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layout title
leaderboard
Germanic NLU 🇪🇺
Last updated: 02/01/2025 17:08:36 CET
Include merged models
Model ID Parameters Vocabulary size Context Commercial Speed Rank Danish Rank Norwegian Rank Swedish Rank Icelandic Rank Faroese Rank German Rank Dutch Rank English Rank DANSK Angry Tweets ScaLA-da ScandiQA-da NorNE-nb NorNE-nn NoReC ScaLA-nb ScaLA-nn NorQuAD SUC3 SweReC ScaLA-sv ScandiQA-sv MIM-GOLD-NER Hotter-and-Colder-sentiment ScaLA-is NQiI FoNE FoSent ScaLA-fo FoQA GermEval SB10k ScaLA-de GermanQuAD CoNLL-nl Dutch Social ScaLA-nl SQuAD-nl CoNLL-en SST5 ScaLA-en SQuAD DANSK version Angry Tweets version ScaLA-da version ScandiQA-da version NorNE-nb version NorNE-nn version NoReC version ScaLA-nb version ScaLA-nn version NorQuAD version SUC3 version SweReC version ScaLA-sv version ScandiQA-sv version MIM-GOLD-NER version Hotter-and-Colder-sentiment version ScaLA-is version NQiI version FoNE version FoSent version ScaLA-fo version FoQA version GermEval version SB10k version ScaLA-de version GermanQuAD version CoNLL-nl version Dutch Social version ScaLA-nl version SQuAD-nl version CoNLL-en version SST5 version ScaLA-en version SQuAD version
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.46 1.20 1.38 1.19 1.30 1.77 1.49 1.95 1.36 66.80 ± 3.01 / 45.69 ± 2.85 61.62 ± 2.17 / 73.99 ± 1.48 66.84 ± 3.27 / 82.79 ± 1.86 56.85 ± 2.62 / 68.83 ± 1.50 77.48 ± 2.32 / 55.87 ± 2.83 78.70 ± 2.78 / 57.58 ± 4.23 62.55 ± 2.82 / 72.41 ± 2.42 74.45 ± 4.27 / 86.22 ± 2.49 56.31 ± 5.81 / 74.04 ± 4.03 44.67 ± 3.23 / 73.39 ± 1.83 74.45 ± 3.09 / 49.97 ± 4.23 77.59 ± 1.38 / 78.78 ± 1.69 71.35 ± 3.10 / 83.98 ± 2.23 56.56 ± 1.39 / 66.76 ± 1.10 86.37 ± 1.19 / 82.25 ± 2.73 49.59 ± 2.76 / 62.50 ± 2.08 43.03 ± 5.07 / 71.18 ± 2.64 37.26 ± 2.60 / 66.04 ± 1.95 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 68.94 ± 2.50 / 44.89 ± 2.85 60.47 ± 2.94 / 72.79 ± 1.90 51.26 ± 4.94 / 74.76 ± 2.45 30.04 ± 1.30 / 58.77 ± 1.50 66.44 ± 2.18 / 56.97 ± 2.87 14.22 ± 3.26 / 33.41 ± 3.24 72.30 ± 2.26 / 85.96 ± 1.13 57.81 ± 1.23 / 74.51 ± 0.62 81.79 ± 1.39 / 65.51 ± 4.16 67.55 ± 2.34 / 74.04 ± 1.80 51.21 ± 4.96 / 75.11 ± 2.42 66.60 ± 1.45 / 84.48 ± 0.76 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.0 12.10.2 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2 12.10.0 12.5.1 13.2.0 12.10.2 12.5.1 12.5.1 13.3.0 12.5.1 13.0.0 12.6.1 12.10.2 12.10.2 12.6.1 12.3.2 12.10.2 12.10.2 12.3.2 12.10.0 12.10.2 12.10.2 12.10.0
microsoft/mdeberta-v3-base 279 251 512 True 20,637 ± 3,925 / 4,497 ± 1,502 1.66 1.60 1.35 1.38 1.33 2.43 1.65 2.19 1.35 72.90 ± 2.53 / 67.41 ± 2.19 43.38 ± 3.20 / 60.05 ± 4.33 67.05 ± 1.41 / 83.18 ± 0.80 42.15 ± 2.12 / 47.97 ± 1.99 91.90 ± 0.54 / 89.55 ± 0.57 86.81 ± 1.35 / 83.46 ± 1.68 53.69 ± 4.28 / 63.69 ± 6.95 70.55 ± 1.64 / 84.79 ± 0.86 61.21 ± 1.20 / 79.87 ± 0.76 48.82 ± 1.20 / 63.72 ± 1.06 78.84 ± 2.19 / 72.86 ± 2.04 75.24 ± 0.99 / 72.06 ± 2.67 72.30 ± 1.04 / 85.77 ± 0.65 44.74 ± 1.04 / 50.62 ± 0.85 81.12 ± 2.02 / 81.48 ± 1.69 45.30 ± 1.76 / 62.84 ± 1.27 54.11 ± 2.40 / 76.46 ± 1.28 30.93 ± 0.96 / 56.17 ± 1.10 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 77.42 ± 1.30 / 76.39 ± 1.16 50.90 ± 6.20 / 66.89 ± 4.34 59.38 ± 2.00 / 79.12 ± 1.09 20.28 ± 1.15 / 42.79 ± 1.37 84.47 ± 1.84 / 87.98 ± 1.21 5.16 ± 5.21 / 27.85 ± 3.29 71.23 ± 1.62 / 85.45 ± 0.83 46.43 ± 0.72 / 57.80 ± 0.84 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.7.0 12.7.0 12.7.0 12.7.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
gpt-4o-2024-05-13 (few-shot, val) unknown 200 128000 True 916 ± 329 / 114 ± 38 1.69 1.33 1.37 1.18 1.27 3.08 1.67 2.15 1.43 71.15 ± 2.89 / 52.24 ± 3.76 49.42 ± 3.29 / 61.74 ± 2.59 64.59 ± 2.97 / 79.93 ± 1.88 57.35 ± 2.51 / 67.87 ± 1.75 79.07 ± 3.01 / 64.17 ± 3.51 81.56 ± 2.45 / 64.06 ± 4.11 66.66 ± 1.91 / 77.70 ± 1.29 64.53 ± 6.09 / 79.17 ± 4.89 54.70 ± 4.36 / 74.94 ± 3.26 43.51 ± 3.40 / 74.52 ± 1.79 76.66 ± 2.11 / 60.34 ± 4.71 77.16 ± 2.65 / 79.22 ± 2.36 68.99 ± 4.33 / 83.37 ± 2.61 57.96 ± 1.35 / 67.71 ± 0.96 81.19 ± 2.45 / 54.02 ± 5.60 49.86 ± 5.14 / 64.51 ± 3.68 51.10 ± 5.09 / 73.25 ± 3.42 29.64 ± 2.12 / 55.46 ± 1.12 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 69.99 ± 1.63 / 45.58 ± 2.42 54.82 ± 2.19 / 68.42 ± 1.67 43.66 ± 5.67 / 64.64 ± 4.65 30.06 ± 1.04 / 60.77 ± 1.11 76.75 ± 3.44 / 61.13 ± 4.40 10.80 ± 2.24 / 32.52 ± 2.18 56.26 ± 4.51 / 73.83 ± 3.26 55.55 ± 2.54 / 76.28 ± 1.13 83.48 ± 1.52 / 75.51 ± 2.26 62.74 ± 2.04 / 71.28 ± 1.46 46.56 ± 3.35 / 71.13 ± 1.97 65.41 ± 1.96 / 84.78 ± 0.68 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.0 12.10.2 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 13.2.0 12.10.2 12.10.0 12.10.0 13.3.0 12.10.0 13.0.0 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2 12.10.0
google/rembert 576 250 256 True 11,736 ± 2,822 / 2,102 ± 677 1.72 1.53 1.27 1.34 1.63 3.13 1.20 2.28 1.39 70.19 ± 3.34 / 66.64 ± 2.68 50.19 ± 1.82 / 66.32 ± 1.50 69.72 ± 2.25 / 84.30 ± 1.64 39.85 ± 8.97 / 44.44 ± 9.99 88.70 ± 2.05 / 84.95 ± 2.83 86.11 ± 1.67 / 82.16 ± 1.96 54.19 ± 3.15 / 65.18 ± 4.55 69.83 ± 2.01 / 84.72 ± 1.10 54.84 ± 12.59 / 75.13 ± 9.44 58.18 ± 1.84 / 71.29 ± 1.51 78.23 ± 1.53 / 72.58 ± 1.51 75.99 ± 1.15 / 71.01 ± 4.17 72.17 ± 0.94 / 85.94 ± 0.54 46.00 ± 2.13 / 51.05 ± 2.40 78.05 ± 1.72 / 78.74 ± 1.41 36.87 ± 3.38 / 56.59 ± 2.94 48.29 ± 2.59 / 73.54 ± 1.99 29.38 ± 1.81 / 52.42 ± 3.00 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 77.62 ± 0.80 / 76.16 ± 0.79 60.65 ± 2.10 / 73.52 ± 1.58 62.60 ± 2.16 / 81.12 ± 1.14 33.62 ± 1.34 / 60.41 ± 1.36 75.49 ± 1.75 / 81.37 ± 1.31 4.79 ± 3.93 / 27.49 ± 2.37 66.47 ± 2.04 / 83.16 ± 1.01 55.70 ± 1.62 / 68.38 ± 1.47 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.7.0 12.7.0 12.7.0 12.7.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
setu4993/LaBSE 471 501 512 True 25,418 ± 6,435 / 4,536 ± 1,452 1.78 1.75 1.57 1.52 2.12 2.74 1.53 1.43 1.58 71.24 ± 1.63 / 66.41 ± 1.64 46.50 ± 1.57 / 64.31 ± 1.21 52.92 ± 4.42 / 75.11 ± 3.22 40.08 ± 1.22 / 45.40 ± 1.14 90.58 ± 0.91 / 87.84 ± 1.00 85.21 ± 1.05 / 81.57 ± 1.30 54.26 ± 1.75 / 67.25 ± 1.47 59.44 ± 1.47 / 78.80 ± 1.00 49.30 ± 1.39 / 74.02 ± 1.04 46.42 ± 1.44 / 61.82 ± 1.47 77.78 ± 1.69 / 72.08 ± 1.81 73.58 ± 1.37 / 70.43 ± 2.49 60.36 ± 2.98 / 79.72 ± 1.52 41.71 ± 1.08 / 47.07 ± 0.98 80.45 ± 1.29 / 81.01 ± 1.16 46.40 ± 1.18 / 63.25 ± 0.79 36.92 ± 7.62 / 66.07 ± 3.89 11.75 ± 0.66 / 46.17 ± 1.42 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 79.44 ± 0.96 / 78.42 ± 0.98 58.65 ± 1.67 / 72.12 ± 1.18 52.19 ± 2.96 / 74.17 ± 1.82 23.66 ± 0.97 / 45.11 ± 1.50 82.02 ± 1.04 / 84.71 ± 0.59 33.99 ± 4.05 / 50.69 ± 4.23 60.77 ± 1.53 / 79.80 ± 0.87 41.55 ± 1.08 / 51.73 ± 1.18 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.7.0 12.7.0 12.7.0 12.7.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
intfloat/multilingual-e5-large 560 250 512 True 6,732 ± 1,273 / 1,633 ± 523 1.80 1.51 1.47 1.38 2.65 3.41 1.33 1.35 1.29 69.50 ± 1.78 / 65.03 ± 1.31 55.07 ± 1.53 / 69.43 ± 1.47 57.67 ± 2.56 / 78.48 ± 1.32 46.71 ± 1.25 / 52.84 ± 1.18 89.86 ± 0.93 / 90.64 ± 0.80 84.32 ± 1.08 / 86.52 ± 0.94 61.52 ± 1.87 / 72.72 ± 1.95 62.34 ± 2.48 / 79.94 ± 1.46 34.88 ± 11.23 / 66.51 ± 5.72 53.01 ± 1.05 / 70.46 ± 0.86 80.36 ± 1.12 / 78.57 ± 1.27 79.65 ± 1.05 / 78.90 ± 1.32 63.15 ± 1.65 / 81.06 ± 0.95 46.99 ± 1.18 / 53.49 ± 0.89 78.43 ± 1.53 / 79.30 ± 1.03 48.52 ± 1.18 / 64.38 ± 1.18 10.78 ± 7.04 / 53.28 ± 3.97 13.79 ± 0.96 / 54.20 ± 1.31 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 79.73 ± 1.38 / 78.52 ± 1.44 64.78 ± 1.34 / 76.30 ± 0.98 47.24 ± 13.67 / 71.51 ± 8.03 28.11 ± 0.94 / 54.87 ± 1.08 82.31 ± 2.14 / 86.91 ± 1.34 32.64 ± 2.91 / 49.90 ± 3.42 58.51 ± 4.12 / 78.17 ± 2.32 45.32 ± 1.91 / 57.53 ± 1.78 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot) 28411 256 4096 True 3,633 ± 1,236 / 777 ± 220 1.86 1.39 1.92 1.50 2.35 2.27 1.70 2.30 1.45 66.50 ± 2.00 / 45.33 ± 2.92 58.93 ± 1.72 / 72.70 ± 1.38 57.27 ± 1.30 / 78.52 ± 0.62 55.02 ± 0.88 / 64.14 ± 0.46 76.25 ± 1.39 / 60.31 ± 3.22 77.91 ± 0.47 / 61.81 ± 3.84 40.54 ± 0.72 / 39.96 ± 0.60 59.75 ± 1.66 / 78.91 ± 1.21 47.82 ± 2.00 / 73.51 ± 1.21 40.99 ± 1.38 / 69.77 ± 1.17 62.91 ± 1.46 / 47.13 ± 3.48 79.51 ± 0.63 / 79.57 ± 0.65 60.28 ± 1.19 / 79.99 ± 0.66 55.44 ± 0.92 / 64.81 ± 0.62 67.23 ± 2.77 / 45.61 ± 4.86 50.38 ± 1.18 / 66.21 ± 1.00 20.01 ± 1.09 / 59.74 ± 0.60 21.18 ± 1.67 / 49.26 ± 0.93 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 73.31 ± 1.01 / 59.78 ± 2.14 58.02 ± 1.62 / 71.81 ± 1.10 45.12 ± 0.99 / 70.92 ± 0.38 24.67 ± 1.03 / 55.19 ± 1.27 68.17 ± 1.75 / 51.61 ± 2.73 10.56 ± 1.04 / 19.29 ± 0.63 56.89 ± 0.82 / 78.31 ± 0.43 53.05 ± 2.18 / 71.82 ± 0.84 81.06 ± 0.87 / 75.22 ± 1.31 68.92 ± 1.04 / 72.90 ± 0.74 49.06 ± 1.46 / 72.52 ± 0.82 61.27 ± 1.63 / 81.48 ± 0.86 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
intfloat/multilingual-e5-large-instruct 560 250 514 True 5,947 ± 1,301 / 1,129 ± 374 1.90 1.79 1.74 1.45 2.67 3.36 1.33 1.59 1.26 69.86 ± 1.64 / 65.30 ± 1.46 55.45 ± 1.57 / 69.74 ± 1.66 31.14 ± 18.61 / 63.23 ± 10.14 45.51 ± 2.60 / 52.75 ± 1.79 89.27 ± 1.00 / 90.42 ± 0.65 83.78 ± 1.53 / 86.17 ± 1.36 63.35 ± 0.63 / 74.20 ± 0.91 55.71 ± 11.72 / 77.00 ± 5.84 12.32 ± 12.70 / 53.74 ± 7.38 38.74 ± 7.61 / 58.52 ± 7.90 79.50 ± 0.96 / 77.37 ± 0.89 79.48 ± 0.87 / 77.47 ± 1.64 53.01 ± 15.20 / 75.97 ± 7.76 45.68 ± 1.62 / 53.19 ± 1.02 78.32 ± 1.32 / 79.70 ± 1.08 50.10 ± 1.59 / 64.91 ± 2.07 8.11 ± 3.77 / 50.71 ± 3.73 13.93 ± 1.14 / 53.59 ± 1.62 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 79.77 ± 1.22 / 78.93 ± 1.23 65.72 ± 1.70 / 76.73 ± 1.23 49.82 ± 10.56 / 73.61 ± 5.48 28.42 ± 1.71 / 55.35 ± 1.55 83.68 ± 1.57 / 87.38 ± 1.03 27.19 ± 6.73 / 45.37 ± 6.25 51.80 ± 10.91 / 75.02 ± 5.60 46.07 ± 1.33 / 58.70 ± 1.30 91.43 ± 0.52 / 91.15 ± 0.44 66.42 ± 1.01 / 64.56 ± 1.33 53.05 ± 12.06 / 75.49 ± 6.21 61.34 ± 1.79 / 74.85 ± 1.26 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
