layout | title |
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leaderboard |
Danish NLU 🇩🇰 |
Include merged models
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 |
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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 | 128000 | 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 | 1.32 | 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 |
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 |
AI-Sweden-Models/roberta-large-1160k | 355 | 50 | 512 | True | 14,014 ± 2,384 / 3,625 ± 1,146 | 1.40 | 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 |
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/Llama-3-8B-instruct (few-shot) | 8030 | 128 | 8192 | False | 4,314 ± 1,202 / 776 ± 245 | 1.44 | 58.44 ± 1.72 / 46.94 ± 1.75 | 54.96 ± 1.30 / 68.41 ± 1.45 | 70.55 ± 1.00 / 85.14 ± 0.52 | 60.95 ± 0.31 / 65.86 ± 0.36 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
AI-Sweden-Models/roberta-large-1350k | 355 | 50 | 512 | True | 5,744 ± 969 / 1,539 ± 492 | 1.46 | 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 |
gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 1.47 | 71.15 ± 2.89 / 52.24 ± 3.76 | 49.42 ± 3.29 / 61.74 ± 2.59 | 64.59 ± 2.97 / 79.93 ± 1.88 | 57.35 ± 2.51 / 67.87 ± 1.75 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 |
ltg/norbert3-large | 354 | 50 | 508 | True | 5,048 ± 824 / 1,354 ± 429 | 1.53 | 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 | 1.57 | 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 | 1.57 | 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 |
intfloat/multilingual-e5-large | 560 | 250 | 512 | True | 6,732 ± 1,273 / 1,633 ± 523 | 1.62 | 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, val) | unknown | 100 | 4094 | True | 921 ± 293 / 113 ± 37 | 1.63 | 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 |
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 |
NbAiLab/nb-roberta-base-scandi | 278 | 250 | 512 | True | 15,079 ± 2,948 / 3,359 ± 1,091 | 1.73 | 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 | 1.74 | 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 |
microsoft/mdeberta-v3-base | 279 | 251 | 512 | True | 20,637 ± 3,925 / 4,497 ± 1,502 | 1.74 | 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 |
FacebookAI/xlm-roberta-large | 560 | 250 | 512 | True | 17,897 ± 3,921 / 3,463 ± 1,141 | 1.75 | 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 |
meta-llama/Llama-2-70b-hf (few-shot, val) | 68977 | 32 | 4096 | True | 1,892 ± 650 / 318 ± 105 | 1.75 | 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 |
152334H/miqu-1-70b-sf (few-shot, val) | 68977 | 32 | 32764 | True | 2,126 ± 676 / 319 ± 104 | 1.79 | 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 |
google/gemma-2-9b-it (few-shot) | 9242 | 256 | 8193 | False | 2,062 ± 397 / 589 ± 178 | 1.81 | 49.05 ± 2.41 / 30.91 ± 2.53 | 52.26 ± 1.31 / 64.13 ± 1.93 | 58.38 ± 1.21 / 78.98 ± 0.68 | 55.34 ± 0.82 / 64.41 ± 0.42 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
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 |
NbAiLab/nb-bert-base | 178 | 120 | 512 | True | 14,050 ± 3,222 / 2,727 ± 886 | 1.82 | 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 |
NbAiLab/nb-roberta-base-scandi-1e4 | 278 | 250 | 512 | True | 15,074 ± 2,990 / 3,347 ± 1,080 | 1.82 | 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 |
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 |
NbAiLab/nb-sbert-base | 178 | 120 | 512 | True | 17,757 ± 3,883 / 3,864 ± 1,237 | 1.85 | 70.12 ± 1.61 / 65.80 ± 1.43 | 47.83 ± 1.05 / 65.23 ± 0.75 | 63.25 ± 2.38 / 80.82 ± 1.42 | 36.51 ± 2.05 / 41.01 ± 2.35 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
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 |
vesteinn/FoBERT | 124 | 50 | 512 | True | 15,623 ± 2,828 / 3,737 ± 1,191 | 1.86 | 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 | 1.86 | 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 |
sentence-transformers/use-cmlm-multilingual | 471 | 501 | 512 | True | 30,231 ± 8,171 / 4,863 ± 1,598 | 1.87 | 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 |
setu4993/LaBSE | 471 | 501 | 512 | True | 25,418 ± 6,435 / 4,536 ± 1,452 | 1.88 | 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-base-exp-8 | 278 | 250 | 512 | True | 15,112 ± 2,969 / 3,347 ± 1,093 | 1.89 | 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 | 1.91 | 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 |
