| layout | title |
|---|---|
leaderboard |
Swedish NLU 🇸🇪 |
Include merged models
| Model ID | Parameters | Vocabulary size | Context | Commercial | Speed | Rank | SUC3 | SweReC | ScaLA-sv | ScandiQA-sv | SUC3 version | SweReC version | ScaLA-sv version | ScandiQA-sv version |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AI-Sweden-Models/Llama-3-8B-instruct (few-shot) | 8030 | 128 | 8192 | False | 4,314 ± 1,202 / 776 ± 245 | 1.07 | 88.78 ± 1.05 / 85.30 ± 1.16 | 81.73 ± 0.71 / 80.87 ± 0.96 | 75.83 ± 0.49 / 87.67 ± 0.30 | 61.35 ± 0.70 / 65.90 ± 0.55 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| gpt-4-0613 (few-shot, val) | unknown | 100 | 8192 | True | 597 ± 197 / 93 ± 33 | 1.28 | 76.86 ± 1.89 / 54.97 ± 4.44 | 79.19 ± 1.87 / 80.56 ± 1.82 | 80.93 ± 1.67 / 89.90 ± 0.93 | 53.81 ± 1.28 / 65.15 ± 1.11 | 0.0.0 | 0.0.0 | 0.0.0 | 12.9.0 |
| four-two-labs/lynx-micro (few-shot) | 2506 | 256 | 8192 | False | 10,162 ± 2,661 / 1,878 ± 623 | 1.31 | 83.64 ± 1.90 / 81.69 ± 1.52 | 78.57 ± 0.78 / 78.35 ± 0.90 | 66.83 ± 0.98 / 83.20 ± 0.51 | 58.84 ± 0.54 / 62.97 ± 0.52 | 12.10.2 | 12.10.2 | 12.10.2 | 12.10.2 |
| AI-Sweden-Models/roberta-large-1160k | 355 | 50 | 512 | True | 14,014 ± 2,384 / 3,625 ± 1,146 | 1.33 | 82.65 ± 1.04 / 80.43 ± 0.93 | 77.25 ± 1.20 / 73.96 ± 2.59 | 77.90 ± 1.45 / 88.63 ± 0.76 | 49.64 ± 1.11 / 55.64 ± 1.07 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| meta-llama/Meta-Llama-3-70B (few-shot, val) | 70554 | 128 | 8192 | True | 312 ± 55 / 177 ± 51 | 1.34 | 74.61 ± 2.99 / 56.50 ± 6.30 | 78.61 ± 1.40 / 78.64 ± 1.53 | 63.20 ± 3.34 / 80.61 ± 2.52 | 61.98 ± 1.65 / 66.85 ± 1.42 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| AI-Sweden-Models/roberta-large-1350k | 355 | 50 | 512 | True | 5,744 ± 969 / 1,539 ± 492 | 1.35 | 82.97 ± 0.98 / 81.14 ± 1.14 | 77.37 ± 1.25 / 73.57 ± 3.43 | 73.81 ± 4.60 / 86.33 ± 2.48 | 49.50 ± 1.32 / 55.34 ± 1.33 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| gpt-4-1106-preview (few-shot, val) | unknown | 100 | 128000 | True | 576 ± 221 / 81 ± 28 | 1.36 | 74.45 ± 3.09 / 49.97 ± 4.23 | 77.59 ± 1.38 / 78.78 ± 1.69 | 71.35 ± 3.10 / 83.98 ± 2.23 | 56.56 ± 1.39 / 66.76 ± 1.10 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 |
| gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 1.36 | 76.66 ± 2.11 / 60.34 ± 4.71 | 77.16 ± 2.65 / 79.22 ± 2.36 | 68.99 ± 4.33 / 83.37 ± 2.61 | 57.96 ± 1.35 / 67.71 ± 0.96 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 |
| KBLab/megatron-bert-large-swedish-cased-165k | 370 | 64 | 512 | True | 7,138 ± 1,111 / 2,067 ± 660 | 1.42 | 81.05 ± 1.34 / 76.08 ± 1.45 | 78.00 ± 0.89 / 75.01 ± 2.18 | 76.79 ± 1.70 / 87.59 ± 1.06 | 45.71 ± 1.09 / 51.70 ± 0.89 | 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 | 1.44 | 80.39 ± 1.34 / 74.83 ± 1.44 | 78.45 ± 0.79 / 77.12 ± 0.86 | 76.28 ± 1.86 / 87.37 ± 1.15 | 44.56 ± 0.52 / 50.85 ± 0.56 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| KB/bert-base-swedish-cased | 125 | 50 | 512 | True | 16,181 ± 2,451 / 4,620 ± 1,507 | 1.49 | 81.95 ± 1.55 / 76.66 ± 1.60 | 75.58 ± 1.17 / 73.35 ± 2.22 | 78.86 ± 0.83 / 89.07 ± 0.50 | 38.56 ± 1.53 / 43.79 ± 1.43 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| AI-Sweden-Models/bert-large-nordic-pile-1M-steps | 369 | 64 | 512 | True | 6,571 ± 1,331 / 1,493 ± 479 | 1.50 | 80.65 ± 2.12 / 78.69 ± 1.68 | 77.43 ± 1.07 / 75.95 ± 2.00 | 76.56 ± 1.06 / 87.86 ± 0.70 | 41.54 ± 1.50 / 46.79 ± 1.60 | 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 | 1.51 | 80.36 ± 1.12 / 78.57 ± 1.27 | 79.65 ± 1.05 / 78.90 ± 1.32 | 63.15 ± 1.65 / 81.06 ± 0.95 | 46.99 ± 1.18 / 53.49 ± 0.89 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| ltg/norbert3-large | 354 | 50 | 508 | True | 5,048 ± 824 / 1,354 ± 429 | 1.51 | 79.01 ± 1.13 / 73.76 ± 1.48 | 75.32 ± 1.55 / 69.39 ± 3.64 | 69.11 ± 1.50 / 84.32 ± 0.70 | 48.88 ± 0.87 / 54.15 ± 0.83 | 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 | 1.52 | 78.61 ± 1.45 / 72.84 ± 1.51 | 77.47 ± 0.80 / 75.77 ± 2.13 | 72.87 ± 2.36 / 85.57 ± 1.43 | 43.11 ± 0.99 / 49.29 ± 1.05 | 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 | 1.52 | 81.23 ± 1.58 / 75.95 ± 1.72 | 75.73 ± 0.72 / 73.61 ± 1.47 | 78.60 ± 0.98 / 88.95 ± 0.57 | 38.56 ± 1.53 / 43.79 ± 1.43 | 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 | 1.52 | 78.23 ± 1.53 / 72.58 ± 1.51 | 75.99 ± 1.15 / 71.01 ± 4.17 | 72.17 ± 0.94 / 85.94 ± 0.54 | 46.00 ± 2.13 / 51.05 ± 2.40 | 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 | 1.52 | 78.84 ± 2.19 / 72.86 ± 2.04 | 75.24 ± 0.99 / 72.06 ± 2.67 | 72.30 ± 1.04 / 85.77 ± 0.65 | 44.74 ± 1.04 / 50.62 ± 0.85 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| google/gemma-2-27b-it (few-shot) | 27227 | 256 | 8193 | True | 1,516 ± 257 / 480 ± 148 | 1.55 | 62.59 ± 2.04 / 45.11 ± 4.50 | 80.73 ± 0.52 / 81.25 ± 0.57 | 61.37 ± 2.06 / 79.34 ± 1.59 | 58.76 ± 1.03 / 66.73 ± 0.59 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| gpt-3.5-turbo-0613 (few-shot, val) | unknown | 100 | 4095 | True | 921 ± 293 / 113 ± 37 | 1.57 | 73.04 ± 2.74 / 61.64 ± 3.63 | 72.77 ± 2.64 / 72.56 ± 2.45 | 58.06 ± 3.84 / 76.06 ± 2.51 | 58.02 ± 2.11 / 66.84 ± 1.38 | 0.0.0 | 0.0.0 | 0.0.0 | 12.9.0 |
| gpt-3.5-turbo-0613 (few-shot) | unknown | 100 | 4096 | True | 837 ± 294 / 126 ± 43 | 1.59 | 71.43 ± 1.58 / 58.93 ± 3.29 | 77.50 ± 1.54 / 76.51 ± 1.63 | 55.99 ± 2.64 / 75.08 ± 2.22 | 55.46 ± 0.90 / 64.95 ± 0.64 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| KBLab/megatron-bert-base-swedish-cased-600k | 135 | 64 | 512 | True | 15,726 ± 2,508 / 4,234 ± 1,365 | 1.60 | 78.91 ± 1.24 / 72.93 ± 1.08 | 76.09 ± 0.81 / 72.74 ± 2.11 | 70.08 ± 2.11 / 83.40 ± 1.46 | 41.14 ± 1.18 / 47.18 ± 0.98 | 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 | 1.62 | 80.05 ± 1.13 / 74.21 ± 1.26 | 75.09 ± 1.30 / 72.93 ± 2.37 | 61.83 ± 1.28 / 79.96 ± 0.82 | 45.69 ± 1.11 / 51.07 ± 1.04 | 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 | 1.63 | 74.18 ± 2.01 / 68.89 ± 2.46 | 75.11 ± 1.19 / 74.74 ± 0.94 | 64.11 ± 3.27 / 81.63 ± 1.66 | 46.79 ± 1.61 / 52.40 ± 1.77 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| KBLab/megatron-bert-base-swedish-cased-125k | 135 | 64 | 512 | True | 15,763 ± 2,523 / 4,238 ± 1,370 | 1.65 | 79.29 ± 0.94 / 73.18 ± 0.95 | 75.85 ± 0.54 / 70.58 ± 1.96 | 70.43 ± 1.03 / 83.85 ± 0.65 | 37.56 ± 0.64 / 44.01 ± 0.43 | 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 | 1.66 | 80.02 ± 1.62 / 74.04 ± 1.75 | 76.21 ± 1.60 / 73.41 ± 2.08 | 71.92 ± 1.07 / 85.01 ± 0.74 | 33.80 ± 0.78 / 38.58 ± 0.70 | 0.0.0 | 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 | 1.66 | 79.50 ± 0.96 / 77.37 ± 0.89 | 79.48 ± 0.87 / 77.47 ± 1.64 | 53.01 ± 15.20 / 75.97 ± 7.76 | 45.68 ± 1.62 / 53.19 ± 1.02 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| vesteinn/ScandiBERT-no-faroese | 124 | 50 | 512 | True | 15,436 ± 2,820 / 3,704 ± 1,187 | 1.66 | 79.08 ± 2.32 / 73.06 ± 2.01 | 72.53 ± 0.98 / 67.74 ± 3.02 | 73.01 ± 1.43 / 85.98 ± 0.81 | 36.92 ± 2.25 / 41.99 ± 2.38 | 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 | 1.68 | 79.90 ± 1.41 / 73.80 ± 1.53 | 76.20 ± 1.16 / 74.01 ± 2.34 | 73.62 ± 1.17 / 86.19 ± 0.80 | 32.38 ± 1.23 / 37.12 ± 1.20 | 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 | 1.69 | 80.33 ± 2.50 / 75.03 ± 3.79 | 76.63 ± 0.98 / 74.25 ± 3.20 | 49.72 ± 19.88 / 69.94 ± 13.64 | 46.64 ± 1.42 / 52.21 ± 1.45 | 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 | 1.70 | 79.99 ± 1.32 / 74.07 ± 1.54 | 76.04 ± 0.97 / 72.61 ± 1.82 | 73.52 ± 2.31 / 85.57 ± 1.53 | 30.60 ± 1.30 / 35.83 ± 1.02 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-large-1 | 355 | 50 | 512 | True | 6,245 ± 1,260 / 1,416 ± 453 | 1.70 | 71.65 ± 1.55 / 69.08 ± 1.45 | 74.92 ± 0.98 / 72.01 ± 2.31 | 63.43 ± 2.30 / 81.00 ± 1.37 | 46.20 ± 1.03 / 51.94 ± 0.92 | 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 | 1.72 | 71.86 ± 1.73 / 69.05 ± 1.65 | 74.67 ± 1.43 / 71.15 ± 3.57 | 62.77 ± 3.14 / 80.75 ± 1.67 | 44.77 ± 3.06 / 50.58 ± 2.94 | 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 | 1.72 | 64.76 ± 3.91 / 61.08 ± 5.41 | 75.46 ± 1.99 / 74.35 ± 3.70 | 43.27 ± 5.03 / 65.62 ± 4.94 | 63.04 ± 1.52 / 66.95 ± 1.31 | 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 | 1.73 | 62.96 ± 3.44 / 52.14 ± 4.04 | 75.25 ± 2.41 / 78.80 ± 1.96 | 53.28 ± 3.33 / 75.37 ± 1.80 | 56.42 ± 1.65 / 65.04 ± 1.17 