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layout title
leaderboard
Mainland Scandinavian NLU 🇩🇰🇳🇴🇸🇪
Last updated: 11/01/2025 11:04:17 CET
Include merged models
Model ID Parameters Vocabulary size Context Commercial Speed Rank Danish Rank Norwegian Rank Swedish Rank DANSK Angry Tweets ScaLA-da ScandiQA-da NorNE-nb NorNE-nn NoReC ScaLA-nb ScaLA-nn NorQuAD SUC3 SweReC ScaLA-sv ScandiQA-sv 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
AI-Sweden-Models/roberta-large-1160k 355 50 512 True 14,014 ± 2,384 / 3,625 ± 1,146 1.33 1.37 1.34 1.29 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 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
gpt-4-0613 (few-shot, val) unknown 100 8192 True 597 ± 197 / 93 ± 33 1.34 1.29 1.48 1.24 64.94 ± 1.96 / 45.76 ± 3.31 59.97 ± 2.65 / 73.06 ± 1.77 71.56 ± 2.49 / 85.36 ± 1.29 56.43 ± 2.98 / 68.46 ± 1.64 81.16 ± 2.46 / 63.39 ± 4.07 75.75 ± 4.49 / 60.44 ± 5.46 72.72 ± 3.20 / 81.35 ± 2.22 77.30 ± 2.97 / 88.39 ± 1.60 57.18 ± 3.91 / 76.40 ± 2.66 47.50 ± 2.86 / 75.24 ± 1.32 76.86 ± 1.89 / 54.97 ± 4.44 79.19 ± 1.87 / 80.56 ± 1.82 80.93 ± 1.67 / 89.90 ± 0.93 53.81 ± 1.28 / 65.15 ± 1.11 0.0.0 0.0.0 0.0.0 12.9.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.9.0 0.0.0 0.0.0 0.0.0 12.9.0
ltg/norbert3-large 354 50 508 True 5,048 ± 824 / 1,354 ± 429 1.35 1.51 1.08 1.46 73.62 ± 1.06 / 68.91 ± 1.04 48.29 ± 2.60 / 64.67 ± 2.10 71.55 ± 1.81 / 85.17 ± 1.13 48.59 ± 1.35 / 53.54 ± 1.23 93.12 ± 0.83 / 90.13 ± 1.02 89.39 ± 0.52 / 86.03 ± 0.65 64.62 ± 1.36 / 75.40 ± 0.97 77.97 ± 3.04 / 88.19 ± 1.89 76.30 ± 1.56 / 87.68 ± 0.86 66.03 ± 1.19 / 79.64 ± 1.09 79.01 ± 1.13 / 73.76 ± 1.48 75.32 ± 1.55 / 69.39 ± 3.64 69.11 ± 1.50 / 84.32 ± 0.70 48.88 ± 0.87 / 54.15 ± 0.83 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/roberta-large-1350k 355 50 512 True 5,744 ± 969 / 1,539 ± 492 1.38 1.47 1.35 1.31 75.22 ± 1.64 / 71.57 ± 1.50 49.94 ± 3.25 / 65.66 ± 2.73 72.59 ± 1.38 / 85.58 ± 0.97 48.97 ± 1.22 / 54.79 ± 1.18 92.49 ± 0.81 / 92.58 ± 0.61 87.22 ± 1.19 / 88.71 ± 1.02 58.77 ± 3.69 / 69.56 ± 4.55 76.30 ± 2.09 / 87.19 ± 1.40 64.11 ± 5.18 / 80.68 ± 3.72 60.69 ± 1.15 / 75.73 ± 1.06 82.97 ± 0.98 / 81.14 ± 1.14 77.37 ± 1.25 / 73.57 ± 3.43 73.81 ± 4.60 / 86.33 ± 2.48 49.50 ± 1.32 / 55.34 ± 1.33 10.0.1 10.0.1 10.0.1 10.0.1 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
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.42 1.27 1.66 1.32 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 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
meta-llama/Meta-Llama-3-70B (few-shot, val) 70554 128 8192 True 312 ± 55 / 177 ± 51 1.43 1.44 1.56 1.30 63.62 ± 3.74 / 53.29 ± 3.38 60.19 ± 3.31 / 73.13 ± 2.17 50.07 ± 5.86 / 72.94 ± 4.16 60.97 ± 2.76 / 66.71 ± 2.27 75.31 ± 3.84 / 64.90 ± 4.05 75.94 ± 4.62 / 62.81 ± 5.25 66.74 ± 4.50 / 74.89 ± 3.69 59.82 ± 3.52 / 79.17 ± 2.10 47.56 ± 3.52 / 71.91 ± 1.79 60.87 ± 4.82 / 82.30 ± 2.52 74.61 ± 2.99 / 56.50 ± 6.30 78.61 ± 1.40 / 78.64 ± 1.53 63.20 ± 3.34 / 80.61 ± 2.52 61.98 ± 1.65 / 66.85 ± 1.42 12.7.0 12.6.1 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
gpt-4o-2024-05-13 (few-shot, val) unknown 200 128000 True 916 ± 329 / 114 ± 38 1.49 1.46 1.69 1.33 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 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
danish-foundation-models/encoder-large-v1 355 50 512 True 6,671 ± 1,380 / 1,497 ± 482 1.51 1.41 1.54 1.59 74.60 ± 1.94 / 69.95 ± 2.01 51.42 ± 2.30 / 67.07 ± 1.97 76.11 ± 1.17 / 87.41 ± 0.67 47.42 ± 1.86 / 53.06 ± 1.68 88.66 ± 1.23 / 84.60 ± 1.44 84.59 ± 1.98 / 80.07 ± 2.11 55.59 ± 10.43 / 67.82 ± 9.45 71.43 ± 1.67 / 84.61 ± 1.15 53.30 ± 13.11 / 74.52 ± 7.96 57.38 ± 1.41 / 72.48 ± 1.49 74.18 ± 2.01 / 68.89 ± 2.46 75.11 ± 1.19 / 74.74 ± 0.94 64.11 ± 3.27 / 81.63 ± 1.66 46.79 ± 1.61 / 52.40 ± 1.77 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
KennethEnevoldsen/dfm-sentence-encoder-large-1 355 50 512 True 6,245 ± 1,260 / 1,416 ± 453 1.53 1.42 1.51 1.66 74.99 ± 1.65 / 70.34 ± 1.50 53.85 ± 1.39 / 68.94 ± 1.19 75.71 ± 1.95 / 87.29 ± 1.14 44.85 ± 4.12 / 50.40 ± 4.01 86.39 ± 1.06 / 85.20 ± 0.97 83.22 ± 1.44 / 82.50 ± 1.19 59.61 ± 1.28 / 71.40 ± 1.68 67.88 ± 7.37 / 82.75 ± 4.57 62.44 ± 4.39 / 80.43 ± 2.39 55.69 ± 1.60 / 70.77 ± 1.64 71.65 ± 1.55 / 69.08 ± 1.45 74.92 ± 0.98 / 72.01 ± 2.31 63.43 ± 2.30 / 81.00 ± 1.37 46.20 ± 1.03 / 51.94 ± 0.92 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
KennethEnevoldsen/dfm-sentence-encoder-large-2 355 50 512 True 6,569 ± 1,320 / 1,492 ± 476 1.54 1.38 1.55 1.68 75.30 ± 1.02 / 70.13 ± 1.50 55.12 ± 1.58 / 69.99 ± 1.09 76.34 ± 2.35 / 87.56 ± 1.48 45.15 ± 3.33 / 50.82 ± 3.13 86.78 ± 0.95 / 85.37 ± 0.78 83.28 ± 1.29 / 82.22 ± 1.30 58.73 ± 2.31 / 70.10 ± 2.66 70.73 ± 3.19 / 84.71 ± 1.82 59.58 ± 7.22 / 78.86 ± 3.51 56.04 ± 1.56 / 71.02 ± 1.42 71.86 ± 1.73 / 69.05 ± 1.65 74.67 ± 1.43 / 71.15 ± 3.57 62.77 ± 3.14 / 80.75 ± 1.67 44.77 ± 3.06 / 50.58 ± 2.94 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
claude-3-5-sonnet-20241022 (zero-shot, val) unknown unknown 200000 True 193 ± 87 / 55 ± 19 1.56 1.38 1.87 1.44 65.88 ± 2.11 / 55.11 ± 1.59 63.61 ± 1.57 / 76.00 ± 1.07 71.03 ± 2.52 / 85.46 ± 1.24 46.24 ± 1.37 / 59.56 ± 1.25 74.23 ± 1.86 / 70.66 ± 2.97 70.50 ± 2.19 / 65.71 ± 2.34 50.92 ± 2.29 / 63.00 ± 1.71 76.10 ± 3.28 / 88.02 ± 1.64 72.03 ± 2.05 / 85.28 ± 1.07 40.57 ± 1.42 / 67.69 ± 0.75 70.22 ± 2.34 / 58.75 ± 1.43 77.70 ± 2.39 / 77.22 ± 2.00 74.34 ± 2.79 / 87.04 ± 1.39 49.32 ± 1.33 / 60.05 ± 0.93 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
google/rembert 576 250 256 True 11,736 ± 2,822 / 2,102 ± 677 1.56 1.66 1.54 1.47 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-3.1-405B-Instruct-FP8 (few-shot) 405869 128 131072 True 799 ± 246 / 112 ± 38 1.57 1.29 2.11 1.31 71.94 ± 1.37 / 61.59 ± 1.44 61.26 ± 1.20 / 73.27 ± 0.95 64.94 ± 1.80 / 81.65 ± 1.13 56.00 ± 2.32 / 66.00 ± 1.23 82.44 ± 1.19 / 81.86 ± 1.20 82.17 ± 0.89 / 82.07 ± 1.38 40.55 ± 0.50 / 40.35 ± 0.39 63.91 ± 1.57 / 79.76 ± 1.13 45.93 ± 1.97 / 67.09 ± 1.85 45.33 ± 1.59 / 73.27 ± 1.24 76.27 ± 1.55 / 73.77 ± 1.72 80.70 ± 0.46 / 79.67 ± 0.67 68.85 ± 1.48 / 83.10 ± 0.95 56.41 ± 2.22 / 66.31 ± 1.05 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 560 250 512 True 6,732 ± 1,273 / 1,633 ± 523 1.59 1.60 1.72 1.46 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
google/gemma-2-27b-it (few-shot) 27227 256 8193 True 1,516 ± 257 / 480 ± 148 1.61 1.52 1.81 1.51 59.94 ± 1.58 / 38.00 ± 1.88 59.06 ± 0.91 / 72.86 ± 0.56 58.57 ± 2.19 / 78.63 ± 1.31 57.48 ± 0.75 / 65.60 ± 0.65 67.35 ± 2.33 / 56.75 ± 3.04 66.61 ± 1.81 / 57.24 ± 4.35 67.14 ± 1.22 / 78.63 ± 0.96 64.66 ± 1.38 / 81.94 ± 0.79 52.49 ± 2.01 / 75.95 ± 1.15 44.85 ± 2.17 / 73.41 ± 1.61 62.59 ± 2.04 / 45.11 ± 4.50 80.73 ± 0.52 / 81.25 ± 0.57 61.37 ± 2.06 / 79.34 ± 1.59 58.76 ± 1.03 / 66.73 ± 0.59 13.0.0 13.0.0 13.0.0 13.0.0 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
NbAiLab/nb-roberta-base-scandi 278 250 512 True 15,079 ± 2,948 / 3,359 ± 1,091 1.63 1.73 1.56 1.61 73.28 ± 1.37 / 68.37 ± 1.73 52.08 ± 1.06 / 67.98 ± 0.77 67.99 ± 2.28 / 83.02 ± 1.44 32.39 ± 0.87 / 37.27 ± 0.79 92.24 ± 0.44 / 89.66 ± 0.60 87.58 ± 0.68 / 84.23 ± 0.85 59.98 ± 1.33 / 71.70 ± 1.69 70.18 ± 1.41 / 83.83 ± 0.91 70.81 ± 1.50 / 84.45 ± 0.95 44.27 ± 1.46 / 58.30 ± 1.82 80.02 ± 1.62 / 74.04 ± 1.75 76.21 ± 1.60 / 73.41 ± 2.08 71.92 ± 1.07 / 85.01 ± 0.74 33.80 ± 0.78 / 38.58 ± 0.70 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
microsoft/mdeberta-v3-base 279 251 512 True 20,637 ± 3,925 / 4,497 ± 1,502 1.63 1.74 1.66 1.48 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ltg/norbert3-base 124 50 508 True 11,405 ± 1,970 / 2,856 ± 917 1.66 1.94 1.30 1.74 73.26 ± 1.37 / 67.83 ± 1.48 43.94 ± 1.37 / 61.91 ± 0.97 51.62 ± 15.51 / 73.99 ± 9.26 40.70 ± 0.86 / 45.68 ± 0.80 92.36 ± 0.55 / 89.79 ± 0.73 88.49 ± 0.97 / 85.45 ± 1.21 59.73 ± 2.46 / 70.77 ± 3.26 74.40 ± 2.03 / 86.34 ± 1.28 68.85 ± 3.21 / 83.17 ± 2.09 57.67 ± 1.86 / 72.51 ± 1.52 78.21 ± 0.92 / 72.63 ± 0.98 71.05 ± 1.70 / 70.72 ± 2.74 56.02 ± 2.92 / 77.31 ± 1.61 42.52 ± 1.02 / 47.31 ± 0.99 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-3.1-70B-Instruct (few-shot) 70554 128 131072 True 1,409 ± 457 / 186 ± 63 1.66 1.44 2.16 1.37 68.57 ± 0.95 / 50.90 ± 2.30 60.52 ± 1.22 / 72.91 ± 1.05 57.57 ± 0.79 / 78.54 ± 0.46 54.33 ± 1.19 / 63.94 ± 0.72 80.05 ± 0.87 / 67.79 ± 1.90 80.67 ± 0.92 / 69.11 ± 3.29 40.65 ± 0.45 / 40.56 ± 0.29 56.42 ± 1.70 / 76.10 ± 1.29 38.21 ± 3.25 / 64.61 ± 2.89 49.22 ± 2.20 / 74.92 ± 1.35 72.16 ± 1.93 / 50.59 ± 2.82 81.69 ± 0.62 / 81.33 ± 0.85 63.97 ± 1.73 / 81.83 ± 0.85 57.99 ± 1.26 / 66.35 ± 0.76 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
NbAiLab/nb-roberta-base-scandi-1e4 278 250 512 True 15,074 ± 2,990 / 3,347 ± 1,080 1.67 1.83 1.53 1.64 72.16 ± 2.09 / 68.01 ± 1.69 51.70 ± 1.98 / 67.54 ± 1.47 62.03 ± 11.56 / 80.01 ± 5.70 29.95 ± 2.38 / 35.36 ± 1.79 92.09 ± 0.51 / 89.67 ± 0.54 86.85 ± 1.94 / 83.35 ± 2.01 59.84 ± 1.40 / 72.11 ± 1.25 73.33 ± 2.17 / 85.89 ± 1.29 71.06 ± 1.62 / 84.78 ± 1.05 43.67 ± 1.71 / 57.42 ± 1.56 79.90 ± 1.41 / 73.80 ± 1.53 76.20 ± 1.16 / 74.01 ± 2.34 73.62 ± 1.17 / 86.19 ± 0.80 32.38 ± 1.23 / 37.12 ± 1.20 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
FacebookAI/xlm-roberta-large 560 250 512 True 17,897 ± 3,921 / 3,463 ± 1,141 1.70 1.72 1.75 1.62 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 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-3.5-turbo-0613 (few-shot, val) unknown 100 4094 True 921 ± 293 / 113 ± 37 1.70 1.59 2.02 1.50 61.31 ± 2.34 / 49.86 ± 2.18 52.52 ± 2.05 / 68.10 ± 1.35 57.63 ± 2.80 / 77.01 ± 1.83 57.03 ± 1.95 / 65.51 ± 1.48 77.70 ± 2.64 / 68.71 ± 2.97 73.92 ± 2.53 / 67.96 ± 2.67 58.88 ± 3.23 / 71.00 ± 2.87 54.29 ± 4.27 / 73.02 ± 3.26 32.82 ± 3.43 / 56.05 ± 4.14 45.35 ± 2.97 / 73.47 ± 1.69 73.04 ± 2.74 / 61.64 ± 3.63 72.77 ± 2.64 / 72.56 ± 2.45 58.06 ± 3.84 / 76.06 ± 2.51 58.02 ± 2.11 / 66.84 ± 1.38 12.9.0 12.9.0 12.9.0 12.9.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 12.9.0 0.0.0 0.0.0 0.0.0 12.9.0
sentence-transformers/use-cmlm-multilingual 471 501 512 True 30,231 ± 8,171 / 4,863 ± 1,598 1.70 1.86 1.68 1.57 69.17 ± 2.07 / 65.80 ± 1.78 48.03 ± 0.74 / 65.34 ± 0.40 55.31 ± 2.29 / 76.29 ± 1.57 42.34 ± 3.05 / 47.57 ± 3.10 90.08 ± 0.76 / 87.12 ± 1.08 86.04 ± 0.78 / 81.89 ± 0.98 56.35 ± 1.25 / 69.31 ± 1.02 59.38 ± 2.52 / 78.02 ± 1.71 46.54 ± 3.21 / 71.78 ± 2.00 55.05 ± 1.24 / 70.46 ± 1.22 80.05 ± 1.13 / 74.21 ± 1.26 75.09 ± 1.30 / 72.93 ± 2.37 61.83 ± 1.28 / 79.96 ± 0.82 45.69 ± 1.11 / 51.07 ± 1.04 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
KennethEnevoldsen/dfm-sentence-encoder-medium-3 178 120 512 True 14,050 ± 3,278 / 2,749 ± 894 1.71 1.73 1.69 1.72 71.21 ± 1.46 / 67.27 ± 1.78 47.55 ± 1.25 / 64.66 ± 0.96 68.72 ± 1.40 / 83.85 ± 0.85 38.33 ± 1.25 / 43.90 ± 1.45 91.17 ± 0.52 / 91.04 ± 0.58 87.30 ± 1.07 / 88.83 ± 0.84 59.10 ± 1.47 / 70.50 ± 2.06 74.32 ± 1.76 / 86.47 ± 1.18 72.94 ± 1.63 / 86.07 ± 0.99 34.06 ± 2.05 / 45.46 ± 2.65 81.35 ± 1.26 / 79.18 ± 1.23 71.16 ± 1.21 / 69.78 ± 3.24 63.89 ± 1.18 / 81.45 ± 0.75 37.18 ± 2.04 / 42.09 ± 2.23 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
vesteinn/ScandiBERT-no-faroese 124 50 512 True 15,436 ± 2,820 / 3,704 ± 1,187 1.72 1.85 1.69 1.61 69.79 ± 2.03 / 65.20 ± 1.94 47.73 ± 1.45 / 64.85 ± 1.13 68.28 ± 1.77 / 83.52 ± 1.02 31.90 ± 2.50 / 37.07 ± 2.36 91.09 ± 0.65 / 88.45 ± 0.70 85.72 ± 1.92 / 81.88 ± 2.16 50.90 ± 3.01 / 60.96 ± 5.41 69.34 ± 3.13 / 83.11 ± 2.17 66.24 ± 2.41 / 82.36 ± 1.49 48.45 ± 0.63 / 62.96 ± 0.80 79.08 ± 2.32 / 73.06 ± 2.01 72.53 ± 0.98 / 67.74 ± 3.02 73.01 ± 1.43 / 85.98 ± 0.81 36.92 ± 2.25 / 41.99 ± 2.38 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
NbAiLab/nb-bert-base 178 120 512 True 14,050 ± 3,222 / 2,727 ± 886 1.73 1.80 1.67 1.73 70.36 ± 1.61 / 66.92 ± 1.70 46.32 ± 1.22 / 64.13 ± 0.85 66.41 ± 1.89 / 82.44 ± 1.42 36.42 ± 1.11 / 41.53 ± 1.29 93.01 ± 0.68 / 89.36 ± 0.86 88.43 ± 0.78 / 84.38 ± 0.81 60.84 ± 1.48 / 72.16 ± 1.38 73.89 ± 1.31 / 86.19 ± 0.93 72.10 ± 2.07 / 85.37 ± 1.33 33.01 ± 3.06 / 45.28 ± 3.64 80.38 ± 0.99 / 75.35 ± 0.88 71.21 ± 1.11 / 67.49 ± 2.90 64.03 ± 1.94 / 81.39 ± 1.29 35.33 ± 2.25 / 39.61 ± 2.31 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-3.3-70B-Instruct (few-shot) 70554 128 131072 True 1,353 ± 443 / 180 ± 61 1.74 1.53 2.22 1.47 67.07 ± 1.22 / 48.82 ± 2.09 59.89 ± 0.97 / 72.51 ± 0.84 56.56 ± 2.10 / 77.06 ± 1.62 49.02 ± 0.61 / 62.78 ± 0.39 79.84 ± 1.02 / 67.96 ± 2.10 79.93 ± 0.81 / 68.93 ± 2.65 41.11 ± 0.41 / 40.48 ± 0.38 57.84 ± 1.77 / 77.97 ± 1.19 43.52 ± 2.51 / 69.59 ± 2.20 40.92 ± 1.45 / 69.52 ± 1.07 71.98 ± 2.05 / 51.44 ± 3.30 81.15 ± 0.64 / 80.25 ± 0.97 64.46 ± 1.14 / 81.56 ± 0.73 51.22 ± 1.77 / 64.14 ± 1.00 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
NbAiLab/nb-sbert-base 178 120 512 True 17,757 ± 3,883 / 3,864 ± 1,237 1.76 1.82 1.72 1.75 70.12 ± 1.61 / 65.80 ± 1.43 47.83 ± 1.05 / 65.23 ± 0.75 63.25 ± 2.38 / 80.82 ± 1.42 36.51 ± 2.05 / 41.01 ± 2.35 90.96 ± 0.66 / 90.87 ± 0.65 87.34 ± 1.74 / 88.75 ± 1.38 60.57 ± 1.22 / 72.70 ± 0.75 72.11 ± 1.85 / 85.08 ± 1.24 70.20 ± 2.24 / 84.26 ± 1.48 29.94 ± 3.33 / 40.55 ± 4.21 80.26 ± 1.10 / 77.87 ± 1.03 71.05 ± 0.75 / 69.24 ± 2.39 62.49 ± 2.06 / 80.42 ± 1.54 33.80 ± 1.33 / 38.28 ± 1.45 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
gpt-4o-2024-05-13 (zero-shot, val) unknown 200 8191 True 637 ± 306 / 92 ± 31 1.76 1.61 2.20 1.48 64.80 ± 1.56 / 45.57 ± 1.47 53.07 ± 1.45 / 68.64 ± 1.04 64.18 ± 3.36 / 81.90 ± 1.68 49.02 ± 1.18 / 63.09 ± 1.29 77.72 ± 1.59 / 57.89 ± 2.50 71.70 ± 2.52 / 50.78 ± 2.60 36.27 ± 1.67 / 35.73 ± 0.92 71.70 ± 2.39 / 85.59 ± 1.30 58.79 ± 1.33 / 76.83 ± 0.92 40.95 ± 1.31 / 72.82 ± 0.88 75.06 ± 2.26 / 44.92 ± 1.50 74.85 ± 2.89 / 74.58 ± 2.54 65.23 ± 2.16 / 80.52 ± 1.22 53.02 ± 1.40 / 63.85 ± 1.17 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
vesteinn/FoBERT 124 50 512 True 15,623 ± 2,828 / 3,737 ± 1,191 1.76 1.83 1.73 1.71 69.65 ± 2.04 / 65.80 ± 1.79 49.18 ± 1.55 / 65.94 ± 1.28 65.45 ± 1.97 / 81.55 ± 1.33 32.40 ± 2.41 / 37.33 ± 2.34 90.65 ± 0.66 / 88.03 ± 0.77 84.88 ± 1.55 / 81.01 ± 1.95 52.44 ± 2.90 / 62.48 ± 4.62 68.77 ± 2.01 / 83.10 ± 1.42 65.40 ± 2.43 / 81.72 ± 1.68 43.13 ± 2.05 / 56.76 ± 2.21 78.58 ± 1.52 / 72.45 ± 1.57 73.41 ± 0.98 / 68.72 ± 3.80 71.14 ± 1.62 / 84.55 ± 0.97 31.62 ± 1.35 / 36.20 ± 1.16 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot) 28411 256 4096 True 3,633 ± 1,236 / 777 ± 220 1.77 1.48 2.23 1.60 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 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
pere/roberta-debug-8 278 250 512 True 15,103 ± 2,954 / 3,356 ± 1,090 1.77 1.83 1.72 1.75 71.34 ± 1.56 / 66.53 ± 1.53 49.77 ± 0.92 / 66.38 ± 0.56 64.31 ± 2.24 / 80.70 ± 1.53 31.86 ± 1.88 / 37.00 ± 1.79 91.16 ± 0.71 / 88.71 ± 0.94 84.75 ± 1.23 / 80.56 ± 1.59 55.25 ± 2.36 / 66.95 ± 2.79 68.03 ± 2.37 / 82.12 ± 1.69 66.90 ± 2.07 / 82.33 ± 1.34 41.65 ± 1.17 / 55.71 ± 1.73 74.48 ± 2.35 / 67.89 ± 2.16 74.58 ± 1.29 / 70.97 ± 2.41 69.07 ± 2.22 / 83.17 ± 1.50 31.66 ± 1.18 / 37.05 ± 1.10 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Qwen/Qwen2.5-72B-Instruct (few-shot) 72706 152 32768 True 1,219 ± 412 / 158 ± 53 1.80 1.53 2.30 1.58 63.81 ± 1.27 / 42.18 ± 2.59 54.50 ± 1.55 / 69.89 ± 1.02 57.19 ± 1.30 / 78.30 ± 0.79 55.77 ± 0.97 / 67.26 ± 0.69 72.21 ± 1.25 / 49.58 ± 2.05 70.24 ± 1.23 / 52.09 ± 2.38 39.85 ± 0.65 / 39.69 ± 0.52 63.14 ± 1.27 / 81.41 ± 0.62 43.24 ± 1.56 / 71.36 ± 0.86 43.41 ± 3.02 / 73.20 ± 2.14 62.12 ± 2.14 / 39.19 ± 2.64 79.89 ± 0.97 / 80.23 ± 0.85 61.71 ± 1.08 / 80.82 ± 0.54 54.99 ± 0.94 / 66.56 ± 0.46 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
pere/roberta-base-exp-8 278 250 512 True 15,112 ± 2,969 / 3,347 ± 1,093 1.80 1.87 1.63 1.89 68.77 ± 2.07 / 64.77 ± 1.86 49.66 ± 0.99 / 66.21 ± 0.72 60.13 ± 13.57 / 78.92 ± 6.96 32.60 ± 0.75 / 37.37 ± 0.72 88.99 ± 0.96 / 86.13 ± 1.08 82.99 ± 1.53 / 78.66 ± 1.85 57.37 ± 1.31 / 70.45 ± 1.13 69.92 ± 2.01 / 83.51 ± 1.33 70.05 ± 1.76 / 84.13 ± 1.17 41.98 ± 3.70 / 55.88 ± 3.70 73.44 ± 2.81 / 67.31 ± 3.11 73.63 ± 1.53 / 68.42 ± 4.24 58.91 ± 17.49 / 77.13 ± 10.99 32.39 ± 1.02 / 37.33 ± 0.86 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
setu4993/LaBSE 471 501 512 True 25,418 ± 6,435 / 4,536 ± 1,452 1.81 1.87 1.86 1.70 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Qwen/QwQ-32B-Preview (few-shot) 32764 152 32768 True 2,258 ± 1,221 / 198 ± 67 1.82 1.63 2.31 1.52 64.66 ± 1.67 / 48.66 ± 3.44 53.42 ± 1.21 / 66.49 ± 1.21 53.93 ± 1.76 / 76.52 ± 1.14 55.55 ± 0.70 / 65.32 ± 0.49 75.68 ± 1.44 / 63.54 ± 3.33 75.89 ± 0.88 / 63.84 ± 4.94 38.41 ± 0.87 / 38.78 ± 0.71 56.42 ± 1.37 / 77.77 ± 0.78 39.34 ± 2.27 / 69.48 ± 1.18 44.35 ± 3.74 / 71.44 ± 3.05 69.73 ± 1.67 / 54.58 ± 4.83 78.76 ± 0.99 / 74.72 ± 2.08 57.57 ± 1.55 / 77.98 ± 1.00 56.43 ± 0.59 / 66.23 ± 0.53 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 1.85 1.90 2.04 1.60 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 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
pere/roberta-debug-32 278 250 512 True 14,958 ± 2,903 / 3,331 ± 1,077 1.85 1.90 1.85 1.79 68.46 ± 2.31 / 64.34 ± 2.02 50.48 ± 0.68 / 66.71 ± 0.40 64.34 ± 2.43 / 80.92 ± 1.67 30.30 ± 1.40 / 35.30 ± 1.16 89.07 ± 1.19 / 85.81 ± 1.57 83.27 ± 1.68 / 78.80 ± 2.22 53.23 ± 1.67 / 65.23 ± 2.65 70.06 ± 2.33 / 83.61 ± 1.61 66.81 ± 1.83 / 82.19 ± 1.20 34.17 ± 2.16 / 47.61 ± 2.55 72.25 ± 2.16 / 65.94 ± 2.04 75.04 ± 1.08 / 72.35 ± 2.45 70.16 ± 1.47 / 84.29 ± 0.90 31.89 ± 0.99 / 36.93 ± 0.90 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
google/gemma-2-9b-it (few-shot) 9242 256 8193 True 2,062 ± 397 / 589 ± 178 1.86 1.80 2.07 1.72 49.05 ± 2.41 / 30.91 ± 2.53 52.26 ± 1.31 / 64.13 ± 1.93 58.38 ± 1.21 / 78.98 ± 0.68 55.34 ± 0.82 / 64.41 ± 0.42 61.82 ± 2.72 / 44.91 ± 3.62 60.41 ± 2.62 / 46.29 ± 3.79 61.06 ± 1.21 / 73.45 ± 0.94 62.46 ± 1.49 / 81.11 ± 0.72 52.99 ± 1.89 / 76.14 ± 1.20 39.10 ± 1.50 / 70.14 ± 1.53 52.50 ± 1.02 / 37.38 ± 2.57 78.51 ± 0.93 / 76.24 ± 1.64 61.28 ± 1.63 / 80.07 ± 1.22 55.22 ± 1.03 / 64.60 ± 0.52 13.0.0 13.0.0 13.0.0 13.0.0 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
