| layout | title |
|---|---|
leaderboard |
Faroese NLU 🇫🇴 |
Include merged models
| Model ID | Parameters | Vocabulary size | Context | Commercial | Speed | Rank | FoNE | FoSent | ScaLA-fo | FoQA | FoNE version | FoSent version | ScaLA-fo version | FoQA version |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gpt-4-1106-preview (few-shot, val) | unknown | 100 | 128000 | True | 576 ± 221 / 81 ± 28 | 2.10 | 86.51 ± 2.01 / 85.01 ± 2.45 | 38.22 ± 8.49 / 52.33 ± 6.78 | 35.09 ± 5.70 / 65.72 ± 3.27 | 58.65 ± 3.25 / 81.93 ± 2.20 | 12.5.1 | 13.3.0 | 12.5.1 | 13.0.0 |
| vesteinn/FoBERT | 124 | 50 | 512 | True | 15,623 ± 2,828 / 3,737 ± 1,191 | 2.19 | 91.31 ± 0.69 / 91.79 ± 0.47 | 10.69 ± 5.70 / 26.65 ± 6.61 | 64.39 ± 1.55 / 81.38 ± 1.04 | 27.09 ± 1.55 / 36.68 ± 1.88 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| meta-llama/Llama-3.1-405B-Instruct-FP8 (few-shot) | 405869 | 128 | 131072 | True | 799 ± 246 / 112 ± 38 | 2.38 | 81.95 ± 1.35 / 81.71 ± 1.81 | 53.25 ± 1.76 / 50.18 ± 1.09 | 14.29 ± 2.45 / 40.76 ± 1.85 | 60.41 ± 1.26 / 79.84 ± 0.96 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| Qwen/Qwen2.5-72B-Instruct (few-shot) | 72706 | 152 | 32768 | True | 1,219 ± 412 / 158 ± 53 | 2.41 | 76.56 ± 1.09 / 58.59 ± 3.63 | 46.61 ± 1.58 / 47.25 ± 1.29 | 23.45 ± 2.41 / 59.84 ± 1.99 | 55.28 ± 2.18 / 77.14 ± 1.37 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Llama-3.1-70B-Instruct (few-shot) | 70554 | 128 | 131072 | True | 1,409 ± 457 / 186 ± 63 | 2.42 | 79.04 ± 1.57 / 69.20 ± 3.32 | 52.33 ± 2.11 / 49.69 ± 1.21 | 15.72 ± 2.73 / 53.70 ± 3.15 | 59.08 ± 1.71 / 79.21 ± 1.19 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot) | 28411 | 256 | 4096 | True | 3,633 ± 1,236 / 777 ± 220 | 2.52 | 81.30 ± 1.24 / 73.31 ± 3.51 | 60.99 ± 2.59 / 72.95 ± 1.68 | 12.49 ± 3.30 / 49.82 ± 2.65 | 48.47 ± 1.72 / 70.99 ± 1.42 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Llama-3.3-70B-Instruct (few-shot) | 70554 | 128 | 131072 | True | 1,353 ± 443 / 180 ± 61 | 2.54 | 78.46 ± 1.42 / 66.11 ± 4.28 | 51.60 ± 1.99 / 49.29 ± 1.20 | 17.25 ± 3.90 / 53.45 ± 4.72 | 50.98 ± 1.67 / 72.58 ± 1.07 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| NbAiLab/nb-roberta-base-scandi-1e4 | 277 | 250 | 512 | True | 15,074 ± 2,990 / 3,347 ± 1,080 | 2.65 | 90.52 ± 0.47 / 90.83 ± 0.40 | 11.53 ± 8.77 / 32.97 ± 9.54 | 44.99 ± 11.76 / 71.54 ± 5.83 | 25.14 ± 1.72 / 34.64 ± 1.98 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| gpt-4o-2024-05-13 (zero-shot, val) | unknown | 200 | 8191 | True | 637 ± 306 / 92 ± 31 | 2.68 | 68.00 ± 1.08 / 37.75 ± 1.09 | 27.30 ± 4.69 / 30.12 ± 3.11 | 28.09 ± 3.31 / 54.91 ± 2.24 | 58.59 ± 1.88 / 77.38 ± 1.63 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| CohereForAI/c4ai-command-r-08-2024 (few-shot) | 32296 | 256 | 131072 | False | 1,909 ± 646 / 248 ± 84 | 2.72 | 73.26 ± 1.78 / 63.41 ± 3.03 | 47.71 ± 2.52 / 64.44 ± 1.96 | 10.41 ± 2.22 / 54.04 ± 1.47 | 57.08 ± 1.61 / 73.87 ± 1.31 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| Qwen/QwQ-32B-Preview (few-shot) | 32764 | 152 | 32768 | True | 2,258 ± 1,221 / 198 ± 67 | 2.72 | 77.19 ± 1.09 / 72.79 ± 2.09 | 45.55 ± 2.05 / 46.59 ± 1.05 | 16.92 ± 1.77 / 55.66 ± 2.98 | 47.51 ± 2.79 / 69.45 ± 2.43 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (few-shot) | 70554 | 128 | 131072 | True | 1,208 ± 412 / 156 ± 53 | 2.72 | 64.88 ± 1.71 / 37.91 ± 1.50 | 52.56 ± 2.14 / 49.94 ± 1.21 | 14.28 ± 1.04 / 45.93 ± 2.64 | 50.11 ± 1.82 / 74.50 ± 0.82 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| sentence-transformers/use-cmlm-multilingual | 470 | 501 | 512 | True | 30,231 ± 8,171 / 4,863 ± 1,598 | 2.79 | 88.81 ± 0.65 / 89.12 ± 0.56 | 15.45 ± 3.96 / 40.77 ± 4.75 | 30.92 ± 8.65 / 63.05 ± 4.66 | 25.48 ± 2.79 / 37.21 ± 3.83 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| microsoft/mdeberta-v3-base | 278 | 251 | 512 | True | 20,637 ± 3,925 / 4,497 ± 1,502 | 2.82 | 88.60 ± 0.60 / 89.37 ± 0.54 | 6.70 ± 4.85 / 25.36 ± 7.25 | 46.81 ± 2.12 / 72.76 ± 1.40 | 20.96 ± 1.19 / 30.59 ± 1.61 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| gpt-4o-mini-2024-07-18 (zero-shot, val) | unknown | 200 | 8191 | True | 908 ± 303 / 96 ± 36 | 2.85 | 53.92 ± 1.55 / 28.59 ± 1.28 | 35.05 ± 3.84 / 34.41 ± 2.93 | 23.12 ± 4.18 / 60.20 ± 2.01 | 54.99 ± 2.45 / 76.60 ± 1.29 | 14.0.1 | 14.0.1 | 14.0.1 | 14.0.1 |
