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Icelandic NLU 🇮🇸 |
Include merged models
Model ID | Parameters | Vocabulary size | Context | Commercial | Speed | Rank | MIM-GOLD-NER | ScaLA-is | NQiI | MIM-GOLD-NER version | ScaLA-is version | NQiI version |
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microsoft/mdeberta-v3-base | 278 | 251 | 512 | True | 20,637 ± 3,925 / 4,497 ± 1,502 | 1.34 | 81.12 ± 2.02 / 81.48 ± 1.69 | 54.11 ± 2.40 / 76.46 ± 1.28 | 30.93 ± 0.96 / 56.17 ± 1.10 | 0.0.0 | 0.0.0 | 0.0.0 |
gpt-4-1106-preview (few-shot, val) | unknown | 100 | 128000 | True | 576 ± 221 / 81 ± 28 | 1.38 | 86.37 ± 1.19 / 82.25 ± 2.73 | 43.03 ± 5.07 / 71.18 ± 2.64 | 37.26 ± 2.60 / 66.04 ± 1.95 | 12.5.1 | 12.10.2 | 12.5.1 |
gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 1.43 | 81.19 ± 2.45 / 54.02 ± 5.60 | 51.10 ± 5.09 / 73.25 ± 3.42 | 29.64 ± 2.12 / 55.46 ± 1.12 | 12.10.0 | 12.10.2 | 12.10.0 |
vesteinn/ScandiBERT-no-faroese | 124 | 50 | 512 | True | 15,436 ± 2,820 / 3,704 ± 1,187 | 1.48 | 83.94 ± 1.34 / 84.66 ± 0.91 | 58.64 ± 1.69 / 78.30 ± 1.26 | 25.35 ± 1.34 / 48.61 ± 1.71 | 0.0.0 | 0.0.0 | 0.0.0 |
google/rembert | 575 | 250 | 256 | True | 11,736 ± 2,822 / 2,102 ± 677 | 1.59 | 78.05 ± 1.72 / 78.74 ± 1.41 | 48.29 ± 2.59 / 73.54 ± 1.99 | 29.38 ± 1.81 / 52.42 ± 3.00 | 0.0.0 | 0.0.0 | 0.0.0 |
vesteinn/XLMR-ENIS | 124 | 50 | 512 | True | 10,711 ± 2,333 / 2,141 ± 689 | 1.60 | 82.20 ± 1.83 / 82.70 ± 1.41 | 48.51 ± 5.94 / 71.40 ± 4.38 | 27.06 ± 1.18 / 51.37 ± 1.42 | 0.0.0 | 0.0.0 | 0.0.0 |
mideind/IceBERT-large | 354 | 50 | 512 | True | 5,677 ± 719 / 1,886 ± 604 | 1.83 | 85.14 ± 1.31 / 84.37 ± 1.00 | 59.31 ± 2.97 / 78.19 ± 1.97 | 12.84 ± 1.51 / 49.01 ± 3.34 | 0.0.0 | 0.0.0 | 0.0.0 |
mideind/IceBERT | 124 | 50 | 512 | True | 16,697 ± 2,113 / 5,432 ± 1,749 | 1.83 | 85.32 ± 1.11 / 81.56 ± 1.07 | 60.44 ± 1.93 / 78.11 ± 1.40 | 13.31 ± 0.95 / 49.21 ± 1.36 | 0.0.0 | 0.0.0 | 0.0.0 |
gpt-4-0613 (few-shot, val) | unknown | 100 | 8316 | True | 597 ± 197 / 93 ± 33 | 1.85 | 78.67 ± 2.16 / 59.54 ± 4.85 | 33.65 ± 3.19 / 60.56 ± 2.35 | 32.25 ± 2.01 / 60.12 ± 1.31 | 12.10.0 | 12.10.0 | 12.10.0 |
vesteinn/FoBERT | 124 | 50 | 512 | True | 15,623 ± 2,828 / 3,737 ± 1,191 | 1.88 | 85.04 ± 0.95 / 80.51 ± 1.10 | 50.78 ± 2.21 / 73.10 ± 1.10 | 17.76 ± 2.33 / 36.98 ± 3.29 | 0.0.0 | 0.0.0 | 0.0.0 |
mideind/IceBERT-xlmr-ic3 | 277 | 250 | 512 | True | 11,004 ± 2,244 / 2,324 ± 761 | 1.92 | 84.35 ± 1.14 / 85.07 ± 1.09 | 59.12 ± 1.94 / 78.14 ± 1.24 | 11.18 ± 1.04 / 44.02 ± 2.30 | 0.0.0 | 0.0.0 | 0.0.0 |
vesteinn/IceBERT | 124 | 50 | 512 | True | 12,360 ± 1,611 / 3,858 ± 1,246 | 1.93 | 85.34 ± 0.66 / 84.80 ± 0.60 | 55.88 ± 2.20 / 74.91 ± 1.96 | 13.31 ± 0.95 / 49.21 ± 1.36 | 0.0.0 | 0.0.0 | 0.0.0 |
mideind/IceBERT-ic3 | 124 | 50 | 512 | True | 12,119 ± 1,576 / 3,812 ± 1,242 | 2.13 | 85.03 ± 0.86 / 85.01 ± 0.93 | 45.06 ± 11.13 / 67.74 ± 7.92 | 10.82 ± 1.12 / 42.82 ± 2.91 | 0.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Meta-Llama-3-70B (few-shot, val) | 70554 | 128 | 8192 | True | 312 ± 55 / 177 ± 51 | 2.14 | 75.33 ± 3.06 / 62.43 ± 3.11 | 14.89 ± 3.28 / 51.55 ± 4.71 | 34.36 ± 2.87 / 64.02 ± 2.94 | 12.7.0 | 12.7.0 | 12.7.0 |
mideind/IceBERT-igc | 124 | 50 | 512 | True | 12,551 ± 1,656 / 3,918 ± 1,274 | 2.16 | 79.85 ± 0.94 / 79.32 ± 0.74 | 54.38 ± 3.78 / 75.08 ± 2.62 | 9.91 ± 0.65 / 42.34 ± 1.46 | 0.0.0 | 0.0.0 | 0.0.0 |
jonfd/electra-small-nordic | 22 | 96 | 128 | True | 5,989 ± 120 / 3,809 ± 1,230 | 2.19 | 77.40 ± 0.48 / 78.58 ± 0.56 | 60.64 ± 1.44 / 79.20 ± 1.14 | 6.51 ± 1.69 / 22.61 ± 5.24 | 0.0.0 | 0.0.0 | 0.0.0 |
pere/roberta-debug-8 | 277 | 250 | 512 | True | 15,103 ± 2,954 / 3,356 ± 1,090 | 2.24 | 79.95 ± 1.64 / 80.82 ± 1.21 | 47.87 ± 2.08 / 71.03 ± 1.60 | 8.68 ± 1.65 / 37.44 ± 3.06 | 0.0.0 | 0.0.0 | 0.0.0 |
sentence-transformers/use-cmlm-multilingual | 470 | 501 | 512 | True | 30,231 ± 8,171 / 4,863 ± 1,598 | 2.27 | 80.91 ± 1.24 / 81.30 ± 0.97 | 41.91 ± 3.45 / 67.96 ± 2.53 | 13.73 ± 0.73 / 52.73 ± 0.85 | 0.0.0 | 0.0.0 | 0.0.0 |
NbAiLab/nb-roberta-base-scandi-1e4 | 277 | 250 | 512 | True | 15,074 ± 2,990 / 3,347 ± 1,080 | 2.34 | 81.83 ± 1.65 / 82.24 ± 1.04 | 51.09 ± 3.83 / 73.24 ± 2.23 | 6.66 ± 0.69 / 33.95 ± 0.75 | 0.0.0 | 0.0.0 | 0.0.0 |
pere/roberta-base-exp-8 | 277 | 250 | 512 | True | 15,112 ± 2,969 / 3,347 ± 1,093 | 2.34 | 78.58 ± 1.77 / 79.77 ± 1.32 | 47.36 ± 9.50 / 71.21 ± 5.03 | 7.68 ± 0.84 / 33.05 ± 0.90 | 0.0.0 | 0.0.0 | 0.0.0 |
setu4993/LaBSE | 471 | 501 | 512 | True | 25,418 ± 6,435 / 4,536 ± 1,452 | 2.35 | 80.45 ± 1.29 / 81.01 ± 1.16 | 36.92 ± 7.62 / 66.07 ± 3.89 | 11.75 ± 0.66 / 46.17 ± 1.42 | 0.0.0 | 0.0.0 | 0.0.0 |
pere/roberta-debug-32 | 277 | 250 | 512 | True | 14,958 ± 2,903 / 3,331 ± 1,077 | 2.37 | 79.18 ± 1.88 / 80.01 ± 1.64 | 50.77 ± 3.04 / 72.92 ± 2.20 | 6.98 ± 0.71 / 32.44 ± 0.58 | 0.0.0 | 0.0.0 | 0.0.0 |
gpt-4o-mini-2024-07-18 (few-shot) | unknown | 200 | 128126 | True | 1,171 ± 378 / 120 ± 39 | 2.45 | 67.56 ± 1.93 / 43.20 ± 1.44 | 23.28 ± 7.61 / 52.43 ± 7.20 | 24.91 ± 1.14 / 52.48 ± 0.90 | 12.11.0 | 12.11.0 | 12.11.0 |
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) | 70554 | 128 | 8317 | True | 1,673 ± 583 / 275 ± 85 | 2.53 | 72.91 ± 3.48 / 68.22 ± 4.46 | 5.01 ± 4.64 / 50.69 ± 3.23 | 31.86 ± 1.86 / 60.66 ± 1.58 | 12.7.0 | 12.7.0 | 12.7.0 |
FacebookAI/xlm-roberta-large | 559 | 250 | 512 | True | 17,897 ± 3,921 / 3,463 ± 1,141 | 2.59 | 82.83 ± 1.09 / 83.16 ± 1.02 | 22.78 ± 12.25 / 57.07 ± 8.18 | 15.72 ± 1.39 / 55.29 ± 1.30 | 0.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Llama-2-70b-hf (few-shot, val) | 68977 | 32 | 4221 | True | 1,892 ± 650 / 318 ± 105 | 2.60 | 63.25 ± 4.52 / 53.70 ± 3.09 | 0.00 ± 0.00 / 33.12 ± 0.74 | 32.65 ± 4.82 / 61.15 ± 3.96 | 12.7.0 | 12.7.0 | 12.7.0 |
gpt-3.5-turbo-0613 (few-shot, val) | unknown | 100 | 4095 | True | 921 ± 293 / 113 ± 37 | 2.61 | 69.59 ± 4.54 / 54.49 ± 4.31 | 7.28 ± 4.10 / 52.96 ± 2.00 | 28.50 ± 1.79 / 50.29 ± 1.79 | 0.0.0 | 0.0.0 | 0.0.0 |
google/gemma-2-27b-it (few-shot) | 27227 | 256 | 8320 | True | 1,516 ± 257 / 480 ± 148 | 2.63 | 55.48 ± 2.38 / 47.46 ± 2.77 | 20.10 ± 1.79 / 59.68 ± 0.93 | 27.18 ± 1.05 / 53.76 ± 1.19 | 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 | 2.67 | 61.69 ± 2.17 / 41.25 ± 3.12 | 6.10 ± 1.61 / 48.74 ± 3.05 | 31.52 ± 2.08 / 58.96 ± 1.57 | 12.6.1 | 12.6.1 | 12.6.1 |
pere/roberta-base-exp-32B | 277 | 250 | 512 | True | 15,103 ± 2,982 / 3,357 ± 1,081 | 2.67 | 80.78 ± 1.03 / 82.22 ± 0.67 | 25.20 ± 11.63 / 58.89 ± 6.06 | 8.46 ± 0.80 / 32.56 ± 0.94 | 0.0.0 | 0.0.0 | 0.0.0 |
152334H/miqu-1-70b-sf (few-shot, val) | 68977 | 32 | 32889 | True | 2,126 ± 676 / 319 ± 104 | 2.71 | 61.13 ± 3.80 / 50.79 ± 5.92 | 7.75 ± 5.66 / 46.83 ± 4.00 | 27.27 ± 4.08 / 60.91 ± 1.98 | 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 | 2.71 | 62.08 ± 2.27 / 51.09 ± 4.15 | 7.58 ± 1.03 / 44.38 ± 3.90 | 29.66 ± 3.02 / 56.60 ± 2.22 | 12.5.3 | 12.5.3 | 12.5.3 |
google/gemma-2-9b-it (few-shot) | 9242 | 256 | 8320 | True | 2,062 ± 397 / 589 ± 178 | 2.74 | 45.42 ± 1.86 / 36.69 ± 2.74 | 24.23 ± 0.89 / 61.40 ± 0.70 | 24.96 ± 1.52 / 55.04 ± 0.80 | 13.0.0 | 13.0.0 | 13.0.0 |
cardiffnlp/twitter-xlm-roberta-base | 277 | 250 | 512 | True | 34,475 ± 7,465 / 6,712 ± 2,223 | 2.79 | 72.69 ± 0.79 / 73.57 ± 1.02 | 28.72 ± 5.29 / 60.29 ± 3.57 | 8.46 ± 0.51 / 31.01 ± 0.72 | 0.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Llama-3.1-8B-Instruct (few-shot) | 8030 | 128 | 131200 | True | 2,411 ± 465 / 686 ± 215 | 2.79 | 55.09 ± 1.76 / 40.34 ± 2.34 | 8.45 ± 1.33 / 51.00 ± 1.95 | 29.65 ± 1.09 / 56.96 ± 1.35 | 13.0.0 | 13.0.0 | 13.0.0 |
mistralai/Ministral-8B-Instruct-2410 (few-shot) | 8020 | 131 | 32768 | True | 5,821 ± 1,090 / 1,561 ± 506 | 2.79 | 56.09 ± 3.29 / 42.39 ± 2.51 | 8.51 ± 1.55 / 50.18 ± 2.85 | 29.23 ± 1.41 / 57.06 ± 0.62 | 13.0.0 | 13.0.0 | 13.0.0 |
mistralai/Mistral-Nemo-Instruct-2407 (few-shot) | 12248 | 131 | 1024128 | True | 7,095 ± 2,193 / 1,063 ± 344 | 2.79 | 59.70 ± 1.67 / 41.69 ± 2.75 | 4.64 ± 3.09 / 38.48 ± 2.74 | 29.68 ± 1.85 / 58.88 ± 0.87 | 13.0.0 | 13.0.0 | 13.0.0 |
meta-llama/Llama-3.1-8B (few-shot) | 8030 | 128 | 131200 | True | 2,439 ± 459 / 703 ± 219 | 2.81 | 52.57 ± 2.04 / 36.81 ± 2.12 | 4.87 ± 2.28 / 40.95 ± 4.97 | 30.12 ± 4.65 / 57.81 ± 4.78 | 12.11.0 | 12.11.0 | 13.0.0 |
pere/roberta-base-exp-32 | 277 | 250 | 512 | True | 15,081 ± 2,950 / 3,365 ± 1,092 | 2.85 | 83.57 ± 0.96 / 83.52 ± 0.76 | 23.07 ± 13.28 / 57.26 ± 6.91 | 7.81 ± 1.01 / 34.12 ± 1.47 | 0.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Meta-Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,687 ± 1,121 / 967 ± 313 | 2.89 | 48.70 ± 3.02 / 34.52 ± 2.66 | 7.49 ± 2.51 / 43.40 ± 4.41 | 29.56 ± 5.47 / 55.53 ± 5.79 | 12.6.1 | 12.6.1 | 12.6.1 |
intfloat/multilingual-e5-large | 559 | 250 | 512 | True | 6,732 ± 1,273 / 1,633 ± 523 | 2.91 | 78.43 ± 1.53 / 79.30 ± 1.03 | 10.78 ± 7.04 / 53.28 ± 3.97 | 13.79 ± 0.96 / 54.20 ± 1.31 | 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 | 2.93 | 75.46 ± 1.42 / 77.52 ± 0.88 | 15.21 ± 8.62 / 54.40 ± 5.57 | 10.82 ± 0.92 / 43.65 ± 2.51 | 12.6.1 | 12.6.1 | 12.6.1 |
skole-gpt (few-shot) | unknown | 32 | 32768 | False | 3,583 ± 977 / 686 ± 231 | 3.02 | 42.15 ± 2.74 / 33.52 ± 3.32 | 4.49 ± 1.81 / 47.31 ± 3.24 | 27.51 ± 3.63 / 56.11 ± 1.65 | 13.0.0 | 13.0.0 | 13.0.0 |
AI-Sweden-Models/roberta-large-1350k | 354 | 50 | 512 | True | 5,744 ± 969 / 1,539 ± 492 | 3.04 | 73.92 ± 1.40 / 75.86 ± 1.21 | 11.77 ± 5.19 / 43.60 ± 7.11 | 11.84 ± 1.07 / 48.30 ± 1.02 | 10.0.1 | 10.0.1 | 10.0.1 |
intfloat/multilingual-e5-large-instruct | 560 | 250 | 514 | True | 5,947 ± 1,301 / 1,129 ± 374 | 3.07 | 78.32 ± 1.32 / 79.70 ± 1.08 | 8.11 ± 3.77 / 50.71 ± 3.73 | 13.93 ± 1.14 / 53.59 ± 1.62 | 13.0.0 | 13.0.0 | 13.0.0 |
mhenrichsen/hestenettetLM (few-shot) | 7242 | 32 | 32768 | True | 5,160 ± 804 / 1,654 ± 516 | 3.08 | 50.82 ± 2.72 / 40.35 ± 4.51 | 0.99 ± 1.54 / 39.38 ± 3.81 | 25.74 ± 5.44 / 49.45 ± 5.29 | 12.5.2 | 12.3.2 | 12.3.2 |
google/gemma-2-9b (few-shot) | 9242 | 256 | 8320 | True | 2,038 ± 406 / 566 ± 172 | 3.09 | 30.89 ± 4.28 / 24.06 ± 1.93 | 5.29 ± 3.38 / 35.79 ± 2.12 | 32.25 ± 1.89 / 58.20 ± 1.70 | 13.0.0 | 13.0.0 | 13.0.0 |
google/gemma-7b (few-shot) | 8538 | 256 | 8192 | True | 1,378 ± 260 / 387 ± 119 | 3.09 | 30.61 ± 4.61 / 25.80 ± 3.57 | 5.60 ± 1.68 / 38.26 ± 2.47 | 32.22 ± 3.19 / 55.22 ± 2.59 | 12.9.1 | 12.9.1 | 12.9.1 |
Nexusflow/Starling-LM-7B-beta (few-shot) | 7242 | 32 | 8192 | False | 5,876 ± 1,021 / 1,677 ± 546 | 3.10 | 49.20 ± 2.64 / 40.79 ± 4.46 | 4.45 ± 1.40 / 51.11 ± 0.87 | 24.61 ± 3.36 / 54.99 ± 2.36 | 12.5.2 | 12.5.2 | 12.5.2 |
mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 2,657 ± 524 / 880 ± 278 | 3.12 | 47.24 ± 2.54 / 37.77 ± 3.87 | 1.35 ± 1.70 / 39.37 ± 3.87 | 25.70 ± 5.36 / 49.31 ± 5.21 | 9.1.2 | 9.1.2 | 12.5.1 |
senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 3.15 | 56.71 ± 1.98 / 46.71 ± 5.28 | 3.44 ± 2.02 / 50.18 ± 1.14 | 21.55 ± 2.79 / 54.79 ± 2.02 | 12.6.1 | 12.6.1 | 12.6.1 |
AI-Sweden-Models/tyr (few-shot, val) | 7242 | 32 | 32768 | False | 6,079 ± 1,051 / 1,760 ± 570 | 3.19 | 50.64 ± 5.79 / 43.64 ± 5.92 | -0.06 ± 3.83 / 38.01 ± 2.85 | 23.36 ± 4.19 / 46.70 ± 2.79 | 12.3.2 | 12.3.2 | 12.3.2 |
microsoft/xlm-align-base | 277 | 250 | 512 | True | 14,744 ± 2,870 / 3,265 ± 1,053 | 3.19 | 78.01 ± 2.18 / 79.20 ± 2.10 | 5.92 ± 1.91 / 46.95 ± 3.38 | 10.47 ± 1.42 / 43.32 ± 3.55 | 0.0.0 | 0.0.0 | 0.0.0 |
mistralai/Mistral-7B-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 4,120 ± 976 / 926 ± 306 | 3.19 | 44.68 ± 3.50 / 36.20 ± 4.20 | 0.12 ± 1.68 / 35.09 ± 1.17 | 25.52 ± 5.24 / 49.15 ± 5.21 | 12.10.4 | 12.10.4 | 12.10.4 |
Geotrend/bert-base-da-cased | 103 | 23 | 512 | True | 15,432 ± 2,838 / 3,642 ± 1,189 | 3.20 | 73.81 ± 0.85 / 75.02 ± 0.89 | 6.23 ± 2.63 / 45.40 ± 3.87 | 10.57 ± 1.12 / 42.39 ± 1.52 | 0.0.0 | 0.0.0 | 0.0.0 |
alpindale/Mistral-7B-v0.2-hf (few-shot) | 7242 | 32 | 32768 | True | 1,841 ± 297 / 651 ± 193 | 3.20 | 44.85 ± 3.44 / 36.23 ± 4.15 | -0.69 ± 2.06 / 35.01 ± 1.14 | 25.52 ± 5.27 / 49.12 ± 5.22 | 12.5.2 | 12.5.2 | 12.5.2 |
mideind/IceBERT-mC4-is | 163 | 50 | 512 | True | 12,308 ± 1,614 / 3,851 ± 1,254 | 3.20 | 79.19 ± 0.96 / 80.35 ± 0.69 | 20.95 ± 5.57 / 50.96 ± 5.04 | 0.00 ± 0.00 / 0.00 ± 0.00 | 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 | 3.21 | 36.02 ± 3.80 / 33.67 ± 3.60 | 5.05 ± 2.42 / 48.46 ± 3.52 | 25.83 ± 4.24 / 50.31 ± 4.16 | 13.0.0 | 13.0.0 | 13.0.0 |
AI-Sweden-Models/gpt-sw3-20b (few-shot) | 20918 | 64 | 2048 | True | 1,875 ± 673 / 261 ± 91 | 3.23 | 27.54 ± 3.01 / 23.54 ± 2.16 | 4.61 ± 1.64 / 41.57 ± 3.41 | 28.12 ± 3.77 / 54.61 ± 3.42 | 9.3.1 | 9.3.1 | 9.3.1 |
clips/mfaq | 277 | 250 | 512 | True | 5,591 ± 187 / 3,349 ± 1,105 | 3.24 | 77.30 ± 1.23 / 78.59 ± 0.96 | 3.51 ± 2.33 / 47.05 ± 3.38 | 11.31 ± 0.85 / 43.26 ± 1.64 | 12.7.0 | 12.7.0 | 12.7.0 |
CohereForAI/aya-23-8B (few-shot) | 8028 | 256 | 8192 | False | 5,608 ± 1,062 / 1,472 ± 479 | 3.25 | 47.16 ± 2.83 / 38.60 ± 4.04 | 3.84 ± 1.27 / 40.06 ± 3.79 | 21.75 ± 2.21 / 48.25 ± 2.02 | 13.0.0 | 13.0.0 | 13.0.0 |
Mabeck/Heidrun-Mistral-7B-chat (few-shot) | 7242 | 32 | 32768 | False | 5,822 ± 1,283 / 1,336 ± 430 | 3.25 | 44.84 ± 2.18 / 35.67 ± 3.27 | 0.44 ± 0.57 / 33.88 ± 0.32 | 22.77 ± 3.45 / 47.44 ± 2.15 | 12.7.0 | 12.7.0 | 12.7.0 |
Twitter/twhin-bert-base | 279 | 250 | 512 | True | 11,514 ± 2,041 / 2,862 ± 918 | 3.25 | 70.38 ± 1.44 / 72.00 ± 1.13 | 11.09 ± 6.94 / 51.60 ± 5.19 | 7.67 ± 0.74 / 30.52 ± 0.52 | 12.6.1 | 12.6.1 | 12.6.1 |
mlabonne/AlphaMonarch-7B (few-shot, val) | 7242 | 32 | 8192 | False | 5,340 ± 1,262 / 1,157 ± 375 | 3.25 | 50.85 ± 4.15 / 42.91 ± 5.02 | 1.80 ± 3.84 / 49.12 ± 2.51 | 20.23 ± 3.73 / 52.99 ± 2.11 | 12.5.2 | 12.5.2 | 12.5.2 |
mlabonne/NeuralBeagle14-7B (few-shot, val) | 7242 | 32 | 8192 | False | 2,549 ± 472 / 784 ± 245 | 3.25 | 49.86 ± 4.28 / 42.54 ± 5.03 | 1.26 ± 3.83 / 48.46 ± 2.37 | 22.48 ± 4.43 / 55.51 ± 2.89 | 9.3.2 | 9.3.2 | 12.5.2 |
meta-llama/Llama-2-70b-chat-hf (few-shot, val) | 68977 | 32 | 4221 | True | 1,979 ± 621 / 320 ± 105 | 3.28 | 46.32 ± 5.10 / 35.77 ± 3.59 | -3.31 ± 3.91 / 38.63 ± 2.52 | 24.26 ± 4.64 / 55.26 ± 2.41 | 12.7.0 | 12.7.0 | 12.7.0 |
google-bert/bert-base-multilingual-uncased | 167 | 106 | 512 | True | 13,993 ± 3,217 / 2,752 ± 893 | 3.30 | 60.88 ± 1.42 / 59.11 ± 1.19 | 13.50 ± 7.64 / 52.75 ± 5.19 | 9.65 ± 0.34 / 42.51 ± 1.87 | 0.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Llama-3.2-3B (few-shot) | 3213 | 128 | 131200 | True | 3,713 ± 877 / 836 ± 267 | 3.31 | 42.04 ± 3.53 / 25.31 ± 1.59 | 0.00 ± 0.00 / 32.97 ± 0.29 | 24.07 ± 4.63 / 49.31 ± 4.59 | 13.0.0 | 13.0.0 | 13.0.0 |
AI-Sweden-Models/roberta-large-1160k | 354 | 50 | 512 | True | 14,014 ± 2,384 / 3,625 ± 1,146 | 3.32 | 74.30 ± 2.15 / 76.10 ± 2.10 | 2.06 ± 2.43 / 37.04 ± 4.14 | 11.47 ± 0.96 / 48.11 ± 0.94 | 10.0.1 | 10.0.1 | 10.0.1 |
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 3.32 | 43.11 ± 2.23 / 29.34 ± 3.27 | 3.40 ± 1.87 / 48.75 ± 1.47 | 19.18 ± 3.69 / 49.62 ± 2.59 | 9.2.0 | 9.3.1 | 12.4.0 |
CohereForAI/aya-expanse-8b (few-shot) | 8028 | 256 | 8192 | False | 5,581 ± 1,066 / 1,471 ± 483 | 3.33 | 28.98 ± 2.63 / 21.75 ± 1.89 | 4.93 ± 1.06 / 49.69 ± 2.65 | 24.72 ± 2.22 / 54.41 ± 1.43 | 13.0.0 | 13.0.0 | 13.0.0 |
Geotrend/bert-base-25lang-cased | 151 | 85 | 512 | True | 13,908 ± 3,201 / 2,700 ± 872 | 3.34 | 74.65 ± 1.65 / 75.83 ± 1.41 | 2.89 ± 3.00 / 44.63 ± 4.01 | 9.29 ± 0.66 / 41.76 ± 1.89 | 0.0.0 | 0.0.0 | 0.0.0 |
microsoft/infoxlm-base | 277 | 250 | 512 | True | 34,735 ± 7,558 / 6,846 ± 2,312 | 3.34 | 77.09 ± 2.00 / 78.38 ± 1.60 | 1.71 ± 3.02 / 42.83 ± 4.18 | 8.56 ± 1.96 / 37.41 ± 5.69 | 0.0.0 | 0.0.0 | 0.0.0 |
ibm-granite/granite-3.0-8b-instruct (few-shot) | 8171 | 49 | 4096 | True | 5,090 ± 937 / 1,423 ± 466 | 3.36 | 42.67 ± 3.13 / 35.40 ± 3.93 | 1.11 ± 1.45 / 34.61 ± 0.82 | 22.25 ± 2.78 / 49.58 ± 2.19 | 13.0.0 | 13.0.0 | 13.0.0 |
01-ai/Yi-1.5-6B (few-shot) | 6061 | 64 | 4224 | True | 2,867 ± 550 / 793 ± 253 | 3.41 | 38.15 ± 2.30 / 28.10 ± 4.65 | 0.98 ± 1.44 / 35.86 ± 1.12 | 20.39 ± 3.04 / 44.20 ± 2.72 | 13.0.0 | 13.0.0 | 13.0.0 |
KennethEnevoldsen/dfm-sentence-encoder-medium | 124 | 50 | 512 | True | 14,998 ± 2,549 / 3,833 ± 1,223 | 3.41 | 64.88 ± 1.32 / 67.55 ± 1.07 | -0.60 ± 0.90 / 40.52 ± 3.55 | 12.39 ± 1.75 / 29.86 ± 2.90 | 0.0.0 | 0.0.0 | 0.0.0 |
occiglot/occiglot-7b-eu5-instruct (few-shot) | 7242 | 32 | 32768 | False | 2,088 ± 352 / 706 ± 214 | 3.41 | 40.71 ± 2.93 / 34.57 ± 4.02 | 0.71 ± 2.00 / 36.90 ± 2.10 | 20.66 ± 3.67 / 45.91 ± 3.45 | 12.5.2 | 12.3.1 | 12.4.0 |
ZurichNLP/unsup-simcse-xlm-roberta-base | 277 | 250 | 512 | True | 34,520 ± 7,443 / 6,730 ± 2,224 | 3.42 | 75.27 ± 1.18 / 76.85 ± 0.94 | 3.47 ± 1.14 / 47.14 ± 3.33 | 7.67 ± 0.80 / 32.31 ± 0.81 | 12.6.1 | 12.6.1 | 12.6.1 |
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) | 7242 | 32 | 32768 | True | 5,054 ± 1,200 / 1,056 ± 339 | 3.42 | 36.47 ± 4.24 / 30.33 ± 3.70 | 2.54 ± 1.29 / 50.66 ± 0.62 | 18.66 ± 4.26 / 38.73 ± 3.66 | 12.5.3 | 12.5.3 | 12.5.3 |
LumiOpen/Viking-13B (few-shot) | 14030 | 131 | 4224 | True | 840 ± 79 / 400 ± 124 | 3.43 | 26.28 ± 5.09 / 22.73 ± 3.35 | 2.17 ± 1.98 / 48.03 ± 2.64 | 22.65 ± 3.50 / 45.48 ± 2.99 | 12.10.5 | 12.10.5 | 12.10.5 |
ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 3.43 | 50.89 ± 2.90 / 35.75 ± 4.67 | 0.50 ± 0.94 / 33.77 ± 0.30 | 17.43 ± 3.38 / 41.32 ± 3.18 | 13.0.0 | 13.0.0 | 13.0.0 |
Twitter/twhin-bert-large | 560 | 250 | 512 | True | 9,707 ± 1,664 / 2,549 ± 831 | 3.44 | 71.48 ± 1.97 / 73.71 ± 1.37 | 2.20 ± 2.00 / 43.42 ± 4.87 | 8.19 ± 0.76 / 33.02 ± 1.85 | 0.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Llama-2-13b-chat-hf (few-shot) | 13016 | 32 | 4096 | True | 2,849 ± 622 / 723 ± 229 | 3.44 | 37.53 ± 3.42 / 30.51 ± 3.50 | 0.14 ± 1.96 / 39.45 ± 3.51 | 20.91 ± 2.93 / 43.86 ± 1.90 | 12.11.0 | 12.10.4 | 12.11.0 |
ibm-granite/granite-3.0-8b-base (few-shot) | 8171 | 49 | 4224 | True | 5,116 ± 943 / 1,436 ± 472 | 3.45 | 37.82 ± 3.63 / 32.97 ± 3.97 | -0.12 ± 1.31 / 33.78 ± 0.32 | 21.59 ± 2.22 / 47.09 ± 1.09 | 13.0.0 | 13.0.0 | 13.0.0 |
KennethEnevoldsen/dfm-sentence-encoder-medium-2 | 124 | 50 | 512 | True | 14,965 ± 2,550 / 3,798 ± 1,216 | 3.46 | 64.57 ± 1.62 / 67.12 ± 1.47 | 0.86 ± 1.11 / 43.33 ± 2.97 | 10.76 ± 1.00 / 27.29 ± 2.41 | 0.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Llama-2-13b-hf (few-shot) | 13016 | 32 | 4096 | True | 2,898 ± 637 / 736 ± 236 | 3.46 | 36.56 ± 3.03 / 34.23 ± 3.45 | 1.73 ± 1.56 / 45.02 ± 2.05 | 21.97 ± 4.26 / 46.27 ± 3.94 | 12.10.5 | 12.10.4 | 12.10.5 |
NbAiLab/nb-roberta-base-scandinavian | 125 | 50 | 512 | True | 14,051 ± 3,289 / 2,704 ± 897 | 3.49 | 69.04 ± 1.65 / 71.18 ± 1.15 | 3.34 ± 1.87 / 44.43 ± 4.20 | 7.17 ± 0.77 / 30.71 ± 1.15 | 0.0.0 | 0.0.0 | 0.0.0 |
vesteinn/DanskBERT | 124 | 50 | 512 | True | 15,749 ± 2,665 / 4,014 ± 1,281 | 3.49 | 65.29 ± 1.46 / 60.81 ± 1.38 | -0.03 ± 1.72 / 42.37 ± 4.10 | 10.49 ± 2.71 / 26.84 ± 3.93 | 0.0.0 | 0.0.0 | 0.0.0 |
HPLT/gpt-7b-nordic-prerelease (few-shot) | 7550 | 131 | 4096 | True | 5,404 ± 931 / 1,638 ± 542 | 3.50 | 27.96 ± 3.08 / 25.78 ± 3.20 | -0.00 ± 1.28 / 35.53 ± 1.87 | 23.17 ± 2.78 / 44.72 ± 2.82 | 12.5.2 | 12.3.2 | 12.3.2 |
sentence-transformers/paraphrase-xlm-r-multilingual-v1 | 278 | 250 | 512 | True | 20,154 ± 4,438 / 3,890 ± 1,256 | 3.51 | 65.15 ± 1.02 / 67.50 ± 0.90 | 1.15 ± 1.57 / 49.60 ± 0.88 | 9.56 ± 0.42 / 27.88 ± 0.44 | 12.6.1 | 12.6.1 | 12.6.1 |
KBLab/megatron-bert-large-swedish-cased-165k | 369 | 64 | 512 | True | 7,138 ± 1,111 / 2,067 ± 660 | 3.52 | 63.35 ± 1.41 / 66.01 ± 1.32 | 4.94 ± 2.20 / 46.79 ± 2.19 | 7.02 ± 0.72 / 34.05 ± 1.35 | 0.0.0 | 0.0.0 | 0.0.0 |
NbAiLab/nb-sbert-base | 177 | 120 | 512 | True | 17,757 ± 3,883 / 3,864 ± 1,237 | 3.52 | 69.89 ± 1.31 / 72.29 ± 1.08 | 2.20 ± 2.16 / 43.99 ± 4.02 | 6.45 ± 0.85 / 30.59 ± 1.95 | 12.10.5 | 12.10.5 | 12.10.5 |
google/gemma-7b-it (few-shot) | 8538 | 256 | 8317 | False | 1,792 ± 249 / 668 ± 203 | 3.52 | 37.69 ± 3.97 / 34.52 ± 3.74 | 3.11 ± 1.49 / 48.48 ± 2.77 | 18.34 ± 2.07 / 43.26 ± 1.28 | 12.10.0 | 12.10.0 | 12.10.0 |
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) | unknown | 32 | 4096 | False | 3,254 ± 1,068 / 484 ± 173 | 3.53 | 28.35 ± 2.89 / 26.44 ± 2.75 | 3.14 ± 1.74 / 44.57 ± 3.85 | 19.80 ± 2.66 / 43.44 ± 1.74 | 9.3.1 | 9.3.1 | 9.3.1 |
meta-llama/Llama-3.2-3B-Instruct (few-shot) | 3213 | 128 | 131200 | False | 10,424 ± 2,641 / 2,081 ± 666 | 3.53 | 27.57 ± 1.71 / 22.52 ± 1.18 | -1.39 ± 1.30 / 34.40 ± 1.96 | 22.98 ± 2.48 / 50.74 ± 1.59 | 13.0.0 | 13.0.0 | 13.0.0 |
sentence-transformers/stsb-xlm-r-multilingual | 277 | 250 | 512 | True | 15,040 ± 2,953 / 3,417 ± 1,100 | 3.54 | 66.23 ± 1.24 / 67.76 ± 1.08 | 0.04 ± 0.78 / 45.96 ± 2.83 | 10.04 ± 0.99 / 28.66 ± 0.92 | 0.0.0 | 0.0.0 | 0.0.0 |
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) | 20918 | 64 | 2048 | True | 1,831 ± 587 / 268 ± 90 | 3.56 | 21.20 ± 1.45 / 19.22 ± 1.47 | 1.95 ± 1.01 / 35.16 ± 0.86 | 24.95 ± 3.00 / 53.88 ± 1.93 | 9.3.1 | 9.3.1 | 9.3.1 |
occiglot/occiglot-7b-eu5 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 3.56 | 40.08 ± 2.82 / 37.15 ± 4.07 | 1.59 ± 1.86 / 39.93 ± 4.19 | 15.98 ± 3.74 / 39.67 ± 3.36 | 12.5.2 | 12.1.0 | 12.1.0 |
meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 3.58 | 41.10 ± 3.35 / 40.54 ± 3.19 | -1.07 ± 2.09 / 44.83 ± 2.20 | 16.13 ± 2.52 / 39.51 ± 1.98 | 9.3.1 | 9.3.1 | 12.4.0 |
AI-Nordics/bert-large-swedish-cased | 334 | 31 | 512 | True | 7,199 ± 1,139 / 2,051 ± 651 | 3.59 | 61.64 ± 1.20 / 63.94 ± 1.20 | 3.26 ± 2.26 / 48.60 ± 1.54 | 7.79 ± 0.49 / 35.42 ± 0.60 | 12.7.0 | 12.7.0 | 12.7.0 |
KBLab/megatron-bert-large-swedish-cased-110k | 369 | 64 | 512 | True | 7,075 ± 1,093 / 2,057 ± 661 | 3.59 | 63.11 ± 1.31 / 65.36 ± 1.28 | 3.47 ± 1.38 / 48.04 ± 2.34 | 7.76 ± 0.57 / 36.28 ± 1.35 | 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 | 3.60 | 63.43 ± 1.03 / 65.68 ± 0.99 | 2.56 ± 2.70 / 48.75 ± 2.46 | 7.00 ± 0.68 / 33.28 ± 1.36 | 12.7.0 | 12.7.0 | 12.7.0 |
Geotrend/distilbert-base-25lang-cased | 109 | 85 | 512 | True | 26,099 ± 5,881 / 5,178 ± 1,665 | 3.61 | 65.76 ± 0.98 / 68.15 ± 0.89 | 2.08 ± 1.89 / 48.68 ± 2.96 | 6.81 ± 0.33 / 30.96 ± 0.65 | 12.6.1 | 12.6.1 | 12.6.1 |
LumiOpen/Viking-7B (few-shot) | 7550 | 131 | 4096 | True | 4,969 ± 1,109 / 1,134 ± 374 | 3.61 | 21.41 ± 5.01 / 19.94 ± 5.01 | 1.76 ± 1.62 / 42.86 ± 2.68 | 22.54 ± 1.74 / 44.93 ± 1.92 | 12.7.0 | 12.7.0 | 12.7.0 |
meta-llama/Llama-2-7b-hf (few-shot) | 6738 | 32 | 4096 | True | 930 ± 310 / 128 ± 43 | 3.61 | 32.71 ± 2.77 / 32.17 ± 2.13 | 0.66 ± 1.75 / 40.36 ± 4.19 | 18.04 ± 4.05 / 41.40 ± 3.27 | 9.2.0 | 9.2.0 | 12.5.1 |
microsoft/Phi-3-mini-4k-instruct (few-shot) | 3821 | 32 | 4096 | True | 5,224 ± 1,371 / 1,063 ± 358 | 3.61 | 33.05 ± 4.29 / 29.75 ± 3.67 | 0.71 ± 1.18 / 34.80 ± 0.88 | 17.23 ± 2.51 / 39.88 ± 1.59 | 12.10.5 | 12.10.5 | 12.10.5 |
KBLab/megatron-bert-base-swedish-cased-125k | 135 | 64 | 512 | True | 15,763 ± 2,523 / 4,238 ± 1,370 | 3.62 | 62.52 ± 0.91 / 65.01 ± 0.92 | 3.07 ± 2.59 / 49.75 ± 1.88 | 6.66 ± 0.62 / 31.00 ± 0.71 | 12.7.0 | 12.7.0 | 12.7.0 |
MaLA-LM/emma-500-llama2-7b (few-shot) | 6738 | 32 | 4096 | True | 6,275 ± 1,193 / 1,755 ± 578 | 3.63 | 31.81 ± 1.93 / 29.47 ± 2.02 | 3.63 ± 1.69 / 44.49 ± 3.89 | 16.72 ± 7.29 / 46.83 ± 5.93 | 13.0.0 | 13.0.0 | 13.0.0 |
flax-community/nordic-roberta-wiki | 124 | 50 | 512 | True | 16,227 ± 2,650 / 4,252 ± 1,393 | 3.63 | 63.31 ± 1.41 / 65.79 ± 1.41 | 2.47 ± 1.56 / 49.04 ± 2.54 | 5.99 ± 0.66 / 25.32 ± 0.78 | 0.0.0 | 0.0.0 | 0.0.0 |
google/gemma-2-2b-it (few-shot) | 2614 | 256 | 8320 | True | 5,374 ± 1,233 / 1,193 ± 377 | 3.63 | 14.79 ± 4.70 / 13.03 ± 2.92 | 1.10 ± 1.54 / 34.67 ± 0.87 | 25.42 ± 1.09 / 51.72 ± 1.28 | 13.0.0 | 13.0.0 | 13.0.0 |
sentence-transformers/quora-distilbert-multilingual | 135 | 120 | 512 | True | 26,458 ± 5,992 / 5,274 ± 1,731 | 3.64 | 63.36 ± 0.96 / 65.24 ± 0.77 | 1.02 ± 0.94 / 47.05 ± 2.13 | 6.48 ± 0.37 / 27.44 ± 0.44 | 0.0.0 | 0.0.0 | 0.0.0 |
DeepPavlov/rubert-base-cased | 177 | 120 | 512 | True | 15,785 ± 2,658 / 3,983 ± 1,289 | 3.65 | 61.95 ± 1.77 / 57.52 ± 1.81 | 2.40 ± 1.34 / 43.49 ± 3.76 | 6.04 ± 0.56 / 29.39 ± 0.76 | 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 | 3.65 | 43.20 ± 3.61 / 32.10 ± 3.76 | 0.00 ± 0.00 / 33.69 ± 0.28 | 14.28 ± 2.94 / 38.21 ± 2.38 | 13.0.0 | 13.0.0 | 13.0.0 |
Geotrend/distilbert-base-en-no-cased | 69 | 33 | 512 | True | 26,597 ± 6,036 / 5,271 ± 1,697 | 3.66 | 63.84 ± 1.42 / 66.44 ± 1.31 | 2.15 ± 1.73 / 50.19 ± 1.04 | 5.23 ± 0.36 / 28.73 ± 0.75 | 12.7.0 | 12.7.0 | 12.7.0 |
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) | 6738 | 32 | 4096 | False | 5,384 ± 879 / 1,746 ± 553 | 3.66 | 34.62 ± 4.64 / 33.25 ± 4.37 | -0.24 ± 1.43 / 33.75 ± 0.31 | 18.10 ± 1.85 / 43.52 ± 0.87 | 12.5.2 | 12.3.2 | 12.3.2 |
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 3.66 | 36.04 ± 2.59 / 24.74 ± 2.79 | -0.36 ± 1.36 / 33.94 ± 0.32 | 18.06 ± 3.16 / 42.57 ± 2.89 | 9.3.1 | 9.3.1 | 12.4.0 |
KBLab/bert-base-swedish-cased-new | 135 | 64 | 512 | True | 15,933 ± 2,541 / 4,289 ± 1,376 | 3.67 | 64.61 ± 1.04 / 67.19 ± 0.98 | 1.15 ± 1.59 / 45.33 ± 3.42 | 5.29 ± 0.80 / 26.53 ± 1.40 | 12.7.0 | 12.7.0 | 12.7.0 |
FacebookAI/roberta-base | 124 | 50 | 512 | True | 13,354 ± 3,334 / 2,451 ± 777 | 3.69 | 60.18 ± 3.20 / 55.70 ± 3.19 | 1.07 ± 1.62 / 42.87 ± 4.48 | 6.66 ± 0.67 / 32.13 ± 1.93 | 0.0.0 | 0.0.0 | 0.0.0 |
flax-community/swe-roberta-wiki-oscar | 124 | 50 | 512 | True | 15,437 ± 2,628 / 3,834 ± 1,252 | 3.69 | 62.23 ± 1.24 / 64.45 ± 1.23 | 1.45 ± 1.74 / 48.21 ± 1.91 | 5.52 ± 0.55 / 26.85 ± 1.03 | 0.0.0 | 0.0.0 | 0.0.0 |
patrickvonplaten/norwegian-roberta-base | 124 | 50 | 512 | True | 15,698 ± 2,699 / 3,891 ± 1,278 | 3.69 | 60.79 ± 1.66 / 56.41 ± 1.53 | 1.29 ± 1.37 / 44.71 ± 3.00 | 6.64 ± 0.72 / 26.52 ± 0.97 | 0.0.0 | 0.0.0 | 0.0.0 |
3ebdola/Dialectal-Arabic-XLM-R-Base | 277 | 250 | 512 | True | 12,783 ± 2,537 / 2,712 ± 885 | 3.70 | 46.95 ± 2.05 / 50.04 ± 1.99 | 1.40 ± 1.40 / 48.02 ± 2.05 | 10.48 ± 1.75 / 28.80 ± 1.59 | 12.6.1 | 12.6.1 | 12.6.1 |
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) | 7111 | 64 | 2048 | True | 2,383 ± 451 / 718 ± 221 | 3.70 | 19.39 ± 1.31 / 19.04 ± 1.36 | 0.01 ± 1.49 / 34.61 ± 0.73 | 20.92 ± 3.41 / 51.75 ± 2.10 | 12.7.0 | 12.7.0 | 12.4.0 |
norallm/normistral-7b-warm-instruct (few-shot) | 7248 | 33 | 4096 | True | 6,194 ± 949 / 1,967 ± 619 | 3.70 | 36.59 ± 3.56 / 27.50 ± 2.53 | 0.86 ± 2.41 / 36.44 ± 1.27 | 14.58 ± 2.13 / 37.44 ± 1.86 | 12.7.0 | 12.7.0 | 12.7.0 |
sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | 278 | 250 | 512 | True | 15,100 ± 3,019 / 3,369 ± 1,103 | 3.70 | 64.43 ± 1.61 / 66.43 ± 1.37 | 0.83 ± 1.97 / 48.18 ± 2.18 | 4.66 ± 0.45 / 28.89 ± 0.43 | 12.7.0 | 12.7.0 | 12.7.0 |
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 135 | 120 | 512 | True | 33,753 ± 8,349 / 5,937 ± 1,946 | 3.71 | 59.15 ± 1.28 / 61.27 ± 1.27 | 0.80 ± 1.69 / 45.59 ± 3.23 | 6.14 ± 0.74 / 28.02 ± 0.58 | 12.6.1 | 12.6.1 | 12.6.1 |
DDSC/roberta-base-danish | 125 | 50 | 512 | True | 15,004 ± 2,964 / 3,290 ± 1,092 | 3.72 | 59.63 ± 1.40 / 61.65 ± 1.33 | 1.76 ± 1.23 / 49.36 ± 1.58 | 5.55 ± 0.70 / 27.22 ± 1.06 | 0.0.0 | 0.0.0 | 0.0.0 |
KB/bert-base-swedish-cased | 124 | 50 | 512 | True | 16,181 ± 2,451 / 4,620 ± 1,507 | 3.72 | 60.09 ± 1.69 / 55.62 ± 1.60 | 1.76 ± 1.61 / 44.34 ± 3.01 | 5.57 ± 0.78 / 28.89 ± 1.29 | 0.0.0 | 0.0.0 | 0.0.0 |
allenai/OLMo-1.7-7B-hf (few-shot) | 6888 | 50 | 4096 | True | 3,371 ± 876 / 561 ± 184 | 3.72 | 27.44 ± 3.28 / 23.50 ± 3.29 | 1.46 ± 1.18 / 41.20 ± 3.25 | 17.26 ± 3.80 / 39.06 ± 3.00 | 12.10.5 | 12.10.4 | 12.10.5 |
microsoft/Phi-3-mini-128k-instruct (few-shot) | 3821 | 32 | 131072 | True | 7,312 ± 1,668 / 1,609 ± 525 | 3.72 | 27.22 ± 3.65 / 24.21 ± 2.67 | 1.31 ± 1.28 / 39.67 ± 4.39 | 17.24 ± 2.72 / 41.15 ± 1.57 | 12.9.1 | 12.9.1 | 12.9.1 |
ibm-granite/granite-3.0-2b-instruct (few-shot) | 2634 | 49 | 4224 | True | 10,194 ± 2,403 / 2,193 ± 731 | 3.73 | 30.21 ± 4.29 / 29.79 ± 3.81 | 3.67 ± 1.87 / 48.02 ± 3.06 | 15.12 ± 1.65 / 40.55 ± 1.13 | 13.0.0 | 13.0.0 | 13.0.0 |
KennethEnevoldsen/dfm-sentence-encoder-large-1 | 354 | 50 | 512 | True | 6,245 ± 1,260 / 1,416 ± 453 | 3.75 | 48.31 ± 1.22 / 47.65 ± 1.19 | 3.18 ± 1.21 / 46.35 ± 3.68 | 7.94 ± 0.81 / 36.61 ± 1.41 | 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 | 3.76 | 55.25 ± 1.05 / 56.58 ± 1.22 | 2.19 ± 1.72 / 49.66 ± 1.83 | 5.14 ± 0.73 / 25.93 ± 0.80 | 12.7.0 | 12.7.0 | 12.7.0 |
danish-foundation-models/encoder-large-v1 | 354 | 50 | 512 | True | 6,671 ± 1,380 / 1,497 ± 482 | 3.76 | 49.68 ± 2.20 / 48.34 ± 1.96 | 0.33 ± 1.39 / 47.30 ± 2.09 | 9.30 ± 0.95 / 36.88 ± 0.75 | 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 | 3.76 | 38.52 ± 3.25 / 28.84 ± 5.49 | 0.00 ± 0.00 / 33.69 ± 0.28 | 12.94 ± 2.60 / 36.06 ± 2.17 | 13.0.0 | 13.0.0 | 13.0.0 |
dbmdz/bert-medium-historic-multilingual-cased | 42 | 32 | 512 | True | 24,291 ± 4,887 / 5,096 ± 1,655 | 3.77 | 58.90 ± 1.06 / 62.01 ± 0.98 | 0.27 ± 1.53 / 43.40 ± 3.00 | 5.90 ± 0.57 / 27.22 ± 1.18 | 0.0.0 | 0.0.0 | 0.0.0 |
pdelobelle/robbert-v2-dutch-base | 116 | 40 | 512 | True | 15,481 ± 2,820 / 3,708 ± 1,186 | 3.77 | 55.54 ± 2.48 / 51.36 ± 2.29 | 1.06 ± 1.29 / 43.27 ± 3.33 | 5.42 ± 0.52 / 26.08 ± 0.59 | 0.0.0 | 0.0.0 | 0.0.0 |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | 118 | 250 | 512 | True | 29,201 ± 6,282 / 6,045 ± 2,027 | 3.77 | 62.44 ± 1.07 / 64.98 ± 0.92 | 1.91 ± 1.14 / 46.54 ± 2.46 | 3.69 ± 0.48 / 27.48 ± 0.49 | 0.0.0 | 0.0.0 | 0.0.0 |
tollefj/nordavind-7b-instruct-warm (few-shot) | 7248 | 33 | 2048 | False | 6,450 ± 961 / 2,082 ± 658 | 3.77 | 34.76 ± 4.42 / 23.42 ± 2.33 | 0.77 ± 1.05 / 39.63 ± 2.41 | 12.80 ± 2.37 / 30.77 ± 2.12 | 12.5.2 | 12.3.2 | 12.4.0 |
deepset/gbert-base | 109 | 31 | 512 | True | 37,268 ± 6,577 / 8,719 ± 2,865 | 3.79 | 56.89 ± 1.71 / 52.39 ± 1.71 | -0.13 ± 1.55 / 45.48 ± 2.51 | 6.69 ± 0.63 / 32.15 ± 1.11 | 0.0.0 | 0.0.0 | 0.0.0 |
ltg/norbert3-base | 124 | 50 | 512 | True | 11,405 ± 1,970 / 2,856 ± 917 | 3.80 | 68.22 ± 1.28 / 70.95 ± 1.02 | 2.41 ± 1.87 / 45.21 ± 3.51 | 0.00 ± 0.00 / 0.00 ± 0.00 | 12.7.0 | 12.7.0 | 0.0.0 |
meta-llama/Llama-3.2-1B-Instruct (few-shot) | 1236 | 128 | 131200 | False | 7,436 ± 1,846 / 1,508 ± 479 | 3.81 | 33.76 ± 3.44 / 32.21 ± 2.82 | -0.13 ± 1.34 / 42.66 ± 3.62 | 12.43 ± 2.62 / 33.38 ± 1.39 | 13.0.0 | 13.0.0 | 13.0.0 |
google/gemma-2-2b (few-shot) | 2614 | 256 | 8320 | True | 5,235 ± 1,226 / 1,154 ± 366 | 3.82 | 10.67 ± 5.23 / 13.01 ± 3.26 | -0.21 ± 0.99 / 33.71 ± 0.28 | 20.22 ± 3.01 / 43.48 ± 2.32 | 13.0.0 | 13.0.0 | 13.0.0 |
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) | 1445 | 64 | 2048 | True | 4,608 ± 988 / 1,115 ± 354 | 3.83 | 1.42 ± 1.60 / 3.11 ± 1.85 | 0.75 ± 0.73 / 45.87 ± 2.20 | 23.33 ± 2.22 / 45.28 ± 1.58 | 12.7.0 | 12.7.0 | 12.7.0 |
dbmdz/bert-base-historic-multilingual-cased | 111 | 32 | 512 | True | 20,047 ± 4,407 / 3,844 ± 1,259 | 3.84 | 56.62 ± 0.57 / 59.34 ± 0.66 | -1.21 ± 1.45 / 47.43 ± 1.67 | 6.01 ± 0.45 / 29.08 ± 1.30 | 12.6.1 | 12.6.1 | 12.6.1 |
DDSC/roberta-base-scandinavian | 124 | 50 | 512 | True | 14,491 ± 2,800 / 3,182 ± 1,026 | 3.86 | 51.53 ± 10.96 / 53.86 ± 11.50 | 0.89 ± 1.79 / 47.82 ± 2.03 | 5.19 ± 0.47 / 27.71 ± 0.76 | 0.0.0 | 0.0.0 | 0.0.0 |
Qwen/Qwen1.5-4B-Chat (few-shot) | 3950 | 152 | 32768 | False | 4,347 ± 893 / 1,135 ± 365 | 3.86 | 25.65 ± 2.99 / 22.30 ± 2.30 | -0.35 ± 2.01 / 44.36 ± 4.13 | 14.46 ± 2.66 / 32.31 ± 1.66 | 12.5.2 | 12.1.0 | 12.5.2 |
ibm-granite/granite-3.0-2b-base (few-shot) | 2534 | 49 | 4224 | True | 10,187 ± 2,363 / 2,204 ± 737 | 3.87 | 29.51 ± 2.44 / 29.14 ± 2.34 | -0.32 ± 0.63 / 33.70 ± 0.28 | 12.36 ± 2.12 / 34.06 ± 1.47 | 13.0.0 | 13.0.0 | 13.0.0 |
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) | 3374 | 49 | 4096 | True | 10,246 ± 3,021 / 1,629 ± 550 | 3.89 | 23.14 ± 2.08 / 23.09 ± 2.24 | 0.18 ± 1.67 / 33.93 ± 0.34 | 14.15 ± 2.49 / 36.10 ± 1.65 | 13.0.0 | 13.0.0 | 13.0.0 |
ibm-granite/granite-3b-code-instruct-2k (few-shot) | 3483 | 49 | 2048 | True | 9,059 ± 1,947 / 2,201 ± 728 | 3.89 | 33.57 ± 2.48 / 33.47 ± 2.48 | 0.00 ± 0.00 / 33.69 ± 0.28 | 11.27 ± 2.38 / 33.54 ± 1.64 | 13.0.0 | 13.0.0 | 13.0.0 |
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) | 1711 | 49 | 8192 | True | 15,971 ± 3,654 / 3,609 ± 1,197 | 3.91 | 26.23 ± 3.53 / 23.26 ± 2.30 | 2.69 ± 1.42 / 45.61 ± 2.69 | 10.84 ± 2.59 / 28.57 ± 2.09 | 13.1.0 | 13.1.0 | 13.1.0 |
KBLab/albert-base-swedish-cased-alpha | 14 | 50 | 512 | True | 15,925 ± 2,281 / 4,780 ± 1,554 | 3.92 | 42.07 ± 2.27 / 43.57 ± 2.15 | 0.27 ± 2.04 / 48.20 ± 1.32 | 7.35 ± 0.66 / 20.44 ± 1.46 | 0.0.0 | 0.0.0 | 0.0.0 |
NorwAI/NorwAI-Mistral-7B (few-shot) | 7537 | 68 | 4096 | True | 3,035 ± 503 / 911 ± 300 | 3.97 | 21.40 ± 2.86 / 19.64 ± 2.27 | 0.99 ± 1.30 / 35.84 ± 1.02 | 13.84 ± 2.99 / 36.90 ± 2.08 | 12.10.4 | 12.10.4 | 12.10.4 |
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) | 471 | 64 | 2048 | True | 5,855 ± 1,373 / 1,223 ± 391 | 3.98 | 17.79 ± 1.18 / 18.12 ± 1.18 | 0.08 ± 0.15 / 33.73 ± 0.26 | 15.04 ± 2.53 / 34.77 ± 1.72 | 12.7.0 | 12.7.0 | 12.7.0 |
dbmdz/bert-tiny-historic-multilingual-cased | 5 | 32 | 512 | True | 78,027 ± 15,466 / 17,064 ± 5,335 | 3.98 | 43.93 ± 1.57 / 46.59 ± 1.50 | 0.04 ± 1.75 / 47.53 ± 1.60 | 6.13 ± 0.63 / 21.73 ± 0.95 | 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 | 3.98 | 28.06 ± 2.33 / 29.10 ± 2.34 | 0.10 ± 1.11 / 33.70 ± 0.88 | 11.07 ± 2.29 / 27.33 ± 1.88 | 12.10.5 | 12.10.5 | 12.10.5 |
sentence-transformers/distiluse-base-multilingual-cased-v2 | 135 | 120 | 512 | True | 33,247 ± 8,123 / 6,017 ± 1,977 | 3.99 | 48.62 ± 2.65 / 51.75 ± 2.37 | 2.64 ± 2.11 / 49.47 ± 1.79 | 1.22 ± 0.49 / 12.16 ± 3.00 | 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 | 3.99 | 47.62 ± 2.97 / 50.59 ± 2.81 | 2.64 ± 2.11 / 49.47 ± 1.79 | 1.27 ± 0.46 / 12.20 ± 2.90 | 12.6.1 | 12.6.1 | 12.6.1 |
google/gemma-2b (few-shot) | 2506 | 256 | 8192 | True | 6,087 ± 1,046 / 1,902 ± 563 | 4.00 | 8.83 ± 5.85 / 9.93 ± 4.70 | 0.31 ± 1.95 / 45.42 ± 3.51 | 16.08 ± 2.91 / 37.41 ± 2.44 | 12.5.2 | 12.1.0 | 12.1.0 |
Qwen/Qwen1.5-4B (few-shot) | 3950 | 152 | 32768 | True | 3,248 ± 739 / 761 ± 252 | 4.03 | 15.66 ± 5.89 / 15.78 ± 3.95 | -0.55 ± 1.06 / 39.57 ± 3.61 | 14.11 ± 3.08 / 34.56 ± 2.38 | 12.5.2 | 12.1.0 | 12.1.0 |
EuropeanParliament/EUBERT | 94 | 66 | 512 | True | 20,070 ± 3,977 / 4,400 ± 1,435 | 4.04 | 29.71 ± 1.94 / 28.69 ± 1.97 | 2.71 ± 1.10 / 49.68 ± 1.24 | 6.50 ± 0.42 / 27.51 ± 0.99 | 12.6.1 | 12.6.1 | 12.6.1 |
HuggingFaceTB/SmolLM2-1.7B (few-shot) | 1711 | 49 | 8192 | True | 16,249 ± 3,690 / 3,689 ± 1,226 | 4.05 | 20.50 ± 4.51 / 18.93 ± 3.84 | 0.83 ± 1.65 / 45.84 ± 2.02 | 10.84 ± 2.45 / 28.36 ± 1.48 | 13.1.0 | 13.1.0 | 13.1.0 |
ibm-granite/granite-3.0-3b-a800m-base (few-shot) | 3374 | 49 | 4096 | True | 10,504 ± 3,028 / 1,678 ± 559 | 4.06 | 18.07 ± 3.62 / 18.73 ± 2.54 | -0.72 ± 1.22 / 33.96 ± 0.50 | 12.27 ± 2.81 / 30.66 ± 1.47 | 13.0.0 | 13.0.0 | 13.0.0 |
sentence-transformers/distiluse-base-multilingual-cased-v1 | 135 | 120 | 512 | True | 34,042 ± 8,482 / 5,951 ± 1,950 | 4.06 | 45.47 ± 2.05 / 47.67 ± 2.11 | 1.14 ± 1.81 / 48.47 ± 1.64 | 1.63 ± 0.33 / 21.45 ± 1.39 | 12.6.1 | 12.6.1 | 12.6.1 |
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) | 7242 | 32 | 32768 | False | 5,172 ± 813 / 1,647 ± 518 | 4.06 | 24.98 ± 5.71 / 25.35 ± 4.78 | 1.18 ± 1.09 / 39.01 ± 2.76 | 8.52 ± 2.30 / 21.32 ± 2.25 | 12.5.2 | 12.3.2 | 12.3.2 |
google/gemma-2b-it (few-shot) | 2506 | 256 | 8192 | False | 6,471 ± 1,142 / 1,961 ± 584 | 4.09 | 20.49 ± 2.30 / 18.33 ± 1.40 | -0.01 ± 2.13 / 46.02 ± 2.71 | 10.95 ± 2.39 / 37.64 ± 0.75 | 12.5.2 | 12.1.0 | 12.4.0 |
01-ai/Yi-6B (few-shot) | 6061 | 64 | 4096 | True | 6,435 ± 1,316 / 1,632 ± 549 | 4.11 | 0.00 ± 0.00 / 0.00 ± 0.00 | 2.12 ± 1.40 / 38.45 ± 2.47 | 16.91 ± 2.57 / 40.63 ± 2.83 | 9.3.2 | 10.0.0 | 12.5.1 |
TurkuNLP/bert-base-finnish-cased-v1 | 124 | 50 | 512 | True | 16,701 ± 2,104 / 5,450 ± 1,778 | 4.11 | 34.58 ± 2.44 / 32.10 ± 2.20 | 0.55 ± 1.58 / 46.24 ± 3.27 | 5.07 ± 0.53 / 24.32 ± 2.07 | 0.0.0 | 0.0.0 | 0.0.0 |
stabilityai/stablelm-2-1_6b (few-shot) | 1645 | 100 | 4096 | True | 7,259 ± 2,120 / 1,240 ± 432 | 4.11 | 32.19 ± 2.52 / 32.88 ± 2.18 | 0.37 ± 1.64 / 33.39 ± 0.55 | 6.58 ± 2.15 / 27.03 ± 2.89 | 12.10.8 | 12.10.8 | 12.10.8 |
Maltehb/aelaectra-danish-electra-small-cased | 14 | 32 | 512 | True | 4,593 ± 114 / 3,034 ± 973 | 4.14 | 35.72 ± 8.84 / 37.68 ± 9.61 | 0.55 ± 0.58 / 33.62 ± 0.42 | 4.40 ± 0.52 / 21.85 ± 0.81 | 12.7.0 | 12.7.0 | 12.7.0 |
sarnikowski/convbert-medium-small-da-cased | 24 | 29 | 512 | True | 13,821 ± 2,209 / 3,547 ± 1,184 | 4.15 | 28.16 ± 1.78 / 25.72 ± 1.72 | 2.05 ± 1.54 / 47.80 ± 2.45 | 5.37 ± 0.70 / 24.09 ± 1.52 | 0.0.0 | 0.0.0 | 0.0.0 |
ltg/norbert2 | 125 | 50 | 512 | True | 15,523 ± 2,863 / 3,690 ± 1,195 | 4.20 | 28.74 ± 1.77 / 28.47 ± 1.77 | 3.00 ± 0.94 / 47.57 ± 3.24 | 3.47 ± 0.65 / 19.93 ± 2.77 | 0.0.0 | 0.0.0 | 0.0.0 |
sarnikowski/convbert-small-da-cased | 13 | 29 | 512 | True | 14,273 ± 2,312 / 3,555 ± 1,187 | 4.23 | 25.49 ± 2.22 / 23.07 ± 2.05 | 1.63 ± 1.91 / 45.09 ± 3.87 | 5.28 ± 0.62 / 22.50 ± 0.83 | 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 | 4.24 | 14.15 ± 1.92 / 14.96 ± 2.11 | 0.78 ± 1.70 / 44.74 ± 3.57 | 7.80 ± 1.32 / 23.47 ± 1.64 | 12.5.2 | 12.1.0 | 12.5.0 |
meta-llama/Llama-3.2-1B (few-shot) | 1236 | 128 | 131200 | True | 7,577 ± 1,884 / 1,555 ± 492 | 4.25 | 17.77 ± 6.81 / 16.42 ± 6.19 | -0.35 ± 1.50 / 34.29 ± 1.64 | 8.15 ± 2.21 / 30.75 ± 2.05 | 13.0.0 | 13.0.0 | 13.0.0 |
asafaya/bert-base-arabic | 110 | 32 | 512 | True | 16,347 ± 2,191 / 5,125 ± 1,672 | 4.26 | 22.51 ± 3.32 / 20.42 ± 3.17 | 0.23 ± 1.20 / 43.22 ± 3.41 | 5.05 ± 0.67 / 24.09 ± 1.66 | 0.0.0 | 0.0.0 | 0.0.0 |
Maltehb/aelaectra-danish-electra-small-uncased | 14 | 32 | 128 | True | 5,995 ± 135 / 3,839 ± 1,247 | 4.27 | 30.50 ± 1.95 / 30.08 ± 1.90 | 3.59 ± 1.49 / 46.53 ± 4.34 | 0.06 ± 0.07 / 0.12 ± 0.11 | 0.0.0 | 0.0.0 | 0.0.0 |
state-spaces/mamba-2.8b-hf (few-shot) | 2768 | 50 | 32896 | True | 2,722 ± 495 / 766 ± 250 | 4.29 | 18.38 ± 1.54 / 20.76 ± 1.34 | 0.49 ± 1.54 / 42.54 ± 4.23 | 6.30 ± 2.23 / 23.24 ± 0.99 | 13.0.0 | 13.0.0 | 13.0.0 |
allenai/OLMo-7B-Twin-2T (few-shot) | 6888 | 50 | 2176 | True | 5,484 ± 1,125 / 1,317 ± 425 | 4.31 | 9.04 ± 5.36 / 9.25 ± 4.70 | -0.08 ± 1.02 / 34.02 ± 0.68 | 8.86 ± 2.70 / 27.28 ± 1.45 | 12.5.2 | 12.5.2 | 12.5.2 |
Qwen/Qwen1.5-1.8B (few-shot) | 1837 | 152 | 32768 | True | 5,666 ± 1,328 / 1,256 ± 408 | 4.32 | 12.26 ± 4.13 / 12.77 ± 3.60 | 0.94 ± 1.34 / 40.66 ± 3.73 | 6.31 ± 1.01 / 20.24 ± 2.02 | 12.5.2 | 12.1.0 | 12.1.0 |
NorwAI/NorwAI-Llama2-7B (few-shot) | 7033 | 68 | 4096 | True | 4,438 ± 1,128 / 1,028 ± 346 | 4.35 | 9.35 ± 0.70 / 9.74 ± 0.73 | 1.14 ± 0.97 / 35.56 ± 2.43 | 7.51 ± 3.09 / 30.04 ± 2.02 | 12.10.4 | 12.10.4 | 12.10.4 |
danish-foundation-models/encoder-small-v1 | 22 | 96 | 128 | True | 6,002 ± 129 / 3,832 ± 1,242 | 4.35 | 28.99 ± 12.22 / 28.98 ± 12.46 | -0.17 ± 1.37 / 38.53 ± 3.43 | 0.42 ± 0.33 / 1.20 ± 1.50 | 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 | 4.42 | 13.43 ± 1.36 / 13.81 ± 1.45 | 1.14 ± 1.52 / 36.93 ± 3.69 | 3.71 ± 1.14 / 16.21 ± 2.86 | 13.1.0 | 13.1.0 | 13.1.0 |
Maltehb/danish-bert-botxo | 110 | 32 | 512 | True | 16,091 ± 2,427 / 4,575 ± 1,485 | 4.42 | 12.64 ± 2.49 / 11.10 ± 2.21 | 0.06 ± 1.76 / 47.57 ± 1.77 | 4.77 ± 0.39 / 27.98 ± 1.03 | 0.0.0 | 0.0.0 | 0.0.0 |
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) | 362 | 49 | 8192 | True | 21,777 ± 6,115 / 3,617 ± 1,211 | 4.45 | 13.60 ± 1.50 / 13.99 ± 1.39 | 0.28 ± 1.41 / 37.58 ± 4.34 | 4.09 ± 1.03 / 16.34 ± 2.86 | 13.1.0 | 13.1.0 | 13.1.0 |
Qwen/Qwen1.5-0.5B (few-shot) | 620 | 152 | 32768 | True | 11,371 ± 2,924 / 2,122 ± 692 | 4.45 | 16.20 ± 1.52 / 16.96 ± 1.71 | -0.57 ± 1.20 / 41.25 ± 3.51 | 3.31 ± 0.82 / 16.86 ± 2.98 | 12.5.2 | 12.1.0 | 12.1.0 |
RJuro/kanelsnegl-v0.2 (few-shot) | 7242 | 32 | 512 | True | 1,373 ± 120 / 709 ± 172 | 4.46 | 23.67 ± 5.16 / 23.19 ± 4.37 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 14.61 ± 2.02 | 12.7.0 | 12.7.0 | 12.7.0 |
allenai/OLMo-7B (few-shot) | 6888 | 50 | 2176 | True | 5,403 ± 1,133 / 1,294 ± 423 | 4.48 | 8.84 ± 2.72 / 8.59 ± 2.81 | -0.38 ± 1.52 / 34.73 ± 1.40 | 5.08 ± 1.06 / 18.85 ± 2.62 | 12.5.2 | 12.5.2 | 12.5.2 |
Qwen/Qwen1.5-0.5B-Chat (few-shot) | 620 | 152 | 32768 | False | 11,740 ± 3,000 / 2,209 ± 721 | 4.49 | 9.50 ± 3.17 / 9.41 ± 3.40 | 1.76 ± 1.62 / 38.51 ± 3.72 | 3.14 ± 0.71 / 17.84 ± 2.26 | 12.5.2 | 12.1.0 | 12.5.0 |
alexanderfalk/danbert-small-cased | 83 | 52 | 512 | True | 30,013 ± 4,309 / 8,840 ± 2,859 | 4.51 | 12.39 ± 2.20 / 11.68 ± 2.17 | 1.63 ± 1.66 / 43.64 ± 4.69 | 1.70 ± 0.45 / 16.29 ± 1.59 | 0.0.0 | 0.0.0 | 0.0.0 |
HuggingFaceTB/SmolLM2-135M (few-shot) | 135 | 49 | 8192 | True | 26,346 ± 7,812 / 4,082 ± 1,372 | 4.52 | 14.74 ± 2.42 / 16.01 ± 2.04 | -0.25 ± 0.60 / 34.69 ± 3.02 | 1.35 ± 0.73 / 10.92 ± 2.52 | 13.1.0 | 13.1.0 | 13.1.0 |
fresh-xlm-roberta-base | 277 | 250 | 512 | True | 2,214 ± 94 / 1,494 ± 229 | 4.52 | 17.34 ± 1.13 / 16.43 ± 1.26 | -0.06 ± 0.99 / 36.73 ± 3.00 | 1.02 ± 0.30 / 21.61 ± 1.10 | 0.0.0 | 0.0.0 | 0.0.0 |
allenai/OLMo-1B (few-shot) | 1177 | 50 | 2176 | True | 8,536 ± 1,926 / 1,940 ± 619 | 4.58 | 13.60 ± 2.38 / 14.36 ± 2.36 | -1.04 ± 0.90 / 34.46 ± 1.41 | 1.51 ± 0.68 / 13.16 ± 3.12 | 12.5.2 | 12.1.0 | 12.1.0 |
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) | 135 | 49 | 8192 | True | 25,602 ± 7,583 / 3,953 ± 1,325 | 4.60 | 13.70 ± 2.05 / 15.01 ± 2.07 | -0.83 ± 0.71 / 32.99 ± 0.27 | 0.94 ± 0.54 / 10.22 ± 2.52 | 13.1.0 | 13.1.0 | 13.1.0 |
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) | unknown | 32 | 4096 | False | 10,890 ± 2,686 / 2,186 ± 750 | 4.60 | 9.48 ± 1.48 / 10.10 ± 1.44 | 0.07 ± 1.06 / 43.54 ± 3.63 | 1.04 ± 0.96 / 7.35 ± 3.52 | 9.3.1 | 9.3.1 | 12.5.2 |
fresh-electra-small | 13 | 31 | 512 | True | 7,840 ± 1,538 / 3,024 ± 438 | 4.65 | 9.96 ± 1.11 / 8.96 ± 1.05 | -0.10 ± 1.46 / 35.81 ± 3.45 | 0.12 ± 0.10 / 4.48 ± 1.39 | 0.0.0 | 0.0.0 | 0.0.0 |
NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) | 7537 | 68 | 4096 | True | 3,024 ± 496 / 909 ± 301 | 4.69 | 3.69 ± 1.28 / 3.66 ± 1.30 | 1.24 ± 1.37 / 42.67 ± 4.99 | 0.29 ± 0.19 / 5.14 ± 0.75 | 12.10.4 | 12.10.4 | 12.10.4 |
ltg/norbert | 112 | 33 | 512 | True | 16,280 ± 2,296 / 4,838 ± 1,583 | 4.74 | 0.00 ± 0.00 / 0.00 ± 0.00 | -0.03 ± 1.29 / 46.72 ± 2.28 | 1.68 ± 0.72 / 13.50 ± 4.66 | 0.0.0 | 0.0.0 | 0.0.0 |
NorGLM/NorGPT-369M (few-shot) | unknown | 64 | 1024 | True | 19,896 ± 5,099 / 3,848 ± 1,251 | 4.78 | 1.68 ± 1.40 / 1.54 ± 1.28 | -1.38 ± 1.13 / 34.41 ± 2.16 | 0.08 ± 0.09 / 10.05 ± 2.08 | 12.5.2 | 12.5.2 | 12.5.2 |
RJuro/kanelsnegl-v0.1 (few-shot) | 7242 | 32 | 512 | True | 5,847 ± 1,029 / 1,640 ± 525 | 4.80 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 11.90 ± 2.74 | 9.3.1 | 9.3.1 | 9.3.1 |
Sigurdur/icebreaker (few-shot) | 110 | 32 | 1024 | False | 48,619 ± 7,681 / 13,831 ± 4,404 | 4.80 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 3.90 ± 0.28 | 12.5.2 | 12.5.2 | 12.5.2 |
Sigurdur/icechat (few-shot) | 110 | 32 | 1024 | False | 49,558 ± 7,930 / 13,921 ± 4,425 | 4.80 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 0.64 ± 0.34 | 12.5.2 | 12.5.2 | 12.5.2 |
Sigurdur/jonas-hallgrimsson-gpt2 (few-shot) | 125 | 51 | 512 | False | 32,644 ± 3,887 / 11,289 ± 3,585 | 4.80 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 0.00 ± 0.00 | 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 | 4.80 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 4.86 ± 0.20 | 12.5.2 | 12.5.2 | 12.5.2 |
ai-forever/mGPT (few-shot) | unknown | 100 | 1024 | True | 11,734 ± 3,124 / 2,174 ± 720 | 4.80 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 0.05 ± 0.03 | 9.3.1 | 11.0.0 | 12.5.1 |
ssmits/Falcon2-5.5B-multilingual (few-shot) | 5465 | 65 | 8192 | True | 7,692 ± 1,423 / 1,960 ± 644 | 4.80 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 33.69 ± 0.28 | 0.00 ± 0.00 / 0.02 ± 0.01 | 13.0.0 | 13.0.0 | 13.0.0 |