pere/roberta-base-exp-32 278 250 512 True 15,081 ± 2,950 / 3,365 ± 1,092 1.86 2.00 1.71 1.86 71.90 ± 1.08 / 67.25 ± 1.47 51.33 ± 1.24 / 67.04 ± 1.22 44.45 ± 19.17 / 70.51 ± 10.21 32.51 ± 0.79 / 37.00 ± 0.78 91.66 ± 0.74 / 89.26 ± 0.97 87.74 ± 0.77 / 84.51 ± 1.03 57.43 ± 1.55 / 70.43 ± 1.41 63.31 ± 11.58 / 80.18 ± 5.59 62.79 ± 11.35 / 79.65 ± 6.48 41.05 ± 2.59 / 54.44 ± 3.33 79.75 ± 0.94 / 73.45 ± 0.86 74.73 ± 1.15 / 70.83 ± 3.72 53.55 ± 16.68 / 75.79 ± 8.05 32.20 ± 0.86 / 36.88 ± 0.81 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-70b-hf (few-shot, val) 68977 32 4096 True 1,892 ± 650 / 318 ± 105 1.88 1.77 2.23 1.65 58.06 ± 2.48 / 50.10 ± 2.23 53.24 ± 4.04 / 67.81 ± 2.74 39.71 ± 4.96 / 65.90 ± 3.81 62.51 ± 1.48 / 67.47 ± 1.39 62.46 ± 4.62 / 60.77 ± 4.36 64.68 ± 3.04 / 61.69 ± 2.31 59.68 ± 3.30 / 70.62 ± 3.08 27.34 ± 12.20 / 50.42 ± 9.24 3.95 ± 4.66 / 36.08 ± 3.27 57.44 ± 4.59 / 78.69 ± 3.09 64.76 ± 3.91 / 61.08 ± 5.41 75.46 ± 1.99 / 74.35 ± 3.70 43.27 ± 5.03 / 65.62 ± 4.94 63.04 ± 1.52 / 66.95 ± 1.31 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32764 True 2,126 ± 676 / 319 ± 104 1.89 1.76 2.23 1.68 56.96 ± 2.39 / 45.84 ± 1.75 55.11 ± 4.11 / 69.60 ± 2.69 42.64 ± 3.22 / 71.04 ± 1.56 54.58 ± 2.19 / 64.12 ± 1.41 66.75 ± 2.07 / 58.61 ± 3.33 66.81 ± 2.57 / 57.71 ± 3.04 60.58 ± 4.96 / 70.33 ± 4.12 47.53 ± 4.07 / 72.24 ± 2.31 17.14 ± 4.72 / 51.14 ± 4.36 41.92 ± 3.36 / 72.51 ± 1.91 62.96 ± 3.44 / 52.14 ± 4.04 75.25 ± 2.41 / 78.80 ± 1.96 53.28 ± 3.33 / 75.37 ± 1.80 56.42 ± 1.65 / 65.04 ± 1.17 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
AI-Sweden-Models/bert-large-nordic-pile-1M-steps 369 64 512 True 6,571 ± 1,331 / 1,493 ± 479 1.95 2.14 2.24 1.46 67.40 ± 1.01 / 62.44 ± 1.32 41.53 ± 1.91 / 59.82 ± 1.67 41.62 ± 10.78 / 68.99 ± 5.73 37.30 ± 1.59 / 42.46 ± 1.75 87.50 ± 0.53 / 87.45 ± 0.54 80.57 ± 1.41 / 82.71 ± 1.13 47.11 ± 2.05 / 60.70 ± 3.19 52.62 ± 3.99 / 75.01 ± 2.43 25.06 ± 6.94 / 60.75 ± 4.12 38.40 ± 2.57 / 50.51 ± 3.52 80.65 ± 2.12 / 78.69 ± 1.68 77.43 ± 1.07 / 75.95 ± 2.00 76.56 ± 1.06 / 87.86 ± 0.70 41.54 ± 1.50 / 46.79 ± 1.60 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
intfloat/multilingual-e5-base 278 250 512 True 14,965 ± 2,890 / 3,322 ± 1,074 1.98 1.94 2.27 1.74 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 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
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) 70554 128 8192 True 1,673 ± 583 / 275 ± 85 1.98 1.84 2.09 2.01 63.10 ± 2.12 / 55.10 ± 1.44 53.09 ± 3.85 / 68.18 ± 2.27 40.98 ± 4.46 / 69.10 ± 2.72 51.13 ± 1.89 / 63.12 ± 1.61 80.50 ± 2.85 / 76.71 ± 2.48 76.47 ± 3.13 / 73.94 ± 2.95 59.29 ± 5.92 / 69.99 ± 4.80 47.28 ± 3.57 / 69.23 ± 3.04 32.76 ± 3.80 / 60.66 ± 3.10 39.71 ± 2.59 / 71.60 ± 1.57 77.06 ± 2.72 / 67.75 ± 5.69 53.56 ± 7.15 / 67.07 ± 3.93 47.50 ± 3.37 / 71.31 ± 2.69 46.86 ± 1.77 / 60.96 ± 1.04 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (few-shot) 70554 128 131072 True 1,208 ± 412 / 156 ± 53 1.98 1.80 2.39 1.75 58.34 ± 1.24 / 33.52 ± 1.47 59.14 ± 1.19 / 72.45 ± 0.97 56.46 ± 1.02 / 77.90 ± 0.61 39.77 ± 1.12 / 54.05 ± 0.72 69.21 ± 1.13 / 41.18 ± 1.79 70.45 ± 1.43 / 43.05 ± 2.42 39.87 ± 0.47 / 39.97 ± 0.29 57.80 ± 1.53 / 78.16 ± 0.92 40.31 ± 2.88 / 68.01 ± 2.32 40.97 ± 1.43 / 72.01 ± 0.69 58.65 ± 2.12 / 28.39 ± 1.64 81.81 ± 0.86 / 82.33 ± 0.74 63.69 ± 1.28 / 81.49 ± 0.64 42.29 ± 1.15 / 56.06 ± 0.57 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
mistralai/Mistral-Nemo-Instruct-2407 (few-shot) 12248 131 1024001 True 7,095 ± 2,193 / 1,063 ± 344 2.00 2.05 2.09 1.87 53.95 ± 2.29 / 34.84 ± 2.23 48.97 ± 1.81 / 64.19 ± 1.99 31.78 ± 4.52 / 61.53 ± 5.44 56.44 ± 1.24 / 65.53 ± 1.09 70.14 ± 1.60 / 51.03 ± 3.02 68.74 ± 1.21 / 51.48 ± 2.96 60.64 ± 2.52 / 73.91 ± 1.86 35.59 ± 2.29 / 61.96 ± 3.72 29.22 ± 2.86 / 60.98 ± 4.02 49.87 ± 4.84 / 76.01 ± 3.10 62.86 ± 1.95 / 36.42 ± 3.49 70.54 ± 6.38 / 73.39 ± 6.37 37.50 ± 2.48 / 66.32 ± 1.77 58.00 ± 0.85 / 65.98 ± 0.82 13.0.0 13.0.0 13.0.0 13.0.0 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
pere/roberta-base-exp-32B 278 250 512 True 15,103 ± 2,982 / 3,357 ± 1,081 2.00 2.01 2.03 1.96 71.81 ± 1.72 / 66.85 ± 1.93 47.83 ± 1.22 / 64.90 ± 0.81 54.99 ± 11.90 / 75.82 ± 5.70 29.92 ± 0.98 / 34.74 ± 0.91 90.60 ± 1.16 / 87.83 ± 1.34 86.76 ± 0.82 / 83.48 ± 0.98 52.19 ± 2.87 / 65.60 ± 2.58 54.98 ± 14.19 / 75.67 ± 6.70 58.33 ± 10.94 / 77.88 ± 5.29 29.17 ± 1.36 / 41.75 ± 1.59 77.97 ± 0.82 / 72.10 ± 0.94 73.27 ± 0.75 / 71.87 ± 1.30 47.19 ± 16.37 / 72.10 ± 8.03 31.07 ± 0.93 / 36.17 ± 0.73 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
google/gemma-2-9b (few-shot) 9242 256 8193 True 2,038 ± 406 / 566 ± 172 2.01 2.16 2.15 1.73 44.16 ± 3.11 / 25.93 ± 1.95 38.84 ± 2.31 / 45.52 ± 3.32 43.42 ± 3.95 / 69.40 ± 3.11 60.11 ± 0.96 / 66.24 ± 0.78 54.08 ± 2.08 / 34.62 ± 1.80 54.33 ± 3.02 / 37.70 ± 2.97 62.54 ± 1.17 / 75.53 ± 0.73 50.88 ± 2.84 / 74.69 ± 1.56 41.01 ± 1.91 / 69.35 ± 1.67 46.25 ± 3.89 / 72.99 ± 3.16 50.43 ± 3.97 / 27.20 ± 3.14 80.55 ± 1.46 / 77.22 ± 3.78 50.86 ± 3.91 / 72.14 ± 3.98 59.35 ± 1.16 / 65.35 ± 0.87 13.0.0 13.0.0 13.0.0 13.0.0 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
vesteinn/DanskBERT 124 50 512 True 15,749 ± 2,665 / 4,014 ± 1,281 2.01 1.55 2.24 2.24 72.55 ± 2.08 / 69.31 ± 1.93 52.86 ± 1.08 / 68.19 ± 1.02 75.20 ± 1.73 / 86.99 ± 1.17 37.65 ± 0.96 / 43.48 ± 1.14 86.82 ± 0.53 / 84.15 ± 0.59 79.91 ± 1.17 / 76.65 ± 1.46 47.84 ± 2.44 / 60.67 ± 3.47 51.99 ± 11.45 / 72.87 ± 8.55 30.57 ± 8.63 / 62.90 ± 7.32 36.75 ± 2.18 / 50.77 ± 2.11 72.33 ± 0.82 / 67.15 ± 0.85 67.77 ± 1.19 / 62.98 ± 2.57 33.79 ± 7.61 / 64.01 ± 6.84 32.71 ± 0.77 / 37.46 ± 0.64 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ltg/norbert3-small 41 50 508 True 13,515 ± 2,514 / 3,042 ± 1,004 2.04 2.17 1.74 2.22 67.89 ± 2.14 / 64.13 ± 1.94 39.34 ± 2.85 / 58.37 ± 3.66 50.90 ± 1.26 / 74.15 ± 0.81 34.82 ± 1.33 / 39.58 ± 1.59 90.02 ± 0.72 / 86.99 ± 0.87 86.52 ± 1.17 / 83.03 ± 1.53 51.36 ± 3.24 / 61.35 ± 5.46 67.29 ± 2.13 / 82.23 ± 1.36 56.67 ± 2.29 / 76.74 ± 1.73 48.63 ± 1.31 / 63.28 ± 1.09 74.22 ± 1.37 / 68.68 ± 1.40 63.80 ± 1.56 / 57.65 ± 2.24 37.77 ± 5.16 / 65.87 ± 4.30 31.45 ± 0.94 / 35.81 ± 0.94 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 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-4-1106-preview (zero-shot, val) unknown 100 8191 True 436 ± 152 / 57 ± 21 2.09 1.93 2.54 1.79 35.79 ± 2.45 / 25.86 ± 1.74 53.69 ± 2.27 / 67.91 ± 1.55 62.98 ± 2.61 / 81.27 ± 1.31 51.96 ± 1.07 / 64.87 ± 0.92 60.16 ± 3.63 / 49.38 ± 2.48 48.74 ± 2.05 / 40.98 ± 1.83 39.62 ± 1.29 / 38.68 ± 0.94 71.38 ± 2.71 / 85.52 ± 1.38 42.94 ± 3.66 / 71.26 ± 1.76 36.04 ± 1.53 / 69.46 ± 0.84 51.31 ± 4.64 / 43.84 ± 3.44 73.54 ± 3.03 / 68.68 ± 2.31 66.39 ± 2.24 / 82.10 ± 1.23 52.22 ± 1.51 / 63.21 ± 1.40 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
CohereForAI/c4ai-command-r-08-2024 (few-shot) 32296 256 131072 False 1,909 ± 646 / 248 ± 84 2.12 1.89 2.66 1.80 63.63 ± 2.58 / 40.18 ± 3.60 50.82 ± 1.22 / 64.57 ± 1.50 35.58 ± 1.76 / 66.59 ± 1.22 54.33 ± 0.77 / 64.51 ± 0.50 73.20 ± 1.45 / 46.13 ± 3.02 72.26 ± 1.32 / 50.60 ± 3.32 35.80 ± 0.54 / 38.56 ± 0.56 36.86 ± 1.57 / 68.01 ± 0.98 23.40 ± 1.98 / 60.51 ± 1.62 40.32 ± 1.30 / 70.57 ± 1.28 65.01 ± 1.61 / 38.41 ± 3.29 77.68 ± 1.01 / 74.34 ± 1.86 34.06 ± 2.14 / 65.64 ± 1.66 56.78 ± 0.52 / 65.93 ± 0.49 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
four-two-labs/orpo-llama-3-swe (few-shot) 8030 128 8192 False 4,974 ± 1,208 / 1,032 ± 342 2.12 2.11 2.40 1.85 46.75 ± 2.79 / 29.40 ± 2.22 51.73 ± 1.40 / 66.43 ± 1.93 24.73 ± 4.78 / 53.98 ± 6.10 59.97 ± 1.27 / 65.74 ± 0.76 61.63 ± 1.64 / 48.09 ± 2.89 61.30 ± 1.94 / 50.08 ± 2.60 48.85 ± 2.22 / 64.93 ± 2.00 24.15 ± 6.12 / 56.29 ± 6.81 21.33 ± 3.03 / 58.05 ± 2.59 53.66 ± 4.34 / 75.19 ± 3.59 60.93 ± 2.85 / 38.87 ± 3.50 79.74 ± 0.68 / 75.13 ± 1.85 26.02 ± 4.38 / 52.19 ± 5.44 59.84 ± 0.92 / 65.92 ± 0.82 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
gpt-4o-mini-2024-07-18 (zero-shot, val) unknown 200 8191 True 908 ± 303 / 96 ± 36 2.12 1.79 2.62 1.96 57.52 ± 2.21 / 35.79 ± 1.78 49.73 ± 3.09 / 65.95 ± 2.22 57.56 ± 2.67 / 77.16 ± 1.35 51.79 ± 1.50 / 64.34 ± 1.32 60.43 ± 2.46 / 37.82 ± 2.68 55.59 ± 2.84 / 32.20 ± 2.11 39.82 ± 1.20 / 37.70 ± 1.08 54.84 ± 2.09 / 74.79 ± 1.33 33.80 ± 3.42 / 62.11 ± 2.19 36.55 ± 1.71 / 70.12 ± 0.99 52.47 ± 2.22 / 29.74 ± 0.97 73.55 ± 2.73 / 71.66 ± 2.30 52.27 ± 2.34 / 71.55 ± 1.30 48.95 ± 1.41 / 61.75 ± 1.16 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1
KBLab/megatron-bert-large-swedish-cased-165k 370 64 512 True 7,138 ± 1,111 / 2,067 ± 660 2.13 2.44 2.56 1.38 58.50 ± 4.21 / 55.82 ± 3.50 41.02 ± 1.64 / 60.13 ± 1.52 27.10 ± 3.59 / 61.03 ± 2.41 39.99 ± 1.25 / 45.72 ± 1.27 85.99 ± 0.83 / 83.09 ± 0.94 79.47 ± 1.14 / 75.61 ± 1.34 39.53 ± 0.99 / 50.90 ± 2.17 27.39 ± 2.48 / 61.03 ± 2.27 23.56 ± 2.23 / 60.05 ± 1.05 39.01 ± 1.18 / 51.83 ± 1.58 81.05 ± 1.34 / 76.08 ± 1.45 78.00 ± 0.89 / 75.01 ± 2.18 76.79 ± 1.70 / 87.59 ± 1.06 45.71 ± 1.09 / 51.70 ± 0.89 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
AI-Nordics/bert-large-swedish-cased 335 31 512 True 7,199 ± 1,139 / 2,051 ± 651 2.14 2.42 2.53 1.48 60.66 ± 1.45 / 56.95 ± 1.66 38.46 ± 1.17 / 58.16 ± 0.95 32.29 ± 5.92 / 63.74 ± 3.44 37.68 ± 1.06 / 43.21 ± 1.09 83.32 ± 0.99 / 80.48 ± 0.89 77.97 ± 1.09 / 74.84 ± 1.18 38.44 ± 1.67 / 52.60 ± 1.95 37.54 ± 1.13 / 64.46 ± 1.44 23.10 ± 3.66 / 58.14 ± 3.65 39.97 ± 0.84 / 51.67 ± 1.11 78.61 ± 1.45 / 72.84 ± 1.51 77.47 ± 0.80 / 75.77 ± 2.13 72.87 ± 2.36 / 85.57 ± 1.43 43.11 ± 0.99 / 49.29 ± 1.05 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 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 2.14 2.01 2.28 2.13 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 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
timpal0l/sol (few-shot) 10732 32 4096 False 3,701 ± 876 / 771 ± 247 2.15 2.20 2.30 1.95 54.91 ± 1.53 / 36.29 ± 1.85 44.38 ± 2.83 / 57.19 ± 3.61 21.11 ± 3.23 / 45.43 ± 3.11 58.96 ± 1.71 / 65.85 ± 1.20 65.14 ± 1.62 / 52.85 ± 3.03 65.88 ± 1.53 / 52.89 ± 2.29 57.06 ± 1.54 / 71.09 ± 1.17 26.41 ± 3.80 / 51.92 ± 5.30 19.58 ± 1.29 / 53.93 ± 2.90 51.60 ± 1.97 / 77.87 ± 1.44 57.51 ± 2.30 / 37.74 ± 3.15 77.31 ± 1.01 / 70.55 ± 2.26 25.06 ± 5.02 / 49.04 ± 4.68 60.16 ± 1.77 / 67.43 ± 1.02 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
skole-gpt-mixtral (few-shot) unknown 32 32768 False 3,583 ± 977 / 686 ± 231 2.16 2.02 2.53 1.93 49.17 ± 2.72 / 34.74 ± 2.27 51.51 ± 1.63 / 66.73 ± 1.63 32.04 ± 2.30 / 64.63 ± 1.42 58.52 ± 0.97 / 66.15 ± 0.51 62.52 ± 2.14 / 49.42 ± 3.83 61.55 ± 1.68 / 47.53 ± 3.65 52.09 ± 3.90 / 65.72 ± 4.14 21.99 ± 2.17 / 58.21 ± 2.38 16.84 ± 2.07 / 51.76 ± 4.30 47.30 ± 4.17 / 72.60 ± 3.24 54.14 ± 2.49 / 37.43 ± 3.05 78.27 ± 1.32 / 77.65 ± 1.28 32.49 ± 1.94 / 64.28 ± 2.18 58.95 ± 0.96 / 66.56 ± 0.62 13.0.0 13.0.0 13.0.0 13.0.0 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
cardiffnlp/twitter-xlm-roberta-base 278 250 512 True 34,475 ± 7,465 / 6,712 ± 2,223 2.17 2.21 2.35 1.94 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) 8030 128 8192 False 5,018 ± 1,216 / 996 ± 324 2.17 2.12 2.51 1.88 51.37 ± 2.38 / 37.56 ± 2.50 52.17 ± 3.44 / 67.14 ± 2.61 27.98 ± 7.51 / 60.57 ± 5.72 51.65 ± 0.84 / 59.94 ± 0.78 64.51 ± 3.28 / 51.06 ± 4.78 65.66 ± 3.82 / 53.90 ± 4.32 52.90 ± 4.31 / 65.38 ± 3.73 29.34 ± 4.34 / 59.36 ± 4.64 17.42 ± 4.38 / 52.01 ± 3.50 38.49 ± 4.41 / 67.16 ± 3.41 65.33 ± 2.38 / 46.88 ± 3.97 74.99 ± 3.45 / 76.76 ± 1.80 32.65 ± 5.08 / 61.25 ± 4.41 55.71 ± 1.34 / 64.54 ± 1.00 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
upstage/SOLAR-10.7B-v1.0 (few-shot) 10732 32 4096 True 3,780 ± 906 / 799 ± 261 2.17 2.14 2.38 2.00 58.03 ± 2.18 / 38.25 ± 2.31 46.63 ± 2.35 / 59.02 ± 3.07 15.09 ± 3.06 / 40.04 ± 1.77 62.15 ± 0.63 / 67.21 ± 0.55 68.11 ± 1.83 / 57.57 ± 3.10 68.19 ± 1.01 / 56.90 ± 2.54 55.33 ± 1.95 / 69.71 ± 1.56 10.15 ± 3.24 / 36.27 ± 1.44 7.51 ± 2.97 / 35.89 ± 1.30 55.33 ± 3.29 / 80.42 ± 1.68 59.65 ± 2.22 / 39.33 ± 3.33 77.48 ± 1.23 / 70.13 ± 2.81 16.94 ± 2.36 / 40.98 ± 1.82 62.65 ± 0.56 / 68.15 ± 0.56 12.5.3 12.5.3 12.5.3 12.5.3 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
KBLab/megatron-bert-large-swedish-cased-110k 370 64 512 True 7,075 ± 1,093 / 2,057 ± 661 2.20 2.47 2.72 1.40 60.18 ± 2.71 / 57.15 ± 2.47 39.20 ± 1.69 / 59.33 ± 1.23 26.68 ± 3.38 / 59.41 ± 2.16 39.34 ± 0.84 / 44.87 ± 0.79 84.03 ± 0.79 / 80.97 ± 0.92 77.98 ± 1.36 / 74.25 ± 1.62 39.15 ± 3.29 / 53.00 ± 3.85 21.39 ± 2.73 / 58.08 ± 1.93 17.10 ± 3.43 / 57.00 ± 1.86 35.32 ± 1.71 / 47.41 ± 2.25 80.39 ± 1.34 / 74.83 ± 1.44 78.45 ± 0.79 / 77.12 ± 0.86 76.28 ± 1.86 / 87.37 ± 1.15 44.56 ± 0.52 / 50.85 ± 0.56 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
NorwAI/NorwAI-Mixtral-8x7B (few-shot) 46998 68 32768 True 2,368 ± 793 / 317 ± 108 2.20 2.04 2.39 2.17 51.95 ± 1.51 / 31.96 ± 1.74 52.11 ± 1.49 / 67.70 ± 1.08 44.47 ± 2.01 / 69.57 ± 2.71 43.32 ± 8.90 / 50.67 ± 8.15 58.53 ± 2.06 / 39.86 ± 1.77 60.26 ± 1.71 / 41.24 ± 1.50 59.48 ± 2.27 / 73.61 ± 2.04 51.85 ± 2.78 / 73.40 ± 2.33 41.89 ± 3.17 / 69.00 ± 2.68 25.62 ± 3.95 / 43.70 ± 5.67 57.01 ± 1.32 / 33.14 ± 2.45 80.12 ± 0.88 / 81.23 ± 0.76 43.04 ± 1.96 / 67.69 ± 2.83 30.44 ± 7.83 / 39.20 ± 7.83 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
RJuro/munin-neuralbeagle-7b (few-shot, val) 7242 32 32768 False 2,493 ± 466 / 773 ± 243 2.20 2.06 2.54 2.01 51.44 ± 3.28 / 41.38 ± 2.79 54.91 ± 2.59 / 67.84 ± 2.53 22.77 ± 3.96 / 52.29 ± 3.81 56.51 ± 1.80 / 64.01 ± 1.12 61.18 ± 2.76 / 56.36 ± 3.30 65.16 ± 3.97 / 55.74 ± 4.71 55.61 ± 4.02 / 68.27 ± 3.49 20.84 ± 5.41 / 49.36 ± 4.98 9.12 ± 3.51 / 43.06 ± 3.74 42.92 ± 3.08 / 69.13 ± 2.85 62.96 ± 2.62 / 51.99 ± 5.66 77.13 ± 2.43 / 78.36 ± 1.88 15.73 ± 7.07 / 47.41 ± 5.31 58.43 ± 1.59 / 65.06 ± 1.19 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 12.5.2
mistralai/Mixtral-8x7B-v0.1 (few-shot) 46703 32 32768 True 2,363 ± 794 / 311 ± 105 2.20 1.99 2.72 1.89 52.62 ± 1.84 / 38.57 ± 2.99 50.07 ± 1.62 / 63.30 ± 1.97 37.37 ± 2.49 / 67.81 ± 1.44 54.87 ± 3.63 / 60.32 ± 3.48 63.92 ± 1.45 / 51.71 ± 3.49 62.15 ± 1.56 / 49.74 ± 3.23 46.68 ± 3.59 / 59.99 ± 4.44 33.38 ± 2.21 / 64.72 ± 1.46 19.99 ± 2.53 / 58.41 ± 1.97 31.87 ± 4.76 / 53.96 ± 5.86 60.92 ± 1.45 / 47.51 ± 4.83 79.78 ± 0.72 / 77.07 ± 1.23 34.88 ± 2.27 / 64.32 ± 3.30 50.35 ± 4.89 / 56.29 ± 5.07 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
google-bert/bert-base-multilingual-uncased 167 106 512 True 13,993 ± 3,217 / 2,752 ± 893 2.24 2.32 2.31 2.08 64.92 ± 2.17 / 60.82 ± 1.86 33.50 ± 2.57 / 54.63 ± 2.14 46.75 ± 3.43 / 72.71 ± 2.11 37.09 ± 2.08 / 41.77 ± 2.25 82.90 ± 1.44 / 79.06 ± 1.52 77.33 ± 2.00 / 72.83 ± 1.96 37.28 ± 2.13 / 48.69 ± 3.26 49.41 ± 1.57 / 73.96 ± 0.87 43.58 ± 2.23 / 71.20 ± 1.61 40.35 ± 2.26 / 54.01 ± 2.42 70.85 ± 1.56 / 65.50 ± 1.71 63.30 ± 0.93 / 59.96 ± 1.80 48.97 ± 1.14 / 73.78 ± 0.61 38.00 ± 1.52 / 42.69 ± 1.62 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
nvidia/mistral-nemo-minitron-8b-base (few-shot) 8414 131 8192 True 2,470 ± 836 / 326 ± 111 2.24 2.14 2.55 2.02 49.85 ± 2.30 / 33.79 ± 3.10 49.52 ± 1.96 / 66.14 ± 1.58 32.35 ± 2.54 / 64.15 ± 2.71 52.54 ± 3.16 / 58.28 ± 3.02 64.15 ± 1.20 / 47.04 ± 3.09 62.16 ± 1.91 / 46.60 ± 2.86 55.29 ± 1.82 / 69.90 ± 1.64 32.30 ± 3.70 / 60.88 ± 3.83 22.82 ± 1.34 / 57.53 ± 2.19 32.62 ± 5.27 / 54.92 ± 6.28 58.75 ± 1.62 / 39.78 ± 2.75 79.59 ± 0.77 / 77.48 ± 1.05 33.09 ± 2.18 / 66.25 ± 1.20 47.28 ± 6.79 / 53.05 ± 6.94 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1
timpal0l/BeagleCatMunin (few-shot, val) 7242 32 32768 False 2,495 ± 458 / 775 ± 244 2.24 2.11 2.64 1.98 47.62 ± 3.01 / 36.77 ± 2.96 54.73 ± 3.20 / 68.74 ± 2.21 21.80 ± 4.54 / 51.07 ± 4.11 57.26 ± 1.76 / 63.60 ± 1.40 54.04 ± 2.86 / 48.50 ± 2.85 62.21 ± 3.31 / 50.38 ± 4.32 54.74 ± 3.71 / 67.81 ± 2.80 14.51 ± 1.97 / 40.94 ± 1.63 5.38 ± 4.69 / 37.62 ± 2.92 42.83 ± 3.31 / 69.15 ± 2.50 50.53 ± 3.30 / 37.77 ± 4.38 77.37 ± 2.25 / 78.66 ± 2.43 27.84 ± 4.72 / 49.46 ± 4.52 59.98 ± 1.65 / 65.44 ± 1.38 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 12.5.2
AI-Sweden-Models/Llama-3-8B-instruct (few-shot) 8030 128 8192 False 1,472 ± 376 / 284 ± 96 2.26 2.06 3.07 1.65 58.57 ± 1.03 / 41.07 ± 2.81 51.63 ± 1.00 / 67.43 ± 0.78 28.82 ± 2.18 / 50.35 ± 2.03 51.98 ± 0.64 / 61.33 ± 0.59 81.96 ± 1.06 / 76.25 ± 1.32 78.42 ± 1.01 / 75.40 ± 0.97 35.30 ± 0.64 / 38.72 ± 0.50 12.11 ± 2.22 / 36.70 ± 1.09 5.94 ± 1.85 / 34.64 ± 0.60 22.15 ± 0.60 / 43.62 ± 0.82 84.77 ± 1.36 / 72.07 ± 2.30 80.10 ± 0.54 / 80.57 ± 0.45 29.17 ± 3.15 / 49.46 ± 2.79 54.68 ± 0.66 / 63.19 ± 0.58 14.0.3 14.0.3 14.0.3 14.0.3 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.0.4
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) 7242 32 32768 True 2,443 ± 458 / 750 ± 240 2.27 2.20 2.62 1.99 45.61 ± 3.06 / 35.04 ± 2.94 53.73 ± 3.06 / 67.51 ± 2.16 17.08 ± 5.36 / 52.62 ± 5.62 56.67 ± 1.19 / 61.18 ± 1.07 48.24 ± 3.18 / 42.53 ± 3.52 61.50 ± 1.54 / 50.90 ± 4.58 49.40 ± 3.40 / 60.71 ± 3.33 24.12 ± 3.24 / 59.38 ± 2.25 13.20 ± 3.16 / 54.42 ± 3.04 47.93 ± 3.46 / 69.52 ± 3.06 46.61 ± 3.11 / 34.10 ± 4.61 76.38 ± 2.01 / 78.30 ± 2.42 34.16 ± 4.39 / 60.06 ± 4.67 58.77 ± 1.76 / 63.50 ± 1.47 10.0.1 10.0.1 10.0.1 10.0.1 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
merge-crew/da-sv-slerp (few-shot, val) 7242 32 32768 True 2,467 ± 469 / 762 ± 244 2.27 2.10 2.75 1.96 45.94 ± 3.62 / 35.68 ± 3.35 51.75 ± 4.52 / 62.28 ± 4.29 28.04 ± 3.83 / 58.31 ± 5.00 57.65 ± 1.66 / 62.03 ± 1.50 49.67 ± 3.12 / 43.26 ± 3.03 61.11 ± 1.93 / 50.15 ± 4.14 56.07 ± 5.22 / 68.93 ± 4.07 3.81 ± 3.09 / 34.47 ± 1.22 -1.29 ± 2.53 / 33.32 ± 0.91 44.98 ± 4.12 / 68.18 ± 3.39 46.57 ± 3.34 / 33.94 ± 3.73 76.53 ± 2.55 / 77.96 ± 3.04 33.43 ± 3.89 / 61.87 ± 4.02 59.87 ± 1.52 / 64.53 ± 1.41 10.0.1 10.0.1 10.0.1 10.0.1 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