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| setu4993/LaBSE | 471 | 501 | 512 | True | 25,418 ± 6,435 / 4,536 ± 1,452 | 1.74 | 77.78 ± 1.69 / 72.08 ± 1.81 | 73.58 ± 1.37 / 70.43 ± 2.49 | 60.36 ± 2.98 / 79.72 ± 1.52 | 41.71 ± 1.08 / 47.07 ± 0.98 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| google/gemma-2-9b (few-shot) | 9242 | 256 | 8193 | True | 2,038 ± 406 / 566 ± 172 | 1.75 | 50.43 ± 3.97 / 27.20 ± 3.14 | 80.55 ± 1.46 / 77.22 ± 3.78 | 50.86 ± 3.91 / 72.14 ± 3.98 | 59.35 ± 1.16 / 65.35 ± 0.87 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| vesteinn/FoBERT | 124 | 50 | 512 | True | 15,623 ± 2,828 / 3,737 ± 1,191 | 1.75 | 78.58 ± 1.52 / 72.45 ± 1.57 | 73.41 ± 0.98 / 68.72 ± 3.80 | 71.14 ± 1.62 / 84.55 ± 0.97 | 31.62 ± 1.35 / 36.20 ± 1.16 | 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 | 1.76 | 81.35 ± 1.26 / 79.18 ± 1.23 | 71.16 ± 1.21 / 69.78 ± 3.24 | 63.89 ± 1.18 / 81.45 ± 0.75 | 37.18 ± 2.04 / 42.09 ± 2.23 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| google/gemma-2-9b-it (few-shot) | 9242 | 256 | 8193 | True | 2,062 ± 397 / 589 ± 178 | 1.76 | 52.50 ± 1.02 / 37.38 ± 2.57 | 78.51 ± 0.93 / 76.24 ± 1.64 | 61.28 ± 1.63 / 80.07 ± 1.22 | 55.22 ± 1.03 / 64.60 ± 0.52 | 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 | 1.78 | 78.21 ± 0.92 / 72.63 ± 0.98 | 71.05 ± 1.70 / 70.72 ± 2.74 | 56.02 ± 2.92 / 77.31 ± 1.61 | 42.52 ± 1.02 / 47.31 ± 0.99 | 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 | 1.80 | 80.38 ± 0.99 / 75.35 ± 0.88 | 71.21 ± 1.11 / 67.49 ± 2.90 | 64.03 ± 1.94 / 81.39 ± 1.29 | 35.33 ± 2.25 / 39.61 ± 2.31 | 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 | 1.80 | 80.26 ± 1.10 / 77.87 ± 1.03 | 71.05 ± 0.75 / 69.24 ± 2.39 | 62.49 ± 2.06 / 80.42 ± 1.54 | 33.80 ± 1.33 / 38.28 ± 1.45 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| pere/roberta-debug-8 | 278 | 250 | 512 | True | 15,103 ± 2,954 / 3,356 ± 1,090 | 1.80 | 74.48 ± 2.35 / 67.89 ± 2.16 | 74.58 ± 1.29 / 70.97 ± 2.41 | 69.07 ± 2.22 / 83.17 ± 1.50 | 31.66 ± 1.18 / 37.05 ± 1.10 | 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 | 1.81 | 79.02 ± 0.74 / 77.59 ± 0.76 | 76.06 ± 0.89 / 69.85 ± 3.16 | 50.19 ± 1.23 / 74.23 ± 0.99 | 40.65 ± 1.29 / 46.62 ± 1.30 | 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 | 1.83 | 72.25 ± 2.16 / 65.94 ± 2.04 | 75.04 ± 1.08 / 72.35 ± 2.45 | 70.16 ± 1.47 / 84.29 ± 0.90 | 31.89 ± 0.99 / 36.93 ± 0.90 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| meta-llama/Llama-3.1-8B (few-shot) | 8030 | 128 | 131073 | True | 2,439 ± 459 / 703 ± 219 | 1.84 | 63.85 ± 2.49 / 44.62 ± 4.10 | 79.96 ± 0.93 / 75.75 ± 2.22 | 31.70 ± 4.07 / 59.28 ± 5.00 | 59.33 ± 0.88 / 65.24 ± 0.79 | 12.11.0 | 12.11.0 | 12.11.0 | 13.0.0 |
| flax-community/swe-roberta-wiki-oscar | 125 | 50 | 512 | True | 15,437 ± 2,628 / 3,834 ± 1,252 | 1.85 | 75.40 ± 1.45 / 70.45 ± 1.62 | 76.22 ± 0.78 / 75.25 ± 1.16 | 65.73 ± 1.73 / 81.50 ± 1.14 | 29.34 ± 1.44 / 34.01 ± 1.50 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| timpal0l/Llama-3-8B-flashback-v1 (few-shot) | 8030 | 128 | 8192 | True | 4,807 ± 1,152 / 979 ± 319 | 1.86 | 59.03 ± 2.04 / 41.99 ± 4.35 | 81.13 ± 0.94 / 80.80 ± 1.09 | 33.06 ± 3.65 / 61.21 ± 3.26 | 58.21 ± 0.67 / 64.01 ± 0.68 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| pere/roberta-base-exp-32 | 278 | 250 | 512 | True | 15,081 ± 2,950 / 3,365 ± 1,092 | 1.87 | 79.75 ± 0.94 / 73.45 ± 0.86 | 74.73 ± 1.15 / 70.83 ± 3.72 | 53.55 ± 16.68 / 75.79 ± 8.05 | 32.20 ± 0.86 / 36.88 ± 0.81 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| four-two-labs/orpo-llama-3-swe (few-shot) | 8030 | 128 | 8192 | False | 4,974 ± 1,208 / 1,032 ± 342 | 1.91 | 60.93 ± 2.85 / 38.87 ± 3.50 | 79.74 ± 0.68 / 75.13 ± 1.85 | 26.02 ± 4.38 / 52.19 ± 5.44 | 59.84 ± 0.92 / 65.92 ± 0.82 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) | 8030 | 128 | 8192 | False | 5,018 ± 1,216 / 996 ± 324 | 1.91 | 65.33 ± 2.38 / 46.88 ± 3.97 | 74.99 ± 3.45 / 76.76 ± 1.80 | 32.65 ± 5.08 / 61.25 ± 4.41 | 55.71 ± 1.34 / 64.54 ± 1.00 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| meta-llama/Meta-Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,687 ± 1,121 / 967 ± 313 | 1.92 | 60.36 ± 2.84 / 39.37 ± 3.56 | 79.74 ± 0.75 / 75.11 ± 1.91 | 28.24 ± 4.19 / 55.29 ± 5.35 | 59.73 ± 1.13 / 65.72 ± 0.94 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| mistralai/Mistral-Nemo-Instruct-2407 (few-shot) | 12248 | 131 | 1024001 | True | 7,095 ± 2,193 / 1,063 ± 344 | 1.92 | 62.86 ± 1.95 / 36.42 ± 3.49 | 70.54 ± 6.38 / 73.39 ± 6.37 | 37.50 ± 2.48 / 66.32 ± 1.77 | 58.00 ± 0.85 / 65.98 ± 0.82 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| pere/roberta-base-exp-8 | 278 | 250 | 512 | True | 15,112 ± 2,969 / 3,347 ± 1,093 | 1.92 | 73.44 ± 2.81 / 67.31 ± 3.11 | 73.63 ± 1.53 / 68.42 ± 4.24 | 58.91 ± 17.49 / 77.13 ± 10.99 | 32.39 ± 1.02 / 37.33 ± 0.86 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| mistralai/Ministral-8B-Instruct-2410 (few-shot) | 8020 | 131 | 32768 | True | 5,821 ± 1,090 / 1,561 ± 506 | 1.96 | 67.49 ± 2.20 / 51.10 ± 4.76 | 76.74 ± 1.27 / 75.66 ± 1.17 | 22.37 ± 3.11 / 54.47 ± 4.95 | 57.15 ± 0.72 / 64.47 ± 0.58 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| skole-gpt (few-shot) | unknown | 32 | 32768 | False | 3,583 ± 977 / 686 ± 231 | 1.97 | 54.14 ± 2.49 / 37.43 ± 3.05 | 78.27 ± 1.32 / 77.65 ± 1.28 | 32.49 ± 1.94 / 64.28 ± 2.18 | 58.95 ± 0.96 / 66.56 ± 0.62 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| Nexusflow/Starling-LM-7B-beta (few-shot) | 7242 | 32 | 8192 | False | 5,876 ± 1,021 / 1,677 ± 546 | 1.98 | 60.38 ± 1.60 / 36.17 ± 3.66 | 77.49 ± 0.98 / 72.07 ± 1.56 | 29.32 ± 2.34 / 54.43 ± 2.67 | 56.79 ± 0.83 / 65.84 ± 0.48 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| cardiffnlp/twitter-xlm-roberta-base | 278 | 250 | 512 | True | 34,475 ± 7,465 / 6,712 ± 2,223 | 1.98 | 72.49 ± 1.68 / 67.03 ± 1.55 | 70.69 ± 1.08 / 67.03 ± 3.40 | 56.60 ± 3.25 / 76.70 ± 2.48 | 31.89 ± 1.88 / 37.63 ± 1.86 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| facebook/xlm-v-base | 778 | 902 | 512 | True | 25,396 ± 6,394 / 4,534 ± 1,421 | 1.99 | 68.39 ± 7.26 / 63.66 ± 6.41 | 73.43 ± 0.91 / 61.29 ± 1.81 | 45.09 ± 15.90 / 68.48 ± 11.31 | 38.04 ± 2.09 / 43.73 ± 1.83 | 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 | 1.99 | 57.51 ± 2.30 / 37.74 ± 3.15 | 77.31 ± 1.01 / 70.55 ± 2.26 | 25.06 ± 5.02 / 49.04 ± 4.68 | 60.16 ± 1.77 / 67.43 ± 1.02 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| Addedk/kbbert-distilled-cased | 82 | 50 | 512 | True | 29,698 ± 4,287 / 8,677 ± 2,776 | 2.00 | 80.12 ± 1.41 / 73.78 ± 1.37 | 71.28 ± 1.09 / 69.73 ± 2.94 | 51.58 ± 2.89 / 73.82 ± 2.21 | 28.16 ± 0.76 / 33.47 ± 0.62 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| merge-crew/da-sv-slerp (few-shot, val) | 7242 | 32 | 32768 | True | 2,467 ± 469 / 762 ± 244 | 2.01 | 46.57 ± 3.34 / 33.94 ± 3.73 | 76.53 ± 2.55 / 77.96 ± 3.04 | 33.43 ± 3.89 / 61.87 ± 4.02 | 59.87 ± 1.52 / 64.53 ± 1.41 | 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 | 2.01 | 47.28 ± 3.05 / 34.01 ± 3.73 | 76.62 ± 2.52 / 78.04 ± 2.98 | 33.23 ± 4.72 / 61.29 ± 4.67 | 60.00 ± 1.69 / 64.62 ± 1.44 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| pere/roberta-base-exp-32B | 278 | 250 | 512 | True | 15,103 ± 2,982 / 3,357 ± 1,081 | 2.01 | 77.97 ± 0.82 / 72.10 ± 0.94 | 73.27 ± 0.75 / 71.87 ± 1.30 | 47.19 ± 16.37 / 72.10 ± 8.03 | 31.07 ± 0.93 / 36.17 ± 0.73 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| timpal0l/BeagleCatMunin (few-shot, val) | 7242 | 32 | 32768 | False | 2,495 ± 458 / 775 ± 244 | 2.02 | 50.53 ± 3.30 / 37.77 ± 4.38 | 77.37 ± 2.25 / 78.66 ± 2.43 | 27.84 ± 4.72 / 49.46 ± 4.52 | 59.98 ± 1.65 / 65.44 ± 1.38 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 |
| timpal0l/njord-alpha (few-shot) | 7242 | 32 | 32768 | True | 5,431 ± 1,267 / 1,139 ± 365 | 2.02 | 48.19 ± 2.55 / 37.50 ± 3.62 | 79.95 ± 0.87 / 81.24 ± 0.64 | 32.85 ± 2.28 / 61.74 ± 3.05 | 57.39 ± 1.52 / 63.58 ± 1.19 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) | 10732 | 32 | 4096 | True | 3,780 ± 906 / 799 ± 261 | 2.02 | 59.65 ± 2.22 / 39.33 ± 3.33 | 77.48 ± 1.23 / 70.13 ± 2.81 | 16.94 ± 2.36 / 40.98 ± 1.82 | 62.65 ± 0.56 / 68.15 ± 0.56 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 |