FacebookAI/xlm-roberta-large 560 250 512 True 17,897 ± 3,921 / 3,463 ± 1,141 1.94 1.58 1.43 1.55 2.16 3.81 1.27 2.02 1.68 72.74 ± 2.58 / 67.15 ± 2.53 48.33 ± 4.44 / 63.94 ± 5.16 57.30 ± 14.90 / 76.82 ± 8.67 43.57 ± 3.28 / 49.29 ± 3.35 91.66 ± 1.24 / 89.34 ± 1.62 86.19 ± 0.97 / 82.86 ± 1.29 50.25 ± 15.36 / 63.55 ± 13.05 55.51 ± 18.28 / 74.00 ± 13.38 43.89 ± 14.81 / 68.88 ± 10.32 57.57 ± 2.43 / 72.69 ± 2.22 80.33 ± 2.50 / 75.03 ± 3.79 76.63 ± 0.98 / 74.25 ± 3.20 49.72 ± 19.88 / 69.94 ± 13.64 46.64 ± 1.42 / 52.21 ± 1.45 82.83 ± 1.09 / 83.16 ± 1.02 48.41 ± 6.83 / 64.09 ± 6.26 22.78 ± 12.25 / 57.07 ± 8.18 15.72 ± 1.39 / 55.29 ± 1.30 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 80.64 ± 0.81 / 80.03 ± 0.97 63.02 ± 1.62 / 75.25 ± 1.08 54.83 ± 9.12 / 76.02 ± 5.19 29.09 ± 1.00 / 55.68 ± 1.11 83.49 ± 1.51 / 86.12 ± 1.21 8.82 ± 7.93 / 30.82 ± 4.71 64.80 ± 8.79 / 80.93 ± 6.29 50.72 ± 1.20 / 61.66 ± 1.16 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.7.0 12.7.0 12.7.0 12.7.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
gpt-4o-mini-2024-07-18 (few-shot, val) unknown 200 8191 True 784 ± 310 / 95 ± 28 2.01 1.87 1.99 1.96 1.85 2.67 1.88 2.27 1.61 59.96 ± 1.64 / 41.55 ± 2.90 56.91 ± 2.34 / 71.25 ± 1.60 67.13 ± 4.29 / 83.05 ± 2.24 17.52 ± 2.69 / 33.63 ± 2.10 72.74 ± 1.75 / 57.58 ± 4.14 69.17 ± 2.61 / 56.34 ± 3.95 67.45 ± 4.03 / 77.50 ± 2.90 74.27 ± 2.57 / 86.86 ± 1.43 54.83 ± 3.96 / 76.91 ± 1.98 3.67 ± 1.64 / 43.45 ± 1.90 62.45 ± 2.79 / 46.68 ± 4.08 77.69 ± 2.28 / 78.73 ± 2.17 68.93 ± 3.67 / 84.15 ± 2.01 12.11 ± 4.65 / 31.14 ± 3.37 64.69 ± 1.77 / 37.89 ± 3.23 56.18 ± 4.37 / 69.53 ± 2.97 45.52 ± 4.15 / 71.51 ± 2.48 15.80 ± 6.24 / 55.19 ± 4.14 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 65.51 ± 1.91 / 48.61 ± 3.73 55.16 ± 3.05 / 69.81 ± 1.96 44.60 ± 3.19 / 67.35 ± 2.53 21.87 ± 3.80 / 59.67 ± 2.67 68.71 ± 3.85 / 53.19 ± 4.36 20.33 ± 2.51 / 40.68 ± 1.79 49.52 ± 5.39 / 72.59 ± 3.64 34.06 ± 3.24 / 61.15 ± 2.69 77.38 ± 1.61 / 66.97 ± 2.42 66.75 ± 2.50 / 73.93 ± 1.51 52.43 ± 3.69 / 74.46 ± 2.17 41.03 ± 6.90 / 67.96 ± 4.99 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0 14.0.0
intfloat/multilingual-e5-base 278 250 512 True 14,965 ± 2,890 / 3,322 ± 1,074 2.12 1.86 1.98 1.68 2.66 3.50 1.79 1.98 1.51 68.70 ± 2.40 / 64.05 ± 2.19 49.88 ± 1.21 / 66.06 ± 1.12 44.20 ± 2.01 / 70.33 ± 1.04 39.90 ± 1.37 / 45.91 ± 1.20 88.26 ± 1.11 / 89.24 ± 0.95 81.37 ± 1.67 / 83.89 ± 1.34 54.61 ± 1.51 / 67.19 ± 1.65 50.35 ± 1.78 / 73.06 ± 1.46 22.15 ± 9.02 / 58.20 ± 5.38 31.77 ± 1.55 / 45.47 ± 2.02 79.02 ± 0.74 / 77.59 ± 0.76 76.06 ± 0.89 / 69.85 ± 3.16 50.19 ± 1.23 / 74.23 ± 0.99 40.65 ± 1.29 / 46.62 ± 1.30 75.46 ± 1.42 / 77.52 ± 0.88 42.08 ± 1.98 / 59.90 ± 1.47 15.21 ± 8.62 / 54.40 ± 5.57 10.82 ± 0.92 / 43.65 ± 2.51 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 74.79 ± 1.45 / 75.10 ± 1.37 63.29 ± 1.54 / 75.42 ± 1.03 45.32 ± 8.38 / 71.30 ± 4.11 16.42 ± 0.54 / 34.46 ± 1.03 79.12 ± 1.90 / 83.05 ± 1.09 27.67 ± 2.85 / 44.90 ± 2.69 39.28 ± 12.28 / 67.90 ± 5.94 35.71 ± 1.70 / 46.63 ± 1.40 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/roberta-large-1160k 355 50 512 True 14,014 ± 2,384 / 3,625 ± 1,146 2.16 1.29 1.09 1.18 3.03 3.54 2.59 3.24 1.34 74.16 ± 1.73 / 70.93 ± 1.67 51.20 ± 1.67 / 66.62 ± 1.58 73.87 ± 2.13 / 86.61 ± 1.17 49.34 ± 1.14 / 55.06 ± 1.21 92.01 ± 0.98 / 92.36 ± 0.70 87.17 ± 1.24 / 88.75 ± 0.89 60.11 ± 2.96 / 70.55 ± 3.99 72.85 ± 5.60 / 85.73 ± 3.14 65.56 ± 1.91 / 82.23 ± 0.97 60.38 ± 0.95 / 75.42 ± 1.16 82.65 ± 1.04 / 80.43 ± 0.93 77.25 ± 1.20 / 73.96 ± 2.59 77.90 ± 1.45 / 88.63 ± 0.76 49.64 ± 1.11 / 55.64 ± 1.07 74.30 ± 2.15 / 76.10 ± 2.10 38.53 ± 2.56 / 56.94 ± 2.26 2.06 ± 2.43 / 37.04 ± 4.14 11.47 ± 0.96 / 48.11 ± 0.94 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 68.93 ± 1.48 / 67.48 ± 1.55 46.81 ± 1.79 / 64.02 ± 1.31 3.39 ± 3.01 / 39.29 ± 4.82 18.62 ± 1.74 / 34.87 ± 2.36 70.92 ± 1.61 / 78.52 ± 1.23 3.50 ± 3.15 / 27.25 ± 2.24 2.06 ± 1.79 / 41.06 ± 5.11 41.40 ± 1.92 / 51.93 ± 2.09 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 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 13.3.0 10.0.1 10.0.1 10.0.1 13.3.0 10.0.1 13.0.0 12.10.0 12.10.0 12.10.0 12.10.0 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1
meta-llama/Llama-3.1-8B (few-shot) 8030 128 131072 True 2,610 ± 751 / 176 ± 66 2.22 2.15 2.12 2.04 2.56 2.96 1.83 2.38 1.73 50.92 ± 1.88 / 34.24 ± 2.85 50.45 ± 2.11 / 65.71 ± 2.12 26.35 ± 3.31 / 53.58 ± 4.93 48.38 ± 5.07 / 55.27 ± 4.71 64.62 ± 1.26 / 53.50 ± 3.27 65.10 ± 1.86 / 56.43 ± 2.58 52.87 ± 1.18 / 68.71 ± 1.01 28.34 ± 3.26 / 58.57 ± 4.45 22.40 ± 3.12 / 53.51 ± 5.42 53.20 ± 3.15 / 75.98 ± 2.62 62.19 ± 2.34 / 43.29 ± 4.62 80.79 ± 0.65 / 79.90 ± 1.03 27.38 ± 3.04 / 52.74 ± 4.07 42.78 ± 7.55 / 49.56 ± 7.91 52.97 ± 1.54 / 38.17 ± 4.65 43.06 ± 1.23 / 60.01 ± 1.16 8.13 ± 2.53 / 43.02 ± 4.58 31.99 ± 2.60 / 60.26 ± 1.51 65.65 ± 3.31 / 63.81 ± 2.72 47.04 ± 2.85 / 62.76 ± 2.51 3.55 ± 2.37 / 38.16 ± 3.37 45.01 ± 1.79 / 65.74 ± 1.54 60.46 ± 1.26 / 47.72 ± 1.69 58.57 ± 2.53 / 71.30 ± 1.70 26.25 ± 5.90 / 61.41 ± 3.94 34.85 ± 3.43 / 64.05 ± 3.68 64.79 ± 1.96 / 45.48 ± 2.24 11.95 ± 2.83 / 37.12 ± 2.19 32.97 ± 2.68 / 58.52 ± 2.92 63.89 ± 1.06 / 74.73 ± 1.02 69.86 ± 2.10 / 62.68 ± 2.21 66.76 ± 0.72 / 68.58 ± 0.72 30.96 ± 2.46 / 61.29 ± 3.61 71.39 ± 2.20 / 84.24 ± 1.55 14.0.3 14.0.3 14.0.3 14.0.3 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4 14.0.0 14.0.0 14.0.0 14.0.0 14.0.4 14.0.4 14.0.4 14.0.4 12.11.0 12.11.0 12.11.0 13.0.0 12.11.0 12.11.0 12.11.0 13.0.0 12.11.0 12.11.0 12.11.0 13.0.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 1,007 ± 316 / 162 ± 45 2.24 2.13 2.14 2.07 2.63 2.76 1.89 2.49 1.79 57.74 ± 2.06 / 40.66 ± 2.58 48.43 ± 3.31 / 62.09 ± 3.62 27.12 ± 2.83 / 60.40 ± 2.70 46.76 ± 1.20 / 59.77 ± 0.51 74.47 ± 1.47 / 65.57 ± 2.39 72.93 ± 1.00 / 65.44 ± 2.55 50.62 ± 3.52 / 65.69 ± 3.50 27.77 ± 1.63 / 61.75 ± 1.77 20.35 ± 1.92 / 57.74 ± 2.28 42.90 ± 3.57 / 69.90 ± 3.17 69.67 ± 1.30 / 52.94 ± 4.01 59.93 ± 4.70 / 67.54 ± 3.04 27.63 ± 3.19 / 60.85 ± 3.29 49.84 ± 1.61 / 60.85 ± 0.93 60.20 ± 2.76 / 40.38 ± 4.22 38.09 ± 2.38 / 54.51 ± 2.16 9.14 ± 0.98 / 49.56 ± 2.11 28.66 ± 1.28 / 58.93 ± 1.41 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 68.18 ± 0.95 / 57.72 ± 1.15 58.33 ± 2.83 / 69.31 ± 3.16 29.12 ± 3.17 / 63.60 ± 1.63 28.68 ± 1.99 / 56.42 ± 3.34 68.72 ± 1.81 / 54.89 ± 2.10 14.67 ± 2.51 / 41.36 ± 2.04 32.91 ± 2.56 / 64.93 ± 1.97 45.36 ± 1.31 / 67.50 ± 0.69 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.4 14.0.4 14.0.4 14.0.4 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
meta-llama/Llama-3.1-8B-Instruct (few-shot) 8030 128 131072 True 1,005 ± 330 / 196 ± 74 2.26 1.95 2.25 1.98 2.80 2.92 1.89 2.45 1.81 54.70 ± 1.69 / 38.11 ± 2.31 54.81 ± 1.51 / 67.88 ± 1.39 32.11 ± 1.93 / 63.11 ± 1.61 48.87 ± 1.18 / 59.47 ± 0.67 74.77 ± 0.84 / 71.87 ± 0.97 72.80 ± 1.57 / 69.98 ± 1.84 57.30 ± 0.98 / 71.58 ± 0.90 5.23 ± 1.83 / 34.90 ± 0.81 11.51 ± 3.24 / 45.73 ± 5.97 43.93 ± 3.73 / 70.96 ± 3.00 55.80 ± 2.68 / 34.65 ± 1.98 79.23 ± 0.48 / 76.86 ± 0.80 32.67 ± 2.18 / 63.89 ± 1.49 46.88 ± 1.47 / 58.66 ± 0.84 46.48 ± 1.98 / 24.57 ± 1.73 39.91 ± 2.35 / 57.39 ± 1.64 11.72 ± 1.81 / 51.67 ± 1.45 25.91 ± 0.99 / 53.39 ± 1.83 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 67.61 ± 1.23 / 60.39 ± 1.02 59.96 ± 2.00 / 70.71 ± 1.80 28.25 ± 3.57 / 59.54 ± 3.88 28.79 ± 2.02 / 55.82 ± 3.28 69.76 ± 1.36 / 57.66 ± 1.36 15.51 ± 1.59 / 39.71 ± 1.21 37.58 ± 3.42 / 66.98 ± 2.22 41.26 ± 2.09 / 65.63 ± 0.90 76.95 ± 0.95 / 72.47 ± 0.82 68.12 ± 0.92 / 72.48 ± 0.53 34.34 ± 3.37 / 65.84 ± 1.59 47.88 ± 3.37 / 76.21 ± 1.69 14.0.3 14.0.3 14.0.3 14.0.3 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4 14.0.1 14.0.1 14.0.1 14.0.1 14.0.4 14.0.4 14.0.4 14.0.4 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 1,046 ± 295 / 180 ± 60 2.33 2.08 2.24 1.91 2.54 3.47 2.01 2.55 1.80 49.46 ± 1.88 / 32.11 ± 2.41 51.26 ± 1.89 / 67.20 ± 1.48 31.94 ± 3.31 / 62.34 ± 3.59 49.75 ± 5.10 / 56.13 ± 4.89 61.48 ± 1.83 / 47.65 ± 2.94 61.58 ± 2.21 / 50.10 ± 2.68 49.87 ± 1.88 / 66.15 ± 1.44 21.20 ± 6.57 / 52.29 ± 7.43 19.65 ± 4.32 / 56.66 ± 4.40 53.35 ± 4.33 / 74.98 ± 3.70 59.92 ± 2.46 / 40.98 ± 4.90 80.51 ± 0.82 / 80.98 ± 0.60 34.87 ± 2.21 / 62.39 ± 3.23 47.69 ± 6.29 / 54.30 ± 6.65 50.45 ± 1.95 / 37.62 ± 3.95 43.85 ± 1.31 / 60.58 ± 1.20 10.82 ± 1.73 / 48.66 ± 3.57 31.94 ± 2.16 / 59.26 ± 1.50 61.11 ± 4.21 / 58.55 ± 4.19 19.96 ± 5.17 / 31.78 ± 5.62 2.02 ± 1.68 / 39.88 ± 3.56 50.34 ± 1.74 / 71.74 ± 1.27 56.00 ± 1.94 / 43.49 ± 2.05 56.40 ± 3.89 / 70.17 ± 2.91 22.01 ± 5.17 / 56.97 ± 3.54 35.39 ± 2.49 / 64.61 ± 2.42 62.26 ± 2.20 / 42.41 ± 2.02 10.45 ± 2.69 / 33.45 ± 1.99 30.30 ± 3.94 / 62.28 ± 2.89 62.99 ± 1.00 / 73.73 ± 0.98 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 14.0.3 14.0.3 14.0.3 14.0.3 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 14.0.4 14.0.4 14.0.4 14.0.4 14.0.1 14.0.1 14.0.1 14.0.1 12.6.1 13.3.0 12.6.1 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
mistralai/Ministral-8B-Instruct-2410 (few-shot) 8020 131 32768 True 912 ± 238 / 179 ± 70 2.33 2.22 2.18 2.10 3.00 3.29 1.80 2.36 1.67 55.49 ± 2.05 / 34.11 ± 1.79 49.18 ± 1.89 / 65.27 ± 1.69 7.40 ± 1.81 / 35.19 ± 0.73 57.72 ± 0.54 / 64.99 ± 0.45 69.85 ± 2.00 / 59.43 ± 3.23 68.83 ± 1.07 / 59.51 ± 2.63 54.49 ± 2.44 / 69.23 ± 2.00 28.55 ± 2.65 / 61.53 ± 3.21 17.47 ± 3.61 / 52.60 ± 5.26 43.55 ± 3.42 / 71.05 ± 3.22 54.76 ± 1.82 / 31.21 ± 2.67 73.32 ± 1.59 / 75.58 ± 1.15 16.17 ± 2.98 / 42.93 ± 2.72 57.94 ± 0.58 / 65.27 ± 0.58 47.10 ± 1.90 / 22.63 ± 2.03 24.43 ± 2.98 / 39.27 ± 3.37 7.19 ± 2.76 / 44.62 ± 3.61 28.73 ± 1.45 / 54.38 ± 2.28 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 66.00 ± 1.13 / 54.14 ± 2.44 54.76 ± 3.11 / 68.36 ± 2.92 33.55 ± 4.69 / 63.49 ± 2.99 32.69 ± 1.98 / 64.23 ± 2.89 66.51 ± 1.38 / 52.40 ± 2.62 13.55 ± 2.14 / 37.36 ± 1.32 34.46 ± 2.79 / 65.61 ± 2.58 59.23 ± 1.16 / 72.56 ± 0.80 72.40 ± 0.80 / 65.83 ± 1.64 63.46 ± 2.10 / 69.49 ± 1.15 35.86 ± 7.94 / 65.20 ± 6.98 68.42 ± 1.21 / 83.97 ± 0.74 14.0.3 14.0.3 14.0.3 14.0.3 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4 14.0.0 14.0.0 14.0.0 14.0.0 14.0.4 14.0.4 14.0.4 14.0.4 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 4096 False 1,629 ± 573 / 262 ± 149 2.37 2.24 2.13 2.11 3.18 3.67 1.85 2.19 1.62 51.94 ± 2.00 / 27.59 ± 1.79 51.97 ± 1.36 / 68.62 ± 0.93 29.99 ± 0.73 / 60.05 ± 1.33 38.99 ± 2.82 / 52.38 ± 2.25 66.22 ± 2.15 / 48.98 ± 4.65 64.14 ± 1.26 / 49.59 ± 4.31 55.48 ± 1.77 / 69.68 ± 1.45 26.13 ± 1.28 / 56.08 ± 2.05 17.32 ± 0.77 / 54.57 ± 1.49 49.75 ± 1.22 / 77.08 ± 0.60 56.28 ± 1.55 / 28.71 ± 3.39 77.51 ± 0.55 / 76.88 ± 0.58 23.25 ± 2.19 / 50.00 ± 2.40 47.09 ± 2.61 / 59.76 ± 2.06 42.23 ± 4.22 / 25.96 ± 4.27 27.93 ± 2.80 / 48.93 ± 1.43 6.38 ± 0.99 / 49.63 ± 1.47 19.39 ± 3.38 / 53.87 ± 1.59 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 65.01 ± 0.68 / 43.34 ± 2.80 51.80 ± 1.29 / 67.45 ± 0.87 36.18 ± 1.31 / 67.86 ± 0.51 32.12 ± 2.08 / 67.30 ± 1.66 64.47 ± 2.31 / 40.89 ± 2.81 13.83 ± 1.91 / 41.53 ± 1.23 45.69 ± 1.76 / 72.13 ± 1.39 58.03 ± 1.37 / 73.17 ± 0.58 72.77 ± 1.02 / 57.29 ± 1.58 70.12 ± 0.78 / 74.54 ± 0.50 44.68 ± 0.97 / 71.05 ± 0.52 57.17 ± 2.60 / 80.36 ± 1.40 14.0.3 14.0.3 14.0.3 14.0.3 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 14.0.4 14.0.4 14.0.4 14.0.4 14.0.3 14.0.3 14.0.3 14.0.3 14.0.4 14.0.4 14.0.4 14.0.4 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 14.0.4 14.0.4 14.0.4 14.0.4