| claude-3-5-sonnet-20241022 (zero-shot, val) | unknown | unknown | 200000 | True | 193 ± 87 / 55 ± 19 | 2.91 | 72.52 ± 0.65 / 60.99 ± 0.78 | 8.17 ± 5.22 / 27.16 ± 4.39 | 32.38 ± 4.28 / 56.38 ± 2.60 | 45.34 ± 1.90 / 69.24 ± 1.30 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) | 8030 | 128 | 8192 | True | 1,483 ± 377 / 287 ± 97 | 3.02 | 70.61 ± 1.12 / 68.27 ± 1.76 | 45.78 ± 2.05 / 47.72 ± 1.15 | 4.58 ± 2.43 / 36.78 ± 1.86 | 50.67 ± 1.56 / 72.73 ± 1.11 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| setu4993/LaBSE | 470 | 501 | 512 | True | 25,418 ± 6,435 / 4,536 ± 1,452 | 3.02 | 89.16 ± 0.66 / 89.62 ± 0.62 | 21.57 ± 4.96 / 45.40 ± 4.23 | 22.76 ± 10.57 / 60.04 ± 5.76 | 30.55 ± 1.05 / 41.85 ± 1.13 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| gpt-4o-mini-2024-07-18 (few-shot, val) | unknown | 200 | 8191 | True | 784 ± 310 / 95 ± 28 | 3.05 | 73.80 ± 2.44 / 63.06 ± 3.84 | 39.45 ± 8.53 / 62.38 ± 6.69 | 34.78 ± 4.81 / 63.14 ± 2.83 | 0.87 ± 1.17 / 19.37 ± 1.52 | 14.0.0 | 14.0.0 | 14.0.0 | 14.0.0 |
| gpt-4-1106-preview (zero-shot, val) | unknown | 100 | 8191 | True | 436 ± 152 / 57 ± 21 | 3.07 | 57.52 ± 2.17 / 36.36 ± 1.53 | 13.18 ± 5.13 / 19.41 ± 3.41 | 28.03 ± 3.90 / 62.26 ± 2.03 | 59.06 ± 2.40 / 76.65 ± 1.98 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| meta-llama/Llama-3.1-8B-Instruct (few-shot) | 8030 | 128 | 131072 | True | 1,473 ± 377 / 283 ± 96 | 3.09 | 67.67 ± 1.31 / 59.86 ± 2.12 | 48.54 ± 2.43 / 49.17 ± 1.48 | 3.89 ± 2.71 / 36.33 ± 1.50 | 47.07 ± 2.63 / 69.50 ± 1.68 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| mistralai/Mixtral-8x7B-v0.1 (few-shot) | 46703 | 32 | 32768 | True | 2,363 ± 794 / 311 ± 105 | 3.11 | 67.97 ± 1.73 / 65.91 ± 2.05 | 45.19 ± 3.93 / 59.61 ± 3.28 | 5.21 ± 3.44 / 47.34 ± 4.27 | 43.26 ± 1.74 / 60.83 ± 1.76 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 3.20 | 81.86 ± 2.08 / 67.98 ± 3.64 | 27.30 ± 11.60 / 55.31 ± 9.21 | -0.97 ± 2.82 / 33.64 ± 0.85 | 56.45 ± 2.88 / 78.76 ± 1.86 | 12.10.0 | 13.3.0 | 12.10.0 | 13.0.0 |
| nvidia/mistral-nemo-minitron-8b-base (few-shot) | 8414 | 131 | 8192 | True | 2,470 ± 836 / 326 ± 111 | 3.20 | 66.18 ± 1.87 / 62.76 ± 2.46 | 39.48 ± 3.86 / 56.83 ± 3.61 | 5.78 ± 1.69 / 47.83 ± 3.37 | 44.81 ± 2.15 / 63.16 ± 2.38 | 14.1.1 | 14.1.1 | 14.1.1 | 14.1.1 |
| pere/roberta-base-exp-32 | 277 | 250 | 512 | True | 15,081 ± 2,950 / 3,365 ± 1,092 | 3.20 | 90.60 ± 0.45 / 90.78 ± 0.45 | 11.28 ± 5.45 / 28.12 ± 6.89 | 22.86 ± 13.14 / 59.92 ± 6.74 | 24.90 ± 1.52 / 33.83 ± 1.68 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| mgoin/Nemotron-4-340B-Instruct-hf-FP8 (few-shot) | 341029 | 256 | 4096 | True | 1,904 ± 475 / 361 ± 121 | 3.24 | 55.31 ± 9.55 / 44.19 ± 6.59 | 51.62 ± 10.21 / 62.71 ± 10.54 | 15.07 ± 1.77 / 54.46 ± 2.11 | 18.22 ± 3.26 / 36.19 ± 4.86 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| vesteinn/ScandiBERT-no-faroese | 124 | 50 | 512 | True | 15,436 ± 2,820 / 3,704 ± 1,187 | 3.28 | 88.14 ± 0.58 / 88.89 ± 0.52 | 6.88 ± 5.56 / 24.40 ± 8.37 | 27.71 ± 9.67 / 61.60 ± 5.69 | 20.47 ± 2.44 / 29.37 ± 3.28 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| mistralai/Mixtral-8x7B-Instruct-v0.1 (few-shot) | 46703 | 32 | 32768 | True | 5,535 ± 1,837 / 760 ± 256 | 3.29 | 63.43 ± 0.93 / 41.57 ± 2.20 | 43.99 ± 2.94 / 59.58 ± 2.00 | 9.38 ± 2.05 / 51.75 ± 1.36 | 25.35 ± 3.98 / 49.54 ± 4.57 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| CohereForAI/c4ai-command-r-v01 (few-shot) | 34981 | 256 | 8192 | False | 1,919 ± 645 / 248 ± 83 | 3.38 | 64.53 ± 1.51 / 50.53 ± 3.29 | 44.01 ± 1.86 / 55.97 ± 2.61 | 2.39 ± 1.56 / 38.90 ± 2.09 | 34.84 ± 3.88 / 58.25 ± 3.25 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| NorwAI/NorwAI-Mixtral-8x7B-instruct (few-shot) | 46998 | 68 | 32768 | True | 9,015 ± 2,966 / 1,121 ± 510 | 3.39 | 58.62 ± 3.34 / 53.80 ± 3.15 | 40.74 ± 5.37 / 57.33 ± 4.26 | 5.58 ± 2.68 / 45.68 ± 4.79 | 28.04 ± 7.49 / 52.48 ± 5.80 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| mideind/IceBERT-xlmr-ic3 | 277 | 250 | 512 | True | 11,004 ± 2,244 / 2,324 ± 761 | 3.43 | 87.79 ± 0.40 / 88.46 ± 0.31 | 7.80 ± 5.19 / 24.52 ± 6.96 | 22.51 ± 10.65 / 55.58 ± 8.05 | 11.16 ± 3.59 / 16.82 ± 5.50 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| google/rembert | 575 | 250 | 256 | True | 11,736 ± 2,822 / 2,102 ± 677 | 3.45 | 87.35 ± 0.94 / 87.65 ± 0.94 | 0.04 ± 3.09 / 17.28 ± 2.02 | 14.65 ± 11.12 / 46.36 ± 10.23 | 36.10 ± 1.91 / 48.41 ± 2.09 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| intfloat/multilingual-e5-large-instruct | 560 | 250 | 514 | True | 5,947 ± 1,301 / 1,129 ± 374 | 3.47 | 88.64 ± 0.34 / 89.11 ± 0.29 | 23.63 ± 6.26 / 44.37 ± 7.53 | 2.05 ± 2.30 / 47.88 ± 2.17 | 24.09 ± 4.66 / 37.60 ± 4.39 | 13.0.0 | 13.3.0 | 13.0.0 | 13.0.0 |