| meta-llama/Llama-3.1-8B-Instruct (few-shot) | 8030 | 128 | 131073 | True | 2,411 ± 465 / 686 ± 215 | 2.03 | 71.52 ± 1.43 / 59.28 ± 3.63 | 80.46 ± 0.83 / 78.67 ± 1.13 | 12.29 ± 3.59 / 40.53 ± 4.13 | 53.54 ± 1.52 / 62.08 ± 0.98 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| microsoft/infoxlm-large | 560 | 250 | 512 | True | 6,696 ± 1,260 / 1,630 ± 515 | 2.03 | 79.53 ± 2.77 / 74.53 ± 2.70 | 75.42 ± 1.08 / 72.68 ± 3.19 | 18.44 ± 10.88 / 53.57 ± 7.20 | 48.19 ± 1.10 / 53.67 ± 0.81 | 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 | 2.04 | 62.96 ± 2.62 / 51.99 ± 5.66 | 77.13 ± 2.43 / 78.36 ± 1.88 | 15.73 ± 7.07 / 47.41 ± 5.31 | 58.43 ± 1.59 / 65.06 ± 1.19 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 |
| google-bert/bert-base-multilingual-cased | 178 | 120 | 512 | True | 14,083 ± 3,264 / 2,738 ± 889 | 2.04 | 76.29 ± 1.28 / 70.33 ± 1.16 | 61.78 ± 1.21 / 60.94 ± 3.28 | 47.74 ± 7.69 / 72.98 ± 4.74 | 41.17 ± 1.01 / 46.07 ± 1.12 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| google/gemma-7b (few-shot) | 8538 | 256 | 8067 | True | 1,378 ± 260 / 387 ± 119 | 2.04 | 43.68 ± 3.65 / 29.40 ± 3.10 | 77.72 ± 4.50 / 77.58 ± 4.13 | 36.25 ± 2.66 / 65.08 ± 2.92 | 58.62 ± 0.98 / 64.23 ± 0.88 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 |
| RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) | 7242 | 32 | 32768 | False | 3,008 ± 429 / 991 ± 323 | 2.05 | 59.36 ± 2.75 / 47.08 ± 4.17 | 72.04 ± 3.27 / 63.83 ± 2.07 | 22.38 ± 7.17 / 54.70 ± 5.49 | 57.96 ± 2.00 / 64.06 ± 1.76 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 |
| merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) | 7242 | 32 | 32768 | True | 2,443 ± 458 / 750 ± 240 | 2.05 | 46.61 ± 3.11 / 34.10 ± 4.61 | 76.38 ± 2.01 / 78.30 ± 2.42 | 34.16 ± 4.39 / 60.06 ± 4.67 | 58.77 ± 1.76 / 63.50 ± 1.47 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) | 70554 | 128 | 8192 | True | 1,673 ± 583 / 275 ± 85 | 2.05 | 77.06 ± 2.72 / 67.75 ± 5.69 | 53.56 ± 7.15 / 67.07 ± 3.93 | 47.50 ± 3.37 / 71.31 ± 2.69 | 46.86 ± 1.77 / 60.96 ± 1.04 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) | 7242 | 32 | 32768 | True | 5,054 ± 1,200 / 1,056 ± 339 | 2.05 | 44.14 ± 2.40 / 29.77 ± 4.06 | 80.14 ± 1.11 / 80.19 ± 0.78 | 34.23 ± 2.23 / 65.29 ± 2.17 | 57.07 ± 1.56 / 62.52 ± 1.11 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 |
| gpt-4o-mini-2024-07-18 (few-shot) | unknown | 200 | 128000 | True | 1,171 ± 378 / 120 ± 39 | 2.07 | 67.38 ± 1.52 / 52.86 ± 4.83 | 65.51 ± 4.81 / 67.01 ± 3.84 | 29.41 ± 10.34 / 52.38 ± 8.76 | 55.67 ± 0.89 / 66.26 ± 0.48 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 |
| meta-llama/Llama-2-13b-hf (few-shot) | 13016 | 32 | 4096 | True | 2,898 ± 637 / 736 ± 236 | 2.07 | 54.52 ± 3.33 / 44.11 ± 5.29 | 78.45 ± 1.21 / 79.73 ± 0.97 | 21.55 ± 3.74 / 49.54 ± 4.41 | 59.71 ± 0.68 / 65.01 ± 0.64 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 |
| Geotrend/bert-base-25lang-cased | 151 | 85 | 512 | True | 13,908 ± 3,201 / 2,700 ± 872 | 2.08 | 75.62 ± 1.56 / 70.17 ± 1.46 | 62.50 ± 1.10 / 60.57 ± 2.75 | 38.18 ± 7.03 / 66.99 ± 4.92 | 40.96 ± 1.11 / 45.91 ± 1.20 | 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 | 2.10 | 56.21 ± 2.49 / 44.78 ± 4.19 | 78.30 ± 1.71 / 79.80 ± 2.03 | 14.35 ± 5.65 / 48.69 ± 4.30 | 61.08 ± 1.47 / 65.72 ± 1.07 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 |
| birgermoell/Flashback-Bellman (few-shot, val) | 7242 | 32 | 32768 | False | 2,887 ± 403 / 1,144 ± 345 | 2.10 | 55.29 ± 3.95 / 41.59 ± 4.48 | 78.29 ± 1.83 / 78.77 ± 2.06 | 18.45 ± 3.00 / 46.38 ± 2.81 | 58.42 ± 1.64 / 63.83 ± 1.18 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 |
| birgermoell/Rapid-Cycling (few-shot, val) | 7242 | 32 | 32768 | False | 2,346 ± 450 / 666 ± 249 | 2.11 | 53.66 ± 3.57 / 41.97 ± 4.83 | 77.72 ± 2.51 / 78.40 ± 2.65 | 16.22 ± 4.46 / 43.17 ± 3.88 | 59.75 ± 1.13 / 64.72 ± 1.04 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 |
| google-bert/bert-base-multilingual-uncased | 167 | 106 | 512 | True | 13,993 ± 3,217 / 2,752 ± 893 | 2.11 | 70.85 ± 1.56 / 65.50 ± 1.71 | 63.30 ± 0.93 / 59.96 ± 1.80 | 48.97 ± 1.14 / 73.78 ± 0.61 | 38.00 ± 1.52 / 42.69 ± 1.62 | 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 | 2.13 | 74.88 ± 1.45 / 69.57 ± 1.83 | 61.89 ± 0.90 / 60.17 ± 3.06 | 40.22 ± 2.03 / 68.89 ± 2.06 | 39.95 ± 0.82 / 44.78 ± 0.99 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| ZurichNLP/unsup-simcse-xlm-roberta-base | 278 | 250 | 512 | True | 34,520 ± 7,443 / 6,730 ± 2,224 | 2.13 | 75.49 ± 1.09 / 74.57 ± 0.60 | 71.12 ± 0.90 / 60.88 ± 2.58 | 36.69 ± 15.58 / 65.77 ± 8.64 | 33.55 ± 2.07 / 38.90 ± 2.21 | 12.6.1 | 12.6.1 | 12.6.1 | 0.0.0 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) | 7242 | 32 | 32768 | False | 5,822 ± 1,283 / 1,336 ± 430 | 2.14 | 55.06 ± 2.38 / 41.39 ± 4.31 | 77.50 ± 0.90 / 73.87 ± 1.21 | 17.47 ± 2.33 / 47.73 ± 3.35 | 58.67 ± 0.96 / 64.58 ± 0.78 | 10.0.1 | 10.0.1 | 10.0.1 | 12.5.0 |
| danish-foundation-models/munin-7b-v0.1dev0 (few-shot) | 7242 | 32 | 8192 | True | 6,113 ± 1,044 / 1,790 ± 579 | 2.14 | 47.10 ± 2.60 / 35.06 ± 3.65 | 73.05 ± 5.27 / 74.56 ± 4.19 | 30.29 ± 2.63 / 61.40 ± 3.22 | 57.39 ± 1.38 / 63.51 ± 1.04 | 12.5.2 | 12.4.0 | 12.4.0 | 12.4.0 |
| merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) | 7242 | 32 | 32768 | True | 2,515 ± 465 / 785 ± 247 | 2.14 | 45.12 ± 2.72 / 30.73 ± 4.55 | 78.74 ± 2.13 / 80.11 ± 2.64 | 19.74 ± 6.09 / 46.97 ± 5.83 | 60.15 ± 1.71 / 65.22 ± 1.28 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| merge-crew/da-sv-ties (few-shot, val) | 7242 | 32 | 32768 | True | 2,457 ± 451 / 757 ± 237 | 2.14 | 48.36 ± 3.07 / 34.48 ± 5.22 | 76.57 ± 2.19 / 78.11 ± 2.73 | 20.94 ± 5.55 / 44.72 ± 4.06 | 59.07 ± 1.90 / 63.87 ± 1.46 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) | 7242 | 32 | 32768 | False | 2,890 ± 401 / 1,155 ± 348 | 2.15 | 52.96 ± 3.45 / 41.51 ± 4.30 | 76.99 ± 2.37 / 76.84 ± 2.99 | 14.27 ± 4.36 / 40.60 ± 3.04 | 59.92 ± 1.64 / 64.87 ± 1.47 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 |
| flax-community/nordic-roberta-wiki | 125 | 50 | 512 | True | 16,227 ± 2,650 / 4,252 ± 1,393 | 2.16 | 72.90 ± 1.37 / 66.93 ± 1.30 | 61.11 ± 1.28 / 58.97 ± 2.27 | 55.05 ± 1.64 / 76.76 ± 0.93 | 29.04 ± 1.16 / 33.60 ± 1.06 | 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 | 2.16 | 55.91 ± 3.25 / 39.73 ± 4.94 | 64.52 ± 3.15 / 70.51 ± 2.49 | 23.85 ± 7.34 / 56.89 ± 6.08 | 58.88 ± 1.51 / 65.82 ± 1.07 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| AI-Sweden-Models/Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,141 ± 994 / 905 ± 299 | 2.17 | 36.45 ± 2.44 / 27.24 ± 2.29 | 81.12 ± 1.02 / 77.04 ± 2.74 | 26.80 ± 2.07 / 59.15 ± 2.72 | 58.16 ± 0.82 / 64.72 ± 0.72 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| birgermoell/roberta-swedish-scandi | 125 | 50 | 512 | True | 15,385 ± 2,815 / 3,578 ± 1,177 | 2.17 | 68.55 ± 3.16 / 62.00 ± 2.58 | 69.96 ± 1.75 / 68.67 ± 3.21 | 52.88 ± 14.23 / 75.25 ± 7.45 | 27.99 ± 1.23 / 32.49 ± 1.27 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) | 7242 | 32 | 8192 | False | 2,549 ± 472 / 784 ± 245 | 2.17 | 61.25 ± 3.35 / 50.76 ± 5.94 | 76.03 ± 2.11 / 78.25 ± 1.95 | 16.28 ± 4.81 / 49.04 ± 3.60 | 50.96 ± 2.34 / 60.05 ± 1.18 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 |
| Mabeck/Heidrun-Mistral-7B-base (few-shot) | 7242 | 32 | 32768 | True | 3,823 ± 967 / 860 ± 280 | 2.18 | 48.43 ± 2.75 / 35.31 ± 2.80 | 79.43 ± 0.85 / 78.21 ± 1.69 | 17.37 ± 2.57 / 52.91 ± 4.93 | 57.05 ± 1.22 / 62.72 ± 0.89 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 |
| Twitter/twhin-bert-base | 279 | 250 | 512 | True | 11,514 ± 2,041 / 2,862 ± 918 | 2.18 | 70.17 ± 0.99 / 64.19 ± 1.42 | 66.62 ± 1.71 / 61.90 ± 2.61 | 46.72 ± 3.65 / 72.15 ± 2.62 | 31.38 ± 1.36 / 35.79 ± 1.33 | 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 | 2.18 | 60.87 ± 3.71 / 47.40 ± 5.32 | 73.72 ± 2.20 / 67.79 ± 2.37 | 6.78 ± 4.34 / 35.90 ± 2.11 | 58.75 ± 1.46 / 65.08 ± 1.15 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 |