intfloat/multilingual-e5-large-instruct | 560 | 250 | 514 | True | 5,947 ± 1,301 / 1,129 ± 374 | 1.92 | 69.86 ± 1.64 / 65.30 ± 1.46 | 55.45 ± 1.57 / 69.74 ± 1.66 | 31.14 ± 18.61 / 63.23 ± 10.14 | 45.51 ± 2.60 / 52.75 ± 1.79 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
ltg/norbert3-base | 124 | 50 | 508 | True | 11,405 ± 1,970 / 2,856 ± 917 | 1.93 | 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 | 1.99 | 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 |
Nexusflow/Starling-LM-7B-beta (few-shot) | 7242 | 32 | 8192 | False | 5,876 ± 1,021 / 1,677 ± 546 | 2.01 | 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-32B | 278 | 250 | 512 | True | 15,103 ± 2,982 / 3,357 ± 1,081 | 2.02 | 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 |
pere/roberta-base-exp-32 | 278 | 250 | 512 | True | 15,081 ± 2,950 / 3,365 ± 1,092 | 2.03 | 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 |
mistralai/Mistral-Nemo-Instruct-2407 (few-shot) | 12248 | 131 | 1024001 | True | 7,095 ± 2,193 / 1,063 ± 344 | 2.07 | 53.95 ± 2.29 / 34.84 ± 2.23 | 48.97 ± 1.81 / 64.19 ± 1.99 | 31.78 ± 4.52 / 61.53 ± 5.44 | 56.44 ± 1.24 / 65.53 ± 1.09 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
RJuro/munin-neuralbeagle-7b (few-shot, val) | 7242 | 32 | 32768 | False | 2,493 ± 466 / 773 ± 243 | 2.08 | 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 | 2.11 | 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 |
four-two-labs/orpo-llama-3-swe (few-shot) | 8030 | 128 | 8192 | False | 4,974 ± 1,208 / 1,032 ± 342 | 2.11 | 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 |
syvai/llama3-da-base (few-shot) | 8030 | 128 | 8192 | True | 3,191 ± 1,053 / 446 ± 147 | 2.11 | 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 |
timpal0l/BeagleCatMunin (few-shot, val) | 7242 | 32 | 32768 | False | 2,495 ± 458 / 775 ± 244 | 2.11 | 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 |
meta-llama/Meta-Llama-3.1-8B (few-shot) | 8030 | 128 | 131073 | True | 2,439 ± 459 / 703 ± 219 | 2.13 | 47.68 ± 2.50 / 32.67 ± 2.45 | 49.71 ± 1.43 / 64.00 ± 1.96 | 25.48 ± 2.83 / 58.45 ± 2.63 | 60.31 ± 1.24 / 65.79 ± 0.84 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 |
merge-crew/da-sv-slerp (few-shot, val) | 7242 | 32 | 32768 | True | 2,467 ± 469 / 762 ± 244 | 2.14 | 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 | 2.14 | 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 | 2.15 | 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 |
google/gemma-2-9b (few-shot) | 9242 | 256 | 8193 | True | 2,038 ± 406 / 566 ± 172 | 2.17 | 44.16 ± 3.11 / 25.93 ± 1.95 | 38.84 ± 2.31 / 45.52 ± 3.32 | 43.42 ± 3.95 / 69.40 ± 3.11 | 60.11 ± 0.96 / 66.24 ± 0.78 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
ltg/norbert3-small | 41 | 50 | 508 | True | 13,515 ± 2,514 / 3,042 ± 1,004 | 2.17 | 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 |
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) | 8030 | 128 | 8192 | False | 5,018 ± 1,216 / 996 ± 324 | 2.17 | 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 |
AI-Sweden-Models/bert-large-nordic-pile-1M-steps | 369 | 64 | 512 | True | 6,571 ± 1,331 / 1,493 ± 479 | 2.18 | 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 |
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) | 7242 | 32 | 32768 | True | 2,443 ± 458 / 750 ± 240 | 2.19 | 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 |
upstage/SOLAR-10.7B-v1.0 (few-shot) | 10732 | 32 | 4096 | True | 3,780 ± 906 / 799 ± 261 | 2.19 | 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 |
birgermoell/Rapid-Cycling (few-shot, val) | 7242 | 32 | 32768 | False | 2,346 ± 450 / 666 ± 249 | 2.20 | 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 |
meta-llama/Llama-2-70b-chat-hf (few-shot, val) | 68977 | 32 | 4096 | True | 1,979 ± 621 / 320 ± 105 | 2.20 | 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 | 2.21 | 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 |
cardiffnlp/twitter-xlm-roberta-base | 278 | 250 | 512 | True | 34,475 ± 7,465 / 6,712 ± 2,223 | 2.22 | 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 |