ZurichNLP/unsup-simcse-xlm-roberta-base 278 250 512 True 34,520 ± 7,443 / 6,730 ± 2,224 2.37 2.32 2.16 1.93 3.03 3.65 2.10 1.84 1.94 65.10 ± 1.65 / 61.96 ± 1.26 45.07 ± 1.23 / 63.33 ± 0.78 26.83 ± 11.38 / 60.41 ± 6.66 29.92 ± 1.25 / 35.05 ± 1.16 86.56 ± 1.18 / 87.30 ± 0.95 80.57 ± 1.55 / 83.03 ± 1.19 49.62 ± 2.72 / 62.56 ± 3.88 38.45 ± 15.28 / 67.14 ± 7.71 11.38 ± 7.59 / 51.68 ± 4.73 31.50 ± 2.41 / 47.61 ± 2.55 75.49 ± 1.09 / 74.57 ± 0.60 71.12 ± 0.90 / 60.88 ± 2.58 36.69 ± 15.58 / 65.77 ± 8.64 33.55 ± 2.07 / 38.90 ± 2.21 75.27 ± 1.18 / 76.85 ± 0.94 46.33 ± 1.12 / 62.80 ± 1.39 3.47 ± 1.14 / 47.14 ± 3.33 7.67 ± 0.80 / 32.31 ± 0.81 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 74.50 ± 1.06 / 74.21 ± 0.83 58.23 ± 1.13 / 72.00 ± 0.75 34.74 ± 14.22 / 64.18 ± 7.54 11.19 ± 3.07 / 26.81 ± 6.54 78.45 ± 1.88 / 83.50 ± 0.85 22.67 ± 7.22 / 44.07 ± 6.51 54.92 ± 9.62 / 76.14 ± 5.00 31.82 ± 2.84 / 40.85 ± 3.02 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 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 13.0.0 12.7.0 12.7.0 12.7.0 12.7.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
cardiffnlp/twitter-xlm-roberta-base 278 250 512 True 34,475 ± 7,465 / 6,712 ± 2,223 2.45 2.07 2.02 1.84 2.72 4.23 2.23 2.29 2.21 70.10 ± 1.16 / 64.54 ± 1.00 45.30 ± 2.03 / 63.22 ± 1.47 51.74 ± 2.53 / 74.31 ± 1.94 22.01 ± 2.50 / 27.76 ± 2.44 87.70 ± 0.66 / 85.32 ± 0.94 81.41 ± 1.46 / 77.41 ± 1.57 48.34 ± 2.10 / 60.68 ± 3.61 55.30 ± 2.89 / 75.77 ± 1.87 37.46 ± 2.69 / 67.68 ± 1.66 24.49 ± 6.03 / 35.93 ± 8.56 72.49 ± 1.68 / 67.03 ± 1.55 70.69 ± 1.08 / 67.03 ± 3.40 56.60 ± 3.25 / 76.70 ± 2.48 31.89 ± 1.88 / 37.63 ± 1.86 72.69 ± 0.79 / 73.57 ± 1.02 35.62 ± 1.32 / 55.40 ± 1.15 28.72 ± 5.29 / 60.29 ± 3.57 8.46 ± 0.51 / 31.01 ± 0.72 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 74.89 ± 0.86 / 73.54 ± 0.84 63.01 ± 1.50 / 75.21 ± 1.03 36.60 ± 2.17 / 64.93 ± 1.39 0.65 ± 0.25 / 5.05 ± 1.30 77.15 ± 1.38 / 81.92 ± 1.32 18.78 ± 6.76 / 37.09 ± 4.14 56.72 ± 3.83 / 77.53 ± 2.17 14.61 ± 4.26 / 20.91 ± 5.21 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.7.0 12.7.0 12.7.0 12.7.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 1,446 ± 354 / 295 ± 100 2.49 2.37 2.60 2.12 2.89 3.40 2.10 2.71 1.74 45.42 ± 2.88 / 32.66 ± 2.49 43.16 ± 1.69 / 54.53 ± 2.83 8.79 ± 3.23 / 38.38 ± 4.22 59.43 ± 1.04 / 64.55 ± 0.68 52.00 ± 1.91 / 43.55 ± 2.21 55.12 ± 3.14 / 45.34 ± 4.15 47.25 ± 4.11 / 64.53 ± 3.71 8.66 ± 4.12 / 38.87 ± 3.40 6.80 ± 1.59 / 39.72 ± 2.50 46.86 ± 3.27 / 70.86 ± 2.79 53.34 ± 2.55 / 40.48 ± 3.66 80.00 ± 0.70 / 79.80 ± 0.66 4.61 ± 2.18 / 34.51 ± 0.86 58.99 ± 1.05 / 64.65 ± 0.83 50.69 ± 3.67 / 41.90 ± 4.06 33.20 ± 1.84 / 48.48 ± 3.03 3.97 ± 2.04 / 48.88 ± 2.25 27.11 ± 3.11 / 51.14 ± 2.22 62.63 ± 3.44 / 57.85 ± 3.72 25.47 ± 3.14 / 45.73 ± 4.68 2.84 ± 1.84 / 42.62 ± 4.53 44.06 ± 1.93 / 60.40 ± 2.37 55.37 ± 1.32 / 44.65 ± 2.48 54.27 ± 1.71 / 68.13 ± 1.16 23.12 ± 4.07 / 57.81 ± 3.70 31.89 ± 3.29 / 59.77 ± 4.31 58.15 ± 1.14 / 40.78 ± 1.91 7.94 ± 1.25 / 31.02 ± 3.45 25.41 ± 3.46 / 61.11 ± 2.36 62.56 ± 1.10 / 73.16 ± 0.93 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 0.0.0 0.0.0 0.0.0 12.5.1 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.5.1 0.0.0 0.0.0 0.0.0 12.5.1 14.0.3 14.0.3 14.0.3 14.0.3 9.1.2 13.3.0 9.1.2 13.0.0 9.1.2 9.1.2 9.1.2 12.5.1 9.1.2 9.1.2 9.1.2 12.5.1 9.1.2 9.1.2 9.1.2 12.5.1
CohereForAI/aya-expanse-8b (few-shot) 8028 256 8192 False 1,018 ± 326 / 189 ± 73 2.50 2.16 2.58 2.07 3.39 3.32 2.03 2.67 1.78 51.32 ± 3.82 / 25.54 ± 2.10 52.00 ± 1.67 / 66.25 ± 1.77 18.48 ± 2.44 / 52.18 ± 4.28 52.43 ± 1.19 / 62.08 ± 0.60 66.55 ± 2.12 / 39.28 ± 3.45 63.63 ± 1.62 / 37.25 ± 3.49 38.61 ± 2.28 / 51.46 ± 2.62 15.80 ± 2.22 / 51.42 ± 3.79 12.30 ± 2.38 / 51.96 ± 3.31 43.26 ± 2.53 / 71.49 ± 2.01 57.38 ± 1.93 / 29.69 ± 4.23 78.43 ± 0.93 / 74.54 ± 2.40 14.52 ± 2.43 / 45.18 ± 4.21 53.14 ± 1.81 / 63.00 ± 0.50 28.98 ± 2.63 / 21.75 ± 1.89 19.83 ± 4.76 / 41.64 ± 3.64 4.93 ± 1.06 / 49.69 ± 2.65 24.72 ± 2.22 / 54.41 ± 1.43 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 61.29 ± 1.06 / 39.58 ± 2.31 59.19 ± 1.49 / 71.64 ± 1.07 33.31 ± 3.00 / 64.35 ± 2.80 22.29 ± 2.02 / 57.68 ± 1.78 62.07 ± 1.67 / 37.68 ± 1.28 11.09 ± 1.67 / 31.37 ± 1.35 35.14 ± 2.33 / 66.66 ± 1.50 49.15 ± 1.48 / 68.82 ± 0.68 67.33 ± 1.57 / 53.00 ± 0.88 68.67 ± 0.74 / 66.23 ± 0.49 31.18 ± 1.63 / 65.23 ± 0.69 68.33 ± 2.04 / 84.26 ± 1.04 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4
ibm-granite/granite-3.0-8b-base (few-shot) 8171 49 4097 True 973 ± 251 / 174 ± 59 2.50 2.19 2.49 2.06 3.69 3.31 2.03 2.42 1.84 44.58 ± 2.62 / 33.50 ± 2.75 47.16 ± 1.36 / 64.63 ± 1.18 19.20 ± 2.44 / 53.44 ± 4.36 58.41 ± 1.36 / 63.32 ± 0.89 49.94 ± 2.13 / 46.49 ± 2.00 52.17 ± 1.02 / 46.44 ± 2.72 53.27 ± 1.54 / 66.73 ± 1.31 17.22 ± 3.50 / 50.42 ± 5.01 12.01 ± 2.47 / 47.98 ± 4.37 45.04 ± 3.42 / 69.52 ± 2.79 44.80 ± 2.36 / 34.91 ± 2.67 75.92 ± 2.44 / 75.77 ± 2.08 24.84 ± 2.78 / 59.88 ± 4.08 56.71 ± 1.65 / 62.01 ± 1.64 37.82 ± 3.63 / 32.97 ± 3.97 2.60 ± 2.91 / 15.68 ± 0.75 -0.12 ± 1.31 / 33.78 ± 0.32 21.59 ± 2.22 / 47.09 ± 1.09 61.47 ± 1.57 / 58.60 ± 2.31 31.99 ± 3.03 / 50.94 ± 2.59 1.44 ± 1.85 / 34.71 ± 1.84 41.54 ± 1.49 / 58.90 ± 1.24 52.61 ± 1.79 / 42.68 ± 2.71 61.70 ± 1.45 / 74.22 ± 1.00 23.89 ± 4.13 / 57.16 ± 4.48 33.72 ± 1.25 / 62.41 ± 1.53 53.21 ± 1.37 / 42.13 ± 2.58 13.72 ± 2.18 / 39.38 ± 2.08 40.85 ± 4.16 / 67.34 ± 3.66 62.41 ± 0.99 / 74.19 ± 0.56 55.76 ± 2.15 / 52.69 ± 1.24 66.89 ± 1.09 / 69.50 ± 0.96 36.47 ± 2.07 / 67.43 ± 1.29 67.55 ± 1.46 / 80.25 ± 1.22 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4
CohereForAI/aya-23-8B (few-shot) 8028 256 8192 False 1,121 ± 288 / 205 ± 68 2.54 2.31 2.76 2.09 3.30 3.52 1.84 2.64 1.90 47.08 ± 3.39 / 32.34 ± 2.97 47.16 ± 1.21 / 63.47 ± 1.57 8.41 ± 2.40 / 37.31 ± 1.66 58.83 ± 0.73 / 63.96 ± 0.56 60.94 ± 2.30 / 53.33 ± 3.53 59.61 ± 1.37 / 50.84 ± 3.99 35.73 ± 1.26 / 50.42 ± 1.67 6.18 ± 1.69 / 35.40 ± 1.06 4.00 ± 1.01 / 36.17 ± 0.94 46.52 ± 2.15 / 71.95 ± 1.63 60.04 ± 1.22 / 43.93 ± 3.63 76.21 ± 0.85 / 67.87 ± 1.71 7.54 ± 2.52 / 35.42 ± 1.33 58.60 ± 0.59 / 63.65 ± 0.30 47.16 ± 2.83 / 38.60 ± 4.04 19.77 ± 6.04 / 34.40 ± 4.93 3.84 ± 1.27 / 40.06 ± 3.79 21.75 ± 2.21 / 48.25 ± 2.02 62.22 ± 2.10 / 58.79 ± 2.20 25.58 ± 9.25 / 44.11 ± 9.87 0.01 ± 2.43 / 37.74 ± 4.20 38.70 ± 1.22 / 54.70 ± 0.93 58.69 ± 1.32 / 45.79 ± 2.60 56.49 ± 2.69 / 70.39 ± 2.14 30.04 ± 2.28 / 62.58 ± 2.34 36.36 ± 1.07 / 66.01 ± 1.94 60.81 ± 1.94 / 46.59 ± 3.32 7.90 ± 1.63 / 24.82 ± 0.95 31.12 ± 2.35 / 64.29 ± 1.88 63.00 ± 1.23 / 74.60 ± 0.67 56.16 ± 3.59 / 51.12 ± 2.58 68.27 ± 0.53 / 60.37 ± 0.57 23.88 ± 2.16 / 60.87 ± 1.62 74.23 ± 1.31 / 85.11 ± 0.73 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4
ibm-granite/granite-3.0-8b-instruct (few-shot) 8171 49 4096 True 1,118 ± 302 / 184 ± 63 2.54 2.30 2.50 2.12 3.56 3.41 2.08 2.70 1.65 44.92 ± 3.05 / 32.65 ± 2.50 49.31 ± 1.35 / 66.02 ± 1.10 10.14 ± 2.87 / 44.99 ± 4.82 57.34 ± 0.99 / 63.24 ± 0.44 53.79 ± 1.52 / 46.58 ± 1.73 56.13 ± 0.91 / 47.13 ± 2.04 51.36 ± 2.53 / 66.19 ± 2.08 6.83 ± 2.54 / 38.36 ± 3.81 8.09 ± 2.03 / 41.05 ± 4.14 48.01 ± 2.52 / 73.03 ± 1.99 44.94 ± 2.91 / 35.67 ± 3.53 76.78 ± 1.63 / 78.27 ± 1.22 16.96 ± 2.77 / 55.03 ± 3.49 56.83 ± 1.02 / 63.13 ± 0.89 42.67 ± 3.13 / 35.40 ± 3.93 9.95 ± 3.78 / 30.20 ± 5.91 1.11 ± 1.45 / 34.61 ± 0.82 22.25 ± 2.78 / 49.58 ± 2.19 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 54.68 ± 1.38 / 46.36 ± 2.67 55.48 ± 2.67 / 69.91 ± 1.90 26.89 ± 0.86 / 62.51 ± 0.48 31.27 ± 1.89 / 62.30 ± 2.09 53.62 ± 2.29 / 40.51 ± 1.41 13.37 ± 1.25 / 36.94 ± 1.81 23.47 ± 1.79 / 60.17 ± 1.23 61.20 ± 1.02 / 72.98 ± 0.62 66.17 ± 1.74 / 57.76 ± 1.30 68.03 ± 0.81 / 69.65 ± 1.18 39.76 ± 2.51 / 69.54 ± 1.18 71.21 ± 1.53 / 84.07 ± 0.91 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 14.0.4 14.0.4 14.0.4 14.0.4
mistralai/Mistral-7B-v0.3 (few-shot) 7248 33 32768 True 1,364 ± 343 / 266 ± 90 2.55 2.32 2.67 2.13 3.04 3.52 2.10 2.82 1.81 43.60 ± 2.94 / 32.17 ± 2.26 45.92 ± 1.50 / 61.91 ± 1.50 15.43 ± 3.79 / 46.20 ± 5.54 59.13 ± 0.86 / 64.43 ± 0.58 50.56 ± 2.04 / 44.38 ± 1.85 52.65 ± 2.27 / 46.48 ± 3.65 44.61 ± 2.28 / 62.22 ± 2.10 12.10 ± 4.22 / 43.27 ± 5.24 9.30 ± 0.99 / 46.11 ± 3.47 45.15 ± 3.72 / 68.61 ± 3.30 49.18 ± 2.71 / 39.25 ± 3.60 79.08 ± 0.77 / 78.81 ± 0.94 11.06 ± 3.55 / 38.96 ± 3.77 58.98 ± 1.04 / 64.79 ± 0.79 46.73 ± 3.51 / 38.01 ± 4.18 34.59 ± 2.13 / 51.03 ± 3.22 1.90 ± 1.69 / 48.24 ± 2.70 25.17 ± 3.82 / 50.14 ± 2.43 61.32 ± 4.26 / 59.28 ± 4.43 23.30 ± 4.23 / 39.80 ± 3.89 1.30 ± 1.64 / 45.10 ± 3.27 44.98 ± 1.62 / 62.38 ± 1.68 55.41 ± 1.45 / 48.39 ± 1.46 52.58 ± 2.42 / 67.52 ± 1.82 24.10 ± 2.12 / 59.47 ± 2.92 31.52 ± 2.95 / 60.03 ± 3.81 56.52 ± 1.42 / 41.84 ± 1.84 7.02 ± 1.21 / 26.40 ± 2.96 23.41 ± 2.91 / 59.14 ± 3.11 61.90 ± 1.07 / 72.49 ± 1.05 61.02 ± 2.74 / 55.65 ± 2.55 67.29 ± 0.80 / 70.81 ± 0.84 30.10 ± 5.12 / 62.99 ± 4.71 73.59 ± 1.75 / 84.31 ± 1.35 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 14.0.3 14.0.2 14.0.3 14.0.3 12.10.4 13.3.0 12.10.4 13.0.0 12.10.4 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4 12.10.4 12.10.5
utter-project/EuroLLM-9B-Instruct (few-shot) 9152 128 4096 False 1,483 ± 321 / 379 ± 158 2.58 2.11 2.62 2.07 3.64 3.44 2.08 2.60 2.09 34.00 ± 2.69 / 25.49 ± 2.06 53.97 ± 1.21 / 68.40 ± 1.28 32.21 ± 4.81 / 56.97 ± 5.83 57.10 ± 0.99 / 63.73 ± 0.85 40.91 ± 2.56 / 33.22 ± 1.88 42.91 ± 2.34 / 35.61 ± 2.22 52.62 ± 2.01 / 68.10 ± 2.25 9.70 ± 4.22 / 36.58 ± 1.69 11.98 ± 2.76 / 39.37 ± 2.76 47.36 ± 4.28 / 72.71 ± 4.10 40.59 ± 1.98 / 28.19 ± 1.47 76.02 ± 2.40 / 77.86 ± 1.70 33.98 ± 5.90 / 57.44 ± 6.59 56.98 ± 0.58 / 63.97 ± 0.66 24.92 ± 3.54 / 23.09 ± 3.30 9.76 ± 7.16 / 26.68 ± 6.80 0.15 ± 0.29 / 33.01 ± 0.31 28.18 ± 1.51 / 54.08 ± 0.71 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 40.85 ± 2.21 / 34.64 ± 2.00 56.53 ± 2.49 / 69.48 ± 1.70 24.74 ± 4.45 / 56.60 ± 5.56 38.20 ± 1.47 / 67.94 ± 2.19 43.06 ± 1.89 / 30.50 ± 1.45 11.95 ± 2.25 / 33.40 ± 1.41 40.85 ± 3.31 / 68.94 ± 2.23 63.42 ± 0.63 / 74.62 ± 0.52 44.81 ± 2.07 / 39.51 ± 1.62 62.54 ± 2.18 / 68.78 ± 1.18 28.10 ± 4.55 / 62.46 ± 4.36 71.71 ± 2.21 / 84.31 ± 1.69 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 14.0.4 14.0.4 14.0.4 14.0.4 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.60 2.25 2.46 2.24 3.38 3.98 2.06 2.55 1.92 52.61 ± 1.77 / 33.64 ± 2.67 49.81 ± 1.43 / 66.32 ± 1.25 19.64 ± 1.63 / 54.22 ± 2.32 48.03 ± 1.24 / 57.94 ± 1.02 64.37 ± 2.17 / 52.81 ± 2.48 62.77 ± 0.83 / 51.80 ± 2.77 50.60 ± 4.90 / 66.76 ± 3.04 18.09 ± 2.04 / 52.56 ± 2.60 12.25 ± 2.18 / 50.79 ± 2.42 38.34 ± 2.39 / 69.54 ± 1.96 58.90 ± 1.34 / 42.48 ± 3.97 67.74 ± 2.79 / 71.89 ± 1.89 16.52 ± 2.55 / 46.30 ± 2.62 49.41 ± 1.21 / 59.91 ± 0.48 56.71 ± 1.98 / 46.71 ± 5.28 7.92 ± 3.63 / 32.79 ± 2.05 3.44 ± 2.02 / 50.18 ± 1.14 21.55 ± 2.79 / 54.79 ± 2.02 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 64.38 ± 1.60 / 50.26 ± 2.53 54.44 ± 1.45 / 69.32 ± 1.02 26.03 ± 2.23 / 61.88 ± 1.38 25.68 ± 2.81 / 62.48 ± 2.93 64.25 ± 2.23 / 46.52 ± 1.72 13.66 ± 1.99 / 39.45 ± 1.52 28.59 ± 1.48 / 61.24 ± 1.46 49.64 ± 0.86 / 68.04 ± 0.55 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
microsoft/xlm-align-base 278 250 512 True 14,744 ± 2,870 / 3,265 ± 1,053 2.64 2.36 2.01 2.19 2.94 4.19 2.15 2.68 2.62 70.36 ± 2.14 / 65.91 ± 2.15 47.83 ± 1.46 / 65.49 ± 0.96 11.87 ± 5.47 / 48.82 ± 4.15 29.87 ± 3.18 / 35.11 ± 2.73 90.07 ± 1.08 / 87.56 ± 1.39 85.65 ± 0.96 / 82.40 ± 1.16 54.46 ± 1.16 / 68.25 ± 0.76 12.16 ± 5.91 / 50.55 ± 4.73 8.99 ± 2.25 / 48.57 ± 3.67 49.24 ± 1.30 / 64.35 ± 1.24 78.60 ± 1.91 / 73.04 ± 2.25 73.67 ± 1.48 / 68.61 ± 3.14 15.41 ± 4.59 / 53.29 ± 3.93 32.41 ± 3.14 / 37.13 ± 3.07 78.01 ± 2.18 / 79.20 ± 2.10 38.76 ± 2.04 / 56.09 ± 2.02 5.92 ± 1.91 / 46.95 ± 3.38 10.47 ± 1.42 / 43.32 ± 3.55 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 79.38 ± 0.80 / 79.33 ± 0.74 58.58 ± 2.31 / 72.09 ± 1.64 15.34 ± 5.24 / 52.99 ± 1.90 16.58 ± 6.50 / 32.33 ± 11.35 78.85 ± 2.48 / 83.35 ± 2.28 11.80 ± 7.64 / 33.49 ± 6.73 14.56 ± 8.02 / 53.64 ± 5.14 42.08 ± 7.94 / 51.94 ± 9.08 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 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 2.67 2.32 2.57 1.97 3.47 3.78 2.29 3.03 1.93 42.43 ± 3.36 / 29.30 ± 2.53 47.82 ± 2.00 / 63.19 ± 2.09 16.51 ± 2.59 / 52.73 ± 3.91 56.95 ± 1.21 / 62.20 ± 0.83 48.97 ± 2.42 / 39.15 ± 2.78 51.52 ± 2.96 / 40.17 ± 3.62 49.05 ± 2.73 / 63.94 ± 2.42 14.37 ± 2.18 / 47.80 ± 4.36 9.96 ± 1.34 / 48.97 ± 3.77 44.07 ± 3.40 / 68.49 ± 2.97 44.14 ± 2.40 / 29.77 ± 4.06 80.14 ± 1.11 / 80.19 ± 0.78 34.23 ± 2.23 / 65.29 ± 2.17 57.07 ± 1.56 / 62.52 ± 1.11 36.47 ± 4.24 / 30.33 ± 3.70 16.08 ± 4.33 / 34.46 ± 4.77 2.54 ± 1.29 / 50.66 ± 0.62 18.66 ± 4.26 / 38.73 ± 3.66 58.96 ± 2.05 / 52.20 ± 2.50 15.18 ± 6.92 / 36.01 ± 7.24 0.00 ± 0.00 / 33.26 ± 0.34 39.20 ± 1.10 / 54.89 ± 1.25 50.66 ± 1.53 / 39.89 ± 2.43 54.79 ± 3.53 / 68.79 ± 3.00 20.17 ± 1.69 / 58.67 ± 1.13 27.86 ± 4.70 / 54.38 ± 5.91 54.56 ± 2.96 / 37.86 ± 2.49 8.43 ± 1.27 / 24.23 ± 0.94 10.99 ± 2.55 / 50.46 ± 4.17 55.91 ± 1.08 / 66.78 ± 1.13 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 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 13.3.0 12.5.3 12.5.3 12.5.3 13.3.0 12.5.3 13.0.0 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
Twitter/twhin-bert-base 279 250 512 True 11,514 ± 2,041 / 2,862 ± 918 2.69 2.43 2.52 1.99 3.02 4.15 2.24 2.94 2.20 60.01 ± 2.63 / 56.13 ± 2.46 42.17 ± 1.64 / 61.25 ± 1.45 29.43 ± 13.02 / 62.08 ± 7.77 29.79 ± 3.33 / 34.82 ± 2.83 84.11 ± 1.00 / 81.35 ± 1.22 77.22 ± 1.99 / 73.67 ± 2.26 37.02 ± 1.09 / 47.88 ± 2.50 35.42 ± 12.32 / 66.30 ± 6.78 6.87 ± 6.85 / 50.70 ± 3.62 25.98 ± 2.87 / 36.16 ± 3.35 70.17 ± 0.99 / 64.19 ± 1.42 66.62 ± 1.71 / 61.90 ± 2.61 46.72 ± 3.65 / 72.15 ± 2.62 31.38 ± 1.36 / 35.79 ± 1.33 70.38 ± 1.44 / 72.00 ± 1.13 40.22 ± 1.03 / 58.56 ± 1.02 11.09 ± 6.94 / 51.60 ± 5.19 7.67 ± 0.74 / 30.52 ± 0.52 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 70.35 ± 1.34 / 69.09 ± 1.36 55.03 ± 2.38 / 69.65 ± 1.75 43.87 ± 8.85 / 69.71 ± 6.73 2.81 ± 0.73 / 10.15 ± 2.34 74.03 ± 3.05 / 80.59 ± 2.24 9.53 ± 5.28 / 32.06 ± 4.17 39.12 ± 12.90 / 68.36 ± 6.85 7.71 ± 0.42 / 12.90 ± 0.39 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
ibm-granite/granite-8b-code-base-4k (few-shot) 8055 49 4096 True 2,313 ± 423 / 682 ± 210 2.70 2.52 2.73 2.28 3.61 3.55 2.28 2.74 1.86 48.44 ± 1.69 / 36.99 ± 1.77 39.07 ± 1.03 / 56.85 ± 1.91 9.72 ± 1.58 / 46.85 ± 3.66 51.18 ± 0.92 / 56.54 ± 0.69 68.40 ± 1.16 / 62.53 ± 1.69 65.15 ± 0.79 / 60.39 ± 2.11 42.00 ± 1.78 / 59.90 ± 1.22 5.20 ± 2.23 / 36.33 ± 1.30 3.32 ± 2.02 / 37.81 ± 3.26 37.51 ± 2.58 / 60.94 ± 3.06 59.77 ± 3.55 / 45.71 ± 4.91 74.45 ± 1.19 / 72.26 ± 0.89 3.97 ± 1.50 / 34.79 ± 0.80 50.18 ± 1.05 / 56.07 ± 0.89 50.89 ± 2.90 / 35.75 ± 4.67 9.18 ± 3.91 / 27.61 ± 4.83 0.50 ± 0.94 / 33.77 ± 0.30 17.43 ± 3.38 / 41.32 ± 3.18 66.82 ± 2.36 / 65.84 ± 2.35 26.68 ± 4.88 / 47.93 ± 2.75 -0.36 ± 1.67 / 37.57 ± 3.35 36.47 ± 0.96 / 51.89 ± 1.05 59.07 ± 0.78 / 51.00 ± 2.06 49.75 ± 2.44 / 65.93 ± 1.66 14.71 ± 2.21 / 53.75 ± 3.07 29.45 ± 2.13 / 56.14 ± 2.53 63.29 ± 2.51 / 52.18 ± 4.31 13.81 ± 1.66 / 36.99 ± 2.58 8.16 ± 1.97 / 44.29 ± 4.25 56.64 ± 0.68 / 66.29 ± 0.71 72.76 ± 0.57 / 67.49 ± 0.90 62.35 ± 1.68 / 67.34 ± 0.77 21.57 ± 2.22 / 59.22 ± 1.69 69.80 ± 3.60 / 81.37 ± 2.26 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 2,370 ± 416 / 711 ± 242 2.70 2.30 2.76 2.36 3.64 3.34 2.35 2.79 2.07 44.89 ± 2.46 / 29.13 ± 1.92 48.09 ± 1.00 / 65.40 ± 0.75 19.06 ± 2.34 / 58.77 ± 1.37 51.56 ± 1.16 / 60.81 ± 0.74 53.42 ± 2.48 / 42.63 ± 1.66 54.34 ± 1.93 / 41.06 ± 2.40 38.79 ± 2.56 / 53.72 ± 3.01 17.06 ± 1.53 / 56.51 ± 2.06 11.00 ± 1.00 / 53.26 ± 2.32 35.74 ± 2.44 / 64.27 ± 2.42 47.92 ± 2.66 / 33.00 ± 3.24 62.90 ± 2.44 / 70.61 ± 1.19 19.95 ± 2.24 / 56.49 ± 2.10 52.51 ± 0.36 / 61.42 ± 0.52 34.80 ± 1.37 / 24.03 ± 2.32 17.64 ± 3.40 / 40.55 ± 3.17 5.46 ± 1.31 / 51.42 ± 1.10 12.66 ± 2.33 / 45.06 ± 2.27 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 55.10 ± 1.35 / 41.89 ± 1.61 47.69 ± 2.35 / 64.93 ± 1.71 24.14 ± 2.09 / 60.83 ± 1.63 23.93 ± 2.11 / 57.64 ± 1.89 55.56 ± 2.66 / 39.56 ± 2.13 12.37 ± 1.64 / 37.37 ± 1.35 21.50 ± 1.70 / 59.10 ± 1.32 50.77 ± 0.95 / 66.54 ± 0.79 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 9.2.0 9.2.0 9.3.1 12.4.0 9.2.0 9.2.0 9.2.0 9.3.1 9.3.1 12.4.0 9.2.0 9.2.0 9.3.1 12.4.0 14.0.3 14.0.3 14.0.3 14.0.3 9.2.0 13.3.0 9.3.1 13.0.0 12.9.0 12.9.0 12.9.0 12.9.0 9.3.1 9.2.0 9.3.1 12.4.0 9.3.1 9.2.0 9.3.1 12.4.0
sentence-transformers/paraphrase-xlm-r-multilingual-v1 278 250 512 True 20,154 ± 4,438 / 3,890 ± 1,256 2.73 2.41 2.64 2.27 3.30 4.11 2.54 2.34 2.21 61.17 ± 2.09 / 58.41 ± 2.11 46.39 ± 1.25 / 63.97 ± 1.08 38.61 ± 1.86 / 67.08 ± 1.08 19.90 ± 1.09 / 25.77 ± 1.12 81.26 ± 1.25 / 77.69 ± 1.29 74.05 ± 1.72 / 69.84 ± 1.91 49.93 ± 1.46 / 62.37 ± 2.34 38.26 ± 7.56 / 66.01 ± 3.69 25.17 ± 5.32 / 61.27 ± 3.01 0.00 ± 0.00 / 0.00 ± 0.00 70.22 ± 1.49 / 63.97 ± 1.48 71.33 ± 1.20 / 65.44 ± 3.64 39.60 ± 5.87 / 66.60 ± 3.19 18.65 ± 1.15 / 24.75 ± 0.98 65.15 ± 1.02 / 67.50 ± 0.90 33.26 ± 1.68 / 52.59 ± 1.73 1.15 ± 1.57 / 49.60 ± 0.88 9.56 ± 0.42 / 27.88 ± 0.44 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 69.45 ± 0.82 / 68.02 ± 0.87 57.94 ± 2.12 / 71.92 ± 1.45 21.81 ± 12.05 / 58.13 ± 4.73 0.33 ± 0.15 / 3.03 ± 1.06 70.59 ± 1.60 / 78.25 ± 1.22 21.37 ± 8.79 / 40.62 ± 7.64 45.86 ± 2.06 / 71.32 ± 1.40 5.20 ± 0.30 / 10.40 ± 0.38 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 0.0.0 13.0.0 12.8.0 12.8.0 12.8.0 12.8.0 0.0.0 0.0.0 0.0.0 0.0.0 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 2.74 2.51 2.65 2.22 3.22 3.89 2.48 2.78 2.16 58.52 ± 1.78 / 55.04 ± 1.60 42.26 ± 1.13 / 61.41 ± 0.76 34.80 ± 5.89 / 64.51 ± 4.90 19.60 ± 1.60 / 25.68 ± 1.48 80.08 ± 1.46 / 75.93 ± 1.64 74.59 ± 1.98 / 70.26 ± 2.24 52.16 ± 0.99 / 66.79 ± 0.98 36.30 ± 6.44 / 65.52 ± 3.06 14.21 ± 6.44 / 52.78 ± 5.69 0.00 ± 0.00 / 0.00 ± 0.00 68.94 ± 1.53 / 62.54 ± 1.20 72.77 ± 0.89 / 68.13 ± 1.56 40.21 ± 2.53 / 67.11 ± 1.86 20.09 ± 1.31 / 25.99 ± 1.19 66.23 ± 1.24 / 67.76 ± 1.08 37.79 ± 2.49 / 56.10 ± 1.91 0.04 ± 0.78 / 45.96 ± 2.83 10.04 ± 0.99 / 28.66 ± 0.92 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 67.47 ± 1.09 / 66.34 ± 1.08 52.85 ± 1.53 / 68.48 ± 1.02 29.59 ± 6.40 / 60.98 ± 2.57 0.73 ± 0.17 / 4.35 ± 1.32 66.85 ± 1.32 / 72.84 ± 0.82 20.56 ± 1.44 / 39.67 ± 0.86 35.56 ± 1.76 / 66.00 ± 1.15 5.04 ± 0.46 / 10.13 ± 0.40 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.8.0 12.8.0 12.8.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 2.77 2.59 2.79 2.28 3.50 3.85 2.21 2.91 2.06 40.19 ± 2.55 / 29.73 ± 1.44 42.31 ± 1.55 / 59.29 ± 2.00 1.14 ± 1.22 / 33.83 ± 0.72 57.89 ± 1.16 / 63.95 ± 0.82 45.50 ± 2.71 / 40.02 ± 3.16 45.96 ± 2.67 / 41.28 ± 2.25 44.46 ± 3.40 / 62.00 ± 2.71 0.00 ± 0.00 / 33.41 ± 0.30 0.00 ± 0.00 / 33.86 ± 0.33 52.19 ± 2.88 / 74.97 ± 2.11 47.67 ± 2.81 / 36.91 ± 3.50 71.73 ± 2.40 / 74.97 ± 1.84 7.90 ± 3.20 / 41.24 ± 4.78 57.78 ± 0.79 / 64.48 ± 0.73 40.71 ± 2.93 / 34.57 ± 4.02 14.70 ± 7.78 / 36.09 ± 6.06 0.71 ± 2.00 / 36.90 ± 2.10 20.66 ± 3.67 / 45.91 ± 3.45 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 52.63 ± 1.89 / 42.99 ± 2.40 43.16 ± 4.45 / 57.79 ± 4.61 27.09 ± 1.92 / 60.29 ± 1.99 34.01 ± 4.01 / 63.29 ± 3.97 53.78 ± 1.86 / 41.29 ± 2.07 7.78 ± 1.43 / 24.33 ± 1.57 16.23 ± 2.49 / 55.09 ± 3.18 63.09 ± 1.18 / 73.88 ± 0.72 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 12.5.2 12.5.2 12.2.0 12.3.1 12.3.1 12.4.0 12.5.2 12.2.0 12.3.1 12.4.0 12.5.2 13.3.0 12.3.1 12.4.0 12.5.2 13.3.0 12.3.1 13.0.0 12.5.2 12.2.0 12.3.1 12.4.0 12.5.2 12.2.0 12.3.1 12.4.0 12.5.2 12.2.0 12.3.1 12.4.0
Twitter/twhin-bert-large 561 250 512 True 9,707 ± 1,664 / 2,549 ± 831 2.79 2.53 2.88 2.31 3.25 4.20 2.26 2.89 2.00 66.39 ± 1.42 / 62.24 ± 1.29 39.36 ± 3.13 / 58.64 ± 2.64 7.06 ± 6.11 / 49.71 ± 4.63 33.88 ± 4.27 / 38.42 ± 4.16 86.26 ± 0.71 / 83.48 ± 1.19 80.10 ± 2.44 / 76.17 ± 2.67 34.17 ± 2.42 / 43.74 ± 2.19 12.11 ± 10.47 / 50.33 ± 7.16 4.28 ± 4.18 / 45.75 ± 4.32 11.74 ± 10.45 / 16.38 ± 14.33 74.26 ± 1.65 / 68.20 ± 1.70 63.35 ± 5.43 / 60.33 ± 5.50 16.07 ± 10.73 / 52.48 ± 7.50 36.77 ± 3.78 / 41.72 ± 3.83 71.48 ± 1.97 / 73.71 ± 1.37 32.07 ± 2.95 / 50.25 ± 3.47 2.20 ± 2.00 / 43.42 ± 4.87 8.19 ± 0.76 / 33.02 ± 1.85 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 74.36 ± 1.33 / 73.61 ± 1.47 53.52 ± 2.28 / 68.49 ± 1.49 22.26 ± 11.63 / 58.51 ± 6.63 11.68 ± 4.11 / 22.54 ± 7.80 77.35 ± 2.80 / 82.50 ± 1.87 6.55 ± 5.33 / 28.68 ± 3.64 18.25 ± 8.41 / 54.00 ± 5.57 28.37 ± 4.84 / 36.84 ± 5.92 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.7.0 12.7.0 12.7.0 12.7.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
Geotrend/distilbert-base-25lang-cased 109 85 512 True 26,099 ± 5,881 / 5,178 ± 1,665 2.81 2.61 2.58 2.30 3.41 4.14 2.41 2.77 2.27 58.44 ± 2.08 / 55.32 ± 1.81 31.81 ± 1.65 / 53.25 ± 1.65 34.13 ± 2.81 / 65.98 ± 2.30 27.60 ± 1.58 / 32.18 ± 1.64 83.59 ± 1.36 / 80.55 ± 1.53 80.29 ± 1.02 / 76.08 ± 1.06 33.19 ± 1.75 / 46.63 ± 2.55 32.60 ± 6.93 / 65.19 ± 3.31 24.97 ± 6.47 / 61.39 ± 3.34 19.93 ± 1.76 / 30.69 ± 2.36 70.56 ± 1.36 / 64.49 ± 1.43 60.69 ± 0.46 / 56.69 ± 1.35 30.83 ± 1.47 / 63.39 ± 1.60 31.41 ± 1.05 / 36.45 ± 1.05 65.76 ± 0.98 / 68.15 ± 0.89 29.56 ± 1.49 / 50.69 ± 1.62 2.08 ± 1.89 / 48.68 ± 2.96 6.81 ± 0.33 / 30.96 ± 0.65 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 72.97 ± 0.68 / 71.83 ± 0.80 41.51 ± 1.91 / 60.79 ± 1.27 45.39 ± 1.52 / 71.60 ± 0.73 1.89 ± 0.52 / 6.88 ± 1.73 75.02 ± 1.48 / 81.57 ± 0.76 7.45 ± 2.99 / 29.70 ± 1.94 45.28 ± 0.55 / 71.89 ± 0.59 20.18 ± 1.26 / 27.86 ± 1.48 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
ibm-granite/granite-8b-code-instruct-4k (few-shot) 8055 49 4096 True 5,617 ± 995 / 1,623 ± 540 2.81 2.62 2.77 2.31 3.79 3.67 2.50 2.85 1.96 45.90 ± 2.53 / 33.00 ± 1.93 37.11 ± 1.88 / 56.47 ± 1.59 11.70 ± 2.16 / 50.31 ± 3.91 50.11 ± 0.83 / 55.71 ± 0.49 66.91 ± 1.50 / 54.98 ± 2.20 62.82 ± 1.23 / 53.14 ± 3.17 40.71 ± 1.63 / 59.35 ± 1.58 9.50 ± 1.68 / 46.31 ± 3.06 6.74 ± 1.70 / 42.10 ± 4.67 32.83 ± 1.83 / 55.30 ± 2.35 52.85 ± 2.76 / 35.11 ± 3.66 73.93 ± 1.58 / 73.97 ± 1.19 8.27 ± 2.90 / 43.29 ± 4.82 48.49 ± 0.77 / 54.50 ± 0.73 43.20 ± 3.61 / 32.10 ± 3.76 2.54 ± 2.60 / 17.05 ± 2.70 0.00 ± 0.00 / 33.69 ± 0.28 14.28 ± 2.94 / 38.21 ± 2.38 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 54.45 ± 1.17 / 42.36 ± 2.59 43.62 ± 3.18 / 59.82 ± 2.70 15.24 ± 1.87 / 55.49 ± 2.89 26.00 ± 2.28 / 51.82 ± 2.70 60.72 ± 2.14 / 45.52 ± 2.46 12.38 ± 1.62 / 29.91 ± 1.91 10.96 ± 1.47 / 47.97 ± 3.45 51.20 ± 0.91 / 61.75 ± 0.63 72.59 ± 0.91 / 65.83 ± 1.30 61.61 ± 1.45 / 67.09 ± 1.38 18.37 ± 2.07 / 56.26 ± 2.62 66.68 ± 3.56 / 78.95 ± 2.38 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 2.81 2.60 2.82 2.23 3.63 3.86 2.23 3.00 2.11 37.93 ± 3.09 / 29.50 ± 2.18 44.62 ± 1.98 / 62.62 ± 1.54 0.28 ± 0.54 / 33.48 ± 0.24 58.05 ± 1.02 / 62.89 ± 0.89 45.28 ± 3.06 / 41.73 ± 2.14 46.00 ± 4.26 / 42.96 ± 3.38 44.95 ± 3.19 / 61.88 ± 2.88 0.00 ± 0.00 / 33.41 ± 0.30 0.00 ± 0.00 / 33.86 ± 0.33 43.88 ± 4.07 / 66.65 ± 4.20 49.02 ± 3.23 / 41.69 ± 3.74 76.56 ± 1.52 / 78.16 ± 1.12 2.18 ± 2.34 / 36.26 ± 3.89 58.98 ± 0.95 / 63.65 ± 0.89 40.08 ± 2.82 / 37.15 ± 4.07 15.49 ± 6.74 / 34.45 ± 5.64 1.59 ± 1.86 / 39.93 ± 4.19 15.98 ± 3.74 / 39.67 ± 3.36 58.67 ± 3.95 / 58.47 ± 3.96 13.60 ± 5.67 / 34.63 ± 7.58 0.00 ± 0.00 / 33.26 ± 0.34 40.95 ± 1.80 / 55.82 ± 1.95 51.39 ± 1.35 / 44.47 ± 2.77 47.30 ± 4.44 / 62.28 ± 4.24 21.83 ± 1.98 / 57.05 ± 2.18 31.55 ± 3.67 / 60.39 ± 4.29 51.31 ± 2.32 / 42.95 ± 2.58 7.41 ± 1.24 / 26.93 ± 1.56 13.04 ± 1.93 / 53.54 ± 2.70 59.28 ± 1.15 / 69.67 ± 0.95 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 12.5.2 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0 12.5.2 13.3.0 12.1.0 12.1.0 12.5.2 13.3.0 12.1.0 13.0.0 12.5.2 12.1.0 12.1.0 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.82 2.49 2.79 2.33 3.71 3.85 2.45 3.02 1.95 37.93 ± 2.71 / 23.54 ± 1.99 44.49 ± 2.56 / 60.64 ± 3.00 14.09 ± 2.94 / 42.43 ± 3.30 51.38 ± 2.31 / 58.78 ± 1.27 50.08 ± 1.54 / 34.52 ± 1.17 51.27 ± 1.52 / 33.37 ± 2.37 43.65 ± 1.98 / 60.88 ± 1.36 14.09 ± 2.85 / 44.91 ± 3.95 8.28 ± 1.82 / 47.22 ± 3.72 37.23 ± 3.15 / 63.67 ± 2.98 45.01 ± 2.11 / 27.59 ± 3.35 73.33 ± 1.98 / 76.19 ± 1.59 11.59 ± 3.45 / 40.89 ± 4.15 52.12 ± 1.42 / 59.29 ± 1.17 36.04 ± 2.59 / 24.74 ± 2.79 12.93 ± 5.42 / 30.40 ± 3.15 -0.36 ± 1.36 / 33.94 ± 0.32 18.06 ± 3.16 / 42.57 ± 2.89 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 47.19 ± 3.74 / 33.02 ± 2.09 47.26 ± 3.14 / 63.48 ± 2.94 22.32 ± 1.78 / 56.73 ± 4.00 24.36 ± 3.78 / 54.61 ± 4.44 52.72 ± 2.58 / 33.51 ± 1.22 7.91 ± 2.16 / 27.82 ± 1.97 18.14 ± 2.10 / 55.42 ± 3.05 52.75 ± 0.88 / 67.15 ± 1.08 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 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.4.0 9.3.1 9.3.1 9.3.1 12.4.0 9.3.1 13.3.0 9.3.1 12.4.0 9.3.1 13.3.0 9.3.1 13.0.0 12.9.0 12.9.0 12.9.0 12.9.0 9.3.1 9.3.1 9.3.1 12.4.0 9.3.1 9.3.1 9.3.1 12.4.0
meta-llama/Llama-3.2-3B-Instruct (few-shot) 3213 128 131073 False 10,424 ± 2,641 / 2,081 ± 666 2.86 2.51 3.03 2.35 3.69 3.69 2.63 3.05 1.93 41.12 ± 3.39 / 32.50 ± 2.74 42.77 ± 2.76 / 54.70 ± 4.19 11.52 ± 3.01 / 49.37 ± 4.12 51.14 ± 1.03 / 60.18 ± 0.55 49.66 ± 1.79 / 39.31 ± 2.55 51.98 ± 1.55 / 42.48 ± 3.10 44.13 ± 2.80 / 60.09 ± 3.10 0.67 ± 1.18 / 33.81 ± 0.33 1.11 ± 0.93 / 33.03 ± 0.39 28.62 ± 4.16 / 56.91 ± 4.14 43.74 ± 2.58 / 34.37 ± 2.59 76.98 ± 1.31 / 71.38 ± 3.20 16.01 ± 2.24 / 51.83 ± 3.50 48.38 ± 1.78 / 57.83 ± 0.99 27.57 ± 1.71 / 22.52 ± 1.18 10.07 ± 5.45 / 28.32 ± 4.30 -1.39 ± 1.30 / 34.40 ± 1.96 22.98 ± 2.48 / 50.74 ± 1.59 58.24 ± 3.73 / 47.44 ± 4.83 13.76 ± 2.27 / 33.66 ± 4.22 1.77 ± 2.13 / 45.44 ± 4.00 45.13 ± 1.12 / 64.71 ± 0.74 55.52 ± 2.07 / 46.18 ± 2.32 50.52 ± 2.29 / 62.39 ± 2.63 9.87 ± 2.95 / 42.20 ± 3.60 20.20 ± 3.28 / 47.02 ± 5.20 43.66 ± 2.01 / 40.23 ± 1.75 12.87 ± 1.32 / 37.23 ± 1.55 17.94 ± 3.48 / 55.88 ± 3.97 47.77 ± 1.82 / 64.44 ± 1.35 68.44 ± 1.14 / 56.80 ± 2.31 66.00 ± 1.41 / 70.47 ± 1.02 32.04 ± 3.44 / 65.62 ± 1.88 49.54 ± 3.13 / 75.26 ± 1.64 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 2.91 2.51 3.01 2.51 3.65 3.93 2.58 3.02 2.06 35.44 ± 3.00 / 24.63 ± 1.65 44.88 ± 1.45 / 62.35 ± 1.33 9.74 ± 1.96 / 47.42 ± 4.19 55.04 ± 0.79 / 61.34 ± 0.81 44.99 ± 2.49 / 38.59 ± 2.84 49.09 ± 1.90 / 39.09 ± 4.02 41.56 ± 3.37 / 57.09 ± 3.80 3.04 ± 2.84 / 36.81 ± 2.42 4.03 ± 2.49 / 40.55 ± 4.14 33.77 ± 2.11 / 61.99 ± 2.34 39.72 ± 2.82 / 29.85 ± 2.99 66.18 ± 3.25 / 72.00 ± 1.75 6.74 ± 1.66 / 45.55 ± 4.31 54.05 ± 0.84 / 60.90 ± 0.82 41.10 ± 3.35 / 40.54 ± 3.19 13.59 ± 6.27 / 36.87 ± 4.51 -1.07 ± 2.09 / 44.83 ± 2.20 16.13 ± 2.52 / 39.51 ± 1.98 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 50.09 ± 1.33 / 38.59 ± 1.66 46.52 ± 2.85 / 63.64 ± 2.10 15.23 ± 1.71 / 55.08 ± 1.88 25.54 ± 3.58 / 56.07 ± 3.76 50.23 ± 2.34 / 37.12 ± 3.30 10.07 ± 1.84 / 35.66 ± 2.24 14.73 ± 1.62 / 54.59 ± 2.24 53.42 ± 0.80 / 66.24 ± 0.84 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 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.4.0 9.3.1 9.3.1 9.3.1 12.4.0 9.3.1 13.3.0 9.3.1 12.4.0 9.3.1 13.3.0 9.3.1 13.0.0 12.9.0 12.9.0 12.10.0 12.10.0 9.3.1 9.3.1 9.3.1 12.4.0 9.3.1 9.3.1 9.3.1 12.4.0
MaLA-LM/emma-500-llama2-7b (few-shot) 6738 32 4096 True 6,275 ± 1,193 / 1,755 ± 578 3.09 2.93 3.08 2.39 3.61 3.91 3.20 3.29 2.29 28.18 ± 3.39 / 24.25 ± 3.30 29.32 ± 7.19 / 41.08 ± 8.29 2.90 ± 2.18 / 37.93 ± 4.98 56.48 ± 1.11 / 62.92 ± 0.96 36.96 ± 3.10 / 34.68 ± 3.19 39.38 ± 3.30 / 37.06 ± 3.49 32.67 ± 2.52 / 44.37 ± 3.06 2.18 ± 2.36 / 38.05 ± 3.18 5.33 ± 2.97 / 44.30 ± 4.99 45.23 ± 5.03 / 67.75 ± 4.41 41.49 ± 2.82 / 38.09 ± 2.86 75.64 ± 1.51 / 76.06 ± 1.42 0.66 ± 1.97 / 33.73 ± 0.54 57.48 ± 0.54 / 63.85 ± 0.46 31.81 ± 1.93 / 29.47 ± 2.02 19.61 ± 6.74 / 33.96 ± 6.93 3.63 ± 1.69 / 44.49 ± 3.89 16.72 ± 7.29 / 46.83 ± 5.93 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 32.33 ± 2.48 / 30.20 ± 1.92 26.39 ± 5.23 / 36.06 ± 6.62 1.44 ± 1.38 / 33.60 ± 0.42 28.15 ± 5.57 / 54.13 ± 6.75 36.61 ± 3.37 / 31.91 ± 2.20 8.77 ± 1.80 / 25.31 ± 1.42 3.52 ± 2.07 / 35.34 ± 1.61 59.51 ± 0.97 / 70.33 ± 0.64 47.20 ± 3.39 / 44.00 ± 3.43 64.82 ± 1.13 / 67.11 ± 1.41 7.57 ± 2.31 / 45.83 ± 3.97 73.88 ± 1.02 / 83.56 ± 0.75 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 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 3.10 2.91 3.16 2.58 4.11 4.32 2.51 3.06 2.14 37.37 ± 2.46 / 26.81 ± 2.24 31.44 ± 1.82 / 48.96 ± 2.35 5.27 ± 2.40 / 40.63 ± 4.68 48.41 ± 1.10 / 55.05 ± 0.97 44.89 ± 2.26 / 34.93 ± 2.45 48.08 ± 1.68 / 34.39 ± 2.61 32.29 ± 1.15 / 51.91 ± 2.66 7.49 ± 1.65 / 47.79 ± 3.81 4.65 ± 1.91 / 45.75 ± 5.13 26.37 ± 1.51 / 47.59 ± 2.41 40.68 ± 2.32 / 24.33 ± 2.43 68.96 ± 2.04 / 72.76 ± 1.25 4.77 ± 1.97 / 43.64 ± 5.60 49.73 ± 0.76 / 56.63 ± 0.69 23.14 ± 2.08 / 23.09 ± 2.24 5.07 ± 2.69 / 27.01 ± 2.31 0.18 ± 1.67 / 33.93 ± 0.34 14.15 ± 2.49 / 36.10 ± 1.65 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 47.31 ± 1.67 / 31.36 ± 2.00 48.28 ± 4.28 / 64.07 ± 3.81 14.08 ± 1.29 / 52.67 ± 2.70 28.37 ± 4.07 / 55.92 ± 4.76 49.25 ± 2.57 / 36.48 ± 2.14 9.45 ± 1.76 / 39.66 ± 1.14 11.87 ± 2.68 / 47.32 ± 3.85 54.20 ± 1.44 / 67.04 ± 0.75 52.79 ± 4.09 / 43.45 ± 2.82 65.92 ± 1.02 / 70.47 ± 0.75 16.74 ± 2.67 / 55.45 ± 3.35 64.92 ± 2.84 / 80.88 ± 1.27 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 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 3.11 3.01 3.04 2.66 3.43 4.15 3.09 2.68 2.85 54.48 ± 2.16 / 52.85 ± 2.28 36.60 ± 1.60 / 56.93 ± 1.48 8.84 ± 5.33 / 51.76 ± 3.80 13.97 ± 1.75 / 19.76 ± 2.26 77.81 ± 0.76 / 74.83 ± 0.79 72.22 ± 0.95 / 68.32 ± 1.13 44.59 ± 1.89 / 59.87 ± 1.84 8.98 ± 3.55 / 52.49 ± 2.08 5.72 ± 3.29 / 50.40 ± 3.21 0.00 ± 0.00 / 0.00 ± 0.00 65.50 ± 1.20 / 59.72 ± 1.22 68.36 ± 1.18 / 63.94 ± 2.47 14.81 ± 6.63 / 55.50 ± 4.28 16.11 ± 1.18 / 22.88 ± 1.34 63.36 ± 0.96 / 65.24 ± 0.77 33.10 ± 1.86 / 52.77 ± 1.64 1.02 ± 0.94 / 47.05 ± 2.13 6.48 ± 0.37 / 27.44 ± 0.44 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 64.12 ± 0.92 / 62.50 ± 0.85 49.66 ± 1.68 / 66.33 ± 1.12 0.58 ± 1.23 / 49.27 ± 0.86 0.05 ± 0.06 / 0.36 ± 0.30 67.89 ± 1.61 / 74.48 ± 1.24 23.25 ± 6.95 / 44.88 ± 6.27 21.36 ± 7.80 / 59.50 ± 3.54 4.50 ± 0.39 / 9.94 ± 0.33 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
ibm-granite/granite-3b-code-base-2k (few-shot) 3483 49 2048 True 2,732 ± 868 / 662 ± 238 3.14 2.88 3.56 2.45 3.86 4.21 2.96 3.08 2.14 38.62 ± 3.40 / 27.71 ± 3.01 35.47 ± 1.35 / 52.70 ± 2.05 5.07 ± 1.76 / 43.91 ± 4.86 45.21 ± 0.84 / 50.96 ± 0.94 53.93 ± 3.93 / 48.95 ± 4.17 54.04 ± 1.83 / 49.74 ± 2.48 23.83 ± 3.47 / 45.39 ± 3.46 3.91 ± 1.46 / 42.54 ± 4.53 1.55 ± 2.39 / 40.63 ± 4.26 2.37 ± 0.20 / 12.14 ± 1.07 51.76 ± 4.53 / 41.73 ± 6.65 70.61 ± 1.12 / 60.47 ± 1.13 6.24 ± 3.11 / 46.34 ± 5.43 44.67 ± 1.34 / 50.56 ± 1.33 38.52 ± 3.25 / 28.84 ± 5.49 5.15 ± 4.46 / 21.10 ± 4.20 0.00 ± 0.00 / 33.69 ± 0.28 12.94 ± 2.60 / 36.06 ± 2.17 60.88 ± 2.03 / 60.02 ± 1.84 6.24 ± 4.69 / 31.19 ± 4.00 -0.35 ± 1.18 / 34.50 ± 1.25 18.54 ± 1.93 / 29.79 ± 1.35 49.38 ± 2.20 / 42.66 ± 3.24 41.72 ± 4.07 / 60.45 ± 3.07 7.67 ± 1.52 / 46.66 ± 3.23 13.70 ± 2.43 / 30.21 ± 3.80 50.88 ± 3.41 / 39.51 ± 3.29 12.39 ± 1.50 / 30.05 ± 1.80 3.31 ± 1.19 / 37.97 ± 4.40 48.44 ± 1.06 / 58.85 ± 0.75 60.64 ± 2.11 / 55.14 ± 2.01 61.20 ± 1.16 / 61.92 ± 1.68 7.63 ± 2.79 / 46.39 ± 3.79 69.83 ± 2.12 / 80.15 ± 1.27 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 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 3.19 2.92 3.22 2.57 4.10 4.36 2.85 3.23 2.27 37.21 ± 2.75 / 27.74 ± 2.59 31.54 ± 2.39 / 50.61 ± 2.88 6.30 ± 1.61 / 49.09 ± 2.54 44.86 ± 0.80 / 51.51 ± 0.91 53.78 ± 2.43 / 49.41 ± 2.56 55.14 ± 1.27 / 51.07 ± 1.78 26.21 ± 1.63 / 43.33 ± 1.46 3.90 ± 1.45 / 43.86 ± 4.21 2.42 ± 1.39 / 41.58 ± 3.89 24.86 ± 1.34 / 45.77 ± 1.85 50.10 ± 4.30 / 42.80 ± 5.47 65.67 ± 3.92 / 64.00 ± 3.84 4.55 ± 2.18 / 45.11 ± 4.32 42.83 ± 1.02 / 49.35 ± 1.09 33.57 ± 2.48 / 33.47 ± 2.48 0.60 ± 2.01 / 16.42 ± 1.16 0.00 ± 0.00 / 33.69 ± 0.28 11.27 ± 2.38 / 33.54 ± 1.64 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 49.16 ± 2.12 / 40.34 ± 2.81 35.17 ± 4.48 / 51.15 ± 4.55 9.79 ± 2.06 / 50.77 ± 3.64 22.48 ± 2.59 / 45.90 ± 3.03 48.53 ± 3.89 / 38.20 ± 2.92 10.15 ± 1.55 / 22.01 ± 1.44 4.88 ± 2.27 / 38.78 ± 3.56 45.38 ± 0.93 / 56.09 ± 1.05 58.30 ± 2.16 / 53.45 ± 1.98 59.01 ± 2.14 / 62.37 ± 1.73 10.33 ± 3.06 / 53.28 ± 2.21 65.04 ± 2.20 / 75.93 ± 1.50 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking 135 120 512 True 33,753 ± 8,349 / 5,937 ± 1,946 3.19 3.01 3.04 2.66 3.47 4.15 3.09 3.25 2.85 54.48 ± 2.16 / 52.85 ± 2.28 36.60 ± 1.60 / 56.93 ± 1.48 8.84 ± 5.33 / 51.76 ± 3.80 15.42 ± 1.70 / 21.36 ± 1.94 77.81 ± 0.76 / 74.83 ± 0.79 72.22 ± 0.95 / 68.32 ± 1.13 44.59 ± 1.89 / 59.87 ± 1.84 8.98 ± 3.55 / 52.49 ± 2.08 5.72 ± 3.29 / 50.40 ± 3.21 0.00 ± 0.00 / 0.00 ± 0.00 65.50 ± 1.20 / 59.72 ± 1.22 68.33 ± 1.03 / 64.03 ± 2.47 14.81 ± 6.63 / 55.50 ± 4.28 16.11 ± 1.18 / 22.88 ± 1.34 59.15 ± 1.28 / 61.27 ± 1.27 33.10 ± 1.86 / 52.77 ± 1.64 0.80 ± 1.69 / 45.59 ± 3.23 6.14 ± 0.74 / 28.02 ± 0.58 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 63.78 ± 0.75 / 62.34 ± 0.64 49.69 ± 1.56 / 66.32 ± 1.07 0.74 ± 0.83 / 48.97 ± 0.85 0.02 ± 0.02 / 0.20 ± 0.17 65.04 ± 1.07 / 70.94 ± 0.61 17.40 ± 6.56 / 39.25 ± 6.11 -0.95 ± 1.35 / 49.00 ± 0.64 3.94 ± 0.39 / 9.50 ± 0.40 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 0.0.0 13.3.0 0.0.0 13.0.0 12.8.0 12.8.0 12.8.0 12.8.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 118 250 512 True 29,201 ± 6,282 / 6,045 ± 2,027 3.19 2.64 2.81 2.45 3.51 4.09 3.02 4.05 2.93 56.75 ± 1.91 / 53.43 ± 1.87 44.48 ± 1.32 / 63.11 ± 0.83 26.74 ± 1.94 / 62.19 ± 1.84 17.89 ± 1.00 / 25.53 ± 1.05 78.31 ± 1.22 / 74.65 ± 1.36 72.13 ± 0.90 / 67.28 ± 1.09 47.53 ± 0.94 / 62.73 ± 1.07 26.92 ± 3.12 / 61.93 ± 2.04 14.63 ± 4.00 / 56.24 ± 2.51 0.00 ± 0.00 / 0.00 ± 0.00 66.50 ± 1.49 / 59.99 ± 1.40 72.19 ± 0.71 / 67.88 ± 2.34 28.75 ± 5.58 / 63.30 ± 2.60 15.91 ± 0.87 / 23.08 ± 0.95 62.44 ± 1.07 / 64.98 ± 0.92 31.32 ± 1.98 / 51.09 ± 1.51 1.91 ± 1.14 / 46.54 ± 2.46 3.69 ± 0.48 / 27.48 ± 0.49 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 60.54 ± 1.96 / 59.68 ± 1.94 54.99 ± 2.05 / 70.00 ± 1.37 0.52 ± 2.01 / 49.40 ± 1.06 0.80 ± 0.23 / 7.76 ± 2.10 59.61 ± 2.40 / 67.02 ± 1.16 0.00 ± 0.00 / 24.33 ± 0.14 -0.04 ± 1.84 / 48.65 ± 1.21 3.28 ± 0.31 / 9.04 ± 0.28 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.8.0 12.8.0 12.8.0 12.8.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
dbmdz/bert-base-historic-multilingual-cased 111 32 512 True 20,047 ± 4,407 / 3,844 ± 1,259 3.23 3.19 3.10 2.34 3.70 4.25 2.90 3.44 2.91 47.61 ± 1.71 / 45.91 ± 1.91 24.17 ± 1.92 / 43.75 ± 2.75 8.14 ± 3.76 / 51.78 ± 1.81 25.19 ± 1.29 / 30.51 ± 1.06 68.63 ± 1.64 / 64.83 ± 1.55 67.70 ± 2.68 / 63.70 ± 2.54 25.68 ± 2.17 / 41.65 ± 2.77 6.73 ± 5.40 / 48.20 ± 3.68 3.35 ± 2.61 / 47.52 ± 3.20 22.57 ± 1.57 / 34.64 ± 1.94 68.83 ± 1.00 / 63.29 ± 1.48 64.25 ± 1.66 / 63.62 ± 2.92 28.62 ± 9.43 / 59.33 ± 5.91 28.78 ± 2.01 / 34.26 ± 2.03 56.62 ± 0.57 / 59.34 ± 0.66 24.79 ± 3.07 / 45.25 ± 3.48 -1.21 ± 1.45 / 47.43 ± 1.67 6.01 ± 0.45 / 29.08 ± 1.30 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 65.35 ± 1.08 / 63.62 ± 1.05 37.77 ± 2.20 / 58.20 ± 1.43 16.07 ± 3.83 / 54.09 ± 2.44 5.67 ± 1.14 / 16.63 ± 2.52 56.69 ± 1.80 / 68.42 ± 0.85 9.29 ± 3.04 / 30.73 ± 2.40 3.02 ± 1.45 / 50.08 ± 1.17 22.14 ± 1.13 / 31.59 ± 0.96 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 0.0.0 13.3.0 0.0.0 13.0.0 12.8.0 12.8.0 12.8.0 12.8.0 12.6.1 12.6.1 12.6.1 12.6.1 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 3.33 3.10 3.52 3.02 3.70 4.43 2.91 3.10 2.86 41.09 ± 1.83 / 40.40 ± 1.82 27.33 ± 1.92 / 49.78 ± 1.38 21.58 ± 3.92 / 59.41 ± 2.63 20.68 ± 0.82 / 26.68 ± 0.91 49.92 ± 0.61 / 49.17 ± 0.71 44.37 ± 1.15 / 43.43 ± 1.21 19.81 ± 2.15 / 40.90 ± 2.60 8.64 ± 3.57 / 53.17 ± 1.93 3.11 ± 1.16 / 50.44 ± 0.73 15.89 ± 1.29 / 26.33 ± 2.41 38.36 ± 1.60 / 37.63 ± 1.73 59.00 ± 1.72 / 56.25 ± 1.72 19.40 ± 5.65 / 58.63 ± 3.13 19.23 ± 0.59 / 26.64 ± 0.90 29.71 ± 1.94 / 28.69 ± 1.97 36.28 ± 1.79 / 56.00 ± 1.23 2.71 ± 1.10 / 49.68 ± 1.24 6.50 ± 0.42 / 27.51 ± 0.99 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 49.95 ± 0.72 / 49.10 ± 0.71 40.29 ± 2.70 / 59.76 ± 1.78 25.88 ± 6.61 / 61.54 ± 3.28 2.59 ± 0.71 / 8.94 ± 2.03 49.54 ± 1.42 / 50.44 ± 1.10 14.86 ± 3.09 / 35.33 ± 1.77 27.90 ± 5.58 / 62.47 ± 3.34 20.65 ± 1.02 / 29.40 ± 1.29 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
ibm-granite/granite-3.0-3b-a800m-base (few-shot) 3374 49 4096 True 10,504 ± 3,028 / 1,678 ± 559 3.34 3.37 3.35 2.78 4.23 4.50 3.03 3.21 2.29 31.80 ± 2.87 / 23.06 ± 2.09 6.85 ± 2.25 / 19.42 ± 0.91 0.97 ± 1.10 / 36.48 ± 3.91 49.83 ± 1.73 / 55.19 ± 1.84 40.08 ± 2.60 / 33.17 ± 1.81 43.96 ± 1.65 / 32.96 ± 2.24 31.90 ± 1.50 / 53.03 ± 1.81 -0.07 ± 0.97 / 35.01 ± 1.42 1.27 ± 2.35 / 38.10 ± 4.51 23.32 ± 2.39 / 43.13 ± 3.33 36.01 ± 3.07 / 24.61 ± 4.22 57.18 ± 5.33 / 62.72 ± 5.30 1.52 ± 2.14 / 38.30 ± 3.62 51.04 ± 0.95 / 56.97 ± 0.96 18.07 ± 3.62 / 18.73 ± 2.54 1.67 ± 1.99 / 20.92 ± 3.22 -0.72 ± 1.22 / 33.96 ± 0.50 12.27 ± 2.81 / 30.66 ± 1.47 41.27 ± 4.31 / 40.85 ± 4.31 4.35 ± 3.94 / 26.17 ± 3.53 -0.20 ± 2.17 / 43.01 ± 3.39 19.69 ± 2.66 / 29.77 ± 2.80 40.61 ± 2.18 / 28.49 ± 2.11 31.86 ± 3.60 / 42.96 ± 3.98 5.36 ± 3.96 / 37.83 ± 4.03 25.99 ± 3.85 / 47.72 ± 4.74 42.52 ± 3.31 / 33.08 ± 2.70 9.91 ± 1.71 / 35.24 ± 2.62 0.69 ± 2.82 / 36.10 ± 2.58 56.95 ± 1.18 / 66.87 ± 1.37 49.44 ± 3.68 / 39.69 ± 2.34 66.65 ± 1.04 / 65.72 ± 1.32 12.56 ± 2.15 / 54.20 ± 3.42 63.29 ± 4.61 / 75.62 ± 3.79 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
openGPT-X/Teuken-7B-instruct-research-v0.4 (few-shot) 7453 251 4096 False 1,254 ± 328 / 243 ± 83 3.36 3.06 3.48 2.80 3.96 4.15 3.07 3.39 2.96 34.66 ± 1.19 / 21.37 ± 1.52 21.93 ± 3.72 / 31.67 ± 4.68 1.50 ± 1.04 / 33.84 ± 0.24 52.36 ± 0.70 / 60.53 ± 0.63 37.36 ± 1.61 / 24.19 ± 1.65 42.83 ± 1.41 / 28.06 ± 1.69 16.02 ± 6.40 / 30.81 ± 5.11 -0.08 ± 0.82 / 33.74 ± 0.41 2.29 ± 1.78 / 35.36 ± 1.11 31.60 ± 1.36 / 56.15 ± 1.66 35.02 ± 2.08 / 17.87 ± 0.89 51.80 ± 4.28 / 57.15 ± 4.66 6.15 ± 0.86 / 36.62 ± 0.84 50.85 ± 0.74 / 60.00 ± 0.48 28.74 ± 2.37 / 19.43 ± 1.48 4.30 ± 1.28 / 19.35 ± 2.86 0.06 ± 1.39 / 34.20 ± 1.30 17.41 ± 2.45 / 45.55 ± 1.65 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 39.39 ± 2.50 / 23.55 ± 1.34 23.60 ± 3.12 / 34.73 ± 3.27 7.68 ± 1.29 / 36.93 ± 0.75 25.30 ± 0.79 / 52.63 ± 1.81 39.24 ± 2.43 / 24.25 ± 1.34 4.25 ± 1.28 / 18.15 ± 3.08 11.48 ± 1.02 / 52.86 ± 2.43 54.18 ± 0.98 / 65.58 ± 0.62 50.73 ± 2.64 / 38.64 ± 1.60 27.52 ± 3.38 / 31.81 ± 3.98 2.96 ± 2.64 / 35.23 ± 1.82 63.42 ± 1.34 / 76.38 ± 1.18 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
utter-project/EuroLLM-1.7B-Instruct (few-shot) 1657 128 4096 True 15,009 ± 4,072 / 2,702 ± 878 3.42 3.05 3.34 2.76 4.29 4.74 3.14 3.47 2.60 19.61 ± 2.68 / 17.44 ± 2.64 37.92 ± 1.74 / 46.23 ± 1.91 2.81 ± 1.13 / 38.15 ± 2.81 50.05 ± 1.02 / 56.82 ± 0.77 31.43 ± 1.78 / 30.82 ± 2.35 36.92 ± 1.75 / 37.80 ± 1.67 30.63 ± 1.48 / 37.24 ± 1.90 0.98 ± 1.59 / 42.00 ± 2.28 1.67 ± 1.96 / 34.92 ± 1.93 33.24 ± 2.51 / 55.11 ± 2.82 27.41 ± 2.70 / 24.45 ± 3.82 72.24 ± 0.82 / 68.89 ± 2.63 0.13 ± 1.85 / 36.22 ± 3.14 49.77 ± 0.63 / 56.59 ± 0.54 13.29 ± 2.33 / 14.72 ± 2.11 6.83 ± 5.62 / 31.41 ± 4.70 0.92 ± 1.51 / 42.09 ± 3.39 7.49 ± 1.26 / 24.16 ± 1.95 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 28.49 ± 2.30 / 24.73 ± 1.76 43.18 ± 2.89 / 58.22 ± 3.50 2.92 ± 1.40 / 44.65 ± 3.51 23.26 ± 3.37 / 48.47 ± 3.57 32.45 ± 2.17 / 30.83 ± 2.31 7.03 ± 2.08 / 34.16 ± 1.83 5.58 ± 1.32 / 44.79 ± 3.28 51.18 ± 1.19 / 61.82 ± 1.19 37.47 ± 1.64 / 32.39 ± 2.53 58.61 ± 2.46 / 62.78 ± 1.22 5.30 ± 1.43 / 46.95 ± 3.51 63.26 ± 0.73 / 74.41 ± 0.65 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) 1711 49 8192 True 15,971 ± 3,654 / 3,609 ± 1,197 3.45 3.26 3.58 2.78 4.00 4.64 3.31 3.82 2.19 29.44 ± 1.81 / 20.31 ± 1.68 18.49 ± 2.47 / 35.29 ± 2.83 1.73 ± 1.63 / 38.18 ± 4.15 44.39 ± 0.80 / 50.40 ± 1.02 37.60 ± 2.17 / 29.30 ± 2.43 38.38 ± 2.48 / 30.13 ± 2.95 24.05 ± 3.58 / 40.36 ± 4.22 3.56 ± 1.93 / 38.60 ± 3.52 2.61 ± 2.57 / 38.57 ± 3.89 13.58 ± 3.16 / 25.34 ± 5.83 37.37 ± 1.87 / 26.31 ± 3.34 64.46 ± 3.06 / 69.83 ± 2.00 4.49 ± 1.96 / 46.63 ± 4.39 43.92 ± 1.06 / 49.57 ± 1.17 26.23 ± 3.53 / 23.26 ± 2.30 6.86 ± 5.25 / 23.96 ± 4.13 2.69 ± 1.42 / 45.61 ± 2.69 10.84 ± 2.59 / 28.57 ± 2.09 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 32.54 ± 1.57 / 26.92 ± 1.87 27.03 ± 2.54 / 42.80 ± 3.28 8.95 ± 1.62 / 51.86 ± 2.23 18.38 ± 1.26 / 39.18 ± 2.13 31.84 ± 3.39 / 28.66 ± 1.77 1.56 ± 3.25 / 28.78 ± 2.60 5.05 ± 1.34 / 43.99 ± 4.14 40.55 ± 0.77 / 48.56 ± 0.95 47.58 ± 2.41 / 39.52 ± 1.41 66.78 ± 0.76 / 61.52 ± 0.99 20.53 ± 3.83 / 58.47 ± 2.90 58.07 ± 2.23 / 69.96 ± 1.63 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