| Geotrend/bert-base-en-fr-de-no-da-cased | 118 | 42 | 512 | True | 13,973 ± 3,205 / 2,725 ± 884 | 2.19 | 76.55 ± 1.28 / 70.38 ± 1.01 | 61.60 ± 1.38 / 62.28 ± 3.13 | 37.44 ± 6.65 / 66.67 ± 4.88 | 39.32 ± 1.25 / 43.87 ± 1.29 | 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 | 2.19 | 75.33 ± 0.99 / 69.89 ± 0.52 | 61.80 ± 1.76 / 58.93 ± 3.28 | 36.62 ± 5.98 / 66.91 ± 3.69 | 39.95 ± 1.95 / 44.71 ± 1.99 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| CohereForAI/aya-23-8B (few-shot) | 8028 | 256 | 8192 | False | 5,608 ± 1,062 / 1,472 ± 479 | 2.20 | 60.04 ± 1.22 / 43.93 ± 3.63 | 76.21 ± 0.85 / 67.87 ± 1.71 | 7.54 ± 2.52 / 35.42 ± 1.33 | 58.60 ± 0.59 / 63.65 ± 0.30 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| CohereForAI/aya-expanse-8b (few-shot) | 8028 | 256 | 8192 | False | 5,581 ± 1,066 / 1,471 ± 483 | 2.20 | 57.38 ± 1.93 / 29.69 ± 4.23 | 78.43 ± 0.93 / 74.54 ± 2.40 | 14.52 ± 2.43 / 45.18 ± 4.21 | 53.14 ± 1.81 / 63.00 ± 0.50 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) | 7242 | 32 | 32768 | False | 2,903 ± 407 / 1,157 ± 350 | 2.20 | 63.85 ± 2.67 / 47.77 ± 4.72 | 73.72 ± 2.98 / 62.83 ± 1.64 | -0.56 ± 2.24 / 33.54 ± 1.03 | 60.10 ± 1.48 / 66.26 ± 1.19 | 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 | 2.20 | 63.85 ± 2.67 / 47.77 ± 4.72 | 73.72 ± 2.98 / 62.83 ± 1.64 | -0.56 ± 2.24 / 33.54 ± 1.03 | 60.10 ± 1.48 / 66.26 ± 1.19 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 |
| alpindale/Mistral-7B-v0.2-hf (few-shot) | 7242 | 32 | 32768 | True | 1,841 ± 297 / 651 ± 193 | 2.21 | 48.96 ± 2.72 / 39.25 ± 3.69 | 78.90 ± 0.95 / 78.62 ± 1.08 | 10.82 ± 3.46 / 38.95 ± 3.80 | 58.91 ± 1.02 / 64.72 ± 0.76 | 12.5.2 | 12.5.1 | 12.5.1 | 12.5.1 |
| ibm-granite/granite-3.0-8b-base (few-shot) | 8171 | 49 | 4097 | True | 5,116 ± 943 / 1,436 ± 472 | 2.21 | 44.80 ± 2.36 / 34.91 ± 2.67 | 75.92 ± 2.44 / 75.77 ± 2.08 | 24.84 ± 2.78 / 59.88 ± 4.08 | 56.71 ± 1.65 / 62.01 ± 1.64 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) | 8030 | 128 | 8192 | True | 4,909 ± 1,215 / 978 ± 319 | 2.21 | 69.67 ± 1.30 / 52.94 ± 4.01 | 59.93 ± 4.70 / 67.54 ± 3.04 | 27.63 ± 3.19 / 60.85 ± 3.29 | 49.84 ± 1.61 / 60.85 ± 0.93 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| mhenrichsen/danskgpt-chat-v2.1 (few-shot) | unknown | 32 | 32768 | True | 5,085 ± 998 / 1,306 ± 404 | 2.21 | 54.37 ± 3.04 / 42.16 ± 4.00 | 75.98 ± 1.15 / 74.44 ± 1.12 | 17.98 ± 1.97 / 56.01 ± 2.08 | 55.07 ± 0.74 / 64.24 ± 0.61 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 |
| mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 2,657 ± 524 / 880 ± 278 | 2.21 | 53.34 ± 2.55 / 40.48 ± 3.66 | 80.00 ± 0.70 / 79.80 ± 0.66 | 4.61 ± 2.18 / 34.51 ± 0.86 | 58.99 ± 1.05 / 64.65 ± 0.83 | 0.0.0 | 0.0.0 | 0.0.0 | 12.5.1 |
| mistralai/Mistral-7B-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 4,120 ± 976 / 926 ± 306 | 2.21 | 49.18 ± 2.71 / 39.25 ± 3.60 | 79.08 ± 0.77 / 78.81 ± 0.94 | 11.06 ± 3.55 / 38.96 ± 3.77 | 58.98 ± 1.04 / 64.79 ± 0.79 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| bineric/NorskGPT-Llama3-8b (few-shot) | 8030 | 128 | 8192 | False | 3,695 ± 1,277 / 532 ± 183 | 2.22 | 63.19 ± 2.83 / 51.22 ± 3.61 | 76.06 ± 0.64 / 61.59 ± 0.77 | 5.34 ± 1.42 / 34.32 ± 0.56 | 56.70 ± 0.87 / 66.00 ± 0.59 | 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 | 2.23 | 71.07 ± 1.59 / 65.46 ± 1.28 | 66.42 ± 0.72 / 57.57 ± 1.23 | 69.19 ± 0.66 / 84.26 ± 0.36 | 11.85 ± 4.94 / 13.02 ± 5.55 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| mhenrichsen/hestenettetLM (few-shot) | 7242 | 32 | 32768 | True | 5,160 ± 804 / 1,654 ± 516 | 2.23 | 53.00 ± 2.53 / 39.09 ± 3.72 | 79.70 ± 0.65 / 79.45 ± 0.68 | 4.32 ± 2.19 / 34.43 ± 0.87 | 59.03 ± 1.03 / 64.74 ± 0.84 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 |
| Geotrend/bert-base-da-cased | 104 | 23 | 512 | True | 15,432 ± 2,838 / 3,642 ± 1,189 | 2.25 | 74.13 ± 1.17 / 68.93 ± 1.36 | 62.18 ± 1.26 / 59.44 ± 2.35 | 36.93 ± 6.47 / 65.97 ± 6.05 | 37.59 ± 1.99 / 41.94 ± 2.23 | 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 | 2.25 | 52.34 ± 3.07 / 39.14 ± 4.60 | 77.66 ± 2.09 / 78.59 ± 2.41 | 6.00 ± 4.15 / 36.34 ± 2.20 | 60.16 ± 1.81 / 64.12 ± 1.59 | 12.5.2 | 12.3.1 | 12.3.1 | 12.3.2 |
| ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) | 7242 | 32 | 32768 | False | 3,006 ± 479 / 1,053 ± 319 | 2.25 | 44.64 ± 1.66 / 31.30 ± 2.96 | 77.98 ± 1.01 / 72.79 ± 2.47 | 16.57 ± 2.58 / 51.86 ± 3.69 | 57.31 ± 0.92 / 63.73 ± 1.04 | 11.0.0 | 11.0.0 | 11.0.0 | 12.4.0 |
| meta-llama/Llama-2-13b-chat-hf (few-shot) | 13016 | 32 | 4096 | True | 2,849 ± 622 / 723 ± 229 | 2.25 | 49.90 ± 2.28 / 35.48 ± 3.44 | 77.19 ± 2.05 / 79.13 ± 1.43 | 14.67 ± 2.27 / 53.90 ± 2.24 | 57.12 ± 0.70 / 63.72 ± 0.73 | 12.10.5 | 12.10.4 | 12.10.4 | 12.11.0 |
| ltg/norbert3-small | 41 | 50 | 508 | True | 13,515 ± 2,514 / 3,042 ± 1,004 | 2.26 | 74.22 ± 1.37 / 68.68 ± 1.40 | 63.80 ± 1.56 / 57.65 ± 2.24 | 37.77 ± 5.16 / 65.87 ± 4.30 | 31.45 ± 0.94 / 35.81 ± 0.94 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| danish-foundation-models/munin-7b-alpha (few-shot) | 7242 | 32 | 32768 | True | 6,116 ± 1,049 / 1,784 ± 577 | 2.27 | 42.23 ± 2.44 / 30.30 ± 4.71 | 78.80 ± 0.93 / 75.28 ± 1.78 | 15.47 ± 1.79 / 54.26 ± 3.41 | 56.75 ± 1.15 / 62.43 ± 0.95 | 12.5.2 | 12.4.0 | 12.4.0 | 12.4.0 |
| ibm-granite/granite-3.0-8b-instruct (few-shot) | 8171 | 49 | 4096 | True | 5,090 ± 937 / 1,423 ± 466 | 2.27 | 44.94 ± 2.91 / 35.67 ± 3.53 | 76.78 ± 1.63 / 78.27 ± 1.22 | 16.96 ± 2.77 / 55.03 ± 3.49 | 56.83 ± 1.02 / 63.13 ± 0.89 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| DDSC/roberta-base-scandinavian | 125 | 50 | 512 | True | 14,491 ± 2,800 / 3,182 ± 1,026 | 2.28 | 58.84 ± 13.92 / 53.63 ± 12.63 | 72.28 ± 0.79 / 71.62 ± 1.38 | 37.61 ± 17.89 / 66.93 ± 9.43 | 30.59 ± 0.68 / 35.43 ± 0.61 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| jhu-clsp/bernice | 278 | 250 | 128 | True | 5,567 ± 450 / 2,483 ± 798 | 2.28 | 71.34 ± 0.91 / 65.04 ± 1.33 | 70.91 ± 1.23 / 67.12 ± 3.79 | 53.52 ± 1.22 / 76.15 ± 0.53 | 16.41 ± 4.10 / 18.47 ± 4.44 | 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 | 2.29 | 58.40 ± 2.62 / 40.55 ± 3.65 | 74.30 ± 1.26 / 60.35 ± 0.41 | 0.00 ± 0.00 / 33.37 ± 0.27 | 59.16 ± 1.23 / 65.78 ± 0.72 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 |
| timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) | 7242 | 32 | 32768 | False | 5,172 ± 813 / 1,647 ± 518 | 2.29 | 46.74 ± 4.30 / 33.57 ± 4.51 | 77.06 ± 1.82 / 79.02 ± 1.37 | 14.00 ± 1.59 / 53.89 ± 3.10 | 56.74 ± 0.52 / 63.45 ± 0.49 | 12.5.2 | 12.3.2 | 12.3.2 | 12.4.0 |
| meta-llama/Llama-3.2-3B (few-shot) | 3213 | 128 | 131073 | True | 3,713 ± 877 / 836 ± 267 | 2.30 | 51.06 ± 2.85 / 31.63 ± 3.67 | 77.76 ± 1.09 / 67.88 ± 3.15 | 5.88 ± 3.89 / 38.51 ± 4.84 | 57.43 ± 1.04 / 62.93 ± 0.94 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| microsoft/xlm-align-base | 278 | 250 | 512 | True | 14,744 ± 2,870 / 3,265 ± 1,053 | 2.30 | 78.60 ± 1.91 / 73.04 ± 2.25 | 73.67 ± 1.48 / 68.61 ± 3.14 | 15.41 ± 4.59 / 53.29 ± 3.93 | 32.41 ± 3.14 / 37.13 ± 3.07 | 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 | 2.30 | 72.33 ± 0.82 / 67.15 ± 0.85 | 67.77 ± 1.19 / 62.98 ± 2.57 | 33.79 ± 7.61 / 64.01 ± 6.84 | 32.71 ± 0.77 / 37.46 ± 0.64 | 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 | 2.32 | 50.85 ± 2.44 / 39.65 ± 3.83 | 74.17 ± 2.12 / 76.62 ± 1.83 | 7.51 ± 1.94 / 37.81 ± 1.76 | 57.32 ± 0.63 / 63.28 ± 0.71 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
| occiglot/occiglot-7b-eu5 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 2.33 | 49.02 ± 3.23 / 41.69 ± 3.74 | 76.56 ± 1.52 / 78.16 ± 1.12 | 2.18 ± 2.34 / 36.26 ± 3.89 | 58.98 ± 0.95 / 63.65 ± 0.89 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 |
| sentence-transformers/stsb-xlm-r-multilingual | 278 | 250 | 512 | True | 15,040 ± 2,953 / 3,417 ± 1,100 | 2.33 | 68.94 ± 1.53 / 62.54 ± 1.20 | 72.77 ± 0.89 / 68.13 ± 1.56 | 40.21 ± 2.53 / 67.11 ± 1.86 | 20.09 ± 1.31 / 25.99 ± 1.19 | 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 | 2.34 | 44.11 ± 4.26 / 31.64 ± 4.48 | 79.05 ± 1.08 / 75.52 ± 2.66 | 7.34 ± 3.19 / 43.83 ± 5.31 | 57.49 ± 0.95 / 63.16 ± 0.77 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 |
| senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 2.34 | 58.90 ± 1.34 / 42.48 ± 3.97 | 67.74 ± 2.79 / 71.89 ± 1.89 | 16.52 ± 2.55 / 46.30 ± 2.62 | 49.41 ± 1.21 / 59.91 ± 0.48 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| bineric/NorskGPT-Llama-13B-v0.1 (few-shot) | unknown | 32 | 4096 | False | 2,856 ± 645 / 709 ± 243 | 2.37 | 49.26 ± 2.31 / 36.92 ± 4.05 | 79.05 ± 0.80 / 77.87 ± 2.06 | 0.22 ± 0.43 / 33.38 ± 0.26 | 56.78 ± 1.02 / 63.61 ± 0.61 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 2.37 | 59.77 ± 3.55 / 45.71 ± 4.91 | 74.45 ± 1.19 / 72.26 ± 0.89 | 3.97 ± 1.50 / 34.79 ± 0.80 | 50.18 ± 1.05 / 56.07 ± 0.89 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| sentence-transformers/paraphrase-xlm-r-multilingual-v1 | 278 | 250 | 512 | True | 20,154 ± 4,438 / 3,890 ± 1,256 | 2.37 | 70.22 ± 1.49 / 63.97 ± 1.48 | 71.33 ± 1.20 / 65.44 ± 3.64 | 39.60 ± 5.87 / 66.60 ± 3.19 | 18.65 ± 1.15 / 24.75 ± 0.98 | 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 | 2.38 | 79.43 ± 1.07 / 74.17 ± 1.10 | 71.48 ± 2.63 / 65.72 ± 4.78 | 7.26 ± 2.18 / 45.42 ± 4.53 | 33.72 ± 1.71 / 38.23 ± 1.57 | 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 | 10,424 ± 2,641 / 2,081 ± 666 | 2.40 | 43.74 ± 2.58 / 34.37 ± 2.59 | 76.98 ± 1.31 / 71.38 ± 3.20 | 16.01 ± 2.24 / 51.83 ± 3.50 | 48.38 ± 1.78 / 57.83 ± 0.99 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| mlabonne/AlphaMonarch-7B (few-shot, val) | 7242 | 32 | 8192 | False | 5,340 ± 1,262 / 1,157 ± 375 | 2.40 | 60.53 ± 3.06 / 48.45 ± 5.19 | 67.03 ± 3.61 / 70.77 ± 1.95 | 15.10 ± 4.60 / 48.57 ± 2.91 | 42.46 ± 1.63 / 53.50 ± 1.40 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| LumiOpen/Viking-33B@1000B (few-shot) | 33119 | 131 | 4099 | True | 2,080 ± 700 / 331 ± 117 | 2.41 | 42.35 ± 1.51 / 28.31 ± 3.87 | 77.68 ± 1.11 / 78.86 ± 0.93 | 8.08 ± 1.69 / 50.52 ± 2.25 | 54.57 ± 1.25 / 60.34 ± 1.10 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 |
| occiglot/occiglot-7b-eu5-instruct (few-shot) | 7242 | 32 | 32768 | False | 2,088 ± 352 / 706 ± 214 | 2.41 | 47.67 ± 2.81 / 36.91 ± 3.50 | 71.73 ± 2.40 / 74.97 ± 1.84 | 7.90 ± 3.20 / 41.24 ± 4.78 | 57.78 ± 0.79 / 64.48 ± 0.73 | 12.5.2 | 12.2.0 | 12.3.1 | 12.4.0 |
| Twitter/twhin-bert-large | 561 | 250 | 512 | True | 9,707 ± 1,664 / 2,549 ± 831 | 2.42 | 74.26 ± 1.65 / 68.20 ± 1.70 | 63.35 ± 5.43 / 60.33 ± 5.50 | 16.07 ± 10.73 / 52.48 ± 7.50 | 36.77 ± 3.78 / 41.72 ± 3.83 | 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 | 2.42 | 76.31 ± 1.29 / 70.91 ± 1.27 | 73.32 ± 1.13 / 70.21 ± 3.74 | 32.29 ± 10.98 / 62.21 ± 5.02 | 16.12 ± 5.80 / 19.52 ± 6.73 | 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 | 2.42 | 70.08 ± 1.38 / 64.46 ± 1.31 | 59.66 ± 1.22 / 56.16 ± 2.13 | 33.71 ± 1.12 / 65.32 ± 0.86 | 31.48 ± 1.85 / 36.44 ± 1.87 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| ibm-granite/granite-8b-code-instruct-4k (few-shot) | 8055 | 49 | 4096 | True | 5,617 ± 995 / 1,623 ± 540 | 2.42 | 52.85 ± 2.76 / 35.11 ± 3.66 | 73.93 ± 1.58 / 73.97 ± 1.19 | 8.27 ± 2.90 / 43.29 ± 4.82 | 48.49 ± 0.77 / 54.50 ± 0.73 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| 01-ai/Yi-6B (few-shot) | 6061 | 64 | 4096 | True | 6,435 ± 1,316 / 1,632 ± 549 | 2.43 | 46.69 ± 2.39 / 32.97 ± 4.57 | 75.39 ± 1.06 / 71.95 ± 1.42 | 2.91 ± 2.80 / 35.26 ± 2.12 | 54.95 ± 0.86 / 60.77 ± 0.75 | 9.3.2 | 10.0.0 | 10.0.0 | 12.5.1 |
| allenai/OLMo-1.7-7B-hf (few-shot) | 6888 | 50 | 4096 | True | 3,371 ± 876 / 561 ± 184 | 2.43 | 41.25 ± 2.07 / 32.87 ± 2.49 | 76.60 ± 0.98 / 64.63 ± 2.41 | 6.37 ± 2.08 / 49.55 ± 3.34 | 54.87 ± 0.64 / 61.35 ± 0.68 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 |
| tollefj/nordavind-7b-instruct-warm (few-shot) | 7248 | 33 | 2048 | False | 6,450 ± 961 / 2,082 ± 658 | 2.44 | 47.24 ± 3.36 / 24.94 ± 3.21 | 77.91 ± 1.42 / 76.08 ± 2.54 | 5.55 ± 2.55 / 48.57 ± 3.21 | 51.41 ± 0.74 / 57.55 ± 0.69 | 12.5.2 | 12.3.2 | 12.3.2 | 12.4.0 |
| sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | 278 | 250 | 512 | True | 15,100 ± 3,019 / 3,369 ± 1,103 | 2.45 | 65.14 ± 1.57 / 59.82 ± 1.39 | 73.47 ± 0.84 / 70.20 ± 2.49 | 36.62 ± 6.55 / 66.09 ± 5.35 | 18.65 ± 0.91 / 25.00 ± 0.87 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| Geotrend/distilbert-base-25lang-cased | 109 | 85 | 512 | True | 26,099 ± 5,881 / 5,178 ± 1,665 | 2.46 | 70.56 ± 1.36 / 64.49 ± 1.43 | 60.69 ± 0.46 / 56.69 ± 1.35 | 30.83 ± 1.47 / 63.39 ± 1.60 | 31.41 ± 1.05 / 36.45 ± 1.05 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) | 7800 | 100 | 4096 | True | 6,197 ± 1,118 / 1,730 ± 577 | 2.46 | 42.87 ± 3.17 / 40.34 ± 2.52 | 79.18 ± 0.46 / 76.66 ± 1.44 | 8.65 ± 1.60 / 46.95 ± 3.15 | 51.56 ± 0.79 / 57.58 ± 0.79 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| ibm-granite/granite-3.0-2b-instruct (few-shot) | 2634 | 49 | 4097 | True | 10,194 ± 2,403 / 2,193 ± 731 | 2.46 | 45.23 ± 3.64 / 37.99 ± 4.03 | 72.76 ± 2.25 / 72.65 ± 2.38 | 11.25 ± 2.04 / 51.22 ± 3.26 | 52.22 ± 0.70 / 59.36 ± 0.78 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 2.46 | 45.01 ± 2.11 / 27.59 ± 3.35 | 73.33 ± 1.98 / 76.19 ± 1.59 | 11.59 ± 3.45 / 40.89 ± 4.15 | 52.12 ± 1.42 / 59.29 ± 1.17 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 2.46 | 47.92 ± 2.66 / 33.00 ± 3.24 | 62.90 ± 2.44 / 70.61 ± 1.19 | 19.95 ± 2.24 / 56.49 ± 2.10 | 52.51 ± 0.36 / 61.42 ± 0.52 | 9.2.0 | 9.2.0 | 9.3.1 | 12.4.0 |
| Geotrend/distilbert-base-en-da-cased | 69 | 33 | 512 | True | 26,196 ± 5,956 / 5,220 ± 1,691 | 2.48 | 69.62 ± 0.88 / 63.51 ± 1.33 | 59.42 ± 1.21 / 55.74 ± 1.26 | 29.01 ± 2.06 / 62.65 ± 1.37 | 31.82 ± 1.07 / 36.82 ± 1.14 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| MaLA-LM/emma-500-llama2-7b (few-shot) | 6738 | 32 | 4096 | True | 6,275 ± 1,193 / 1,755 ± 578 | 2.48 | 41.49 ± 2.82 / 38.09 ± 2.86 | 75.64 ± 1.51 / 76.06 ± 1.42 | 0.66 ± 1.97 / 33.73 ± 0.54 | 57.48 ± 0.54 / 63.85 ± 0.46 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| AI-Sweden-Models/gpt-sw3-40b (few-shot) | 39927 | 64 | 2048 | True | 409 ± 53 / 182 ± 54 | 2.49 | 32.00 ± 3.27 / 17.02 ± 2.03 | 80.44 ± 0.54 / 77.81 ± 1.18 | 10.73 ± 2.53 / 51.37 ± 4.05 | 53.80 ± 0.86 / 60.53 ± 0.78 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 |
| Geotrend/distilbert-base-en-fr-de-no-da-cased | 76 | 42 | 512 | True | 26,081 ± 5,875 / 5,209 ± 1,692 | 2.49 | 69.94 ± 1.11 / 63.93 ± 1.47 | 59.83 ± 1.11 / 55.15 ± 0.99 | 29.82 ± 1.23 / 63.32 ± 1.41 | 31.13 ± 1.15 / 36.20 ± 1.22 | 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 | 2.49 | 69.28 ± 1.15 / 63.61 ± 1.27 | 59.53 ± 1.69 / 57.93 ± 2.20 | 29.36 ± 1.50 / 63.60 ± 0.89 | 30.42 ± 1.54 / 35.34 ± 1.63 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| dbmdz/bert-base-historic-multilingual-cased | 111 | 32 | 512 | True | 20,047 ± 4,407 / 3,844 ± 1,259 | 2.49 | 68.83 ± 1.00 / 63.29 ± 1.48 | 64.25 ± 1.66 / 63.62 ± 2.92 | 28.62 ± 9.43 / 59.33 ± 5.91 | 28.78 ± 2.01 / 34.26 ± 2.03 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 2,518 ± 463 / 779 ± 243 | 2.49 | 54.38 ± 2.92 / 39.66 ± 5.20 | 55.84 ± 2.51 / 66.96 ± 1.37 | 16.05 ± 2.15 / 54.22 ± 2.86 | 53.22 ± 0.88 / 61.85 ± 0.63 | 9.2.0 | 9.2.0 | 9.2.0 | 12.4.0 |
| 01-ai/Yi-1.5-6B (few-shot) | 6061 | 64 | 4097 | True | 2,867 ± 550 / 793 ± 253 | 2.50 | 45.55 ± 2.18 / 26.78 ± 3.65 | 70.71 ± 1.99 / 71.19 ± 1.14 | 4.83 ± 3.48 / 36.64 ± 2.95 | 55.25 ± 1.21 / 61.21 ± 0.89 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| Geotrend/distilbert-base-da-cased | 61 | 23 | 512 | True | 28,950 ± 5,114 / 7,010 ± 2,267 | 2.50 | 69.25 ± 1.37 / 63.90 ± 1.27 | 58.47 ± 1.30 / 56.03 ± 2.36 | 29.80 ± 1.57 / 63.53 ± 0.90 | 30.61 ± 1.31 / 35.37 ± 1.52 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| NorwAI/NorwAI-Mistral-7B (few-shot) | 7537 | 68 | 4096 | True | 3,035 ± 503 / 911 ± 300 | 2.50 | 23.88 ± 7.28 / 17.99 ± 3.56 | 80.26 ± 0.89 / 77.89 ± 0.89 | 13.50 ± 2.27 / 52.55 ± 2.86 | 55.02 ± 0.96 / 60.74 ± 0.89 | 12.10.5 | 12.10.4 | 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 | 2.50 | 32.37 ± 3.05 / 24.60 ± 3.81 | 75.33 ± 2.41 / 77.99 ± 2.58 | 12.73 ± 6.32 / 45.51 ± 7.43 | 53.05 ± 1.83 / 58.32 ± 1.46 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) | 20918 | 64 | 2048 | True | 1,875 ± 673 / 261 ± 91 | 2.51 | 31.86 ± 5.09 / 21.95 ± 3.90 | 79.20 ± 1.03 / 79.87 ± 1.11 | 12.26 ± 1.97 / 46.90 ± 4.11 | 53.58 ± 0.97 / 60.28 ± 0.81 | 9.3.1 | 12.10.0 | 9.3.1 | 9.3.1 |
| norallm/normistral-7b-warm (few-shot) | 7248 | 33 | 2048 | True | 3,175 ± 456 / 1,186 ± 354 | 2.51 | 48.78 ± 5.08 / 26.81 ± 3.42 | 76.09 ± 1.23 / 74.78 ± 1.97 | 2.53 ± 2.80 / 47.37 ± 2.29 | 48.93 ± 0.97 / 55.09 ± 0.85 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 |
