Danish NLU 🇩🇰

Last updated: 30/05/2024 19:14:34 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank DANSK Angry Tweets ScaLA-da ScandiQA-da DANSK version Angry Tweets version ScaLA-da version ScandiQA-da version
gpt-4-0613 (few-shot, val) unknown 100 8192 True 597 ± 197 / 93 ± 33 1.24 64.94 ± 1.96 / 45.76 ± 3.31 59.97 ± 2.65 / 73.06 ± 1.77 71.56 ± 2.49 / 85.36 ± 1.29 56.43 ± 2.98 / 68.46 ± 1.64 0.0.0 0.0.0 0.0.0 12.9.0
gpt-4-1106-preview (few-shot, val) unknown 100 127999 True 576 ± 221 / 81 ± 28 1.26 66.80 ± 3.01 / 45.69 ± 2.85 61.62 ± 2.17 / 73.99 ± 1.48 66.84 ± 3.27 / 82.79 ± 1.86 56.85 ± 2.62 / 68.83 ± 1.50 12.10.0 12.10.2 12.10.2 12.10.0
syvai/danskgpt-chat-llama3-70b (few-shot, val) 70554 128 8192 True 1,283 ± 279 / 291 ± 92 1.29 65.40 ± 1.90 / 54.29 ± 1.61 62.78 ± 3.01 / 75.05 ± 1.92 57.88 ± 3.35 / 78.50 ± 3.07 62.24 ± 2.43 / 68.23 ± 1.77 12.10.0 12.10.0 12.10.0 12.10.0
AI-Sweden-Models/roberta-large-1160k 355 50 512 True 14,014 ± 2,384 / 3,625 ± 1,146 1.39 74.16 ± 1.73 / 70.93 ± 1.67 51.20 ± 1.67 / 66.62 ± 1.58 73.87 ± 2.13 / 86.61 ± 1.17 49.34 ± 1.14 / 55.06 ± 1.21 10.0.1 10.0.1 10.0.1 10.0.1
KennethEnevoldsen/dfm-sentence-encoder-large-1 355 50 512 True 6,245 ± 1,260 / 1,416 ± 453 1.39 74.99 ± 1.65 / 70.34 ± 1.50 53.85 ± 1.39 / 68.94 ± 1.19 75.71 ± 1.95 / 87.29 ± 1.14 44.85 ± 4.12 / 50.40 ± 4.01 0.0.0 0.0.0 0.0.0 0.0.0
KennethEnevoldsen/dfm-sentence-encoder-large-2 355 50 512 True 6,569 ± 1,320 / 1,492 ± 476 1.39 75.30 ± 1.02 / 70.13 ± 1.50 55.12 ± 1.58 / 69.99 ± 1.09 76.34 ± 2.35 / 87.56 ± 1.48 45.15 ± 3.33 / 50.82 ± 3.13 0.0.0 0.0.0 0.0.0 0.0.0
danish-foundation-models/encoder-large-v1 355 50 512 True 6,671 ± 1,380 / 1,497 ± 482 1.40 74.60 ± 1.94 / 69.95 ± 2.01 51.42 ± 2.30 / 67.07 ± 1.97 76.11 ± 1.17 / 87.41 ± 0.67 47.42 ± 1.86 / 53.06 ± 1.68 0.0.0 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 1.40 63.62 ± 3.74 / 53.29 ± 3.38 60.19 ± 3.31 / 73.13 ± 2.17 50.07 ± 5.86 / 72.94 ± 4.16 60.97 ± 2.76 / 66.71 ± 2.27 12.7.0 12.6.1 12.7.0 12.7.0
AI-Sweden-Models/roberta-large-1350k 355 50 512 True 5,744 ± 969 / 1,539 ± 492 1.45 75.22 ± 1.64 / 71.57 ± 1.50 49.94 ± 3.25 / 65.66 ± 2.73 72.59 ± 1.38 / 85.58 ± 0.97 48.97 ± 1.22 / 54.79 ± 1.18 10.0.1 10.0.1 10.0.1 10.0.1
ltg/norbert3-large 354 50 508 True 5,048 ± 824 / 1,354 ± 429 1.50 73.62 ± 1.06 / 68.91 ± 1.04 48.29 ± 2.60 / 64.67 ± 2.10 71.55 ± 1.81 / 85.17 ± 1.13 48.59 ± 1.35 / 53.54 ± 1.23 0.0.0 0.0.0 0.0.0 0.0.0
NbAiLab/nb-bert-large 355 50 512 True 6,343 ± 1,236 / 1,444 ± 456 1.55 70.38 ± 1.58 / 65.70 ± 1.23 49.07 ± 1.23 / 65.38 ± 1.16 72.02 ± 2.15 / 85.74 ± 1.17 45.72 ± 1.86 / 51.32 ± 1.81 0.0.0 0.0.0 0.0.0 0.0.0
vesteinn/DanskBERT 124 50 512 True 15,749 ± 2,665 / 4,014 ± 1,281 1.56 72.55 ± 2.08 / 69.31 ± 1.93 52.86 ± 1.08 / 68.19 ± 1.02 75.20 ± 1.73 / 86.99 ± 1.17 37.65 ± 0.96 / 43.48 ± 1.14 0.0.0 0.0.0 0.0.0 0.0.0
google/rembert 576 250 256 True 11,736 ± 2,822 / 2,102 ± 677 1.62 70.19 ± 3.34 / 66.64 ± 2.68 50.19 ± 1.82 / 66.32 ± 1.50 69.72 ± 2.25 / 84.30 ± 1.64 39.85 ± 8.97 / 44.44 ± 9.99 0.0.0 0.0.0 0.0.0 0.0.0
gpt-3.5-turbo-0613 (few-shot, val) unknown 100 4094 True 921 ± 293 / 113 ± 37 1.62 61.31 ± 2.34 / 49.86 ± 2.18 52.52 ± 2.05 / 68.10 ± 1.35 57.63 ± 2.80 / 77.01 ± 1.83 57.03 ± 1.95 / 65.51 ± 1.48 12.9.0 12.9.0 12.9.0 12.9.0
intfloat/multilingual-e5-large 560 250 512 True 6,732 ± 1,273 / 1,633 ± 523 1.63 69.50 ± 1.78 / 65.03 ± 1.31 55.07 ± 1.53 / 69.43 ± 1.47 57.67 ± 2.56 / 78.48 ± 1.32 46.71 ± 1.25 / 52.84 ± 1.18 0.0.0 0.0.0 0.0.0 0.0.0
gpt-3.5-turbo-0613 (few-shot) unknown 100 4096 True 837 ± 294 / 126 ± 43 1.69 59.40 ± 1.99 / 43.10 ± 1.97 51.80 ± 1.29 / 68.17 ± 0.86 54.22 ± 1.49 / 74.13 ± 1.14 56.55 ± 1.12 / 65.84 ± 0.86 0.0.0 0.0.0 0.0.0 0.0.0
FacebookAI/xlm-roberta-large 560 250 512 True 17,897 ± 3,921 / 3,463 ± 1,141 1.71 72.74 ± 2.58 / 67.15 ± 2.53 48.33 ± 4.44 / 63.94 ± 5.16 57.30 ± 14.90 / 76.82 ± 8.67 43.57 ± 3.28 / 49.29 ± 3.35 0.0.0 0.0.0 0.0.0 0.0.0
NbAiLab/nb-roberta-base-scandi 278 250 512 True 15,079 ± 2,948 / 3,359 ± 1,091 1.71 73.28 ± 1.37 / 68.37 ± 1.73 52.08 ± 1.06 / 67.98 ± 0.77 67.99 ± 2.28 / 83.02 ± 1.44 32.39 ± 0.87 / 37.27 ± 0.79 0.0.0 0.0.0 0.0.0 0.0.0
KennethEnevoldsen/dfm-sentence-encoder-medium-3 178 120 512 True 14,050 ± 3,278 / 2,749 ± 894 1.72 71.21 ± 1.46 / 67.27 ± 1.78 47.55 ± 1.25 / 64.66 ± 0.96 68.72 ± 1.40 / 83.85 ± 0.85 38.33 ± 1.25 / 43.90 ± 1.45 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-70b-hf (few-shot, val) 68977 32 4096 True 1,892 ± 650 / 318 ± 105 1.74 58.06 ± 2.48 / 50.10 ± 2.23 53.24 ± 4.04 / 67.81 ± 2.74 39.71 ± 4.96 / 65.90 ± 3.81 62.51 ± 1.48 / 67.47 ± 1.39 12.7.0 12.7.0 12.7.0 12.7.0
microsoft/mdeberta-v3-base 279 251 512 True 20,637 ± 3,925 / 4,497 ± 1,502 1.75 72.90 ± 2.53 / 67.41 ± 2.19 43.38 ± 3.20 / 60.05 ± 4.33 67.05 ± 1.41 / 83.18 ± 0.80 42.15 ± 2.12 / 47.97 ± 1.99 0.0.0 0.0.0 0.0.0 0.0.0
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32764 True 2,126 ± 676 / 319 ± 104 1.78 56.96 ± 2.39 / 45.84 ± 1.75 55.11 ± 4.11 / 69.60 ± 2.69 42.64 ± 3.22 / 71.04 ± 1.56 54.58 ± 2.19 / 64.12 ± 1.41 12.7.0 12.7.0 12.7.0 12.7.0
NbAiLab/nb-roberta-base-scandi-1e4 278 250 512 True 15,074 ± 2,990 / 3,347 ± 1,080 1.80 72.16 ± 2.09 / 68.01 ± 1.69 51.70 ± 1.98 / 67.54 ± 1.47 62.03 ± 11.56 / 80.01 ± 5.70 29.95 ± 2.38 / 35.36 ± 1.79 0.0.0 0.0.0 0.0.0 0.0.0
NbAiLab/nb-bert-base 178 120 512 True 14,050 ± 3,222 / 2,727 ± 886 1.81 70.36 ± 1.61 / 66.92 ± 1.70 46.32 ± 1.22 / 64.13 ± 0.85 66.41 ± 1.89 / 82.44 ± 1.42 36.42 ± 1.11 / 41.53 ± 1.29 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) 70554 128 8192 True 1,673 ± 583 / 275 ± 85 1.81 63.10 ± 2.12 / 55.10 ± 1.44 53.09 ± 3.85 / 68.18 ± 2.27 40.98 ± 4.46 / 69.10 ± 2.72 51.13 ± 1.89 / 63.12 ± 1.61 12.7.0 12.7.0 12.7.0 12.7.0
sentence-transformers/use-cmlm-multilingual 471 501 512 True 30,231 ± 8,171 / 4,863 ± 1,598 1.83 69.17 ± 2.07 / 65.80 ± 1.78 48.03 ± 0.74 / 65.34 ± 0.40 55.31 ± 2.29 / 76.29 ± 1.57 42.34 ± 3.05 / 47.57 ± 3.10 0.0.0 0.0.0 0.0.0 0.0.0