timpal0l/sol (few-shot) | 10732 | 32 | 4096 | False | 3,701 ± 876 / 771 ± 247 | 2.22 | 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 | 2.23 | 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 | 2.24 | 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 |
gpt-4o-mini-2024-07-18 (few-shot) | unknown | 200 | 128000 | True | 1,171 ± 378 / 120 ± 39 | 2.25 | 63.59 ± 2.16 / 42.42 ± 3.34 | 29.47 ± 4.78 / 50.59 ± 4.36 | 38.37 ± 9.13 / 60.56 ± 8.53 | 54.63 ± 0.51 / 65.79 ± 0.42 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 |
merge-crew/da-sv-ties (few-shot, val) | 7242 | 32 | 32768 | True | 2,457 ± 451 / 757 ± 237 | 2.25 | 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 | 2.25 | 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 |
facebook/xlm-v-base | 778 | 902 | 512 | True | 25,396 ± 6,394 / 4,534 ± 1,421 | 2.26 | 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 | 2.28 | 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 | 2.28 | 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 |
Geotrend/bert-base-en-fr-de-no-da-cased | 118 | 42 | 512 | True | 13,973 ± 3,205 / 2,725 ± 884 | 2.29 | 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 |
birgermoell/Flashback-Bellman (few-shot, val) | 7242 | 32 | 32768 | False | 2,887 ± 403 / 1,144 ± 345 | 2.29 | 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 |
timpal0l/BeagleCatMunin2 (few-shot, val) | 7242 | 32 | 32768 | False | 2,477 ± 459 / 767 ± 241 | 2.29 | 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 |
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) | 7242 | 32 | 32768 | False | 3,008 ± 429 / 991 ± 323 | 2.30 | 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 |
birgermoell/NeuralBeagle-Flashback (few-shot, val) | 7242 | 32 | 32768 | False | 2,904 ± 405 / 1,155 ± 349 | 2.30 | 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 |
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 |
sarnikowski/convbert-medium-small-da-cased | 24 | 29 | 512 | True | 13,821 ± 2,209 / 3,547 ± 1,184 | 2.31 | 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 |
senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 2.31 | 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 | 2.32 | 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 |
danish-foundation-models/encoder-medium-v1 | 111 | 32 | 512 | True | 16,130 ± 2,433 / 4,566 ± 1,473 | 2.34 | 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 |
google-bert/bert-base-multilingual-uncased | 167 | 106 | 512 | True | 13,993 ± 3,217 / 2,752 ± 893 | 2.36 | 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 |
meta-llama/Meta-Llama-3.1-8B-Instruct (few-shot) | 8030 | 128 | 131073 | True | 2,411 ± 465 / 686 ± 215 | 2.36 | 57.19 ± 1.73 / 44.34 ± 2.43 | 51.30 ± 1.32 / 64.44 ± 1.47 | 10.31 ± 3.91 / 42.59 ± 5.19 | 48.80 ± 1.66 / 60.46 ± 0.60 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
AI-Sweden-Models/Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,141 ± 994 / 905 ± 299 | 2.37 | 36.72 ± 3.33 / 27.73 ± 2.57 | 46.48 ± 1.17 / 55.20 ± 2.51 | 26.10 ± 3.17 / 59.19 ± 3.94 | 58.00 ± 0.91 / 64.11 ± 0.64 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
microsoft/infoxlm-large | 560 | 250 | 512 | True | 6,696 ± 1,260 / 1,630 ± 515 | 2.37 | 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 |
Geotrend/bert-base-en-no-cased | 111 | 33 | 512 | True | 14,081 ± 3,231 / 2,748 ± 891 | 2.39 | 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 |
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 |
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) | 7242 | 32 | 32768 | True | 2,515 ± 465 / 785 ± 247 | 2.39 | 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 |
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 2,518 ± 463 / 779 ± 243 | 2.39 | 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 |
alpindale/Mistral-7B-v0.2-hf (few-shot) | 7242 | 32 | 32768 | True | 1,841 ± 297 / 651 ± 193 | 2.40 | 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-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 4,120 ± 976 / 926 ± 306 | 2.40 | 43.60 ± 2.94 / 32.17 ± 2.26 | 45.92 ± 1.50 / 61.91 ± 1.50 | 15.43 ± 3.79 / 46.20 ± 5.54 | 59.13 ± 0.86 / 64.43 ± 0.58 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
mlabonne/AlphaMonarch-7B (few-shot, val) | 7242 | 32 | 8192 | False | 5,340 ± 1,262 / 1,157 ± 375 | 2.40 | 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 |