merge-crew/da-sv-task-arithmetic (few-shot, val) 7242 32 32768 True 2,500 ± 469 / 762 ± 238 2.27 2.10 2.75 1.96 46.06 ± 3.28 / 35.43 ± 3.06 51.51 ± 4.23 / 61.68 ± 4.43 27.68 ± 4.25 / 57.59 ± 5.15 57.78 ± 1.43 / 62.26 ± 1.36 49.69 ± 2.90 / 43.57 ± 2.90 61.78 ± 2.03 / 49.91 ± 4.24 55.87 ± 5.21 / 68.97 ± 3.95 2.99 ± 3.04 / 34.16 ± 1.10 -1.29 ± 2.53 / 33.32 ± 0.91 44.62 ± 4.06 / 68.17 ± 3.48 47.28 ± 3.05 / 34.01 ± 3.73 76.62 ± 2.52 / 78.04 ± 2.98 33.23 ± 4.72 / 61.29 ± 4.67 60.00 ± 1.69 / 64.62 ± 1.44 10.0.1 10.0.1 10.0.1 10.0.1 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
KB/bert-base-swedish-cased 125 50 512 True 16,181 ± 2,451 / 4,620 ± 1,507 2.28 2.63 2.75 1.46 61.74 ± 1.46 / 58.09 ± 1.52 33.28 ± 1.65 / 54.37 ± 1.44 33.15 ± 7.14 / 64.69 ± 4.47 28.67 ± 0.79 / 33.03 ± 0.87 85.91 ± 0.98 / 83.05 ± 1.29 79.67 ± 1.62 / 76.00 ± 2.01 38.70 ± 2.53 / 50.88 ± 3.38 39.13 ± 2.97 / 67.97 ± 1.68 24.13 ± 6.88 / 60.76 ± 3.29 19.04 ± 4.63 / 27.73 ± 6.70 81.95 ± 1.55 / 76.66 ± 1.60 75.58 ± 1.17 / 73.35 ± 2.22 78.86 ± 0.83 / 89.07 ± 0.50 38.56 ± 1.53 / 43.79 ± 1.43 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
google-bert/bert-base-multilingual-cased 178 120 512 True 14,083 ± 3,264 / 2,738 ± 889 2.28 2.49 2.34 2.00 63.17 ± 2.79 / 59.45 ± 2.58 32.38 ± 1.72 / 53.30 ± 1.79 27.93 ± 11.48 / 61.91 ± 6.69 39.57 ± 1.18 / 44.06 ± 1.25 88.72 ± 0.76 / 85.49 ± 0.92 83.08 ± 1.22 / 79.36 ± 1.38 35.87 ± 1.85 / 48.94 ± 3.37 44.22 ± 3.29 / 70.31 ± 2.86 39.55 ± 7.01 / 68.65 ± 3.36 40.55 ± 2.19 / 53.62 ± 2.68 76.29 ± 1.28 / 70.33 ± 1.16 61.78 ± 1.21 / 60.94 ± 3.28 47.74 ± 7.69 / 72.98 ± 4.74 41.17 ± 1.01 / 46.07 ± 1.12 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4096 True 1,979 ± 621 / 320 ± 105 2.28 2.13 2.59 2.12 52.22 ± 2.07 / 38.82 ± 1.90 50.66 ± 1.88 / 62.04 ± 2.83 23.57 ± 3.82 / 56.09 ± 4.62 53.82 ± 2.13 / 61.94 ± 1.63 60.21 ± 1.86 / 47.06 ± 3.08 62.99 ± 2.66 / 48.82 ± 5.49 55.12 ± 5.10 / 66.55 ± 5.07 27.12 ± 4.90 / 54.26 ± 6.80 6.82 ± 5.06 / 46.18 ± 4.14 38.50 ± 3.93 / 69.99 ± 2.23 55.91 ± 3.25 / 39.73 ± 4.94 64.52 ± 3.15 / 70.51 ± 2.49 23.85 ± 7.34 / 56.89 ± 6.08 58.88 ± 1.51 / 65.82 ± 1.07 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
microsoft/infoxlm-large 560 250 512 True 6,696 ± 1,260 / 1,630 ± 515 2.28 2.34 2.53 1.96 74.42 ± 1.81 / 69.54 ± 1.52 37.94 ± 10.08 / 55.77 ± 9.21 15.26 ± 10.94 / 48.92 ± 8.26 44.25 ± 2.55 / 50.10 ± 2.75 91.90 ± 0.62 / 89.48 ± 0.83 86.59 ± 1.49 / 82.92 ± 1.66 30.56 ± 13.68 / 45.96 ± 11.45 9.79 ± 5.13 / 46.75 ± 6.05 6.36 ± 2.82 / 48.52 ± 4.11 60.47 ± 1.01 / 74.70 ± 0.92 79.53 ± 2.77 / 74.53 ± 2.70 75.42 ± 1.08 / 72.68 ± 3.19 18.44 ± 10.88 / 53.57 ± 7.20 48.19 ± 1.10 / 53.67 ± 0.81 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 4096 False 4,136 ± 1,282 / 668 ± 326 2.29 2.31 2.38 2.18 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 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
mhenrichsen/danskgpt-chat-v2.1 (few-shot) unknown 32 32768 True 5,085 ± 998 / 1,306 ± 404 2.29 2.01 2.71 2.15 51.08 ± 1.60 / 35.83 ± 1.84 54.69 ± 0.99 / 69.50 ± 0.93 30.95 ± 1.48 / 62.15 ± 1.83 56.56 ± 0.76 / 64.32 ± 0.40 62.43 ± 0.94 / 51.64 ± 2.45 60.68 ± 0.74 / 48.91 ± 2.93 53.41 ± 1.46 / 69.49 ± 1.05 -1.16 ± 1.31 / 33.56 ± 0.43 0.30 ± 0.71 / 34.08 ± 0.32 49.15 ± 2.79 / 76.77 ± 1.59 54.37 ± 3.04 / 42.16 ± 4.00 75.98 ± 1.15 / 74.44 ± 1.12 17.98 ± 1.97 / 56.01 ± 2.08 55.07 ± 0.74 / 64.24 ± 0.61 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0
KBLab/bert-base-swedish-cased 125 50 512 True 16,164 ± 2,392 / 4,574 ± 1,478 2.30 2.63 2.80 1.48 61.74 ± 1.46 / 58.09 ± 1.52 33.31 ± 1.49 / 54.09 ± 1.49 33.35 ± 7.32 / 64.61 ± 4.56 28.67 ± 0.79 / 33.03 ± 0.87 85.33 ± 1.01 / 82.13 ± 1.28 79.44 ± 1.66 / 75.74 ± 1.96 38.17 ± 2.21 / 50.44 ± 3.11 39.49 ± 3.36 / 68.13 ± 2.13 22.17 ± 7.22 / 60.16 ± 3.80 19.04 ± 4.63 / 27.73 ± 6.70 81.23 ± 1.58 / 75.95 ± 1.72 75.73 ± 0.72 / 73.61 ± 1.47 78.60 ± 0.98 / 88.95 ± 0.57 38.56 ± 1.53 / 43.79 ± 1.43 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
KBLab/megatron-bert-base-swedish-cased-600k 135 64 512 True 15,726 ± 2,508 / 4,234 ± 1,365 2.30 2.64 2.71 1.56 57.97 ± 1.64 / 54.71 ± 1.72 39.40 ± 1.14 / 59.02 ± 0.60 23.50 ± 1.86 / 59.54 ± 1.34 31.87 ± 2.77 / 36.99 ± 2.78 82.20 ± 1.19 / 79.13 ± 1.26 76.64 ± 1.10 / 72.90 ± 1.43 40.20 ± 1.56 / 54.68 ± 2.46 24.45 ± 2.21 / 58.75 ± 1.80 19.18 ± 3.55 / 57.93 ± 2.05 30.69 ± 1.64 / 42.59 ± 1.94 78.91 ± 1.24 / 72.93 ± 1.08 76.09 ± 0.81 / 72.74 ± 2.11 70.08 ± 2.11 / 83.40 ± 1.46 41.14 ± 1.18 / 47.18 ± 0.98 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,890 ± 401 / 1,155 ± 348 2.30 2.10 2.73 2.08 50.40 ± 2.92 / 38.57 ± 2.82 52.30 ± 2.65 / 64.19 ± 2.60 21.30 ± 3.52 / 47.78 ± 4.14 58.17 ± 1.71 / 63.79 ± 1.42 53.96 ± 3.37 / 49.84 ± 3.30 63.45 ± 2.27 / 53.13 ± 3.43 52.70 ± 4.58 / 66.82 ± 3.41 14.87 ± 3.37 / 40.83 ± 1.91 2.48 ± 3.31 / 35.61 ± 1.83 41.43 ± 3.34 / 67.26 ± 2.73 52.96 ± 3.45 / 41.51 ± 4.30 76.99 ± 2.37 / 76.84 ± 2.99 14.27 ± 4.36 / 40.60 ± 3.04 59.92 ± 1.64 / 64.87 ± 1.47 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 12.5.2
meta-llama/Llama-3.1-8B-Instruct (few-shot) 8030 128 131072 True 1,473 ± 377 / 283 ± 96 2.30 2.03 2.80 2.06 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 64.55 ± 1.69 / 56.81 ± 2.50 66.44 ± 1.38 / 60.02 ± 3.36 35.17 ± 0.32 / 38.11 ± 0.29 27.41 ± 1.97 / 54.94 ± 2.06 15.60 ± 2.05 / 46.51 ± 2.41 43.11 ± 2.22 / 69.74 ± 1.60 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 14.0.3 14.0.3 14.0.3 14.0.3 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.0.4
timpal0l/Llama-3-8B-flashback-v1 (few-shot) 8030 128 8192 True 3,004 ± 771 / 534 ± 179 2.30 2.29 2.67 1.93 46.59 ± 4.16 / 31.16 ± 3.95 50.25 ± 1.25 / 66.18 ± 1.01 14.46 ± 2.48 / 50.96 ± 4.22 56.86 ± 1.23 / 62.50 ± 0.92 59.09 ± 1.89 / 52.82 ± 2.60 60.02 ± 1.44 / 52.04 ± 2.63 47.58 ± 1.91 / 64.35 ± 1.95 10.52 ± 4.67 / 46.13 ± 6.95 6.67 ± 4.53 / 40.61 ± 5.40 49.89 ± 4.89 / 71.90 ± 4.09 57.01 ± 1.71 / 43.34 ± 3.83 81.97 ± 0.56 / 81.46 ± 0.69 31.16 ± 1.80 / 59.86 ± 3.31 53.99 ± 1.82 / 60.85 ± 1.80 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 14.1.1 14.1.2 14.1.2 14.1.1
Geotrend/bert-base-25lang-cased 151 85 512 True 13,908 ± 3,201 / 2,700 ± 872 2.31 2.52 2.34 2.06 62.53 ± 2.60 / 58.99 ± 2.88 32.88 ± 1.24 / 53.56 ± 1.47 29.01 ± 11.25 / 61.89 ± 6.94 39.51 ± 1.53 / 44.11 ± 1.58 87.99 ± 1.24 / 84.84 ± 1.42 83.10 ± 1.12 / 79.18 ± 1.45 36.21 ± 1.82 / 49.48 ± 2.69 46.43 ± 1.81 / 71.65 ± 1.39 39.82 ± 2.81 / 68.68 ± 1.81 40.01 ± 1.58 / 53.12 ± 1.81 75.62 ± 1.56 / 70.17 ± 1.46 62.50 ± 1.10 / 60.57 ± 2.75 38.18 ± 7.03 / 66.99 ± 4.92 40.96 ± 1.11 / 45.91 ± 1.20 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/bert-base-en-fr-de-no-da-cased 118 42 512 True 13,973 ± 3,205 / 2,725 ± 884 2.31 2.34 2.46 2.12 63.38 ± 2.39 / 59.20 ± 1.98 34.78 ± 1.49 / 55.59 ± 0.92 41.08 ± 7.28 / 69.77 ± 3.75 40.32 ± 0.81 / 44.89 ± 0.76 88.05 ± 0.85 / 84.88 ± 1.05 83.08 ± 1.50 / 79.06 ± 1.70 35.34 ± 1.88 / 48.31 ± 2.28 31.45 ± 12.12 / 63.68 ± 6.21 36.12 ± 8.59 / 66.98 ± 4.91 41.59 ± 2.45 / 54.67 ± 2.65 76.55 ± 1.28 / 70.38 ± 1.01 61.60 ± 1.38 / 62.28 ± 3.13 37.44 ± 6.65 / 66.67 ± 4.88 39.32 ± 1.25 / 43.87 ± 1.29 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/bert-base-en-no-cased 111 33 512 True 14,081 ± 3,231 / 2,748 ± 891 2.31 2.37 2.44 2.12 62.66 ± 1.84 / 58.60 ± 1.78 33.91 ± 1.43 / 54.87 ± 1.38 40.96 ± 4.05 / 69.68 ± 2.12 39.93 ± 2.55 / 44.63 ± 2.71 89.07 ± 1.08 / 85.89 ± 1.04 82.69 ± 0.90 / 79.22 ± 0.93 34.97 ± 1.74 / 48.21 ± 2.02 39.58 ± 5.70 / 67.91 ± 3.00 31.27 ± 9.57 / 62.81 ± 7.17 41.89 ± 1.64 / 55.17 ± 2.07 75.33 ± 0.99 / 69.89 ± 0.52 61.80 ± 1.76 / 58.93 ± 3.28 36.62 ± 5.98 / 66.91 ± 3.69 39.95 ± 1.95 / 44.71 ± 1.99 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
timpal0l/BeagleCatMunin2 (few-shot, val) 7242 32 32768 False 2,477 ± 459 / 767 ± 241 2.31 2.25 2.56 2.13 51.53 ± 2.82 / 40.66 ± 2.30 47.95 ± 3.02 / 55.70 ± 3.32 14.10 ± 3.79 / 40.80 ± 3.64 58.28 ± 1.98 / 64.33 ± 1.60 61.17 ± 3.56 / 54.24 ± 3.45 65.44 ± 2.83 / 54.34 ± 3.95 58.69 ± 3.28 / 70.83 ± 2.49 15.03 ± 2.70 / 40.22 ± 1.66 5.95 ± 4.55 / 39.18 ± 2.91 42.42 ± 2.92 / 69.53 ± 3.17 60.87 ± 3.71 / 47.40 ± 5.32 73.72 ± 2.20 / 67.79 ± 2.37 6.78 ± 4.34 / 35.90 ± 2.11 58.75 ± 1.46 / 65.08 ± 1.15 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 12.5.2
ZurichNLP/unsup-simcse-xlm-roberta-base 278 250 512 True 34,520 ± 7,443 / 6,730 ± 2,224 2.32 2.44 2.48 2.05 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 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
birgermoell/Rapid-Cycling (few-shot, val) 7242 32 32768 False 2,346 ± 450 / 666 ± 249 2.33 2.15 2.78 2.07 49.99 ± 2.62 / 38.37 ± 3.04 51.25 ± 2.70 / 62.67 ± 2.82 20.66 ± 5.69 / 49.98 ± 4.94 56.82 ± 1.75 / 62.40 ± 1.40 55.93 ± 2.70 / 50.51 ± 3.15 63.85 ± 2.45 / 53.11 ± 4.11 50.41 ± 5.49 / 64.49 ± 4.37 15.74 ± 4.15 / 41.16 ± 2.21 2.23 ± 4.69 / 34.70 ± 1.39 39.81 ± 2.81 / 65.65 ± 2.64 53.66 ± 3.57 / 41.97 ± 4.83 77.72 ± 2.51 / 78.40 ± 2.65 16.22 ± 4.46 / 43.17 ± 3.88 59.75 ± 1.13 / 64.72 ± 1.04 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 12.5.2
facebook/xlm-v-base 778 902 512 True 25,396 ± 6,394 / 4,534 ± 1,421 2.33 2.22 2.78 2.00 71.42 ± 2.68 / 66.61 ± 1.99 31.86 ± 8.76 / 47.51 ± 8.94 52.95 ± 11.68 / 73.96 ± 8.89 34.66 ± 1.64 / 40.58 ± 1.63 89.99 ± 1.32 / 87.51 ± 1.20 78.60 ± 3.17 / 74.97 ± 3.56 17.93 ± 14.48 / 34.24 ± 10.14 43.46 ± 17.47 / 66.52 ± 12.26 10.97 ± 10.84 / 43.47 ± 9.81 43.74 ± 2.17 / 59.80 ± 1.86 68.39 ± 7.26 / 63.66 ± 6.41 73.43 ± 0.91 / 61.29 ± 1.81 45.09 ± 15.90 / 68.48 ± 11.31 38.04 ± 2.09 / 43.73 ± 1.83 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
mgoin/Nemotron-4-340B-Instruct-hf-FP8 (few-shot) 341029 256 4096 True 1,904 ± 475 / 361 ± 121 2.33 2.24 2.60 2.15 48.24 ± 9.94 / 31.90 ± 6.18 39.52 ± 7.04 / 57.63 ± 7.05 62.92 ± 7.59 / 79.60 ± 5.59 36.92 ± 4.33 / 50.43 ± 5.70 56.41 ± 4.08 / 40.15 ± 2.52 55.60 ± 10.22 / 41.46 ± 7.34 25.18 ± 6.55 / 26.60 ± 5.64 62.56 ± 12.80 / 78.17 ± 9.21 53.09 ± 12.43 / 72.49 ± 10.07 42.57 ± 3.25 / 68.49 ± 4.62 48.92 ± 3.54 / 30.97 ± 2.58 62.08 ± 12.16 / 66.00 ± 9.89 68.93 ± 11.34 / 82.77 ± 8.76 36.40 ± 6.01 / 45.68 ± 7.55 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
NorwAI/NorwAI-Mixtral-8x7B-instruct (few-shot) 46998 68 32768 True 9,015 ± 2,966 / 1,121 ± 510 2.35 2.63 2.57 1.84 49.18 ± 2.27 / 32.04 ± 1.45 49.76 ± 1.76 / 64.54 ± 1.57 41.28 ± 3.88 / 66.46 ± 4.23 12.83 ± 5.44 / 40.81 ± 3.18 58.05 ± 2.37 / 42.27 ± 2.34 59.65 ± 1.56 / 42.70 ± 2.35 57.94 ± 2.51 / 71.75 ± 2.43 51.36 ± 5.61 / 73.74 ± 5.30 42.84 ± 3.95 / 70.80 ± 2.32 14.72 ± 3.35 / 53.03 ± 2.43 57.66 ± 1.75 / 36.87 ± 4.27 80.04 ± 0.73 / 80.11 ± 0.89 45.21 ± 3.06 / 70.61 ± 2.93 52.73 ± 2.46 / 63.63 ± 1.65 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
jonfd/electra-small-nordic 22 96 128 True 5,989 ± 120 / 3,809 ± 1,230 2.35 2.50 2.36 2.19 65.40 ± 2.02 / 60.53 ± 1.65 34.43 ± 4.13 / 51.90 ± 6.17 67.27 ± 1.04 / 83.37 ± 0.64 6.60 ± 2.98 / 7.09 ± 3.29 84.95 ± 0.58 / 81.68 ± 0.65 79.57 ± 1.49 / 74.62 ± 1.92 40.15 ± 1.15 / 46.26 ± 0.47 72.87 ± 1.11 / 85.86 ± 0.63 63.77 ± 1.27 / 81.62 ± 0.65 14.16 ± 4.55 / 19.70 ± 6.40 71.07 ± 1.59 / 65.46 ± 1.28 66.42 ± 0.72 / 57.57 ± 1.23 69.19 ± 0.66 / 84.26 ± 0.36 11.85 ± 4.94 / 13.02 ± 5.55 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
microsoft/xlm-align-base 278 250 512 True 14,744 ± 2,870 / 3,265 ± 1,053 2.35 2.48 2.29 2.27 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.35 2.24 2.68 2.14 53.02 ± 2.85 / 41.35 ± 3.42 51.29 ± 3.42 / 66.57 ± 2.46 19.73 ± 4.11 / 57.07 ± 3.09 51.69 ± 2.29 / 61.26 ± 1.32 62.47 ± 2.56 / 57.71 ± 3.02 66.69 ± 2.91 / 58.83 ± 3.70 54.04 ± 2.91 / 66.46 ± 2.59 16.75 ± 4.54 / 49.11 ± 4.45 13.00 ± 4.46 / 49.33 ± 2.69 34.48 ± 2.13 / 65.43 ± 2.07 61.25 ± 3.35 / 50.76 ± 5.94 76.03 ± 2.11 / 78.25 ± 1.95 16.28 ± 4.81 / 49.04 ± 3.60 50.96 ± 2.34 / 60.05 ± 1.18 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 12.5.2
Geotrend/bert-base-en-da-cased 111 33 512 True 14,062 ± 3,216 / 2,733 ± 885 2.36 2.45 2.51 2.12 62.57 ± 1.98 / 59.39 ± 2.04 33.67 ± 1.54 / 54.48 ± 1.19 35.79 ± 9.58 / 65.87 ± 5.46 38.77 ± 2.23 / 43.26 ± 2.39 88.55 ± 0.85 / 85.29 ± 1.04 83.09 ± 1.06 / 79.27 ± 1.21 35.16 ± 1.75 / 48.41 ± 2.71 31.82 ± 8.92 / 62.98 ± 6.52 32.94 ± 5.88 / 64.36 ± 4.59 39.46 ± 1.70 / 52.33 ± 1.94 74.88 ± 1.45 / 69.57 ± 1.83 61.89 ± 0.90 / 60.17 ± 3.06 40.22 ± 2.03 / 68.89 ± 2.06 39.95 ± 0.82 / 44.78 ± 0.99 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
birgermoell/Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,887 ± 403 / 1,144 ± 345 2.36 2.29 2.75 2.03 47.71 ± 3.50 / 35.65 ± 3.07 48.21 ± 3.58 / 60.08 ± 3.41 19.55 ± 5.35 / 50.98 ± 5.74 56.46 ± 1.48 / 61.69 ± 1.28 56.44 ± 3.14 / 50.10 ± 4.61 66.56 ± 2.40 / 54.48 ± 4.93 53.24 ± 4.75 / 67.94 ± 3.75 11.96 ± 2.46 / 37.26 ± 1.15 2.50 ± 4.21 / 35.26 ± 1.79 39.21 ± 3.48 / 64.09 ± 3.49 55.29 ± 3.95 / 41.59 ± 4.48 78.29 ± 1.83 / 78.77 ± 2.06 18.45 ± 3.00 / 46.38 ± 2.81 58.42 ± 1.64 / 63.83 ± 1.18 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 12.5.2
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) 7242 32 32768 False 2,903 ± 407 / 1,157 ± 350 2.36 2.48 2.45 2.15 51.85 ± 3.08 / 40.02 ± 2.48 44.02 ± 2.44 / 47.74 ± 1.98 1.22 ± 4.99 / 34.29 ± 1.62 57.69 ± 2.29 / 64.09 ± 1.68 63.33 ± 2.69 / 53.24 ± 3.41 68.84 ± 1.87 / 53.85 ± 3.78 58.28 ± 3.11 / 69.79 ± 2.39 18.65 ± 3.84 / 45.34 ± 2.61 10.72 ± 5.52 / 43.91 ± 3.48 44.39 ± 3.95 / 70.76 ± 3.10 63.85 ± 2.67 / 47.77 ± 4.72 73.72 ± 2.98 / 62.83 ± 1.64 -0.56 ± 2.24 / 33.54 ± 1.03 60.10 ± 1.48 / 66.26 ± 1.19 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 12.5.2
birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) 7242 32 32768 False 2,856 ± 391 / 1,142 ± 342 2.36 2.48 2.45 2.15 51.85 ± 3.08 / 40.02 ± 2.48 44.02 ± 2.44 / 47.74 ± 1.98 1.22 ± 4.99 / 34.29 ± 1.62 57.69 ± 2.29 / 64.09 ± 1.68 63.33 ± 2.69 / 53.24 ± 3.41 68.84 ± 1.87 / 53.85 ± 3.78 58.28 ± 3.11 / 69.79 ± 2.39 18.65 ± 3.84 / 45.34 ± 2.61 10.72 ± 5.52 / 43.91 ± 3.48 44.39 ± 3.95 / 70.76 ± 3.10 63.85 ± 2.67 / 47.77 ± 4.72 73.72 ± 2.98 / 62.83 ± 1.64 -0.56 ± 2.24 / 33.54 ± 1.03 60.10 ± 1.48 / 66.26 ± 1.19 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 12.5.2
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 1,483 ± 377 / 287 ± 97 2.36 2.22 2.71 2.16 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 66.56 ± 1.70 / 58.47 ± 2.40 68.29 ± 1.47 / 61.22 ± 2.25 34.47 ± 0.44 / 37.96 ± 0.40 28.22 ± 1.37 / 59.51 ± 1.44 18.21 ± 2.21 / 52.84 ± 2.30 47.34 ± 1.99 / 73.23 ± 1.29 69.67 ± 1.30 / 52.94 ± 4.01 59.93 ± 4.70 / 67.54 ± 3.04 27.63 ± 3.19 / 60.85 ± 3.29 49.84 ± 1.61 / 60.85 ± 0.93 12.6.1 12.6.1 12.6.1 12.6.1 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 12.6.1 12.6.1 12.6.1 12.6.1
AI-Sweden-Models/tyr (few-shot, val) 7242 32 32768 False 6,079 ± 1,051 / 1,760 ± 570 2.37 2.28 2.80 2.03 47.01 ± 2.76 / 36.47 ± 3.27 50.60 ± 3.33 / 65.49 ± 2.38 13.73 ± 3.33 / 52.15 ± 3.17 56.35 ± 1.68 / 61.63 ± 1.33 58.60 ± 4.42 / 52.72 ± 4.93 63.15 ± 2.29 / 54.03 ± 4.33 51.85 ± 3.51 / 64.28 ± 2.54 0.66 ± 1.29 / 33.42 ± 0.80 0.53 ± 1.05 / 33.42 ± 0.73 43.22 ± 2.24 / 68.55 ± 2.42 56.21 ± 2.49 / 44.78 ± 4.19 78.30 ± 1.71 / 79.80 ± 2.03 14.35 ± 5.65 / 48.69 ± 4.30 61.08 ± 1.47 / 65.72 ± 1.07 12.5.2 12.3.2 12.3.2 12.3.2 12.5.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2
merge-crew/da-sv-ties (few-shot, val) 7242 32 32768 True 2,457 ± 451 / 757 ± 237 2.37 2.28 2.74 2.10 45.39 ± 2.46 / 34.45 ± 2.56 51.95 ± 2.65 / 65.69 ± 2.11 13.25 ± 6.27 / 45.66 ± 5.58 58.51 ± 1.35 / 62.73 ± 1.19 47.61 ± 2.50 / 42.16 ± 2.82 60.57 ± 2.02 / 48.89 ± 4.48 44.46 ± 4.10 / 52.31 ± 4.53 23.99 ± 5.54 / 60.60 ± 2.74 11.60 ± 3.18 / 53.40 ± 2.75 47.02 ± 3.37 / 69.07 ± 2.64 48.36 ± 3.07 / 34.48 ± 5.22 76.57 ± 2.19 / 78.11 ± 2.73 20.94 ± 5.55 / 44.72 ± 4.06 59.07 ± 1.90 / 63.87 ± 1.46 10.0.1 10.0.1 10.0.1 10.0.1 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
timpal0l/njord-alpha (few-shot) 7242 32 32768 True 5,431 ± 1,267 / 1,139 ± 365 2.37 2.39 2.72 2.00 38.25 ± 3.75 / 28.14 ± 3.06 39.37 ± 2.09 / 56.57 ± 1.90 29.76 ± 3.24 / 61.80 ± 2.22 57.02 ± 1.28 / 63.16 ± 0.90 50.47 ± 2.96 / 43.31 ± 2.54 51.97 ± 3.83 / 42.66 ± 5.03 48.03 ± 1.71 / 65.89 ± 1.68 22.65 ± 3.80 / 51.83 ± 5.03 17.10 ± 4.78 / 49.03 ± 6.45 44.72 ± 4.47 / 68.08 ± 4.22 48.19 ± 2.55 / 37.50 ± 3.62 79.95 ± 0.87 / 81.24 ± 0.64 32.85 ± 2.28 / 61.74 ± 3.05 57.39 ± 1.52 / 63.58 ± 1.19 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
utter-project/EuroLLM-9B-Instruct (few-shot) 9152 128 4096 False 1,483 ± 321 / 379 ± 158 2.37 2.21 2.77 2.13 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 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
CohereForAI/aya-expanse-8b (few-shot) 8028 256 8192 False 2,686 ± 685 / 491 ± 164 2.38 2.22 2.79 2.14 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 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-3.0-8b-base (few-shot) 8171 49 4097 True 2,515 ± 625 / 476 ± 159 2.38 2.31 2.68 2.16 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 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
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) 7242 32 32768 True 2,515 ± 465 / 785 ± 247 2.39 2.33 2.70 2.13 46.03 ± 3.93 / 34.23 ± 2.86 49.59 ± 3.26 / 63.45 ± 2.61 12.72 ± 3.51 / 46.56 ± 5.33 57.03 ± 1.13 / 61.58 ± 1.01 47.26 ± 3.76 / 40.22 ± 3.43 59.35 ± 2.82 / 45.26 ± 3.91 54.93 ± 3.49 / 68.45 ± 2.61 9.00 ± 2.87 / 37.53 ± 2.91 5.26 ± 3.15 / 39.01 ± 3.54 45.95 ± 3.12 / 68.00 ± 3.07 45.12 ± 2.72 / 30.73 ± 4.55 78.74 ± 2.13 / 80.11 ± 2.64 19.74 ± 6.09 / 46.97 ± 5.83 60.15 ± 1.71 / 65.22 ± 1.28 10.0.1 10.0.1 10.0.1 10.0.1 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
mistralai/Mixtral-8x7B-Instruct-v0.1 (few-shot) 46703 32 32768 True 5,535 ± 1,837 / 760 ± 256 2.39 2.15 2.85 2.18 51.20 ± 3.31 / 30.53 ± 2.46 50.95 ± 1.15 / 66.13 ± 0.87 33.44 ± 1.67 / 64.34 ± 1.32 46.85 ± 1.67 / 61.54 ± 1.02 55.02 ± 2.74 / 36.31 ± 1.97 57.37 ± 2.34 / 38.25 ± 2.37 36.76 ± 0.69 / 38.81 ± 0.52 30.73 ± 1.86 / 63.33 ± 2.10 18.96 ± 2.45 / 52.64 ± 4.21 41.01 ± 2.00 / 70.24 ± 1.75 46.15 ± 1.63 / 25.08 ± 1.69 80.33 ± 0.51 / 79.04 ± 0.76 32.89 ± 2.06 / 64.41 ± 1.78 46.51 ± 1.69 / 61.35 ± 1.02 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
