4
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 4096 True 1,446 ± 354 / 295 ± 100 2.94 50.69 ± 3.67 / 41.90 ± 4.06 24.38 ± 5.21 / 44.65 ± 5.83 1.46 ± 1.66 / 38.73 ± 2.27 27.11 ± 3.11 / 51.14 ± 2.22 14.0.3 14.1.2 14.1.2 14.0.3
NorwAI/NorwAI-Mixtral-8x7B (few-shot) 46998 68 32768 True 2,368 ± 793 / 317 ± 108 2.95 36.73 ± 4.50 / 27.29 ± 1.83 34.34 ± 3.99 / 53.29 ± 3.80 6.57 ± 2.18 / 46.35 ± 4.24 22.59 ± 4.98 / 48.68 ± 4.19 14.0.4 14.0.4 14.0.4 14.0.4
Twitter/twhin-bert-base 279 250 512 True 11,514 ± 2,041 / 2,862 ± 918 2.96 70.38 ± 1.44 / 72.00 ± 1.13 40.22 ± 1.03 / 58.56 ± 1.02 11.09 ± 6.94 / 51.60 ± 5.19 7.67 ± 0.74 / 30.52 ± 0.52 12.6.1 13.3.0 12.6.1 12.6.1
Geotrend/bert-base-25lang-cased 151 85 512 True 13,908 ± 3,201 / 2,700 ± 872 3.03 74.65 ± 1.65 / 75.83 ± 1.41 34.09 ± 2.29 / 54.15 ± 1.21 2.89 ± 3.00 / 44.63 ± 4.01 9.29 ± 0.66 / 41.76 ± 1.89 0.0.0 13.3.0 0.0.0 0.0.0
CohereForAI/c4ai-command-r-v01 (few-shot) 34981 256 8192 False 1,919 ± 645 / 248 ± 83 3.05 42.29 ± 2.87 / 27.16 ± 2.06 38.87 ± 2.06 / 54.76 ± 1.96 0.28 ± 1.28 / 44.15 ± 2.34 18.74 ± 3.19 / 49.89 ± 1.52 14.0.4 14.0.4 14.0.4 14.0.4
microsoft/infoxlm-base 278 250 514 True 34,735 ± 7,558 / 6,846 ± 2,312 3.07 77.09 ± 2.00 / 78.38 ± 1.60 33.14 ± 4.05 / 51.83 ± 3.29 1.71 ± 3.02 / 42.83 ± 4.18 8.56 ± 1.96 / 37.41 ± 5.69 0.0.0 13.3.0 0.0.0 0.0.0
mistralai/Mistral-7B-v0.3 (few-shot) 7248 33 32768 True 1,364 ± 343 / 266 ± 90 3.07 46.73 ± 3.51 / 38.01 ± 4.18 26.28 ± 4.82 / 46.42 ± 4.24 1.50 ± 1.18 / 36.24 ± 1.65 25.17 ± 3.82 / 50.14 ± 2.43 14.0.3 14.1.2 14.1.2 14.0.3
KennethEnevoldsen/dfm-sentence-encoder-medium 124 50 514 True 14,998 ± 2,549 / 3,833 ± 1,223 3.08 64.88 ± 1.32 / 67.55 ± 1.07 36.18 ± 1.15 / 56.11 ± 1.15 -0.60 ± 0.90 / 40.52 ± 3.55 12.39 ± 1.75 / 29.86 ± 2.90 0.0.0 13.3.0 0.0.0 0.0.0
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 4096 False 4,136 ± 1,282 / 668 ± 326 3.09 42.23 ± 4.22 / 25.96 ± 4.27 27.93 ± 2.80 / 48.93 ± 1.43 6.38 ± 0.99 / 49.63 ± 1.47 19.39 ± 3.38 / 53.87 ± 1.59 14.0.3 14.0.3 14.0.3 14.0.3
sentence-transformers/stsb-xlm-r-multilingual 278 250 514 True 15,040 ± 2,953 / 3,417 ± 1,100 3.09 66.23 ± 1.24 / 67.76 ± 1.08 37.79 ± 2.49 / 56.10 ± 1.91 0.04 ± 0.78 / 45.96 ± 2.83 10.04 ± 0.99 / 28.66 ± 0.92 0.0.0 13.3.0 0.0.0 0.0.0
mideind/IceBERT-mC4-is 163 50 514 True 12,308 ± 1,614 / 3,851 ± 1,254 3.12 79.19 ± 0.96 / 80.35 ± 0.69 24.55 ± 10.51 / 37.82 ± 9.21 20.95 ± 5.57 / 50.96 ± 5.04 0.00 ± 0.00 / 0.00 ± 0.00 0.0.0 13.3.0 0.0.0 0.0.0
NbAiLab/nb-roberta-base-scandinavian 125 50 514 True 14,051 ± 3,289 / 2,704 ± 897 3.14 69.04 ± 1.65 / 71.18 ± 1.15 35.21 ± 1.32 / 53.92 ± 1.75 3.34 ± 1.87 / 44.43 ± 4.20 7.17 ± 0.77 / 30.71 ± 1.15 0.0.0 13.3.0 0.0.0 0.0.0
Twitter/twhin-bert-large 562 250 512 True 9,707 ± 1,664 / 2,549 ± 831 3.14 71.48 ± 1.97 / 73.71 ± 1.37 32.07 ± 2.95 / 50.25 ± 3.47 2.20 ± 2.00 / 43.42 ± 4.87 8.19 ± 0.76 / 33.02 ± 1.85 0.0.0 13.3.0 0.0.0 0.0.0
LumiOpen/Viking-7B (few-shot) 7550 131 4096 True 1,431 ± 352 / 287 ± 97 3.15 33.21 ± 3.20 / 25.94 ± 2.59 25.50 ± 6.42 / 38.95 ± 8.69 -0.08 ± 1.20 / 39.03 ± 2.81 25.76 ± 3.16 / 48.38 ± 2.42 14.0.3 14.1.2 14.1.2 14.0.3
NbAiLab/nb-sbert-base 178 120 512 True 17,757 ± 3,883 / 3,864 ± 1,237 3.16 69.89 ± 1.31 / 72.29 ± 1.08 36.03 ± 1.02 / 54.66 ± 1.26 2.20 ± 2.16 / 43.99 ± 4.02 6.45 ± 0.85 / 30.59 ± 1.95 12.10.5 13.3.0 12.10.5 12.10.5
mistralai/Mixtral-8x7B-Instruct-v0.1 (few-shot) 46703 32 32768 True 5,535 ± 1,837 / 760 ± 256 3.17 35.00 ± 3.16 / 20.45 ± 2.42 23.93 ± 4.28 / 46.14 ± 3.72 9.69 ± 1.44 / 52.07 ± 1.78 21.38 ± 2.08 / 53.35 ± 1.40 14.0.4 14.0.4 14.0.4 14.0.4
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 1,473 ± 493 / 448 ± 143 3.18 19.41 ± 1.02 / 18.58 ± 0.98 44.79 ± 1.30 / 61.83 ± 1.22 1.93 ± 1.59 / 35.05 ± 1.59 21.13 ± 3.56 / 52.41 ± 1.47 14.0.2 14.0.2 14.0.2 14.0.2
sentence-transformers/paraphrase-xlm-r-multilingual-v1 278 250 514 True 20,154 ± 4,438 / 3,890 ± 1,256 3.19 65.15 ± 1.02 / 67.50 ± 0.90 33.26 ± 1.68 / 52.59 ± 1.73 1.15 ± 1.57 / 49.60 ± 0.88 9.56 ± 0.42 / 27.88 ± 0.44 12.6.1 13.3.0 12.6.1 12.6.1
senseable/WestLake-7B-v2 (few-shot) 7242 32 4096 False 5,993 ± 1,028 / 1,742 ± 561 3.20 56.71 ± 1.98 / 46.71 ± 5.28 7.92 ± 3.63 / 32.79 ± 2.05 3.44 ± 2.02 / 50.18 ± 1.14 21.55 ± 2.79 / 54.79 ± 2.02 12.6.1 13.3.0 12.6.1 12.6.1