| mistralai/Ministral-8B-Instruct-2410 (few-shot) | 8020 | 131 | 32768 | True | 1,302 ± 323 / 253 ± 86 | 3.48 | 65.55 ± 1.39 / 51.57 ± 3.35 | 29.49 ± 2.40 / 47.06 ± 2.82 | 2.05 ± 1.58 / 35.92 ± 2.05 | 47.72 ± 2.10 / 65.78 ± 1.43 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| NorwAI/NorwAI-Mixtral-8x7B (few-shot) | 46998 | 68 | 32768 | True | 2,368 ± 793 / 317 ± 108 | 3.51 | 62.60 ± 3.09 / 54.91 ± 2.40 | 31.36 ± 5.40 / 50.13 ± 5.67 | 5.21 ± 3.15 / 46.32 ± 4.42 | 34.26 ± 2.20 / 51.27 ± 2.30 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| jonfd/electra-small-nordic | 22 | 96 | 128 | True | 5,989 ± 120 / 3,809 ± 1,230 | 3.52 | 85.80 ± 0.25 / 86.58 ± 0.26 | -0.16 ± 3.99 / 22.65 ± 3.79 | 30.88 ± 2.36 / 63.79 ± 1.33 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| intfloat/multilingual-e5-large | 559 | 250 | 512 | True | 6,732 ± 1,273 / 1,633 ± 523 | 3.53 | 88.39 ± 0.86 / 88.75 ± 0.75 | 18.28 ± 3.38 / 39.08 ± 2.62 | 2.85 ± 1.32 / 48.43 ± 2.29 | 31.03 ± 1.94 / 43.72 ± 2.89 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| CohereForAI/aya-expanse-8b (few-shot) | 8028 | 256 | 8192 | False | 2,686 ± 685 / 491 ± 164 | 3.54 | 64.72 ± 1.73 / 47.25 ± 4.90 | 28.57 ± 4.08 / 50.22 ± 2.92 | 5.12 ± 1.16 / 51.09 ± 0.89 | 38.83 ± 3.81 / 56.89 ± 3.51 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Llama-3.1-8B (few-shot) | 8030 | 128 | 131072 | True | 2,986 ± 823 / 276 ± 94 | 3.54 | 65.65 ± 3.31 / 63.81 ± 2.72 | 24.30 ± 7.03 / 35.85 ± 7.35 | 0.61 ± 1.75 / 35.51 ± 2.23 | 45.01 ± 1.79 / 65.74 ± 1.54 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 1,446 ± 354 / 295 ± 100 | 3.55 | 62.63 ± 3.44 / 57.85 ± 3.72 | 25.57 ± 6.07 / 44.34 ± 6.18 | 2.84 ± 1.84 / 42.62 ± 4.53 | 44.06 ± 1.93 / 60.40 ± 2.37 | 9.1.2 | 14.1.2 | 9.1.2 | 13.0.0 |
| meta-llama/Llama-3.2-3B-Instruct (few-shot) | 3213 | 128 | 131200 | False | 10,424 ± 2,641 / 2,081 ± 666 | 3.56 | 58.24 ± 3.73 / 47.44 ± 4.83 | 32.79 ± 2.01 / 41.82 ± 1.09 | 1.77 ± 2.13 / 45.44 ± 4.00 | 45.13 ± 1.12 / 64.71 ± 0.74 | 13.0.0 | 14.1.2 | 13.0.0 | 13.0.0 |
| mistralai/Mistral-7B-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 1,364 ± 343 / 266 ± 90 | 3.56 | 61.32 ± 4.26 / 59.28 ± 4.43 | 26.73 ± 4.70 / 45.03 ± 5.25 | 1.30 ± 1.64 / 45.10 ± 3.27 | 44.98 ± 1.62 / 62.38 ± 1.68 | 12.10.4 | 14.1.2 | 12.10.4 | 13.0.0 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) | 7242 | 32 | 32768 | False | 1,419 ± 349 / 286 ± 97 | 3.59 | 63.40 ± 2.78 / 59.96 ± 2.91 | 26.90 ± 4.62 / 39.87 ± 5.82 | 2.16 ± 2.25 / 39.38 ± 4.12 | 40.73 ± 1.32 / 57.50 ± 1.39 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 2,370 ± 416 / 711 ± 242 | 3.59 | 61.28 ± 2.98 / 54.02 ± 3.55 | 32.07 ± 3.55 / 51.69 ± 3.46 | 1.68 ± 1.41 / 50.06 ± 1.22 | 39.00 ± 1.21 / 59.78 ± 1.14 | 9.2.0 | 13.3.0 | 9.3.1 | 13.0.0 |
| utter-project/EuroLLM-9B-Instruct (few-shot) | 9152 | 128 | 4096 | False | 1,483 ± 321 / 379 ± 158 | 3.59 | 54.79 ± 2.33 / 46.30 ± 4.57 | 35.84 ± 8.64 / 48.22 ± 7.58 | 0.00 ± 0.00 / 33.26 ± 0.54 | 41.94 ± 2.59 / 62.06 ± 2.17 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| ibm-granite/granite-3.0-8b-base (few-shot) | 8171 | 49 | 4224 | True | 2,515 ± 625 / 476 ± 159 | 3.61 | 61.47 ± 1.57 / 58.60 ± 2.31 | 24.35 ± 6.38 / 30.32 ± 5.04 | 1.44 ± 1.85 / 34.71 ± 1.84 | 41.54 ± 1.49 / 58.90 ± 1.24 | 13.0.0 | 14.1.2 | 13.0.0 | 13.0.0 |
| meta-llama/Meta-Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 1,477 ± 376 / 285 ± 97 | 3.62 | 61.11 ± 4.21 / 58.55 ± 4.19 | 19.40 ± 8.13 / 32.14 ± 7.75 | 2.02 ± 1.68 / 39.88 ± 3.56 | 50.34 ± 1.74 / 71.74 ± 1.27 | 12.6.1 | 14.1.2 | 12.6.1 | 13.0.0 |
| Geotrend/bert-base-25lang-cased | 151 | 85 | 512 | True | 13,908 ± 3,201 / 2,700 ± 872 | 3.63 | 86.09 ± 1.03 / 86.85 ± 1.02 | 5.17 ± 4.32 / 26.72 ± 6.11 | 15.24 ± 6.84 / 50.54 ± 4.85 | 14.82 ± 1.50 / 22.99 ± 1.63 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| NbAiLab/nb-sbert-base | 177 | 120 | 512 | True | 17,757 ± 3,883 / 3,864 ± 1,237 | 3.63 | 86.20 ± 0.50 / 86.91 ± 0.46 | 19.12 ± 2.94 / 41.88 ± 2.47 | 11.80 ± 7.52 / 53.06 ± 5.04 | 7.47 ± 1.01 / 11.22 ± 1.50 | 12.10.5 | 13.3.0 | 12.10.5 | 13.0.0 |
| ibm-granite/granite-3.0-8b-instruct (few-shot) | 8171 | 49 | 4096 | True | 1,118 ± 302 / 184 ± 63 | 3.63 | 59.96 ± 2.42 / 58.61 ± 2.57 | 28.33 ± 7.70 / 49.72 ± 6.84 | 2.24 ± 1.78 / 41.32 ± 3.70 | 39.52 ± 1.83 / 57.16 ± 2.10 | 13.0.0 | 13.3.0 | 13.0.0 | 13.0.0 |
| AI-Sweden-Models/roberta-large-1160k | 354 | 50 | 512 | True | 14,014 ± 2,384 / 3,625 ± 1,146 | 3.68 | 88.24 ± 0.58 / 88.48 ± 0.54 | 6.42 ± 5.53 / 24.34 ± 7.55 | 1.73 ± 1.70 / 42.32 ± 5.16 | 35.08 ± 2.58 / 47.03 ± 3.42 | 10.0.1 | 13.3.0 | 10.0.1 | 13.0.0 |
| ltg/norbert3-base | 124 | 50 | 512 | True | 11,405 ± 1,970 / 2,856 ± 917 | 3.68 | 86.94 ± 0.47 / 87.58 ± 0.46 | 1.08 ± 4.61 / 24.02 ± 3.61 | 12.35 ± 8.96 / 53.00 ± 5.17 | 24.57 ± 2.18 / 34.06 ± 2.82 | 12.7.0 | 14.1.2 | 12.7.0 | 13.0.0 |
| mhenrichsen/hestenettetLM (few-shot) | 7242 | 32 | 4096 | True | 1,151 ± 294 / 227 ± 76 | 3.68 | 61.81 ± 2.69 / 59.37 ± 2.94 | 24.67 ± 6.35 / 43.87 ± 6.36 | 1.32 ± 1.90 / 40.36 ± 4.18 | 35.62 ± 1.71 / 51.48 ± 2.47 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| nvidia/mistral-nemo-minitron-8b-instruct (few-shot) | 8414 | 131 | 8192 | True | 3,161 ± 676 / 1,247 ± 481 | 3.68 | 67.72 ± 1.04 / 51.81 ± 3.32 | 42.98 ± 3.22 / 60.44 ± 2.81 | 6.40 ± 1.61 / 51.02 ± 1.86 | 0.07 ± 0.10 / 29.23 ± 1.59 | 14.1.1 | 14.1.1 | 14.1.1 | 14.1.1 |