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 2.41 | 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 |
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) | 7242 | 32 | 32768 | True | 5,054 ± 1,200 / 1,056 ± 339 | 2.41 | 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 | 2.42 | 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 |
KBLab/megatron-bert-large-swedish-cased-165k | 370 | 64 | 512 | True | 7,138 ± 1,111 / 2,067 ± 660 | 2.43 | 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 | 2.43 | 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 |
ZurichNLP/unsup-simcse-xlm-roberta-base | 278 | 250 | 512 | True | 34,520 ± 7,443 / 6,730 ± 2,224 | 2.43 | 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 |
meta-llama/Llama-2-13b-chat-hf (few-shot) | 13016 | 32 | 4096 | True | 2,849 ± 622 / 723 ± 229 | 2.44 | 44.00 ± 2.63 / 29.00 ± 2.26 | 45.41 ± 1.79 / 62.27 ± 2.34 | 16.17 ± 2.17 / 56.93 ± 1.29 | 57.06 ± 0.83 / 63.94 ± 0.49 | 12.10.5 | 12.10.4 | 12.10.4 | 12.11.0 |
AI-Nordics/bert-large-swedish-cased | 335 | 31 | 512 | True | 7,199 ± 1,139 / 2,051 ± 651 | 2.46 | 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 |
sentence-transformers/paraphrase-xlm-r-multilingual-v1 | 278 | 250 | 512 | True | 20,154 ± 4,438 / 3,890 ± 1,256 | 2.46 | 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 |
mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 2,657 ± 524 / 880 ± 278 | 2.47 | 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 |
Geotrend/bert-base-en-da-cased | 111 | 33 | 512 | True | 14,062 ± 3,216 / 2,733 ± 885 | 2.48 | 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 | 2.49 | 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 |
microsoft/xlm-align-base | 278 | 250 | 512 | True | 14,744 ± 2,870 / 3,265 ± 1,053 | 2.49 | 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 | 2.49 | 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 |
Mabeck/Heidrun-Mistral-7B-base (few-shot) | 7242 | 32 | 32768 | True | 3,823 ± 967 / 860 ± 280 | 2.50 | 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 |
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 |
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) | 7242 | 32 | 8192 | True | 6,113 ± 1,044 / 1,790 ± 579 | 2.50 | 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 | 2.51 | 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 |
google/gemma-7b (few-shot) | 8538 | 256 | 8192 | True | 1,378 ± 260 / 387 ± 119 | 2.51 | 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 |
jonfd/electra-small-nordic | 22 | 96 | 128 | True | 5,989 ± 120 / 3,809 ± 1,230 | 2.51 | 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 | 2.52 | 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 |
Twitter/twhin-bert-base | 279 | 250 | 512 | True | 11,514 ± 2,041 / 2,862 ± 918 | 2.52 | 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 | 2.52 | 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 |
danish-foundation-models/munin-7b-alpha (few-shot) | 7242 | 32 | 32768 | True | 6,116 ± 1,049 / 1,784 ± 577 | 2.52 | 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 |
mhenrichsen/hestenettetLM (few-shot) | 7242 | 32 | 32768 | True | 5,160 ± 804 / 1,654 ± 516 | 2.52 | 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 |
google-bert/bert-base-multilingual-cased | 178 | 120 | 512 | True | 14,083 ± 3,264 / 2,738 ± 889 | 2.53 | 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 | 2.53 | 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 | 2.54 | 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 |
flax-community/nordic-roberta-wiki | 125 | 50 | 512 | True | 16,227 ± 2,650 / 4,252 ± 1,393 | 2.54 | 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 |
Geotrend/bert-base-da-cased | 104 | 23 | 512 | True | 15,432 ± 2,838 / 3,642 ± 1,189 | 2.56 | 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 |
microsoft/infoxlm-base | 278 | 250 | 512 | True | 34,735 ± 7,558 / 6,846 ± 2,312 | 2.57 | 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 |
sarnikowski/electra-small-discriminator-da-256-cased | 13 | 29 | 512 | True | 20,340 ± 3,185 / 5,178 ± 1,700 | 2.58 | 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 |
DDSC/roberta-base-danish | 125 | 50 | 512 | True | 15,004 ± 2,964 / 3,290 ± 1,092 | 2.59 | 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 |