sentence-transformers/distiluse-base-multilingual-cased-v1 135 120 512 True 34,042 ± 8,482 / 5,951 ± 1,950 3.47 3.34 3.52 3.07 3.70 4.17 3.48 3.21 3.25 46.78 ± 1.50 / 44.41 ± 1.78 27.78 ± 2.22 / 49.38 ± 2.89 3.04 ± 1.85 / 46.85 ± 3.03 15.52 ± 0.98 / 23.22 ± 0.86 60.76 ± 1.53 / 58.35 ± 1.41 59.62 ± 1.19 / 55.90 ± 1.12 25.98 ± 1.33 / 40.58 ± 0.60 2.65 ± 2.08 / 48.09 ± 1.42 3.47 ± 1.47 / 48.98 ± 1.75 0.20 ± 0.09 / 0.82 ± 0.39 49.86 ± 1.85 / 44.53 ± 1.58 60.06 ± 1.30 / 55.65 ± 1.34 3.18 ± 1.63 / 48.38 ± 1.42 16.08 ± 2.60 / 23.46 ± 3.10 45.47 ± 2.05 / 47.67 ± 2.11 35.18 ± 2.10 / 55.52 ± 1.45 1.14 ± 1.81 / 48.47 ± 1.64 1.63 ± 0.33 / 21.45 ± 1.39 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 28.29 ± 6.50 / 27.54 ± 6.33 51.70 ± 1.63 / 67.81 ± 1.08 2.12 ± 2.30 / 49.13 ± 2.33 0.03 ± 0.05 / 0.69 ± 0.53 58.67 ± 1.07 / 68.27 ± 0.94 17.82 ± 4.47 / 37.11 ± 2.75 9.27 ± 4.66 / 52.04 ± 4.01 2.17 ± 0.34 / 8.02 ± 0.41 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 0.0.0 13.0.0 12.8.0 12.8.0 12.8.0 12.8.0 0.0.0 0.0.0 0.0.0 0.0.0 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 3.49 3.67 3.43 3.09 3.69 4.08 3.31 3.43 3.22 26.96 ± 1.31 / 25.63 ± 1.35 30.13 ± 2.10 / 46.78 ± 4.49 2.01 ± 1.29 / 48.79 ± 1.65 8.25 ± 1.03 / 16.49 ± 1.77 63.79 ± 2.11 / 67.14 ± 1.91 60.96 ± 1.11 / 64.65 ± 1.00 32.83 ± 1.48 / 43.32 ± 0.69 1.09 ± 1.93 / 48.72 ± 1.29 0.18 ± 1.93 / 47.30 ± 1.44 0.00 ± 0.00 / 0.00 ± 0.00 51.67 ± 1.46 / 53.62 ± 1.02 63.04 ± 0.70 / 56.50 ± 1.19 2.32 ± 1.83 / 48.77 ± 1.62 8.93 ± 1.00 / 17.75 ± 1.16 47.62 ± 2.97 / 50.59 ± 2.81 33.35 ± 1.84 / 53.45 ± 3.04 2.64 ± 2.11 / 49.47 ± 1.79 1.27 ± 0.46 / 12.20 ± 2.90 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 40.20 ± 3.20 / 40.33 ± 3.13 48.71 ± 1.60 / 65.32 ± 1.57 5.53 ± 1.92 / 51.10 ± 1.38 0.06 ± 0.06 / 1.12 ± 1.10 56.98 ± 1.37 / 66.91 ± 1.60 9.66 ± 4.65 / 31.17 ± 3.34 19.37 ± 4.34 / 56.74 ± 3.13 3.11 ± 0.37 / 7.91 ± 0.25 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 0.0.0 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
openGPT-X/Teuken-7B-instruct-commercial-v0.4 (few-shot) 7453 251 4096 True 1,438 ± 410 / 233 ± 79 3.54 3.28 3.51 3.26 4.01 4.23 3.46 3.65 2.96 29.49 ± 2.73 / 21.57 ± 2.07 13.77 ± 3.72 / 23.78 ± 3.10 0.00 ± 0.00 / 33.49 ± 0.27 51.53 ± 1.01 / 59.23 ± 0.88 34.78 ± 2.34 / 27.42 ± 1.71 39.00 ± 3.24 / 31.27 ± 2.29 10.69 ± 5.81 / 26.94 ± 3.14 6.17 ± 1.50 / 50.50 ± 1.78 5.90 ± 1.38 / 49.15 ± 2.88 31.25 ± 2.01 / 55.30 ± 2.29 37.17 ± 2.59 / 25.25 ± 1.61 20.20 ± 4.93 / 21.73 ± 5.47 6.13 ± 1.52 / 39.55 ± 1.91 46.66 ± 1.19 / 56.90 ± 1.10 26.58 ± 1.47 / 22.13 ± 2.38 -0.79 ± 2.98 / 26.06 ± 1.66 0.63 ± 1.36 / 43.80 ± 3.59 15.14 ± 2.49 / 44.23 ± 2.12 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 38.81 ± 2.72 / 27.14 ± 1.94 10.59 ± 3.02 / 21.22 ± 2.19 0.91 ± 1.67 / 33.45 ± 0.28 22.54 ± 1.17 / 48.13 ± 1.67 42.35 ± 2.49 / 29.29 ± 1.66 0.78 ± 0.93 / 8.63 ± 0.29 -0.02 ± 1.29 / 38.46 ± 1.55 47.61 ± 1.96 / 59.25 ± 1.42 44.48 ± 3.17 / 36.31 ± 2.23 23.69 ± 3.36 / 25.98 ± 3.59 8.52 ± 2.60 / 51.57 ± 2.62 56.97 ± 1.53 / 71.38 ± 1.28 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
sentence-transformers/distiluse-base-multilingual-cased-v2 135 120 512 True 33,247 ± 8,123 / 6,017 ± 1,977 3.55 3.67 3.43 3.09 3.64 4.15 3.31 3.90 3.22 26.96 ± 1.31 / 25.63 ± 1.35 30.13 ± 2.10 / 46.78 ± 4.49 2.01 ± 1.29 / 48.79 ± 1.65 8.22 ± 1.11 / 16.40 ± 1.79 63.79 ± 2.11 / 67.14 ± 1.91 60.96 ± 1.11 / 64.65 ± 1.00 32.83 ± 1.48 / 43.32 ± 0.69 1.09 ± 1.93 / 48.72 ± 1.29 0.18 ± 1.93 / 47.30 ± 1.44 0.00 ± 0.00 / 0.00 ± 0.00 51.67 ± 1.46 / 53.62 ± 1.02 62.71 ± 0.81 / 57.24 ± 1.73 2.32 ± 1.83 / 48.77 ± 1.62 8.76 ± 1.03 / 17.62 ± 1.24 48.62 ± 2.65 / 51.75 ± 2.37 34.19 ± 1.88 / 53.26 ± 3.44 2.64 ± 2.11 / 49.47 ± 1.79 1.22 ± 0.49 / 12.16 ± 3.00 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 41.82 ± 3.25 / 42.03 ± 3.15 49.38 ± 1.72 / 66.10 ± 1.17 4.77 ± 2.08 / 49.48 ± 2.07 0.05 ± 0.06 / 0.92 ± 0.55 49.82 ± 2.71 / 62.06 ± 1.69 2.70 ± 3.10 / 26.12 ± 2.40 6.60 ± 3.84 / 50.71 ± 1.92 2.13 ± 0.10 / 6.80 ± 0.37 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 0.0.0 13.0.0 12.8.0 12.8.0 12.8.0 12.8.0 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 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 3.58 3.59 3.75 2.72 4.08 4.69 3.52 3.83 2.49 24.47 ± 3.42 / 18.70 ± 2.18 9.93 ± 2.70 / 23.57 ± 3.00 1.22 ± 1.81 / 35.31 ± 1.93 42.09 ± 2.63 / 47.54 ± 2.94 26.70 ± 4.42 / 24.56 ± 2.10 28.23 ± 3.78 / 28.27 ± 2.80 23.25 ± 4.16 / 36.07 ± 4.20 -0.47 ± 1.05 / 33.93 ± 0.92 0.26 ± 0.74 / 33.32 ± 0.79 13.40 ± 2.83 / 26.51 ± 4.94 35.96 ± 3.50 / 26.41 ± 4.11 68.31 ± 1.43 / 72.51 ± 1.03 3.61 ± 1.79 / 49.47 ± 1.68 43.26 ± 1.85 / 49.32 ± 1.97 20.50 ± 4.51 / 18.93 ± 3.84 8.08 ± 2.30 / 27.38 ± 2.88 0.83 ± 1.65 / 45.84 ± 2.02 10.84 ± 2.45 / 28.36 ± 1.48 27.91 ± 4.97 / 30.98 ± 4.28 3.16 ± 1.14 / 23.85 ± 3.17 -0.48 ± 0.89 / 33.97 ± 1.00 16.56 ± 1.66 / 26.11 ± 1.42 28.67 ± 3.31 / 25.27 ± 2.68 19.69 ± 2.50 / 29.00 ± 2.22 5.07 ± 0.89 / 47.60 ± 2.39 18.43 ± 2.31 / 38.33 ± 2.91 22.84 ± 5.42 / 25.11 ± 3.52 4.60 ± 2.12 / 29.94 ± 1.50 2.55 ± 1.41 / 40.88 ± 3.15 40.33 ± 1.19 / 48.35 ± 1.31 41.57 ± 4.29 / 37.51 ± 3.05 62.32 ± 1.12 / 67.09 ± 0.96 8.04 ± 3.17 / 48.16 ± 5.38 56.01 ± 3.10 / 67.43 ± 2.41 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
PleIAs/Pleias-1.2b-Preview (few-shot) 1195 66 2048 True 10,756 ± 3,589 / 1,157 ± 670 3.70 3.27 3.84 3.23 4.08 4.72 3.60 3.60 3.22 28.30 ± 2.45 / 22.93 ± 1.82 29.87 ± 2.56 / 38.75 ± 2.17 1.08 ± 1.47 / 39.26 ± 4.67 36.39 ± 0.84 / 43.32 ± 0.77 38.96 ± 2.67 / 36.82 ± 3.28 40.42 ± 2.43 / 38.81 ± 2.83 17.73 ± 2.31 / 30.50 ± 1.59 1.50 ± 1.05 / 42.49 ± 3.93 1.19 ± 1.46 / 40.96 ± 4.07 4.70 ± 1.89 / 8.66 ± 3.16 36.29 ± 4.00 / 31.64 ± 3.95 43.31 ± 11.42 / 47.97 ± 7.92 1.76 ± 1.39 / 36.32 ± 2.61 32.64 ± 1.84 / 38.42 ± 1.95 22.56 ± 3.90 / 22.69 ± 3.50 4.55 ± 4.58 / 23.47 ± 3.83 0.96 ± 1.50 / 40.24 ± 3.70 11.77 ± 1.87 / 31.39 ± 2.24 38.91 ± 4.57 / 39.53 ± 3.74 -0.86 ± 1.99 / 16.64 ± 3.32 0.65 ± 1.57 / 39.51 ± 3.55 4.82 ± 3.70 / 7.41 ± 5.58 34.68 ± 3.56 / 30.00 ± 2.82 18.34 ± 4.59 / 33.99 ± 4.94 1.93 ± 1.94 / 46.12 ± 3.22 14.30 ± 0.97 / 30.11 ± 2.25 38.22 ± 3.45 / 35.62 ± 3.90 10.61 ± 0.65 / 23.58 ± 3.14 3.33 ± 1.86 / 41.46 ± 3.10 27.77 ± 1.34 / 36.19 ± 1.60 40.45 ± 3.27 / 37.90 ± 2.99 47.72 ± 3.58 / 56.94 ± 1.93 -1.04 ± 1.90 / 39.17 ± 3.50 26.77 ± 5.45 / 35.60 ± 6.25 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
3ebdola/Dialectal-Arabic-XLM-R-Base 278 250 512 True 12,783 ± 2,537 / 2,712 ± 885 3.78 3.71 3.80 3.46 3.66 4.42 3.67 3.89 3.66 36.51 ± 2.44 / 36.31 ± 2.71 22.07 ± 2.24 / 44.70 ± 3.72 1.63 ± 1.49 / 45.36 ± 3.07 3.09 ± 1.00 / 9.48 ± 1.61 55.55 ± 3.71 / 52.52 ± 3.51 53.53 ± 3.03 / 50.23 ± 3.00 12.69 ± 4.51 / 32.23 ± 3.53 2.79 ± 1.16 / 47.71 ± 2.00 1.66 ± 2.18 / 46.60 ± 2.87 0.00 ± 0.00 / 0.60 ± 0.72 42.78 ± 3.26 / 40.46 ± 3.04 44.95 ± 2.30 / 48.17 ± 1.06 1.43 ± 1.34 / 48.66 ± 2.45 8.71 ± 2.58 / 16.77 ± 2.50 46.95 ± 2.05 / 50.04 ± 1.99 20.94 ± 2.82 / 42.72 ± 2.88 1.40 ± 1.40 / 48.02 ± 2.05 10.48 ± 1.75 / 28.80 ± 1.59 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 30.18 ± 6.85 / 29.11 ± 6.64 32.66 ± 3.87 / 53.17 ± 4.09 2.10 ± 1.30 / 47.10 ± 2.29 0.46 ± 0.39 / 4.04 ± 2.36 44.46 ± 2.24 / 60.04 ± 1.09 8.39 ± 4.20 / 30.69 ± 2.83 2.07 ± 1.34 / 48.42 ± 1.31 4.30 ± 1.26 / 9.24 ± 1.13 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 13.3.0 12.6.1 13.0.0 12.8.0 12.8.0 12.8.0 12.8.0 0.0.0 0.0.0 0.0.0 0.0.0 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 3.83 3.83 3.84 3.60 4.04 4.41 3.68 3.89 3.37 33.62 ± 1.57 / 31.69 ± 1.40 20.71 ± 1.68 / 40.07 ± 2.65 1.19 ± 1.08 / 48.46 ± 1.34 4.19 ± 0.88 / 7.68 ± 1.59 46.11 ± 3.68 / 43.54 ± 3.44 35.18 ± 4.90 / 33.22 ± 4.64 19.19 ± 2.87 / 37.36 ± 1.97 2.76 ± 1.42 / 50.99 ± 0.83 0.42 ± 1.04 / 49.39 ± 0.80 0.00 ± 0.00 / 0.00 ± 0.00 26.87 ± 2.26 / 25.42 ± 2.14 57.41 ± 1.89 / 53.50 ± 0.75 -1.06 ± 1.33 / 48.72 ± 0.87 5.54 ± 1.44 / 10.83 ± 2.62 43.93 ± 1.57 / 46.59 ± 1.50 9.46 ± 4.02 / 28.69 ± 4.13 0.04 ± 1.75 / 47.53 ± 1.60 6.13 ± 0.63 / 21.73 ± 0.95 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 33.18 ± 2.13 / 32.48 ± 2.13 33.61 ± 2.23 / 55.01 ± 2.11 1.83 ± 1.54 / 49.40 ± 1.24 0.00 ± 0.00 / 0.00 ± 0.00 41.38 ± 2.82 / 56.29 ± 1.61 8.45 ± 2.80 / 29.85 ± 1.86 1.55 ± 1.97 / 49.24 ± 1.16 4.40 ± 0.22 / 6.62 ± 0.38 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 13.3.0 12.6.1 12.6.1 0.0.0 13.3.0 0.0.0 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
PleIAs/Pleias-3b-Preview (few-shot) 3212 66 4096 True 6,513 ± 1,241 / 1,282 ± 644 3.88 3.56 3.86 3.33 4.26 4.84 3.60 3.86 3.71 15.93 ± 3.91 / 14.68 ± 2.81 23.55 ± 2.61 / 43.37 ± 3.53 -0.40 ± 1.32 / 36.29 ± 3.11 36.85 ± 1.28 / 41.96 ± 1.64 28.82 ± 3.76 / 28.03 ± 3.72 27.81 ± 4.34 / 26.00 ± 4.14 19.88 ± 1.83 / 34.91 ± 3.15 -0.16 ± 1.68 / 41.17 ± 3.80 -2.47 ± 1.02 / 38.85 ± 3.64 12.66 ± 1.66 / 21.98 ± 3.16 21.42 ± 6.21 / 20.27 ± 5.32 52.35 ± 5.28 / 53.31 ± 4.13 0.46 ± 1.58 / 41.75 ± 3.77 32.71 ± 2.02 / 37.44 ± 2.20 18.86 ± 5.30 / 18.63 ± 4.20 8.31 ± 2.60 / 29.29 ± 3.82 -0.05 ± 1.44 / 46.60 ± 2.19 8.09 ± 1.59 / 26.19 ± 2.53 22.75 ± 5.63 / 23.52 ± 4.86 1.81 ± 3.98 / 23.54 ± 3.57 0.38 ± 1.31 / 44.56 ± 4.58 7.75 ± 1.53 / 12.38 ± 1.36 23.08 ± 4.90 / 21.68 ± 4.10 26.89 ± 6.20 / 46.94 ± 5.32 -1.05 ± 1.09 / 41.41 ± 3.74 17.32 ± 1.06 / 33.36 ± 2.38 31.13 ± 3.71 / 29.34 ± 2.26 3.52 ± 1.71 / 30.44 ± 3.71 -0.22 ± 1.05 / 43.79 ± 3.67 32.13 ± 0.85 / 39.28 ± 0.76 27.37 ± 4.57 / 26.50 ± 4.52 36.14 ± 7.74 / 45.63 ± 7.84 -1.97 ± 1.83 / 43.64 ± 2.89 7.42 ± 2.13 / 16.44 ± 2.71 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