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 2.39 2.37 2.81 1.99 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 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
Geotrend/bert-base-da-cased 104 23 512 True 15,432 ± 2,838 / 3,642 ± 1,189 2.41 2.51 2.56 2.17 62.76 ± 1.92 / 58.88 ± 1.74 32.06 ± 1.44 / 52.57 ± 1.80 30.95 ± 11.93 / 63.72 ± 6.84 37.79 ± 2.37 / 42.36 ± 2.56 87.52 ± 0.63 / 83.86 ± 0.68 82.66 ± 1.64 / 78.65 ± 2.01 32.73 ± 1.37 / 46.52 ± 1.86 36.41 ± 8.89 / 65.20 ± 6.41 30.37 ± 5.50 / 62.12 ± 5.66 37.71 ± 1.11 / 49.90 ± 1.47 74.13 ± 1.17 / 68.93 ± 1.36 62.18 ± 1.26 / 59.44 ± 2.35 36.93 ± 6.47 / 65.97 ± 6.05 37.59 ± 1.99 / 41.94 ± 2.23 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) 7242 32 32768 False 3,008 ± 429 / 991 ± 323 2.41 2.31 2.85 2.06 50.83 ± 2.28 / 36.96 ± 2.58 43.41 ± 2.56 / 48.74 ± 2.83 19.72 ± 4.69 / 52.71 ± 5.26 57.87 ± 2.32 / 64.53 ± 1.73 53.68 ± 2.01 / 49.22 ± 2.67 61.92 ± 4.06 / 49.03 ± 3.97 47.78 ± 3.19 / 57.76 ± 2.55 0.91 ± 1.78 / 33.51 ± 0.85 1.24 ± 1.66 / 33.71 ± 0.94 47.76 ± 2.93 / 70.99 ± 2.39 59.36 ± 2.75 / 47.08 ± 4.17 72.04 ± 3.27 / 63.83 ± 2.07 22.38 ± 7.17 / 54.70 ± 5.49 57.96 ± 2.00 / 64.06 ± 1.76 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2 12.5.2
meta-llama/Llama-3.1-8B (few-shot) 8030 128 131072 True 2,986 ± 823 / 276 ± 94 2.41 2.27 2.93 2.04 50.92 ± 1.88 / 34.24 ± 2.85 47.86 ± 1.66 / 62.47 ± 1.97 29.19 ± 2.02 / 59.61 ± 3.20 48.38 ± 5.07 / 55.27 ± 4.71 65.17 ± 2.02 / 52.91 ± 2.25 60.22 ± 2.29 / 50.51 ± 3.15 34.02 ± 0.93 / 37.19 ± 0.86 32.48 ± 3.31 / 63.48 ± 2.97 18.38 ± 4.77 / 49.87 ± 5.55 33.06 ± 4.39 / 58.56 ± 4.32 62.19 ± 2.34 / 43.29 ± 4.62 80.31 ± 0.45 / 76.50 ± 1.19 30.29 ± 3.08 / 56.52 ± 4.71 42.78 ± 7.55 / 49.56 ± 7.91 14.0.3 14.1.2 14.1.2 14.0.3 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.0.4 14.1.2 14.1.2 14.0.4
KennethEnevoldsen/munin_mistral-7b (few-shot, val) 7242 32 32768 False 2,543 ± 466 / 787 ± 247 2.42 2.38 2.67 2.21 46.70 ± 3.49 / 36.30 ± 2.65 47.52 ± 3.90 / 55.98 ± 4.69 8.04 ± 5.32 / 36.02 ± 2.59 60.05 ± 1.30 / 64.15 ± 1.20 51.82 ± 4.16 / 44.64 ± 4.66 62.55 ± 3.84 / 49.66 ± 5.87 56.37 ± 4.27 / 69.55 ± 4.52 6.04 ± 5.92 / 36.34 ± 3.96 -0.02 ± 0.04 / 33.47 ± 0.88 48.85 ± 4.11 / 70.75 ± 3.73 52.34 ± 3.07 / 39.14 ± 4.60 77.66 ± 2.09 / 78.59 ± 2.41 6.00 ± 4.15 / 36.34 ± 2.20 60.16 ± 1.81 / 64.12 ± 1.59 12.5.2 12.3.1 12.3.1 12.3.2 12.5.2 12.5.2 12.3.1 12.3.2 12.3.2 12.3.2 12.5.2 12.3.1 12.3.1 12.3.2
mistralai/Ministral-8B-Instruct-2410 (few-shot) 8020 131 32768 True 1,302 ± 323 / 253 ± 86 2.43 2.27 2.84 2.18 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 67.24 ± 1.06 / 45.38 ± 2.20 66.08 ± 1.05 / 47.58 ± 3.27 31.41 ± 0.86 / 33.56 ± 0.97 28.72 ± 2.42 / 58.62 ± 3.68 20.55 ± 3.71 / 54.24 ± 4.15 40.60 ± 2.39 / 68.91 ± 2.08 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 14.0.3 14.0.3 14.0.3 14.0.3 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 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 2.44 2.37 2.73 2.21 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 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/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 1,477 ± 376 / 285 ± 97 2.44 2.26 3.01 2.05 49.46 ± 1.88 / 32.11 ± 2.41 51.16 ± 2.15 / 67.00 ± 1.51 23.01 ± 3.93 / 49.99 ± 4.63 49.75 ± 5.10 / 56.13 ± 4.89 62.89 ± 2.01 / 50.34 ± 1.92 56.18 ± 3.26 / 47.30 ± 2.62 33.07 ± 0.73 / 37.60 ± 0.49 30.73 ± 3.19 / 64.06 ± 2.41 20.57 ± 3.62 / 54.22 ± 5.15 30.77 ± 4.33 / 54.66 ± 4.41 59.92 ± 2.46 / 40.98 ± 4.90 80.91 ± 0.41 / 78.09 ± 1.22 26.39 ± 3.47 / 52.38 ± 4.49 47.69 ± 6.29 / 54.30 ± 6.65 14.0.3 14.1.2 14.1.2 14.0.3 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.0.4 14.1.2 14.1.2 14.0.4
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.44 2.31 2.68 2.32 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 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
AI-Sweden-Models/Llama-3-8B (few-shot) 8030 128 8192 True 4,141 ± 994 / 905 ± 299 2.45 2.38 2.80 2.16 36.72 ± 3.33 / 27.73 ± 2.57 46.48 ± 1.17 / 55.20 ± 2.51 26.10 ± 3.17 / 59.19 ± 3.94 58.00 ± 0.91 / 64.11 ± 0.64 44.53 ± 2.58 / 36.59 ± 1.71 47.02 ± 2.08 / 39.99 ± 2.76 41.84 ± 2.46 / 56.79 ± 2.95 19.97 ± 3.99 / 47.40 ± 4.84 15.61 ± 4.20 / 43.40 ± 4.90 50.91 ± 4.42 / 73.43 ± 3.55 36.45 ± 2.44 / 27.24 ± 2.29 81.12 ± 1.02 / 77.04 ± 2.74 26.80 ± 2.07 / 59.15 ± 2.72 58.16 ± 0.82 / 64.72 ± 0.72 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
Mabeck/Heidrun-Mistral-7B-chat (few-shot) 7242 32 4096 False 1,419 ± 349 / 286 ± 97 2.45 2.63 2.63 2.08 51.93 ± 1.66 / 34.88 ± 2.57 49.86 ± 1.51 / 65.11 ± 1.52 20.25 ± 3.13 / 52.74 ± 4.16 25.84 ± 5.68 / 35.74 ± 5.40 61.41 ± 1.71 / 52.32 ± 2.63 59.49 ± 1.26 / 49.45 ± 3.31 49.19 ± 1.64 / 63.36 ± 1.52 15.17 ± 2.64 / 50.25 ± 4.51 10.78 ± 1.99 / 50.08 ± 4.20 48.99 ± 2.91 / 73.08 ± 2.26 55.06 ± 2.38 / 41.39 ± 4.31 77.50 ± 0.90 / 73.87 ± 1.21 17.47 ± 2.33 / 47.73 ± 3.35 58.67 ± 0.96 / 64.58 ± 0.78 14.0.3 14.0.3 14.0.3 14.0.3 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 12.5.0 10.0.1 10.0.1 10.0.1 12.5.0
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) 7242 32 8192 True 6,113 ± 1,044 / 1,790 ± 579 2.45 2.48 2.79 2.09 39.12 ± 4.28 / 28.74 ± 2.75 36.47 ± 4.90 / 50.72 ± 6.21 26.76 ± 4.78 / 57.02 ± 5.13 58.75 ± 1.19 / 64.41 ± 0.77 50.43 ± 2.27 / 42.19 ± 3.03 54.20 ± 1.81 / 43.92 ± 2.94 39.21 ± 5.64 / 56.54 ± 6.43 20.51 ± 4.43 / 52.48 ± 5.96 11.66 ± 4.10 / 48.13 ± 6.13 51.57 ± 3.87 / 73.95 ± 3.51 47.10 ± 2.60 / 35.06 ± 3.65 73.05 ± 5.27 / 74.56 ± 4.19 30.29 ± 2.63 / 61.40 ± 3.22 57.39 ± 1.38 / 63.51 ± 1.04 12.5.2 12.4.0 12.4.0 12.4.0 12.5.2 12.5.2 12.4.0 12.4.0 12.4.0 12.4.0 12.5.2 12.4.0 12.4.0 12.4.0
microsoft/infoxlm-base 278 250 512 True 34,735 ± 7,558 / 6,846 ± 2,312 2.45 2.53 2.50 2.33 69.78 ± 1.59 / 65.83 ± 2.08 46.78 ± 1.57 / 64.46 ± 1.17 11.27 ± 2.21 / 51.47 ± 2.07 28.28 ± 4.63 / 33.33 ± 4.10 90.14 ± 0.97 / 87.71 ± 1.24 84.12 ± 1.85 / 80.21 ± 2.19 44.42 ± 13.10 / 57.73 ± 11.86 11.20 ± 2.99 / 48.77 ± 5.01 7.12 ± 2.39 / 49.23 ± 4.14 47.69 ± 1.95 / 62.39 ± 1.74 79.43 ± 1.07 / 74.17 ± 1.10 71.48 ± 2.63 / 65.72 ± 4.78 7.26 ± 2.18 / 45.42 ± 4.53 33.72 ± 1.71 / 38.23 ± 1.57 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
google/gemma-7b (few-shot) 8538 256 8192 True 1,378 ± 260 / 387 ± 119 2.46 2.46 2.92 2.00 19.59 ± 2.54 / 15.47 ± 2.19 46.55 ± 1.89 / 59.52 ± 3.56 32.64 ± 2.91 / 63.84 ± 1.69 59.40 ± 1.02 / 64.81 ± 0.91 26.43 ± 3.36 / 26.32 ± 2.35 32.66 ± 3.42 / 29.43 ± 1.74 41.82 ± 3.69 / 53.06 ± 5.15 25.82 ± 4.43 / 59.85 ± 4.07 20.16 ± 3.43 / 53.83 ± 5.61 52.68 ± 3.58 / 75.16 ± 2.44 43.68 ± 3.65 / 29.40 ± 3.10 77.72 ± 4.50 / 77.58 ± 4.13 36.25 ± 2.66 / 65.08 ± 2.92 58.62 ± 0.98 / 64.23 ± 0.88 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1
KBLab/megatron-bert-base-swedish-cased-125k 135 64 512 True 15,763 ± 2,523 / 4,238 ± 1,370 2.48 2.81 3.01 1.61 53.93 ± 1.88 / 52.04 ± 1.64 36.31 ± 1.60 / 57.37 ± 1.15 23.46 ± 1.17 / 58.91 ± 1.36 27.85 ± 2.53 / 34.34 ± 2.51 77.98 ± 1.58 / 75.03 ± 1.70 75.00 ± 1.28 / 71.00 ± 1.64 33.88 ± 1.40 / 49.21 ± 1.98 24.23 ± 1.83 / 58.89 ± 1.43 18.18 ± 2.65 / 57.28 ± 1.84 20.56 ± 1.82 / 30.08 ± 2.54 79.29 ± 0.94 / 73.18 ± 0.95 75.85 ± 0.54 / 70.58 ± 1.96 70.43 ± 1.03 / 83.85 ± 0.65 37.56 ± 0.64 / 44.01 ± 0.43 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Mabeck/Heidrun-Mistral-7B-base (few-shot) 7242 32 32768 True 3,823 ± 967 / 860 ± 280 2.48 2.46 2.87 2.12 40.14 ± 2.41 / 28.08 ± 1.67 39.38 ± 1.56 / 49.16 ± 2.84 21.85 ± 3.24 / 53.75 ± 4.63 58.07 ± 1.13 / 63.63 ± 0.69 50.10 ± 2.16 / 41.80 ± 2.77 54.81 ± 1.88 / 45.95 ± 3.21 48.64 ± 2.14 / 66.06 ± 1.47 10.31 ± 3.46 / 43.68 ± 5.10 1.11 ± 2.48 / 36.52 ± 2.31 42.20 ± 3.02 / 65.18 ± 2.86 48.43 ± 2.75 / 35.31 ± 2.80 79.43 ± 0.85 / 78.21 ± 1.69 17.37 ± 2.57 / 52.91 ± 4.93 57.05 ± 1.22 / 62.72 ± 0.89 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 2.49 2.38 2.90 2.19 43.65 ± 2.87 / 32.21 ± 2.13 45.86 ± 1.63 / 61.89 ± 1.57 15.19 ± 3.67 / 46.19 ± 5.60 59.14 ± 0.90 / 64.43 ± 0.58 50.63 ± 2.12 / 44.59 ± 1.80 52.69 ± 2.30 / 46.51 ± 3.63 44.05 ± 2.51 / 61.80 ± 2.28 11.60 ± 4.10 / 43.01 ± 5.07 9.26 ± 1.14 / 46.28 ± 3.60 45.23 ± 3.73 / 68.68 ± 3.29 48.96 ± 2.72 / 39.25 ± 3.69 78.90 ± 0.95 / 78.62 ± 1.08 10.82 ± 3.46 / 38.95 ± 3.80 58.91 ± 1.02 / 64.72 ± 0.76 12.5.2 12.5.1 12.5.1 12.5.1 12.5.2 12.5.2 12.5.1 12.5.1 12.5.1 12.5.1 12.5.2 12.5.1 12.5.1 12.5.1
mhenrichsen/hestenettetLM (few-shot) 7242 32 32768 True 1,151 ± 294 / 227 ± 76 2.49 2.51 2.77 2.18 44.90 ± 3.15 / 31.91 ± 2.65 42.61 ± 1.79 / 53.47 ± 3.00 8.65 ± 3.44 / 38.18 ± 4.21 59.62 ± 1.12 / 64.70 ± 0.75 52.52 ± 1.85 / 43.46 ± 2.21 55.60 ± 3.22 / 45.25 ± 4.20 48.23 ± 3.31 / 65.51 ± 3.01 8.53 ± 3.72 / 38.61 ± 3.22 6.65 ± 1.40 / 39.32 ± 2.51 46.89 ± 3.29 / 70.96 ± 2.84 53.00 ± 2.53 / 39.09 ± 3.72 79.70 ± 0.65 / 79.45 ± 0.68 4.32 ± 2.19 / 34.43 ± 0.87 59.03 ± 1.03 / 64.74 ± 0.84 12.5.2 12.3.2 12.3.2 12.3.2 12.5.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 1,446 ± 354 / 295 ± 100 2.49 2.47 2.82 2.18 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 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
mistralai/Mistral-7B-v0.3 (few-shot) 7248 33 32768 True 1,364 ± 343 / 266 ± 90 2.49 2.38 2.90 2.19 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 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
CohereForAI/aya-23-8B (few-shot) 8028 256 8192 False 2,707 ± 688 / 497 ± 166 2.50 2.39 2.97 2.15 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 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
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) 7242 32 32768 False 3,006 ± 479 / 1,053 ± 319 2.50 2.41 2.87 2.22 45.37 ± 2.53 / 28.99 ± 2.18 39.63 ± 1.90 / 46.93 ± 2.68 21.77 ± 3.54 / 47.96 ± 4.57 58.28 ± 0.73 / 64.76 ± 0.47 51.99 ± 1.85 / 37.40 ± 2.95 52.74 ± 1.13 / 36.83 ± 1.95 50.39 ± 1.38 / 66.42 ± 1.20 0.99 ± 1.03 / 33.56 ± 0.25 1.27 ± 1.30 / 34.04 ± 0.45 47.95 ± 3.19 / 72.60 ± 2.57 44.64 ± 1.66 / 31.30 ± 2.96 77.98 ± 1.01 / 72.79 ± 2.47 16.57 ± 2.58 / 51.86 ± 3.69 57.31 ± 0.92 / 63.73 ± 1.04 11.0.0 11.0.0 11.0.0 12.4.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 12.4.0 11.0.0 11.0.0 11.0.0 12.4.0
Twitter/twhin-bert-base 279 250 512 True 11,514 ± 2,041 / 2,862 ± 918 2.50 2.52 2.85 2.13 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 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
meta-llama/Llama-2-13b-chat-hf (few-shot) 13016 32 4096 True 2,849 ± 622 / 723 ± 229 2.51 2.40 2.95 2.18 44.00 ± 2.63 / 29.00 ± 2.26 45.41 ± 1.79 / 62.27 ± 2.34 16.17 ± 2.17 / 56.93 ± 1.29 57.06 ± 0.83 / 63.94 ± 0.49 57.21 ± 1.51 / 40.40 ± 2.79 59.62 ± 1.34 / 41.07 ± 2.58 38.93 ± 3.56 / 57.45 ± 3.77 8.65 ± 3.33 / 47.18 ± 3.98 5.92 ± 1.58 / 47.50 ± 3.58 42.32 ± 2.80 / 69.24 ± 2.68 49.90 ± 2.28 / 35.48 ± 3.44 77.19 ± 2.05 / 79.13 ± 1.43 14.67 ± 2.27 / 53.90 ± 2.24 57.12 ± 0.70 / 63.72 ± 0.73 12.10.5 12.10.4 12.10.4 12.11.0 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.11.0 12.10.5 12.10.4 12.10.4 12.11.0
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.53 2.42 2.80 2.38 52.72 ± 2.21 / 39.49 ± 3.47 49.11 ± 3.91 / 64.78 ± 2.61 16.09 ± 3.74 / 54.94 ± 2.92 46.28 ± 1.53 / 56.13 ± 1.09 61.90 ± 2.57 / 57.16 ± 2.81 66.92 ± 2.52 / 57.81 ± 3.54 48.80 ± 4.56 / 63.38 ± 3.06 19.53 ± 5.49 / 51.96 ± 4.90 9.83 ± 4.57 / 47.95 ± 2.22 30.27 ± 2.28 / 62.04 ± 2.19 60.53 ± 3.06 / 48.45 ± 5.19 67.03 ± 3.61 / 70.77 ± 1.95 15.10 ± 4.60 / 48.57 ± 2.91 42.46 ± 1.63 / 53.50 ± 1.40 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
flax-community/nordic-roberta-wiki 125 50 512 True 16,227 ± 2,650 / 4,252 ± 1,393 2.54 2.50 2.98 2.15 60.82 ± 2.03 / 57.64 ± 2.08 34.45 ± 0.78 / 55.56 ± 0.68 41.89 ± 9.80 / 70.04 ± 5.10 26.83 ± 1.26 / 31.55 ± 1.26 85.42 ± 0.61 / 82.31 ± 0.65 78.92 ± 1.42 / 74.86 ± 1.50 36.27 ± 1.57 / 50.95 ± 1.70 48.07 ± 5.64 / 72.00 ± 4.07 29.81 ± 3.52 / 64.03 ± 2.35 0.44 ± 0.41 / 1.08 ± 0.99 72.90 ± 1.37 / 66.93 ± 1.30 61.11 ± 1.28 / 58.97 ± 2.27 55.05 ± 1.64 / 76.76 ± 0.93 29.04 ± 1.16 / 33.60 ± 1.06 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
jhu-clsp/bernice 278 250 512 True 5,567 ± 450 / 2,483 ± 798 2.54 2.53 2.87 2.22 61.98 ± 2.00 / 58.30 ± 2.12 47.20 ± 1.34 / 64.51 ± 1.21 40.52 ± 7.38 / 67.99 ± 3.84 13.53 ± 4.79 / 15.93 ± 5.58 84.11 ± 1.13 / 81.19 ± 1.37 77.82 ± 1.28 / 73.93 ± 1.46 39.63 ± 1.06 / 49.23 ± 2.13 45.75 ± 3.27 / 71.33 ± 1.67 33.74 ± 2.91 / 63.89 ± 3.31 5.35 ± 3.79 / 7.65 ± 5.41 71.34 ± 0.91 / 65.04 ± 1.33 70.91 ± 1.23 / 67.12 ± 3.79 53.52 ± 1.22 / 76.15 ± 0.53 16.41 ± 4.10 / 18.47 ± 4.44 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
CohereForAI/c4ai-command-r-v01 (few-shot) 34981 256 8192 False 1,919 ± 645 / 248 ± 83 2.55 2.29 3.03 2.34 53.44 ± 1.53 / 33.98 ± 1.94 49.17 ± 1.04 / 61.82 ± 1.64 20.55 ± 1.56 / 51.55 ± 2.37 51.70 ± 1.48 / 62.01 ± 1.21 61.54 ± 2.53 / 42.44 ± 2.12 60.94 ± 1.48 / 43.92 ± 2.09 35.73 ± 0.66 / 38.06 ± 0.54 21.33 ± 2.08 / 52.01 ± 3.05 13.20 ± 1.51 / 52.20 ± 2.53 32.36 ± 1.99 / 61.64 ± 1.20 47.15 ± 2.31 / 29.98 ± 2.07 80.24 ± 0.75 / 78.86 ± 1.28 11.35 ± 1.20 / 41.82 ± 1.41 49.93 ± 1.69 / 61.00 ± 1.14 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
clips/mfaq 278 250 128 True 5,591 ± 187 / 3,349 ± 1,105 2.55 2.57 2.71 2.37 68.49 ± 2.09 / 64.72 ± 2.02 45.60 ± 1.76 / 63.53 ± 1.48 28.26 ± 11.88 / 55.28 ± 7.93 14.34 ± 3.95 / 18.60 ± 5.02 89.46 ± 1.18 / 86.62 ± 1.53 79.71 ± 1.02 / 75.64 ± 1.17 52.91 ± 2.29 / 64.64 ± 3.28 27.55 ± 12.16 / 53.28 ± 8.27 15.20 ± 9.06 / 51.91 ± 4.95 12.36 ± 8.54 / 17.38 ± 11.78 76.31 ± 1.29 / 70.91 ± 1.27 73.32 ± 1.13 / 70.21 ± 3.74 32.29 ± 10.98 / 62.21 ± 5.02 16.12 ± 5.80 / 19.52 ± 6.73 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
KBLab/bert-base-swedish-cased-new 135 64 512 True 15,933 ± 2,541 / 4,289 ± 1,376 2.56 2.96 3.07 1.64 59.37 ± 1.94 / 57.15 ± 1.78 38.46 ± 0.77 / 58.57 ± 0.67 4.61 ± 2.95 / 49.70 ± 2.34 23.13 ± 2.72 / 28.47 ± 2.30 83.23 ± 1.19 / 80.34 ± 1.44 79.16 ± 1.50 / 75.55 ± 1.69 33.94 ± 3.74 / 47.96 ± 4.12 9.56 ± 5.01 / 52.24 ± 2.78 4.16 ± 2.97 / 50.07 ± 2.09 22.84 ± 2.52 / 33.72 ± 3.11 79.99 ± 1.32 / 74.07 ± 1.54 76.04 ± 0.97 / 72.61 ± 1.82 73.52 ± 2.31 / 85.57 ± 1.53 30.60 ± 1.30 / 35.83 ± 1.02 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
sentence-transformers/paraphrase-xlm-r-multilingual-v1 278 250 512 True 20,154 ± 4,438 / 3,890 ± 1,256 2.57 2.45 2.89 2.36 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
DDSC/roberta-base-scandinavian 125 50 512 True 14,491 ± 2,800 / 3,182 ± 1,026 2.58 2.67 2.77 2.29 43.90 ± 15.70 / 41.25 ± 14.74 44.48 ± 5.85 / 62.62 ± 4.55 30.37 ± 17.09 / 63.92 ± 8.38 28.89 ± 1.91 / 33.71 ± 1.54 71.73 ± 15.69 / 68.50 ± 15.04 79.80 ± 0.72 / 75.76 ± 0.90 46.74 ± 5.96 / 60.25 ± 6.04 8.02 ± 12.19 / 50.30 ± 7.19 17.04 ± 13.78 / 56.87 ± 7.06 29.26 ± 1.27 / 42.50 ± 1.17 58.84 ± 13.92 / 53.63 ± 12.63 72.28 ± 0.79 / 71.62 ± 1.38 37.61 ± 17.89 / 66.93 ± 9.43 30.59 ± 0.68 / 35.43 ± 0.61 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4096 False 3,254 ± 1,068 / 484 ± 173 2.58 2.48 3.00 2.27 43.17 ± 2.78 / 31.37 ± 2.95 43.40 ± 2.20 / 57.24 ± 3.52 11.08 ± 2.98 / 43.40 ± 4.66 56.81 ± 0.70 / 63.10 ± 0.35 58.61 ± 1.58 / 47.74 ± 2.83 60.40 ± 1.25 / 47.53 ± 2.68 41.36 ± 3.50 / 58.47 ± 3.79 6.52 ± 2.11 / 38.10 ± 2.56 3.95 ± 2.52 / 42.37 ± 4.20 38.93 ± 2.43 / 65.76 ± 3.07 50.85 ± 2.44 / 39.65 ± 3.83 74.17 ± 2.12 / 76.62 ± 1.83 7.51 ± 1.94 / 37.81 ± 1.76 57.32 ± 0.63 / 63.28 ± 0.71 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
bineric/NorskGPT-Llama-13B-v0.1 (few-shot) unknown 32 4096 False 2,856 ± 645 / 709 ± 243 2.58 2.60 2.81 2.34 44.17 ± 3.14 / 31.63 ± 3.03 44.28 ± 1.94 / 55.59 ± 3.06 3.11 ± 1.88 / 34.35 ± 0.74 55.59 ± 0.65 / 63.25 ± 0.37 56.72 ± 1.90 / 43.75 ± 2.72 57.62 ± 1.35 / 43.81 ± 2.43 48.86 ± 2.54 / 64.32 ± 2.46 9.87 ± 1.78 / 44.29 ± 3.62 6.90 ± 1.65 / 48.96 ± 3.09 41.27 ± 3.42 / 69.36 ± 3.54 49.26 ± 2.31 / 36.92 ± 4.05 79.05 ± 0.80 / 77.87 ± 2.06 0.22 ± 0.43 / 33.38 ± 0.26 56.78 ± 1.02 / 63.61 ± 0.61 12.10.4 12.10.4 12.10.4 12.10.4 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
sentence-transformers/paraphrase-multilingual-mpnet-base-v2 278 250 512 True 15,100 ± 3,019 / 3,369 ± 1,103 2.59 2.52 2.86 2.38 61.18 ± 1.22 / 57.94 ± 1.56 49.13 ± 0.82 / 65.84 ± 0.66 29.66 ± 7.69 / 63.05 ± 4.35 19.99 ± 1.65 / 26.42 ± 1.77 81.94 ± 0.73 / 78.39 ± 0.86 75.56 ± 1.01 / 71.27 ± 1.18 55.53 ± 1.05 / 68.89 ± 1.16 36.01 ± 2.02 / 64.39 ± 1.49 14.99 ± 8.03 / 54.08 ± 5.71 0.00 ± 0.00 / 0.00 ± 0.00 65.14 ± 1.57 / 59.82 ± 1.39 73.47 ± 0.84 / 70.20 ± 2.49 36.62 ± 6.55 / 66.09 ± 5.35 18.65 ± 0.91 / 25.00 ± 0.87 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-13b-hf (few-shot) 13016 32 4096 True 2,898 ± 637 / 736 ± 236 2.61 2.73 3.10 2.00 41.28 ± 3.92 / 31.98 ± 3.26 23.01 ± 3.87 / 36.55 ± 6.42 23.50 ± 2.75 / 58.11 ± 3.45 60.29 ± 0.81 / 65.52 ± 0.58 51.12 ± 3.13 / 47.26 ± 2.62 55.35 ± 1.60 / 49.99 ± 2.21 23.75 ± 3.25 / 42.92 ± 4.45 14.00 ± 4.25 / 42.71 ± 5.83 7.61 ± 2.57 / 45.86 ± 3.96 49.24 ± 4.28 / 72.68 ± 3.66 54.52 ± 3.33 / 44.11 ± 5.29 78.45 ± 1.21 / 79.73 ± 0.97 21.55 ± 3.74 / 49.54 ± 4.41 59.71 ± 0.68 / 65.01 ± 0.64 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4 12.10.5
flax-community/swe-roberta-wiki-oscar 125 50 512 True 15,437 ± 2,628 / 3,834 ± 1,252 2.62 2.83 3.22 1.80 55.98 ± 2.24 / 52.41 ± 1.98 36.66 ± 1.27 / 57.48 ± 0.82 22.69 ± 5.37 / 59.46 ± 3.21 24.81 ± 1.85 / 29.08 ± 1.74 79.25 ± 1.22 / 76.73 ± 1.16 75.39 ± 1.03 / 71.63 ± 1.31 36.56 ± 3.06 / 51.25 ± 3.01 22.02 ± 5.34 / 57.45 ± 3.59 19.72 ± 3.67 / 56.70 ± 2.89 0.78 ± 0.74 / 1.49 ± 1.32 75.40 ± 1.45 / 70.45 ± 1.62 76.22 ± 0.78 / 75.25 ± 1.16 65.73 ± 1.73 / 81.50 ± 1.14 29.34 ± 1.44 / 34.01 ± 1.50 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 2,370 ± 416 / 711 ± 242 2.62 2.40 3.03 2.43 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 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