| google/gemma-2-2b-it (few-shot) | 2614 | 256 | 8193 | True | 5,374 ± 1,233 / 1,193 ± 377 | 2.52 | 35.61 ± 2.19 / 26.05 ± 2.45 | 75.84 ± 1.41 / 77.22 ± 1.09 | 15.62 ± 1.67 / 51.30 ± 3.09 | 47.76 ± 0.92 / 58.65 ± 0.83 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| Addedk/mbert-swedish-distilled-cased | 135 | 120 | 512 | True | 26,091 ± 5,835 / 5,209 ± 1,690 | 2.55 | 73.41 ± 1.54 / 66.98 ± 1.68 | 62.10 ± 1.18 / 60.27 ± 2.82 | 34.86 ± 1.29 / 66.98 ± 0.77 | 18.10 ± 2.67 / 21.09 ± 3.18 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| ibm-granite/granite-3b-code-base-2k (few-shot) | 3483 | 49 | 2048 | True | 2,732 ± 868 / 662 ± 238 | 2.55 | 51.76 ± 4.53 / 41.73 ± 6.65 | 70.61 ± 1.12 / 60.47 ± 1.13 | 6.24 ± 3.11 / 46.34 ± 5.43 | 44.67 ± 1.34 / 50.56 ± 1.33 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) | 3821 | 32 | 4096 | False | 1,360 ± 179 / 566 ± 190 | 2.56 | 47.81 ± 2.60 / 27.94 ± 5.79 | 68.43 ± 2.12 / 68.82 ± 2.65 | 3.63 ± 1.46 / 43.69 ± 4.56 | 53.03 ± 0.62 / 58.80 ± 0.59 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| google/gemma-2-2b (few-shot) | 2614 | 256 | 8193 | True | 5,235 ± 1,226 / 1,154 ± 366 | 2.58 | 30.45 ± 3.49 / 23.98 ± 3.18 | 76.36 ± 1.10 / 65.98 ± 2.36 | 6.06 ± 2.07 / 49.80 ± 2.71 | 55.19 ± 0.71 / 60.59 ± 0.61 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | 118 | 250 | 512 | True | 29,201 ± 6,282 / 6,045 ± 2,027 | 2.58 | 66.50 ± 1.49 / 59.99 ± 1.40 | 72.19 ± 0.71 / 67.88 ± 2.34 | 28.75 ± 5.58 / 63.30 ± 2.60 | 15.91 ± 0.87 / 23.08 ± 0.95 | 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 | 2.59 | 31.55 ± 4.67 / 18.37 ± 2.73 | 78.66 ± 1.03 / 78.34 ± 1.13 | 5.69 ± 2.24 / 44.98 ± 3.55 | 52.93 ± 1.30 / 57.87 ± 1.27 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) | 6738 | 32 | 4096 | False | 5,384 ± 879 / 1,746 ± 553 | 2.59 | 53.95 ± 1.89 / 42.16 ± 4.59 | 60.91 ± 2.35 / 59.47 ± 1.21 | 0.32 ± 0.62 / 33.39 ± 0.28 | 55.28 ± 0.62 / 63.41 ± 0.55 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 |
| microsoft/Phi-3-mini-4k-instruct (few-shot) | 3821 | 32 | 4096 | True | 5,224 ± 1,371 / 1,063 ± 358 | 2.59 | 46.15 ± 2.77 / 24.28 ± 3.74 | 67.17 ± 1.93 / 70.99 ± 1.64 | 5.30 ± 1.62 / 47.01 ± 3.23 | 51.12 ± 1.02 / 57.49 ± 0.81 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| mideind/IceBERT-xlmr-ic3 | 278 | 250 | 512 | True | 11,004 ± 2,244 / 2,324 ± 761 | 2.59 | 70.57 ± 1.07 / 70.41 ± 0.93 | 66.01 ± 1.43 / 57.28 ± 0.85 | 10.20 ± 5.38 / 50.80 ± 4.15 | 30.71 ± 0.94 / 36.08 ± 0.92 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| stabilityai/stablelm-2-1_6b (few-shot) | 1645 | 100 | 4096 | True | 7,259 ± 2,120 / 1,240 ± 432 | 2.60 | 38.00 ± 4.39 / 29.74 ± 5.04 | 75.15 ± 0.55 / 61.46 ± 0.82 | 1.04 ± 2.08 / 34.49 ± 1.17 | 53.11 ± 0.53 / 58.91 ± 0.32 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) | 7111 | 64 | 2048 | True | 2,351 ± 448 / 707 ± 216 | 2.61 | 28.73 ± 3.63 / 20.43 ± 3.72 | 77.47 ± 1.36 / 78.60 ± 1.25 | 8.78 ± 2.01 / 42.28 ± 3.17 | 50.57 ± 0.94 / 56.51 ± 0.79 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 |
| NorwAI/NorwAI-Llama2-7B (few-shot) | 7033 | 68 | 3969 | True | 4,438 ± 1,128 / 1,028 ± 346 | 2.61 | 24.98 ± 2.04 / 25.50 ± 1.92 | 79.36 ± 1.35 / 76.34 ± 3.44 | 5.75 ± 2.23 / 41.27 ± 4.75 | 54.74 ± 0.84 / 60.74 ± 0.65 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| ibm-granite/granite-3.0-2b-base (few-shot) | 2534 | 49 | 4097 | True | 10,187 ± 2,363 / 2,204 ± 737 | 2.62 | 36.54 ± 2.70 / 28.79 ± 3.85 | 68.85 ± 5.19 / 70.02 ± 3.95 | 2.60 ± 2.58 / 40.21 ± 4.08 | 54.58 ± 0.89 / 59.78 ± 0.77 | 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 | 2.63 | 51.45 ± 3.13 / 26.49 ± 3.00 | 63.64 ± 3.74 / 65.08 ± 2.46 | 5.80 ± 1.74 / 51.04 ± 1.54 | 48.95 ± 1.00 / 57.09 ± 0.92 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| HPLT/gpt-33b-nordic-prerelease (few-shot) | 33119 | 131 | 4099 | True | 501 ± 50 / 238 ± 69 | 2.64 | 33.61 ± 6.02 / 22.18 ± 4.32 | 76.75 ± 1.17 / 74.66 ± 1.20 | 1.66 ± 1.36 / 33.60 ± 0.30 | 50.68 ± 1.94 / 56.96 ± 1.73 | 12.9.1 | 12.9.1 | 12.10.0 | 12.10.0 |
| dbmdz/bert-medium-historic-multilingual-cased | 42 | 32 | 512 | True | 24,291 ± 4,887 / 5,096 ± 1,655 | 2.64 | 66.11 ± 1.24 / 61.03 ± 1.08 | 59.66 ± 1.84 / 55.24 ± 1.32 | 26.28 ± 8.44 / 59.64 ± 5.68 | 24.36 ± 0.92 / 30.54 ± 0.96 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) | 3374 | 49 | 4096 | True | 10,246 ± 3,021 / 1,629 ± 550 | 2.64 | 40.68 ± 2.32 / 24.33 ± 2.43 | 68.96 ± 2.04 / 72.76 ± 1.25 | 4.77 ± 1.97 / 43.64 ± 5.60 | 49.73 ± 0.76 / 56.63 ± 0.69 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 2.64 | 39.72 ± 2.82 / 29.85 ± 2.99 | 66.18 ± 3.25 / 72.00 ± 1.75 | 6.74 ± 1.66 / 45.55 ± 4.31 | 54.05 ± 0.84 / 60.90 ± 0.82 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 |
| Qwen/Qwen1.5-4B-Chat (few-shot) | 3950 | 152 | 32768 | False | 4,347 ± 893 / 1,135 ± 365 | 2.66 | 40.19 ± 2.97 / 31.88 ± 4.51 | 64.08 ± 2.44 / 69.62 ± 1.29 | 5.43 ± 2.02 / 38.32 ± 2.54 | 53.21 ± 1.08 / 59.57 ± 0.97 | 12.5.2 | 10.0.1 | 12.1.0 | 12.5.2 |
| birgermoell/NeuralBeagle-Flashback (few-shot, val) | 7242 | 32 | 32768 | False | 2,904 ± 405 / 1,155 ± 349 | 2.69 | 51.73 ± 4.51 / 40.50 ± 6.05 | 36.06 ± 3.31 / 53.46 ± 1.79 | 19.42 ± 5.08 / 46.92 ± 5.36 | 59.26 ± 1.66 / 64.40 ± 1.35 | 9.3.0 | 9.3.0 | 9.3.0 | 12.5.2 |
| ibm-granite/granite-3b-code-instruct-2k (few-shot) | 3483 | 49 | 2048 | True | 9,059 ± 1,947 / 2,201 ± 728 | 2.70 | 50.10 ± 4.30 / 42.80 ± 5.47 | 65.67 ± 3.92 / 64.00 ± 3.84 | 4.55 ± 2.18 / 45.11 ± 4.32 | 42.83 ± 1.02 / 49.35 ± 1.09 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| HPLT/gpt-13b-nordic-prerelease (few-shot) | 14030 | 131 | 4099 | True | 3,520 ± 736 / 823 ± 273 | 2.71 | 32.19 ± 4.64 / 24.93 ± 4.09 | 72.26 ± 6.90 / 72.58 ± 5.87 | 2.39 ± 1.29 / 48.49 ± 2.46 | 48.92 ± 2.28 / 53.44 ± 2.49 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| ibm-granite/granite-7b-base (few-shot) | 6738 | 32 | 2048 | True | 4,405 ± 1,098 / 1,032 ± 345 | 2.71 | 33.34 ± 3.41 / 30.50 ± 3.44 | 72.00 ± 1.15 / 69.12 ± 2.00 | 0.25 ± 1.72 / 43.46 ± 3.96 | 52.53 ± 1.03 / 57.96 ± 0.98 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| meta-llama/Llama-3.2-1B-Instruct (few-shot) | 1236 | 128 | 131073 | False | 7,436 ± 1,846 / 1,508 ± 479 | 2.71 | 41.60 ± 2.74 / 37.22 ± 3.26 | 71.86 ± 2.01 / 71.15 ± 2.16 | 3.72 ± 1.40 / 48.04 ± 1.96 | 43.57 ± 1.35 / 52.90 ± 1.42 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 135 | 120 | 512 | True | 33,753 ± 8,349 / 5,937 ± 1,946 | 2.73 | 65.50 ± 1.20 / 59.72 ± 1.22 | 68.33 ± 1.03 / 64.03 ± 2.47 | 14.81 ± 6.63 / 55.50 ± 4.28 | 16.11 ± 1.18 / 22.88 ± 1.34 | 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 | 2.73 | 65.50 ± 1.20 / 59.72 ± 1.22 | 68.36 ± 1.18 / 63.94 ± 2.47 | 14.81 ± 6.63 / 55.50 ± 4.28 | 16.11 ± 1.18 / 22.88 ± 1.34 | 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 | 2.74 | 37.36 ± 2.11 / 28.59 ± 3.03 | 72.08 ± 1.20 / 63.52 ± 3.36 | -0.86 ± 1.61 / 33.84 ± 0.59 | 45.16 ± 0.96 / 51.46 ± 0.93 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| LumiOpen/Viking-7B (few-shot) | 7550 | 131 | 4096 | True | 4,969 ± 1,109 / 1,134 ± 374 | 2.77 | 30.64 ± 4.19 / 23.90 ± 3.44 | 72.02 ± 3.18 / 72.36 ± 3.96 | 1.08 ± 1.36 / 38.63 ± 3.03 | 48.72 ± 1.05 / 54.59 ± 1.10 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| meta-llama/Llama-3.2-1B (few-shot) | 1236 | 128 | 131073 | True | 7,577 ± 1,884 / 1,555 ± 492 | 2.78 | 29.89 ± 7.13 / 27.65 ± 6.45 | 74.33 ± 1.07 / 73.73 ± 1.77 | 1.06 ± 1.79 / 43.95 ± 3.08 | 46.89 ± 2.72 / 52.70 ± 3.39 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| DDSC/roberta-base-danish | 125 | 50 | 512 | True | 15,004 ± 2,964 / 3,290 ± 1,092 | 2.80 | 65.95 ± 1.70 / 60.53 ± 1.38 | 64.02 ± 2.78 / 62.27 ± 4.19 | 0.80 ± 0.78 / 47.24 ± 3.43 | 28.46 ± 0.90 / 33.13 ± 0.88 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) | 1711 | 49 | 8192 | True | 15,971 ± 3,654 / 3,609 ± 1,197 | 2.80 | 37.37 ± 1.87 / 26.31 ± 3.34 | 64.46 ± 3.06 / 69.83 ± 2.00 | 4.49 ± 1.96 / 46.63 ± 4.39 | 43.92 ± 1.06 / 49.57 ± 1.17 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-1.7B (few-shot) | 1711 | 49 | 8192 | True | 16,249 ± 3,690 / 3,689 ± 1,226 | 2.84 | 35.96 ± 3.50 / 26.41 ± 4.11 | 68.31 ± 1.43 / 72.51 ± 1.03 | 3.61 ± 1.79 / 49.47 ± 1.68 | 43.26 ± 1.85 / 49.32 ± 1.97 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) | 20918 | 64 | 2048 | True | 1,831 ± 587 / 268 ± 90 | 2.85 | 15.70 ± 1.54 / 14.65 ± 1.52 | 68.23 ± 3.81 / 71.17 ± 3.07 | 12.39 ± 1.39 / 50.99 ± 3.37 | 52.04 ± 0.97 / 60.86 ± 0.77 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