KBLab/megatron-bert-large-swedish-cased-165k 370 64 512 True 7,138 ± 1,111 / 2,067 ± 660 3.21 63.35 ± 1.41 / 66.01 ± 1.32 33.92 ± 1.56 / 53.84 ± 1.70 4.94 ± 2.20 / 46.79 ± 2.19 7.02 ± 0.72 / 34.05 ± 1.35 0.0.0 13.3.0 0.0.0 0.0.0
AI-Nordics/bert-large-swedish-cased 335 31 512 True 7,199 ± 1,139 / 2,051 ± 651 3.22 61.64 ± 1.20 / 63.94 ± 1.20 34.76 ± 1.71 / 54.95 ± 1.03 3.26 ± 2.26 / 48.60 ± 1.54 7.79 ± 0.49 / 35.42 ± 0.60 12.7.0 13.3.0 12.7.0 12.7.0
CohereForAI/aya-expanse-8b (few-shot) 8028 256 8192 False 2,686 ± 685 / 491 ± 164 3.22 28.98 ± 2.63 / 21.75 ± 1.89 19.83 ± 4.76 / 41.64 ± 3.64 4.93 ± 1.06 / 49.69 ± 2.65 24.72 ± 2.22 / 54.41 ± 1.43 13.0.0 13.3.0 13.0.0 13.0.0
KBLab/megatron-bert-base-swedish-cased-600k 135 64 512 True 15,726 ± 2,508 / 4,234 ± 1,365 3.22 63.43 ± 1.03 / 65.68 ± 0.99 36.11 ± 1.84 / 55.98 ± 1.67 2.56 ± 2.70 / 48.75 ± 2.46 7.00 ± 0.68 / 33.28 ± 1.36 12.7.0 13.3.0 12.7.0 12.7.0
KBLab/megatron-bert-base-swedish-cased-125k 135 64 512 True 15,763 ± 2,523 / 4,238 ± 1,370 3.24 62.52 ± 0.91 / 65.01 ± 0.92 34.19 ± 1.51 / 54.86 ± 1.03 3.07 ± 2.59 / 49.75 ± 1.88 6.66 ± 0.62 / 31.00 ± 0.71 12.7.0 13.3.0 12.7.0 12.7.0
vesteinn/DanskBERT 125 50 514 True 15,749 ± 2,665 / 4,014 ± 1,281 3.24 65.29 ± 1.46 / 60.81 ± 1.38 27.24 ± 1.85 / 46.85 ± 1.76 -0.03 ± 1.72 / 42.37 ± 4.10 10.49 ± 2.71 / 26.84 ± 3.93 0.0.0 13.3.0 0.0.0 0.0.0
meta-llama/Llama-3.2-3B (few-shot) 3213 128 131072 True 3,713 ± 877 / 836 ± 267 3.25 42.04 ± 3.53 / 25.31 ± 1.59 14.53 ± 4.72 / 32.88 ± 5.49 0.00 ± 0.00 / 32.97 ± 0.29 24.07 ± 4.63 / 49.31 ± 4.59 13.0.0 14.1.2 13.0.0 13.0.0
sentence-transformers/paraphrase-multilingual-mpnet-base-v2 278 250 514 True 15,100 ± 3,019 / 3,369 ± 1,103 3.26 64.43 ± 1.61 / 66.43 ± 1.37 37.54 ± 1.67 / 56.15 ± 2.53 0.83 ± 1.97 / 48.18 ± 2.18 4.66 ± 0.45 / 28.89 ± 0.43 12.7.0 13.3.0 12.7.0 12.7.0
KBLab/bert-base-swedish-cased-new 135 64 512 True 15,933 ± 2,541 / 4,289 ± 1,376 3.27 64.61 ± 1.04 / 67.19 ± 0.98 36.40 ± 2.24 / 56.20 ± 1.51 1.15 ± 1.59 / 45.33 ± 3.42 5.29 ± 0.80 / 26.53 ± 1.40 12.7.0 13.3.0 12.7.0 12.7.0
Mabeck/Heidrun-Mistral-7B-chat (few-shot) 7242 32 4096 False 1,419 ± 349 / 286 ± 97 3.27 44.84 ± 2.18 / 35.67 ± 3.27 16.41 ± 4.51 / 27.96 ± 3.89 0.44 ± 0.57 / 33.88 ± 0.32 22.77 ± 3.45 / 47.44 ± 2.15 12.7.0 13.3.0 12.7.0 12.7.0
Geotrend/distilbert-base-25lang-cased 109 85 512 True 26,099 ± 5,881 / 5,178 ± 1,665 3.28 65.76 ± 0.98 / 68.15 ± 0.89 29.56 ± 1.49 / 50.69 ± 1.62 2.08 ± 1.89 / 48.68 ± 2.96 6.81 ± 0.33 / 30.96 ± 0.65 12.6.1 13.3.0 12.6.1 12.6.1
HPLT/gpt-7b-nordic-prerelease (few-shot) 7550 131 4096 True 1,382 ± 337 / 257 ± 91 3.29 29.67 ± 3.72 / 27.17 ± 3.34 26.31 ± 7.12 / 39.72 ± 8.86 -0.03 ± 1.37 / 36.71 ± 1.69 21.77 ± 2.71 / 44.31 ± 1.72 14.0.3 14.1.2 14.1.2 14.0.3
sentence-transformers/quora-distilbert-multilingual 135 120 512 True 26,458 ± 5,992 / 5,274 ± 1,731 3.29 63.36 ± 0.96 / 65.24 ± 0.77 33.10 ± 1.86 / 52.77 ± 1.64 1.02 ± 0.94 / 47.05 ± 2.13 6.48 ± 0.37 / 27.44 ± 0.44 0.0.0 13.3.0 0.0.0 0.0.0
flax-community/nordic-roberta-wiki 125 50 514 True 16,227 ± 2,650 / 4,252 ± 1,393 3.32 63.31 ± 1.41 / 65.79 ± 1.41 29.11 ± 1.91 / 49.76 ± 1.38 2.47 ± 1.56 / 49.04 ± 2.54 5.99 ± 0.66 / 25.32 ± 0.78 0.0.0 13.3.0 0.0.0 0.0.0
DeepPavlov/rubert-base-cased 178 120 512 True 15,785 ± 2,658 / 3,983 ± 1,289 3.34 61.95 ± 1.77 / 57.52 ± 1.81 29.51 ± 2.93 / 48.85 ± 3.29 2.40 ± 1.34 / 43.49 ± 3.76 6.04 ± 0.56 / 29.39 ± 0.76 0.0.0 13.3.0 0.0.0 0.0.0
claude-3-5-haiku-20241022 (zero-shot, val) unknown unknown 200000 True 277 ± 77 / 70 ± 25 3.34 34.99 ± 2.03 / 17.39 ± 1.24 31.19 ± 1.29 / 43.32 ± 1.05 -10.68 ± 2.75 / 33.95 ± 1.08 23.65 ± 1.16 / 46.35 ± 1.25 14.0.3 14.0.2 14.0.3 14.0.3
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking 135 120 512 True 33,753 ± 8,349 / 5,937 ± 1,946 3.34 59.15 ± 1.28 / 61.27 ± 1.27 33.10 ± 1.86 / 52.77 ± 1.64 0.80 ± 1.69 / 45.59 ± 3.23 6.14 ± 0.74 / 28.02 ± 0.58 12.6.1 13.3.0 12.6.1 12.6.1
Geotrend/distilbert-base-en-no-cased 69 33 512 True 26,597 ± 6,036 / 5,271 ± 1,697 3.35 63.84 ± 1.42 / 66.44 ± 1.31 29.48 ± 1.58 / 49.66 ± 2.61 2.15 ± 1.73 / 50.19 ± 1.04 5.23 ± 0.36 / 28.73 ± 0.75 12.7.0 13.3.0 12.7.0 12.7.0