meta-llama/Llama-3.2-3B-Instruct (few-shot) | 3213 | 128 | 131073 | False | 3,602 ± 855 / 779 ± 245 | 2.60 | 41.18 ± 3.20 / 32.45 ± 2.58 | 43.08 ± 2.67 / 55.24 ± 4.09 | 11.45 ± 2.51 / 48.94 ± 3.94 | 51.34 ± 0.97 / 60.36 ± 0.48 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
sarnikowski/convbert-small-da-cased | 13 | 29 | 512 | True | 14,273 ± 2,312 / 3,555 ± 1,187 | 2.60 | 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 |
tollefj/nordavind-7b-instruct-warm (few-shot) | 7248 | 33 | 2048 | False | 6,450 ± 961 / 2,082 ± 658 | 2.60 | 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 |
bineric/NorskGPT-Llama-13B-v0.1 (few-shot) | unknown | 32 | 4096 | False | 2,856 ± 645 / 709 ± 243 | 2.61 | 44.17 ± 3.14 / 31.63 ± 3.03 | 44.28 ± 1.94 / 55.59 ± 3.06 | 3.11 ± 1.88 / 34.35 ± 0.74 | 55.59 ± 0.65 / 63.25 ± 0.37 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) | 6738 | 32 | 4096 | False | 5,384 ± 879 / 1,746 ± 553 | 2.62 | 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 |
bineric/NorskGPT-Mistral-7b (few-shot) | 7242 | 32 | 32768 | False | 2,443 ± 451 / 761 ± 237 | 2.63 | 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 | 2.63 | 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 |
KB/bert-base-swedish-cased | 125 | 50 | 512 | True | 16,181 ± 2,451 / 4,620 ± 1,507 | 2.64 | 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 | 2.64 | 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 |
meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 2.64 | 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 |
KBLab/megatron-bert-base-swedish-cased-600k | 135 | 64 | 512 | True | 15,726 ± 2,508 / 4,234 ± 1,365 | 2.65 | 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 |
LumiOpen/Viking-33B@1000B (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 |
sentence-transformers/stsb-xlm-r-multilingual | 278 | 250 | 512 | True | 15,040 ± 2,953 / 3,417 ± 1,100 | 2.65 | 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 |
emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) | 3821 | 32 | 4096 | False | 1,360 ± 179 / 566 ± 190 | 2.66 | 39.96 ± 3.11 / 25.49 ± 2.71 | 44.93 ± 1.13 / 62.99 ± 0.87 | 4.01 ± 1.10 / 45.80 ± 2.61 | 55.01 ± 0.80 / 60.67 ± 0.59 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
jjzha/dajobbert-base-uncased | 110 | 32 | 512 | True | 16,243 ± 2,428 / 4,593 ± 1,484 | 2.66 | 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 |
meta-llama/Llama-3.2-3B (few-shot) | 3213 | 128 | 131073 | True | 3,713 ± 877 / 836 ± 267 | 2.66 | 41.13 ± 2.85 / 27.15 ± 1.82 | 38.90 ± 1.93 / 44.34 ± 1.64 | 9.60 ± 2.51 / 44.34 ± 5.20 | 56.85 ± 1.27 / 62.25 ± 0.88 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 2.67 | 48.44 ± 1.69 / 36.99 ± 1.77 | 39.07 ± 1.03 / 56.85 ± 1.91 | 9.72 ± 1.58 / 46.85 ± 3.66 | 51.18 ± 0.92 / 56.54 ± 0.69 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
ibm-granite/granite-8b-code-base (few-shot) | 8055 | 49 | 4096 | True | 1,002 ± 95 / 416 ± 105 | 2.67 | 48.55 ± 1.75 / 37.15 ± 1.83 | 39.16 ± 0.95 / 56.83 ± 1.90 | 10.43 ± 1.91 / 46.99 ± 3.74 | 51.28 ± 0.95 / 56.75 ± 0.70 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) | 7242 | 32 | 32768 | True | 2,461 ± 476 / 773 ± 248 | 2.67 | 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 |
DDSC/roberta-base-scandinavian | 125 | 50 | 512 | True | 14,491 ± 2,800 / 3,182 ± 1,026 | 2.68 | 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 |
Maltehb/aelaectra-danish-electra-small-uncased | 14 | 32 | 128 | True | 5,995 ± 135 / 3,839 ± 1,247 | 2.68 | 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 |
AI-Sweden-Models/gpt-sw3-40b (few-shot) | 39927 | 64 | 2048 | True | 409 ± 53 / 182 ± 54 | 2.69 | 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 |
Maltehb/aelaectra-danish-electra-small-cased | 14 | 32 | 128 | True | 4,593 ± 114 / 3,034 ± 973 | 2.69 | 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 |
Twitter/twhin-bert-large | 561 | 250 | 512 | True | 9,707 ± 1,664 / 2,549 ± 831 | 2.69 | 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 |
google/gemma-2-2b-it (few-shot) | 2614 | 256 | 8193 | False | 6,789 ± 2,167 / 981 ± 327 | 2.69 | 28.34 ± 1.72 / 20.08 ± 1.61 | 47.17 ± 1.42 / 63.35 ± 1.40 | 19.92 ± 2.10 / 58.84 ± 1.15 | 47.94 ± 0.95 / 58.43 ± 0.48 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