distilbert/distilbert-base-multilingual-cased 135 120 512 True 26,355 ± 5,946 / 5,266 ± 1,714 2.63 2.69 2.84 2.35 58.12 ± 1.30 / 54.97 ± 1.45 32.53 ± 1.39 / 54.09 ± 1.00 35.53 ± 2.54 / 66.86 ± 1.87 28.19 ± 1.93 / 32.96 ± 1.90 83.62 ± 0.75 / 80.61 ± 1.00 80.69 ± 0.69 / 76.61 ± 0.81 33.16 ± 2.13 / 46.93 ± 2.66 36.10 ± 2.45 / 66.11 ± 1.85 30.10 ± 2.50 / 64.29 ± 1.69 19.26 ± 1.57 / 30.04 ± 2.13 70.08 ± 1.38 / 64.46 ± 1.31 59.66 ± 1.22 / 56.16 ± 2.13 33.71 ± 1.12 / 65.32 ± 0.86 31.48 ± 1.85 / 36.44 ± 1.87 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) 7242 32 32768 False 2,518 ± 463 / 779 ± 243 2.63 2.36 3.08 2.45 46.11 ± 3.27 / 28.75 ± 2.13 47.58 ± 1.41 / 63.81 ± 1.28 18.41 ± 2.11 / 57.44 ± 2.11 52.78 ± 1.15 / 60.80 ± 0.59 57.01 ± 1.93 / 44.65 ± 2.87 56.77 ± 0.98 / 41.67 ± 3.53 38.81 ± 2.67 / 56.39 ± 3.13 14.16 ± 2.24 / 54.43 ± 2.61 9.29 ± 2.65 / 50.59 ± 3.99 32.75 ± 1.68 / 59.21 ± 2.11 54.38 ± 2.92 / 39.66 ± 5.20 55.84 ± 2.51 / 66.96 ± 1.37 16.05 ± 2.15 / 54.22 ± 2.86 53.22 ± 0.88 / 61.85 ± 0.63 9.2.0 9.2.0 9.2.0 12.4.0 9.2.0 9.2.0 9.2.0 9.2.0 9.2.0 12.4.0 9.2.0 9.2.0 9.2.0 12.4.0
meta-llama/Llama-3.2-3B (few-shot) 3213 128 131073 True 3,713 ± 877 / 836 ± 267 2.64 2.65 3.01 2.25 41.13 ± 2.85 / 27.15 ± 1.82 38.90 ± 1.93 / 44.34 ± 1.64 9.60 ± 2.51 / 44.34 ± 5.20 56.85 ± 1.27 / 62.25 ± 0.88 49.57 ± 2.20 / 37.13 ± 2.52 52.13 ± 3.94 / 38.26 ± 3.77 39.96 ± 2.25 / 58.34 ± 1.66 3.20 ± 3.84 / 37.62 ± 4.94 3.72 ± 3.66 / 38.51 ± 4.61 45.54 ± 3.50 / 68.67 ± 2.58 51.06 ± 2.85 / 31.63 ± 3.67 77.76 ± 1.09 / 67.88 ± 3.15 5.88 ± 3.89 / 38.51 ± 4.84 57.43 ± 1.04 / 62.93 ± 0.94 13.0.0 13.0.0 13.0.0 13.0.0 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/stsb-xlm-r-multilingual 278 250 512 True 15,040 ± 2,953 / 3,417 ± 1,100 2.64 2.63 2.98 2.32 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/distilbert-base-25lang-cased 109 85 512 True 26,099 ± 5,881 / 5,178 ± 1,665 2.65 2.69 2.86 2.39 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Geotrend/distilbert-base-en-fr-de-no-da-cased 76 42 512 True 26,081 ± 5,875 / 5,209 ± 1,692 2.65 2.66 2.88 2.42 58.78 ± 1.75 / 55.50 ± 1.82 31.30 ± 1.80 / 52.43 ± 1.61 34.92 ± 2.74 / 66.69 ± 2.11 27.86 ± 1.51 / 32.53 ± 1.36 83.49 ± 0.83 / 80.32 ± 0.76 80.23 ± 1.09 / 76.10 ± 1.23 32.66 ± 1.96 / 46.26 ± 3.19 33.65 ± 6.63 / 65.22 ± 4.03 29.07 ± 2.20 / 63.35 ± 1.54 19.29 ± 1.27 / 29.94 ± 1.81 69.94 ± 1.11 / 63.93 ± 1.47 59.83 ± 1.11 / 55.15 ± 0.99 29.82 ± 1.23 / 63.32 ± 1.41 31.13 ± 1.15 / 36.20 ± 1.22 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
bineric/NorskGPT-Llama3-8b (few-shot) 8030 128 8192 False 3,382 ± 383 / 1,309 ± 509 2.66 2.50 3.32 2.17 51.40 ± 3.08 / 37.70 ± 3.28 42.13 ± 0.57 / 45.91 ± 0.39 3.91 ± 2.02 / 34.38 ± 0.47 57.81 ± 1.03 / 66.28 ± 0.48 64.34 ± 2.67 / 57.96 ± 2.14 59.50 ± 3.79 / 56.59 ± 3.46 35.60 ± 0.91 / 38.71 ± 0.43 31.69 ± 2.05 / 64.62 ± 0.78 24.58 ± 1.68 / 59.41 ± 2.26 0.10 ± 0.05 / 28.89 ± 5.58 63.19 ± 2.83 / 51.22 ± 3.61 76.06 ± 0.64 / 61.59 ± 0.77 5.34 ± 1.42 / 34.32 ± 0.56 56.70 ± 0.87 / 66.00 ± 0.59 12.7.0 12.7.0 12.7.0 12.7.0 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 12.7.0 12.7.0 12.7.0 12.7.0
bineric/NorskGPT-Mistral-7b (few-shot) 7242 32 32768 False 1,440 ± 352 / 293 ± 99 2.66 2.61 3.13 2.25 50.76 ± 1.60 / 32.89 ± 2.11 40.41 ± 0.79 / 44.17 ± 0.56 0.00 ± 0.00 / 33.41 ± 0.23 57.26 ± 0.79 / 63.80 ± 0.52 62.98 ± 1.81 / 46.61 ± 3.01 60.12 ± 1.27 / 43.49 ± 2.87 35.47 ± 0.80 / 38.01 ± 0.57 15.15 ± 1.99 / 45.37 ± 3.71 9.49 ± 1.78 / 43.92 ± 3.35 27.06 ± 2.88 / 49.25 ± 4.63 58.40 ± 2.62 / 40.55 ± 3.65 74.30 ± 1.26 / 60.35 ± 0.41 0.00 ± 0.00 / 33.37 ± 0.27 59.16 ± 1.23 / 65.78 ± 0.72 9.3.1 9.3.1 9.3.1 12.5.1 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 9.3.1 9.3.1 9.3.1 12.5.1
ibm-granite/granite-8b-code-base-4k (few-shot) 8055 49 4096 True 2,313 ± 423 / 682 ± 210 2.66 2.66 2.96 2.35 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 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
Geotrend/distilbert-base-en-no-cased 69 33 512 True 26,597 ± 6,036 / 5,271 ± 1,697 2.67 2.71 2.86 2.45 57.53 ± 1.89 / 54.43 ± 1.91 32.95 ± 0.82 / 54.57 ± 0.80 33.63 ± 2.63 / 65.69 ± 1.82 27.21 ± 1.31 / 32.05 ± 1.23 83.93 ± 0.95 / 81.01 ± 0.94 79.39 ± 1.03 / 75.07 ± 1.03 32.32 ± 2.30 / 47.12 ± 2.85 36.15 ± 1.99 / 66.57 ± 1.11 30.17 ± 1.72 / 63.98 ± 1.36 19.71 ± 1.41 / 30.26 ± 1.56 69.28 ± 1.15 / 63.61 ± 1.27 59.53 ± 1.69 / 57.93 ± 2.20 29.36 ± 1.50 / 63.60 ± 0.89 30.42 ± 1.54 / 35.34 ± 1.63 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 2.67 2.65 2.81 2.54 41.63 ± 2.33 / 28.51 ± 2.43 47.73 ± 1.52 / 60.64 ± 2.33 0.00 ± 0.00 / 33.41 ± 0.23 54.25 ± 0.85 / 61.70 ± 0.71 56.18 ± 3.05 / 49.39 ± 2.78 56.96 ± 1.64 / 48.30 ± 5.46 50.94 ± 1.41 / 66.55 ± 1.06 8.19 ± 1.95 / 45.17 ± 3.69 5.55 ± 1.71 / 48.92 ± 2.94 41.35 ± 2.33 / 69.72 ± 2.52 53.95 ± 1.89 / 42.16 ± 4.59 60.91 ± 2.35 / 59.47 ± 1.21 0.32 ± 0.62 / 33.39 ± 0.28 55.28 ± 0.62 / 63.41 ± 0.55 12.5.2 12.3.2 12.3.2 12.3.2 12.5.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.67 2.61 3.01 2.39 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 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
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 2.67 2.67 2.98 2.36 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 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
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 2.67 2.68 3.05 2.29 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 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
danish-foundation-models/munin-7b-alpha (few-shot) 7242 32 32768 True 6,116 ± 1,049 / 1,784 ± 577 2.68 2.49 3.29 2.25 40.60 ± 2.25 / 28.71 ± 1.42 36.89 ± 2.27 / 43.77 ± 2.64 26.41 ± 5.40 / 53.03 ± 6.56 57.81 ± 1.11 / 63.44 ± 0.81 48.89 ± 3.42 / 35.46 ± 2.58 51.95 ± 1.59 / 36.45 ± 2.57 20.54 ± 6.01 / 36.30 ± 6.77 4.39 ± 3.94 / 35.23 ± 2.81 1.20 ± 1.64 / 34.54 ± 1.31 47.16 ± 4.15 / 70.08 ± 3.96 42.23 ± 2.44 / 30.30 ± 4.71 78.80 ± 0.93 / 75.28 ± 1.78 15.47 ± 1.79 / 54.26 ± 3.41 56.75 ± 1.15 / 62.43 ± 0.95 12.5.2 12.4.0 12.4.0 12.4.0 12.5.2 12.5.2 12.4.0 12.4.0 12.4.0 12.4.0 12.5.2 12.4.0 12.4.0 12.4.0
Geotrend/distilbert-base-en-da-cased 69 33 512 True 26,196 ± 5,956 / 5,220 ± 1,691 2.69 2.66 2.97 2.44 59.50 ± 1.45 / 56.28 ± 1.67 31.89 ± 1.59 / 53.99 ± 1.22 36.00 ± 2.27 / 67.38 ± 1.56 28.41 ± 1.26 / 33.19 ± 1.40 83.27 ± 1.20 / 80.29 ± 1.38 79.59 ± 0.97 / 75.31 ± 1.19 29.37 ± 2.58 / 44.05 ± 3.33 31.50 ± 6.37 / 64.62 ± 3.29 24.06 ± 7.24 / 61.01 ± 3.82 18.62 ± 0.81 / 29.69 ± 1.81 69.62 ± 0.88 / 63.51 ± 1.33 59.42 ± 1.21 / 55.74 ± 1.26 29.01 ± 2.06 / 62.65 ± 1.37 31.82 ± 1.07 / 36.82 ± 1.14 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ibm-granite/granite-8b-code-instruct-4k (few-shot) 8055 49 4096 True 5,617 ± 995 / 1,623 ± 540 2.69 2.67 3.01 2.38 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 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
Geotrend/distilbert-base-da-cased 61 23 512 True 28,950 ± 5,114 / 7,010 ± 2,267 2.70 2.69 2.98 2.44 58.36 ± 1.69 / 55.30 ± 1.49 32.13 ± 1.52 / 53.89 ± 1.25 34.75 ± 1.55 / 65.89 ± 1.56 27.50 ± 1.21 / 32.16 ± 1.28 82.84 ± 0.61 / 79.91 ± 0.64 78.83 ± 1.18 / 74.64 ± 1.40 30.70 ± 2.63 / 43.77 ± 2.62 34.24 ± 2.30 / 65.60 ± 1.50 27.20 ± 2.61 / 62.87 ± 1.41 16.44 ± 1.76 / 26.22 ± 2.65 69.25 ± 1.37 / 63.90 ± 1.27 58.47 ± 1.30 / 56.03 ± 2.36 29.80 ± 1.57 / 63.53 ± 0.90 30.61 ± 1.31 / 35.37 ± 1.52 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ibm-granite/granite-3.0-2b-instruct (few-shot) 2634 49 4097 True 10,194 ± 2,403 / 2,193 ± 731 2.71 2.64 3.06 2.42 41.79 ± 2.11 / 32.67 ± 2.33 41.86 ± 1.28 / 61.22 ± 0.99 11.86 ± 1.80 / 50.92 ± 3.93 51.97 ± 0.76 / 59.28 ± 0.61 52.68 ± 2.02 / 46.01 ± 1.94 53.17 ± 0.85 / 47.77 ± 2.12 39.87 ± 1.73 / 55.71 ± 2.40 12.08 ± 2.13 / 51.41 ± 4.09 7.18 ± 2.00 / 48.84 ± 3.17 36.00 ± 2.29 / 61.00 ± 2.15 45.23 ± 3.64 / 37.99 ± 4.03 72.76 ± 2.25 / 72.65 ± 2.38 11.25 ± 2.04 / 51.22 ± 3.26 52.22 ± 0.70 / 59.36 ± 0.78 13.0.0 13.0.0 13.0.0 13.0.0 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
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 2.71 2.54 3.19 2.40 38.39 ± 3.57 / 24.87 ± 2.52 49.44 ± 1.03 / 66.00 ± 0.88 7.50 ± 2.07 / 47.53 ± 4.03 51.24 ± 1.09 / 57.72 ± 0.98 38.82 ± 5.36 / 30.48 ± 1.91 43.28 ± 3.13 / 33.87 ± 3.30 38.05 ± 1.85 / 47.06 ± 3.97 8.45 ± 2.47 / 46.75 ± 3.97 7.50 ± 1.65 / 48.14 ± 4.65 40.47 ± 2.77 / 64.21 ± 2.94 47.24 ± 3.36 / 24.94 ± 3.21 77.91 ± 1.42 / 76.08 ± 2.54 5.55 ± 2.55 / 48.57 ± 3.21 51.41 ± 0.74 / 57.55 ± 0.69 12.5.2 12.3.2 12.3.2 12.4.0 12.5.2 12.5.2 12.3.2 12.3.2 12.3.2 12.4.0 12.5.2 12.3.2 12.3.2 12.4.0
LumiOpen/Viking-33B@1000B (few-shot) 33119 131 4099 True 2,080 ± 700 / 331 ± 117 2.73 2.64 3.19 2.37 34.22 ± 2.47 / 22.52 ± 1.93 45.05 ± 2.49 / 62.23 ± 1.84 9.40 ± 2.63 / 44.83 ± 4.69 54.92 ± 1.00 / 60.33 ± 0.76 40.40 ± 2.29 / 30.41 ± 2.07 44.45 ± 3.61 / 34.06 ± 3.27 40.79 ± 1.70 / 57.84 ± 2.77 5.91 ± 2.51 / 47.81 ± 3.76 2.98 ± 2.86 / 45.49 ± 4.59 37.75 ± 3.23 / 59.72 ± 3.03 42.35 ± 1.51 / 28.31 ± 3.87 77.68 ± 1.11 / 78.86 ± 0.93 8.08 ± 1.69 / 50.52 ± 2.25 54.57 ± 1.25 / 60.34 ± 1.10 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) 7800 100 4096 True 6,197 ± 1,118 / 1,730 ± 577 2.73 2.66 3.12 2.42 34.25 ± 2.28 / 30.39 ± 2.14 45.67 ± 2.41 / 58.41 ± 3.04 10.62 ± 2.37 / 53.20 ± 3.73 50.77 ± 2.48 / 56.92 ± 2.42 42.77 ± 2.42 / 40.31 ± 2.34 45.69 ± 3.69 / 43.11 ± 3.62 37.79 ± 2.38 / 56.41 ± 2.91 8.77 ± 1.96 / 49.11 ± 4.22 8.47 ± 3.16 / 49.65 ± 4.39 44.24 ± 4.15 / 65.11 ± 3.79 42.87 ± 3.17 / 40.34 ± 2.52 79.18 ± 0.46 / 76.66 ± 1.44 8.65 ± 1.60 / 46.95 ± 3.15 51.56 ± 0.79 / 57.58 ± 0.79 13.0.0 13.0.0 13.0.0 13.0.0 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-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 2.73 2.74 3.18 2.28 31.77 ± 3.29 / 22.31 ± 2.29 43.91 ± 1.94 / 61.54 ± 2.33 0.31 ± 0.61 / 33.43 ± 0.23 58.44 ± 0.83 / 63.54 ± 0.66 42.13 ± 3.82 / 37.17 ± 3.44 43.80 ± 2.85 / 37.48 ± 4.00 41.74 ± 2.25 / 57.91 ± 2.82 0.00 ± 0.00 / 33.41 ± 0.30 0.02 ± 0.04 / 33.88 ± 0.35 44.19 ± 4.13 / 66.18 ± 4.05 44.11 ± 4.26 / 31.64 ± 4.48 79.05 ± 1.08 / 75.52 ± 2.66 7.34 ± 3.19 / 43.83 ± 5.31 57.49 ± 0.95 / 63.16 ± 0.77 9.2.0 9.2.0 9.2.0 12.5.1 9.2.0 9.2.0 9.2.0 9.2.0 9.2.0 12.5.1 9.2.0 9.2.0 9.2.0 12.5.1
meta-llama/Llama-3.2-3B-Instruct (few-shot) 3213 128 131073 False 10,424 ± 2,641 / 2,081 ± 666 2.73 2.60 3.23 2.36 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 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
Twitter/twhin-bert-large 561 250 512 True 9,707 ± 1,664 / 2,549 ± 831 2.74 2.65 3.20 2.38 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
sarnikowski/convbert-medium-small-da-cased 24 29 512 True 13,821 ± 2,209 / 3,547 ± 1,184 2.75 2.28 3.10 2.86 64.28 ± 1.74 / 59.29 ± 1.54 36.85 ± 3.28 / 56.27 ± 3.98 63.55 ± 1.19 / 81.41 ± 0.64 24.52 ± 1.11 / 29.88 ± 1.13 79.50 ± 0.70 / 76.09 ± 0.70 73.03 ± 1.28 / 68.84 ± 1.39 32.40 ± 1.48 / 44.59 ± 1.66 41.65 ± 1.95 / 70.35 ± 0.97 25.53 ± 2.31 / 62.04 ± 1.19 5.41 ± 2.79 / 8.15 ± 4.18 58.01 ± 1.23 / 53.87 ± 1.25 57.67 ± 1.61 / 53.64 ± 0.68 13.40 ± 4.31 / 55.37 ± 2.61 24.92 ± 0.80 / 30.11 ± 0.83 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
NorwAI/NorwAI-Mistral-7B (few-shot) 7537 68 4096 True 3,035 ± 503 / 911 ± 300 2.76 2.71 3.07 2.50 21.47 ± 3.87 / 16.98 ± 3.19 48.39 ± 0.66 / 64.51 ± 1.38 12.46 ± 2.22 / 52.33 ± 3.21 52.51 ± 1.57 / 58.49 ± 1.58 21.09 ± 6.44 / 20.45 ± 2.65 26.31 ± 4.64 / 26.42 ± 2.98 49.00 ± 3.88 / 65.98 ± 2.95 7.15 ± 2.14 / 40.83 ± 3.95 7.98 ± 2.64 / 45.21 ± 4.95 47.70 ± 5.32 / 68.04 ± 5.37 23.88 ± 7.28 / 17.99 ± 3.56 80.26 ± 0.89 / 77.89 ± 0.89 13.50 ± 2.27 / 52.55 ± 2.86 55.02 ± 0.96 / 60.74 ± 0.89 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.4 12.10.5 12.10.5
claude-3-5-haiku-20241022 (zero-shot, val) unknown unknown 200000 True 277 ± 77 / 70 ± 25 2.76 2.23 3.40 2.64 59.48 ± 1.97 / 42.21 ± 2.53 56.46 ± 2.39 / 71.07 ± 1.48 20.57 ± 3.78 / 49.85 ± 2.21 38.23 ± 1.71 / 57.70 ± 1.22 69.39 ± 2.58 / 47.10 ± 3.14 62.76 ± 2.10 / 42.75 ± 2.27 3.97 ± 1.70 / 32.77 ± 0.95 31.65 ± 2.14 / 54.96 ± 1.11 5.86 ± 3.28 / 38.81 ± 1.69 36.65 ± 1.08 / 66.51 ± 0.83 57.06 ± 2.15 / 38.72 ± 1.61 59.89 ± 3.67 / 62.05 ± 2.71 9.30 ± 1.88 / 35.59 ± 0.94 39.97 ± 1.52 / 58.05 ± 1.05 14.0.1 14.0.1 14.0.1 14.0.1 14.0.3 14.0.3 14.0.2 14.0.3 14.0.3 14.0.3 14.0.2 14.0.2 14.0.3 14.0.3
google/gemma-2-2b-it (few-shot) 2614 256 8193 True 5,374 ± 1,233 / 1,193 ± 377 2.77 2.67 3.15 2.48 28.22 ± 1.66 / 19.95 ± 1.55 47.11 ± 1.36 / 63.36 ± 1.39 19.99 ± 1.86 / 58.86 ± 1.11 48.00 ± 0.98 / 58.49 ± 0.49 35.56 ± 1.33 / 28.84 ± 2.19 37.70 ± 3.04 / 30.22 ± 2.39 46.84 ± 2.20 / 63.22 ± 1.89 17.15 ± 2.01 / 55.59 ± 2.04 14.38 ± 1.96 / 54.95 ± 1.73 29.75 ± 1.52 / 63.79 ± 1.50 35.61 ± 2.19 / 26.05 ± 2.45 75.84 ± 1.41 / 77.22 ± 1.09 15.62 ± 1.67 / 51.30 ± 3.09 47.76 ± 0.92 / 58.65 ± 0.83 13.0.0 13.0.0 13.0.0 13.0.0 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
Addedk/kbbert-distilled-cased 82 50 512 True 29,698 ± 4,287 / 8,677 ± 2,776 2.78 3.01 3.36 1.97 57.84 ± 1.47 / 54.75 ± 1.23 31.18 ± 0.94 / 53.05 ± 1.16 13.25 ± 3.71 / 53.61 ± 2.94 22.73 ± 1.16 / 27.50 ± 1.00 81.82 ± 0.85 / 78.30 ± 1.00 75.89 ± 1.11 / 72.08 ± 1.15 33.42 ± 1.96 / 48.63 ± 3.34 14.99 ± 4.11 / 52.87 ± 4.48 13.63 ± 4.52 / 53.34 ± 4.61 0.00 ± 0.00 / 0.00 ± 0.00 80.12 ± 1.41 / 73.78 ± 1.37 71.28 ± 1.09 / 69.73 ± 2.94 51.58 ± 2.89 / 73.82 ± 2.21 28.16 ± 0.76 / 33.47 ± 0.62 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) 3821 32 4096 False 1,360 ± 179 / 566 ± 190 2.78 2.65 3.19 2.51 39.96 ± 3.11 / 25.49 ± 2.71 44.93 ± 1.13 / 62.99 ± 0.87 4.01 ± 1.10 / 45.80 ± 2.61 55.01 ± 0.80 / 60.67 ± 0.59 56.41 ± 2.05 / 37.55 ± 3.57 53.95 ± 1.23 / 38.44 ± 4.85 42.27 ± 1.52 / 56.76 ± 2.10 0.00 ± 0.00 / 33.41 ± 0.30 0.21 ± 1.00 / 34.08 ± 0.56 29.35 ± 1.40 / 53.48 ± 2.01 47.81 ± 2.60 / 27.94 ± 5.79 68.43 ± 2.12 / 68.82 ± 2.65 3.63 ± 1.46 / 43.69 ± 4.56 53.03 ± 0.62 / 58.80 ± 0.59 12.10.4 12.10.4 12.10.4 12.10.4 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
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) 7242 32 32768 True 2,461 ± 476 / 773 ± 248 2.79 2.69 3.20 2.49 30.16 ± 4.47 / 25.03 ± 3.01 48.49 ± 2.41 / 63.06 ± 1.91 5.52 ± 4.66 / 38.81 ± 4.27 52.44 ± 1.32 / 57.22 ± 1.44 35.98 ± 3.79 / 27.51 ± 2.13 47.39 ± 2.31 / 36.42 ± 2.87 38.98 ± 5.51 / 58.23 ± 4.01 11.54 ± 5.04 / 49.91 ± 3.96 5.20 ± 3.47 / 46.19 ± 5.23 37.54 ± 3.00 / 56.56 ± 2.96 32.37 ± 3.05 / 24.60 ± 3.81 75.33 ± 2.41 / 77.99 ± 2.58 12.73 ± 6.32 / 45.51 ± 7.43 53.05 ± 1.83 / 58.32 ± 1.46 10.0.1 10.0.1 10.0.1 10.0.1 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
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 118 250 512 True 29,201 ± 6,282 / 6,045 ± 2,027 2.79 2.73 3.09 2.54 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
jannikskytt/MeDa-Bert 111 32 511 True 16,114 ± 2,429 / 4,566 ± 1,482 2.80 2.30 3.01 3.10 64.64 ± 1.72 / 59.54 ± 1.83 44.62 ± 1.38 / 62.33 ± 1.20 47.47 ± 8.03 / 70.55 ± 4.26 23.14 ± 1.59 / 29.91 ± 1.40 71.69 ± 0.92 / 68.09 ± 0.91 60.00 ± 1.99 / 56.64 ± 1.98 38.94 ± 2.59 / 53.58 ± 3.33 30.32 ± 4.68 / 62.42 ± 3.11 7.99 ± 3.34 / 53.24 ± 1.64 24.02 ± 1.35 / 37.28 ± 1.24 48.32 ± 1.62 / 45.04 ± 1.50 53.98 ± 2.05 / 52.94 ± 1.88 3.33 ± 2.12 / 51.06 ± 1.15 23.15 ± 2.61 / 29.17 ± 2.19 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 2.80 2.63 3.20 2.58 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 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
AI-Sweden-Models/gpt-sw3-40b (few-shot) 39927 64 2048 True 409 ± 53 / 182 ± 54 2.81 2.66 3.35 2.43 26.57 ± 5.22 / 17.35 ± 2.79 47.81 ± 1.32 / 64.26 ± 1.28 11.13 ± 2.06 / 51.34 ± 3.02 53.78 ± 0.70 / 60.13 ± 0.69 24.07 ± 5.59 / 19.09 ± 2.55 26.67 ± 6.24 / 21.18 ± 2.80 31.05 ± 7.03 / 45.69 ± 8.29 10.80 ± 1.96 / 52.29 ± 2.55 8.89 ± 2.52 / 47.62 ± 4.31 48.78 ± 3.64 / 71.66 ± 3.34 32.00 ± 3.27 / 17.02 ± 2.03 80.44 ± 0.54 / 77.81 ± 1.18 10.73 ± 2.53 / 51.37 ± 4.05 53.80 ± 0.86 / 60.53 ± 0.78 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
mideind/IceBERT-xlmr-ic3 278 250 512 True 11,004 ± 2,244 / 2,324 ± 761 2.81 2.84 3.07 2.53 58.49 ± 1.50 / 56.15 ± 1.57 37.47 ± 2.55 / 56.94 ± 3.79 6.71 ± 5.56 / 45.62 ± 6.46 30.60 ± 1.23 / 35.52 ± 1.09 82.46 ± 1.46 / 83.74 ± 1.16 74.22 ± 0.57 / 77.50 ± 0.57 37.19 ± 1.76 / 47.27 ± 2.85 13.25 ± 6.73 / 48.39 ± 7.10 7.96 ± 5.56 / 45.68 ± 6.73 18.75 ± 3.84 / 30.21 ± 5.73 70.57 ± 1.07 / 70.41 ± 0.93 66.01 ± 1.43 / 57.28 ± 0.85 10.20 ± 5.38 / 50.80 ± 4.15 30.71 ± 0.94 / 36.08 ± 0.92 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
danish-foundation-models/encoder-medium-v1 111 32 512 True 16,130 ± 2,433 / 4,566 ± 1,473 2.82 2.32 3.10 3.03 63.42 ± 1.89 / 58.69 ± 2.54 39.91 ± 1.78 / 58.47 ± 2.16 51.01 ± 10.50 / 74.54 ± 5.83 25.76 ± 2.11 / 31.49 ± 1.94 68.66 ± 1.05 / 65.08 ± 1.07 61.77 ± 2.03 / 57.87 ± 2.08 36.56 ± 1.53 / 51.54 ± 2.45 31.23 ± 6.86 / 63.55 ± 5.48 5.40 ± 4.63 / 44.64 ± 6.37 22.56 ± 0.95 / 34.52 ± 1.15 49.62 ± 2.01 / 46.05 ± 2.11 58.70 ± 2.54 / 58.15 ± 3.35 2.23 ± 2.12 / 46.43 ± 4.85 25.45 ± 0.75 / 30.80 ± 0.81 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
microsoft/Phi-3-mini-4k-instruct (few-shot) 3821 32 4096 True 8,681 ± 1,650 / 2,177 ± 717 2.82 2.73 3.19 2.54 41.37 ± 2.50 / 24.64 ± 2.50 42.60 ± 1.06 / 61.52 ± 0.75 6.52 ± 1.34 / 45.01 ± 2.64 50.57 ± 1.03 / 57.75 ± 0.64 56.33 ± 1.63 / 36.68 ± 3.27 54.68 ± 1.29 / 37.85 ± 3.79 37.18 ± 1.30 / 55.44 ± 1.46 6.76 ± 2.81 / 41.69 ± 2.82 6.79 ± 1.51 / 45.45 ± 3.51 30.11 ± 2.09 / 52.56 ± 2.38 46.15 ± 2.77 / 24.28 ± 3.74 67.17 ± 1.93 / 70.99 ± 1.64 5.30 ± 1.62 / 47.01 ± 3.23 51.12 ± 1.02 / 57.49 ± 0.81 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5
norallm/normistral-7b-warm-instruct (few-shot) unknown 33 2048 True 6,194 ± 949 / 1,967 ± 619 2.82 2.66 3.22 2.58 39.83 ± 2.18 / 25.99 ± 1.56 47.48 ± 2.00 / 63.93 ± 1.86 4.55 ± 2.34 / 42.91 ± 4.05 49.23 ± 0.63 / 57.45 ± 0.53 46.49 ± 2.30 / 31.87 ± 1.92 51.46 ± 2.36 / 35.87 ± 2.14 37.98 ± 1.72 / 43.91 ± 2.51 7.86 ± 2.74 / 47.20 ± 2.71 7.23 ± 1.97 / 46.62 ± 3.92 33.31 ± 1.03 / 59.27 ± 1.53 51.45 ± 3.13 / 26.49 ± 3.00 63.64 ± 3.74 / 65.08 ± 2.46 5.80 ± 1.74 / 51.04 ± 1.54 48.95 ± 1.00 / 57.09 ± 0.92 12.6.1 12.6.1 12.6.1 12.6.1 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