NbAiLab/nb-llama-3.1-70B (few-shot) 70554 128 131072 True 1,220 ± 411 / 158 ± 53 3.36 62.28 ± 1.43 / 53.70 ± 3.40 38.08 ± 3.91 / 47.69 ± 4.81 2.85 ± 1.20 / 39.44 ± 3.92 0.86 ± 0.23 / 40.54 ± 1.57 14.0.4 14.0.4 14.0.4 14.0.4
ibm-granite/granite-3.0-8b-instruct (few-shot) 8171 49 4096 True 1,118 ± 302 / 184 ± 63 3.36 42.67 ± 3.13 / 35.40 ± 3.93 9.95 ± 3.78 / 30.20 ± 5.91 1.11 ± 1.45 / 34.61 ± 0.82 22.25 ± 2.78 / 49.58 ± 2.19 13.0.0 13.3.0 13.0.0 13.0.0
KBLab/megatron-bert-large-swedish-cased-110k 370 64 512 True 7,075 ± 1,093 / 2,057 ± 661 3.37 63.11 ± 1.31 / 65.36 ± 1.28 26.38 ± 1.89 / 48.24 ± 1.26 3.47 ± 1.38 / 48.04 ± 2.34 7.76 ± 0.57 / 36.28 ± 1.35 0.0.0 13.3.0 0.0.0 0.0.0
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 4096 False 2,088 ± 352 / 706 ± 214 3.37 40.71 ± 2.93 / 34.57 ± 4.02 14.70 ± 7.78 / 36.09 ± 6.06 0.71 ± 2.00 / 36.90 ± 2.10 20.66 ± 3.67 / 45.91 ± 3.45 12.5.2 13.3.0 12.3.1 12.4.0
ltg/norbert3-base 124 50 512 True 11,405 ± 1,970 / 2,856 ± 917 3.38 68.22 ± 1.28 / 70.95 ± 1.02 34.62 ± 1.98 / 54.10 ± 2.52 2.41 ± 1.87 / 45.21 ± 3.51 0.00 ± 0.00 / 0.00 ± 0.00 12.7.0 13.3.0 12.7.0 0.0.0
DDSC/roberta-base-scandinavian 125 50 514 True 14,491 ± 2,800 / 3,182 ± 1,026 3.40 51.53 ± 10.96 / 53.86 ± 11.50 34.36 ± 2.62 / 54.32 ± 3.58 0.89 ± 1.79 / 47.82 ± 2.03 5.19 ± 0.47 / 27.71 ± 0.76 0.0.0 13.3.0 0.0.0 0.0.0
flax-community/swe-roberta-wiki-oscar 125 50 514 True 15,437 ± 2,628 / 3,834 ± 1,252 3.40 62.23 ± 1.24 / 64.45 ± 1.23 26.59 ± 2.35 / 49.97 ± 1.85 1.45 ± 1.74 / 48.21 ± 1.91 5.52 ± 0.55 / 26.85 ± 1.03 0.0.0 13.3.0 0.0.0 0.0.0
patrickvonplaten/norwegian-roberta-base 125 50 514 True 15,698 ± 2,699 / 3,891 ± 1,278 3.40 60.79 ± 1.66 / 56.41 ± 1.53 26.49 ± 2.95 / 46.31 ± 2.67 1.29 ± 1.37 / 44.71 ± 3.00 6.64 ± 0.72 / 26.52 ± 0.97 0.0.0 13.3.0 0.0.0 0.0.0
KB/bert-base-swedish-cased 125 50 512 True 16,181 ± 2,451 / 4,620 ± 1,507 3.42 60.09 ± 1.69 / 55.62 ± 1.60 28.90 ± 1.74 / 51.06 ± 1.02 1.76 ± 1.61 / 44.34 ± 3.01 5.57 ± 0.78 / 28.89 ± 1.29 0.0.0 13.3.0 0.0.0 0.0.0
KBLab/bert-base-swedish-cased 125 50 512 True 16,164 ± 2,392 / 4,574 ± 1,478 3.42 55.25 ± 1.05 / 56.58 ± 1.22 29.10 ± 1.86 / 50.82 ± 1.24 2.19 ± 1.72 / 49.66 ± 1.83 5.14 ± 0.73 / 25.93 ± 0.80 12.7.0 13.3.0 12.7.0 12.7.0
utter-project/EuroLLM-9B-Instruct (few-shot) 9152 128 4096 False 1,483 ± 321 / 379 ± 158 3.42 24.92 ± 3.54 / 23.09 ± 3.30 9.76 ± 7.16 / 26.68 ± 6.80 0.15 ± 0.29 / 33.01 ± 0.31 28.18 ± 1.51 / 54.08 ± 0.71 13.1.0 13.3.0 13.1.0 13.1.0
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) 8030 128 131072 True 2,996 ± 817 / 284 ± 96 3.43 22.23 ± 2.11 / 22.77 ± 2.37 21.46 ± 6.37 / 35.83 ± 5.28 0.10 ± 0.51 / 33.23 ± 0.41 23.34 ± 2.39 / 45.64 ± 1.96 14.0.3 14.1.2 14.1.2 14.0.3
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 118 250 512 True 29,201 ± 6,282 / 6,045 ± 2,027 3.43 62.44 ± 1.07 / 64.98 ± 0.92 31.32 ± 1.98 / 51.09 ± 1.51 1.91 ± 1.14 / 46.54 ± 2.46 3.69 ± 0.48 / 27.48 ± 0.49 0.0.0 13.3.0 0.0.0 0.0.0
MaLA-LM/emma-500-llama2-7b (few-shot) 6738 32 4096 True 6,275 ± 1,193 / 1,755 ± 578 3.44 31.81 ± 1.93 / 29.47 ± 2.02 18.33 ± 5.09 / 30.21 ± 5.80 3.63 ± 1.69 / 44.49 ± 3.89 16.72 ± 7.29 / 46.83 ± 5.93 13.0.0 14.1.2 13.0.0 13.0.0
ibm-granite/granite-8b-code-base-4k (few-shot) 8055 49 4096 True 2,313 ± 423 / 682 ± 210 3.44 50.89 ± 2.90 / 35.75 ± 4.67 9.52 ± 4.25 / 29.57 ± 4.96 0.50 ± 0.94 / 33.77 ± 0.30 17.43 ± 3.38 / 41.32 ± 3.18 13.0.0 14.1.2 13.0.0 13.0.0
CohereForAI/aya-23-8B (few-shot) 8028 256 8192 False 2,707 ± 688 / 497 ± 166 3.45 47.16 ± 2.83 / 38.60 ± 4.04 0.33 ± 0.93 / 15.64 ± 1.01 3.84 ± 1.27 / 40.06 ± 3.79 21.75 ± 2.21 / 48.25 ± 2.02 13.0.0 14.1.2 13.0.0 13.0.0
DDSC/roberta-base-danish 125 50 514 True 15,004 ± 2,964 / 3,290 ± 1,092 3.46 59.63 ± 1.40 / 61.65 ± 1.33 24.47 ± 6.99 / 45.75 ± 5.87 1.76 ± 1.23 / 49.36 ± 1.58 5.55 ± 0.70 / 27.22 ± 1.06 0.0.0 13.3.0 0.0.0 0.0.0
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 3.46 41.10 ± 3.35 / 40.54 ± 3.19 13.59 ± 6.27 / 36.87 ± 4.51 -1.07 ± 2.09 / 44.83 ± 2.20 16.13 ± 2.52 / 39.51 ± 1.98 9.3.1 13.3.0 9.3.1 12.4.0
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 4096 True 2,219 ± 427 / 717 ± 224 3.46 40.08 ± 2.82 / 37.15 ± 4.07 16.23 ± 4.59 / 35.37 ± 4.49 1.59 ± 1.86 / 39.93 ± 4.19 15.98 ± 3.74 / 39.67 ± 3.36 12.5.2 14.1.2 12.1.0 12.1.0