norallm/normistral-7b-warm-instruct (few-shot) | unknown | 33 | 2048 | True | 6,194 ± 949 / 1,967 ± 619 | 2.69 | 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 |
occiglot/occiglot-7b-eu5-instruct (few-shot) | 7242 | 32 | 32768 | False | 2,088 ± 352 / 706 ± 214 | 2.69 | 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 |
Geotrend/distilbert-base-en-da-cased | 69 | 33 | 512 | True | 26,196 ± 5,956 / 5,220 ± 1,691 | 2.70 | 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 | 2.70 | 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 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 2.71 | 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 |
Qwen/Qwen1.5-4B-Chat (few-shot) | 3950 | 152 | 32768 | False | 4,347 ± 893 / 1,135 ± 365 | 2.72 | 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 |
microsoft/Phi-3-mini-4k-instruct (few-shot) | 3821 | 32 | 4096 | True | 5,224 ± 1,371 / 1,063 ± 358 | 2.72 | 41.37 ± 2.50 / 24.64 ± 2.50 | 42.60 ± 1.06 / 61.52 ± 0.75 | 6.52 ± 1.34 / 45.01 ± 2.64 | 50.57 ± 1.03 / 57.75 ± 0.64 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
Geotrend/distilbert-base-25lang-cased | 109 | 85 | 512 | True | 26,099 ± 5,881 / 5,178 ± 1,665 | 2.73 | 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 | 2.73 | 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 | 2.73 | 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 |
meta-llama/Llama-2-13b-hf (few-shot) | 13016 | 32 | 4096 | True | 2,898 ± 637 / 736 ± 236 | 2.74 | 41.28 ± 3.92 / 31.98 ± 3.26 | 23.01 ± 3.87 / 36.55 ± 6.42 | 23.50 ± 2.75 / 58.11 ± 3.45 | 60.29 ± 0.81 / 65.52 ± 0.58 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | 118 | 250 | 512 | True | 29,201 ± 6,282 / 6,045 ± 2,027 | 2.74 | 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 |
Geotrend/distilbert-base-en-no-cased | 69 | 33 | 512 | True | 26,597 ± 6,036 / 5,271 ± 1,697 | 2.75 | 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 |
LumiOpen/Viking-13B (few-shot) | 14030 | 131 | 4097 | True | 840 ± 79 / 400 ± 124 | 2.76 | 28.60 ± 4.69 / 20.29 ± 3.37 | 48.71 ± 1.27 / 60.90 ± 2.95 | 2.30 ± 1.34 / 37.21 ± 2.50 | 53.85 ± 1.73 / 58.96 ± 1.67 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
NorwAI/NorwAI-Mistral-7B (few-shot) | 7537 | 68 | 4096 | True | 3,035 ± 503 / 911 ± 300 | 2.76 | 21.47 ± 3.87 / 16.98 ± 3.19 | 48.39 ± 0.66 / 64.51 ± 1.38 | 12.46 ± 2.22 / 52.33 ± 3.21 | 52.51 ± 1.57 / 58.49 ± 1.58 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
meta-llama/Llama-2-7b-hf (few-shot) | 6738 | 32 | 4096 | True | 930 ± 310 / 128 ± 43 | 2.76 | 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 |
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) | 7242 | 32 | 32768 | False | 5,172 ± 813 / 1,647 ± 518 | 2.76 | 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 |
KBLab/megatron-bert-base-swedish-cased-125k | 135 | 64 | 512 | True | 15,763 ± 2,523 / 4,238 ± 1,370 | 2.82 | 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 |
flax-community/swe-roberta-wiki-oscar | 125 | 50 | 512 | True | 15,437 ± 2,628 / 3,834 ± 1,252 | 2.83 | 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 |
norallm/normistral-7b-warm (few-shot) | 7248 | 33 | 2048 | True | 3,175 ± 456 / 1,186 ± 354 | 2.84 | 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 |
Qwen/Qwen1.5-4B (few-shot) | 3950 | 152 | 32768 | True | 3,248 ± 739 / 761 ± 252 | 2.85 | 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 |
NorwAI/NorwAI-Llama2-7B (few-shot) | 7033 | 68 | 4096 | True | 4,438 ± 1,128 / 1,028 ± 346 | 2.87 | 16.72 ± 2.23 / 15.96 ± 2.08 | 45.89 ± 2.13 / 63.12 ± 1.98 | 11.25 ± 2.33 / 51.88 ± 2.35 | 53.17 ± 0.79 / 59.30 ± 0.66 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
HPLT/gpt-33b-nordic-prerelease (few-shot) | 33119 | 131 | 4099 | True | 501 ± 50 / 238 ± 69 | 2.88 | 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 |
mideind/IceBERT-xlmr-ic3 | 278 | 250 | 512 | True | 11,004 ± 2,244 / 2,324 ± 761 | 2.89 | 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 | 2.92 | 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 |
ibm-granite/granite-3b-code-base-2k (few-shot) | 3483 | 49 | 2048 | True | 2,732 ± 868 / 662 ± 238 | 2.97 | 38.62 ± 3.40 / 27.71 ± 3.01 | 35.47 ± 1.35 / 52.70 ± 2.05 | 5.07 ± 1.76 / 43.91 ± 4.86 | 45.21 ± 0.84 / 50.96 ± 0.94 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