| google/gemma-2b (few-shot) | 2506 | 256 | 8192 | True | 6,087 ± 1,046 / 1,902 ± 563 | 2.85 | 14.67 ± 4.71 / 14.85 ± 3.77 | 75.45 ± 1.10 / 64.08 ± 1.47 | 3.82 ± 1.23 / 44.81 ± 3.55 | 51.73 ± 0.88 / 57.35 ± 0.82 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 |
| ltg/norbert3-xs | 15 | 50 | 508 | True | 14,208 ± 2,713 / 3,059 ± 1,002 | 2.87 | 67.53 ± 1.66 / 62.96 ± 1.62 | 59.27 ± 2.14 / 55.26 ± 1.73 | 2.83 ± 2.01 / 49.25 ± 1.48 | 24.11 ± 2.76 / 27.79 ± 2.63 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| microsoft/Phi-3-mini-128k-instruct (few-shot) | 3821 | 32 | 130947 | True | 7,312 ± 1,668 / 1,609 ± 525 | 2.87 | 42.36 ± 1.67 / 21.33 ± 2.90 | 51.53 ± 6.32 / 62.14 ± 3.43 | 3.11 ± 1.60 / 47.93 ± 2.93 | 51.11 ± 0.96 / 57.21 ± 0.95 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 |
| sarnikowski/convbert-medium-small-da-cased | 24 | 29 | 512 | True | 13,821 ± 2,209 / 3,547 ± 1,184 | 2.90 | 58.01 ± 1.23 / 53.87 ± 1.25 | 57.67 ± 1.61 / 53.64 ± 0.68 | 13.40 ± 4.31 / 55.37 ± 2.61 | 24.92 ± 0.80 / 30.11 ± 0.83 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| ibm-granite/granite-3.0-3b-a800m-base (few-shot) | 3374 | 49 | 4096 | True | 10,504 ± 3,028 / 1,678 ± 559 | 2.91 | 36.01 ± 3.07 / 24.61 ± 4.22 | 57.18 ± 5.33 / 62.72 ± 5.30 | 1.52 ± 2.14 / 38.30 ± 3.62 | 51.04 ± 0.95 / 56.97 ± 0.96 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) | 1445 | 64 | 2048 | True | 4,544 ± 1,000 / 1,106 ± 359 | 2.92 | 19.04 ± 2.67 / 19.98 ± 2.64 | 73.34 ± 1.34 / 68.41 ± 2.31 | 2.90 ± 1.74 / 44.43 ± 4.49 | 47.45 ± 0.58 / 54.69 ± 0.56 | 12.5.2 | 9.3.1 | 12.1.0 | 12.4.0 |
| allenai/OLMo-7B-Twin-2T (few-shot) | 6888 | 50 | 2051 | True | 5,484 ± 1,125 / 1,317 ± 425 | 2.92 | 20.49 ± 7.78 / 19.50 ± 6.82 | 70.04 ± 2.28 / 60.77 ± 3.00 | 2.28 ± 1.77 / 36.86 ± 3.97 | 45.85 ± 1.19 / 51.08 ± 1.21 | 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 | 2.93 | 47.19 ± 9.01 / 44.34 ± 8.27 | 56.57 ± 1.41 / 53.47 ± 0.84 | 20.92 ± 4.12 / 59.05 ± 1.86 | 23.86 ± 1.25 / 30.47 ± 1.51 | 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 | 2.95 | 27.07 ± 6.33 / 25.24 ± 4.89 | 61.96 ± 2.69 / 67.81 ± 2.27 | 2.65 ± 1.46 / 40.25 ± 4.08 | 46.16 ± 0.91 / 52.35 ± 0.87 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 |
| google/gemma-7b-it (few-shot) | 8538 | 256 | 8192 | False | 1,792 ± 249 / 668 ± 203 | 2.99 | 59.26 ± 2.00 / 52.73 ± 2.71 | 28.63 ± 1.24 / 50.95 ± 0.75 | 11.43 ± 1.88 / 53.31 ± 1.74 | 46.67 ± 1.97 / 53.24 ± 1.72 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| sarnikowski/electra-small-discriminator-da-256-cased | 13 | 29 | 512 | True | 20,340 ± 3,185 / 5,178 ± 1,700 | 2.99 | 52.79 ± 1.21 / 48.47 ± 0.71 | 57.93 ± 1.56 / 53.71 ± 0.61 | 14.72 ± 2.01 / 55.92 ± 1.11 | 20.54 ± 0.97 / 26.37 ± 0.75 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| state-spaces/mamba-2.8b-hf (few-shot) | 2768 | 50 | 32769 | True | 2,722 ± 495 / 766 ± 250 | 3.02 | 23.25 ± 1.99 / 20.55 ± 2.20 | 71.70 ± 1.09 / 71.01 ± 2.36 | -0.82 ± 2.23 / 40.80 ± 4.30 | 40.48 ± 1.52 / 46.93 ± 1.61 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) | 7111 | 64 | 2048 | True | 2,383 ± 451 / 718 ± 221 | 3.05 | 14.58 ± 1.30 / 14.79 ± 1.27 | 56.60 ± 3.37 / 62.73 ± 3.61 | 10.92 ± 1.83 / 52.63 ± 2.98 | 50.18 ± 0.54 / 57.90 ± 0.53 | 9.2.0 | 9.2.0 | 9.2.0 | 12.4.0 |
| AI-Sweden-Models/gpt-sw3-1.3b (few-shot) | 1445 | 64 | 2048 | True | 4,608 ± 988 / 1,115 ± 354 | 3.06 | 6.08 ± 5.75 / 8.77 ± 4.46 | 71.38 ± 1.76 / 73.21 ± 1.18 | 1.17 ± 1.07 / 49.78 ± 0.86 | 45.55 ± 0.85 / 51.69 ± 0.79 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 |
| NorwAI/NorwAI-Mistral-7B-instruct (few-shot) | 7537 | 68 | 3969 | False | 3,027 ± 503 / 903 ± 296 | 3.07 | 20.97 ± 2.51 / 16.21 ± 2.03 | 77.76 ± 0.75 / 67.99 ± 2.31 | 2.35 ± 1.63 / 38.48 ± 1.53 | 28.65 ± 2.11 / 38.84 ± 1.85 | 12.10.5 | 12.10.4 | 12.10.5 | 12.10.5 |
| sarnikowski/convbert-small-da-cased | 13 | 29 | 512 | True | 14,273 ± 2,312 / 3,555 ± 1,187 | 3.07 | 55.06 ± 0.96 / 51.37 ± 1.03 | 53.70 ± 1.46 / 51.98 ± 0.58 | 12.38 ± 3.23 / 55.18 ± 1.91 | 22.53 ± 0.86 / 27.59 ± 0.94 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| Maltehb/danish-bert-botxo | 111 | 32 | 512 | True | 16,091 ± 2,427 / 4,575 ± 1,485 | 3.08 | 50.29 ± 1.22 / 47.15 ± 1.18 | 57.42 ± 1.88 / 56.53 ± 1.66 | 4.94 ± 1.62 / 51.57 ± 1.19 | 24.16 ± 1.28 / 30.28 ± 1.18 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| danish-foundation-models/encoder-medium-v1 | 111 | 32 | 512 | True | 16,130 ± 2,433 / 4,566 ± 1,473 | 3.08 | 49.62 ± 2.01 / 46.05 ± 2.11 | 58.70 ± 2.54 / 58.15 ± 3.35 | 2.23 ± 2.12 / 46.43 ± 4.85 | 25.45 ± 0.75 / 30.80 ± 0.81 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| EuropeanParliament/EUBERT | 94 | 66 | 512 | True | 20,070 ± 3,977 / 4,400 ± 1,435 | 3.11 | 38.36 ± 1.60 / 37.63 ± 1.73 | 59.00 ± 1.72 / 56.25 ± 1.72 | 19.40 ± 5.65 / 58.63 ± 3.13 | 19.23 ± 0.59 / 26.64 ± 0.90 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| norallm/normistral-7b-scratch (few-shot) | 7248 | 33 | 2048 | True | 3,192 ± 454 / 1,198 ± 357 | 3.13 | 13.79 ± 8.46 / 14.43 ± 7.23 | 71.59 ± 2.78 / 59.82 ± 1.71 | -0.89 ± 1.22 / 43.82 ± 3.45 | 38.33 ± 1.79 / 44.00 ± 1.70 | 10.0.0 | 10.0.0 | 10.0.0 | 10.0.0 |
| jannesg/bertsson | 124 | 50 | 512 | True | 15,314 ± 2,786 / 3,666 ± 1,201 | 3.15 | 51.13 ± 2.13 / 46.67 ± 1.98 | 61.67 ± 1.40 / 59.12 ± 2.44 | 2.87 ± 1.53 / 48.92 ± 2.37 | 17.24 ± 1.13 / 25.10 ± 1.06 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| jannikskytt/MeDa-Bert | 111 | 32 | 511 | True | 16,114 ± 2,429 / 4,566 ± 1,482 | 3.15 | 48.32 ± 1.62 / 45.04 ± 1.50 | 53.98 ± 2.05 / 52.94 ± 1.88 | 3.33 ± 2.12 / 51.06 ± 1.15 | 23.15 ± 2.61 / 29.17 ± 2.19 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| AI-Sweden-Models/gpt-sw3-6.7b (few-shot) | 7111 | 64 | 2048 | True | 2,285 ± 443 / 671 ± 205 | 3.16 | 18.83 ± 6.41 / 17.59 ± 4.55 | 53.68 ± 10.39 / 58.92 ± 10.87 | 3.49 ± 2.20 / 46.13 ± 4.13 | 49.81 ± 0.70 / 55.99 ± 0.69 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 | 135 | 120 | 512 | True | 34,042 ± 8,482 / 5,951 ± 1,950 | 3.19 | 49.86 ± 1.85 / 44.53 ± 1.58 | 60.06 ± 1.30 / 55.65 ± 1.34 | 3.18 ± 1.63 / 48.38 ± 1.42 | 16.08 ± 2.60 / 23.46 ± 3.10 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) | 1837 | 152 | 32768 | False | 8,304 ± 1,846 / 1,933 ± 617 | 3.23 | 20.94 ± 3.73 / 18.26 ± 2.84 | 52.54 ± 3.33 / 60.44 ± 3.13 | 0.34 ± 1.22 / 36.61 ± 1.57 | 43.55 ± 1.14 / 50.53 ± 1.40 | 12.5.2 | 11.0.0 | 12.1.0 | 12.5.0 |
| mhenrichsen/danskgpt-tiny-chat (few-shot) | 1100 | 32 | 2048 | False | 1,745 ± 978 / 686 ± 159 | 3.23 | 27.31 ± 4.23 / 26.33 ± 4.40 | 45.94 ± 12.82 / 55.94 ± 8.25 | -0.97 ± 1.64 / 36.69 ± 2.34 | 35.57 ± 2.45 / 41.66 ± 2.41 | 9.1.2 | 9.1.2 | 9.1.2 | 12.4.0 |
| Maltehb/aelaectra-danish-electra-small-cased | 14 | 32 | 128 | True | 4,593 ± 114 / 3,034 ± 973 | 3.24 | 57.82 ± 1.40 / 54.55 ± 1.33 | 55.68 ± 1.09 / 52.81 ± 0.44 | 19.26 ± 1.80 / 58.62 ± 1.22 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v2 | 135 | 120 | 512 | True | 33,247 ± 8,123 / 6,017 ± 1,977 | 3.24 | 51.67 ± 1.46 / 53.62 ± 1.02 | 62.71 ± 0.81 / 57.24 ± 1.73 | 2.32 ± 1.83 / 48.77 ± 1.62 | 8.76 ± 1.03 / 17.62 ± 1.24 | 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 | 3.24 | 51.67 ± 1.46 / 53.62 ± 1.02 | 63.04 ± 0.70 / 56.50 ± 1.19 | 2.32 ± 1.83 / 48.77 ± 1.62 | 8.93 ± 1.00 / 17.75 ± 1.16 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| dbmdz/bert-mini-historic-multilingual-cased | 12 | 32 | 512 | True | 47,122 ± 9,661 / 9,714 ± 3,152 | 3.25 | 50.07 ± 4.14 / 47.04 ± 3.83 | 56.10 ± 1.85 / 52.92 ± 0.76 | 5.05 ± 2.27 / 51.08 ± 1.44 | 14.49 ± 1.13 / 22.34 ± 1.16 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| Qwen/Qwen1.5-1.8B (few-shot) | 1837 | 152 | 32768 | True | 5,666 ± 1,328 / 1,256 ± 408 | 3.26 | 18.01 ± 6.41 / 18.55 ± 4.65 | 51.91 ± 4.78 / 59.44 ± 4.65 | 1.49 ± 1.95 / 40.76 ± 4.07 | 44.83 ± 0.63 / 51.87 ± 0.72 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 |
| google/gemma-2b-it (few-shot) | 2506 | 256 | 8192 | False | 6,471 ± 1,142 / 1,961 ± 584 | 3.26 | 33.51 ± 2.12 / 23.48 ± 2.69 | 43.97 ± 1.64 / 57.41 ± 1.18 | 0.53 ± 1.09 / 39.60 ± 1.99 | 39.39 ± 1.04 / 47.28 ± 1.02 | 12.5.2 | 12.1.0 | 12.1.0 | 12.4.0 |
| NbAiLab/nb-gpt-j-6B-alpaca (few-shot) | 6055 | 50 | 1024 | False | 2,607 ± 592 / 680 ± 208 | 3.30 | 13.28 ± 4.32 / 13.40 ± 2.95 | 60.17 ± 8.39 / 65.99 ± 4.66 | 1.52 ± 1.94 / 45.19 ± 3.80 | 37.23 ± 1.07 / 46.83 ± 0.82 | 9.3.1 | 10.0.1 | 10.0.1 | 12.4.0 |