pdelobelle/robbert-v2-dutch-base 117 40 514 True 15,481 ± 2,820 / 3,708 ± 1,186 3.46 55.54 ± 2.48 / 51.36 ± 2.29 28.28 ± 2.13 / 49.83 ± 1.84 1.06 ± 1.29 / 43.27 ± 3.33 5.42 ± 0.52 / 26.08 ± 0.59 0.0.0 13.3.0 0.0.0 0.0.0
3ebdola/Dialectal-Arabic-XLM-R-Base 278 250 514 True 12,783 ± 2,537 / 2,712 ± 885 3.49 46.95 ± 2.05 / 50.04 ± 1.99 20.94 ± 2.82 / 42.72 ± 2.88 1.40 ± 1.40 / 48.02 ± 2.05 10.48 ± 1.75 / 28.80 ± 1.59 12.6.1 13.3.0 12.6.1 12.6.1
FacebookAI/roberta-base 125 50 514 True 13,354 ± 3,334 / 2,451 ± 777 3.49 60.18 ± 3.20 / 55.70 ± 3.19 22.99 ± 1.80 / 44.15 ± 1.56 1.07 ± 1.62 / 42.87 ± 4.48 6.66 ± 0.67 / 32.13 ± 1.93 0.0.0 13.3.0 0.0.0 0.0.0
google/gemma-2-2b-it (few-shot) 2614 256 4096 True 5,374 ± 1,233 / 1,193 ± 377 3.49 14.79 ± 4.70 / 13.03 ± 2.92 15.24 ± 6.48 / 34.96 ± 6.66 1.10 ± 1.54 / 34.67 ± 0.87 25.42 ± 1.09 / 51.72 ± 1.28 13.0.0 13.3.0 13.0.0 13.0.0
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 3.50 32.71 ± 2.77 / 32.17 ± 2.13 13.24 ± 8.29 / 31.92 ± 6.23 0.66 ± 1.75 / 40.36 ± 4.19 18.04 ± 4.05 / 41.40 ± 3.27 9.2.0 13.3.0 9.2.0 12.5.1
microsoft/Phi-3-mini-4k-instruct (few-shot) 3821 32 2047 True 8,681 ± 1,650 / 2,177 ± 717 3.50 33.05 ± 4.29 / 29.75 ± 3.67 14.42 ± 3.18 / 37.82 ± 2.65 0.71 ± 1.18 / 34.80 ± 0.88 17.23 ± 2.51 / 39.88 ± 1.59 12.10.5 13.3.0 12.10.5 12.10.5
sentence-transformers/distiluse-base-multilingual-cased-v2 135 120 512 True 33,247 ± 8,123 / 6,017 ± 1,977 3.51 48.62 ± 2.65 / 51.75 ± 2.37 34.19 ± 1.88 / 53.26 ± 3.44 2.64 ± 2.11 / 49.47 ± 1.79 1.22 ± 0.49 / 12.16 ± 3.00 12.6.1 13.3.0 12.6.1 12.6.1
01-ai/Yi-1.5-6B (few-shot) 6061 64 4096 True 2,867 ± 550 / 793 ± 253 3.53 38.15 ± 2.30 / 28.10 ± 4.65 5.32 ± 3.81 / 29.01 ± 5.16 0.98 ± 1.44 / 35.86 ± 1.12 20.39 ± 3.04 / 44.20 ± 2.72 13.0.0 14.1.2 13.0.0 13.0.0
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 3.53 34.62 ± 4.64 / 33.25 ± 4.37 12.72 ± 4.04 / 28.92 ± 4.48 -0.24 ± 1.43 / 33.75 ± 0.31 18.10 ± 1.85 / 43.52 ± 0.87 12.5.2 14.1.2 12.3.2 12.3.2
dbmdz/bert-base-historic-multilingual-cased 111 32 512 True 20,047 ± 4,407 / 3,844 ± 1,259 3.54 56.62 ± 0.57 / 59.34 ± 0.66 24.79 ± 3.07 / 45.25 ± 3.48 -1.21 ± 1.45 / 47.43 ± 1.67 6.01 ± 0.45 / 29.08 ± 1.30 12.6.1 13.3.0 12.6.1 12.6.1
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 4096 False 634 ± 179 / 110 ± 35 3.54 36.04 ± 2.59 / 24.74 ± 2.79 12.93 ± 5.42 / 30.40 ± 3.15 -0.36 ± 1.36 / 33.94 ± 0.32 18.06 ± 3.16 / 42.57 ± 2.89 9.3.1 13.3.0 9.3.1 12.4.0
EuropeanParliament/EUBERT 94 66 514 True 20,070 ± 3,977 / 4,400 ± 1,435 3.55 29.71 ± 1.94 / 28.69 ± 1.97 36.28 ± 1.79 / 56.00 ± 1.23 2.71 ± 1.10 / 49.68 ± 1.24 6.50 ± 0.42 / 27.51 ± 0.99 12.6.1 13.3.0 12.6.1 12.6.1
dbmdz/bert-medium-historic-multilingual-cased 42 32 512 True 24,291 ± 4,887 / 5,096 ± 1,655 3.55 58.90 ± 1.06 / 62.01 ± 0.98 22.48 ± 2.76 / 44.42 ± 2.62 0.27 ± 1.53 / 43.40 ± 3.00 5.90 ± 0.57 / 27.22 ± 1.18 0.0.0 13.3.0 0.0.0 0.0.0
deepset/gbert-base 111 31 512 True 37,268 ± 6,577 / 8,719 ± 2,865 3.55 56.89 ± 1.71 / 52.39 ± 1.71 21.07 ± 3.67 / 43.57 ± 2.31 -0.13 ± 1.55 / 45.48 ± 2.51 6.69 ± 0.63 / 32.15 ± 1.11 0.0.0 13.3.0 0.0.0 0.0.0
sentence-transformers/distiluse-base-multilingual-cased 135 120 512 True 19,206 ± 4,451 / 3,658 ± 1,187 3.55 47.62 ± 2.97 / 50.59 ± 2.81 33.35 ± 1.84 / 53.45 ± 3.04 2.64 ± 2.11 / 49.47 ± 1.79 1.27 ± 0.46 / 12.20 ± 2.90 12.6.1 13.3.0 12.6.1 12.6.1
meta-llama/Llama-3.2-3B-Instruct (few-shot) 3213 128 131072 False 10,424 ± 2,641 / 2,081 ± 666 3.57 27.57 ± 1.71 / 22.52 ± 1.18 10.07 ± 5.45 / 28.32 ± 4.30 -1.39 ± 1.30 / 34.40 ± 1.96 22.98 ± 2.48 / 50.74 ± 1.59 13.0.0 13.3.0 13.0.0 13.0.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 2,370 ± 416 / 711 ± 242 3.57 34.80 ± 1.37 / 24.03 ± 2.32 17.64 ± 3.40 / 40.55 ± 3.17 5.46 ± 1.31 / 51.42 ± 1.10 12.66 ± 2.33 / 45.06 ± 2.27 14.0.3 14.0.3 14.0.3 14.0.3
sentence-transformers/distiluse-base-multilingual-cased-v1 135 120 512 True 34,042 ± 8,482 / 5,951 ± 1,950 3.57 45.47 ± 2.05 / 47.67 ± 2.11 35.18 ± 2.10 / 55.52 ± 1.45 1.14 ± 1.81 / 48.47 ± 1.64 1.63 ± 0.33 / 21.45 ± 1.39 12.6.1 13.3.0 12.6.1 12.6.1
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 17.80 ± 4.22 / 36.50 ± 4.92 1.31 ± 1.28 / 39.67 ± 4.39 17.24 ± 2.72 / 41.15 ± 1.57 12.9.1 13.3.0 12.9.1 12.9.1
ibm-granite/granite-3.0-8b-base (few-shot) 8171 49 4096 True 2,515 ± 625 / 476 ± 159 3.60 37.82 ± 3.63 / 32.97 ± 3.97 -0.29 ± 1.16 / 15.66 ± 0.37 -0.12 ± 1.31 / 33.78 ± 0.32 21.59 ± 2.22 / 47.09 ± 1.09 13.0.0 14.1.2 13.0.0 13.0.0
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 4096 True 5,054 ± 1,200 / 1,056 ± 339 3.62 36.47 ± 4.24 / 30.33 ± 3.70 1.84 ± 3.02 / 23.26 ± 3.53 2.54 ± 1.29 / 50.66 ± 0.62 18.66 ± 4.26 / 38.73 ± 3.66 12.5.3 14.1.2 12.5.3 12.5.3
norallm/normistral-7b-warm-instruct (few-shot) 7248 33 4096 True 6,194 ± 949 / 1,967 ± 619 3.65 36.59 ± 3.56 / 27.50 ± 2.53 11.75 ± 4.91 / 34.26 ± 5.32 0.86 ± 2.41 / 36.44 ± 1.27 14.58 ± 2.13 / 37.44 ± 1.86 12.7.0 13.3.0 12.7.0 12.7.0
TurkuNLP/bert-base-finnish-cased-v1 125 50 512 True 16,701 ± 2,104 / 5,450 ± 1,778 3.66 34.58 ± 2.44 / 32.10 ± 2.20 29.13 ± 2.34 / 49.85 ± 2.20 0.55 ± 1.58 / 46.24 ± 3.27 5.07 ± 0.53 / 24.32 ± 2.07 0.0.0 13.3.0 0.0.0 0.0.0
google/gemma-2-2b (few-shot) 2614 256 4096 True 5,235 ± 1,226 / 1,154 ± 366 3.66 10.67 ± 5.23 / 13.01 ± 3.26 12.86 ± 6.56 / 28.74 ± 6.46 -0.21 ± 0.99 / 33.71 ± 0.28 20.22 ± 3.01 / 43.48 ± 2.32 13.0.0 14.1.2 13.0.0 13.0.0
ibm-granite/granite-8b-code-instruct-4k (few-shot) 8055 49 4096 True 5,617 ± 995 / 1,623 ± 540 3.68 43.20 ± 3.61 / 32.10 ± 3.76 2.54 ± 2.60 / 17.05 ± 2.70 0.00 ± 0.00 / 33.69 ± 0.28 14.28 ± 2.94 / 38.21 ± 2.38 13.0.0 13.3.0 13.0.0 13.0.0
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 3.70 34.76 ± 4.42 / 23.42 ± 2.33 12.07 ± 3.53 / 32.35 ± 5.40 0.77 ± 1.05 / 39.63 ± 2.41 12.80 ± 2.37 / 30.77 ± 2.12 12.5.2 13.3.0 12.3.2 12.4.0
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 3.71 17.79 ± 1.18 / 18.12 ± 1.18 21.09 ± 4.78 / 36.73 ± 5.45 0.08 ± 0.15 / 33.73 ± 0.26 15.04 ± 2.53 / 34.77 ± 1.72 12.7.0 13.3.0 12.7.0 12.7.0
KBLab/albert-base-swedish-cased-alpha 14 50 512 True 15,925 ± 2,281 / 4,780 ± 1,554 3.74 42.07 ± 2.27 / 43.57 ± 2.15 17.77 ± 1.99 / 38.39 ± 1.32 0.27 ± 2.04 / 48.20 ± 1.32 7.35 ± 0.66 / 20.44 ± 1.46 0.0.0 13.3.0 0.0.0 0.0.0
ibm-granite/granite-3.0-2b-instruct (few-shot) 2634 49 4096 True 10,194 ± 2,403 / 2,193 ± 731 3.75 30.21 ± 4.29 / 29.79 ± 3.81 5.88 ± 2.95 / 21.46 ± 3.02 3.67 ± 1.87 / 48.02 ± 3.06 15.12 ± 1.65 / 40.55 ± 1.13 13.0.0 13.3.0 13.0.0 13.0.0
ltg/norbert2 125 50 512 True 15,523 ± 2,863 / 3,690 ± 1,195 3.75 28.74 ± 1.77 / 28.47 ± 1.77 30.38 ± 2.04 / 52.61 ± 1.15 3.00 ± 0.94 / 47.57 ± 3.24 3.47 ± 0.65 / 19.93 ± 2.77 0.0.0 13.3.0 0.0.0 0.0.0
NorwAI/NorwAI-Mistral-7B (few-shot) 7537 68 4096 True 3,035 ± 503 / 911 ± 300 3.76 21.40 ± 2.86 / 19.64 ± 2.27 14.64 ± 7.69 / 31.70 ± 6.80 0.99 ± 1.30 / 35.84 ± 1.02 13.84 ± 2.99 / 36.90 ± 2.08 12.10.4 14.1.2 12.10.4 12.10.4
ibm-granite/granite-3b-code-base-2k (few-shot) 3483 49 2048 True 2,732 ± 868 / 662 ± 238 3.76 38.52 ± 3.25 / 28.84 ± 5.49 4.29 ± 3.60 / 23.24 ± 4.11 0.00 ± 0.00 / 33.69 ± 0.28 12.94 ± 2.60 / 36.06 ± 2.17 13.0.0 14.1.2 13.0.0 13.0.0
openGPT-X/Teuken-7B-instruct-research-v0.4 (few-shot) 7453 251 4096 False 1,254 ± 328 / 243 ± 83 3.77 28.74 ± 2.37 / 19.43 ± 1.48 4.30 ± 1.28 / 19.35 ± 2.86 0.06 ± 1.39 / 34.20 ± 1.30 17.41 ± 2.45 / 45.55 ± 1.65 14.0.4 14.0.4 14.0.4 14.0.4
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 3.79 25.65 ± 2.99 / 22.30 ± 2.30 7.56 ± 4.87 / 26.07 ± 4.12 -0.35 ± 2.01 / 44.36 ± 4.13 14.46 ± 2.66 / 32.31 ± 1.66 12.5.2 13.3.0 12.1.0 12.5.2
sarnikowski/convbert-medium-small-da-cased 24 29 512 True 13,821 ± 2,209 / 3,547 ± 1,184 3.79 28.16 ± 1.78 / 25.72 ± 1.72 25.34 ± 1.28 / 43.29 ± 1.13 2.05 ± 1.54 / 47.80 ± 2.45 5.37 ± 0.70 / 24.09 ± 1.52 0.0.0 13.3.0 0.0.0 0.0.0
meta-llama/Llama-3.2-1B-Instruct (few-shot) 1236 128 131072 False 7,436 ± 1,846 / 1,508 ± 479 3.80 33.76 ± 3.44 / 32.21 ± 2.82 6.91 ± 4.60 / 27.56 ± 4.17 -0.13 ± 1.34 / 42.66 ± 3.62 12.43 ± 2.62 / 33.38 ± 1.39 13.0.0 13.3.0 13.0.0 13.0.0
Maltehb/aelaectra-danish-electra-small-cased 14 32 512 True 4,593 ± 114 / 3,034 ± 973 3.81 35.72 ± 8.84 / 37.68 ± 9.61 19.65 ± 7.54 / 34.37 ± 5.51 0.55 ± 0.58 / 33.62 ± 0.42 4.40 ± 0.52 / 21.85 ± 0.81 12.7.0 13.3.0 12.7.0 12.7.0