| intfloat/multilingual-e5-base | 278 | 250 | 512 | True | 14,965 ± 2,890 / 3,322 ± 1,074 | 3.73 | 87.44 ± 0.35 / 88.01 ± 0.28 | 10.97 ± 3.84 / 30.74 ± 5.68 | 7.38 ± 6.28 / 47.69 ± 4.51 | 14.80 ± 3.56 / 22.12 ± 5.23 | 12.6.1 | 13.3.0 | 12.6.1 | 13.0.0 |
| mideind/IceBERT-large | 406 | 50 | 512 | True | 5,677 ± 719 / 1,886 ± 604 | 3.73 | 86.84 ± 0.77 / 87.51 ± 0.72 | 2.92 ± 3.57 / 25.10 ± 5.74 | 9.82 ± 3.95 / 50.49 ± 3.45 | 21.19 ± 2.49 / 30.11 ± 2.76 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| NbAiLab/nb-llama-3.1-70B (few-shot) | 70554 | 128 | 131072 | True | 1,220 ± 411 / 158 ± 53 | 3.75 | 65.06 ± 2.04 / 64.49 ± 1.85 | 48.44 ± 4.16 / 54.28 ± 3.55 | 3.30 ± 1.95 / 34.38 ± 1.34 | 0.00 ± 0.00 / 20.32 ± 0.61 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 3.78 | 66.82 ± 2.36 / 65.84 ± 2.35 | 21.19 ± 5.19 / 32.96 ± 5.05 | -0.36 ± 1.67 / 37.57 ± 3.35 | 36.47 ± 0.96 / 51.89 ± 1.05 | 13.0.0 | 14.1.2 | 13.0.0 | 13.0.0 |
| mideind/IceBERT-ic3 | 124 | 50 | 512 | True | 12,119 ± 1,576 / 3,812 ± 1,242 | 3.78 | 87.22 ± 0.68 / 87.92 ± 0.59 | 15.94 ± 5.79 / 37.27 ± 7.66 | 6.23 ± 6.96 / 48.55 ± 4.87 | 2.98 ± 1.75 / 4.35 ± 2.54 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| mideind/IceBERT | 124 | 50 | 512 | True | 16,697 ± 2,113 / 5,432 ± 1,749 | 3.78 | 86.50 ± 0.96 / 87.11 ± 0.90 | 8.64 ± 5.25 / 29.80 ± 8.39 | 10.13 ± 8.55 / 47.31 ± 7.04 | 5.35 ± 3.50 / 8.28 ± 5.36 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| vesteinn/XLMR-ENIS | 125 | 50 | 512 | True | 10,711 ± 2,333 / 2,141 ± 689 | 3.79 | 87.09 ± 0.76 / 87.71 ± 0.73 | 15.11 ± 7.40 / 38.19 ± 7.66 | 3.09 ± 1.98 / 39.41 ± 4.45 | 5.75 ± 2.66 / 8.73 ± 4.07 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| FacebookAI/xlm-roberta-large | 559 | 250 | 512 | True | 17,897 ± 3,921 / 3,463 ± 1,141 | 3.80 | 87.85 ± 0.95 / 88.21 ± 0.87 | 5.14 ± 5.42 / 22.03 ± 5.69 | 1.17 ± 2.11 / 40.94 ± 5.07 | 27.72 ± 1.48 / 39.88 ± 2.04 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| ZurichNLP/unsup-simcse-xlm-roberta-base | 277 | 250 | 512 | True | 34,520 ± 7,443 / 6,730 ± 2,224 | 3.80 | 84.14 ± 0.67 / 84.82 ± 0.64 | 21.20 ± 3.85 / 43.97 ± 3.72 | 1.33 ± 2.18 / 48.85 ± 1.23 | 14.20 ± 1.78 / 22.95 ± 2.71 | 12.6.1 | 13.3.0 | 12.6.1 | 13.0.0 |
| CohereForAI/aya-23-8B (few-shot) | 8028 | 256 | 8192 | False | 2,707 ± 688 / 497 ± 166 | 3.81 | 62.22 ± 2.10 / 58.79 ± 2.20 | 17.34 ± 5.56 / 37.16 ± 5.28 | 0.01 ± 2.43 / 37.74 ± 4.20 | 38.70 ± 1.22 / 54.70 ± 0.93 | 13.0.0 | 14.1.2 | 13.0.0 | 13.0.0 |
| Nexusflow/Starling-LM-7B-beta (few-shot) | 7242 | 32 | 4096 | False | 4,136 ± 1,282 / 668 ± 326 | 3.83 | 62.20 ± 1.42 / 45.92 ± 2.03 | 26.68 ± 6.93 / 47.94 ± 8.20 | 7.07 ± 2.30 / 44.94 ± 2.71 | 11.97 ± 3.61 / 31.80 ± 3.65 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| KennethEnevoldsen/dfm-sentence-encoder-medium | 124 | 50 | 512 | True | 14,998 ± 2,549 / 3,833 ± 1,223 | 3.87 | 84.92 ± 0.70 / 85.65 ± 0.67 | 10.17 ± 4.54 / 30.26 ± 5.80 | 2.96 ± 2.66 / 45.42 ± 4.03 | 14.00 ± 2.44 / 20.08 ± 3.54 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| occiglot/occiglot-7b-eu5-instruct (few-shot) | 7242 | 32 | 32768 | False | 2,088 ± 352 / 706 ± 214 | 3.90 | 60.37 ± 3.60 / 59.38 ± 3.85 | 8.21 ± 5.06 / 27.79 ± 5.76 | 0.00 ± 0.00 / 33.26 ± 0.34 | 43.69 ± 2.03 / 60.55 ± 1.76 | 12.5.2 | 13.3.0 | 12.3.1 | 13.0.0 |
| NbAiLab/nb-roberta-base-scandinavian | 125 | 50 | 512 | True | 14,051 ± 3,289 / 2,704 ± 897 | 3.91 | 86.10 ± 0.64 / 86.75 ± 0.57 | 4.80 ± 5.07 / 21.63 ± 2.01 | 6.28 ± 2.41 / 49.62 ± 2.08 | 9.89 ± 2.08 / 14.41 ± 3.08 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-8b-code-instruct-4k (few-shot) | 8055 | 49 | 4096 | True | 5,617 ± 995 / 1,623 ± 540 | 3.91 | 60.46 ± 2.53 / 58.29 ± 2.53 | 21.59 ± 6.94 / 40.68 ± 5.50 | 0.51 ± 0.78 / 36.20 ± 2.37 | 33.54 ± 1.00 / 49.02 ± 0.91 | 13.0.0 | 13.3.0 | 13.0.0 | 13.0.0 |
| clips/mfaq | 277 | 250 | 512 | True | 5,591 ± 187 / 3,349 ± 1,105 | 3.92 | 85.86 ± 0.51 / 86.55 ± 0.49 | 16.49 ± 2.83 / 34.48 ± 3.01 | 0.80 ± 2.32 / 42.37 ± 4.42 | 2.17 ± 2.62 / 2.93 ± 3.66 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 3.92 | 55.42 ± 2.12 / 46.41 ± 2.50 | 15.85 ± 6.84 / 36.28 ± 7.13 | 1.11 ± 2.41 / 36.79 ± 4.00 | 33.54 ± 1.29 / 50.80 ± 1.31 | 9.3.1 | 13.3.0 | 9.3.1 | 13.0.0 |
| KBLab/megatron-bert-base-swedish-cased-125k | 135 | 64 | 512 | True | 15,763 ± 2,523 / 4,238 ± 1,370 | 3.94 | 80.61 ± 0.91 / 81.31 ± 0.89 | 2.87 ± 3.48 / 19.80 ± 4.75 | 9.60 ± 3.82 / 52.30 ± 1.73 | 11.57 ± 0.86 / 17.37 ± 1.12 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| occiglot/occiglot-7b-eu5 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 3.94 | 58.67 ± 3.95 / 58.47 ± 3.96 | 10.39 ± 7.55 / 30.73 ± 6.92 | 0.00 ± 0.00 / 33.26 ± 0.34 | 40.95 ± 1.80 / 55.82 ± 1.95 | 12.5.2 | 14.1.2 | 12.1.0 | 13.0.0 |
| AI-Nordics/bert-large-swedish-cased | 334 | 31 | 512 | True | 7,199 ± 1,139 / 2,051 ± 651 | 3.95 | 83.22 ± 0.71 / 83.91 ± 0.66 | 2.93 ± 3.78 / 22.30 ± 4.06 | 6.78 ± 3.31 / 51.53 ± 2.36 | 15.94 ± 1.67 / 22.00 ± 2.12 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| KBLab/megatron-bert-large-swedish-cased-165k | 369 | 64 | 512 | True | 7,138 ± 1,111 / 2,067 ± 660 | 3.95 | 82.76 ± 0.95 / 83.43 ± 0.88 | 1.22 ± 4.49 / 25.53 ± 4.87 | 7.58 ± 3.56 / 52.05 ± 1.14 | 16.13 ± 1.68 / 23.78 ± 2.02 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) | 6738 | 32 | 4096 | False | 5,384 ± 879 / 1,746 ± 553 | 3.95 | 53.38 ± 3.96 / 53.04 ± 3.85 | 21.11 ± 6.06 / 41.25 ± 6.85 | 0.46 ± 2.01 / 44.83 ± 3.28 | 35.99 ± 1.01 / 51.25 ± 1.12 | 12.5.2 | 14.1.2 | 12.3.2 | 13.0.0 |
| vesteinn/IceBERT | 163 | 50 | 512 | True | 12,360 ± 1,611 / 3,858 ± 1,246 | 3.96 | 87.13 ± 0.58 / 87.70 ± 0.45 | 8.64 ± 5.25 / 29.80 ± 8.39 | 3.66 ± 3.33 / 40.81 ± 4.34 | 5.07 ± 3.59 / 8.05 ± 5.61 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) | 7242 | 32 | 32768 | True | 5,054 ± 1,200 / 1,056 ± 339 | 3.98 | 58.96 ± 2.05 / 52.20 ± 2.50 | 8.97 ± 6.97 / 27.85 ± 5.18 | 0.00 ± 0.00 / 33.26 ± 0.34 | 39.20 ± 1.10 / 54.89 ± 1.25 | 12.5.3 | 14.1.2 | 12.5.3 | 13.0.0 |
| mideind/IceBERT-igc | 124 | 50 | 512 | True | 12,551 ± 1,656 / 3,918 ± 1,274 | 3.99 | 83.82 ± 0.98 / 84.34 ± 0.88 | 12.12 ± 5.60 / 32.60 ± 6.48 | 4.93 ± 3.16 / 45.85 ± 3.66 | 5.17 ± 2.95 / 7.88 ± 4.65 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| mideind/IceBERT-mC4-is | 163 | 50 | 512 | True | 12,308 ± 1,614 / 3,851 ± 1,254 | 3.99 | 88.44 ± 0.35 / 89.11 ± 0.38 | 1.73 ± 3.39 / 17.03 ± 2.53 | 11.83 ± 4.90 / 48.95 ± 6.81 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| Geotrend/bert-base-da-cased | 103 | 23 | 512 | True | 15,432 ± 2,838 / 3,642 ± 1,189 | 4.00 | 86.62 ± 0.43 / 87.31 ± 0.44 | 2.99 ± 2.41 / 22.15 ± 2.57 | 3.64 ± 3.82 / 49.77 ± 2.26 | 13.84 ± 1.99 / 21.44 ± 2.62 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/stsb-xlm-r-multilingual | 277 | 250 | 512 | True | 15,040 ± 2,953 / 3,417 ± 1,100 | 4.00 | 82.97 ± 0.83 / 83.62 ± 0.81 | 18.07 ± 4.85 / 39.76 ± 3.32 | 2.93 ± 1.96 / 46.51 ± 4.19 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| KBLab/megatron-bert-base-swedish-cased-600k | 135 | 64 | 512 | True | 15,726 ± 2,508 / 4,234 ± 1,365 | 4.02 | 81.02 ± 0.75 / 81.74 ± 0.75 | 7.39 ± 3.22 / 27.62 ± 2.64 | 4.00 ± 2.04 / 50.51 ± 1.11 | 12.98 ± 1.18 / 20.39 ± 1.75 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 4.04 | 59.77 ± 3.38 / 56.97 ± 4.30 | 13.24 ± 5.37 / 38.49 ± 4.97 | -0.54 ± 1.61 / 36.94 ± 2.79 | 31.87 ± 2.20 / 46.21 ± 1.15 | 9.3.1 | 13.3.0 | 9.3.1 | 13.0.0 |
| KBLab/bert-base-swedish-cased-new | 135 | 64 | 512 | True | 15,933 ± 2,541 / 4,289 ± 1,376 | 4.05 | 84.02 ± 0.86 / 84.66 ± 0.82 | 0.92 ± 4.36 / 23.25 ± 4.15 | 5.65 ± 3.07 / 49.17 ± 3.05 | 7.14 ± 2.31 / 10.87 ± 3.52 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| KBLab/megatron-bert-large-swedish-cased-110k | 369 | 64 | 512 | True | 7,075 ± 1,093 / 2,057 ± 661 | 4.06 | 82.36 ± 0.91 / 82.94 ± 0.90 | 6.99 ± 2.15 / 31.03 ± 3.17 | 5.20 ± 2.67 / 50.88 ± 1.55 | 2.65 ± 1.46 / 4.33 ± 2.24 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| MaLA-LM/emma-500-llama2-7b (few-shot) | 6738 | 32 | 4096 | True | 6,275 ± 1,193 / 1,755 ± 578 | 4.06 | 40.18 ± 3.60 / 39.95 ± 3.38 | 14.19 ± 8.12 / 28.15 ± 8.15 | 0.31 ± 1.71 / 41.35 ± 4.05 | 41.60 ± 2.49 / 60.78 ± 2.12 | 13.0.0 | 13.3.0 | 13.0.0 | 13.0.0 |
| senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 4.07 | 67.42 ± 2.21 / 60.87 ± 3.22 | 20.01 ± 4.67 / 38.23 ± 3.04 | 7.02 ± 1.56 / 49.32 ± 2.91 | 0.65 ± 0.17 / 7.03 ± 0.26 | 12.6.1 | 13.3.0 | 12.6.1 | 13.0.0 |
| flax-community/nordic-roberta-wiki | 124 | 50 | 512 | True | 16,227 ± 2,650 / 4,252 ± 1,393 | 4.10 | 82.64 ± 0.63 / 83.27 ± 0.65 | 5.78 ± 2.10 / 24.21 ± 4.42 | 8.03 ± 2.01 / 51.96 ± 1.87 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 135 | 120 | 512 | True | 33,753 ± 8,349 / 5,937 ± 1,946 | 4.13 | 82.91 ± 0.89 / 83.43 ± 0.87 | 9.77 ± 3.39 / 32.64 ± 2.55 | 1.67 ± 2.22 / 46.20 ± 3.31 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/quora-distilbert-multilingual | 135 | 120 | 512 | True | 26,458 ± 5,992 / 5,274 ± 1,731 | 4.13 | 82.91 ± 0.89 / 83.43 ± 0.87 | 9.77 ± 3.39 / 32.64 ± 2.55 | 1.67 ± 2.22 / 46.20 ± 3.31 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| google-bert/bert-base-multilingual-uncased | 167 | 106 | 512 | True | 13,993 ± 3,217 / 2,752 ± 893 | 4.14 | 73.06 ± 1.51 / 72.61 ± 1.40 | 2.33 ± 1.48 / 20.95 ± 2.83 | 5.48 ± 2.42 / 49.18 ± 3.63 | 11.29 ± 2.19 / 18.32 ± 2.98 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 | 135 | 120 | 512 | True | 34,042 ± 8,482 / 5,951 ± 1,950 | 4.16 | 75.63 ± 1.41 / 76.23 ± 1.36 | 9.82 ± 2.60 / 36.40 ± 2.64 | 3.65 ± 1.93 / 48.34 ± 1.78 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v2 | 135 | 120 | 512 | True | 33,247 ± 8,123 / 6,017 ± 1,977 | 4.16 | 77.00 ± 1.08 / 77.85 ± 1.05 | 9.59 ± 3.69 / 32.95 ± 3.64 | 4.09 ± 2.27 / 47.26 ± 3.09 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased | 135 | 120 | 512 | True | 19,206 ± 4,451 / 3,658 ± 1,187 | 4.16 | 77.16 ± 0.93 / 78.00 ± 0.91 | 10.41 ± 3.80 / 34.36 ± 3.61 | 4.09 ± 2.27 / 47.26 ± 3.09 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/paraphrase-xlm-r-multilingual-v1 | 278 | 250 | 512 | True | 20,154 ± 4,438 / 3,890 ± 1,256 | 4.16 | 80.92 ± 0.59 / 81.63 ± 0.56 | 12.97 ± 2.96 / 31.99 ± 2.53 | 1.19 ± 2.37 / 43.13 ± 4.70 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.6.1 | 13.3.0 | 0.0.0 | 13.0.0 |
| Geotrend/distilbert-base-en-no-cased | 69 | 33 | 512 | True | 26,597 ± 6,036 / 5,271 ± 1,697 | 4.17 | 82.05 ± 0.46 / 82.67 ± 0.43 | 4.40 ± 3.12 / 25.01 ± 4.58 | 3.98 ± 2.94 / 50.53 ± 1.83 | 0.97 ± 1.01 / 1.92 ± 1.82 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| patrickvonplaten/norwegian-roberta-base | 124 | 50 | 512 | True | 15,698 ± 2,699 / 3,891 ± 1,278 | 4.17 | 82.57 ± 0.93 / 83.35 ± 0.91 | 1.68 ± 4.03 / 18.08 ± 3.73 | 5.74 ± 3.53 / 48.75 ± 3.22 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| claude-3-5-haiku-20241022 (zero-shot, val) | unknown | unknown | 200000 | True | 277 ± 77 / 70 ± 25 | 4.18 | 51.06 ± 1.45 / 30.27 ± 1.00 | -3.58 ± 4.03 / 14.94 ± 2.38 | 4.10 ± 4.03 / 37.28 ± 1.78 | 45.29 ± 1.54 / 72.97 ± 1.19 | 14.0.3 | 14.0.2 | 14.0.3 | 14.0.3 |
| Geotrend/distilbert-base-25lang-cased | 109 | 85 | 512 | True | 26,099 ± 5,881 / 5,178 ± 1,665 | 4.19 | 83.21 ± 0.53 / 83.81 ± 0.45 | 3.90 ± 4.05 / 25.25 ± 5.25 | 2.37 ± 4.63 / 48.46 ± 3.19 | 1.35 ± 1.03 / 2.54 ± 1.88 | 12.6.1 | 13.3.0 | 12.6.1 | 13.0.0 |
| flax-community/swe-roberta-wiki-oscar | 124 | 50 | 512 | True | 15,437 ± 2,628 / 3,834 ± 1,252 | 4.19 | 80.52 ± 0.76 / 81.35 ± 0.69 | 2.89 ± 3.05 / 27.56 ± 2.96 | 6.51 ± 3.60 / 51.81 ± 1.95 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | 278 | 250 | 512 | True | 15,100 ± 3,019 / 3,369 ± 1,103 | 4.20 | 81.70 ± 0.58 / 82.18 ± 0.53 | 12.82 ± 3.51 / 33.99 ± 2.71 | 0.25 ± 2.87 / 44.81 ± 2.90 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.7.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| vesteinn/DanskBERT | 124 | 50 | 512 | True | 15,749 ± 2,665 / 4,014 ± 1,281 | 4.20 | 85.04 ± 0.57 / 85.72 ± 0.50 | 2.02 ± 4.21 / 21.25 ± 5.15 | 4.48 ± 1.63 / 44.45 ± 4.77 | 0.15 ± 0.29 / 0.21 ± 0.39 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| DDSC/roberta-base-danish | 125 | 50 | 512 | True | 15,004 ± 2,964 / 3,290 ± 1,092 | 4.21 | 80.21 ± 0.95 / 80.80 ± 0.97 | 2.88 ± 4.40 / 23.61 ± 4.78 | 1.10 ± 2.44 / 48.16 ± 1.47 | 7.95 ± 1.36 / 11.84 ± 1.76 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| cardiffnlp/twitter-xlm-roberta-base | 277 | 250 | 512 | True | 34,475 ± 7,465 / 6,712 ± 2,223 | 4.21 | 83.96 ± 0.80 / 84.63 ± 0.76 | 5.16 ± 3.25 / 23.12 ± 4.48 | 1.05 ± 1.66 / 41.31 ± 4.91 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| DeepPavlov/rubert-base-cased | 177 | 120 | 512 | True | 15,785 ± 2,658 / 3,983 ± 1,289 | 4.24 | 83.15 ± 0.73 / 83.90 ± 0.74 | 0.56 ± 4.44 / 29.23 ± 3.77 | 3.21 ± 2.89 / 47.97 ± 3.56 | 1.53 ± 1.23 / 2.95 ± 2.23 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| KB/bert-base-swedish-cased | 124 | 50 | 512 | True | 16,181 ± 2,451 / 4,620 ± 1,507 | 4.24 | 82.76 ± 1.26 / 83.50 ± 1.20 | 3.46 ± 2.02 / 20.63 ± 3.68 | 3.98 ± 2.70 / 47.46 ± 2.35 | 0.00 ± 0.00 / 0.01 ± 0.02 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| Twitter/twhin-bert-large | 560 | 250 | 512 | True | 9,707 ± 1,664 / 2,549 ± 831 | 4.24 | 84.73 ± 1.49 / 85.19 ± 1.59 | -0.64 ± 3.87 / 22.47 ± 3.96 | 1.37 ± 2.46 / 39.78 ± 3.24 | 4.15 ± 4.39 / 5.74 ± 6.06 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| openGPT-X/Teuken-7B-instruct-research-v0.4 (few-shot) | 7453 | 251 | 4096 | False | 1,254 ± 328 / 243 ± 83 | 4.24 | 46.64 ± 1.91 / 35.58 ± 2.47 | 16.72 ± 4.87 / 41.68 ± 4.39 | -1.54 ± 2.60 / 36.21 ± 2.51 | 18.69 ± 5.12 / 38.94 ± 4.72 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | 118 | 250 | 512 | True | 29,201 ± 6,282 / 6,045 ± 2,027 | 4.24 | 82.24 ± 0.85 / 82.84 ± 0.78 | 6.35 ± 5.07 / 29.58 ± 4.89 | 2.84 ± 1.41 / 50.47 ± 1.13 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| Twitter/twhin-bert-base | 279 | 250 | 512 | True | 11,514 ± 2,041 / 2,862 ± 918 | 4.26 | 84.00 ± 1.30 / 84.83 ± 1.28 | 3.05 ± 3.68 / 27.70 ± 4.19 | 1.94 ± 2.58 / 46.27 ± 2.74 | 0.02 ± 0.05 / 0.02 ± 0.05 | 12.6.1 | 13.3.0 | 12.6.1 | 13.0.0 |
| deepset/gbert-base | 109 | 31 | 512 | True | 37,268 ± 6,577 / 8,719 ± 2,865 | 4.27 | 80.48 ± 0.91 / 81.17 ± 0.85 | 3.50 ± 3.59 / 26.43 ± 3.38 | 0.60 ± 2.08 / 45.78 ± 2.54 | 2.63 ± 1.57 / 4.63 ± 2.53 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| FacebookAI/roberta-base | 124 | 50 | 512 | True | 13,354 ± 3,334 / 2,451 ± 777 | 4.28 | 81.78 ± 0.95 / 82.55 ± 0.90 | 4.85 ± 5.63 / 24.28 ± 7.08 | -1.18 ± 2.36 / 37.68 ± 3.64 | 0.69 ± 0.78 / 1.03 ± 1.15 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| microsoft/xlm-align-base | 277 | 250 | 512 | True | 14,744 ± 2,870 / 3,265 ± 1,053 | 4.29 | 85.97 ± 1.12 / 86.52 ± 1.08 | 2.54 ± 4.09 / 19.42 ± 4.54 | 0.02 ± 1.38 / 44.65 ± 2.65 | 0.72 ± 0.93 / 1.00 ± 1.31 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| KBLab/bert-base-swedish-cased | 125 | 50 | 512 | True | 16,164 ± 2,392 / 4,574 ± 1,478 | 4.30 | 79.99 ± 1.13 / 80.76 ± 1.10 | 3.46 ± 2.02 / 20.63 ± 3.68 | 1.32 ± 2.66 / 49.75 ± 1.50 | 0.10 ± 0.15 / 0.13 ± 0.19 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| dbmdz/bert-base-historic-multilingual-cased | 110 | 32 | 512 | True | 20,047 ± 4,407 / 3,844 ± 1,259 | 4.30 | 80.45 ± 1.48 / 81.32 ± 1.42 | 0.90 ± 2.61 / 26.49 ± 2.31 | 2.52 ± 1.88 / 47.78 ± 1.67 | 0.58 ± 0.81 / 1.12 ± 1.62 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| dbmdz/bert-medium-historic-multilingual-cased | 42 | 32 | 512 | True | 24,291 ± 4,887 / 5,096 ± 1,655 | 4.32 | 80.58 ± 0.45 / 81.29 ± 0.46 | 3.06 ± 2.93 / 25.95 ± 1.54 | 1.58 ± 2.34 / 49.16 ± 2.33 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| openGPT-X/Teuken-7B-instruct-commercial-v0.4 (few-shot) | 7453 | 251 | 4096 | True | 1,438 ± 410 / 233 ± 79 | 4.33 | 39.78 ± 1.79 / 31.09 ± 2.58 | 16.03 ± 6.81 / 39.68 ± 7.16 | -0.48 ± 1.85 / 33.39 ± 0.49 | 20.04 ± 4.63 / 38.93 ± 4.09 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| microsoft/infoxlm-base | 277 | 250 | 512 | True | 34,735 ± 7,558 / 6,846 ± 2,312 | 4.35 | 85.58 ± 1.04 / 86.23 ± 1.03 | 0.37 ± 2.84 / 16.66 ± 1.24 | 0.35 ± 2.36 / 43.55 ± 4.58 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| Maltehb/aelaectra-danish-electra-small-uncased | 14 | 32 | 128 | True | 5,995 ± 135 / 3,839 ± 1,247 | 4.36 | 62.07 ± 1.18 / 61.72 ± 1.18 | 8.70 ± 3.64 / 31.07 ± 4.78 | 5.11 ± 3.80 / 47.64 ± 4.52 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) | 3374 | 49 | 4096 | True | 10,246 ± 3,021 / 1,629 ± 550 | 4.36 | 45.56 ± 1.92 / 42.78 ± 1.78 | 7.44 ± 3.71 / 28.90 ± 5.97 | 0.92 ± 2.19 / 40.29 ± 3.87 | 20.82 ± 1.22 / 31.49 ± 1.49 | 13.0.0 | 13.3.0 | 13.0.0 | 13.0.0 |
| DDSC/roberta-base-scandinavian | 124 | 50 | 512 | True | 14,491 ± 2,800 / 3,182 ± 1,026 | 4.37 | 63.86 ± 20.89 / 64.42 ± 21.07 | 2.04 ± 2.65 / 20.52 ± 2.77 | 0.73 ± 2.11 / 49.36 ± 1.78 | 10.57 ± 1.30 / 15.52 ± 1.88 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-3b-code-base-2k (few-shot) | 3483 | 49 | 2048 | True | 2,732 ± 868 / 662 ± 238 | 4.39 | 60.88 ± 2.03 / 60.02 ± 1.84 | 0.16 ± 0.32 / 14.73 ± 2.24 | -0.35 ± 1.18 / 34.50 ± 1.25 | 18.54 ± 1.93 / 29.79 ± 1.35 | 13.0.0 | 14.1.2 | 13.0.0 | 13.0.0 |
| pdelobelle/robbert-v2-dutch-base | 116 | 40 | 512 | True | 15,481 ± 2,820 / 3,708 ± 1,186 | 4.40 | 78.59 ± 1.16 / 79.35 ± 1.08 | 3.32 ± 3.17 / 22.45 ± 6.10 | 0.65 ± 2.63 / 47.40 ± 3.23 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| 3ebdola/Dialectal-Arabic-XLM-R-Base | 277 | 250 | 512 | True | 12,783 ± 2,537 / 2,712 ± 885 | 4.41 | 73.34 ± 1.57 / 74.24 ± 1.56 | 1.49 ± 2.48 / 20.15 ± 3.56 | 0.97 ± 2.25 / 44.25 ± 3.12 | 0.00 ± 0.00 / 0.01 ± 0.02 | 12.6.1 | 13.3.0 | 12.6.1 | 13.0.0 |
| KBLab/albert-base-swedish-cased-alpha | 14 | 50 | 512 | True | 15,925 ± 2,281 / 4,780 ± 1,554 | 4.41 | 73.80 ± 0.98 / 74.58 ± 0.92 | 1.09 ± 3.08 / 22.88 ± 1.59 | 0.81 ± 2.90 / 48.11 ± 2.18 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-3b-code-instruct-2k (few-shot) | 3483 | 49 | 2048 | True | 9,059 ± 1,947 / 2,201 ± 728 | 4.42 | 56.88 ± 2.51 / 57.68 ± 2.14 | 3.80 ± 5.87 / 28.41 ± 4.70 | -0.21 ± 2.20 / 34.20 ± 1.19 | 13.72 ± 2.56 / 24.11 ± 2.40 | 13.0.0 | 13.3.0 | 13.0.0 | 13.0.0 |
| ltg/norbert2 | 125 | 50 | 512 | True | 15,523 ± 2,863 / 3,690 ± 1,195 | 4.43 | 60.57 ± 0.86 / 60.42 ± 0.90 | 2.58 ± 3.12 / 27.61 ± 2.89 | 4.16 ± 2.63 / 47.13 ± 3.43 | 7.84 ± 0.99 / 14.80 ± 1.25 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| EuropeanParliament/EUBERT | 94 | 66 | 512 | True | 20,070 ± 3,977 / 4,400 ± 1,435 | 4.46 | 59.50 ± 1.56 / 58.98 ± 1.55 | 0.94 ± 4.40 / 23.64 ± 4.57 | 3.25 ± 2.04 / 49.77 ± 1.40 | 5.56 ± 1.52 / 10.14 ± 2.41 | 12.6.1 | 13.3.0 | 12.6.1 | 13.0.0 |
| dbmdz/bert-tiny-historic-multilingual-cased | 5 | 32 | 512 | True | 78,027 ± 15,466 / 17,064 ± 5,335 | 4.47 | 72.08 ± 1.25 / 72.93 ± 1.20 | -1.81 ± 2.47 / 15.54 ± 0.87 | 2.65 ± 2.40 / 48.48 ± 1.87 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| Maltehb/aelaectra-danish-electra-small-cased | 14 | 32 | 512 | True | 4,593 ± 114 / 3,034 ± 973 | 4.53 | 58.52 ± 3.91 / 59.67 ± 3.83 | 3.76 ± 3.09 / 23.86 ± 4.50 | 1.09 ± 2.20 / 33.70 ± 0.56 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.7.0 | 13.3.0 | 12.7.0 | 13.0.0 |
| sarnikowski/convbert-small-da-cased | 13 | 29 | 512 | True | 14,273 ± 2,312 / 3,555 ± 1,187 | 4.54 | 58.50 ± 0.63 / 58.33 ± 0.70 | -0.24 ± 2.78 / 20.55 ± 2.59 | 5.96 ± 2.04 / 51.99 ± 1.53 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| ibm-granite/granite-3.0-3b-a800m-base (few-shot) | 3374 | 49 | 4096 | True | 10,504 ± 3,028 / 1,678 ± 559 | 4.56 | 41.27 ± 4.31 / 40.85 ± 4.31 | 5.40 ± 3.00 / 17.90 ± 2.95 | -0.20 ± 2.17 / 43.01 ± 3.39 | 19.69 ± 2.66 / 29.77 ± 2.80 | 13.0.0 | 14.1.2 | 13.0.0 | 13.0.0 |
| sarnikowski/convbert-medium-small-da-cased | 24 | 29 | 512 | True | 13,821 ± 2,209 / 3,547 ± 1,184 | 4.58 | 59.66 ± 0.63 / 59.39 ± 0.60 | -1.39 ± 3.48 / 23.17 ± 3.58 | 4.58 ± 3.90 / 50.83 ± 2.59 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) | 1711 | 49 | 8192 | True | 15,971 ± 3,654 / 3,609 ± 1,197 | 4.69 | 40.28 ± 3.29 / 42.15 ± 2.85 | 3.94 ± 3.10 / 30.51 ± 3.43 | -0.26 ± 1.92 / 38.29 ± 4.03 | 10.68 ± 1.75 / 17.52 ± 1.85 | 13.1.0 | 13.3.0 | 13.1.0 | 13.1.0 |
| fresh-xlm-roberta-base | 277 | 250 | 512 | True | 2,214 ± 94 / 1,494 ± 229 | 4.75 | 48.70 ± 1.57 / 48.51 ± 1.57 | 1.07 ± 2.10 / 17.71 ± 4.10 | 2.37 ± 2.06 / 37.68 ± 3.25 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.0.0 | 13.3.0 | 0.0.0 | 13.0.0 |
| utter-project/EuroLLM-1.7B-Instruct (few-shot) | 1657 | 128 | 4096 | True | 15,009 ± 4,072 / 2,702 ± 878 | 4.80 | 33.53 ± 3.87 / 35.41 ± 3.77 | 4.25 ± 5.04 / 26.21 ± 4.24 | -2.32 ± 2.11 / 45.19 ± 2.78 | 15.41 ± 2.05 / 25.07 ± 1.98 | 13.1.0 | 13.3.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-1.7B (few-shot) | 1711 | 49 | 8192 | True | 16,249 ± 3,690 / 3,689 ± 1,226 | 4.86 | 27.91 ± 4.97 / 30.98 ± 4.28 | 0.77 ± 4.14 / 23.56 ± 3.58 | -0.48 ± 0.89 / 33.97 ± 1.00 | 16.56 ± 1.66 / 26.11 ± 1.42 | 13.1.0 | 14.1.2 | 13.1.0 | 13.1.0 |
| PleIAs/Pleias-1.2b-Preview (few-shot) | 1195 | 66 | 2048 | True | 10,756 ± 3,589 / 1,157 ± 670 | 4.87 | 38.91 ± 4.57 / 39.53 ± 3.74 | -1.72 ± 2.43 / 16.58 ± 3.29 | 0.66 ± 0.95 / 33.60 ± 0.66 | 4.82 ± 3.70 / 7.41 ± 5.58 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) | 362 | 49 | 8192 | True | 21,777 ± 6,115 / 3,617 ± 1,211 | 5.03 | 26.85 ± 3.99 / 27.35 ± 3.60 | 3.07 ± 2.88 / 28.68 ± 2.63 | -0.12 ± 1.62 / 45.84 ± 3.59 | 1.39 ± 0.54 / 4.02 ± 0.64 | 13.1.0 | 13.3.0 | 13.1.0 | 13.1.0 |
| PleIAs/Pleias-350m-Preview (few-shot) | 353 | 66 | 2048 | True | 10,242 ± 3,432 / 1,335 ± 484 | 5.03 | 31.99 ± 3.53 / 32.31 ± 3.75 | 0.00 ± 0.00 / 13.57 ± 0.43 | 0.48 ± 1.60 / 37.69 ± 4.37 | 0.29 ± 0.29 / 0.89 ± 0.74 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) | 135 | 49 | 8192 | True | 25,602 ± 7,583 / 3,953 ± 1,325 | 5.06 | 23.22 ± 3.22 / 24.30 ± 2.81 | 3.78 ± 2.95 / 27.36 ± 2.62 | 0.41 ± 2.39 / 39.64 ± 3.47 | 0.54 ± 0.33 / 3.34 ± 0.61 | 13.1.0 | 13.3.0 | 13.1.0 | 13.1.0 |
| PleIAs/Pleias-Nano (few-shot) | 1195 | 66 | 2048 | True | 2,519 ± 841 / 323 ± 104 | 5.06 | 20.76 ± 6.32 / 22.79 ± 5.85 | -1.78 ± 2.38 / 16.36 ± 2.94 | 0.87 ± 1.94 / 34.86 ± 1.71 | 3.58 ± 2.75 / 6.25 ± 4.69 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| HuggingFaceTB/SmolLM2-360M (few-shot) | 362 | 49 | 8192 | True | 22,023 ± 6,203 / 3,675 ± 1,231 | 5.08 | 28.14 ± 2.42 / 28.12 ± 2.55 | -0.56 ± 5.13 / 23.83 ± 3.35 | -0.06 ± 0.67 / 33.85 ± 0.68 | 2.43 ± 0.73 / 6.05 ± 0.59 | 13.1.0 | 14.1.2 | 13.1.0 | 13.1.0 |
| PleIAs/Pleias-3b-Preview (few-shot) | 3212 | 66 | 4096 | True | 6,513 ± 1,241 / 1,282 ± 644 | 5.08 | 22.75 ± 5.63 / 23.52 ± 4.86 | -0.03 ± 6.54 / 23.66 ± 3.61 | -0.78 ± 1.59 / 33.93 ± 0.87 | 7.75 ± 1.53 / 12.38 ± 1.36 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| HuggingFaceTB/SmolLM2-135M (few-shot) | 135 | 49 | 8192 | True | 26,346 ± 7,812 / 4,082 ± 1,372 | 5.10 | 25.51 ± 2.40 / 26.43 ± 1.77 | -0.24 ± 2.92 / 26.18 ± 4.52 | 0.46 ± 1.43 / 36.19 ± 3.30 | 0.15 ± 0.20 / 3.01 ± 0.44 | 13.1.0 | 14.1.2 | 13.1.0 | 13.1.0 |
| tiiuae/Falcon3-1B-Instruct (few-shot) | 1669 | 131 | 8192 | True | 9,270 ± 2,690 / 1,434 ± 437 | 5.10 | 14.18 ± 3.48 / 13.89 ± 3.46 | 2.36 ± 2.76 / 17.70 ± 4.11 | 2.29 ± 2.66 / 48.34 ± 3.37 | 6.35 ± 1.25 / 12.91 ± 1.66 | 14.1.2 | 14.1.2 | 14.1.2 | 14.1.2 |
| PleIAs/Pleias-Pico (few-shot) | 353 | 66 | 2048 | True | 2,331 ± 787 / 301 ± 97 | 5.11 | 22.55 ± 5.84 / 22.62 ± 6.04 | 0.67 ± 1.52 / 13.76 ± 0.51 | 0.87 ± 1.83 / 38.38 ± 4.75 | 0.27 ± 0.26 / 0.91 ± 0.72 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| ssmits/Falcon2-5.5B-multilingual (few-shot) | 5465 | 65 | 8192 | True | 7,692 ± 1,423 / 1,960 ± 644 | 5.49 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.74 ± 1.78 / 13.97 ± 0.80 | 0.00 ± 0.00 / 33.40 ± 0.34 | 0.00 ± 0.00 / 0.00 ± 0.00 | 13.0.0 | 14.1.2 | 13.0.0 | 13.0.0 |