| jjzha/dajobbert-base-uncased | 110 | 32 | 512 | True | 16,243 ± 2,428 / 4,593 ± 1,484 | 3.36 | 42.99 ± 1.57 / 39.98 ± 1.42 | 55.49 ± 1.28 / 55.99 ± 2.15 | 4.69 ± 2.28 / 51.01 ± 1.58 | 14.22 ± 1.90 / 20.83 ± 1.46 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) | 471 | 64 | 2048 | True | 5,855 ± 1,373 / 1,223 ± 391 | 3.37 | 14.84 ± 1.63 / 15.90 ± 1.71 | 59.00 ± 3.60 / 54.09 ± 1.46 | 0.06 ± 1.21 / 34.76 ± 1.15 | 34.37 ± 1.36 / 40.44 ± 1.53 | 12.5.2 | 9.3.2 | 12.1.0 | 12.4.0 |
| Maltehb/aelaectra-danish-electra-small-uncased | 14 | 32 | 128 | True | 5,995 ± 135 / 3,839 ± 1,247 | 3.43 | 39.17 ± 4.06 / 36.74 ± 3.78 | 57.71 ± 1.40 / 53.54 ± 0.59 | 17.10 ± 2.57 / 57.41 ± 1.03 | 0.11 ± 0.11 / 0.13 ± 0.12 | 0.0.0 | 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 | 3.47 | 22.38 ± 3.00 / 22.09 ± 2.85 | 31.11 ± 12.17 / 36.84 ± 11.52 | 0.09 ± 0.67 / 33.42 ± 0.30 | 44.36 ± 1.34 / 50.14 ± 1.15 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 |
| Qwen/Qwen1.5-4B (few-shot) | 3950 | 152 | 32768 | True | 3,248 ± 739 / 761 ± 252 | 3.50 | 37.26 ± 4.28 / 29.89 ± 5.96 | 5.20 ± 7.35 / 30.65 ± 4.97 | 1.85 ± 1.54 / 33.71 ± 0.46 | 54.15 ± 0.58 / 60.15 ± 0.59 | 12.5.2 | 9.3.2 | 12.1.0 | 12.1.0 |
| AI-Sweden-Models/gpt-sw3-356m (few-shot) | 471 | 64 | 2048 | True | 5,758 ± 1,348 / 1,215 ± 391 | 3.55 | 23.77 ± 3.70 / 23.06 ± 3.46 | 34.29 ± 11.64 / 36.76 ± 7.46 | 1.57 ± 1.70 / 40.84 ± 1.99 | 33.70 ± 1.46 / 38.82 ± 1.54 | 9.3.1 | 9.3.1 | 9.3.2 | 12.5.1 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) | 620 | 152 | 32768 | False | 11,740 ± 3,000 / 2,209 ± 721 | 3.59 | 18.57 ± 4.62 / 17.69 ± 4.61 | 40.23 ± 5.86 / 49.01 ± 4.77 | 0.21 ± 1.06 / 39.60 ± 3.61 | 29.49 ± 2.47 / 35.01 ± 2.72 | 12.5.2 | 11.0.0 | 12.1.0 | 12.4.0 |
| mhenrichsen/danskgpt-tiny (few-shot) | 1100 | 32 | 2048 | True | 8,597 ± 1,983 / 1,926 ± 600 | 3.61 | 23.92 ± 6.88 / 22.42 ± 6.73 | 31.93 ± 14.68 / 43.80 ± 8.79 | 0.46 ± 1.91 / 43.45 ± 3.64 | 30.81 ± 2.73 / 35.67 ± 2.95 | 0.0.0 | 0.0.0 | 0.0.0 | 12.5.1 |
| 3ebdola/Dialectal-Arabic-XLM-R-Base | 278 | 250 | 512 | True | 12,783 ± 2,537 / 2,712 ± 885 | 3.63 | 42.78 ± 3.26 / 40.46 ± 3.04 | 44.95 ± 2.30 / 48.17 ± 1.06 | 1.43 ± 1.34 / 48.66 ± 2.45 | 8.71 ± 2.58 / 16.77 ± 2.50 | 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 | 3.63 | 28.96 ± 2.39 / 26.49 ± 3.14 | 26.58 ± 5.12 / 28.64 ± 5.35 | -1.88 ± 1.46 / 35.45 ± 2.92 | 34.59 ± 1.06 / 40.95 ± 1.11 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 |
| allenai/OLMo-1B (few-shot) | 1177 | 50 | 2051 | True | 8,536 ± 1,926 / 1,940 ± 619 | 3.64 | 29.39 ± 3.08 / 29.93 ± 3.14 | 38.95 ± 11.78 / 43.61 ± 8.46 | -1.35 ± 1.76 / 40.70 ± 4.25 | 17.85 ± 3.77 / 20.30 ± 4.04 | 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 | 3.72 | 26.87 ± 2.26 / 25.42 ± 2.14 | 57.41 ± 1.89 / 53.50 ± 0.75 | -1.06 ± 1.33 / 48.72 ± 0.87 | 5.54 ± 1.44 / 10.83 ± 2.62 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| RabotaRu/HRBert-mini | 80 | 200 | 512 | True | 54,951 ± 11,500 / 11,401 ± 3,819 | 3.78 | 24.61 ± 1.58 / 23.05 ± 1.43 | 52.31 ± 1.22 / 51.51 ± 0.49 | 1.32 ± 1.87 / 46.80 ± 4.29 | 2.86 ± 0.73 / 8.44 ± 2.01 | 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 | 3.81 | 22.47 ± 1.55 / 20.74 ± 1.42 | 53.88 ± 1.97 / 52.30 ± 1.04 | 1.55 ± 1.62 / 44.06 ± 3.56 | 1.12 ± 0.85 / 3.07 ± 1.91 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| fresh-electra-small | 14 | 31 | 512 | True | 7,840 ± 1,538 / 3,024 ± 438 | 3.96 | 10.54 ± 1.12 / 9.71 ± 1.00 | 55.54 ± 2.75 / 52.75 ± 1.09 | -0.15 ± 0.52 / 35.33 ± 3.00 | 0.02 ± 0.03 / 0.04 ± 0.05 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| fresh-xlm-roberta-base | 278 | 250 | 512 | True | 2,214 ± 94 / 1,494 ± 229 | 3.97 | 11.91 ± 3.04 / 11.31 ± 2.90 | 51.11 ± 5.32 / 50.09 ± 3.33 | 0.86 ± 0.82 / 39.16 ± 3.63 | 2.00 ± 0.63 / 7.20 ± 1.68 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| HuggingFaceTB/SmolLM2-360M (few-shot) | 362 | 49 | 8192 | True | 22,023 ± 6,203 / 3,675 ± 1,231 | 3.98 | 18.22 ± 1.75 / 17.97 ± 2.10 | 11.52 ± 7.20 / 29.30 ± 5.30 | 1.72 ± 1.21 / 34.96 ± 1.12 | 27.27 ± 3.03 / 31.25 ± 3.24 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) | 186 | 64 | 2048 | True | 7,717 ± 1,553 / 2,013 ± 625 | 4.08 | 23.05 ± 2.31 / 24.35 ± 1.99 | 12.47 ± 7.10 / 23.03 ± 8.78 | 0.08 ± 0.16 / 33.34 ± 0.30 | 20.43 ± 2.69 / 24.25 ± 2.67 | 9.3.2 | 9.3.2 | 11.0.0 | 12.4.0 |
| HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) | 362 | 49 | 8192 | True | 21,777 ± 6,115 / 3,617 ± 1,211 | 4.16 | 13.64 ± 5.84 / 16.38 ± 4.06 | 9.34 ± 6.26 / 26.00 ± 3.56 | 2.20 ± 1.59 / 41.62 ± 3.37 | 26.06 ± 2.35 / 30.05 ± 2.29 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| NbAiLab/nb-gpt-j-6B-v2 (few-shot) | 6051 | 50 | 1024 | False | 2,556 ± 580 / 681 ± 214 | 4.19 | 0.31 ± 0.55 / 0.29 ± 0.50 | 27.42 ± 12.16 / 38.74 ± 10.05 | 0.07 ± 1.06 / 35.80 ± 1.73 | 17.82 ± 11.21 / 31.12 ± 8.39 | 9.3.1 | 10.0.1 | 11.0.0 | 12.5.1 |
| NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) | 7537 | 68 | 3969 | True | 3,024 ± 496 / 909 ± 301 | 4.26 | 9.75 ± 3.30 / 9.18 ± 3.19 | 17.76 ± 4.89 / 28.16 ± 7.50 | 1.22 ± 0.95 / 43.54 ± 3.79 | 14.98 ± 2.49 / 18.46 ± 2.99 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| NbAiLab/nb-gpt-j-6B@sharded (few-shot) | unknown | 50 | 1024 | True | 2,630 ± 605 / 684 ± 217 | 4.29 | 0.01 ± 0.02 / 0.11 ± 0.12 | 33.50 ± 13.13 / 39.30 ± 11.93 | -0.02 ± 0.60 / 34.92 ± 2.99 | 4.79 ± 3.55 / 18.06 ± 2.80 | 9.3.1 | 10.0.1 | 10.0.1 | 12.5.1 |
| HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) | 135 | 49 | 8192 | True | 25,602 ± 7,583 / 3,953 ± 1,325 | 4.31 | 17.09 ± 2.33 / 18.78 ± 2.11 | 7.41 ± 9.32 / 28.42 ± 3.18 | 0.47 ± 1.48 / 38.19 ± 3.61 | 11.73 ± 3.22 / 13.94 ± 3.48 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| RJuro/kanelsnegl-v0.1 (few-shot) | 7242 | 32 | 512 | True | 5,847 ± 1,029 / 1,640 ± 525 | 4.37 | 0.00 ± 0.00 / 0.00 ± 0.00 | 34.63 ± 9.69 / 40.92 ± 6.88 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 8.92 ± 2.90 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 |
| AI-Sweden-Models/gpt-sw3-126m (few-shot) | 186 | 64 | 2048 | True | 8,958 ± 1,815 / 2,240 ± 696 | 4.44 | 5.66 ± 4.11 / 8.37 ± 3.24 | 8.15 ± 8.87 / 24.31 ± 7.12 | -0.81 ± 1.16 / 36.81 ± 2.47 | 16.40 ± 2.88 / 19.18 ± 3.18 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 |
| HuggingFaceTB/SmolLM2-135M (few-shot) | 135 | 49 | 8192 | True | 26,346 ± 7,812 / 4,082 ± 1,372 | 4.46 | 19.15 ± 1.75 / 20.52 ± 1.77 | -3.03 ± 7.40 / 24.39 ± 3.87 | 0.06 ± 1.12 / 36.05 ± 2.59 | 14.18 ± 3.82 / 16.55 ± 4.25 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| RJuro/kanelsnegl-v0.2 (few-shot) | 7242 | 32 | 512 | True | 1,373 ± 120 / 709 ± 172 | 4.48 | 0.00 ± 0.00 / 0.00 ± 0.00 | 28.62 ± 12.67 / 35.36 ± 8.35 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 19.59 ± 6.84 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| peter-sk/gpt-neox-da (few-shot) | 1515 | 50 | 1024 | True | 6,025 ± 1,442 / 1,342 ± 431 | 4.71 | 0.26 ± 0.16 / 0.26 ± 0.14 | 4.75 ± 2.54 / 27.85 ± 1.59 | -0.60 ± 1.56 / 40.53 ± 2.93 | 0.06 ± 0.09 / 1.07 ± 0.35 | 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 | 4.72 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 19.32 ± 0.16 | 0.49 ± 1.29 / 39.12 ± 3.92 | 6.24 ± 3.13 / 7.85 ± 3.67 | 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 | 4.73 | 1.47 ± 1.90 / 1.32 ± 1.69 | 5.50 ± 4.49 / 28.77 ± 3.76 | -2.19 ± 1.29 / 40.52 ± 3.02 | 0.10 ± 0.06 / 4.36 ± 0.44 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| Sigurdur/qa-icebreaker (few-shot) | 110 | 32 | 1024 | False | 44,889 ± 6,944 / 13,506 ± 4,256 | 4.87 | 0.00 ± 0.00 / 0.00 ± 0.00 | -0.10 ± 1.04 / 22.69 ± 0.52 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 0.02 ± 0.01 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| ssmits/Falcon2-5.5B-multilingual (few-shot) | 5465 | 65 | 8192 | True | 7,692 ± 1,423 / 1,960 ± 644 | 4.87 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 19.16 ± 0.14 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 0.00 ± 0.00 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| Sigurdur/icebreaker (few-shot) | 110 | 32 | 1024 | False | 48,619 ± 7,681 / 13,831 ± 4,404 | 4.92 | 0.00 ± 0.00 / 0.00 ± 0.00 | -3.60 ± 3.63 / 20.29 ± 1.99 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 0.05 ± 0.03 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |