English NLU 🇬🇧

Last updated: 30/05/2024 19:19:45 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank CoNLL-en SST5 ScaLA-en SQuAD CoNLL-en version SST5 version ScaLA-en version SQuAD version
microsoft/deberta-v3-large 434 128 512 True 2,521 ± 639 / 440 ± 143 1.09 91.88 ± 0.70 / 91.67 ± 0.56 64.04 ± 1.59 / 67.00 ± 1.56 75.10 ± 1.18 / 87.34 ± 0.67 74.47 ± 1.03 / 85.54 ± 0.79 0.0.0 0.0.0 0.0.0 0.0.0
microsoft/deberta-v3-base 184 128 512 True 5,367 ± 1,408 / 892 ± 292 1.29 91.57 ± 0.52 / 91.20 ± 0.41 61.66 ± 0.85 / 60.80 ± 2.63 68.74 ± 1.72 / 83.85 ± 1.05 68.69 ± 0.56 / 80.29 ± 0.36 0.0.0 0.0.0 0.0.0 0.0.0
google/electra-base-discriminator 109 31 512 True 9,977 ± 2,342 / 1,855 ± 603 1.39 89.83 ± 0.47 / 88.64 ± 0.50 63.55 ± 1.20 / 60.22 ± 2.49 67.87 ± 1.58 / 83.57 ± 0.86 58.27 ± 1.71 / 69.68 ± 1.34 0.0.0 0.0.0 0.0.0 0.0.0
gpt-4-0613 (few-shot, val) unknown 100 8191 True 597 ± 197 / 93 ± 33 1.44 78.06 ± 2.73 / 70.76 ± 3.80 69.06 ± 2.20 / 76.04 ± 1.60 55.76 ± 3.84 / 76.34 ± 1.44 67.35 ± 1.98 / 85.76 ± 0.77 12.2.0 12.1.0 12.2.0 12.2.0
FacebookAI/roberta-large 354 50 512 True 4,542 ± 1,120 / 845 ± 267 1.46 91.53 ± 0.85 / 91.21 ± 0.76 62.92 ± 1.84 / 62.60 ± 3.18 48.77 ± 15.71 / 71.46 ± 10.95 71.23 ± 0.84 / 81.98 ± 0.65 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 1.49 91.69 ± 0.67 / 91.29 ± 0.54 64.37 ± 1.28 / 65.16 ± 2.10 53.58 ± 10.20 / 74.70 ± 7.53 60.47 ± 1.61 / 73.00 ± 1.37 12.6.1 12.6.1 12.6.1 12.6.1
FacebookAI/roberta-base 124 50 512 True 13,354 ± 3,334 / 2,451 ± 777 1.51 91.00 ± 0.40 / 90.70 ± 0.31 59.54 ± 1.98 / 59.76 ± 3.06 57.29 ± 2.88 / 77.93 ± 1.57 62.75 ± 0.77 / 73.75 ± 0.74 0.0.0 0.0.0 0.0.0 0.0.0
microsoft/mdeberta-v3-base 278 251 512 True 20,637 ± 3,925 / 4,497 ± 1,502 1.53 91.83 ± 0.50 / 91.40 ± 0.43 53.75 ± 1.47 / 56.40 ± 2.82 62.11 ± 1.53 / 80.67 ± 0.77 62.10 ± 1.03 / 73.26 ± 0.85 0.0.0 0.0.0 0.0.0 0.0.0
gpt-4-1106-preview (few-shot, val) unknown 100 128126 True 576 ± 221 / 81 ± 28 1.54 81.79 ± 1.39 / 65.51 ± 4.16 67.46 ± 2.21 / 73.89 ± 1.55 51.21 ± 4.96 / 75.11 ± 2.42 66.60 ± 1.45 / 84.48 ± 0.76 12.10.0 12.10.1 12.10.2 12.10.0
google-bert/bert-large-cased 333 29 512 True 5,051 ± 981 / 1,147 ± 372 1.55 89.84 ± 0.48 / 89.25 ± 0.46 58.19 ± 1.32 / 58.14 ± 1.69 63.62 ± 1.90 / 80.92 ± 1.03 55.17 ± 0.92 / 67.33 ± 0.89 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-70B (few-shot, val) 70554 128 8192 True 312 ± 55 / 177 ± 51 1.56 79.06 ± 2.34 / 74.41 ± 2.24 65.53 ± 2.61 / 68.71 ± 2.08 46.28 ± 4.01 / 72.38 ± 2.33 75.20 ± 1.68 / 86.90 ± 1.14 12.7.0 12.7.0 12.7.0 12.7.0
VAGOsolutions/SauerkrautLM-7b-LaserChat (few-shot) 7242 32 8192 False 2,387 ± 456 / 717 ± 226 1.57 71.91 ± 1.16 / 62.61 ± 2.72 69.68 ± 0.91 / 69.92 ± 0.73 46.89 ± 2.30 / 72.87 ± 1.01 76.21 ± 1.03 / 89.02 ± 0.61 12.6.1 12.6.1 12.6.1 12.6.1
google/rembert 575 250 512 True 11,736 ± 2,822 / 2,102 ± 677 1.57 90.17 ± 0.50 / 89.85 ± 0.49 51.74 ± 10.59 / 58.97 ± 6.34 55.55 ± 1.66 / 77.55 ± 0.89 69.02 ± 1.23 / 81.57 ± 1.05 12.6.1 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/roberta-large-1160k 354 50 512 True 14,014 ± 2,384 / 3,625 ± 1,146 1.58 89.53 ± 0.40 / 89.37 ± 0.30 53.90 ± 1.96 / 54.63 ± 2.32 55.31 ± 2.36 / 76.38 ± 1.93 69.89 ± 0.99 / 80.82 ± 0.97 10.0.1 10.0.1 10.0.1 10.0.1
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 1.62 71.81 ± 1.02 / 59.93 ± 2.52 69.98 ± 1.00 / 69.79 ± 0.76 45.34 ± 2.51 / 72.10 ± 1.10 72.49 ± 1.57 / 87.51 ± 0.74 12.5.2 12.5.2 12.5.2 12.5.2
AI-Sweden-Models/roberta-large-1350k 354 50 512 True 5,744 ± 969 / 1,539 ± 492 1.64 89.48 ± 0.86 / 89.32 ± 0.69 51.88 ± 6.25 / 56.03 ± 4.61 50.69 ± 4.90 / 73.54 ± 2.97 69.46 ± 1.02 / 80.82 ± 0.75 10.0.1 10.0.1 10.0.1 10.0.1
google-bert/bert-large-uncased 334 31 512 True 4,711 ± 1,074 / 933 ± 302 1.66 88.80 ± 0.53 / 87.48 ± 0.71 57.94 ± 1.17 / 58.50 ± 2.31 59.27 ± 2.55 / 79.17 ± 1.35 52.38 ± 0.93 / 63.79 ± 1.19 0.0.0 0.0.0 0.0.0 0.0.0
upstage/SOLAR-10.7B-v1.0 (few-shot) 10732 32 4096 True 3,780 ± 906 / 799 ± 261 1.67 69.50 ± 1.14 / 63.41 ± 0.77 70.01 ± 0.93 / 59.77 ± 0.59 41.35 ± 2.01 / 70.11 ± 0.82 76.79 ± 0.43 / 89.35 ± 0.19 12.5.3 12.5.3 12.5.3 12.5.3
VAGOsolutions/FC-SauerkrautLM-7b-beta (few-shot) unknown 32 8192 False 2,160 ± 514 / 668 ± 256 1.71 70.15 ± 0.85 / 60.29 ± 2.28 69.36 ± 0.87 / 67.37 ± 0.89 37.09 ± 2.04 / 68.05 ± 1.30 77.39 ± 1.14 / 89.74 ± 0.41 12.6.1 12.6.1 12.6.1 12.6.1
intfloat/multilingual-e5-base 278 250 512 True 14,965 ± 2,890 / 3,322 ± 1,074 1.72 89.65 ± 0.52 / 89.71 ± 0.48 61.46 ± 0.89 / 60.48 ± 2.52 51.32 ± 1.98 / 74.21 ± 1.18 50.78 ± 1.14 / 63.05 ± 0.89 12.6.1 12.6.1 12.6.1 12.6.1
meta-llama/Llama-2-70b-hf (few-shot, val) 68977 32 4221 True 1,892 ± 650 / 318 ± 105 1.72 72.38 ± 1.28 / 66.44 ± 1.74 60.98 ± 2.19 / 68.64 ± 2.17 43.12 ± 5.21 / 70.12 ± 2.87 74.50 ± 3.41 / 86.22 ± 1.70 12.7.0 12.7.0 12.7.0 12.7.0
distilbert/distilroberta-base 82 50 512 True 17,448 ± 4,387 / 3,147 ± 998 1.76 90.04 ± 0.53 / 89.35 ± 0.53 56.08 ± 1.30 / 57.56 ± 1.96 54.90 ± 2.47 / 76.59 ± 1.47 49.36 ± 1.22 / 59.73 ± 1.02 0.0.0 0.0.0 0.0.0 0.0.0
gpt-3.5-turbo-0613 (few-shot, val) unknown 100 4095 True 921 ± 293 / 113 ± 37 1.78 71.48 ± 2.47 / 69.71 ± 1.59 66.41 ± 2.66 / 68.72 ± 1.87 41.43 ± 2.57 / 70.34 ± 1.35 67.90 ± 1.61 / 85.57 ± 0.84 0.0.0 0.0.0 0.0.0 0.0.0
setu4993/LaBSE 471 501 512 True 25,418 ± 6,435 / 4,536 ± 1,452 1.78 90.33 ± 0.62 / 90.31 ± 0.46 52.93 ± 1.41 / 58.98 ± 1.52 50.70 ± 2.70 / 74.17 ± 1.51 53.77 ± 0.57 / 65.07 ± 0.61 12.6.1 12.6.1 12.6.1 12.6.1
gpt-4o-2024-05-13 (few-shot, val) unknown 200 127999 True 916 ± 329 / 114 ± 38 1.79 83.48 ± 1.52 / 75.51 ± 2.26 61.71 ± 2.15 / 70.46 ± 1.41 32.79 ± 5.10 / 53.79 ± 4.33 65.41 ± 1.96 / 84.78 ± 0.68 12.10.0 12.10.1 12.10.0 12.10.0
google-bert/bert-base-uncased 109 31 512 True 10,296 ± 2,425 / 1,918 ± 624 1.82 87.62 ± 0.60 / 86.68 ± 0.57 54.01 ± 1.49 / 54.63 ± 2.14 56.97 ± 2.20 / 77.43 ± 1.23 42.37 ± 2.12 / 53.78 ± 2.04 0.0.0 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 1.87 71.83 ± 1.48 / 65.37 ± 1.62 62.99 ± 3.04 / 69.81 ± 1.86 39.97 ± 3.89 / 69.38 ± 1.87 64.42 ± 3.17 / 80.97 ± 1.54 12.7.0 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 1.87 89.81 ± 0.60 / 89.25 ± 0.72 41.97 ± 17.48 / 50.33 ± 9.16 35.55 ± 18.61 / 63.79 ± 12.17 68.88 ± 1.40 / 79.18 ± 1.17 0.0.0 0.0.0 0.0.0 0.0.0
google/electra-large-discriminator 334 31 512 True 4,700 ± 1,068 / 930 ± 301 1.87 67.87 ± 20.05 / 67.30 ± 19.58 48.08 ± 14.91 / 53.81 ± 10.11 55.46 ± 13.66 / 75.80 ± 8.43 70.66 ± 0.80 / 81.84 ± 0.57 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) 70554 128 8317 True 1,673 ± 583 / 275 ± 85 1.87 81.30 ± 1.35 / 76.64 ± 1.77 66.18 ± 2.04 / 72.85 ± 1.27 38.10 ± 2.32 / 68.58 ± 1.40 53.31 ± 3.61 / 77.76 ± 1.59 12.7.0 12.7.0 12.7.0 12.7.0
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 1.91 63.40 ± 2.72 / 56.92 ± 2.17 68.17 ± 1.33 / 70.74 ± 0.93 30.92 ± 4.81 / 63.79 ± 4.42 73.45 ± 1.83 / 84.54 ± 1.42 9.1.2 9.1.2 9.1.2 12.5.1
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 1.95 61.02 ± 2.70 / 55.57 ± 2.50 67.10 ± 0.81 / 70.66 ± 0.76 29.82 ± 5.18 / 62.86 ± 4.72 73.50 ± 1.67 / 84.26 ± 1.30 12.5.2 12.5.2 12.5.2 12.5.2
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4221 True 1,979 ± 621 / 320 ± 105 1.95 72.80 ± 1.65 / 64.88 ± 3.12 63.76 ± 2.53 / 71.14 ± 1.90 28.37 ± 4.76 / 62.85 ± 3.04 64.70 ± 2.69 / 81.80 ± 1.41 12.7.0 12.7.0 12.7.0 12.7.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 1.95 75.02 ± 1.31 / 69.47 ± 1.18 67.64 ± 1.12 / 71.04 ± 1.17 32.29 ± 3.05 / 64.85 ± 2.07 54.84 ± 2.22 / 79.10 ± 1.10 12.6.1 12.6.1 12.6.1 12.6.1
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 4,687 ± 1,121 / 967 ± 313 1.96 66.31 ± 2.09 / 58.68 ± 1.95 64.30 ± 0.65 / 69.26 ± 0.50 28.18 ± 3.96 / 58.97 ± 4.03 70.38 ± 3.51 / 82.95 ± 2.38 12.6.1 12.6.1 12.6.1 12.6.1
robinsmits/Qwen1.5-7B-Dutch-Chat-Sft-Bf16 (few-shot) 7719 152 32768 False 2,413 ± 463 / 700 ± 220 1.96 67.52 ± 1.19 / 59.09 ± 2.64 63.10 ± 1.92 / 70.11 ± 0.80 37.75 ± 2.52 / 67.53 ± 1.75 64.88 ± 1.60 / 82.23 ± 0.72 12.6.1 12.6.1 12.6.1 12.6.1
VAGOsolutions/SauerkrautLM-7b-HerO (few-shot, val) 7242 32 32768 False 2,477 ± 467 / 744 ± 232 1.97 69.26 ± 2.17 / 57.48 ± 2.92 68.63 ± 2.65 / 73.31 ± 1.74 29.87 ± 3.02 / 63.64 ± 1.60 60.92 ± 2.44 / 80.40 ± 1.26 12.6.1 12.6.1 12.6.1 12.6.1
occiglot/occiglot-7b-de-en-instruct (few-shot) 7242 32 32768 False 1,584 ± 217 / 635 ± 178 2.01 60.90 ± 3.17 / 53.69 ± 2.67 66.54 ± 1.42 / 69.26 ± 0.83 23.60 ± 3.72 / 57.65 ± 4.08 75.14 ± 1.51 / 87.25 ± 0.61 12.5.2 12.3.1 12.3.1 12.4.0
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 2.06 59.10 ± 1.87 / 51.31 ± 1.87 68.41 ± 1.17 / 70.85 ± 0.74 25.43 ± 4.22 / 60.79 ± 3.45 71.89 ± 2.20 / 82.99 ± 1.78 12.5.3 12.5.3 12.5.3 12.5.3
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4096 False 3,254 ± 1,068 / 484 ± 173 2.07 64.93 ± 2.24 / 57.95 ± 1.24 64.14 ± 1.61 / 68.00 ± 1.67 28.08 ± 3.86 / 62.71 ± 2.98 62.09 ± 1.68 / 79.57 ± 0.96 9.3.1 9.3.1 9.3.1 9.3.1
01-ai/Yi-6B (few-shot) 6061 64 4096 True 6,435 ± 1,316 / 1,632 ± 549 2.08 52.70 ± 2.29 / 48.83 ± 2.24 68.66 ± 0.92 / 58.34 ± 0.37 25.29 ± 4.29 / 54.31 ± 5.45 75.89 ± 1.84 / 85.86 ± 1.03 9.3.2 10.0.0 10.0.0 12.5.1
google/gemma-7b-it (few-shot) 8538 256 8317 False 1,792 ± 249 / 668 ± 203 2.08 66.70 ± 0.99 / 61.08 ± 1.16 55.62 ± 2.54 / 64.98 ± 2.03 31.36 ± 2.63 / 65.21 ± 1.16 72.58 ± 0.68 / 84.67 ± 0.91 12.10.0 12.10.0 12.10.0 12.10.0
occiglot/occiglot-7b-de-en (few-shot) 7242 32 32768 True 1,992 ± 319 / 706 ± 211 2.08 56.07 ± 4.01 / 51.66 ± 3.99 65.29 ± 1.43 / 69.38 ± 0.73 25.78 ± 2.57 / 61.50 ± 2.24 73.13 ± 4.05 / 83.85 ± 2.69 12.3.2 12.3.1 12.3.1 12.3.1
google-bert/bert-base-multilingual-cased 177 120 512 True 14,083 ± 3,264 / 2,738 ± 889 2.09 89.32 ± 0.47 / 88.95 ± 0.35 41.89 ± 1.50 / 47.23 ± 0.75 38.34 ± 12.84 / 67.51 ± 6.66 55.19 ± 1.66 / 66.42 ± 1.46 0.0.0 0.0.0 0.0.0 0.0.0
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.09 70.62 ± 0.90 / 58.92 ± 2.15 67.78 ± 1.03 / 72.29 ± 0.47 30.99 ± 2.94 / 62.20 ± 2.56 49.56 ± 2.85 / 76.72 ± 1.15 12.6.1 12.6.1 12.6.1 12.6.1
google/gemma-7b (few-shot) 8538 256 8192 True 1,378 ± 260 / 387 ± 119 2.11 47.20 ± 3.34 / 41.96 ± 3.12 63.88 ± 2.24 / 66.49 ± 0.81 35.75 ± 2.65 / 66.41 ± 2.26 69.40 ± 4.29 / 82.46 ± 2.86 12.9.1 12.9.1 12.9.1 12.9.1
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.11 69.16 ± 2.80 / 57.28 ± 2.82 63.85 ± 2.16 / 72.40 ± 1.71 28.40 ± 3.60 / 62.70 ± 1.51 52.69 ± 2.21 / 76.37 ± 1.27 9.3.2 9.3.2 9.3.2 12.5.2
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.12 57.58 ± 2.30 / 47.94 ± 2.89 61.44 ± 2.02 / 69.47 ± 0.98 34.92 ± 2.40 / 66.67 ± 1.41 65.38 ± 1.76 / 81.90 ± 0.57 9.3.1 9.3.1 9.3.1 12.4.0
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) 7242 32 8192 True 6,113 ± 1,044 / 1,790 ± 579 2.13 56.38 ± 2.95 / 50.80 ± 2.82 66.04 ± 1.68 / 65.21 ± 1.48 22.15 ± 3.57 / 57.71 ± 4.24 71.32 ± 1.41 / 83.70 ± 0.93 12.5.2 12.5.0 12.5.0 12.5.0
ZurichNLP/unsup-simcse-xlm-roberta-base 277 250 512 True 34,520 ± 7,443 / 6,730 ± 2,224 2.15 85.88 ± 0.99 / 86.21 ± 0.87 51.46 ± 1.15 / 51.20 ± 0.50 35.83 ± 11.08 / 65.86 ± 4.95 43.26 ± 1.61 / 55.52 ± 1.60 12.6.1 12.6.1 12.6.1 12.6.1
distilbert/distilbert-base-cased 65 29 512 True 19,667 ± 3,904 / 4,323 ± 1,422 2.15 84.75 ± 0.61 / 84.65 ± 0.45 50.94 ± 1.56 / 53.60 ± 2.13 53.47 ± 1.86 / 75.70 ± 1.27 24.93 ± 1.75 / 35.60 ± 2.05 0.0.0 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 2.16 58.56 ± 1.99 / 54.14 ± 2.01 59.62 ± 1.29 / 68.55 ± 0.56 28.55 ± 3.97 / 60.49 ± 4.25 70.04 ± 0.89 / 82.09 ± 0.84 12.5.2 10.0.1 12.1.0 12.5.2
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 2.16 55.45 ± 1.61 / 49.72 ± 1.27 60.55 ± 1.54 / 68.53 ± 0.71 28.60 ± 3.36 / 60.31 ± 4.06 70.49 ± 0.74 / 82.68 ± 0.52 12.5.2 10.0.1 12.1.0 12.1.0
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 2.16 56.90 ± 3.08 / 51.16 ± 2.56 62.10 ± 1.65 / 68.81 ± 0.76 20.17 ± 3.68 / 54.76 ± 4.24 75.29 ± 1.37 / 86.48 ± 0.72 12.5.2 12.2.0 12.3.1 12.4.0
Twitter/twhin-bert-large 562 250 512 True 9,707 ± 1,664 / 2,549 ± 831 2.17 89.50 ± 0.47 / 89.39 ± 0.41 45.98 ± 2.97 / 49.81 ± 2.03 30.58 ± 13.07 / 61.93 ± 7.87 48.44 ± 1.37 / 59.47 ± 1.12 12.6.1 12.6.1 12.6.1 12.6.1
cstr/Spaetzle-v8-7b (few-shot, val) 7242 32 32768 False 5,980 ± 1,031 / 1,714 ± 552 2.17 69.40 ± 1.47 / 54.63 ± 3.27 65.39 ± 2.32 / 73.11 ± 1.62 26.69 ± 3.88 / 62.82 ± 2.19 49.74 ± 2.61 / 75.27 ± 0.99 12.5.2 12.5.2 12.5.2 12.5.2
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.21 62.11 ± 1.61 / 52.36 ± 2.00 59.91 ± 2.10 / 68.92 ± 1.21 30.66 ± 3.60 / 64.32 ± 2.03 58.27 ± 2.09 / 77.85 ± 0.70 9.3.1 9.2.0 9.3.1 12.4.0
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.21 69.19 ± 2.03 / 55.64 ± 3.53 63.77 ± 2.55 / 71.13 ± 1.83 28.43 ± 3.97 / 62.28 ± 1.86 44.39 ± 2.68 / 71.79 ± 1.25 12.5.2 12.5.2 12.5.2 12.5.2
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 2.23 62.53 ± 1.35 / 53.42 ± 2.04 62.23 ± 1.29 / 68.09 ± 1.34 22.71 ± 1.81 / 60.79 ± 1.08 64.45 ± 1.39 / 80.79 ± 0.79 9.3.1 9.3.1 9.3.1 12.4.0
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 2.23 55.27 ± 2.79 / 50.25 ± 2.12 65.16 ± 1.21 / 66.86 ± 1.32 20.43 ± 3.69 / 55.98 ± 4.88 69.82 ± 2.49 / 81.43 ± 1.73 9.2.0 9.2.0 9.2.0 12.5.1
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 2.24 64.09 ± 0.96 / 49.92 ± 2.47 46.77 ± 4.36 / 60.99 ± 2.15 31.62 ± 2.25 / 63.73 ± 1.79 71.25 ± 0.83 / 85.72 ± 0.57 12.9.1 12.9.1 12.9.1 12.9.1
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 2.27 55.37 ± 2.94 / 51.08 ± 2.87 63.32 ± 1.29 / 68.50 ± 0.53 18.92 ± 2.39 / 57.96 ± 1.89 72.38 ± 2.57 / 83.46 ± 1.49 12.5.2 12.1.0 12.1.0 12.1.0
microsoft/phi-2 (few-shot) 2780 51 2048 True 3,472 ± 885 / 728 ± 239 2.38 49.16 ± 3.09 / 43.10 ± 2.58 62.41 ± 1.51 / 67.24 ± 1.18 12.31 ± 2.96 / 48.73 ± 5.08 75.79 ± 1.88 / 86.40 ± 1.10 12.5.2 12.2.0 12.0.0 12.0.0
sentence-transformers/paraphrase-xlm-r-multilingual-v1 278 250 512 True 20,154 ± 4,438 / 3,890 ± 1,256 2.38 84.05 ± 0.61 / 84.48 ± 0.51 54.92 ± 1.28 / 52.65 ± 0.58 45.85 ± 1.41 / 71.78 ± 0.82 4.13 ± 0.19 / 10.53 ± 0.24 12.6.1 12.6.1 12.6.1 12.6.1
sentence-transformers/stsb-xlm-r-multilingual 278 250 512 True 15,040 ± 2,953 / 3,417 ± 1,100 2.38 82.39 ± 0.62 / 83.07 ± 0.48 57.35 ± 1.00 / 54.82 ± 0.65 47.29 ± 2.10 / 71.85 ± 1.30 4.29 ± 0.33 / 10.53 ± 0.29 12.6.1 12.6.1 12.6.1 12.6.1
Rijgersberg/GEITje-7B (few-shot) 7242 32 32768 True 5,887 ± 1,087 / 1,600 ± 522 2.39 53.39 ± 2.97 / 47.76 ± 2.67 65.21 ± 1.35 / 65.73 ± 1.61 12.63 ± 2.60 / 50.10 ± 3.87 65.74 ± 2.31 / 77.95 ± 1.84 9.3.1 9.3.1 9.3.1 9.3.1
Twitter/twhin-bert-base 279 250 512 True 11,514 ± 2,041 / 2,862 ± 918 2.39 87.77 ± 0.51 / 87.83 ± 0.47 41.09 ± 4.38 / 48.17 ± 3.16 32.26 ± 10.79 / 61.20 ± 5.53 35.15 ± 1.89 / 44.98 ± 1.93 12.6.1 12.6.1 12.6.1 12.6.1
cardiffnlp/twitter-xlm-roberta-base 277 250 512 True 34,475 ± 7,465 / 6,712 ± 2,223 2.42 87.09 ± 0.61 / 87.25 ± 0.49 55.40 ± 0.56 / 52.86 ± 0.29 39.78 ± 3.59 / 67.21 ± 2.02 6.20 ± 4.26 / 13.47 ± 5.29 12.6.1 12.6.1 12.6.1 12.6.1
distilbert/distilbert-base-multilingual-cased 135 120 512 True 26,355 ± 5,946 / 5,266 ± 1,714 2.46 87.70 ± 0.68 / 87.67 ± 0.59 36.48 ± 3.00 / 45.07 ± 1.32 40.79 ± 2.42 / 68.71 ± 2.04 29.00 ± 0.89 / 40.37 ± 0.77 0.0.0 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 2.52 39.21 ± 1.52 / 34.08 ± 1.88 65.58 ± 1.59 / 57.86 ± 1.13 7.82 ± 1.43 / 51.19 ± 1.75 72.25 ± 2.19 / 83.08 ± 1.30 9.3.1 9.3.1 9.3.1 9.3.1
Geotrend/distilbert-base-25lang-cased 109 85 512 True 26,099 ± 5,881 / 5,178 ± 1,665 2.52 87.08 ± 0.62 / 87.08 ± 0.57 36.77 ± 1.52 / 45.15 ± 0.60 37.10 ± 1.79 / 67.20 ± 1.15 26.99 ± 0.77 / 37.98 ± 0.63 12.6.1 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 2.54 45.86 ± 3.18 / 40.23 ± 2.41 62.08 ± 3.29 / 55.11 ± 1.68 6.62 ± 2.43 / 48.79 ± 3.77 65.29 ± 1.81 / 77.71 ± 0.98 9.3.1 9.3.1 9.3.1 9.3.1
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 2.59 37.22 ± 3.24 / 34.07 ± 3.11 64.34 ± 1.18 / 62.90 ± 1.36 15.30 ± 1.17 / 55.67 ± 1.16 64.41 ± 1.29 / 75.79 ± 0.97 12.5.2 10.0.1 12.1.0 12.1.0
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 2.76 40.89 ± 2.63 / 37.44 ± 2.39 55.33 ± 1.77 / 64.53 ± 0.70 11.23 ± 1.81 / 52.85 ± 2.65 60.69 ± 1.44 / 74.24 ± 0.82 12.5.2 11.0.0 12.1.0 12.5.0
allenai/OLMo-7B (few-shot) 6888 50 2176 True 5,403 ± 1,133 / 1,294 ± 423 2.81 38.23 ± 3.10 / 36.38 ± 2.60 60.70 ± 1.80 / 66.82 ± 1.12 -0.19 ± 2.28 / 38.77 ± 3.32 61.93 ± 1.98 / 73.71 ± 1.57 12.5.2 12.5.2 12.5.2 12.5.2
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 2.84 19.65 ± 5.96 / 18.64 ± 5.49 62.14 ± 1.16 / 67.81 ± 0.65 8.30 ± 1.63 / 45.01 ± 3.82 66.30 ± 1.42 / 77.75 ± 0.63 12.5.2 12.1.0 12.1.0 12.1.0
VAGOsolutions/SauerkrautLM-Gemma-2b (few-shot) 2506 256 8192 False 3,607 ± 565 / 1,212 ± 349 2.86 23.28 ± 6.45 / 21.81 ± 5.61 61.91 ± 2.08 / 67.80 ± 1.12 6.92 ± 2.36 / 44.29 ± 3.87 64.68 ± 1.06 / 76.60 ± 0.51 12.6.1 12.6.1 12.6.1 12.6.1
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2176 True 5,484 ± 1,125 / 1,317 ± 425 2.90 25.36 ± 8.05 / 24.05 ± 7.34 56.91 ± 2.41 / 66.15 ± 1.54 7.10 ± 2.89 / 49.36 ± 4.03 58.60 ± 5.37 / 70.37 ± 4.71 12.5.2 12.5.2 12.5.2 12.5.2
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 2.91 40.05 ± 2.56 / 33.77 ± 1.94 48.83 ± 1.00 / 60.88 ± 0.70 5.83 ± 1.52 / 50.74 ± 1.73 63.77 ± 1.40 / 76.59 ± 0.77 12.5.2 12.1.0 12.1.0 12.4.0
microsoft/xlm-align-base 277 250 512 True 14,744 ± 2,870 / 3,265 ± 1,053 2.92 88.62 ± 0.53 / 88.44 ± 0.46 11.09 ± 10.39 / 33.19 ± 4.75 8.46 ± 2.34 / 51.98 ± 2.86 49.64 ± 1.94 / 62.02 ± 1.77 12.6.1 12.6.1 12.6.1 12.6.1
LumiOpen/Viking-13B (few-shot) 14030 131 4224 True 3,530 ± 748 / 829 ± 277 2.94 47.70 ± 2.71 / 44.98 ± 2.69 51.87 ± 6.35 / 49.40 ± 3.66 0.14 ± 1.67 / 46.80 ± 2.63 50.83 ± 1.05 / 61.39 ± 1.03 12.5.2 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 3.03 33.86 ± 2.16 / 32.80 ± 2.21 55.41 ± 2.17 / 54.48 ± 1.65 1.15 ± 1.81 / 34.47 ± 1.12 53.34 ± 1.21 / 64.09 ± 1.26 12.5.2 11.0.0 12.1.0 12.5.0
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking 135 120 512 True 33,753 ± 8,349 / 5,937 ± 1,946 3.03 81.71 ± 0.66 / 82.33 ± 0.53 50.69 ± 1.19 / 50.90 ± 0.50 2.16 ± 1.58 / 49.99 ± 1.47 4.16 ± 0.71 / 11.93 ± 0.61 12.6.1 12.6.1 12.6.1 12.6.1
sentence-transformers/quora-distilbert-multilingual 135 120 512 True 26,458 ± 5,992 / 5,274 ± 1,731 3.03 81.71 ± 0.66 / 82.33 ± 0.53 50.69 ± 1.19 / 50.90 ± 0.50 2.16 ± 1.58 / 49.99 ± 1.47 4.19 ± 0.69 / 11.99 ± 0.62 12.6.1 12.6.1 12.6.1 12.6.1
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 3.06 37.51 ± 1.56 / 33.24 ± 2.24 57.15 ± 2.35 / 52.82 ± 1.40 2.94 ± 2.00 / 44.53 ± 3.65 42.57 ± 1.97 / 55.17 ± 1.29 12.5.2 10.0.1 12.1.0 12.1.0
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 118 250 512 True 29,201 ± 6,282 / 6,045 ± 2,027 3.06 77.50 ± 0.54 / 78.82 ± 0.48 53.10 ± 1.18 / 51.88 ± 0.50 -0.35 ± 1.84 / 48.74 ± 1.43 3.13 ± 0.27 / 9.98 ± 0.25 12.6.1 12.6.1 12.6.1 12.6.1
EuropeanParliament/EUBERT 94 66 512 True 20,070 ± 3,977 / 4,400 ± 1,435 3.08 71.43 ± 0.88 / 71.51 ± 0.79 17.53 ± 2.21 / 38.67 ± 1.90 23.93 ± 5.87 / 59.48 ± 3.40 31.01 ± 0.89 / 42.98 ± 0.49 12.6.1 12.6.1 12.6.1 12.6.1
allenai/OLMo-1B (few-shot) 1177 50 2176 True 8,536 ± 1,926 / 1,940 ± 619 3.08 26.47 ± 6.25 / 28.27 ± 5.35 60.05 ± 3.94 / 56.18 ± 1.90 0.72 ± 1.90 / 42.84 ± 3.50 43.87 ± 2.49 / 55.59 ± 2.44 12.5.2 12.1.0 12.1.0 12.1.0
dbmdz/bert-base-historic-multilingual-cased 111 32 512 True 20,047 ± 4,407 / 3,844 ± 1,259 3.13 77.64 ± 0.74 / 79.56 ± 0.53 12.42 ± 9.17 / 33.80 ± 4.31 13.65 ± 6.22 / 53.84 ± 2.20 33.29 ± 0.96 / 45.71 ± 0.70 12.6.1 12.6.1 12.6.1 12.6.1
sentence-transformers/distiluse-base-multilingual-cased-v2 135 120 512 True 33,247 ± 8,123 / 6,017 ± 1,977 3.39 71.90 ± 1.49 / 74.21 ± 1.10 36.22 ± 1.39 / 45.80 ± 1.20 0.47 ± 1.65 / 48.67 ± 1.71 2.40 ± 0.23 / 8.51 ± 0.21 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 3.39 71.90 ± 1.49 / 74.21 ± 1.10 36.22 ± 1.39 / 45.80 ± 1.20 0.47 ± 1.65 / 48.67 ± 1.71 2.44 ± 0.17 / 8.50 ± 0.20 12.6.1 12.6.1 12.6.1 12.6.1
sentence-transformers/distiluse-base-multilingual-cased-v1 135 120 512 True 34,042 ± 8,482 / 5,951 ± 1,950 3.44 71.33 ± 0.75 / 73.43 ± 0.61 36.75 ± 1.28 / 47.80 ± 1.46 0.24 ± 1.44 / 47.55 ± 1.59 1.30 ± 0.31 / 9.37 ± 0.28 12.6.1 12.6.1 12.6.1 12.6.1
dbmdz/bert-tiny-historic-multilingual-cased 5 32 512 True 78,027 ± 15,466 / 17,064 ± 5,335 3.60 65.85 ± 0.80 / 68.72 ± 0.81 25.85 ± 2.01 / 40.72 ± 0.85 1.21 ± 1.72 / 50.03 ± 0.84 4.00 ± 0.55 / 11.02 ± 0.40 12.6.1 12.6.1 12.6.1 12.6.1
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 3.81 18.69 ± 7.23 / 18.50 ± 6.51 21.95 ± 6.30 / 33.38 ± 4.79 0.01 ± 1.91 / 39.40 ± 3.94 36.51 ± 2.07 / 50.66 ± 1.90 9.3.1 9.3.1 9.3.1 12.5.2
3ebdola/Dialectal-Arabic-XLM-R-Base 277 250 512 True 12,783 ± 2,537 / 2,712 ± 885 3.86 68.25 ± 2.50 / 70.44 ± 2.50 1.92 ± 1.68 / 28.84 ± 2.38 1.08 ± 1.34 / 47.42 ± 1.71 2.79 ± 0.93 / 10.00 ± 0.84 12.6.1 12.6.1 12.6.1 12.6.1
fresh-xlm-roberta-base 277 250 512 True 2,214 ± 94 / 1,494 ± 229 4.34 34.64 ± 1.25 / 34.41 ± 1.49 4.00 ± 3.78 / 24.24 ± 3.94 1.33 ± 1.00 / 42.07 ± 4.82 0.43 ± 0.11 / 6.18 ± 1.24 12.6.1 12.6.1 12.6.1 12.6.1
fresh-electra-small 13 31 512 True 7,840 ± 1,538 / 3,024 ± 438 4.42 30.77 ± 0.92 / 30.14 ± 1.03 0.58 ± 1.45 / 20.82 ± 1.74 -0.17 ± 0.47 / 37.18 ± 3.93 0.46 ± 0.14 / 6.16 ± 0.24 12.6.1 12.6.1 12.6.1 12.6.1
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 4.70 1.55 ± 1.98 / 1.45 ± 1.82 3.71 ± 3.16 / 22.09 ± 2.08 -0.42 ± 1.56 / 40.58 ± 3.74 5.58 ± 3.10 / 11.12 ± 4.66 9.3.1 10.0.1 11.0.0 12.5.1
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.82 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 19.61 ± 0.22 0.41 ± 0.55 / 33.46 ± 0.37 0.00 ± 0.00 / 3.68 ± 0.43 9.3.1 9.3.1 9.3.1 12.5.1
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