PleIAs/Pleias-Nano (few-shot) 1195 66 2048 True 2,519 ± 841 / 323 ± 104 3.93 3.47 3.97 3.61 4.33 4.99 3.80 3.90 3.37 16.17 ± 3.44 / 14.33 ± 1.92 28.09 ± 2.78 / 37.30 ± 2.40 0.80 ± 0.76 / 34.34 ± 1.41 34.80 ± 1.08 / 41.23 ± 1.18 27.47 ± 4.87 / 27.10 ± 3.15 23.82 ± 4.37 / 27.33 ± 3.71 21.11 ± 1.62 / 32.51 ± 0.75 -0.20 ± 0.54 / 36.24 ± 2.88 0.22 ± 1.49 / 34.72 ± 1.86 2.48 ± 1.20 / 5.33 ± 1.94 14.09 ± 5.11 / 15.95 ± 3.72 32.88 ± 12.10 / 40.51 ± 7.40 0.55 ± 0.60 / 33.45 ± 0.32 32.00 ± 1.48 / 37.80 ± 1.63 9.90 ± 5.26 / 15.24 ± 2.90 4.38 ± 4.15 / 23.26 ± 3.74 -1.71 ± 0.98 / 38.48 ± 3.71 10.64 ± 2.56 / 31.31 ± 1.47 20.76 ± 6.32 / 22.79 ± 5.85 1.13 ± 2.59 / 18.15 ± 4.81 -0.53 ± 1.34 / 38.44 ± 3.34 3.58 ± 2.75 / 6.25 ± 4.69 24.32 ± 2.91 / 22.08 ± 1.97 24.51 ± 5.16 / 41.78 ± 5.86 1.26 ± 1.10 / 45.77 ± 2.88 6.82 ± 2.39 / 20.51 ± 3.06 23.58 ± 4.08 / 26.01 ± 4.43 8.26 ± 1.66 / 19.37 ± 4.54 0.01 ± 0.83 / 34.95 ± 2.53 26.11 ± 2.05 / 35.07 ± 1.64 21.60 ± 4.23 / 23.22 ± 3.33 45.04 ± 5.17 / 50.76 ± 4.28 -0.60 ± 0.87 / 34.57 ± 1.70 33.46 ± 2.84 / 44.25 ± 3.38 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
HuggingFaceTB/SmolLM2-360M (few-shot) 362 49 8192 True 22,023 ± 6,203 / 3,675 ± 1,231 4.07 4.00 4.19 3.94 4.53 4.90 3.89 4.02 3.08 12.68 ± 1.39 / 12.32 ± 1.19 3.61 ± 2.69 / 19.01 ± 3.95 1.79 ± 0.97 / 36.23 ± 3.19 28.12 ± 3.14 / 32.48 ± 3.57 26.60 ± 1.99 / 23.60 ± 2.05 23.70 ± 1.58 / 23.04 ± 2.17 6.21 ± 2.55 / 23.74 ± 3.28 -0.39 ± 0.76 / 33.40 ± 0.31 0.21 ± 0.41 / 35.33 ± 3.02 4.65 ± 1.00 / 10.23 ± 1.68 18.22 ± 1.75 / 17.97 ± 2.10 11.52 ± 7.20 / 29.30 ± 5.30 1.72 ± 1.21 / 34.96 ± 1.12 27.27 ± 3.03 / 31.25 ± 3.24 13.43 ± 1.36 / 13.81 ± 1.45 1.77 ± 3.85 / 25.49 ± 2.99 1.14 ± 1.52 / 36.93 ± 3.69 3.71 ± 1.14 / 16.21 ± 2.86 28.14 ± 2.42 / 28.12 ± 2.55 3.06 ± 3.94 / 28.82 ± 2.17 -0.06 ± 0.67 / 33.85 ± 0.68 2.43 ± 0.73 / 6.05 ± 0.59 19.94 ± 0.96 / 18.01 ± 0.59 19.64 ± 5.59 / 36.97 ± 5.41 0.00 ± 0.00 / 33.32 ± 0.30 8.78 ± 1.33 / 20.50 ± 1.50 20.95 ± 2.02 / 25.63 ± 1.96 6.84 ± 1.76 / 27.74 ± 5.49 -1.50 ± 1.30 / 34.07 ± 0.45 22.67 ± 1.77 / 30.14 ± 1.68 31.14 ± 1.79 / 28.54 ± 0.86 43.97 ± 5.28 / 55.08 ± 4.26 3.49 ± 2.49 / 46.52 ± 4.13 47.91 ± 4.97 / 60.41 ± 3.91 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) 362 49 8192 True 21,777 ± 6,115 / 3,617 ± 1,211 4.08 4.12 4.21 3.91 4.51 4.92 3.96 4.07 2.92 8.97 ± 3.18 / 8.62 ± 2.72 2.66 ± 2.70 / 16.29 ± 2.34 1.65 ± 1.38 / 44.50 ± 3.21 24.92 ± 1.68 / 28.73 ± 1.90 20.37 ± 5.55 / 21.57 ± 3.57 21.27 ± 5.10 / 22.34 ± 4.41 7.60 ± 2.24 / 26.47 ± 2.89 1.31 ± 1.92 / 45.75 ± 3.36 0.51 ± 1.81 / 38.71 ± 2.95 4.80 ± 1.18 / 10.53 ± 2.12 13.64 ± 5.84 / 16.38 ± 4.06 9.34 ± 6.26 / 26.00 ± 3.56 2.20 ± 1.59 / 41.62 ± 3.37 26.06 ± 2.35 / 30.05 ± 2.29 13.60 ± 1.50 / 13.99 ± 1.39 3.12 ± 4.92 / 27.55 ± 4.21 0.28 ± 1.41 / 37.58 ± 4.34 4.09 ± 1.03 / 16.34 ± 2.86 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 18.77 ± 3.96 / 18.65 ± 3.26 12.59 ± 3.85 / 22.64 ± 2.25 1.64 ± 1.30 / 34.84 ± 2.12 9.27 ± 1.07 / 21.58 ± 1.37 15.68 ± 5.54 / 22.21 ± 5.42 6.73 ± 2.20 / 27.67 ± 4.00 0.63 ± 1.05 / 43.48 ± 2.98 19.73 ± 1.42 / 27.47 ± 1.35 30.73 ± 4.30 / 29.47 ± 4.10 59.51 ± 3.73 / 54.82 ± 2.43 1.55 ± 1.90 / 43.18 ± 5.08 49.03 ± 1.47 / 60.00 ± 1.53 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
PleIAs/Pleias-350m-Preview (few-shot) 353 66 2048 True 10,242 ± 3,432 / 1,335 ± 484 4.15 3.92 4.14 3.72 4.59 4.88 3.85 4.24 3.83 13.84 ± 1.95 / 13.12 ± 1.60 14.35 ± 2.29 / 30.27 ± 3.16 0.64 ± 1.13 / 40.10 ± 4.84 22.10 ± 2.03 / 26.85 ± 2.16 26.59 ± 2.14 / 26.61 ± 2.49 26.78 ± 1.46 / 26.94 ± 1.92 11.04 ± 2.79 / 26.03 ± 2.69 -0.15 ± 1.81 / 37.94 ± 4.04 0.39 ± 0.75 / 40.15 ± 4.70 0.65 ± 0.40 / 2.88 ± 1.01 22.09 ± 2.91 / 21.86 ± 2.85 33.63 ± 11.18 / 41.43 ± 7.35 0.59 ± 0.94 / 37.25 ± 4.09 21.60 ± 1.52 / 26.25 ± 1.48 17.73 ± 1.58 / 18.22 ± 1.53 1.92 ± 1.72 / 21.73 ± 3.24 -1.34 ± 1.68 / 40.11 ± 4.04 1.59 ± 0.83 / 12.57 ± 3.10 31.99 ± 3.53 / 32.31 ± 3.75 0.22 ± 2.92 / 16.38 ± 3.08 0.67 ± 1.54 / 43.16 ± 3.51 0.29 ± 0.29 / 0.89 ± 0.74 25.30 ± 2.32 / 24.21 ± 2.13 17.44 ± 3.68 / 31.10 ± 3.93 0.72 ± 0.95 / 34.73 ± 1.58 6.12 ± 0.63 / 15.65 ± 1.66 24.47 ± 2.03 / 26.64 ± 2.70 5.47 ± 3.09 / 22.58 ± 6.19 -1.52 ± 0.81 / 37.56 ± 3.95 10.18 ± 1.78 / 17.17 ± 2.17 31.79 ± 3.88 / 31.32 ± 2.81 18.45 ± 9.77 / 33.15 ± 6.93 -0.28 ± 1.49 / 40.66 ± 3.99 12.35 ± 1.80 / 21.93 ± 1.63 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
PleIAs/Pleias-Pico (few-shot) 353 66 2048 True 2,331 ± 787 / 301 ± 97 4.20 4.10 4.17 3.81 4.55 5.00 3.97 4.26 3.72 10.59 ± 2.24 / 10.29 ± 1.37 7.35 ± 4.15 / 22.63 ± 4.31 0.73 ± 1.22 / 41.27 ± 4.70 16.61 ± 2.60 / 20.46 ± 2.96 25.02 ± 2.09 / 25.54 ± 2.29 21.59 ± 3.84 / 21.51 ± 4.17 8.64 ± 3.04 / 23.90 ± 3.87 0.09 ± 1.03 / 39.03 ± 4.72 0.55 ± 0.67 / 37.42 ± 3.41 0.37 ± 0.29 / 2.47 ± 0.84 16.28 ± 4.73 / 16.34 ± 4.84 26.98 ± 10.16 / 37.60 ± 6.58 0.60 ± 1.43 / 38.74 ± 4.35 17.78 ± 2.45 / 22.13 ± 2.29 13.80 ± 3.19 / 14.46 ± 3.19 2.66 ± 3.26 / 22.80 ± 3.75 -1.45 ± 0.92 / 38.65 ± 3.89 1.29 ± 0.69 / 10.96 ± 2.80 22.55 ± 5.84 / 22.62 ± 6.04 0.80 ± 1.84 / 17.47 ± 4.21 1.62 ± 2.20 / 43.44 ± 4.85 0.27 ± 0.26 / 0.91 ± 0.72 21.03 ± 2.96 / 21.02 ± 2.73 17.02 ± 3.53 / 32.70 ± 3.69 0.62 ± 0.78 / 33.97 ± 1.00 3.61 ± 0.37 / 11.45 ± 1.56 21.32 ± 2.14 / 22.20 ± 2.65 4.83 ± 2.76 / 18.20 ± 3.90 0.70 ± 1.17 / 35.71 ± 2.88 9.38 ± 1.20 / 15.78 ± 1.26 27.45 ± 4.13 / 27.11 ± 3.47 27.24 ± 8.04 / 39.08 ± 6.46 0.32 ± 0.85 / 43.07 ± 3.37 15.62 ± 2.29 / 26.76 ± 1.43 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
fresh-xlm-roberta-base 278 250 512 True 2,214 ± 94 / 1,494 ± 229 4.23 4.12 4.13 3.91 4.24 4.64 4.16 4.57 4.09 16.04 ± 2.47 / 15.60 ± 2.62 17.37 ± 3.82 / 36.83 ± 4.86 1.34 ± 0.97 / 35.45 ± 3.20 1.58 ± 0.51 / 6.64 ± 1.56 25.49 ± 3.39 / 23.54 ± 3.23 25.94 ± 1.70 / 24.10 ± 1.64 12.60 ± 2.97 / 32.27 ± 3.43 0.50 ± 1.27 / 36.93 ± 4.00 1.83 ± 1.64 / 37.67 ± 4.40 0.00 ± 0.00 / 0.00 ± 0.00 11.91 ± 3.04 / 11.31 ± 2.90 51.11 ± 5.32 / 50.09 ± 3.33 0.86 ± 0.82 / 39.16 ± 3.63 2.00 ± 0.63 / 7.20 ± 1.68 17.34 ± 1.13 / 16.43 ± 1.26 25.25 ± 3.12 / 44.40 ± 4.52 -0.06 ± 0.99 / 36.73 ± 3.00 1.02 ± 0.30 / 21.61 ± 1.10 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 8.03 ± 1.35 / 8.63 ± 1.36 23.44 ± 7.21 / 42.87 ± 7.78 -0.17 ± 1.13 / 39.21 ± 4.70 0.00 ± 0.00 / 0.00 ± 0.00 13.09 ± 1.68 / 16.25 ± 2.85 0.92 ± 2.11 / 25.39 ± 1.86 1.93 ± 1.37 / 40.76 ± 4.83 0.26 ± 0.09 / 2.70 ± 1.10 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 0.0.0 0.0.0 13.3.0 0.0.0 13.0.0 12.6.1 12.6.1 12.6.1 12.6.1 0.0.0 0.0.0 0.0.0 0.0.0 12.6.1 12.6.1 12.6.1 12.6.1
HuggingFaceTB/SmolLM2-135M (few-shot) 135 49 8192 True 26,346 ± 7,812 / 4,082 ± 1,372 4.33 4.20 4.16 4.24 4.52 4.95 4.41 4.54 3.63 13.72 ± 1.83 / 13.41 ± 1.52 3.79 ± 3.11 / 21.06 ± 4.74 -0.45 ± 0.70 / 39.69 ± 4.95 14.69 ± 2.86 / 17.28 ± 3.01 24.37 ± 2.17 / 26.91 ± 2.28 24.69 ± 1.85 / 27.60 ± 2.48 8.84 ± 4.19 / 29.74 ± 3.45 -1.20 ± 1.10 / 36.09 ± 3.06 -0.50 ± 1.21 / 36.68 ± 3.16 0.16 ± 0.13 / 2.31 ± 0.44 19.15 ± 1.75 / 20.52 ± 1.77 -3.03 ± 7.40 / 24.39 ± 3.87 0.06 ± 1.12 / 36.05 ± 2.59 14.18 ± 3.82 / 16.55 ± 4.25 14.74 ± 2.42 / 16.01 ± 2.04 2.10 ± 3.52 / 23.56 ± 3.05 -0.25 ± 0.60 / 34.69 ± 3.02 1.35 ± 0.73 / 10.92 ± 2.52 25.51 ± 2.40 / 26.43 ± 1.77 -0.56 ± 3.05 / 25.36 ± 4.29 0.46 ± 1.43 / 36.19 ± 3.30 0.15 ± 0.20 / 3.01 ± 0.44 16.89 ± 1.62 / 16.63 ± 1.80 2.74 ± 3.46 / 23.30 ± 3.11 -0.34 ± 1.06 / 39.21 ± 4.13 0.28 ± 0.27 / 2.91 ± 0.92 17.49 ± 2.94 / 18.59 ± 2.66 2.01 ± 1.88 / 15.88 ± 1.32 -0.02 ± 0.15 / 34.86 ± 2.12 0.53 ± 0.36 / 3.23 ± 0.51 31.26 ± 3.84 / 30.44 ± 3.28 26.69 ± 10.82 / 34.46 ± 8.00 1.78 ± 1.67 / 43.50 ± 3.99 13.88 ± 1.36 / 22.49 ± 2.14 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) 135 49 8192 True 25,602 ± 7,583 / 3,953 ± 1,325 4.36 4.24 4.37 4.19 4.56 4.93 4.36 4.58 3.68 12.11 ± 1.07 / 11.48 ± 1.07 2.61 ± 3.22 / 18.95 ± 3.93 0.25 ± 1.87 / 39.65 ± 4.00 14.02 ± 2.56 / 16.74 ± 2.74 20.89 ± 2.55 / 22.28 ± 2.32 19.62 ± 1.91 / 21.82 ± 2.35 2.78 ± 4.25 / 26.17 ± 3.37 -0.98 ± 1.80 / 40.63 ± 4.03 0.93 ± 2.26 / 40.91 ± 4.95 0.15 ± 0.13 / 2.19 ± 0.57 17.09 ± 2.33 / 18.78 ± 2.11 7.41 ± 9.32 / 28.42 ± 3.18 0.47 ± 1.48 / 38.19 ± 3.61 11.73 ± 3.22 / 13.94 ± 3.48 13.70 ± 2.05 / 15.01 ± 2.07 3.01 ± 2.55 / 22.58 ± 2.22 -0.83 ± 0.71 / 32.99 ± 0.27 0.94 ± 0.54 / 10.22 ± 2.52 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 15.54 ± 1.74 / 15.29 ± 1.88 2.51 ± 1.90 / 21.27 ± 3.22 0.36 ± 1.07 / 39.04 ± 3.21 1.77 ± 0.67 / 5.69 ± 0.96 15.82 ± 3.13 / 16.46 ± 2.61 -0.62 ± 1.55 / 16.18 ± 1.88 1.16 ± 1.38 / 34.30 ± 1.27 3.25 ± 1.17 / 5.89 ± 0.97 29.96 ± 3.19 / 28.98 ± 3.29 18.64 ± 8.52 / 28.83 ± 5.86 1.85 ± 1.20 / 44.03 ± 3.98 26.90 ± 1.56 / 36.91 ± 1.53 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
ssmits/Falcon2-5.5B-multilingual (few-shot) 5465 65 8192 True 7,692 ± 1,423 / 1,960 ± 644 4.78 4.68 4.61 4.75 4.85 5.33 4.63 4.84 4.56 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 18.12 ± 0.19 0.00 ± 0.00 / 33.25 ± 0.23 0.02 ± 0.02 / 0.03 ± 0.03 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 9.59 ± 0.29 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 0.09 ± 0.03 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 19.16 ± 0.14 0.00 ± 0.00 / 33.30 ± 0.27 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 18.79 ± 0.22 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.02 ± 0.01 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 13.62 ± 0.62 0.00 ± 0.00 / 33.40 ± 0.34 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 17.05 ± 0.35 0.00 ± 0.00 / 33.34 ± 0.31 0.00 ± 0.00 / 0.02 ± 0.01 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 8.62 ± 0.30 0.00 ± 0.00 / 33.34 ± 0.31 0.00 ± 0.00 / 0.01 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 19.61 ± 0.22 2.48 ± 1.94 / 34.52 ± 0.85 0.01 ± 0.02 / 0.03 ± 0.02 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
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