sarnikowski/convbert-small-da-cased 13 29 512 True 14,273 ± 2,312 / 3,555 ± 1,187 3.83 25.49 ± 2.22 / 23.07 ± 2.05 24.23 ± 2.17 / 40.76 ± 1.41 1.63 ± 1.91 / 45.09 ± 3.87 5.28 ± 0.62 / 22.50 ± 0.83 0.0.0 13.3.0 0.0.0 0.0.0
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) 7242 32 4096 False 5,172 ± 813 / 1,647 ± 518 3.83 24.98 ± 5.71 / 25.35 ± 4.78 13.57 ± 4.68 / 28.38 ± 5.14 1.18 ± 1.09 / 39.01 ± 2.76 8.52 ± 2.30 / 21.32 ± 2.25 12.5.2 13.3.0 12.3.2 12.3.2
nvidia/mistral-nemo-minitron-8b-instruct (few-shot) 8414 131 8192 True 3,161 ± 676 / 1,247 ± 481 3.84 43.65 ± 4.03 / 26.17 ± 3.16 10.70 ± 1.95 / 32.23 ± 2.92 10.77 ± 1.76 / 53.53 ± 1.49 0.29 ± 0.07 / 29.69 ± 2.78 14.1.1 14.1.1 14.1.1 14.1.1
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) 1445 64 2048 True 4,608 ± 988 / 1,115 ± 354 3.86 1.42 ± 1.60 / 3.11 ± 1.85 4.18 ± 2.03 / 17.89 ± 1.60 0.75 ± 0.73 / 45.87 ± 2.20 23.33 ± 2.22 / 45.28 ± 1.58 12.7.0 14.1.2 12.7.0 12.7.0
Maltehb/aelaectra-danish-electra-small-uncased 14 32 512 True 5,995 ± 135 / 3,839 ± 1,247 3.87 30.50 ± 1.95 / 30.08 ± 1.90 25.53 ± 7.07 / 39.09 ± 5.16 3.59 ± 1.49 / 46.53 ± 4.34 0.06 ± 0.07 / 0.12 ± 0.11 0.0.0 13.3.0 0.0.0 0.0.0
dbmdz/bert-tiny-historic-multilingual-cased 5 32 512 True 78,027 ± 15,466 / 17,064 ± 5,335 3.87 43.93 ± 1.57 / 46.59 ± 1.50 9.46 ± 4.02 / 28.69 ± 4.13 0.04 ± 1.75 / 47.53 ± 1.60 6.13 ± 0.63 / 21.73 ± 0.95 12.6.1 13.3.0 12.6.1 12.6.1
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 3.88 15.66 ± 5.89 / 15.78 ± 3.95 9.17 ± 4.79 / 31.18 ± 2.72 -0.55 ± 1.06 / 39.57 ± 3.61 14.11 ± 3.08 / 34.56 ± 2.38 12.5.2 14.1.2 12.1.0 12.1.0
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.88 8.83 ± 5.85 / 9.93 ± 4.70 10.08 ± 5.54 / 31.35 ± 3.02 0.31 ± 1.95 / 45.42 ± 3.51 16.08 ± 2.91 / 37.41 ± 2.44 12.5.2 14.1.2 12.1.0 12.1.0
asafaya/bert-base-arabic 111 32 512 True 16,347 ± 2,191 / 5,125 ± 1,672 3.89 22.51 ± 3.32 / 20.42 ± 3.17 24.52 ± 4.68 / 44.89 ± 4.60 0.23 ± 1.20 / 43.22 ± 3.41 5.05 ± 0.67 / 24.09 ± 1.66 0.0.0 13.3.0 0.0.0 0.0.0
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) 3374 49 4096 True 10,246 ± 3,021 / 1,629 ± 550 3.89 23.14 ± 2.08 / 23.09 ± 2.24 5.07 ± 2.69 / 27.01 ± 2.31 0.18 ± 1.67 / 33.93 ± 0.34 14.15 ± 2.49 / 36.10 ± 1.65 13.0.0 13.3.0 13.0.0 13.0.0
HuggingFaceTB/SmolLM2-1.7B (few-shot) 1711 49 8192 True 16,249 ± 3,690 / 3,689 ± 1,226 3.90 20.50 ± 4.51 / 18.93 ± 3.84 10.09 ± 3.91 / 29.11 ± 2.96 0.83 ± 1.65 / 45.84 ± 2.02 10.84 ± 2.45 / 28.36 ± 1.48 13.1.0 14.1.2 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) 1711 49 8192 True 15,971 ± 3,654 / 3,609 ± 1,197 3.91 26.23 ± 3.53 / 23.26 ± 2.30 6.86 ± 5.25 / 23.96 ± 4.13 2.69 ± 1.42 / 45.61 ± 2.69 10.84 ± 2.59 / 28.57 ± 2.09 13.1.0 13.3.0 13.1.0 13.1.0
ibm-granite/granite-3.0-2b-base (few-shot) 2534 49 4096 True 10,187 ± 2,363 / 2,204 ± 737 3.93 29.51 ± 2.44 / 29.14 ± 2.34 1.70 ± 2.98 / 16.77 ± 2.07 -0.32 ± 0.63 / 33.70 ± 0.28 12.36 ± 2.12 / 34.06 ± 1.47 13.0.0 14.1.2 13.0.0 13.0.0
openGPT-X/Teuken-7B-instruct-commercial-v0.4 (few-shot) 7453 251 4096 True 1,438 ± 410 / 233 ± 79 3.93 26.58 ± 1.47 / 22.13 ± 2.38 -0.79 ± 2.98 / 26.06 ± 1.66 0.63 ± 1.36 / 43.80 ± 3.59 15.14 ± 2.49 / 44.23 ± 2.12 14.0.4 14.0.4 14.0.4 14.0.4
ibm-granite/granite-3b-code-instruct-2k (few-shot) 3483 49 2048 True 9,059 ± 1,947 / 2,201 ± 728 3.94 33.57 ± 2.48 / 33.47 ± 2.48 0.60 ± 2.01 / 16.42 ± 1.16 0.00 ± 0.00 / 33.69 ± 0.28 11.27 ± 2.38 / 33.54 ± 1.64 13.0.0 13.3.0 13.0.0 13.0.0
ibm-granite/granite-7b-base (few-shot) 6738 32 4096 True 4,405 ± 1,098 / 1,032 ± 345 3.94 28.06 ± 2.33 / 29.10 ± 2.34 4.92 ± 3.77 / 24.47 ± 3.44 0.10 ± 1.11 / 33.70 ± 0.88 11.07 ± 2.29 / 27.33 ± 1.88 12.10.5 14.1.2 12.10.5 12.10.5
stabilityai/stablelm-2-1_6b (few-shot) 1645 100 4096 True 7,259 ± 2,120 / 1,240 ± 432 3.97 32.19 ± 2.52 / 32.88 ± 2.18 8.99 ± 5.40 / 28.03 ± 5.83 0.37 ± 1.64 / 33.39 ± 0.55 6.58 ± 2.15 / 27.03 ± 2.89 12.10.8 14.1.2 12.10.8 12.10.8
alexanderfalk/danbert-small-cased 83 52 514 True 30,013 ± 4,309 / 8,840 ± 2,859 3.98 12.39 ± 2.20 / 11.68 ± 2.17 29.54 ± 2.92 / 50.54 ± 2.21 1.63 ± 1.66 / 43.64 ± 4.69 1.70 ± 0.45 / 16.29 ± 1.59 0.0.0 13.3.0 0.0.0 0.0.0
Maltehb/danish-bert-botxo 111 32 512 True 16,091 ± 2,427 / 4,575 ± 1,485 4.03 12.64 ± 2.49 / 11.10 ± 2.21 22.02 ± 3.35 / 45.42 ± 2.33 0.06 ± 1.76 / 47.57 ± 1.77 4.77 ± 0.39 / 27.98 ± 1.03 0.0.0 13.3.0 0.0.0 0.0.0