pere/roberta-debug-8 278 250 512 True 15,103 ± 2,954 / 3,356 ± 1,090 1.84 71.34 ± 1.56 / 66.53 ± 1.53 49.77 ± 0.92 / 66.38 ± 0.56 64.31 ± 2.24 / 80.70 ± 1.53 31.86 ± 1.88 / 37.00 ± 1.79 0.0.0 0.0.0 0.0.0 0.0.0
vesteinn/FoBERT 124 50 512 True 15,623 ± 2,828 / 3,737 ± 1,191 1.84 69.65 ± 2.04 / 65.80 ± 1.79 49.18 ± 1.55 / 65.94 ± 1.28 65.45 ± 1.97 / 81.55 ± 1.33 32.40 ± 2.41 / 37.33 ± 2.34 0.0.0 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 1.84 69.79 ± 2.03 / 65.20 ± 1.94 47.73 ± 1.45 / 64.85 ± 1.13 68.28 ± 1.77 / 83.52 ± 1.02 31.90 ± 2.50 / 37.07 ± 2.36 0.0.0 0.0.0 0.0.0 0.0.0
setu4993/LaBSE 471 501 512 True 25,418 ± 6,435 / 4,536 ± 1,452 1.85 71.24 ± 1.63 / 66.41 ± 1.64 46.50 ± 1.57 / 64.31 ± 1.21 52.92 ± 4.42 / 75.11 ± 3.22 40.08 ± 1.22 / 45.40 ± 1.14 0.0.0 0.0.0 0.0.0 0.0.0
pere/roberta-debug-32 278 250 512 True 14,958 ± 2,903 / 3,331 ± 1,077 1.86 68.46 ± 2.31 / 64.34 ± 2.02 50.48 ± 0.68 / 66.71 ± 0.40 64.34 ± 2.43 / 80.92 ± 1.67 30.30 ± 1.40 / 35.30 ± 1.16 0.0.0 0.0.0 0.0.0 0.0.0
pere/roberta-base-exp-8 278 250 512 True 15,112 ± 2,969 / 3,347 ± 1,093 1.88 68.77 ± 2.07 / 64.77 ± 1.86 49.66 ± 0.99 / 66.21 ± 0.72 60.13 ± 13.57 / 78.92 ± 6.96 32.60 ± 0.75 / 37.37 ± 0.72 0.0.0 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 1.89 68.70 ± 2.40 / 64.05 ± 2.19 49.88 ± 1.21 / 66.06 ± 1.12 44.20 ± 2.01 / 70.33 ± 1.04 39.90 ± 1.37 / 45.91 ± 1.20 12.6.1 0.0.0 0.0.0 0.0.0
ltg/norbert3-base 124 50 508 True 11,405 ± 1,970 / 2,856 ± 917 1.90 73.26 ± 1.37 / 67.83 ± 1.48 43.94 ± 1.37 / 61.91 ± 0.97 51.62 ± 15.51 / 73.99 ± 9.26 40.70 ± 0.86 / 45.68 ± 0.80 0.0.0 0.0.0 0.0.0 0.0.0
mhenrichsen/danskgpt-chat-v2.1 (few-shot) unknown 32 32768 True 5,085 ± 998 / 1,306 ± 404 1.98 51.08 ± 1.60 / 35.83 ± 1.84 54.69 ± 0.99 / 69.50 ± 0.93 30.95 ± 1.48 / 62.15 ± 1.83 56.56 ± 0.76 / 64.32 ± 0.40 12.0.0 12.0.0 12.0.0 12.0.0
pere/roberta-base-exp-32B 278 250 512 True 15,103 ± 2,982 / 3,357 ± 1,081 1.98 71.81 ± 1.72 / 66.85 ± 1.93 47.83 ± 1.22 / 64.90 ± 0.81 54.99 ± 11.90 / 75.82 ± 5.70 29.92 ± 0.98 / 34.74 ± 0.91 0.0.0 0.0.0 0.0.0 0.0.0
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 1.99 53.20 ± 1.97 / 32.89 ± 2.00 51.75 ± 1.18 / 67.38 ± 0.95 32.72 ± 1.79 / 62.53 ± 2.00 56.44 ± 0.99 / 65.36 ± 0.51 12.5.2 12.5.2 12.5.2 12.5.2
pere/roberta-base-exp-32 278 250 512 True 15,081 ± 2,950 / 3,365 ± 1,092 2.01 71.90 ± 1.08 / 67.25 ± 1.47 51.33 ± 1.24 / 67.04 ± 1.22 44.45 ± 19.17 / 70.51 ± 10.21 32.51 ± 0.79 / 37.00 ± 0.78 0.0.0 0.0.0 0.0.0 0.0.0
RJuro/munin-neuralbeagle-7b (few-shot, val) 7242 32 32768 False 2,493 ± 466 / 773 ± 243 2.07 51.44 ± 3.28 / 41.38 ± 2.79 54.91 ± 2.59 / 67.84 ± 2.53 22.77 ± 3.96 / 52.29 ± 3.81 56.51 ± 1.80 / 64.01 ± 1.12 9.3.2 9.3.2 9.3.2 12.5.2
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,890 ± 401 / 1,155 ± 348 2.09 50.40 ± 2.92 / 38.57 ± 2.82 52.30 ± 2.65 / 64.19 ± 2.60 21.30 ± 3.52 / 47.78 ± 4.14 58.17 ± 1.71 / 63.79 ± 1.42 9.3.1 9.3.1 9.3.1 12.5.2
syvai/llama3-da-base (few-shot) 8030 128 8192 True 3,191 ± 1,053 / 446 ± 147 2.09 49.97 ± 3.05 / 34.87 ± 3.11 48.61 ± 1.35 / 60.53 ± 2.13 28.16 ± 3.02 / 59.87 ± 3.44 59.55 ± 1.23 / 65.50 ± 0.77 12.9.0 12.9.0 12.9.0 12.9.0
four-two-labs/orpo-llama-3-swe (few-shot) 8030 128 8192 False 4,974 ± 1,208 / 1,032 ± 342 2.10 46.75 ± 2.79 / 29.40 ± 2.22 51.73 ± 1.40 / 66.43 ± 1.93 24.73 ± 4.78 / 53.98 ± 6.10 59.97 ± 1.27 / 65.74 ± 0.76 12.7.0 12.7.0 12.7.0 12.7.0
timpal0l/BeagleCatMunin (few-shot, val) 7242 32 32768 False 2,495 ± 458 / 775 ± 244 2.10 47.62 ± 3.01 / 36.77 ± 2.96 54.73 ± 3.20 / 68.74 ± 2.21 21.80 ± 4.54 / 51.07 ± 4.11 57.26 ± 1.76 / 63.60 ± 1.40 9.3.2 9.3.2 9.3.2 12.5.2
merge-crew/da-sv-slerp (few-shot, val) 7242 32 32768 True 2,467 ± 469 / 762 ± 244 2.12 45.94 ± 3.62 / 35.68 ± 3.35 51.75 ± 4.52 / 62.28 ± 4.29 28.04 ± 3.83 / 58.31 ± 5.00 57.65 ± 1.66 / 62.03 ± 1.50 10.0.1 10.0.1 10.0.1 10.0.1
merge-crew/da-sv-task-arithmetic (few-shot, val) 7242 32 32768 True 2,500 ± 469 / 762 ± 238 2.12 46.06 ± 3.28 / 35.43 ± 3.06 51.51 ± 4.23 / 61.68 ± 4.43 27.68 ± 4.25 / 57.59 ± 5.15 57.78 ± 1.43 / 62.26 ± 1.36 10.0.1 10.0.1 10.0.1 10.0.1
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 4,687 ± 1,121 / 967 ± 313 2.13 46.31 ± 3.22 / 29.09 ± 2.52 51.29 ± 1.47 / 66.35 ± 1.70 25.70 ± 4.59 / 55.65 ± 5.87 59.79 ± 1.21 / 65.44 ± 0.76 12.6.1 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 2.14 58.03 ± 2.18 / 38.25 ± 2.31 46.63 ± 2.35 / 59.02 ± 3.07 15.09 ± 3.06 / 40.04 ± 1.77 62.15 ± 0.63 / 67.21 ± 0.55 12.5.3 12.5.3 12.5.3 12.5.3
AI-Sweden-Models/bert-large-nordic-pile-1M-steps 369 64 512 True 6,571 ± 1,331 / 1,493 ± 479 2.15 67.40 ± 1.01 / 62.44 ± 1.32 41.53 ± 1.91 / 59.82 ± 1.67 41.62 ± 10.78 / 68.99 ± 5.73 37.30 ± 1.59 / 42.46 ± 1.75 0.0.0 0.0.0 0.0.0 0.0.0
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) 8030 128 8192 False 5,018 ± 1,216 / 996 ± 324 2.15 51.37 ± 2.38 / 37.56 ± 2.50 52.17 ± 3.44 / 67.14 ± 2.61 27.98 ± 7.51 / 60.57 ± 5.72 51.65 ± 0.84 / 59.94 ± 0.78 12.7.0 12.7.0 12.7.0 12.7.0
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) 7242 32 32768 True 2,443 ± 458 / 750 ± 240 2.17 45.61 ± 3.06 / 35.04 ± 2.94 53.73 ± 3.06 / 67.51 ± 2.16 17.08 ± 5.36 / 52.62 ± 5.62 56.67 ± 1.19 / 61.18 ± 1.07 10.0.1 10.0.1 10.0.1 10.0.1
birgermoell/Rapid-Cycling (few-shot, val) 7242 32 32768 False 2,346 ± 450 / 666 ± 249 2.18 49.99 ± 2.62 / 38.37 ± 3.04 51.25 ± 2.70 / 62.67 ± 2.82 20.66 ± 5.69 / 49.98 ± 4.94 56.82 ± 1.75 / 62.40 ± 1.40 9.3.2 9.3.2 9.3.2 12.5.2
cardiffnlp/twitter-xlm-roberta-base 278 250 512 True 34,475 ± 7,465 / 6,712 ± 2,223 2.18 70.10 ± 1.16 / 64.54 ± 1.00 45.30 ± 2.03 / 63.22 ± 1.47 51.74 ± 2.53 / 74.31 ± 1.94 22.01 ± 2.50 / 27.76 ± 2.44 0.0.0 0.0.0 0.0.0 0.0.0
ltg/norbert3-small 41 50 508 True 13,515 ± 2,514 / 3,042 ± 1,004 2.19 67.89 ± 2.14 / 64.13 ± 1.94 39.34 ± 2.85 / 58.37 ± 3.66 50.90 ± 1.26 / 74.15 ± 0.81 34.82 ± 1.33 / 39.58 ± 1.59 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4096 True 1,979 ± 621 / 320 ± 105 2.19 52.22 ± 2.07 / 38.82 ± 1.90 50.66 ± 1.88 / 62.04 ± 2.83 23.57 ± 3.82 / 56.09 ± 4.62 53.82 ± 2.13 / 61.94 ± 1.63 12.7.0 12.7.0 12.7.0 12.7.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 2.20 57.74 ± 2.06 / 40.66 ± 2.58 48.43 ± 3.31 / 62.09 ± 3.62 27.12 ± 2.83 / 60.40 ± 2.70 46.76 ± 1.20 / 59.77 ± 0.51 12.6.1 12.6.1 12.6.1 12.6.1
timpal0l/sol (few-shot) 10732 32 4096 False 3,701 ± 876 / 771 ± 247 2.20 54.91 ± 1.53 / 36.29 ± 1.85 44.38 ± 2.83 / 57.19 ± 3.61 21.11 ± 3.23 / 45.43 ± 3.11 58.96 ± 1.71 / 65.85 ± 1.20 12.7.0 12.7.0 12.7.0 12.7.0
emillykkejensen/Llama-3-8B-instruct-dansk (few-shot) 8030 128 4096 False 967 ± 125 / 402 ± 116 2.21 41.74 ± 3.18 / 30.54 ± 2.87 50.07 ± 1.52 / 60.95 ± 2.42 24.49 ± 1.98 / 57.72 ± 2.71 59.29 ± 0.86 / 65.18 ± 0.54 12.9.1 12.9.1 12.9.1 12.9.1
Mabeck/Heidrun-Mistral-7B-chat (few-shot) 7242 32 32768 False 5,822 ± 1,283 / 1,336 ± 430 2.23 50.80 ± 2.33 / 34.04 ± 1.76 42.79 ± 2.38 / 54.47 ± 3.04 23.25 ± 3.17 / 56.31 ± 4.02 59.90 ± 0.84 / 65.47 ± 0.43 10.0.1 10.0.1 10.0.1 12.5.0
merge-crew/da-sv-ties (few-shot, val) 7242 32 32768 True 2,457 ± 451 / 757 ± 237 2.23 45.39 ± 2.46 / 34.45 ± 2.56 51.95 ± 2.65 / 65.69 ± 2.11 13.25 ± 6.27 / 45.66 ± 5.58 58.51 ± 1.35 / 62.73 ± 1.19 10.0.1 10.0.1 10.0.1 10.0.1
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.23 53.02 ± 2.85 / 41.35 ± 3.42 51.29 ± 3.42 / 66.57 ± 2.46 19.73 ± 4.11 / 57.07 ± 3.09 51.69 ± 2.29 / 61.26 ± 1.32 9.3.2 9.3.2 9.3.2 12.5.2
birgermoell/Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,887 ± 403 / 1,144 ± 345 2.24 47.71 ± 3.50 / 35.65 ± 3.07 48.21 ± 3.58 / 60.08 ± 3.41 19.55 ± 5.35 / 50.98 ± 5.74 56.46 ± 1.48 / 61.69 ± 1.28 9.3.1 9.3.1 9.3.1 12.5.2
facebook/xlm-v-base 778 902 512 True 25,396 ± 6,394 / 4,534 ± 1,421 2.25 71.42 ± 2.68 / 66.61 ± 1.99 31.86 ± 8.76 / 47.51 ± 8.94 52.95 ± 11.68 / 73.96 ± 8.89 34.66 ± 1.64 / 40.58 ± 1.63 0.0.0 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 2.26 47.01 ± 2.76 / 36.47 ± 3.27 50.60 ± 3.33 / 65.49 ± 2.38 13.73 ± 3.33 / 52.15 ± 3.17 56.35 ± 1.68 / 61.63 ± 1.33 12.5.2 12.3.2 12.3.2 12.3.2
Maltehb/danish-bert-botxo 111 32 512 True 16,091 ± 2,427 / 4,575 ± 1,485 2.26 66.71 ± 1.80 / 61.55 ± 1.75 43.79 ± 1.76 / 62.26 ± 1.35 45.96 ± 2.91 / 69.62 ± 1.72 26.29 ± 2.34 / 32.91 ± 2.60 0.0.0 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 2.26 64.28 ± 1.74 / 59.29 ± 1.54 36.85 ± 3.28 / 56.27 ± 3.98 63.55 ± 1.19 / 81.41 ± 0.64 24.52 ± 1.11 / 29.88 ± 1.13 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/bert-base-en-fr-de-no-da-cased 118 42 512 True 13,973 ± 3,205 / 2,725 ± 884 2.27 63.38 ± 2.39 / 59.20 ± 1.98 34.78 ± 1.49 / 55.59 ± 0.92 41.08 ± 7.28 / 69.77 ± 3.75 40.32 ± 0.81 / 44.89 ± 0.76 0.0.0 0.0.0 0.0.0 0.0.0
timpal0l/BeagleCatMunin2 (few-shot, val) 7242 32 32768 False 2,477 ± 459 / 767 ± 241 2.27 51.53 ± 2.82 / 40.66 ± 2.30 47.95 ± 3.02 / 55.70 ± 3.32 14.10 ± 3.79 / 40.80 ± 3.64 58.28 ± 1.98 / 64.33 ± 1.60 9.3.1 9.3.1 9.3.1 12.5.2
birgermoell/NeuralBeagle-Flashback (few-shot, val) 7242 32 32768 False 2,904 ± 405 / 1,155 ± 349 2.28 48.28 ± 2.73 / 36.42 ± 3.04 44.20 ± 2.63 / 53.54 ± 3.36 22.79 ± 5.54 / 54.63 ± 6.09 57.96 ± 0.80 / 63.50 ± 0.73 9.3.0 9.3.0 9.3.0 12.5.2
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) 7242 32 32768 False 3,008 ± 429 / 991 ± 323 2.29 50.83 ± 2.28 / 36.96 ± 2.58 43.41 ± 2.56 / 48.74 ± 2.83 19.72 ± 4.69 / 52.71 ± 5.26 57.87 ± 2.32 / 64.53 ± 1.73 9.3.2 9.3.2 9.3.2 12.5.2
danish-foundation-models/encoder-medium-v1 111 32 512 True 16,130 ± 2,433 / 4,566 ± 1,473 2.29 63.42 ± 1.89 / 58.69 ± 2.54 39.91 ± 1.78 / 58.47 ± 2.16 51.01 ± 10.50 / 74.54 ± 5.83 25.76 ± 2.11 / 31.49 ± 1.94 0.0.0 0.0.0 0.0.0 0.0.0
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.29 52.61 ± 1.77 / 33.64 ± 2.67 49.81 ± 1.43 / 66.32 ± 1.25 19.64 ± 1.63 / 54.22 ± 2.32 48.03 ± 1.24 / 57.94 ± 1.02 12.6.1 12.6.1 12.6.1 12.6.1
timpal0l/Llama-3-8B-flashback-v1 (few-shot) 8030 128 8192 True 4,807 ± 1,152 / 979 ± 319 2.30 46.59 ± 4.16 / 31.16 ± 3.95 50.25 ± 1.25 / 66.18 ± 1.01 14.46 ± 2.48 / 50.96 ± 4.22 56.86 ± 1.23 / 62.50 ± 0.92 12.7.0 12.7.0 12.7.0 12.7.0
jannikskytt/MeDa-Bert 111 32 511 True 16,114 ± 2,429 / 4,566 ± 1,482 2.31 64.64 ± 1.72 / 59.54 ± 1.83 44.62 ± 1.38 / 62.33 ± 1.20 47.47 ± 8.03 / 70.55 ± 4.26 23.14 ± 1.59 / 29.91 ± 1.40 0.0.0 0.0.0 0.0.0 0.0.0
google-bert/bert-base-multilingual-uncased 167 106 512 True 13,993 ± 3,217 / 2,752 ± 893 2.34 64.92 ± 2.17 / 60.82 ± 1.86 33.50 ± 2.57 / 54.63 ± 2.14 46.75 ± 3.43 / 72.71 ± 2.11 37.09 ± 2.08 / 41.77 ± 2.25 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/bert-base-en-no-cased 111 33 512 True 14,081 ± 3,231 / 2,748 ± 891 2.36 62.66 ± 1.84 / 58.60 ± 1.78 33.91 ± 1.43 / 54.87 ± 1.38 40.96 ± 4.05 / 69.68 ± 2.12 39.93 ± 2.55 / 44.63 ± 2.71 0.0.0 0.0.0 0.0.0 0.0.0
microsoft/infoxlm-large 560 250 512 True 6,696 ± 1,260 / 1,630 ± 515 2.36 74.42 ± 1.81 / 69.54 ± 1.52 37.94 ± 10.08 / 55.77 ± 9.21 15.26 ± 10.94 / 48.92 ± 8.26 44.25 ± 2.55 / 50.10 ± 2.75 0.0.0 0.0.0 0.0.0 0.0.0
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) 7242 32 32768 True 2,515 ± 465 / 785 ± 247 2.37 46.03 ± 3.93 / 34.23 ± 2.86 49.59 ± 3.26 / 63.45 ± 2.61 12.72 ± 3.51 / 46.56 ± 5.33 57.03 ± 1.13 / 61.58 ± 1.01 10.0.1 10.0.1 10.0.1 10.0.1
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.37 52.72 ± 2.21 / 39.49 ± 3.47 49.11 ± 3.91 / 64.78 ± 2.61 16.09 ± 3.74 / 54.94 ± 2.92 46.28 ± 1.53 / 56.13 ± 1.09 12.5.2 12.5.2 12.5.2 12.5.2
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) 7242 32 32768 False 2,518 ± 463 / 779 ± 243 2.37 46.11 ± 3.27 / 28.75 ± 2.13 47.58 ± 1.41 / 63.81 ± 1.28 18.41 ± 2.11 / 57.44 ± 2.11 52.78 ± 1.15 / 60.80 ± 0.59 9.2.0 9.2.0 9.2.0 12.4.0
KennethEnevoldsen/munin_mistral-7b (few-shot, val) 7242 32 32768 False 2,543 ± 466 / 787 ± 247 2.39 46.70 ± 3.49 / 36.30 ± 2.65 47.52 ± 3.90 / 55.98 ± 4.69 8.04 ± 5.32 / 36.02 ± 2.59 60.05 ± 1.30 / 64.15 ± 1.20 12.5.2 12.3.1 12.3.1 12.3.2
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 2.39 43.65 ± 2.87 / 32.21 ± 2.13 45.86 ± 1.63 / 61.89 ± 1.57 15.19 ± 3.67 / 46.19 ± 5.60 59.14 ± 0.90 / 64.43 ± 0.58 12.5.2 12.5.1 12.5.1 12.5.1
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.39 44.89 ± 2.46 / 29.13 ± 1.92 48.09 ± 1.00 / 65.40 ± 0.75 19.06 ± 2.34 / 58.77 ± 1.37 51.56 ± 1.16 / 60.81 ± 0.74 9.2.0 9.2.0 9.3.1 12.4.0
KBLab/megatron-bert-large-swedish-cased-165k 370 64 512 True 7,138 ± 1,111 / 2,067 ± 660 2.40 58.50 ± 4.21 / 55.82 ± 3.50 41.02 ± 1.64 / 60.13 ± 1.52 27.10 ± 3.59 / 61.03 ± 2.41 39.99 ± 1.25 / 45.72 ± 1.27 0.0.0 0.0.0 0.0.0 0.0.0
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) 7242 32 32768 False 3,006 ± 479 / 1,053 ± 319 2.40 45.37 ± 2.53 / 28.99 ± 2.18 39.63 ± 1.90 / 46.93 ± 2.68 21.77 ± 3.54 / 47.96 ± 4.57 58.28 ± 0.73 / 64.76 ± 0.47 11.0.0 11.0.0 11.0.0 12.4.0
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 2.40 42.43 ± 3.36 / 29.30 ± 2.53 47.82 ± 2.00 / 63.19 ± 2.09 16.51 ± 2.59 / 52.73 ± 3.91 56.95 ± 1.21 / 62.20 ± 0.83 12.5.3 12.5.3 12.5.3 12.5.3
timpal0l/njord-alpha (few-shot) 7242 32 32768 True 5,431 ± 1,267 / 1,139 ± 365 2.40 38.25 ± 3.75 / 28.14 ± 3.06 39.37 ± 2.09 / 56.57 ± 1.90 29.76 ± 3.24 / 61.80 ± 2.22 57.02 ± 1.28 / 63.16 ± 0.90 12.7.0 12.7.0 12.7.0 12.7.0
ZurichNLP/unsup-simcse-xlm-roberta-base 278 250 512 True 34,520 ± 7,443 / 6,730 ± 2,224 2.42 65.10 ± 1.65 / 61.96 ± 1.26 45.07 ± 1.23 / 63.33 ± 0.78 26.83 ± 11.38 / 60.41 ± 6.66 29.92 ± 1.25 / 35.05 ± 1.16 12.6.1 12.6.1 12.6.1 0.0.0
sentence-transformers/paraphrase-xlm-r-multilingual-v1 278 250 512 True 20,154 ± 4,438 / 3,890 ± 1,256 2.44 61.17 ± 2.09 / 58.41 ± 2.11 46.39 ± 1.25 / 63.97 ± 1.08 38.61 ± 1.86 / 67.08 ± 1.08 19.90 ± 1.09 / 25.77 ± 1.12 0.0.0 0.0.0 0.0.0 0.0.0
AI-Nordics/bert-large-swedish-cased 335 31 512 True 7,199 ± 1,139 / 2,051 ± 651 2.45 60.66 ± 1.45 / 56.95 ± 1.66 38.46 ± 1.17 / 58.16 ± 0.95 32.29 ± 5.92 / 63.74 ± 3.44 37.68 ± 1.06 / 43.21 ± 1.09 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/bert-base-en-da-cased 111 33 512 True 14,062 ± 3,216 / 2,733 ± 885 2.46 62.57 ± 1.98 / 59.39 ± 2.04 33.67 ± 1.54 / 54.48 ± 1.19 35.79 ± 9.58 / 65.87 ± 5.46 38.77 ± 2.23 / 43.26 ± 2.39 0.0.0 0.0.0 0.0.0 0.0.0
KBLab/megatron-bert-large-swedish-cased-110k 370 64 512 True 7,075 ± 1,093 / 2,057 ± 661 2.46 60.18 ± 2.71 / 57.15 ± 2.47 39.20 ± 1.69 / 59.33 ± 1.23 26.68 ± 3.38 / 59.41 ± 2.16 39.34 ± 0.84 / 44.87 ± 0.79 0.0.0 0.0.0 0.0.0 0.0.0
google/gemma-7b (few-shot) 8538 256 8192 True 1,378 ± 260 / 387 ± 119 2.46 19.59 ± 2.54 / 15.47 ± 2.19 46.55 ± 1.89 / 59.52 ± 3.56 32.64 ± 2.91 / 63.84 ± 1.69 59.40 ± 1.02 / 64.81 ± 0.91 12.9.1 12.9.1 12.9.1 12.9.1
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 2.46 45.42 ± 2.88 / 32.66 ± 2.49 43.16 ± 1.69 / 54.53 ± 2.83 8.79 ± 3.23 / 38.38 ± 4.22 59.43 ± 1.04 / 64.55 ± 0.68 0.0.0 0.0.0 0.0.0 12.5.1
Mabeck/Heidrun-Mistral-7B-base (few-shot) 7242 32 32768 True 3,823 ± 967 / 860 ± 280 2.47 40.14 ± 2.41 / 28.08 ± 1.67 39.38 ± 1.56 / 49.16 ± 2.84 21.85 ± 3.24 / 53.75 ± 4.63 58.07 ± 1.13 / 63.63 ± 0.69 11.0.0 11.0.0 11.0.0 11.0.0
danish-foundation-models/munin-7b-alpha (few-shot) 7242 32 32768 True 6,116 ± 1,049 / 1,784 ± 577 2.47 40.60 ± 2.25 / 28.71 ± 1.42 36.89 ± 2.27 / 43.77 ± 2.64 26.41 ± 5.40 / 53.03 ± 6.56 57.81 ± 1.11 / 63.44 ± 0.81 12.5.2 12.4.0 12.4.0 12.4.0
microsoft/xlm-align-base 278 250 512 True 14,744 ± 2,870 / 3,265 ± 1,053 2.47 70.36 ± 2.14 / 65.91 ± 2.15 47.83 ± 1.46 / 65.49 ± 0.96 11.87 ± 5.47 / 48.82 ± 4.15 29.87 ± 3.18 / 35.11 ± 2.73 0.0.0 0.0.0 0.0.0 0.0.0
sentence-transformers/paraphrase-multilingual-mpnet-base-v2 278 250 512 True 15,100 ± 3,019 / 3,369 ± 1,103 2.47 61.18 ± 1.22 / 57.94 ± 1.56 49.13 ± 0.82 / 65.84 ± 0.66 29.66 ± 7.69 / 63.05 ± 4.35 19.99 ± 1.65 / 26.42 ± 1.77 0.0.0 0.0.0 0.0.0 0.0.0
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) 7242 32 8192 True 6,113 ± 1,044 / 1,790 ± 579 2.48 39.12 ± 4.28 / 28.74 ± 2.75 36.47 ± 4.90 / 50.72 ± 6.21 26.76 ± 4.78 / 57.02 ± 5.13 58.75 ± 1.19 / 64.41 ± 0.77 12.5.2 12.4.0 12.4.0 12.4.0
Geotrend/bert-base-25lang-cased 151 85 512 True 13,908 ± 3,201 / 2,700 ± 872 2.49 62.53 ± 2.60 / 58.99 ± 2.88 32.88 ± 1.24 / 53.56 ± 1.47 29.01 ± 11.25 / 61.89 ± 6.94 39.51 ± 1.53 / 44.11 ± 1.58 0.0.0 0.0.0 0.0.0 0.0.0
Twitter/twhin-bert-base 279 250 512 True 11,514 ± 2,041 / 2,862 ± 918 2.49 60.01 ± 2.63 / 56.13 ± 2.46 42.17 ± 1.64 / 61.25 ± 1.45 29.43 ± 13.02 / 62.08 ± 7.77 29.79 ± 3.33 / 34.82 ± 2.83 12.6.1 0.0.0 0.0.0 0.0.0
bineric/NorskGPT-Llama3-8b (few-shot) 8030 128 8192 False 3,695 ± 1,277 / 532 ± 183 2.49 51.40 ± 3.08 / 37.70 ± 3.28 42.13 ± 0.57 / 45.91 ± 0.39 3.91 ± 2.02 / 34.38 ± 0.47 57.81 ± 1.03 / 66.28 ± 0.48 12.7.0 12.7.0 12.7.0 12.7.0
jonfd/electra-small-nordic 22 96 128 True 5,989 ± 120 / 3,809 ± 1,230 2.49 65.40 ± 2.02 / 60.53 ± 1.65 34.43 ± 4.13 / 51.90 ± 6.17 67.27 ± 1.04 / 83.37 ± 0.64 6.60 ± 2.98 / 7.09 ± 3.29 0.0.0 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 2.50 43.17 ± 2.78 / 31.37 ± 2.95 43.40 ± 2.20 / 57.24 ± 3.52 11.08 ± 2.98 / 43.40 ± 4.66 56.81 ± 0.70 / 63.10 ± 0.35 9.3.1 9.3.1 9.3.1 9.3.1
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) 7242 32 32768 False 2,903 ± 407 / 1,157 ± 350 2.50 51.85 ± 3.08 / 40.02 ± 2.48 44.02 ± 2.44 / 47.74 ± 1.98 1.22 ± 4.99 / 34.29 ± 1.62 57.69 ± 2.29 / 64.09 ± 1.68 9.3.1 9.3.1 9.3.1 12.5.2
birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) 7242 32 32768 False 2,856 ± 391 / 1,142 ± 342 2.50 51.85 ± 3.08 / 40.02 ± 2.48 44.02 ± 2.44 / 47.74 ± 1.98 1.22 ± 4.99 / 34.29 ± 1.62 57.69 ± 2.29 / 64.09 ± 1.68 9.3.1 9.3.1 9.3.1 12.5.2