KBLab/bert-base-swedish-cased-new | 135 | 64 | 512 | True | 15,933 ± 2,541 / 4,289 ± 1,376 | 3.00 | 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 |
ltg/norbert3-xs | 15 | 50 | 508 | True | 14,208 ± 2,713 / 3,059 ± 1,002 | 3.00 | 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 |
stabilityai/stablelm-2-1_6b (few-shot) | 1645 | 100 | 4096 | True | 7,259 ± 2,120 / 1,240 ± 432 | 3.01 | 28.45 ± 1.61 / 22.90 ± 1.63 | 39.09 ± 1.15 / 45.25 ± 0.82 | 1.43 ± 1.26 / 37.98 ± 2.74 | 51.67 ± 2.31 / 57.34 ± 2.60 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 |
allenai/OLMo-1.7-7B-hf (few-shot) | 6888 | 50 | 4096 | True | 3,371 ± 876 / 561 ± 184 | 3.02 | 33.80 ± 2.66 / 25.32 ± 3.06 | 31.57 ± 2.65 / 46.48 ± 3.84 | 2.76 ± 1.76 / 44.96 ± 3.93 | 54.20 ± 1.63 / 59.50 ± 1.54 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 |
HPLT/gpt-13b-nordic-prerelease (few-shot) | 14030 | 131 | 4099 | True | 3,520 ± 736 / 823 ± 273 | 3.03 | 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 |
meta-llama/Llama-3.2-1B-Instruct (few-shot) | 1236 | 128 | 131073 | False | 7,436 ± 1,846 / 1,508 ± 479 | 3.03 | 35.45 ± 2.41 / 30.39 ± 1.72 | 36.94 ± 1.08 / 49.24 ± 1.41 | 1.12 ± 2.21 / 44.63 ± 2.92 | 44.61 ± 0.84 / 53.34 ± 0.63 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
AI-Sweden-Models/gpt-sw3-20b (few-shot) | 20918 | 64 | 2048 | True | 1,875 ± 673 / 261 ± 91 | 3.04 | 27.41 ± 3.48 / 19.03 ± 1.76 | 30.23 ± 3.43 / 41.05 ± 4.38 | 11.34 ± 2.73 / 46.62 ± 5.48 | 52.80 ± 0.68 / 59.56 ± 0.57 | 9.3.1 | 12.10.0 | 9.3.1 | 9.3.1 |
Addedk/mbert-swedish-distilled-cased | 135 | 120 | 512 | True | 26,091 ± 5,835 / 5,209 ± 1,690 | 3.04 | 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 |
Addedk/kbbert-distilled-cased | 82 | 50 | 512 | True | 29,698 ± 4,287 / 8,677 ± 2,776 | 3.06 | 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 | 3.08 | 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-2-2b (few-shot) | 2614 | 256 | 8193 | True | 5,235 ± 1,226 / 1,154 ± 366 | 3.08 | 17.29 ± 2.84 / 13.87 ± 2.03 | 34.94 ± 2.71 / 42.58 ± 3.24 | 6.39 ± 2.41 / 45.03 ± 4.32 | 54.94 ± 1.00 / 59.95 ± 1.03 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
google/gemma-2b (few-shot) | 2506 | 256 | 8192 | True | 6,087 ± 1,046 / 1,902 ± 563 | 3.10 | 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 | 3.11 | 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 | 3.14 | 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 |
ibm-granite/granite-7b-base (few-shot) | 6738 | 32 | 2048 | True | 4,405 ± 1,098 / 1,032 ± 345 | 3.16 | 24.93 ± 4.36 / 22.23 ± 3.32 | 31.65 ± 2.94 / 51.95 ± 2.92 | 0.06 ± 1.20 / 34.30 ± 1.04 | 51.47 ± 1.82 / 57.00 ± 1.94 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 135 | 120 | 512 | True | 33,753 ± 8,349 / 5,937 ± 1,946 | 3.17 | 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 | 3.17 | 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 |
microsoft/Phi-3-mini-128k-instruct (few-shot) | 3821 | 32 | 131072 | True | 7,312 ± 1,668 / 1,609 ± 525 | 3.18 | 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 | 3.21 | 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 |
meta-llama/Llama-3.2-1B (few-shot) | 1236 | 128 | 131073 | True | 7,577 ± 1,884 / 1,555 ± 492 | 3.21 | 19.82 ± 4.70 / 17.20 ± 3.57 | 35.97 ± 3.00 / 49.88 ± 3.80 | 2.14 ± 2.61 / 44.16 ± 4.48 | 46.59 ± 5.44 / 51.92 ± 6.14 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
EuropeanParliament/EUBERT | 94 | 66 | 512 | True | 20,070 ± 3,977 / 4,400 ± 1,435 | 3.26 | 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 |
allenai/OLMo-7B (few-shot) | 6888 | 50 | 2051 | True | 5,403 ± 1,133 / 1,294 ± 423 | 3.27 | 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 |
google/gemma-2b-it (few-shot) | 2506 | 256 | 8192 | False | 6,471 ± 1,142 / 1,961 ± 584 | 3.29 | 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 |
dbmdz/bert-base-historic-multilingual-cased | 111 | 32 | 512 | True | 20,047 ± 4,407 / 3,844 ± 1,259 | 3.30 | 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 |
mhenrichsen/danskgpt-tiny-chat (few-shot) | 1100 | 32 | 2048 | False | 1,745 ± 978 / 686 ± 159 | 3.31 | 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 |