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) 7242 32 32768 False 5,172 ± 813 / 1,647 ± 518 2.84 2.71 3.56 2.25 37.02 ± 5.66 / 27.64 ± 3.92 40.65 ± 2.10 / 57.47 ± 2.56 7.48 ± 2.51 / 46.56 ± 4.52 52.71 ± 0.70 / 59.07 ± 0.65 50.34 ± 3.17 / 45.09 ± 2.65 52.06 ± 2.41 / 46.88 ± 2.39 32.19 ± 2.52 / 43.19 ± 4.63 -0.22 ± 0.43 / 33.41 ± 0.30 0.00 ± 0.00 / 33.86 ± 0.33 20.57 ± 0.64 / 40.19 ± 1.13 46.74 ± 4.30 / 33.57 ± 4.51 77.06 ± 1.82 / 79.02 ± 1.37 14.00 ± 1.59 / 53.89 ± 3.10 56.74 ± 0.52 / 63.45 ± 0.49 12.5.2 12.3.2 12.3.2 12.4.0 12.5.2 12.5.2 12.3.2 12.3.2 12.3.2 12.4.0 12.5.2 12.3.2 12.3.2 12.4.0
DDSC/roberta-base-danish 125 50 512 True 15,004 ± 2,964 / 3,290 ± 1,092 2.86 2.59 3.25 2.75 63.84 ± 1.73 / 59.85 ± 1.44 43.90 ± 1.50 / 62.31 ± 0.96 17.16 ± 13.94 / 56.47 ± 7.34 26.94 ± 1.16 / 31.50 ± 1.03 76.14 ± 2.58 / 72.24 ± 2.54 72.88 ± 1.50 / 68.61 ± 1.62 32.29 ± 9.23 / 49.08 ± 8.36 0.45 ± 1.61 / 49.14 ± 1.42 -0.08 ± 1.79 / 45.89 ± 3.49 23.91 ± 2.24 / 36.47 ± 2.77 65.95 ± 1.70 / 60.53 ± 1.38 64.02 ± 2.78 / 62.27 ± 4.19 0.80 ± 0.78 / 47.24 ± 3.43 28.46 ± 0.90 / 33.13 ± 0.88 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Maltehb/danish-bert-botxo 111 32 512 True 16,091 ± 2,427 / 4,575 ± 1,485 2.86 2.27 3.29 3.03 66.71 ± 1.80 / 61.55 ± 1.75 43.79 ± 1.76 / 62.26 ± 1.35 45.96 ± 2.91 / 69.62 ± 1.72 26.29 ± 2.34 / 32.91 ± 2.60 72.62 ± 0.81 / 69.33 ± 0.93 58.73 ± 1.81 / 55.12 ± 1.67 40.65 ± 1.63 / 55.20 ± 2.63 29.47 ± 2.30 / 62.25 ± 1.69 12.95 ± 3.01 / 55.31 ± 1.87 0.91 ± 0.93 / 2.56 ± 2.15 50.29 ± 1.22 / 47.15 ± 1.18 57.42 ± 1.88 / 56.53 ± 1.66 4.94 ± 1.62 / 51.57 ± 1.19 24.16 ± 1.28 / 30.28 ± 1.18 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) 8030 128 131072 True 2,996 ± 817 / 284 ± 96 2.86 2.79 3.39 2.41 27.60 ± 3.21 / 25.68 ± 2.70 37.08 ± 2.51 / 54.37 ± 2.72 10.84 ± 2.11 / 49.05 ± 4.51 58.67 ± 0.97 / 63.61 ± 0.83 35.54 ± 2.35 / 35.62 ± 2.50 36.61 ± 1.95 / 37.38 ± 1.88 32.18 ± 6.27 / 50.19 ± 5.62 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 43.47 ± 3.30 / 68.45 ± 2.93 33.21 ± 2.39 / 32.18 ± 2.40 76.57 ± 0.92 / 76.28 ± 1.76 10.51 ± 3.79 / 49.04 ± 4.63 58.15 ± 1.06 / 63.06 ± 0.85 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 2.87 2.98 3.20 2.43 27.41 ± 3.48 / 19.03 ± 1.76 30.23 ± 3.43 / 41.05 ± 4.38 11.34 ± 2.73 / 46.62 ± 5.48 52.80 ± 0.68 / 59.56 ± 0.57 30.82 ± 5.81 / 25.27 ± 3.92 39.56 ± 4.73 / 32.12 ± 4.06 34.50 ± 1.29 / 42.21 ± 1.39 15.17 ± 1.41 / 49.46 ± 2.90 12.46 ± 3.29 / 48.89 ± 5.19 42.81 ± 3.10 / 66.15 ± 3.21 31.86 ± 5.09 / 21.95 ± 3.90 79.20 ± 1.03 / 79.87 ± 1.11 12.26 ± 1.97 / 46.90 ± 4.11 53.58 ± 0.97 / 60.28 ± 0.81 9.3.1 12.10.0 9.3.1 9.3.1 9.3.1 9.3.1 12.10.0 9.3.1 9.3.1 9.3.1 9.3.1 12.10.0 9.3.1 9.3.1
NbAiLab/nb-llama-3.1-70B (few-shot) 70554 128 131072 True 1,220 ± 411 / 158 ± 53 2.87 2.97 3.00 2.63 50.83 ± 1.31 / 41.56 ± 1.86 53.23 ± 2.63 / 64.70 ± 3.82 23.02 ± 6.31 / 53.19 ± 7.11 0.00 ± 0.00 / 11.36 ± 0.99 65.75 ± 2.00 / 59.69 ± 2.98 70.12 ± 2.22 / 63.49 ± 3.83 41.90 ± 3.43 / 49.94 ± 4.59 47.88 ± 8.48 / 69.91 ± 7.73 35.66 ± 6.93 / 62.56 ± 6.50 0.03 ± 0.04 / 19.59 ± 1.89 69.54 ± 1.72 / 57.56 ± 4.03 79.55 ± 1.16 / 76.00 ± 2.17 28.27 ± 6.55 / 54.36 ± 6.56 0.02 ± 0.02 / 11.05 ± 1.02 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
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 2.87 2.69 3.27 2.64 35.96 ± 2.61 / 28.58 ± 2.58 42.04 ± 1.42 / 60.76 ± 1.41 8.65 ± 1.52 / 49.56 ± 3.60 53.68 ± 0.94 / 59.73 ± 0.86 44.83 ± 1.58 / 40.11 ± 2.00 46.29 ± 1.65 / 41.63 ± 3.45 32.70 ± 1.59 / 45.73 ± 2.82 3.57 ± 1.55 / 37.05 ± 2.34 1.61 ± 2.11 / 37.85 ± 3.99 42.55 ± 3.36 / 67.11 ± 2.50 40.19 ± 2.97 / 31.88 ± 4.51 64.08 ± 2.44 / 69.62 ± 1.29 5.43 ± 2.02 / 38.32 ± 2.54 53.21 ± 1.08 / 59.57 ± 0.97 12.5.2 10.0.1 12.1.0 12.5.2 12.5.2 12.5.2 10.0.1 12.1.0 12.1.0 12.5.2 12.5.2 10.0.1 12.1.0 12.5.2
google/gemma-7b-it (few-shot) 8538 256 8192 False 1,792 ± 249 / 668 ± 203 2.87 2.85 2.91 2.86 43.83 ± 1.93 / 34.03 ± 1.59 29.21 ± 1.92 / 52.86 ± 1.54 12.96 ± 1.67 / 55.83 ± 0.88 49.76 ± 0.59 / 56.52 ± 0.50 59.77 ± 2.77 / 56.12 ± 2.72 60.98 ± 2.01 / 57.99 ± 1.31 28.14 ± 1.90 / 49.76 ± 1.59 14.01 ± 2.15 / 56.43 ± 1.08 10.15 ± 1.06 / 54.56 ± 0.71 51.08 ± 2.83 / 74.34 ± 1.55 59.26 ± 2.00 / 52.73 ± 2.71 28.63 ± 1.24 / 50.95 ± 0.75 11.43 ± 1.88 / 53.31 ± 1.74 46.67 ± 1.97 / 53.24 ± 1.72 12.7.0 12.7.0 12.7.0 12.7.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.7.0 12.7.0 12.7.0 12.7.0
ltg/norbert3-xs 15 50 508 True 14,208 ± 2,713 / 3,059 ± 1,002 2.87 2.95 2.83 2.82 59.94 ± 2.06 / 58.86 ± 1.85 39.16 ± 1.75 / 58.91 ± 1.21 2.16 ± 1.61 / 48.93 ± 2.35 24.69 ± 1.58 / 28.57 ± 1.42 87.63 ± 0.64 / 84.17 ± 0.81 80.19 ± 2.00 / 75.70 ± 2.31 49.92 ± 1.44 / 63.75 ± 1.45 7.93 ± 4.24 / 50.87 ± 2.29 5.06 ± 0.83 / 51.44 ± 1.05 22.46 ± 5.97 / 34.67 ± 8.87 67.53 ± 1.66 / 62.96 ± 1.62 59.27 ± 2.14 / 55.26 ± 1.73 2.83 ± 2.01 / 49.25 ± 1.48 24.11 ± 2.76 / 27.79 ± 2.63 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
Addedk/mbert-swedish-distilled-cased 135 120 512 True 26,091 ± 5,835 / 5,209 ± 1,690 2.88 2.99 3.16 2.49 56.36 ± 1.95 / 53.98 ± 1.92 31.16 ± 2.06 / 52.25 ± 2.48 21.08 ± 2.54 / 56.96 ± 2.74 19.63 ± 2.13 / 23.61 ± 2.07 82.98 ± 1.32 / 79.80 ± 1.69 76.65 ± 1.24 / 72.29 ± 1.44 30.38 ± 2.29 / 42.84 ± 2.38 21.99 ± 6.74 / 54.54 ± 7.12 19.06 ± 4.26 / 56.45 ± 5.24 9.47 ± 5.36 / 15.24 ± 8.64 73.41 ± 1.54 / 66.98 ± 1.68 62.10 ± 1.18 / 60.27 ± 2.82 34.86 ± 1.29 / 66.98 ± 0.77 18.10 ± 2.67 / 21.09 ± 3.18 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
allenai/OLMo-1.7-7B-hf (few-shot) 6888 50 4096 True 3,371 ± 876 / 561 ± 184 2.88 2.96 3.28 2.39 33.80 ± 2.66 / 25.32 ± 3.06 31.57 ± 2.65 / 46.48 ± 3.84 2.76 ± 1.76 / 44.96 ± 3.93 54.20 ± 1.63 / 59.50 ± 1.54 42.78 ± 1.09 / 37.34 ± 1.81 42.85 ± 1.93 / 37.34 ± 3.04 36.68 ± 2.11 / 46.78 ± 2.71 2.39 ± 1.54 / 43.99 ± 3.66 1.91 ± 1.37 / 44.20 ± 4.28 39.16 ± 2.56 / 62.28 ± 2.34 41.25 ± 2.07 / 32.87 ± 2.49 76.60 ± 0.98 / 64.63 ± 2.41 6.37 ± 2.08 / 49.55 ± 3.34 54.87 ± 0.64 / 61.35 ± 0.68 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4 12.10.5
birgermoell/roberta-swedish-scandi 125 50 512 True 15,385 ± 2,815 / 3,578 ± 1,177 2.88 3.05 3.49 2.11 49.22 ± 1.85 / 47.83 ± 1.59 33.51 ± 1.46 / 54.93 ± 1.21 12.08 ± 8.71 / 54.24 ± 4.71 24.49 ± 1.67 / 28.88 ± 1.71 72.74 ± 2.03 / 69.79 ± 2.34 69.74 ± 1.81 / 65.59 ± 2.06 29.68 ± 1.91 / 43.64 ± 2.18 15.83 ± 10.06 / 55.51 ± 5.25 8.70 ± 4.78 / 52.69 ± 2.75 1.04 ± 1.17 / 1.93 ± 2.12 68.55 ± 3.16 / 62.00 ± 2.58 69.96 ± 1.75 / 68.67 ± 3.21 52.88 ± 14.23 / 75.25 ± 7.45 27.99 ± 1.23 / 32.49 ± 1.27 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
NorwAI/NorwAI-Llama2-7B (few-shot) 7033 68 4096 True 4,438 ± 1,128 / 1,028 ± 346 2.89 2.86 3.22 2.59 16.72 ± 2.23 / 15.96 ± 2.08 45.89 ± 2.13 / 63.12 ± 1.98 11.25 ± 2.33 / 51.88 ± 2.35 53.17 ± 0.79 / 59.30 ± 0.66 31.45 ± 1.64 / 31.64 ± 1.89 33.85 ± 1.95 / 34.29 ± 1.91 36.06 ± 3.96 / 52.59 ± 4.67 8.34 ± 2.97 / 45.11 ± 4.57 6.84 ± 3.88 / 45.28 ± 5.45 48.31 ± 4.22 / 69.39 ± 4.10 24.98 ± 2.04 / 25.50 ± 1.92 79.36 ± 1.35 / 76.34 ± 3.44 5.75 ± 2.23 / 41.27 ± 4.75 54.74 ± 0.84 / 60.74 ± 0.65 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5
MaLA-LM/emma-500-llama2-7b (few-shot) 6738 32 4096 True 6,275 ± 1,193 / 1,755 ± 578 2.91 3.02 3.28 2.43 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 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
norallm/normistral-7b-warm (few-shot) 7248 33 2048 True 3,175 ± 456 / 1,186 ± 354 2.91 2.83 3.43 2.46 37.80 ± 2.75 / 24.74 ± 2.30 40.51 ± 1.75 / 55.84 ± 2.46 3.35 ± 1.84 / 44.60 ± 4.67 49.08 ± 1.74 / 55.58 ± 1.57 42.29 ± 4.36 / 31.45 ± 1.88 46.29 ± 3.44 / 35.99 ± 4.20 27.05 ± 3.33 / 45.30 ± 3.46 1.63 ± 2.58 / 38.29 ± 4.05 2.57 ± 1.78 / 40.92 ± 4.00 39.18 ± 2.84 / 61.85 ± 3.07 48.78 ± 5.08 / 26.81 ± 3.42 76.09 ± 1.23 / 74.78 ± 1.97 2.53 ± 2.80 / 47.37 ± 2.29 48.93 ± 0.97 / 55.09 ± 0.85 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0
sarnikowski/electra-small-discriminator-da-256-cased 13 29 512 True 20,340 ± 3,185 / 5,178 ± 1,700 2.91 2.52 3.28 2.92 60.63 ± 1.32 / 56.90 ± 1.49 24.38 ± 1.74 / 40.85 ± 3.07 68.58 ± 1.38 / 84.12 ± 0.69 21.03 ± 1.09 / 27.53 ± 0.88 73.15 ± 1.21 / 70.05 ± 1.16 66.34 ± 1.25 / 62.07 ± 1.31 29.97 ± 0.99 / 42.12 ± 0.47 40.79 ± 2.06 / 69.48 ± 1.44 25.08 ± 1.86 / 61.74 ± 0.81 1.93 ± 2.05 / 3.62 ± 3.99 52.79 ± 1.21 / 48.47 ± 0.71 57.93 ± 1.56 / 53.71 ± 0.61 14.72 ± 2.01 / 55.92 ± 1.11 20.54 ± 0.97 / 26.37 ± 0.75 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
sarnikowski/convbert-small-da-cased 13 29 512 True 14,273 ± 2,312 / 3,555 ± 1,187 2.93 2.55 3.23 3.00 60.59 ± 1.84 / 57.31 ± 1.47 29.52 ± 2.89 / 47.81 ± 4.54 57.10 ± 2.02 / 78.14 ± 1.10 20.16 ± 0.73 / 25.69 ± 0.60 76.07 ± 1.18 / 72.78 ± 1.16 70.94 ± 1.19 / 66.73 ± 1.21 32.49 ± 1.55 / 43.12 ± 0.71 35.43 ± 2.39 / 66.84 ± 1.17 21.11 ± 1.97 / 60.09 ± 0.93 1.84 ± 2.41 / 2.78 ± 3.65 55.06 ± 0.96 / 51.37 ± 1.03 53.70 ± 1.46 / 51.98 ± 0.58 12.38 ± 3.23 / 55.18 ± 1.91 22.53 ± 0.86 / 27.59 ± 0.94 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
LumiOpen/Viking-13B (few-shot) 14030 131 4097 True 840 ± 79 / 400 ± 124 2.96 2.76 3.58 2.53 28.60 ± 4.69 / 20.29 ± 3.37 48.71 ± 1.27 / 60.90 ± 2.95 2.30 ± 1.34 / 37.21 ± 2.50 53.85 ± 1.73 / 58.96 ± 1.67 26.76 ± 6.99 / 23.69 ± 3.73 35.38 ± 5.87 / 27.52 ± 3.45 29.22 ± 2.89 / 39.25 ± 1.86 2.58 ± 2.68 / 36.11 ± 2.42 2.79 ± 1.44 / 36.17 ± 1.51 34.41 ± 3.68 / 53.61 ± 4.28 31.55 ± 4.67 / 18.37 ± 2.73 78.66 ± 1.03 / 78.34 ± 1.13 5.69 ± 2.24 / 44.98 ± 3.55 52.93 ± 1.30 / 57.87 ± 1.27 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.5 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5
ibm-granite/granite-3.0-2b-base (few-shot) 2534 49 4097 True 10,187 ± 2,363 / 2,204 ± 737 2.97 3.01 3.31 2.60 32.34 ± 3.77 / 24.48 ± 3.17 29.50 ± 3.63 / 42.61 ± 4.86 3.89 ± 1.49 / 37.29 ± 3.65 53.67 ± 0.84 / 59.15 ± 0.69 43.00 ± 2.81 / 35.39 ± 2.28 45.08 ± 0.83 / 38.16 ± 1.91 35.36 ± 2.31 / 54.88 ± 2.08 2.79 ± 1.92 / 41.90 ± 4.62 1.95 ± 2.02 / 38.91 ± 3.27 37.33 ± 3.11 / 59.74 ± 2.74 36.54 ± 2.70 / 28.79 ± 3.85 68.85 ± 5.19 / 70.02 ± 3.95 2.60 ± 2.58 / 40.21 ± 4.08 54.58 ± 0.89 / 59.78 ± 0.77 13.0.0 13.0.0 13.0.0 13.0.0 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
01-ai/Yi-1.5-6B (few-shot) 6061 64 4097 True 2,867 ± 550 / 793 ± 253 2.98 3.20 3.29 2.45 35.21 ± 2.52 / 23.65 ± 2.52 12.73 ± 2.87 / 22.69 ± 1.80 4.75 ± 2.45 / 35.71 ± 3.01 55.95 ± 1.09 / 61.53 ± 0.75 46.02 ± 2.12 / 35.05 ± 2.84 48.72 ± 1.76 / 35.97 ± 2.78 27.86 ± 0.76 / 31.62 ± 0.80 2.41 ± 1.92 / 35.60 ± 2.65 2.50 ± 2.05 / 34.90 ± 1.27 44.70 ± 3.79 / 67.06 ± 2.85 45.55 ± 2.18 / 26.78 ± 3.65 70.71 ± 1.99 / 71.19 ± 1.14 4.83 ± 3.48 / 36.64 ± 2.95 55.25 ± 1.21 / 61.21 ± 0.89 13.0.0 13.0.0 13.0.0 13.0.0 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
HPLT/gpt-33b-nordic-prerelease (few-shot) 33119 131 4099 True 501 ± 50 / 238 ± 69 2.98 2.90 3.42 2.62 25.35 ± 3.59 / 17.77 ± 2.25 44.70 ± 1.80 / 60.56 ± 2.77 1.43 ± 1.60 / 34.16 ± 1.04 52.29 ± 0.96 / 58.32 ± 0.75 31.38 ± 5.44 / 24.32 ± 2.75 37.84 ± 4.65 / 29.35 ± 4.10 38.88 ± 4.12 / 54.92 ± 4.66 3.41 ± 2.16 / 35.53 ± 2.75 3.11 ± 1.55 / 39.80 ± 4.20 30.39 ± 2.51 / 51.24 ± 2.87 33.61 ± 6.02 / 22.18 ± 4.32 76.75 ± 1.17 / 74.66 ± 1.20 1.66 ± 1.36 / 33.60 ± 0.30 50.68 ± 1.94 / 56.96 ± 1.73 12.9.1 12.9.1 12.10.0 12.10.0 12.9.1 12.10.0 12.9.1 12.10.0 12.10.0 12.10.0 12.9.1 12.9.1 12.10.0 12.10.0
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) 3374 49 4096 True 10,246 ± 3,021 / 1,629 ± 550 3.00 2.97 3.43 2.59 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 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
stabilityai/stablelm-2-1_6b (few-shot) 1645 100 4096 True 7,259 ± 2,120 / 1,240 ± 432 3.00 2.97 3.47 2.55 28.45 ± 1.61 / 22.90 ± 1.63 39.09 ± 1.15 / 45.25 ± 0.82 1.43 ± 1.26 / 37.98 ± 2.74 51.67 ± 2.31 / 57.34 ± 2.60 41.64 ± 3.64 / 39.43 ± 3.55 42.37 ± 3.13 / 40.79 ± 3.10 33.71 ± 2.57 / 55.00 ± 1.41 -0.19 ± 0.77 / 33.29 ± 0.30 -0.01 ± 1.25 / 34.51 ± 2.09 30.14 ± 2.44 / 50.96 ± 3.46 38.00 ± 4.39 / 29.74 ± 5.04 75.15 ± 0.55 / 61.46 ± 0.82 1.04 ± 2.08 / 34.49 ± 1.17 53.11 ± 0.53 / 58.91 ± 0.32 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8
dbmdz/bert-base-historic-multilingual-cased 111 32 512 True 20,047 ± 4,407 / 3,844 ± 1,259 3.03 3.28 3.38 2.44 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
google/gemma-2-2b (few-shot) 2614 256 8193 True 5,235 ± 1,226 / 1,154 ± 366 3.04 3.06 3.52 2.53 17.29 ± 2.84 / 13.87 ± 2.03 34.94 ± 2.71 / 42.58 ± 3.24 6.39 ± 2.41 / 45.03 ± 4.32 54.94 ± 1.00 / 59.95 ± 1.03 20.47 ± 4.02 / 21.28 ± 2.58 24.18 ± 4.24 / 24.41 ± 3.40 32.61 ± 1.86 / 47.91 ± 2.11 3.22 ± 1.55 / 36.61 ± 2.49 3.91 ± 2.50 / 45.37 ± 4.56 41.16 ± 3.73 / 63.31 ± 3.73 30.45 ± 3.49 / 23.98 ± 3.18 76.36 ± 1.10 / 65.98 ± 2.36 6.06 ± 2.07 / 49.80 ± 2.71 55.19 ± 0.71 / 60.59 ± 0.61 13.0.0 13.0.0 13.0.0 13.0.0 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 3.04 3.12 3.31 2.70 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
sentence-transformers/quora-distilbert-multilingual 135 120 512 True 26,458 ± 5,992 / 5,274 ± 1,731 3.04 3.12 3.31 2.70 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) 7111 64 2048 True 2,351 ± 448 / 707 ± 216 3.05 3.29 3.27 2.60 20.84 ± 2.40 / 16.93 ± 1.98 18.07 ± 3.41 / 27.21 ± 2.91 10.54 ± 2.38 / 48.37 ± 3.58 51.22 ± 0.94 / 57.23 ± 0.68 29.62 ± 4.17 / 24.40 ± 2.42 32.30 ± 5.27 / 29.23 ± 3.22 34.67 ± 5.23 / 54.62 ± 5.71 8.37 ± 1.71 / 48.94 ± 2.72 7.76 ± 2.86 / 46.16 ± 4.77 44.62 ± 3.31 / 67.57 ± 3.03 28.73 ± 3.63 / 20.43 ± 3.72 77.47 ± 1.36 / 78.60 ± 1.25 8.78 ± 2.01 / 42.28 ± 3.17 50.57 ± 0.94 / 56.51 ± 0.79 9.2.0 9.2.0 9.2.0 12.5.1 9.2.0 9.2.0 9.2.0 9.2.0 9.2.0 12.5.1 9.2.0 9.2.0 9.2.0 12.5.1
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) 20918 64 2048 True 1,831 ± 587 / 268 ± 90 3.06 3.13 3.27 2.79 15.94 ± 1.59 / 14.05 ± 1.45 32.78 ± 4.04 / 47.79 ± 5.25 7.86 ± 1.87 / 41.91 ± 2.25 52.16 ± 0.84 / 60.27 ± 0.51 23.95 ± 1.93 / 21.43 ± 1.89 26.55 ± 1.50 / 25.06 ± 1.61 40.89 ± 3.60 / 59.86 ± 3.59 9.45 ± 1.58 / 44.62 ± 3.29 8.32 ± 1.89 / 42.30 ± 2.78 43.19 ± 1.82 / 67.93 ± 1.55 15.70 ± 1.54 / 14.65 ± 1.52 68.23 ± 3.81 / 71.17 ± 3.07 12.39 ± 1.39 / 50.99 ± 3.37 52.04 ± 0.97 / 60.86 ± 0.77 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
Maltehb/aelaectra-danish-electra-small-cased 14 32 128 True 4,593 ± 114 / 3,034 ± 973 3.07 2.65 3.35 3.21 63.31 ± 1.75 / 58.18 ± 1.78 32.72 ± 2.91 / 49.84 ± 4.90 67.74 ± 1.33 / 83.32 ± 0.71 0.00 ± 0.00 / 0.00 ± 0.00 71.85 ± 1.11 / 68.20 ± 1.23 67.14 ± 1.18 / 62.61 ± 1.22 29.00 ± 1.28 / 41.72 ± 0.52 33.57 ± 2.58 / 65.22 ± 1.59 21.79 ± 1.60 / 60.32 ± 0.99 0.03 ± 0.07 / 0.05 ± 0.10 57.82 ± 1.40 / 54.55 ± 1.33 55.68 ± 1.09 / 52.81 ± 0.44 19.26 ± 1.80 / 58.62 ± 1.22 0.00 ± 0.00 / 0.00 ± 0.00 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ibm-granite/granite-3b-code-instruct-2k (few-shot) 3483 49 2048 True 9,059 ± 1,947 / 2,201 ± 728 3.07 3.03 3.54 2.65 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 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
nvidia/mistral-nemo-minitron-8b-instruct (few-shot) 8414 131 8192 True 3,161 ± 676 / 1,247 ± 481 3.07 2.96 3.37 2.88 49.01 ± 1.94 / 29.13 ± 2.09 47.95 ± 1.37 / 64.82 ± 0.89 32.89 ± 1.40 / 66.18 ± 0.64 0.00 ± 0.00 / 17.81 ± 0.42 63.70 ± 0.98 / 39.82 ± 2.02 62.53 ± 1.64 / 40.20 ± 2.22 34.35 ± 0.92 / 37.57 ± 0.55 31.53 ± 1.91 / 64.14 ± 1.52 22.71 ± 2.23 / 57.77 ± 2.48 0.06 ± 0.04 / 26.09 ± 1.72 48.51 ± 1.91 / 24.61 ± 1.44 78.68 ± 0.89 / 78.07 ± 0.97 29.18 ± 2.29 / 63.69 ± 1.55 0.00 ± 0.00 / 16.78 ± 0.35 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 3.08 3.17 3.25 2.81 4.51 ± 2.12 / 3.71 ± 1.76 40.85 ± 1.26 / 59.79 ± 1.32 5.43 ± 1.74 / 46.21 ± 4.13 51.76 ± 0.73 / 58.44 ± 0.54 52.18 ± 2.03 / 29.83 ± 3.23 50.53 ± 1.49 / 31.94 ± 4.20 33.30 ± 2.01 / 51.15 ± 2.93 2.63 ± 2.56 / 40.21 ± 3.98 4.00 ± 1.87 / 44.87 ± 3.17 37.08 ± 2.44 / 61.14 ± 2.01 42.36 ± 1.67 / 21.33 ± 2.90 51.53 ± 6.32 / 62.14 ± 3.43 3.11 ± 1.60 / 47.93 ± 2.93 51.11 ± 0.96 / 57.21 ± 0.95 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1
LumiOpen/Viking-7B (few-shot) 7550 131 4096 True 1,431 ± 352 / 287 ± 97 3.09 3.05 3.52 2.71 23.98 ± 3.74 / 17.18 ± 2.86 38.74 ± 2.15 / 49.48 ± 3.14 1.04 ± 1.57 / 33.67 ± 0.22 50.17 ± 0.92 / 56.29 ± 0.78 22.37 ± 5.96 / 23.75 ± 3.97 29.90 ± 4.44 / 26.84 ± 3.45 35.86 ± 3.52 / 52.28 ± 3.76 1.03 ± 2.07 / 36.12 ± 2.97 2.92 ± 1.89 / 36.47 ± 2.72 34.39 ± 3.15 / 54.65 ± 3.56 30.64 ± 4.19 / 23.90 ± 3.44 72.02 ± 3.18 / 72.36 ± 3.96 1.08 ± 1.36 / 38.63 ± 3.03 48.72 ± 1.05 / 54.59 ± 1.10 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
dbmdz/bert-medium-historic-multilingual-cased 42 32 512 True 24,291 ± 4,887 / 5,096 ± 1,655 3.09 3.25 3.43 2.59 49.88 ± 2.14 / 46.74 ± 1.94 27.93 ± 0.66 / 50.86 ± 0.42 5.42 ± 2.85 / 48.29 ± 3.93 22.93 ± 0.81 / 28.62 ± 0.62 69.65 ± 1.48 / 66.15 ± 1.66 66.78 ± 1.28 / 62.75 ± 1.40 26.33 ± 1.84 / 40.67 ± 0.71 6.62 ± 3.40 / 48.37 ± 4.02 5.16 ± 3.07 / 45.99 ± 4.76 15.75 ± 1.30 / 27.15 ± 1.91 66.11 ± 1.24 / 61.03 ± 1.08 59.66 ± 1.84 / 55.24 ± 1.32 26.28 ± 8.44 / 59.64 ± 5.68 24.36 ± 0.92 / 30.54 ± 0.96 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ibm-granite/granite-3b-code-base-2k (few-shot) 3483 49 2048 True 2,732 ± 868 / 662 ± 238 3.09 2.90 3.85 2.51 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 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-3.2-1B-Instruct (few-shot) 1236 128 131073 False 7,436 ± 1,846 / 1,508 ± 479 3.12 3.00 3.70 2.67 35.45 ± 2.41 / 30.39 ± 1.72 36.94 ± 1.08 / 49.24 ± 1.41 1.12 ± 2.21 / 44.63 ± 2.92 44.61 ± 0.84 / 53.34 ± 0.63 44.66 ± 0.68 / 41.13 ± 2.11 47.78 ± 1.22 / 44.30 ± 1.57 27.43 ± 1.89 / 42.83 ± 3.08 0.07 ± 1.51 / 34.07 ± 0.78 1.14 ± 1.23 / 33.17 ± 0.47 18.00 ± 3.56 / 39.37 ± 4.69 41.60 ± 2.74 / 37.22 ± 3.26 71.86 ± 2.01 / 71.15 ± 2.16 3.72 ± 1.40 / 48.04 ± 1.96 43.57 ± 1.35 / 52.90 ± 1.42 13.0.0 13.0.0 13.0.0 13.0.0 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