fresh-xlm-roberta-base 278 250 514 True 2,214 ± 94 / 1,494 ± 229 4.06 17.34 ± 1.13 / 16.43 ± 1.26 25.25 ± 3.12 / 44.40 ± 4.52 -0.06 ± 0.99 / 36.73 ± 3.00 1.02 ± 0.30 / 21.61 ± 1.10 0.0.0 13.3.0 0.0.0 0.0.0
ibm-granite/granite-3.0-3b-a800m-base (few-shot) 3374 49 4096 True 10,504 ± 3,028 / 1,678 ± 559 4.06 18.07 ± 3.62 / 18.73 ± 2.54 0.65 ± 3.12 / 18.97 ± 1.86 -0.72 ± 1.22 / 33.96 ± 0.50 12.27 ± 2.81 / 30.66 ± 1.47 13.0.0 14.1.2 13.0.0 13.0.0
fresh-electra-small 14 31 512 True 7,840 ± 1,538 / 3,024 ± 438 4.07 9.96 ± 1.11 / 8.96 ± 1.05 30.18 ± 1.07 / 50.55 ± 0.86 -0.10 ± 1.46 / 35.81 ± 3.45 0.12 ± 0.10 / 4.48 ± 1.39 0.0.0 13.3.0 0.0.0 0.0.0
PleIAs/Pleias-1.2b-Preview (few-shot) 1195 66 2048 True 10,756 ± 3,589 / 1,157 ± 670 4.08 22.56 ± 3.90 / 22.69 ± 3.50 0.53 ± 2.22 / 20.28 ± 1.55 -0.26 ± 0.43 / 33.59 ± 1.01 11.77 ± 1.87 / 31.39 ± 2.24 14.0.4 14.1.2 14.1.2 14.0.4
meta-llama/Llama-3.2-1B (few-shot) 1236 128 131072 True 7,577 ± 1,884 / 1,555 ± 492 4.08 17.77 ± 6.81 / 16.42 ± 6.19 7.64 ± 4.41 / 25.58 ± 4.40 -0.35 ± 1.50 / 34.29 ± 1.64 8.15 ± 2.21 / 30.75 ± 2.05 13.0.0 14.1.2 13.0.0 13.0.0
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 4.10 20.49 ± 2.30 / 18.33 ± 1.40 -0.75 ± 1.97 / 22.91 ± 2.76 -0.01 ± 2.13 / 46.02 ± 2.71 10.95 ± 2.39 / 37.64 ± 0.75 12.5.2 14.1.2 12.1.0 12.4.0
NorwAI/NorwAI-Llama2-7B (few-shot) 7033 68 4096 True 4,438 ± 1,128 / 1,028 ± 346 4.14 9.35 ± 0.70 / 9.74 ± 0.73 10.70 ± 5.05 / 29.61 ± 7.19 1.14 ± 0.97 / 35.56 ± 2.43 7.51 ± 3.09 / 30.04 ± 2.02 12.10.4 14.1.2 12.10.4 12.10.4
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 4.15 14.15 ± 1.92 / 14.96 ± 2.11 6.87 ± 6.27 / 28.55 ± 3.29 0.78 ± 1.70 / 44.74 ± 3.57 7.80 ± 1.32 / 23.47 ± 1.64 12.5.2 13.3.0 12.1.0 12.5.0
ibm-granite/granite-7b-instruct (few-shot) 6738 32 4096 True 3,136 ± 558 / 942 ± 290 4.17 19.07 ± 1.70 / 20.43 ± 1.80 -0.51 ± 3.34 / 18.63 ± 3.02 0.99 ± 1.27 / 39.24 ± 3.43 9.54 ± 0.94 / 25.84 ± 1.85 13.2.0 13.2.0 13.2.0 13.2.0
utter-project/EuroLLM-1.7B-Instruct (few-shot) 1657 128 4096 True 15,009 ± 4,072 / 2,702 ± 878 4.17 13.29 ± 2.33 / 14.72 ± 2.11 6.83 ± 5.62 / 31.41 ± 4.70 0.92 ± 1.51 / 42.09 ± 3.39 7.49 ± 1.26 / 24.16 ± 1.95 13.1.0 13.3.0 13.1.0 13.1.0
ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) 1335 49 4096 True 7,964 ± 2,255 / 1,299 ± 433 4.18 17.74 ± 3.49 / 16.16 ± 1.89 3.84 ± 4.22 / 27.14 ± 5.28 -1.13 ± 1.09 / 44.10 ± 3.57 7.74 ± 1.43 / 24.78 ± 1.48 13.2.0 13.2.0 13.2.0 13.2.0
PleIAs/Pleias-Nano (few-shot) 1195 66 2048 True 2,519 ± 841 / 323 ± 104 4.21 9.90 ± 5.26 / 15.24 ± 2.90 2.13 ± 2.07 / 21.55 ± 2.63 0.02 ± 1.43 / 34.31 ± 2.24 10.64 ± 2.56 / 31.31 ± 1.47 14.0.4 14.1.2 14.1.2 14.0.4
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 4096 True 1,373 ± 120 / 709 ± 172 4.22 23.67 ± 5.16 / 23.19 ± 4.37 7.76 ± 3.65 / 29.49 ± 4.31 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 14.61 ± 2.02 12.7.0 14.1.2 12.7.0 12.7.0
PleIAs/Pleias-3b-Preview (few-shot) 3212 66 4096 True 6,513 ± 1,241 / 1,282 ± 644 4.24 18.86 ± 5.30 / 18.63 ± 4.20 -0.67 ± 2.61 / 21.03 ± 3.38 -0.76 ± 0.76 / 33.16 ± 0.37 8.09 ± 1.59 / 26.19 ± 2.53 14.0.4 14.1.2 14.1.2 14.0.4
state-spaces/mamba-2.8b-hf (few-shot) 2768 50 -1 True 2,722 ± 495 / 766 ± 250 4.25 18.38 ± 1.54 / 20.76 ± 1.34 -1.70 ± 2.31 / 21.85 ± 2.75 0.49 ± 1.54 / 42.54 ± 4.23 6.30 ± 2.23 / 23.24 ± 0.99 13.0.0 13.3.0 13.0.0 13.0.0
HuggingFaceTB/SmolLM2-360M (few-shot) 362 49 8192 True 22,023 ± 6,203 / 3,675 ± 1,231 4.27 13.43 ± 1.36 / 13.81 ± 1.45 3.82 ± 2.09 / 24.09 ± 2.81 1.14 ± 1.52 / 36.93 ± 3.69 3.71 ± 1.14 / 16.21 ± 2.86 13.1.0 14.1.2 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) 362 49 8192 True 21,777 ± 6,115 / 3,617 ± 1,211 4.29 13.60 ± 1.50 / 13.99 ± 1.39 3.12 ± 4.92 / 27.55 ± 4.21 0.28 ± 1.41 / 37.58 ± 4.34 4.09 ± 1.03 / 16.34 ± 2.86 13.1.0 13.3.0 13.1.0 13.1.0
PleIAs/Pleias-350m-Preview (few-shot) 353 66 2048 True 10,242 ± 3,432 / 1,335 ± 484 4.33 17.73 ± 1.58 / 18.22 ± 1.53 2.38 ± 2.00 / 21.79 ± 2.03 -0.18 ± 1.21 / 37.94 ± 4.17 1.59 ± 0.83 / 12.57 ± 3.10 14.0.4 14.1.2 14.1.2 14.0.4
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 4.36 16.20 ± 1.52 / 16.96 ± 1.71 0.10 ± 1.78 / 18.76 ± 2.62 -0.57 ± 1.20 / 41.25 ± 3.51 3.31 ± 0.82 / 16.86 ± 2.98 12.5.2 14.1.2 12.1.0 12.1.0
ibm-granite/granite-3.0-1b-a400m-base (few-shot) 1385 49 4096 True 7,808 ± 2,183 / 1,289 ± 428 4.36 5.62 ± 3.01 / 8.37 ± 2.88 4.82 ± 4.50 / 22.80 ± 5.16 -0.20 ± 0.76 / 33.73 ± 0.26 4.94 ± 1.33 / 18.58 ± 2.50 13.2.0 13.2.0 13.2.0 13.2.0
HuggingFaceTB/SmolLM2-135M (few-shot) 135 49 8192 True 26,346 ± 7,812 / 4,082 ± 1,372 4.37 14.74 ± 2.42 / 16.01 ± 2.04 3.13 ± 3.12 / 22.51 ± 2.62 -0.25 ± 0.60 / 34.69 ± 3.02 1.35 ± 0.73 / 10.92 ± 2.52 13.1.0 14.1.2 13.1.0 13.1.0
tiiuae/Falcon3-1B-Instruct (few-shot) 1669 131 8192 True 9,270 ± 2,690 / 1,434 ± 437 4.37 9.39 ± 3.31 / 9.28 ± 3.38 6.44 ± 2.00 / 22.24 ± 3.62 -0.72 ± 1.67 / 43.21 ± 3.74 3.34 ± 0.98 / 21.41 ± 2.93 14.1.2 14.1.2 14.1.2 14.1.2
PleIAs/Pleias-Pico (few-shot) 353 66 2048 True 2,331 ± 787 / 301 ± 97 4.38 13.80 ± 3.19 / 14.46 ± 3.19 2.17 ± 2.73 / 22.31 ± 3.55 -0.63 ± 0.78 / 36.66 ± 3.41 1.29 ± 0.69 / 10.96 ± 2.80 14.0.4 14.1.2 14.1.2 14.0.4
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) 135 49 8192 True 25,602 ± 7,583 / 3,953 ± 1,325 4.40 13.70 ± 2.05 / 15.01 ± 2.07 3.01 ± 2.55 / 22.58 ± 2.22 -0.83 ± 0.71 / 32.99 ± 0.27 0.94 ± 0.54 / 10.22 ± 2.52 13.1.0 13.3.0 13.1.0 13.1.0
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 4.41 9.50 ± 3.17 / 9.41 ± 3.40 1.63 ± 1.45 / 19.19 ± 0.27 1.76 ± 1.62 / 38.51 ± 3.72 3.14 ± 0.71 / 17.84 ± 2.26 12.5.2 13.3.0 12.1.0 12.5.0
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) 6738 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.41 9.48 ± 1.48 / 10.10 ± 1.44 3.32 ± 3.76 / 21.42 ± 3.52 0.07 ± 1.06 / 43.54 ± 3.63 1.04 ± 0.96 / 7.35 ± 3.52 9.3.1 13.3.0 9.3.1 12.5.2
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 4.44 12.26 ± 4.13 / 12.77 ± 3.60 -9.69 ± 4.92 / 18.53 ± 1.70 0.94 ± 1.34 / 40.66 ± 3.73 6.31 ± 1.01 / 20.24 ± 2.02 12.5.2 14.1.2 12.1.0 12.1.0
NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) 7537 68 4096 True 3,024 ± 496 / 909 ± 301 4.45 3.69 ± 1.28 / 3.66 ± 1.30 5.91 ± 3.50 / 26.15 ± 4.44 1.24 ± 1.37 / 42.67 ± 4.99 0.29 ± 0.19 / 5.14 ± 0.75 12.10.4 14.1.2 12.10.4 12.10.4
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 4096 True 5,847 ± 1,029 / 1,640 ± 525 4.49 0.00 ± 0.00 / 0.00 ± 0.00 10.54 ± 3.93 / 35.55 ± 4.63 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 11.90 ± 2.74 9.3.1 14.1.2 9.3.1 9.3.1
NorGLM/NorGPT-369M (few-shot) 471 64 2048 True 19,896 ± 5,099 / 3,848 ± 1,251 4.55 1.68 ± 1.40 / 1.54 ± 1.28 2.78 ± 2.87 / 22.52 ± 3.50 -1.38 ± 1.13 / 34.41 ± 2.16 0.08 ± 0.09 / 10.05 ± 2.08 12.5.2 14.1.2 12.5.2 12.5.2
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 4.56 0.00 ± 0.00 / 0.00 ± 0.00 2.31 ± 2.42 / 20.87 ± 2.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 3.90 ± 0.28 12.5.2 14.1.2 12.5.2 12.5.2
ai-forever/mGPT (few-shot) unknown 100 2048 True 11,734 ± 3,124 / 2,174 ± 720 4.56 0.00 ± 0.00 / 0.00 ± 0.00 2.54 ± 2.23 / 21.79 ± 2.35 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.05 ± 0.03 9.3.1 14.1.2 11.0.0 12.5.1
ltg/norbert 112 33 512 True 16,280 ± 2,296 / 4,838 ± 1,583 4.62 0.00 ± 0.00 / 0.00 ± 0.00 -1.89 ± 3.12 / 20.00 ± 2.71 -0.03 ± 1.29 / 46.72 ± 2.28 1.68 ± 0.72 / 13.50 ± 4.66 0.0.0 13.3.0 0.0.0 0.0.0
Sigurdur/icechat (few-shot) 110 32 1024 False 49,558 ± 7,930 / 13,921 ± 4,425 4.63 0.00 ± 0.00 / 0.00 ± 0.00 1.86 ± 2.32 / 23.48 ± 4.78 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.64 ± 0.34 12.5.2 14.1.2 12.5.2 12.5.2
Sigurdur/qa-icebreaker (few-shot) 110 32 1024 False 44,889 ± 6,944 / 13,506 ± 4,256 4.63 0.00 ± 0.00 / 0.00 ± 0.00 0.46 ± 0.84 / 21.04 ± 2.19 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 4.86 ± 0.20 12.5.2 14.1.2 12.5.2 12.5.2
Sigurdur/jonas-hallgrimsson-gpt2 (few-shot) 125 51 1024 False 32,644 ± 3,887 / 11,289 ± 3,585 4.67 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 18.81 ± 0.27 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.00 ± 0.00 12.5.2 14.1.2 12.5.2 12.5.2
ssmits/Falcon2-5.5B-multilingual (few-shot) 5465 65 8192 True 7,692 ± 1,423 / 1,960 ± 644 4.67 0.00 ± 0.00 / 0.00 ± 0.00 -1.30 ± 1.45 / 18.79 ± 0.29 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.02 ± 0.01 13.0.0 14.1.2 13.0.0 13.0.0
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