mhenrichsen/hestenettetLM (few-shot) 7242 32 32768 True 5,160 ± 804 / 1,654 ± 516 2.50 44.90 ± 3.15 / 31.91 ± 2.65 42.61 ± 1.79 / 53.47 ± 3.00 8.65 ± 3.44 / 38.18 ± 4.21 59.62 ± 1.12 / 64.70 ± 0.75 12.5.2 12.3.2 12.3.2 12.3.2
flax-community/nordic-roberta-wiki 125 50 512 True 16,227 ± 2,650 / 4,252 ± 1,393 2.51 60.82 ± 2.03 / 57.64 ± 2.08 34.45 ± 0.78 / 55.56 ± 0.68 41.89 ± 9.80 / 70.04 ± 5.10 26.83 ± 1.26 / 31.55 ± 1.26 0.0.0 0.0.0 0.0.0 0.0.0
google-bert/bert-base-multilingual-cased 178 120 512 True 14,083 ± 3,264 / 2,738 ± 889 2.51 63.17 ± 2.79 / 59.45 ± 2.58 32.38 ± 1.72 / 53.30 ± 1.79 27.93 ± 11.48 / 61.91 ± 6.69 39.57 ± 1.18 / 44.06 ± 1.25 0.0.0 0.0.0 0.0.0 0.0.0
jhu-clsp/bernice 278 250 512 True 5,567 ± 450 / 2,483 ± 798 2.51 61.98 ± 2.00 / 58.30 ± 2.12 47.20 ± 1.34 / 64.51 ± 1.21 40.52 ± 7.38 / 67.99 ± 3.84 13.53 ± 4.79 / 15.93 ± 5.58 0.0.0 0.0.0 0.0.0 0.0.0
clips/mfaq 278 250 128 True 5,591 ± 187 / 3,349 ± 1,105 2.52 68.49 ± 2.09 / 64.72 ± 2.02 45.60 ± 1.76 / 63.53 ± 1.48 28.26 ± 11.88 / 55.28 ± 7.93 14.34 ± 3.95 / 18.60 ± 5.02 0.0.0 0.0.0 0.0.0 0.0.0
microsoft/infoxlm-base 278 250 512 True 34,735 ± 7,558 / 6,846 ± 2,312 2.52 69.78 ± 1.59 / 65.83 ± 2.08 46.78 ± 1.57 / 64.46 ± 1.17 11.27 ± 2.21 / 51.47 ± 2.07 28.28 ± 4.63 / 33.33 ± 4.10 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/bert-base-da-cased 104 23 512 True 15,432 ± 2,838 / 3,642 ± 1,189 2.53 62.76 ± 1.92 / 58.88 ± 1.74 32.06 ± 1.44 / 52.57 ± 1.80 30.95 ± 11.93 / 63.72 ± 6.84 37.79 ± 2.37 / 42.36 ± 2.56 0.0.0 0.0.0 0.0.0 0.0.0
sarnikowski/electra-small-discriminator-da-256-cased 13 29 512 True 20,340 ± 3,185 / 5,178 ± 1,700 2.54 60.63 ± 1.32 / 56.90 ± 1.49 24.38 ± 1.74 / 40.85 ± 3.07 68.58 ± 1.38 / 84.12 ± 0.69 21.03 ± 1.09 / 27.53 ± 0.88 0.0.0 0.0.0 0.0.0 0.0.0
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 2.55 38.39 ± 3.57 / 24.87 ± 2.52 49.44 ± 1.03 / 66.00 ± 0.88 7.50 ± 2.07 / 47.53 ± 4.03 51.24 ± 1.09 / 57.72 ± 0.98 12.5.2 12.3.2 12.3.2 12.4.0
sarnikowski/convbert-small-da-cased 13 29 512 True 14,273 ± 2,312 / 3,555 ± 1,187 2.57 60.59 ± 1.84 / 57.31 ± 1.47 29.52 ± 2.89 / 47.81 ± 4.54 57.10 ± 2.02 / 78.14 ± 1.10 20.16 ± 0.73 / 25.69 ± 0.60 0.0.0 0.0.0 0.0.0 0.0.0
DDSC/roberta-base-danish 125 50 512 True 15,004 ± 2,964 / 3,290 ± 1,092 2.58 63.84 ± 1.73 / 59.85 ± 1.44 43.90 ± 1.50 / 62.31 ± 0.96 17.16 ± 13.94 / 56.47 ± 7.34 26.94 ± 1.16 / 31.50 ± 1.03 0.0.0 0.0.0 0.0.0 0.0.0
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 2.60 41.63 ± 2.33 / 28.51 ± 2.43 47.73 ± 1.52 / 60.64 ± 2.33 0.00 ± 0.00 / 33.41 ± 0.23 54.25 ± 0.85 / 61.70 ± 0.71 12.5.2 12.3.2 12.3.2 12.3.2
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 2.60 35.44 ± 3.00 / 24.63 ± 1.65 44.88 ± 1.45 / 62.35 ± 1.33 9.74 ± 1.96 / 47.42 ± 4.19 55.04 ± 0.79 / 61.34 ± 0.81 9.3.1 9.3.1 9.3.1 12.4.0
KB/bert-base-swedish-cased 125 50 512 True 16,181 ± 2,451 / 4,620 ± 1,507 2.61 61.74 ± 1.46 / 58.09 ± 1.52 33.28 ± 1.65 / 54.37 ± 1.44 33.15 ± 7.14 / 64.69 ± 4.47 28.67 ± 0.79 / 33.03 ± 0.87 0.0.0 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 2.61 61.74 ± 1.46 / 58.09 ± 1.52 33.31 ± 1.49 / 54.09 ± 1.49 33.35 ± 7.32 / 64.61 ± 4.56 28.67 ± 0.79 / 33.03 ± 0.87 0.0.0 0.0.0 0.0.0 0.0.0
bineric/NorskGPT-Mistral-7b (few-shot) 7242 32 32768 False 2,443 ± 451 / 761 ± 237 2.61 50.76 ± 1.60 / 32.89 ± 2.11 40.41 ± 0.79 / 44.17 ± 0.56 0.00 ± 0.00 / 33.41 ± 0.23 57.26 ± 0.79 / 63.80 ± 0.52 9.3.1 9.3.1 9.3.1 12.5.1
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.61 37.93 ± 2.71 / 23.54 ± 1.99 44.49 ± 2.56 / 60.64 ± 3.00 14.09 ± 2.94 / 42.43 ± 3.30 51.38 ± 2.31 / 58.78 ± 1.27 9.3.1 9.3.1 9.3.1 12.4.0
KBLab/megatron-bert-base-swedish-cased-600k 135 64 512 True 15,726 ± 2,508 / 4,234 ± 1,365 2.62 57.97 ± 1.64 / 54.71 ± 1.72 39.40 ± 1.14 / 59.02 ± 0.60 23.50 ± 1.86 / 59.54 ± 1.34 31.87 ± 2.77 / 36.99 ± 2.78 0.0.0 0.0.0 0.0.0 0.0.0
sentence-transformers/stsb-xlm-r-multilingual 278 250 512 True 15,040 ± 2,953 / 3,417 ± 1,100 2.62 58.52 ± 1.78 / 55.04 ± 1.60 42.26 ± 1.13 / 61.41 ± 0.76 34.80 ± 5.89 / 64.51 ± 4.90 19.60 ± 1.60 / 25.68 ± 1.48 0.0.0 0.0.0 0.0.0 0.0.0
DDSC/roberta-base-scandinavian 125 50 512 True 14,491 ± 2,800 / 3,182 ± 1,026 2.63 43.90 ± 15.70 / 41.25 ± 14.74 44.48 ± 5.85 / 62.62 ± 4.55 30.37 ± 17.09 / 63.92 ± 8.38 28.89 ± 1.91 / 33.71 ± 1.54 0.0.0 0.0.0 0.0.0 0.0.0
jjzha/dajobbert-base-uncased 110 32 512 True 16,243 ± 2,428 / 4,593 ± 1,484 2.63 60.78 ± 1.12 / 55.74 ± 1.15 39.65 ± 1.31 / 59.23 ± 0.94 37.67 ± 7.20 / 65.47 ± 3.22 15.41 ± 3.05 / 22.46 ± 2.81 0.0.0 0.0.0 0.0.0 0.0.0
Twitter/twhin-bert-large 561 250 512 True 9,707 ± 1,664 / 2,549 ± 831 2.64 66.39 ± 1.42 / 62.24 ± 1.29 39.36 ± 3.13 / 58.64 ± 2.64 7.06 ± 6.11 / 49.71 ± 4.63 33.88 ± 4.27 / 38.42 ± 4.16 0.0.0 0.0.0 0.0.0 0.0.0
LumiOpen/Viking-33B (few-shot) 33119 131 4099 True 2,080 ± 700 / 331 ± 117 2.65 34.22 ± 2.47 / 22.52 ± 1.93 45.05 ± 2.49 / 62.23 ± 1.84 9.40 ± 2.63 / 44.83 ± 4.69 54.92 ± 1.00 / 60.33 ± 0.76 12.9.0 12.9.0 12.9.0 12.9.0
Maltehb/aelaectra-danish-electra-small-cased 14 32 128 True 4,593 ± 114 / 3,034 ± 973 2.65 63.31 ± 1.75 / 58.18 ± 1.78 32.72 ± 2.91 / 49.84 ± 4.90 67.74 ± 1.33 / 83.32 ± 0.71 0.00 ± 0.00 / 0.00 ± 0.00 0.0.0 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 2.66 62.52 ± 1.33 / 57.14 ± 1.29 34.45 ± 3.16 / 51.40 ± 5.12 65.15 ± 0.81 / 82.32 ± 0.45 2.51 ± 2.06 / 2.75 ± 2.29 0.0.0 0.0.0 0.0.0 0.0.0
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) 7242 32 32768 True 2,461 ± 476 / 773 ± 248 2.66 30.16 ± 4.47 / 25.03 ± 3.01 48.49 ± 2.41 / 63.06 ± 1.91 5.52 ± 4.66 / 38.81 ± 4.27 52.44 ± 1.32 / 57.22 ± 1.44 10.0.1 10.0.1 10.0.1 10.0.1
norallm/normistral-7b-warm-instruct (few-shot) unknown 33 2048 True 6,194 ± 949 / 1,967 ± 619 2.66 39.83 ± 2.18 / 25.99 ± 1.56 47.48 ± 2.00 / 63.93 ± 1.86 4.55 ± 2.34 / 42.91 ± 4.05 49.23 ± 0.63 / 57.45 ± 0.53 12.6.1 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/gpt-sw3-40b (few-shot) 39927 64 2048 True 409 ± 53 / 182 ± 54 2.67 26.57 ± 5.22 / 17.35 ± 2.79 47.81 ± 1.32 / 64.26 ± 1.28 11.13 ± 2.06 / 51.34 ± 3.02 53.78 ± 0.70 / 60.13 ± 0.69 12.9.0 12.9.0 12.9.0 12.9.0
Geotrend/distilbert-base-en-da-cased 69 33 512 True 26,196 ± 5,956 / 5,220 ± 1,691 2.67 59.50 ± 1.45 / 56.28 ± 1.67 31.89 ± 1.59 / 53.99 ± 1.22 36.00 ± 2.27 / 67.38 ± 1.56 28.41 ± 1.26 / 33.19 ± 1.40 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/distilbert-base-en-fr-de-no-da-cased 76 42 512 True 26,081 ± 5,875 / 5,209 ± 1,692 2.67 58.78 ± 1.75 / 55.50 ± 1.82 31.30 ± 1.80 / 52.43 ± 1.61 34.92 ± 2.74 / 66.69 ± 2.11 27.86 ± 1.51 / 32.53 ± 1.36 0.0.0 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 2.68 40.19 ± 2.55 / 29.73 ± 1.44 42.31 ± 1.55 / 59.29 ± 2.00 1.14 ± 1.22 / 33.83 ± 0.72 57.89 ± 1.16 / 63.95 ± 0.82 12.5.2 12.2.0 12.3.1 12.4.0
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 2.69 35.96 ± 2.61 / 28.58 ± 2.58 42.04 ± 1.42 / 60.76 ± 1.41 8.65 ± 1.52 / 49.56 ± 3.60 53.68 ± 0.94 / 59.73 ± 0.86 12.5.2 10.0.1 12.1.0 12.5.2
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 2.69 37.93 ± 3.09 / 29.50 ± 2.18 44.62 ± 1.98 / 62.62 ± 1.54 0.28 ± 0.54 / 33.48 ± 0.24 58.05 ± 1.02 / 62.89 ± 0.89 12.5.2 12.1.0 12.1.0 12.1.0
Geotrend/distilbert-base-25lang-cased 109 85 512 True 26,099 ± 5,881 / 5,178 ± 1,665 2.70 58.44 ± 2.08 / 55.32 ± 1.81 31.81 ± 1.65 / 53.25 ± 1.65 34.13 ± 2.81 / 65.98 ± 2.30 27.60 ± 1.58 / 32.18 ± 1.64 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/distilbert-base-da-cased 61 23 512 True 28,950 ± 5,114 / 7,010 ± 2,267 2.70 58.36 ± 1.69 / 55.30 ± 1.49 32.13 ± 1.52 / 53.89 ± 1.25 34.75 ± 1.55 / 65.89 ± 1.56 27.50 ± 1.21 / 32.16 ± 1.28 0.0.0 0.0.0 0.0.0 0.0.0
distilbert/distilbert-base-multilingual-cased 135 120 512 True 26,355 ± 5,946 / 5,266 ± 1,714 2.70 58.12 ± 1.30 / 54.97 ± 1.45 32.53 ± 1.39 / 54.09 ± 1.00 35.53 ± 2.54 / 66.86 ± 1.87 28.19 ± 1.93 / 32.96 ± 1.90 0.0.0 0.0.0 0.0.0 0.0.0
LumiOpen/Viking-13B (few-shot) 14030 131 4099 True 3,530 ± 748 / 829 ± 277 2.71 32.12 ± 2.72 / 22.20 ± 2.85 47.92 ± 1.15 / 63.55 ± 1.65 2.79 ± 1.58 / 42.82 ± 3.40 53.86 ± 0.73 / 59.73 ± 0.64 12.7.0 12.7.0 12.7.0 12.7.0
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 118 250 512 True 29,201 ± 6,282 / 6,045 ± 2,027 2.71 56.75 ± 1.91 / 53.43 ± 1.87 44.48 ± 1.32 / 63.11 ± 0.83 26.74 ± 1.94 / 62.19 ± 1.84 17.89 ± 1.00 / 25.53 ± 1.05 0.0.0 0.0.0 0.0.0 0.0.0
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) 7242 32 32768 False 5,172 ± 813 / 1,647 ± 518 2.71 37.02 ± 5.66 / 27.64 ± 3.92 40.65 ± 2.10 / 57.47 ± 2.56 7.48 ± 2.51 / 46.56 ± 4.52 52.71 ± 0.70 / 59.07 ± 0.65 12.5.2 12.3.2 12.3.2 12.4.0
Geotrend/distilbert-base-en-no-cased 69 33 512 True 26,597 ± 6,036 / 5,271 ± 1,697 2.72 57.53 ± 1.89 / 54.43 ± 1.91 32.95 ± 0.82 / 54.57 ± 0.80 33.63 ± 2.63 / 65.69 ± 1.82 27.21 ± 1.31 / 32.05 ± 1.23 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 2.74 31.77 ± 3.29 / 22.31 ± 2.29 43.91 ± 1.94 / 61.54 ± 2.33 0.31 ± 0.61 / 33.43 ± 0.23 58.44 ± 0.83 / 63.54 ± 0.66 9.2.0 9.2.0 9.2.0 12.5.1
KBLab/megatron-bert-base-swedish-cased-125k 135 64 512 True 15,763 ± 2,523 / 4,238 ± 1,370 2.80 53.93 ± 1.88 / 52.04 ± 1.64 36.31 ± 1.60 / 57.37 ± 1.15 23.46 ± 1.17 / 58.91 ± 1.36 27.85 ± 2.53 / 34.34 ± 2.51 0.0.0 0.0.0 0.0.0 0.0.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 2.80 32.28 ± 3.16 / 23.24 ± 3.51 39.62 ± 2.39 / 56.09 ± 2.89 5.38 ± 2.18 / 36.31 ± 1.96 54.16 ± 0.89 / 60.63 ± 0.75 12.5.2 10.0.1 12.1.0 12.1.0
flax-community/swe-roberta-wiki-oscar 125 50 512 True 15,437 ± 2,628 / 3,834 ± 1,252 2.80 55.98 ± 2.24 / 52.41 ± 1.98 36.66 ± 1.27 / 57.48 ± 0.82 22.69 ± 5.37 / 59.46 ± 3.21 24.81 ± 1.85 / 29.08 ± 1.74 0.0.0 0.0.0 0.0.0 0.0.0
HPLT/gpt-33b-nordic-prerelease (few-shot) 33119 131 4099 True 501 ± 50 / 238 ± 69 2.82 25.35 ± 3.59 / 17.77 ± 2.25 44.70 ± 1.80 / 60.56 ± 2.77 1.43 ± 1.60 / 34.16 ± 1.04 52.29 ± 0.96 / 58.32 ± 0.75 12.9.1 12.9.1 12.10.0 12.10.0
norallm/normistral-7b-warm (few-shot) 7248 33 2048 True 3,175 ± 456 / 1,186 ± 354 2.83 37.80 ± 2.75 / 24.74 ± 2.30 40.51 ± 1.75 / 55.84 ± 2.46 3.35 ± 1.84 / 44.60 ± 4.67 49.08 ± 1.74 / 55.58 ± 1.57 11.0.0 11.0.0 11.0.0 11.0.0
mideind/IceBERT-xlmr-ic3 278 250 512 True 11,004 ± 2,244 / 2,324 ± 761 2.85 58.49 ± 1.50 / 56.15 ± 1.57 37.47 ± 2.55 / 56.94 ± 3.79 6.71 ± 5.56 / 45.62 ± 6.46 30.60 ± 1.23 / 35.52 ± 1.09 12.7.0 12.7.0 12.7.0 12.7.0
google/gemma-7b-it (few-shot) 8538 256 8192 False 1,792 ± 249 / 668 ± 203 2.89 43.83 ± 1.93 / 34.03 ± 1.59 29.21 ± 1.92 / 52.86 ± 1.54 12.96 ± 1.67 / 55.83 ± 0.88 49.76 ± 0.59 / 56.52 ± 0.50 12.7.0 12.7.0 12.7.0 12.7.0
ltg/norbert3-xs 15 50 508 True 14,208 ± 2,713 / 3,059 ± 1,002 2.94 59.94 ± 2.06 / 58.86 ± 1.85 39.16 ± 1.75 / 58.91 ± 1.21 2.16 ± 1.61 / 48.93 ± 2.35 24.69 ± 1.58 / 28.57 ± 1.42 0.0.0 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 2.97 59.37 ± 1.94 / 57.15 ± 1.78 38.46 ± 0.77 / 58.57 ± 0.67 4.61 ± 2.95 / 49.70 ± 2.34 23.13 ± 2.72 / 28.47 ± 2.30 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 3.00 27.41 ± 3.48 / 19.03 ± 1.76 30.24 ± 3.46 / 41.07 ± 4.41 11.34 ± 2.73 / 46.62 ± 5.48 52.80 ± 0.68 / 59.56 ± 0.57 9.3.1 9.3.1 9.3.1 9.3.1
Addedk/mbert-swedish-distilled-cased 135 120 512 True 26,091 ± 5,835 / 5,209 ± 1,690 3.00 56.36 ± 1.95 / 53.98 ± 1.92 31.16 ± 2.06 / 52.25 ± 2.48 21.08 ± 2.54 / 56.96 ± 2.74 19.63 ± 2.13 / 23.61 ± 2.07 0.0.0 0.0.0 0.0.0 0.0.0
HPLT/gpt-13b-nordic-prerelease (few-shot) 14030 131 4099 True 3,520 ± 736 / 823 ± 273 3.00 28.72 ± 2.61 / 20.53 ± 2.46 37.19 ± 3.92 / 53.63 ± 4.06 2.96 ± 1.73 / 46.67 ± 3.16 49.53 ± 1.49 / 54.83 ± 1.67 12.6.1 12.6.1 12.6.1 12.6.1
Addedk/kbbert-distilled-cased 82 50 512 True 29,698 ± 4,287 / 8,677 ± 2,776 3.02 57.84 ± 1.47 / 54.75 ± 1.23 31.18 ± 0.94 / 53.05 ± 1.16 13.25 ± 3.71 / 53.61 ± 2.94 22.73 ± 1.16 / 27.50 ± 1.00 0.0.0 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 3.04 23.98 ± 3.74 / 17.18 ± 2.86 38.74 ± 2.15 / 49.48 ± 3.14 1.04 ± 1.57 / 33.67 ± 0.22 50.17 ± 0.92 / 56.29 ± 0.78 12.7.0 12.7.0 12.7.0 12.7.0
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.04 19.97 ± 3.91 / 16.51 ± 3.20 40.21 ± 1.00 / 46.73 ± 1.82 2.27 ± 2.39 / 38.71 ± 4.03 50.55 ± 1.22 / 56.27 ± 1.09 12.5.2 12.1.0 12.1.0 12.1.0
birgermoell/roberta-swedish-scandi 125 50 512 True 15,385 ± 2,815 / 3,578 ± 1,177 3.07 49.22 ± 1.85 / 47.83 ± 1.59 33.51 ± 1.46 / 54.93 ± 1.21 12.08 ± 8.71 / 54.24 ± 4.71 24.49 ± 1.67 / 28.88 ± 1.71 0.0.0 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 3.12 21.98 ± 3.33 / 18.42 ± 2.62 37.77 ± 3.06 / 55.35 ± 4.51 1.26 ± 1.86 / 34.03 ± 0.86 46.03 ± 1.44 / 52.54 ± 1.95 12.5.2 12.3.2 12.3.2 12.3.2
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 3.13 4.51 ± 2.12 / 3.71 ± 1.76 40.85 ± 1.26 / 59.79 ± 1.32 5.43 ± 1.74 / 46.21 ± 4.13 51.76 ± 0.73 / 58.44 ± 0.54 12.9.1 12.9.1 12.9.1 12.9.1
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) 20918 64 2048 True 1,831 ± 587 / 268 ± 90 3.14 15.94 ± 1.59 / 14.05 ± 1.45 32.78 ± 4.04 / 47.79 ± 5.25 7.86 ± 1.87 / 41.91 ± 2.25 52.16 ± 0.84 / 60.27 ± 0.51 9.3.1 9.3.1 9.3.1 9.3.1
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking 135 120 512 True 33,753 ± 8,349 / 5,937 ± 1,946 3.14 54.48 ± 2.16 / 52.85 ± 2.28 36.60 ± 1.60 / 56.93 ± 1.48 8.84 ± 5.33 / 51.76 ± 3.80 15.42 ± 1.70 / 21.36 ± 1.94 0.0.0 0.0.0 0.0.0 0.0.0
sentence-transformers/quora-distilbert-multilingual 135 120 512 True 26,458 ± 5,992 / 5,274 ± 1,731 3.14 54.48 ± 2.16 / 52.85 ± 2.28 36.60 ± 1.60 / 56.93 ± 1.48 8.84 ± 5.33 / 51.76 ± 3.80 13.97 ± 1.75 / 19.76 ± 2.26 0.0.0 0.0.0 0.0.0 0.0.0
allenai/OLMo-7B (few-shot) 6888 50 2051 True 5,403 ± 1,133 / 1,294 ± 423 3.21 26.76 ± 3.11 / 19.46 ± 2.38 30.76 ± 4.38 / 44.83 ± 4.36 0.55 ± 1.73 / 39.40 ± 4.57 45.65 ± 1.22 / 52.49 ± 1.01 12.5.2 12.5.2 12.5.2 12.5.2
EuropeanParliament/EUBERT 94 66 512 True 20,070 ± 3,977 / 4,400 ± 1,435 3.22 41.09 ± 1.83 / 40.40 ± 1.82 27.33 ± 1.92 / 49.78 ± 1.38 21.58 ± 3.92 / 59.41 ± 2.63 20.68 ± 0.82 / 26.68 ± 0.91 12.6.1 12.6.1 12.6.1 12.6.1
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.24 24.44 ± 2.59 / 17.37 ± 2.03 34.03 ± 2.50 / 52.42 ± 2.16 2.25 ± 1.28 / 42.33 ± 3.11 42.12 ± 1.18 / 49.76 ± 1.22 12.5.2 12.1.0 12.1.0 12.4.0
mhenrichsen/danskgpt-tiny-chat (few-shot) 1100 32 2048 False 1,745 ± 978 / 686 ± 159 3.26 22.31 ± 2.55 / 19.30 ± 2.14 34.05 ± 2.37 / 52.43 ± 2.46 0.70 ± 1.11 / 40.47 ± 3.04 41.82 ± 2.07 / 48.91 ± 2.47 9.1.2 9.1.2 9.1.2 12.4.0
dbmdz/bert-base-historic-multilingual-cased 111 32 512 True 20,047 ± 4,407 / 3,844 ± 1,259 3.27 47.61 ± 1.71 / 45.91 ± 1.91 24.17 ± 1.92 / 43.75 ± 2.75 8.14 ± 3.76 / 51.78 ± 1.81 25.19 ± 1.29 / 30.51 ± 1.06 0.0.0 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 3.28 49.88 ± 2.14 / 46.74 ± 1.94 27.93 ± 0.66 / 50.86 ± 0.42 5.42 ± 2.85 / 48.29 ± 3.93 22.93 ± 0.81 / 28.62 ± 0.62 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) 7111 64 2048 True 2,351 ± 448 / 707 ± 216 3.32 20.84 ± 2.40 / 16.93 ± 1.98 18.07 ± 3.41 / 27.21 ± 2.91 10.54 ± 2.38 / 48.37 ± 3.58 51.22 ± 0.94 / 57.23 ± 0.68 9.2.0 9.2.0 9.2.0 12.5.1
AI-Sweden-Models/gpt-sw3-6.7b (few-shot) 7111 64 2048 True 2,285 ± 443 / 671 ± 205 3.36 18.23 ± 5.87 / 14.77 ± 3.36 22.71 ± 5.21 / 35.11 ± 6.59 5.03 ± 2.51 / 49.00 ± 2.64 49.11 ± 1.16 / 55.56 ± 1.21 11.0.0 11.0.0 11.0.0 11.0.0
norallm/normistral-7b-scratch (few-shot) 7248 33 2048 True 3,192 ± 454 / 1,198 ± 357 3.36 14.88 ± 3.92 / 14.02 ± 2.63 34.66 ± 1.82 / 46.40 ± 1.53 0.29 ± 1.86 / 41.01 ± 2.54 42.16 ± 0.88 / 47.49 ± 0.98 10.0.0 10.0.0 10.0.0 10.0.0
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) 1445 64 2048 True 4,544 ± 1,000 / 1,106 ± 359 3.39 14.73 ± 1.84 / 14.44 ± 1.74 27.14 ± 1.93 / 42.34 ± 2.51 2.65 ± 1.66 / 40.63 ± 4.02 46.38 ± 0.61 / 54.18 ± 0.52 12.5.2 9.3.1 12.1.0 12.4.0
01-ai/Yi-6B (few-shot) 6061 64 4096 True 6,435 ± 1,316 / 1,632 ± 549 3.41 35.08 ± 2.24 / 25.02 ± 2.03 4.00 ± 2.43 / 18.67 ± 0.94 3.68 ± 2.25 / 35.69 ± 1.87 55.09 ± 0.79 / 60.88 ± 0.55 9.3.2 10.0.0 10.0.0 12.5.1
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 3.41 18.00 ± 2.52 / 14.88 ± 1.68 26.58 ± 2.81 / 45.88 ± 3.40 0.63 ± 1.48 / 33.42 ± 0.28 41.66 ± 1.48 / 49.40 ± 1.53 12.5.2 11.0.0 12.1.0 12.5.0
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 3.43 11.28 ± 0.96 / 11.02 ± 0.85 34.94 ± 3.80 / 49.66 ± 3.96 2.08 ± 1.48 / 45.41 ± 3.83 36.59 ± 1.41 / 42.03 ± 1.44 12.5.2 9.3.2 12.1.0 12.4.0
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 3.46 9.83 ± 3.50 / 8.97 ± 2.64 29.03 ± 2.48 / 46.75 ± 3.69 0.56 ± 0.87 / 33.34 ± 0.23 46.43 ± 0.74 / 53.20 ± 0.47 12.5.2 10.0.1 12.1.0 12.1.0
sentence-transformers/distiluse-base-multilingual-cased-v1 135 120 512 True 34,042 ± 8,482 / 5,951 ± 1,950 3.46 46.78 ± 1.50 / 44.41 ± 1.78 27.78 ± 2.22 / 49.38 ± 2.89 3.04 ± 1.85 / 46.85 ± 3.03 15.52 ± 0.98 / 23.22 ± 0.86 0.0.0 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 3.47 8.80 ± 5.54 / 8.63 ± 4.48 28.65 ± 2.81 / 47.83 ± 3.55 2.84 ± 1.81 / 49.21 ± 1.95 45.34 ± 0.88 / 51.59 ± 0.80 9.3.1 9.3.1 9.3.1 12.5.1
NbAiLab/nb-gpt-j-6B-alpaca (few-shot) 6055 50 1024 False 2,607 ± 592 / 680 ± 208 3.51 12.95 ± 3.80 / 11.68 ± 2.31 27.68 ± 3.64 / 46.61 ± 4.11 1.65 ± 1.96 / 47.94 ± 2.55 38.60 ± 0.65 / 47.40 ± 0.64 9.3.1 10.0.1 10.0.1 12.4.0
AI-Sweden-Models/gpt-sw3-356m (few-shot) 471 64 2048 True 5,758 ± 1,348 / 1,215 ± 391 3.54 16.13 ± 4.02 / 14.90 ± 3.13 27.61 ± 2.14 / 39.77 ± 1.85 1.96 ± 2.25 / 38.40 ± 2.99 34.79 ± 1.52 / 39.67 ± 1.69 9.3.1 9.3.1 9.3.2 12.5.1
dbmdz/bert-mini-historic-multilingual-cased 12 32 512 True 47,122 ± 9,661 / 9,714 ± 3,152 3.58 41.70 ± 1.80 / 38.74 ± 1.82 26.03 ± 0.90 / 48.46 ± 1.21 2.19 ± 1.92 / 49.80 ± 1.39 13.82 ± 0.82 / 20.76 ± 0.91 0.0.0 0.0.0 0.0.0 0.0.0
alexanderfalk/danbert-small-cased 83 52 512 True 30,013 ± 4,309 / 8,840 ± 2,859 3.62 33.05 ± 1.28 / 31.68 ± 1.05 30.67 ± 1.28 / 51.76 ± 1.28 13.01 ± 5.22 / 55.11 ± 3.40 1.56 ± 0.88 / 5.30 ± 2.21 0.0.0 0.0.0 0.0.0 0.0.0
mhenrichsen/danskgpt-tiny (few-shot) 1100 32 2048 True 8,597 ± 1,983 / 1,926 ± 600 3.64 14.13 ± 3.50 / 12.15 ± 3.14 26.31 ± 5.33 / 44.07 ± 6.36 -0.54 ± 1.46 / 44.56 ± 3.34 32.12 ± 1.62 / 38.99 ± 1.42 0.0.0 0.0.0 0.0.0 12.5.1
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2051 True 5,484 ± 1,125 / 1,317 ± 425 3.65 7.52 ± 3.92 / 6.60 ± 2.84 18.30 ± 3.89 / 27.62 ± 5.78 3.23 ± 1.94 / 45.74 ± 3.06 46.35 ± 1.42 / 51.37 ± 1.43 12.5.2 12.5.2 12.5.2 12.5.2
KBLab/albert-base-swedish-cased-alpha 14 50 512 True 15,925 ± 2,281 / 4,780 ± 1,554 3.71 29.90 ± 7.25 / 28.27 ± 6.86 19.79 ± 1.67 / 42.09 ± 1.98 6.15 ± 1.66 / 52.04 ± 1.49 15.96 ± 2.06 / 21.55 ± 2.17 0.0.0 0.0.0 0.0.0 0.0.0
jannesg/bertsson 124 50 512 True 15,314 ± 2,786 / 3,666 ± 1,201 3.71 32.63 ± 1.06 / 32.76 ± 1.02 24.11 ± 1.74 / 44.78 ± 2.78 2.91 ± 1.07 / 46.98 ± 3.78 15.37 ± 1.22 / 22.17 ± 1.24 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 2,383 ± 451 / 718 ± 221 3.72 15.35 ± 1.38 / 14.74 ± 1.30 2.85 ± 1.54 / 18.05 ± 0.23 10.99 ± 2.52 / 54.07 ± 1.93 50.51 ± 0.90 / 58.22 ± 0.76 9.2.0 9.2.0 9.2.0 12.4.0
sentence-transformers/distiluse-base-multilingual-cased-v2 135 120 512 True 33,247 ± 8,123 / 6,017 ± 1,977 3.74 26.96 ± 1.31 / 25.63 ± 1.35 30.13 ± 2.10 / 46.78 ± 4.49 2.01 ± 1.29 / 48.79 ± 1.65 8.22 ± 1.11 / 16.40 ± 1.79 12.6.1 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 3.74 26.96 ± 1.31 / 25.63 ± 1.35 30.13 ± 2.10 / 46.78 ± 4.49 2.01 ± 1.29 / 48.79 ± 1.65 8.25 ± 1.03 / 16.49 ± 1.77 12.6.1 12.6.1 12.6.1 12.6.1
3ebdola/Dialectal-Arabic-XLM-R-Base 278 250 512 True 12,783 ± 2,537 / 2,712 ± 885 3.82 36.51 ± 2.44 / 36.31 ± 2.71 22.07 ± 2.24 / 44.70 ± 3.72 1.63 ± 1.49 / 45.36 ± 3.07 3.09 ± 1.00 / 9.48 ± 1.61 0.0.0 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 3.83 19.01 ± 1.91 / 17.08 ± 1.83 8.88 ± 1.86 / 24.27 ± 2.45 0.66 ± 1.41 / 37.98 ± 4.14 32.78 ± 2.33 / 38.31 ± 2.81 12.5.2 10.0.1 12.1.0 12.1.0
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 3.87 17.38 ± 2.04 / 15.74 ± 1.99 10.72 ± 3.35 / 25.21 ± 3.80 1.32 ± 1.08 / 42.05 ± 3.69 34.58 ± 0.97 / 40.37 ± 1.02 12.5.2 11.0.0 12.1.0 12.4.0
allenai/OLMo-1B (few-shot) 1177 50 2051 True 8,536 ± 1,926 / 1,940 ± 619 3.93 13.39 ± 2.60 / 12.39 ± 2.46 17.94 ± 5.58 / 32.80 ± 3.63 -2.02 ± 2.28 / 40.63 ± 4.12 23.65 ± 2.96 / 26.24 ± 3.20 12.5.2 12.1.0 12.1.0 12.1.0
dbmdz/bert-tiny-historic-multilingual-cased 5 32 512 True 78,027 ± 15,466 / 17,064 ± 5,335 3.95 33.62 ± 1.57 / 31.69 ± 1.40 20.71 ± 1.68 / 40.07 ± 2.65 1.19 ± 1.08 / 48.46 ± 1.34 4.19 ± 0.88 / 7.68 ± 1.59 12.6.1 0.0.0 0.0.0 0.0.0
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.07 10.12 ± 1.24 / 9.84 ± 1.12 10.65 ± 3.65 / 28.33 ± 5.27 -0.66 ± 1.24 / 33.61 ± 0.26 26.08 ± 3.96 / 28.87 ± 4.21 9.3.1 9.3.1 9.3.1 12.5.2
RabotaRu/HRBert-mini 80 200 512 True 54,951 ± 11,500 / 11,401 ± 3,819 4.09 22.21 ± 0.75 / 21.70 ± 0.70 20.33 ± 1.89 / 40.95 ± 2.78 0.90 ± 1.40 / 48.85 ± 2.60 2.73 ± 0.64 / 7.23 ± 1.45 0.0.0 0.0.0 0.0.0 0.0.0
NbAiLab/nb-gpt-j-6B-v2 (few-shot) 6051 50 1024 False 2,556 ± 580 / 681 ± 214 4.14 0.24 ± 0.25 / 0.25 ± 0.21 27.80 ± 6.39 / 43.80 ± 5.16 0.56 ± 0.51 / 34.04 ± 1.28 6.84 ± 6.83 / 21.33 ± 6.27 9.3.1 10.0.1 11.0.0 12.5.1
fresh-xlm-roberta-base 278 250 512 True 2,214 ± 94 / 1,494 ± 229 4.20 16.04 ± 2.47 / 15.60 ± 2.62 17.37 ± 3.82 / 36.83 ± 4.86 1.34 ± 0.97 / 35.45 ± 3.20 1.58 ± 0.51 / 6.64 ± 1.56 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) 186 64 2048 True 7,717 ± 1,553 / 2,013 ± 625 4.23 13.98 ± 1.54 / 13.46 ± 1.42 6.37 ± 3.38 / 25.43 ± 4.09 0.41 ± 0.80 / 33.31 ± 0.24 20.46 ± 2.90 / 24.27 ± 3.23 11.0.0 9.3.2 11.0.0 12.4.0
AI-Sweden-Models/gpt-sw3-126m (few-shot) 186 64 2048 True 8,958 ± 1,815 / 2,240 ± 696 4.24 3.43 ± 2.66 / 5.56 ± 1.90 9.18 ± 4.25 / 26.36 ± 3.94 -0.22 ± 1.53 / 34.20 ± 0.84 16.64 ± 3.32 / 19.46 ± 3.63 9.2.0 9.2.0 9.2.0 12.5.1
fresh-electra-small 14 31 512 True 7,840 ± 1,538 / 3,024 ± 438 4.26 12.87 ± 1.63 / 13.23 ± 1.55 18.61 ± 4.17 / 35.23 ± 3.90 0.30 ± 1.39 / 37.84 ± 3.88 0.00 ± 0.00 / 0.00 ± 0.00 0.0.0 0.0.0 0.0.0 0.0.0
NbAiLab/nb-gpt-j-6B@sharded (few-shot) unknown 50 1024 True 2,630 ± 605 / 684 ± 217 4.46 0.36 ± 0.40 / 1.82 ± 1.16 11.00 ± 7.09 / 26.09 ± 6.96 -0.11 ± 1.16 / 33.76 ± 0.86 5.15 ± 6.60 / 17.35 ± 5.86 9.3.1 10.0.1 10.0.1 12.5.1
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.59 0.00 ± 0.00 / 0.00 ± 0.00 13.00 ± 4.17 / 24.41 ± 3.12 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 12.39 ± 1.52 9.3.1 9.3.1 9.3.1 12.5.1
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 512 True 1,373 ± 120 / 709 ± 172 4.72 0.00 ± 0.00 / 0.00 ± 0.00 4.81 ± 2.69 / 19.31 ± 1.01 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 30.05 ± 4.99 10.0.1 10.0.1 10.0.1 10.0.1
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 4.73 0.65 ± 0.68 / 0.59 ± 0.63 2.61 ± 2.75 / 20.51 ± 2.48 -0.73 ± 1.72 / 41.15 ± 3.71 1.99 ± 1.69 / 2.68 ± 1.87 9.3.1 10.0.1 11.0.0 12.5.1
NorGLM/NorGPT-369M (few-shot) unknown 64 1024 True 19,896 ± 5,099 / 3,848 ± 1,251 4.76 1.13 ± 1.19 / 0.97 ± 1.03 2.06 ± 2.30 / 20.38 ± 2.71 -0.36 ± 0.97 / 41.52 ± 4.00 0.32 ± 0.12 / 4.20 ± 0.61 12.5.2 12.5.2 12.5.2 12.5.2
peter-sk/gpt-neox-da (few-shot) 1515 50 1024 True 6,025 ± 1,442 / 1,342 ± 431 4.82 0.64 ± 0.89 / 0.52 ± 0.69 -0.52 ± 1.72 / 28.55 ± 1.60 -0.02 ± 1.55 / 36.82 ± 2.52 0.48 ± 0.27 / 2.89 ± 0.53 10.0.1 10.0.1 10.0.1 10.0.1
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 4.84 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 18.12 ± 0.19 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 0.04 ± 0.01 12.7.0 12.7.0 12.7.0 12.7.0
Sigurdur/qa-icebreaker (few-shot) 110 32 1024 False 44,889 ± 6,944 / 13,506 ± 4,256 4.84 0.00 ± 0.00 / 0.00 ± 0.00 0.07 ± 0.70 / 27.86 ± 0.36 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 0.08 ± 0.02 12.7.0 12.7.0 12.7.0 12.7.0
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