HPLT/gpt-13b-nordic-prerelease (few-shot) 14030 131 4099 True 3,520 ± 736 / 823 ± 273 3.14 2.97 3.76 2.69 28.72 ± 2.61 / 20.53 ± 2.46 37.19 ± 3.92 / 53.63 ± 4.06 2.96 ± 1.73 / 46.67 ± 3.16 49.53 ± 1.49 / 54.83 ± 1.67 28.94 ± 5.63 / 27.01 ± 4.91 33.83 ± 5.52 / 30.49 ± 4.07 27.32 ± 3.13 / 38.30 ± 2.19 1.46 ± 1.07 / 49.06 ± 1.04 -0.59 ± 1.36 / 45.94 ± 2.35 25.62 ± 4.99 / 40.88 ± 7.54 32.19 ± 4.64 / 24.93 ± 4.09 72.26 ± 6.90 / 72.58 ± 5.87 2.39 ± 1.29 / 48.49 ± 2.46 48.92 ± 2.28 / 53.44 ± 2.49 12.6.1 12.6.1 12.6.1 12.6.1 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
utter-project/EuroLLM-1.7B-Instruct (few-shot) 1657 128 4096 True 15,009 ± 4,072 / 2,702 ± 878 3.14 3.08 3.57 2.76 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 13.1.0 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
Maltehb/aelaectra-danish-electra-small-uncased 14 32 128 True 5,995 ± 135 / 3,839 ± 1,247 3.17 2.66 3.46 3.38 62.52 ± 1.33 / 57.14 ± 1.29 34.45 ± 3.16 / 51.40 ± 5.12 65.15 ± 0.81 / 82.32 ± 0.45 2.51 ± 2.06 / 2.75 ± 2.29 59.76 ± 3.01 / 55.95 ± 2.74 51.44 ± 2.28 / 48.14 ± 1.95 33.41 ± 1.40 / 45.12 ± 1.87 32.87 ± 1.49 / 65.82 ± 0.78 20.09 ± 1.88 / 59.27 ± 1.08 0.00 ± 0.00 / 0.00 ± 0.00 39.17 ± 4.06 / 36.74 ± 3.78 57.71 ± 1.40 / 53.54 ± 0.59 17.10 ± 2.57 / 57.41 ± 1.03 0.11 ± 0.11 / 0.13 ± 0.12 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
jjzha/dajobbert-base-uncased 110 32 512 True 16,243 ± 2,428 / 4,593 ± 1,484 3.17 2.64 3.55 3.31 60.78 ± 1.12 / 55.74 ± 1.15 39.65 ± 1.31 / 59.23 ± 0.94 37.67 ± 7.20 / 65.47 ± 3.22 15.41 ± 3.05 / 22.46 ± 2.81 65.95 ± 0.72 / 62.62 ± 0.66 55.29 ± 1.26 / 51.50 ± 1.21 33.31 ± 2.87 / 48.75 ± 3.38 20.34 ± 4.81 / 58.57 ± 2.56 8.07 ± 2.44 / 53.43 ± 1.32 0.00 ± 0.00 / 0.14 ± 0.16 42.99 ± 1.57 / 39.98 ± 1.42 55.49 ± 1.28 / 55.99 ± 2.15 4.69 ± 2.28 / 51.01 ± 1.58 14.22 ± 1.90 / 20.83 ± 1.46 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.18 3.08 3.66 2.81 19.97 ± 3.91 / 16.51 ± 3.20 40.21 ± 1.00 / 46.73 ± 1.82 2.27 ± 2.39 / 38.71 ± 4.03 50.55 ± 1.22 / 56.27 ± 1.09 15.53 ± 5.69 / 15.49 ± 5.08 19.78 ± 4.54 / 18.86 ± 4.22 32.89 ± 1.65 / 42.58 ± 3.16 1.18 ± 1.00 / 33.34 ± 0.26 0.00 ± 0.00 / 32.79 ± 0.34 33.33 ± 3.73 / 53.15 ± 4.42 14.67 ± 4.71 / 14.85 ± 3.77 75.45 ± 1.10 / 64.08 ± 1.47 3.82 ± 1.23 / 44.81 ± 3.55 51.73 ± 0.88 / 57.35 ± 0.82 12.5.2 12.1.0 12.1.0 12.1.0 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
NbAiLab/nb-llama-3.1-8B (few-shot) 8030 128 131072 True 1,297 ± 338 / 245 ± 83 3.20 3.33 3.39 2.89 44.83 ± 1.57 / 29.75 ± 1.72 37.14 ± 1.61 / 44.74 ± 2.01 10.13 ± 5.10 / 38.99 ± 4.78 8.09 ± 1.64 / 25.61 ± 3.07 51.85 ± 2.62 / 39.77 ± 2.84 54.79 ± 2.20 / 44.97 ± 2.37 31.84 ± 1.39 / 35.10 ± 1.48 36.30 ± 2.59 / 64.51 ± 1.65 32.19 ± 2.36 / 62.68 ± 2.41 0.71 ± 0.32 / 21.70 ± 1.90 53.65 ± 2.53 / 39.64 ± 3.15 80.41 ± 0.94 / 76.59 ± 2.74 5.81 ± 2.66 / 35.16 ± 1.09 10.43 ± 3.47 / 27.86 ± 4.03 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) 1445 64 2048 True 4,544 ± 1,000 / 1,106 ± 359 3.22 3.38 3.41 2.88 14.73 ± 1.84 / 14.44 ± 1.74 27.14 ± 1.93 / 42.34 ± 2.51 2.65 ± 1.66 / 40.63 ± 4.02 46.38 ± 0.61 / 54.18 ± 0.52 33.08 ± 2.22 / 34.51 ± 2.24 38.28 ± 2.63 / 40.50 ± 2.72 35.58 ± 2.13 / 44.49 ± 2.52 0.82 ± 1.46 / 34.78 ± 1.54 1.43 ± 1.70 / 34.19 ± 1.10 36.06 ± 1.76 / 58.71 ± 1.63 19.04 ± 2.67 / 19.98 ± 2.64 73.34 ± 1.34 / 68.41 ± 2.31 2.90 ± 1.74 / 44.43 ± 4.49 47.45 ± 0.58 / 54.69 ± 0.56 12.5.2 9.3.1 12.1.0 12.4.0 12.5.2 12.5.2 9.3.1 12.1.0 12.1.0 12.4.0 12.5.2 9.3.1 12.1.0 12.4.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 3.22 2.82 3.34 3.51 32.28 ± 3.16 / 23.24 ± 3.51 39.62 ± 2.39 / 56.09 ± 2.89 5.38 ± 2.18 / 36.31 ± 1.96 54.16 ± 0.89 / 60.63 ± 0.75 32.12 ± 5.17 / 32.01 ± 2.80 36.86 ± 3.53 / 35.46 ± 3.07 36.97 ± 1.94 / 55.08 ± 2.30 5.27 ± 3.31 / 40.91 ± 5.24 1.40 ± 1.87 / 33.64 ± 0.74 40.00 ± 2.26 / 62.87 ± 1.60 37.26 ± 4.28 / 29.89 ± 5.96 5.20 ± 7.35 / 30.65 ± 4.97 1.85 ± 1.54 / 33.71 ± 0.46 54.15 ± 0.58 / 60.15 ± 0.59 12.5.2 10.0.1 12.1.0 12.1.0 12.5.2 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.5.2 9.3.2 12.1.0 12.1.0
ibm-granite/granite-7b-base (few-shot) 6738 32 2048 True 4,405 ± 1,098 / 1,032 ± 345 3.23 3.15 3.84 2.69 24.93 ± 4.36 / 22.23 ± 3.32 31.65 ± 2.94 / 51.95 ± 2.92 0.06 ± 1.20 / 34.30 ± 1.04 51.47 ± 1.82 / 57.00 ± 1.94 32.21 ± 1.63 / 31.19 ± 1.29 36.62 ± 1.94 / 36.40 ± 2.17 16.98 ± 3.42 / 27.01 ± 3.17 1.57 ± 1.20 / 41.68 ± 4.20 0.97 ± 1.79 / 40.10 ± 4.50 26.28 ± 1.51 / 44.62 ± 2.11 33.34 ± 3.41 / 30.50 ± 3.44 72.00 ± 1.15 / 69.12 ± 2.00 0.25 ± 1.72 / 43.46 ± 3.96 52.53 ± 1.03 / 57.96 ± 0.98 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
meta-llama/Llama-3.2-1B (few-shot) 1236 128 131073 True 7,577 ± 1,884 / 1,555 ± 492 3.23 3.17 3.81 2.71 19.82 ± 4.70 / 17.20 ± 3.57 35.97 ± 3.00 / 49.88 ± 3.80 2.14 ± 2.61 / 44.16 ± 4.48 46.59 ± 5.44 / 51.92 ± 6.14 30.54 ± 3.75 / 29.88 ± 3.25 31.34 ± 4.72 / 30.46 ± 4.56 29.50 ± 4.18 / 49.19 ± 4.59 -0.13 ± 1.28 / 37.46 ± 3.25 0.02 ± 1.75 / 39.49 ± 4.41 19.59 ± 5.61 / 34.02 ± 8.33 29.89 ± 7.13 / 27.65 ± 6.45 74.33 ± 1.07 / 73.73 ± 1.77 1.06 ± 1.79 / 43.95 ± 3.08 46.89 ± 2.72 / 52.70 ± 3.39 13.0.0 13.0.0 13.0.0 13.0.0 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 3.24 3.15 3.72 2.86 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 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
ibm-granite/granite-7b-instruct (few-shot) 6738 32 4096 True 3,136 ± 558 / 942 ± 290 3.26 3.19 3.72 2.88 23.87 ± 1.61 / 20.19 ± 1.60 31.21 ± 1.84 / 50.13 ± 2.79 2.04 ± 1.44 / 45.31 ± 3.73 47.36 ± 0.81 / 54.08 ± 0.86 37.73 ± 2.53 / 31.57 ± 3.65 40.07 ± 1.68 / 35.25 ± 2.70 21.50 ± 2.19 / 36.73 ± 3.30 0.86 ± 1.18 / 44.09 ± 2.96 2.01 ± 1.11 / 41.46 ± 3.24 27.03 ± 1.40 / 48.70 ± 1.69 29.08 ± 2.82 / 25.68 ± 3.52 65.51 ± 1.71 / 69.73 ± 1.24 0.50 ± 1.34 / 45.71 ± 2.55 46.52 ± 0.88 / 54.03 ± 0.77 13.2.0 13.0.0 13.2.0 13.2.0 13.2.0 13.2.0 13.0.0 13.2.0 13.2.0 13.2.0 13.2.0 13.0.0 13.2.0 13.2.0
ibm-granite/granite-3.0-3b-a800m-base (few-shot) 3374 49 4096 True 10,504 ± 3,028 / 1,678 ± 559 3.31 3.48 3.59 2.85 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 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
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) 1711 49 8192 True 15,971 ± 3,654 / 3,609 ± 1,197 3.33 3.39 3.81 2.78 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 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
HPLT/gpt-7b-nordic-prerelease (few-shot) 7550 131 4096 True 1,382 ± 337 / 257 ± 91 3.34 3.11 3.98 2.94 21.98 ± 3.33 / 18.42 ± 2.62 37.77 ± 3.06 / 55.35 ± 4.51 1.26 ± 1.86 / 34.03 ± 0.86 46.03 ± 1.44 / 52.54 ± 1.95 20.25 ± 6.26 / 20.45 ± 5.54 28.99 ± 5.03 / 27.50 ± 4.36 17.44 ± 3.49 / 35.51 ± 4.10 3.20 ± 1.84 / 34.58 ± 0.97 2.61 ± 1.80 / 34.49 ± 1.46 21.50 ± 2.60 / 40.73 ± 3.86 27.07 ± 6.33 / 25.24 ± 4.89 61.96 ± 2.69 / 67.81 ± 2.27 2.65 ± 1.46 / 40.25 ± 4.08 46.16 ± 0.91 / 52.35 ± 0.87 12.5.2 12.3.2 12.3.2 12.3.2 12.5.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 1,473 ± 493 / 448 ± 143 3.36 3.65 3.40 3.02 15.35 ± 1.38 / 14.74 ± 1.30 2.85 ± 1.54 / 18.05 ± 0.23 10.99 ± 2.52 / 54.07 ± 1.93 50.51 ± 0.90 / 58.22 ± 0.76 24.67 ± 1.69 / 24.58 ± 1.95 29.03 ± 2.12 / 29.83 ± 2.15 34.39 ± 5.34 / 50.45 ± 6.08 2.42 ± 1.83 / 35.49 ± 2.63 5.11 ± 2.68 / 38.37 ± 3.31 42.52 ± 2.05 / 68.98 ± 2.23 14.58 ± 1.30 / 14.79 ± 1.27 56.60 ± 3.37 / 62.73 ± 3.61 10.92 ± 1.83 / 52.63 ± 2.98 50.18 ± 0.54 / 57.90 ± 0.53 9.2.0 9.2.0 9.2.0 12.4.0 9.2.0 9.2.0 9.2.0 9.2.0 9.2.0 12.4.0 9.2.0 9.2.0 9.2.0 12.4.0
allenai/OLMo-7B (few-shot) 6888 50 2051 True 5,403 ± 1,133 / 1,294 ± 423 3.36 3.21 4.15 2.72 26.76 ± 3.11 / 19.46 ± 2.38 30.76 ± 4.38 / 44.83 ± 4.36 0.55 ± 1.73 / 39.40 ± 4.57 45.65 ± 1.22 / 52.49 ± 1.01 34.42 ± 3.22 / 27.79 ± 2.40 35.17 ± 4.05 / 30.70 ± 3.37 21.46 ± 5.63 / 38.36 ± 6.18 0.34 ± 1.25 / 33.60 ± 0.50 0.26 ± 0.58 / 34.69 ± 3.11 0.12 ± 0.04 / 9.85 ± 0.17 37.36 ± 2.11 / 28.59 ± 3.03 72.08 ± 1.20 / 63.52 ± 3.36 -0.86 ± 1.61 / 33.84 ± 0.59 45.16 ± 0.96 / 51.46 ± 0.93 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.36 3.24 3.61 3.22 24.44 ± 2.59 / 17.37 ± 2.03 34.03 ± 2.50 / 52.42 ± 2.16 2.25 ± 1.28 / 42.33 ± 3.11 42.12 ± 1.18 / 49.76 ± 1.22 39.78 ± 2.67 / 31.15 ± 2.70 43.58 ± 2.49 / 36.60 ± 2.76 22.01 ± 3.00 / 40.48 ± 2.81 2.76 ± 1.35 / 44.34 ± 3.05 1.45 ± 1.35 / 39.55 ± 3.53 32.42 ± 1.72 / 56.65 ± 0.92 33.51 ± 2.12 / 23.48 ± 2.69 43.97 ± 1.64 / 57.41 ± 1.18 0.53 ± 1.09 / 39.60 ± 1.99 39.39 ± 1.04 / 47.28 ± 1.02 12.5.2 12.1.0 12.1.0 12.4.0 12.5.2 12.5.2 12.1.0 12.1.0 12.1.0 12.4.0 12.5.2 12.1.0 12.1.0 12.4.0
EuropeanParliament/EUBERT 94 66 512 True 20,070 ± 3,977 / 4,400 ± 1,435 3.37 3.21 3.81 3.08 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 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
AI-Sweden-Models/gpt-sw3-6.7b (few-shot) 7111 64 2048 True 2,285 ± 443 / 671 ± 205 3.40 3.34 3.75 3.11 18.23 ± 5.87 / 14.77 ± 3.36 22.71 ± 5.21 / 35.11 ± 6.59 5.03 ± 2.51 / 49.00 ± 2.64 49.11 ± 1.16 / 55.56 ± 1.21 22.35 ± 7.84 / 23.89 ± 4.74 21.98 ± 7.52 / 27.22 ± 4.97 18.23 ± 9.28 / 38.93 ± 6.44 1.68 ± 1.35 / 39.93 ± 2.78 2.49 ± 1.88 / 40.26 ± 3.23 41.80 ± 3.14 / 64.25 ± 3.13 18.83 ± 6.41 / 17.59 ± 4.55 53.68 ± 10.39 / 58.92 ± 10.87 3.49 ± 2.20 / 46.13 ± 4.13 49.81 ± 0.70 / 55.99 ± 0.69 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) 1445 64 2048 True 4,608 ± 988 / 1,115 ± 354 3.42 3.47 3.78 3.02 8.80 ± 5.54 / 8.63 ± 4.48 28.65 ± 2.81 / 47.83 ± 3.55 2.84 ± 1.81 / 49.21 ± 1.95 45.34 ± 0.88 / 51.59 ± 0.80 13.49 ± 7.98 / 14.80 ± 7.68 14.74 ± 8.45 / 15.09 ± 7.85 27.28 ± 4.39 / 49.18 ± 4.23 3.09 ± 0.79 / 42.87 ± 3.49 1.86 ± 1.90 / 38.18 ± 1.44 34.91 ± 2.65 / 54.30 ± 2.96 6.08 ± 5.75 / 8.77 ± 4.46 71.38 ± 1.76 / 73.21 ± 1.18 1.17 ± 1.07 / 49.78 ± 0.86 45.55 ± 0.85 / 51.69 ± 0.79 9.3.1 9.3.1 9.3.1 12.5.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.1 9.3.1 9.3.1 9.3.1 12.5.1
NorwAI/NorwAI-Mistral-7B-instruct (few-shot) 7537 68 4096 False 3,027 ± 503 / 903 ± 296 3.43 3.52 3.73 3.05 13.78 ± 2.85 / 11.90 ± 2.13 42.16 ± 0.68 / 45.21 ± 0.45 3.52 ± 1.90 / 39.81 ± 3.18 20.02 ± 2.31 / 31.67 ± 2.19 27.49 ± 2.13 / 24.26 ± 1.41 32.33 ± 2.92 / 29.29 ± 2.05 47.78 ± 3.12 / 64.33 ± 2.80 3.92 ± 1.56 / 45.78 ± 2.36 4.27 ± 2.44 / 42.86 ± 3.51 2.46 ± 0.73 / 29.01 ± 1.18 20.97 ± 2.51 / 16.21 ± 2.03 77.76 ± 0.75 / 67.99 ± 2.31 2.35 ± 1.63 / 38.48 ± 1.53 28.65 ± 2.11 / 38.84 ± 1.85 12.10.5 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.4 12.10.5 12.10.5
mhenrichsen/danskgpt-tiny-chat (few-shot) 1100 32 2048 False 1,745 ± 978 / 686 ± 159 3.45 3.26 3.89 3.21 22.31 ± 2.55 / 19.30 ± 2.14 34.05 ± 2.37 / 52.43 ± 2.46 0.70 ± 1.11 / 40.47 ± 3.04 41.82 ± 2.07 / 48.91 ± 2.47 28.74 ± 4.18 / 28.29 ± 4.37 30.34 ± 6.08 / 30.02 ± 6.42 27.49 ± 3.13 / 48.00 ± 3.89 -2.17 ± 1.06 / 33.52 ± 0.37 0.26 ± 1.08 / 34.12 ± 0.45 19.10 ± 2.33 / 38.96 ± 2.78 27.31 ± 4.23 / 26.33 ± 4.40 45.94 ± 12.82 / 55.94 ± 8.25 -0.97 ± 1.64 / 36.69 ± 2.34 35.57 ± 2.45 / 41.66 ± 2.41 9.1.2 9.1.2 9.1.2 12.4.0 9.1.2 9.1.2 9.1.2 9.1.2 9.1.2 12.4.0 9.1.2 9.1.2 9.1.2 12.4.0
sentence-transformers/distiluse-base-multilingual-cased-v1 135 120 512 True 34,042 ± 8,482 / 5,951 ± 1,950 3.45 3.42 3.80 3.14 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
HuggingFaceTB/SmolLM2-1.7B (few-shot) 1711 49 8192 True 16,249 ± 3,690 / 3,689 ± 1,226 3.47 3.61 4.01 2.78 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 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
KBLab/albert-base-swedish-cased-alpha 14 50 512 True 15,925 ± 2,281 / 4,780 ± 1,554 3.47 3.70 3.84 2.88 29.90 ± 7.25 / 28.27 ± 6.86 19.79 ± 1.67 / 42.09 ± 1.98 6.15 ± 1.66 / 52.04 ± 1.49 15.96 ± 2.06 / 21.55 ± 2.17 66.97 ± 1.30 / 62.99 ± 1.05 63.90 ± 2.54 / 59.95 ± 2.51 18.85 ± 4.01 / 36.76 ± 2.79 5.83 ± 2.36 / 51.59 ± 1.57 4.02 ± 2.29 / 51.66 ± 1.21 0.00 ± 0.00 / 0.00 ± 0.00 47.19 ± 9.01 / 44.34 ± 8.27 56.57 ± 1.41 / 53.47 ± 0.84 20.92 ± 4.12 / 59.05 ± 1.86 23.86 ± 1.25 / 30.47 ± 1.51 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 3.51 3.42 3.78 3.32 11.28 ± 0.96 / 11.02 ± 0.85 34.94 ± 3.80 / 49.66 ± 3.96 2.08 ± 1.48 / 45.41 ± 3.83 36.59 ± 1.41 / 42.03 ± 1.44 24.38 ± 2.13 / 25.79 ± 2.29 31.28 ± 1.60 / 33.48 ± 1.60 30.88 ± 2.75 / 46.07 ± 3.07 -0.30 ± 1.46 / 34.93 ± 1.25 0.45 ± 0.57 / 33.74 ± 1.25 23.99 ± 1.59 / 42.69 ± 1.94 14.84 ± 1.63 / 15.90 ± 1.71 59.00 ± 3.60 / 54.09 ± 1.46 0.06 ± 1.21 / 34.76 ± 1.15 34.37 ± 1.36 / 40.44 ± 1.53 12.5.2 9.3.2 12.1.0 12.4.0 12.5.2 12.5.2 9.3.2 12.1.0 12.1.0 12.4.0 12.5.2 9.3.2 12.1.0 12.4.0
NbAiLab/nb-gpt-j-6B-alpaca (few-shot) 6055 50 1024 False 2,607 ± 592 / 680 ± 208 3.51 3.51 3.78 3.25 12.95 ± 3.80 / 11.68 ± 2.31 27.68 ± 3.64 / 46.61 ± 4.11 1.65 ± 1.96 / 47.94 ± 2.55 38.60 ± 0.65 / 47.40 ± 0.64 23.82 ± 4.25 / 22.08 ± 2.50 26.04 ± 6.38 / 24.47 ± 3.69 32.60 ± 1.84 / 47.47 ± 3.33 0.34 ± 1.43 / 44.47 ± 2.44 2.26 ± 2.27 / 45.41 ± 3.25 21.33 ± 0.98 / 42.76 ± 1.02 13.28 ± 4.32 / 13.40 ± 2.95 60.17 ± 8.39 / 65.99 ± 4.66 1.52 ± 1.94 / 45.19 ± 3.80 37.23 ± 1.07 / 46.83 ± 0.82 9.3.1 10.0.1 10.0.1 12.4.0 9.3.2 9.3.2 10.0.1 10.0.1 10.0.1 12.4.0 9.3.1 10.0.1 10.0.1 12.4.0
openGPT-X/Teuken-7B-instruct-commercial-v0.4 (few-shot) 7453 251 4096 True 1,438 ± 410 / 233 ± 79 3.51 3.37 3.83 3.32 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 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
dbmdz/bert-mini-historic-multilingual-cased 12 32 512 True 47,122 ± 9,661 / 9,714 ± 3,152 3.52 3.61 3.74 3.20 41.70 ± 1.80 / 38.74 ± 1.82 26.03 ± 0.90 / 48.46 ± 1.21 2.19 ± 1.92 / 49.80 ± 1.39 13.82 ± 0.82 / 20.76 ± 0.91 61.55 ± 1.55 / 58.24 ± 1.47 59.90 ± 1.56 / 56.03 ± 1.41 24.59 ± 1.57 / 40.34 ± 0.99 3.45 ± 2.10 / 50.80 ± 1.16 2.72 ± 1.56 / 48.79 ± 1.92 3.99 ± 2.02 / 7.49 ± 3.66 50.07 ± 4.14 / 47.04 ± 3.83 56.10 ± 1.85 / 52.92 ± 0.76 5.05 ± 2.27 / 51.08 ± 1.44 14.49 ± 1.13 / 22.34 ± 1.16 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) 1335 49 4096 True 7,964 ± 2,255 / 1,299 ± 433 3.52 3.40 4.06 3.10 30.63 ± 2.60 / 20.55 ± 1.52 22.35 ± 2.26 / 44.97 ± 2.66 1.95 ± 1.48 / 46.94 ± 1.55 37.30 ± 0.69 / 43.95 ± 1.09 36.99 ± 2.08 / 28.69 ± 2.20 37.27 ± 1.09 / 27.84 ± 2.23 19.55 ± 3.00 / 40.67 ± 3.28 1.95 ± 1.15 / 43.75 ± 3.47 2.31 ± 0.84 / 46.79 ± 2.89 7.33 ± 1.88 / 19.74 ± 2.82 33.80 ± 1.96 / 21.70 ± 3.21 58.78 ± 1.36 / 60.51 ± 1.88 0.72 ± 1.17 / 45.33 ± 3.14 35.45 ± 1.87 / 42.40 ± 2.14 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0
state-spaces/mamba-2.8b-hf (few-shot) 2768 50 32769 True 2,722 ± 495 / 766 ± 250 3.53 3.71 3.93 2.96 17.58 ± 1.95 / 15.48 ± 1.39 10.47 ± 3.28 / 19.91 ± 2.67 1.23 ± 1.53 / 36.92 ± 3.53 42.56 ± 1.07 / 49.37 ± 1.19 26.90 ± 1.65 / 24.65 ± 2.00 34.59 ± 3.22 / 33.15 ± 3.49 31.06 ± 2.28 / 45.42 ± 3.29 0.21 ± 1.21 / 36.38 ± 2.87 -0.17 ± 2.08 / 40.22 ± 3.88 10.35 ± 0.92 / 22.83 ± 1.06 23.25 ± 1.99 / 20.55 ± 2.20 71.70 ± 1.09 / 71.01 ± 2.36 -0.82 ± 2.23 / 40.80 ± 4.30 40.48 ± 1.52 / 46.93 ± 1.61 13.0.0 13.0.0 13.0.0 13.0.0 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
NbAiLab/nb-llama-3.1-8B-Instruct (few-shot) 8030 128 131072 True 1,296 ± 335 / 246 ± 84 3.54 3.33 4.14 3.15 21.87 ± 4.65 / 18.10 ± 3.46 24.82 ± 6.87 / 35.81 ± 5.98 2.89 ± 2.02 / 41.50 ± 4.74 44.86 ± 1.12 / 52.94 ± 1.18 31.65 ± 4.34 / 29.36 ± 4.02 31.54 ± 4.82 / 29.54 ± 3.81 10.64 ± 5.92 / 21.52 ± 5.77 1.81 ± 1.27 / 35.34 ± 1.90 1.72 ± 1.20 / 33.81 ± 0.41 16.32 ± 7.40 / 32.61 ± 10.34 32.54 ± 4.81 / 26.20 ± 4.00 43.55 ± 16.01 / 46.98 ± 12.54 1.93 ± 1.31 / 42.44 ± 4.14 44.80 ± 1.75 / 51.57 ± 1.61 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 3.54 3.75 3.71 3.17 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 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
sentence-transformers/distiluse-base-multilingual-cased 135 120 512 True 19,206 ± 4,451 / 3,658 ± 1,187 3.54 3.75 3.71 3.17 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 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
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 3.56 3.41 4.07 3.21 18.00 ± 2.52 / 14.88 ± 1.68 26.58 ± 2.81 / 45.88 ± 3.40 0.63 ± 1.48 / 33.42 ± 0.28 41.66 ± 1.48 / 49.40 ± 1.53 26.99 ± 3.92 / 24.61 ± 2.74 25.74 ± 3.76 / 24.51 ± 2.96 19.85 ± 1.97 / 35.75 ± 1.74 1.96 ± 1.33 / 44.22 ± 2.93 -0.01 ± 1.39 / 39.57 ± 2.97 16.33 ± 2.17 / 31.16 ± 3.40 20.94 ± 3.73 / 18.26 ± 2.84 52.54 ± 3.33 / 60.44 ± 3.13 0.34 ± 1.22 / 36.61 ± 1.57 43.55 ± 1.14 / 50.53 ± 1.40 12.5.2 11.0.0 12.1.0 12.5.0 12.5.2 12.5.2 11.0.0 12.1.0 12.1.0 12.5.0 12.5.2 11.0.0 12.1.0 12.5.0
PleIAs/Pleias-1.2b-Preview (few-shot) 1195 66 2048 True 10,756 ± 3,589 / 1,157 ± 670 3.59 3.39 4.10 3.29 28.30 ± 2.45 / 22.93 ± 1.82 28.95 ± 4.05 / 48.32 ± 5.01 0.20 ± 0.52 / 34.12 ± 1.62 36.39 ± 0.84 / 43.32 ± 0.77 38.96 ± 2.67 / 36.82 ± 3.28 40.42 ± 2.43 / 38.81 ± 2.83 19.42 ± 3.09 / 26.64 ± 4.19 -0.13 ± 0.55 / 33.43 ± 0.23 0.77 ± 1.22 / 33.80 ± 0.25 4.70 ± 1.89 / 8.66 ± 3.16 36.29 ± 4.00 / 31.64 ± 3.95 39.68 ± 11.06 / 47.78 ± 9.30 0.96 ± 1.25 / 36.56 ± 2.57 32.64 ± 1.84 / 38.42 ± 1.95 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2051 True 5,484 ± 1,125 / 1,317 ± 425 3.59 3.60 4.30 2.88 7.52 ± 3.92 / 6.60 ± 2.84 18.30 ± 3.89 / 27.62 ± 5.78 3.23 ± 1.94 / 45.74 ± 3.06 46.35 ± 1.42 / 51.37 ± 1.43 9.06 ± 6.86 / 8.39 ± 6.41 17.16 ± 6.21 / 16.00 ± 5.94 25.52 ± 3.72 / 41.44 ± 4.44 0.68 ± 1.54 / 45.09 ± 2.63 0.17 ± 2.27 / 42.02 ± 4.30 0.46 ± 0.07 / 6.96 ± 0.13 20.49 ± 7.78 / 19.50 ± 6.82 70.04 ± 2.28 / 60.77 ± 3.00 2.28 ± 1.77 / 36.86 ± 3.97 45.85 ± 1.19 / 51.08 ± 1.21 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
jannesg/bertsson 124 50 512 True 15,314 ± 2,786 / 3,666 ± 1,201 3.60 3.70 4.00 3.10 32.63 ± 1.06 / 32.76 ± 1.02 24.11 ± 1.74 / 44.78 ± 2.78 2.91 ± 1.07 / 46.98 ± 3.78 15.37 ± 1.22 / 22.17 ± 1.24 49.30 ± 0.97 / 46.11 ± 1.04 46.11 ± 2.15 / 43.01 ± 2.05 23.21 ± 2.32 / 44.26 ± 2.95 2.26 ± 1.47 / 45.07 ± 4.04 -0.66 ± 1.81 / 44.50 ± 3.45 0.68 ± 0.32 / 1.50 ± 0.80 51.13 ± 2.13 / 46.67 ± 1.98 61.67 ± 1.40 / 59.12 ± 2.44 2.87 ± 1.53 / 48.92 ± 2.37 17.24 ± 1.13 / 25.10 ± 1.06 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-356m (few-shot) 471 64 2048 True 5,758 ± 1,348 / 1,215 ± 391 3.61 3.54 3.76 3.54 16.13 ± 4.02 / 14.90 ± 3.13 27.61 ± 2.14 / 39.77 ± 1.85 1.96 ± 2.25 / 38.40 ± 2.99 34.79 ± 1.52 / 39.67 ± 1.69 27.37 ± 4.07 / 27.94 ± 4.04 31.22 ± 3.87 / 31.39 ± 3.99 34.21 ± 1.63 / 47.17 ± 2.76 0.92 ± 1.55 / 40.71 ± 2.58 1.25 ± 2.30 / 43.49 ± 3.20 18.52 ± 2.78 / 32.10 ± 4.23 23.77 ± 3.70 / 23.06 ± 3.46 34.29 ± 11.64 / 36.76 ± 7.46 1.57 ± 1.70 / 40.84 ± 1.99 33.70 ± 1.46 / 38.82 ± 1.54 9.3.1 9.3.1 9.3.2 12.5.1 9.3.1 9.3.1 9.3.1 9.3.2 9.3.2 12.5.1 9.3.1 9.3.1 9.3.2 12.5.1
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 3.61 3.49 4.14 3.21 9.83 ± 3.50 / 8.97 ± 2.64 29.03 ± 2.48 / 46.75 ± 3.69 0.56 ± 0.87 / 33.34 ± 0.23 46.43 ± 0.74 / 53.20 ± 0.47 12.10 ± 5.58 / 12.85 ± 4.80 13.42 ± 6.02 / 13.82 ± 5.16 22.82 ± 3.11 / 43.88 ± 3.10 2.70 ± 2.16 / 47.68 ± 3.18 2.21 ± 1.46 / 42.80 ± 4.36 16.31 ± 2.22 / 30.78 ± 3.64 18.01 ± 6.41 / 18.55 ± 4.65 51.91 ± 4.78 / 59.44 ± 4.65 1.49 ± 1.95 / 40.76 ± 4.07 44.83 ± 0.63 / 51.87 ± 0.72 12.5.2 10.0.1 12.1.0 12.1.0 12.5.2 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.5.2 10.0.1 12.1.0 12.1.0
ibm-granite/granite-3.0-1b-a400m-base (few-shot) 1385 49 4096 True 7,808 ± 2,183 / 1,289 ± 428 3.69 3.66 4.15 3.25 16.82 ± 3.53 / 14.28 ± 3.01 17.52 ± 2.86 / 27.96 ± 2.94 1.53 ± 2.06 / 36.59 ± 3.39 40.21 ± 1.57 / 44.65 ± 1.79 31.16 ± 1.45 / 30.20 ± 1.07 29.73 ± 2.46 / 28.89 ± 2.68 17.59 ± 2.80 / 35.34 ± 4.36 1.07 ± 1.90 / 44.05 ± 3.72 1.59 ± 1.56 / 41.39 ± 3.86 6.92 ± 0.87 / 14.48 ± 2.08 23.26 ± 5.42 / 20.21 ± 4.72 55.06 ± 5.28 / 50.38 ± 3.13 1.81 ± 2.14 / 40.07 ± 4.45 35.49 ± 2.28 / 39.42 ± 2.19 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0
PleIAs/Pleias-3b-Preview (few-shot) 3212 66 4096 True 6,513 ± 1,241 / 1,282 ± 644 3.79 3.80 4.10 3.47 15.93 ± 3.91 / 14.68 ± 2.81 13.01 ± 2.33 / 28.28 ± 4.63 0.05 ± 1.37 / 40.73 ± 3.78 36.85 ± 1.28 / 41.96 ± 1.64 28.82 ± 3.76 / 28.03 ± 3.72 27.81 ± 4.34 / 26.00 ± 4.14 18.74 ± 2.86 / 27.39 ± 3.91 -0.46 ± 1.39 / 36.22 ± 3.32 -0.84 ± 1.32 / 37.42 ± 3.48 12.66 ± 1.66 / 21.98 ± 3.16 21.42 ± 6.21 / 20.27 ± 5.32 45.75 ± 7.94 / 50.33 ± 6.88 -0.25 ± 1.25 / 44.95 ± 2.93 32.71 ± 2.02 / 37.44 ± 2.20 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
mhenrichsen/danskgpt-tiny (few-shot) 1100 32 2048 True 8,597 ± 1,983 / 1,926 ± 600 3.80 3.64 4.19 3.58 14.13 ± 3.50 / 12.15 ± 3.14 26.31 ± 5.33 / 44.07 ± 6.36 -0.54 ± 1.46 / 44.56 ± 3.34 32.12 ± 1.62 / 38.99 ± 1.42 27.37 ± 6.89 / 27.19 ± 7.19 27.59 ± 6.34 / 28.03 ± 6.94 18.09 ± 6.14 / 31.83 ± 6.77 -0.19 ± 1.93 / 41.38 ± 3.18 -0.80 ± 0.89 / 40.66 ± 3.78 5.84 ± 1.36 / 16.14 ± 2.48 23.92 ± 6.88 / 22.42 ± 6.73 31.93 ± 14.68 / 43.80 ± 8.79 0.46 ± 1.91 / 43.45 ± 3.64 30.81 ± 2.73 / 35.67 ± 2.95 0.0.0 0.0.0 0.0.0 12.5.1 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
3ebdola/Dialectal-Arabic-XLM-R-Base 278 250 512 True 12,783 ± 2,537 / 2,712 ± 885 3.81 3.83 4.06 3.55 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
alexanderfalk/danbert-small-cased 83 52 512 True 30,013 ± 4,309 / 8,840 ± 2,859 3.81 3.64 4.01 3.78 33.05 ± 1.28 / 31.68 ± 1.05 30.67 ± 1.28 / 51.76 ± 1.28 13.01 ± 5.22 / 55.11 ± 3.40 1.56 ± 0.88 / 5.30 ± 2.21 42.18 ± 1.03 / 39.53 ± 1.04 37.39 ± 1.81 / 34.88 ± 1.76 24.39 ± 1.60 / 40.44 ± 1.78 7.29 ± 2.49 / 49.37 ± 3.58 2.57 ± 1.78 / 46.00 ± 3.32 0.00 ± 0.00 / 0.00 ± 0.00 22.47 ± 1.55 / 20.74 ± 1.42 53.88 ± 1.97 / 52.30 ± 1.04 1.55 ± 1.62 / 44.06 ± 3.56 1.12 ± 0.85 / 3.07 ± 1.91 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
NbAiLab/nb-llama-3.2-1B (few-shot) 1236 128 131072 True 3,424 ± 1,080 / 464 ± 158 3.82 3.74 4.32 3.40 9.20 ± 3.54 / 8.11 ± 3.24 32.94 ± 4.62 / 46.54 ± 5.68 1.59 ± 2.72 / 45.39 ± 3.81 23.10 ± 2.78 / 31.50 ± 3.48 10.60 ± 5.84 / 10.10 ± 5.81 22.63 ± 4.50 / 21.78 ± 4.61 19.76 ± 6.05 / 25.69 ± 5.67 2.80 ± 1.41 / 41.56 ± 3.36 0.17 ± 2.00 / 37.59 ± 2.30 3.99 ± 1.17 / 14.63 ± 2.66 4.49 ± 3.07 / 4.08 ± 2.82 73.13 ± 1.08 / 64.78 ± 3.26 2.50 ± 1.36 / 41.66 ± 3.85 22.14 ± 3.47 / 29.52 ± 4.26 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 3.87 4.06 4.09 3.45 10.12 ± 1.24 / 9.84 ± 1.12 10.65 ± 3.65 / 28.33 ± 5.27 -0.66 ± 1.24 / 33.61 ± 0.26 26.08 ± 3.96 / 28.87 ± 4.21 21.04 ± 2.63 / 20.44 ± 2.47 18.71 ± 2.67 / 19.91 ± 2.89 12.22 ± 1.17 / 23.50 ± 3.03 -1.18 ± 1.40 / 35.70 ± 2.67 0.36 ± 1.28 / 37.66 ± 4.07 26.86 ± 1.65 / 50.11 ± 1.80 22.38 ± 3.00 / 22.09 ± 2.85 31.11 ± 12.17 / 36.84 ± 11.52 0.09 ± 0.67 / 33.42 ± 0.30 44.36 ± 1.34 / 50.14 ± 1.15 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1 12.5.2
PleIAs/Pleias-Nano (few-shot) 1195 66 2048 True 2,519 ± 841 / 323 ± 104 3.88 3.58 4.22 3.83 16.17 ± 3.44 / 14.33 ± 1.92 29.12 ± 4.09 / 49.93 ± 4.45 -0.47 ± 0.62 / 33.18 ± 0.28 34.80 ± 1.08 / 41.23 ± 1.18 27.47 ± 4.87 / 27.10 ± 3.15 23.82 ± 4.37 / 27.33 ± 3.71 22.22 ± 1.30 / 32.60 ± 1.49 -2.06 ± 1.97 / 35.29 ± 1.70 -0.77 ± 1.41 / 35.74 ± 1.76 2.48 ± 1.20 / 5.33 ± 1.94 14.09 ± 5.11 / 15.95 ± 3.72 23.71 ± 6.92 / 32.87 ± 7.00 1.74 ± 1.73 / 38.94 ± 3.25 32.00 ± 1.48 / 37.80 ± 1.63 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 3.89 3.82 4.30 3.54 17.38 ± 2.04 / 15.74 ± 1.99 10.72 ± 3.35 / 25.21 ± 3.80 1.32 ± 1.08 / 42.05 ± 3.69 34.58 ± 0.97 / 40.37 ± 1.02 29.52 ± 1.48 / 29.79 ± 1.62 31.27 ± 1.30 / 31.91 ± 1.31 11.49 ± 1.38 / 27.12 ± 1.98 0.29 ± 1.58 / 40.21 ± 4.22 -0.12 ± 1.48 / 39.92 ± 3.90 7.80 ± 1.19 / 17.09 ± 2.72 18.57 ± 4.62 / 17.69 ± 4.61 40.23 ± 5.86 / 49.01 ± 4.77 0.21 ± 1.06 / 39.60 ± 3.61 29.49 ± 2.47 / 35.01 ± 2.72 12.5.2 11.0.0 12.1.0 12.4.0 12.5.2 12.5.2 11.0.0 12.1.0 12.1.0 12.4.0 12.5.2 11.0.0 12.1.0 12.4.0
dbmdz/bert-tiny-historic-multilingual-cased 5 32 512 True 78,027 ± 15,466 / 17,064 ± 5,335 3.89 3.93 4.13 3.62 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 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
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 3.91 3.88 4.33 3.53 19.01 ± 1.91 / 17.08 ± 1.83 8.88 ± 1.86 / 24.27 ± 2.45 0.66 ± 1.41 / 37.98 ± 4.14 32.78 ± 2.33 / 38.31 ± 2.81 34.46 ± 2.01 / 33.09 ± 2.32 33.41 ± 2.21 / 33.91 ± 2.33 6.31 ± 3.46 / 20.67 ± 2.69 -1.59 ± 1.08 / 36.27 ± 3.71 0.61 ± 1.41 / 38.84 ± 5.10 5.95 ± 1.53 / 16.20 ± 1.93 28.96 ± 2.39 / 26.49 ± 3.14 26.58 ± 5.12 / 28.64 ± 5.35 -1.88 ± 1.46 / 35.45 ± 2.92 34.59 ± 1.06 / 40.95 ± 1.11 12.5.2 10.0.1 12.1.0 12.1.0 12.5.2 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.5.2 10.0.1 12.1.0 12.1.0
tiiuae/Falcon3-1B-Instruct (few-shot) 1669 131 8192 True 9,270 ± 2,690 / 1,434 ± 437 3.92 3.77 4.31 3.68 20.03 ± 1.60 / 17.52 ± 1.50 15.96 ± 2.77 / 38.74 ± 2.88 0.86 ± 1.76 / 42.48 ± 3.82 28.98 ± 1.93 / 35.38 ± 2.10 29.25 ± 2.15 / 28.34 ± 2.25 25.45 ± 1.96 / 24.62 ± 1.86 11.28 ± 0.71 / 22.46 ± 2.54 1.52 ± 1.26 / 40.82 ± 4.08 0.52 ± 1.60 / 41.23 ± 4.21 8.47 ± 0.94 / 20.43 ± 2.10 26.41 ± 2.74 / 25.18 ± 2.46 25.99 ± 3.51 / 35.36 ± 4.53 1.64 ± 1.90 / 37.52 ± 2.69 21.39 ± 1.66 / 26.70 ± 1.83 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2
allenai/OLMo-1B (few-shot) 1177 50 2051 True 8,536 ± 1,926 / 1,940 ± 619 3.96 3.89 4.40 3.59 13.39 ± 2.60 / 12.39 ± 2.46 17.94 ± 5.58 / 32.80 ± 3.63 -2.02 ± 2.28 / 40.63 ± 4.12 23.65 ± 2.96 / 26.24 ± 3.20 30.79 ± 1.95 / 32.18 ± 1.98 31.12 ± 2.36 / 33.10 ± 2.68 9.95 ± 3.92 / 29.01 ± 2.80 -0.95 ± 1.87 / 39.37 ± 3.33 -0.04 ± 1.73 / 42.36 ± 4.61 0.00 ± 0.00 / 3.06 ± 0.05 29.39 ± 3.08 / 29.93 ± 3.14 38.95 ± 11.78 / 43.61 ± 8.46 -1.35 ± 1.76 / 40.70 ± 4.25 17.85 ± 3.77 / 20.30 ± 4.04 12.5.2 12.1.0 12.1.0 12.1.0 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
RabotaRu/HRBert-mini 80 200 512 True 54,951 ± 11,500 / 11,401 ± 3,819 4.05 4.07 4.31 3.76 22.21 ± 0.75 / 21.70 ± 0.70 20.33 ± 1.89 / 40.95 ± 2.78 0.90 ± 1.40 / 48.85 ± 2.60 2.73 ± 0.64 / 7.23 ± 1.45 31.87 ± 2.26 / 30.31 ± 2.14 32.47 ± 1.48 / 30.59 ± 1.43 15.07 ± 1.97 / 35.80 ± 1.15 1.26 ± 1.26 / 48.42 ± 1.75 0.49 ± 1.58 / 45.93 ± 3.88 0.00 ± 0.00 / 0.00 ± 0.00 24.61 ± 1.58 / 23.05 ± 1.43 52.31 ± 1.22 / 51.51 ± 0.49 1.32 ± 1.87 / 46.80 ± 4.29 2.86 ± 0.73 / 8.44 ± 2.01 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
fresh-xlm-roberta-base 278 250 512 True 2,214 ± 94 / 1,494 ± 229 4.17 4.23 4.37 3.92 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 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) 186 64 2048 True 7,717 ± 1,553 / 2,013 ± 625 4.18 4.15 4.35 4.05 13.98 ± 1.54 / 13.46 ± 1.42 6.37 ± 3.38 / 25.43 ± 4.09 0.41 ± 0.80 / 33.31 ± 0.24 20.46 ± 2.90 / 24.27 ± 3.23 27.66 ± 2.00 / 28.61 ± 2.15 30.88 ± 2.13 / 31.97 ± 2.10 5.13 ± 3.33 / 20.41 ± 3.12 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 7.55 ± 1.17 / 15.63 ± 2.64 23.05 ± 2.31 / 24.35 ± 1.99 12.47 ± 7.10 / 23.03 ± 8.78 0.08 ± 0.16 / 33.34 ± 0.30 20.43 ± 2.69 / 24.25 ± 2.67 11.0.0 9.3.2 11.0.0 12.4.0 11.0.0 11.0.0 9.3.2 11.0.0 11.0.0 12.4.0 9.3.2 9.3.2 11.0.0 12.4.0
HuggingFaceTB/SmolLM2-360M (few-shot) 362 49 8192 True 22,023 ± 6,203 / 3,675 ± 1,231 4.19 4.12 4.46 3.98 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 13.1.0 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 4.19 4.04 4.49 4.05 13.84 ± 1.95 / 13.12 ± 1.60 9.47 ± 3.30 / 25.66 ± 3.36 -0.36 ± 1.60 / 39.52 ± 3.19 22.10 ± 2.03 / 26.85 ± 2.16 26.59 ± 2.14 / 26.61 ± 2.49 26.78 ± 1.46 / 26.94 ± 1.92 7.91 ± 2.20 / 17.44 ± 3.42 0.28 ± 1.08 / 36.00 ± 3.05 0.04 ± 1.65 / 41.17 ± 5.30 0.65 ± 0.40 / 2.88 ± 1.01 22.09 ± 2.91 / 21.86 ± 2.85 14.15 ± 7.21 / 25.90 ± 4.05 -0.04 ± 1.25 / 36.18 ± 3.31 21.60 ± 1.52 / 26.25 ± 1.48 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
NbAiLab/nb-gpt-j-6B-v2 (few-shot) 6051 50 1024 False 2,556 ± 580 / 681 ± 214 4.21 4.15 4.41 4.06 0.24 ± 0.25 / 0.25 ± 0.21 27.80 ± 6.39 / 43.80 ± 5.16 0.56 ± 0.51 / 34.04 ± 1.28 6.84 ± 6.83 / 21.33 ± 6.27 5.29 ± 4.68 / 4.93 ± 4.38 6.77 ± 6.18 / 6.78 ± 5.66 20.84 ± 6.06 / 35.78 ± 5.94 0.45 ± 1.09 / 34.65 ± 1.93 0.48 ± 0.66 / 32.86 ± 0.34 2.43 ± 0.61 / 22.78 ± 2.29 0.31 ± 0.55 / 0.29 ± 0.50 27.42 ± 12.16 / 38.74 ± 10.05 0.07 ± 1.06 / 35.80 ± 1.73 17.82 ± 11.21 / 31.12 ± 8.39 9.3.1 10.0.1 11.0.0 12.5.1 9.3.1 9.3.1 10.0.1 11.0.0 11.0.0 12.5.1 9.3.1 10.0.1 11.0.0 12.5.1
fresh-electra-small 14 31 512 True 7,840 ± 1,538 / 3,024 ± 438 4.21 4.28 4.42 3.94 12.87 ± 1.63 / 13.23 ± 1.55 18.61 ± 4.17 / 35.23 ± 3.90 0.30 ± 1.39 / 37.84 ± 3.88 0.00 ± 0.00 / 0.00 ± 0.00 18.38 ± 2.01 / 17.08 ± 1.97 12.76 ± 1.29 / 11.65 ± 1.21 15.29 ± 5.37 / 34.15 ± 4.23 0.17 ± 0.84 / 36.29 ± 2.91 0.37 ± 0.69 / 35.08 ± 2.81 0.00 ± 0.00 / 0.00 ± 0.00 10.54 ± 1.12 / 9.71 ± 1.00 55.54 ± 2.75 / 52.75 ± 1.09 -0.15 ± 0.52 / 35.33 ± 3.00 0.02 ± 0.03 / 0.04 ± 0.05 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
PleIAs/Pleias-Pico (few-shot) 353 66 2048 True 2,331 ± 787 / 301 ± 97 4.23 4.15 4.52 4.01 10.59 ± 2.24 / 10.29 ± 1.37 13.31 ± 3.23 / 34.38 ± 3.13 0.52 ± 0.78 / 33.76 ± 0.37 16.61 ± 2.60 / 20.46 ± 2.96 25.02 ± 2.09 / 25.54 ± 2.29 21.59 ± 3.84 / 21.51 ± 4.17 8.05 ± 2.35 / 22.59 ± 2.42 -0.15 ± 1.40 / 36.65 ± 4.39 -0.97 ± 1.78 / 39.00 ± 3.45 0.37 ± 0.29 / 2.47 ± 0.84 16.28 ± 4.73 / 16.34 ± 4.84 17.38 ± 10.26 / 34.60 ± 5.85 -0.45 ± 0.67 / 36.19 ± 2.92 17.78 ± 2.45 / 22.13 ± 2.29 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) 362 49 8192 True 21,777 ± 6,115 / 3,617 ± 1,211 4.24 4.21 4.47 4.04 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 13.1.0 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
NbAiLab/nb-llama-3.2-3B (few-shot) 3213 128 131072 True 1,880 ± 556 / 280 ± 95 4.27 4.57 4.51 3.73 0.06 ± 0.08 / 0.10 ± 0.10 8.71 ± 4.41 / 18.01 ± 2.90 2.90 ± 2.59 / 34.74 ± 1.30 1.40 ± 1.36 / 9.63 ± 1.32 2.73 ± 3.17 / 2.88 ± 3.11 0.26 ± 0.13 / 0.32 ± 0.24 15.10 ± 3.49 / 25.71 ± 3.00 13.58 ± 3.65 / 44.75 ± 5.83 7.78 ± 4.19 / 42.13 ± 6.04 0.15 ± 0.11 / 16.40 ± 2.06 1.37 ± 0.87 / 1.26 ± 0.79 72.06 ± 1.49 / 60.27 ± 1.73 8.44 ± 3.82 / 40.95 ± 5.88 0.45 ± 0.33 / 8.27 ± 1.38 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.1.2 14.1.2 14.1.2 14.0.4 14.0.4 14.1.2 14.1.2 14.0.4
NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) 7537 68 4096 True 3,024 ± 496 / 909 ± 301 4.31 4.25 4.55 4.12 12.82 ± 2.64 / 12.37 ± 1.95 3.55 ± 3.64 / 22.75 ± 4.02 0.68 ± 1.41 / 35.13 ± 0.98 19.85 ± 1.75 / 24.31 ± 1.88 12.77 ± 3.48 / 14.13 ± 3.09 10.51 ± 3.44 / 9.95 ± 3.51 8.70 ± 4.43 / 25.39 ± 3.30 0.00 ± 1.60 / 38.54 ± 3.41 0.82 ± 1.39 / 37.77 ± 4.45 1.85 ± 0.82 / 10.19 ± 1.99 9.75 ± 3.30 / 9.18 ± 3.19 17.76 ± 4.89 / 28.16 ± 7.50 1.22 ± 0.95 / 43.54 ± 3.79 14.98 ± 2.49 / 18.46 ± 2.99 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) 135 49 8192 True 25,602 ± 7,583 / 3,953 ± 1,325 4.38 4.33 4.61 4.19 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 13.1.0 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 (few-shot) 135 49 8192 True 26,346 ± 7,812 / 4,082 ± 1,372 4.39 4.30 4.46 4.40 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 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
AI-Sweden-Models/gpt-sw3-126m (few-shot) 186 64 2048 True 8,958 ± 1,815 / 2,240 ± 696 4.40 4.25 4.64 4.32 3.43 ± 2.66 / 5.56 ± 1.90 9.18 ± 4.25 / 26.36 ± 3.94 -0.22 ± 1.53 / 34.20 ± 0.84 16.64 ± 3.32 / 19.46 ± 3.63 13.55 ± 6.73 / 15.90 ± 5.66 9.38 ± 4.88 / 11.18 ± 4.52 7.78 ± 3.76 / 21.70 ± 5.02 -1.46 ± 1.07 / 43.30 ± 2.30 -2.97 ± 1.29 / 44.41 ± 3.18 2.32 ± 0.68 / 6.65 ± 1.90 5.66 ± 4.11 / 8.37 ± 3.24 8.15 ± 8.87 / 24.31 ± 7.12 -0.81 ± 1.16 / 36.81 ± 2.47 16.40 ± 2.88 / 19.18 ± 3.18 9.2.0 9.2.0 9.2.0 12.5.1 9.2.0 9.2.0 9.2.0 9.2.0 9.2.0 12.5.1 9.2.0 9.2.0 9.2.0 12.5.1
NbAiLab/nb-gpt-j-6B@sharded (few-shot) unknown 50 1024 True 2,630 ± 605 / 684 ± 217 4.41 4.43 4.53 4.26 0.36 ± 0.40 / 1.82 ± 1.16 11.00 ± 7.09 / 26.09 ± 6.96 -0.11 ± 1.16 / 33.76 ± 0.86 5.15 ± 6.60 / 17.35 ± 5.86 0.22 ± 0.21 / 1.66 ± 1.38 0.24 ± 0.40 / 1.43 ± 1.97 20.64 ± 5.63 / 36.75 ± 3.29 -0.99 ± 0.88 / 33.37 ± 0.27 -0.15 ± 0.72 / 32.83 ± 0.34 0.53 ± 0.31 / 22.14 ± 2.25 0.01 ± 0.02 / 0.11 ± 0.12 33.50 ± 13.13 / 39.30 ± 11.93 -0.02 ± 0.60 / 34.92 ± 2.99 4.79 ± 3.55 / 18.06 ± 2.80 9.3.1 10.0.1 10.0.1 12.5.1 9.3.1 9.3.1 10.0.1 10.0.1 10.0.1 12.5.1 9.3.1 10.0.1 10.0.1 12.5.1
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.61 4.57 4.90 4.35 0.00 ± 0.00 / 0.00 ± 0.00 13.00 ± 4.17 / 24.41 ± 3.12 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 12.39 ± 1.52 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.95 ± 0.80 / 9.68 ± 0.28 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 33.45 ± 0.27 0.00 ± 0.00 / 0.00 ± 0.00 34.63 ± 9.69 / 40.92 ± 6.88 0.00 ± 0.00 / 33.30 ± 0.27 0.00 ± 0.00 / 8.92 ± 2.90 9.3.1 9.3.1 9.3.1 12.5.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.5.1 9.3.1 9.3.1 9.3.1 12.5.1
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 512 True 1,373 ± 120 / 709 ± 172 4.66 4.72 4.90 4.35 0.00 ± 0.00 / 0.00 ± 0.00 4.81 ± 2.69 / 19.31 ± 1.01 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 30.05 ± 4.99 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 1.27 ± 1.21 / 9.77 ± 0.51 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 32.25 ± 0.29 0.00 ± 0.00 / 0.00 ± 0.00 28.62 ± 12.67 / 35.36 ± 8.35 0.00 ± 0.00 / 33.30 ± 0.27 0.00 ± 0.00 / 19.59 ± 6.84 10.0.1 10.0.1 10.0.1 10.0.1 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
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 4.74 4.68 4.84 4.71 0.65 ± 0.68 / 0.59 ± 0.63 2.61 ± 2.75 / 20.51 ± 2.48 -0.73 ± 1.72 / 41.15 ± 3.71 1.99 ± 1.69 / 2.68 ± 1.87 0.08 ± 0.16 / 0.07 ± 0.14 0.00 ± 0.00 / 0.00 ± 0.00 4.76 ± 1.84 / 16.95 ± 5.07 0.67 ± 1.94 / 40.42 ± 4.43 -0.88 ± 1.89 / 40.70 ± 4.30 0.00 ± 0.00 / 0.74 ± 0.05 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 19.32 ± 0.16 0.49 ± 1.29 / 39.12 ± 3.92 6.24 ± 3.13 / 7.85 ± 3.67 9.3.1 10.0.1 11.0.0 12.5.1 9.3.1 9.3.1 10.0.1 11.0.0 11.0.0 12.5.1 9.3.1 10.0.1 11.0.0 12.5.1
NorGLM/NorGPT-369M (few-shot) unknown 64 1024 True 19,896 ± 5,099 / 3,848 ± 1,251 4.75 4.70 4.80 4.76 1.13 ± 1.19 / 0.97 ± 1.03 2.06 ± 2.30 / 20.38 ± 2.71 -0.36 ± 0.97 / 41.52 ± 4.00 0.32 ± 0.12 / 4.20 ± 0.61 3.14 ± 2.12 / 2.91 ± 2.02 3.00 ± 1.58 / 2.65 ± 1.41 3.41 ± 2.11 / 14.87 ± 2.38 0.22 ± 0.42 / 33.42 ± 0.29 0.27 ± 0.79 / 38.20 ± 3.48 0.00 ± 0.00 / 2.27 ± 0.89 1.47 ± 1.90 / 1.32 ± 1.69 5.50 ± 4.49 / 28.77 ± 3.76 -2.19 ± 1.29 / 40.52 ± 3.02 0.10 ± 0.06 / 4.36 ± 0.44 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
peter-sk/gpt-neox-da (few-shot) 1515 50 1024 True 6,025 ± 1,442 / 1,342 ± 431 4.82 4.78 4.93 4.74 0.64 ± 0.89 / 0.52 ± 0.69 -0.52 ± 1.72 / 28.55 ± 1.60 -0.02 ± 1.55 / 36.82 ± 2.52 0.48 ± 0.27 / 2.89 ± 0.53 0.29 ± 0.29 / 0.29 ± 0.27 0.25 ± 0.17 / 0.27 ± 0.21 -1.43 ± 1.45 / 20.90 ± 4.96 -0.42 ± 1.10 / 35.77 ± 3.09 1.11 ± 2.21 / 39.28 ± 4.12 0.00 ± 0.00 / 3.15 ± 0.55 0.26 ± 0.16 / 0.26 ± 0.14 4.75 ± 2.54 / 27.85 ± 1.59 -0.60 ± 1.56 / 40.53 ± 2.93 0.06 ± 0.09 / 1.07 ± 0.35 10.0.1 10.0.1 10.0.1 10.0.1 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
Sigurdur/qa-icebreaker (few-shot) 110 32 1024 False 44,889 ± 6,944 / 13,506 ± 4,256 4.84 4.80 4.90 4.82 0.00 ± 0.00 / 0.00 ± 0.00 0.07 ± 0.70 / 27.86 ± 0.36 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 0.08 ± 0.02 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 1.00 ± 1.27 / 13.84 ± 2.10 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 0.53 ± 0.06 0.00 ± 0.00 / 0.00 ± 0.00 -0.10 ± 1.04 / 22.69 ± 0.52 0.00 ± 0.00 / 33.30 ± 0.27 0.00 ± 0.00 / 0.02 ± 0.01 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
ssmits/Falcon2-5.5B-multilingual (few-shot) 5465 65 8192 True 7,692 ± 1,423 / 1,960 ± 644 4.84 4.79 4.92 4.82 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 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
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 4.86 4.80 4.92 4.87 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 18.12 ± 0.19 0.00 ± 0.00 / 33.25 ± 0.23 0.00 ± 0.00 / 0.04 ± 0.01 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 / 0.47 ± 0.03 0.00 ± 0.00 / 0.00 ± 0.00 -3.60 ± 3.63 / 20.29 ± 1.99 0.00 ± 0.00 / 33.30 ± 0.27 0.00 ± 0.00 / 0.05 ± 0.03 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
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