01-ai/Yi-1.5-6B (few-shot) | 6061 | 64 | 4097 | True | 2,867 ± 550 / 793 ± 253 | 3.32 | 35.21 ± 2.52 / 23.65 ± 2.52 | 12.73 ± 2.87 / 22.69 ± 1.80 | 4.75 ± 2.45 / 35.71 ± 3.01 | 55.95 ± 1.09 / 61.53 ± 0.75 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
dbmdz/bert-medium-historic-multilingual-cased | 42 | 32 | 512 | True | 24,291 ± 4,887 / 5,096 ± 1,655 | 3.33 | 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 | 3.36 | 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 |
norallm/normistral-7b-scratch (few-shot) | 7248 | 33 | 2048 | True | 3,192 ± 454 / 1,198 ± 357 | 3.40 | 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-sw3-6.7b (few-shot) | 7111 | 64 | 2048 | True | 2,285 ± 443 / 671 ± 205 | 3.41 | 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 |
01-ai/Yi-6B (few-shot) | 6061 | 64 | 4096 | True | 6,435 ± 1,316 / 1,632 ± 549 | 3.45 | 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 |
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) | 1445 | 64 | 2048 | True | 4,544 ± 1,000 / 1,106 ± 359 | 3.46 | 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 |
Qwen/Qwen1.5-1.8B-Chat (few-shot) | 1837 | 152 | 32768 | False | 8,304 ± 1,846 / 1,933 ± 617 | 3.46 | 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 | 3.48 | 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 |
sentence-transformers/distiluse-base-multilingual-cased-v1 | 135 | 120 | 512 | True | 34,042 ± 8,482 / 5,951 ± 1,950 | 3.50 | 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 | 3.52 | 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 |
Qwen/Qwen1.5-1.8B (few-shot) | 1837 | 152 | 32768 | True | 5,666 ± 1,328 / 1,256 ± 408 | 3.52 | 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 |
NorwAI/NorwAI-Mistral-7B-instruct (few-shot) | 7537 | 68 | 4096 | False | 3,027 ± 503 / 903 ± 296 | 3.54 | 13.78 ± 2.85 / 11.90 ± 2.13 | 42.16 ± 0.68 / 45.21 ± 0.45 | 3.52 ± 1.90 / 39.81 ± 3.18 | 20.02 ± 2.31 / 31.67 ± 2.19 | 12.10.5 | 12.10.4 | 12.10.5 | 12.10.5 |
NbAiLab/nb-gpt-j-6B-alpaca (few-shot) | 6055 | 50 | 1024 | False | 2,607 ± 592 / 680 ± 208 | 3.56 | 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 | 3.59 | 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 | 3.62 | 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 | 3.67 | 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 | 3.68 | 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 | 3.69 | 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 | 3.74 | 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 | 3.76 | 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 | 3.77 | 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 | 3.79 | 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 | 3.79 | 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 | 3.88 | 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 | 3.89 | 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 | 3.91 | 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 | 3.99 | 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 | 3.99 | 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 | 4.12 | 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 | 4.16 | 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 | 4.20 | 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 | 4.24 | 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 | 4.29 | 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 |
NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) | 7537 | 68 | 4096 | True | 3,024 ± 496 / 909 ± 301 | 4.29 | 12.82 ± 2.64 / 12.37 ± 1.95 | 3.55 ± 3.64 / 22.75 ± 4.02 | 0.68 ± 1.41 / 35.13 ± 0.98 | 19.85 ± 1.75 / 24.31 ± 1.88 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
AI-Sweden-Models/gpt-sw3-126m (few-shot) | 186 | 64 | 2048 | True | 8,958 ± 1,815 / 2,240 ± 696 | 4.30 | 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 | 4.32 | 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 | 4.52 | 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 | 4.65 | 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 | 4.78 | 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 | 4.80 | 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 | 4.83 | 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 | 4.88 | 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 | 4.90 | 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 | 4.90 | 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 |