Mainland Scandinavian NLG 🇩🇰🇳🇴🇸🇪

Last updated: 06/12/2024 09:26:39 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank Danish Rank Norwegian Rank Swedish Rank DANSK Angry Tweets ScaLA-da ScandiQA-da Nordjylland-News Danske Talemaader Danish Citizen Tests HellaSwag-da NorNE-nb NorNE-nn NoReC No Sammendrag ScaLA-nb ScaLA-nn NorQuAD MMLU-no HellaSwag-no SUC3 SweReC ScaLA-sv ScandiQA-sv SweDN MMLU-sv HellaSwag-sv DANSK version Angry Tweets version ScaLA-da version ScandiQA-da version Nordjylland-News version Danske Talemaader version Danish Citizen Tests version HellaSwag-da version NorNE-nb version NorNE-nn version NoReC version No Sammendrag version ScaLA-nb version ScaLA-nn version NorQuAD version MMLU-no version HellaSwag-no version SUC3 version SweReC version ScaLA-sv version ScandiQA-sv version SweDN version MMLU-sv version HellaSwag-sv version
gpt-4-0613 (few-shot, val) unknown 100 8192 True 597 ± 197 / 93 ± 33 1.14 1.16 1.17 1.10 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 66.76 ± 0.34 / 18.99 ± 0.52 94.93 ± 1.03 / 96.21 ± 0.77 93.98 ± 2.15 / 95.94 ± 1.44 81.64 ± 1.80 / 86.17 ± 1.34 81.16 ± 2.46 / 63.39 ± 4.07 75.75 ± 4.49 / 60.44 ± 5.46 72.72 ± 3.20 / 81.35 ± 2.22 65.92 ± 0.28 / 19.24 ± 0.59 77.30 ± 2.97 / 88.39 ± 1.60 57.18 ± 3.91 / 76.40 ± 2.66 47.50 ± 2.86 / 75.24 ± 1.32 68.77 ± 2.09 / 76.56 ± 1.57 88.30 ± 1.32 / 91.13 ± 0.98 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 67.83 ± 0.15 / 22.67 ± 0.39 72.53 ± 1.82 / 79.26 ± 1.44 85.67 ± 2.59 / 89.14 ± 2.05 0.0.0 0.0.0 0.0.0 12.9.0 12.6.1 10.0.1 10.0.1 9.1.2 0.0.0 0.0.0 0.0.0 9.3.2 0.0.0 0.0.0 12.9.0 9.3.2 9.3.2 0.0.0 0.0.0 0.0.0 12.9.0 9.3.2 9.3.2 9.3.2
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.25 1.21 1.33 1.20 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 66.21 ± 0.44 / 18.02 ± 0.61 95.21 ± 0.55 / 96.41 ± 0.41 97.19 ± 1.15 / 98.12 ± 0.76 78.74 ± 3.12 / 83.91 ± 2.42 77.48 ± 2.32 / 55.87 ± 2.83 78.70 ± 2.78 / 57.58 ± 4.23 62.55 ± 2.82 / 72.41 ± 2.42 63.60 ± 0.15 / 13.15 ± 0.35 74.45 ± 4.27 / 86.22 ± 2.49 56.31 ± 5.81 / 74.04 ± 4.03 44.67 ± 3.23 / 73.39 ± 1.83 70.84 ± 1.92 / 78.12 ± 1.44 86.30 ± 2.04 / 89.53 ± 1.60 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 66.08 ± 0.14 / 17.19 ± 0.38 71.32 ± 1.56 / 78.48 ± 1.15 84.09 ± 2.99 / 88.01 ± 2.26 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.0 12.10.2 12.10.2 12.10.0 12.10.2 12.10.2 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2
gpt-4o-2024-05-13 (few-shot, val) unknown 200 128000 True 916 ± 329 / 114 ± 38 1.25 1.25 1.30 1.19 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 66.03 ± 0.24 / 17.74 ± 0.71 96.41 ± 0.63 / 97.30 ± 0.48 97.68 ± 1.06 / 98.44 ± 0.72 85.96 ± 1.48 / 89.41 ± 1.15 79.07 ± 3.01 / 64.17 ± 3.51 81.56 ± 2.45 / 64.06 ± 4.11 66.66 ± 1.91 / 77.70 ± 1.29 63.25 ± 0.26 / 13.02 ± 0.33 64.53 ± 6.09 / 79.17 ± 4.89 54.70 ± 4.36 / 74.94 ± 3.26 43.51 ± 3.40 / 74.52 ± 1.79 73.81 ± 1.88 / 80.39 ± 1.45 89.91 ± 1.13 / 92.42 ± 0.83 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 66.00 ± 0.29 / 16.97 ± 0.45 70.70 ± 1.32 / 77.97 ± 0.99 86.30 ± 2.23 / 89.65 ± 1.68 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.0 12.10.2 12.10.2 12.10.0 12.10.2 12.10.2 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2
meta-llama/Meta-Llama-3-70B (few-shot, val) 70554 128 8192 True 312 ± 55 / 177 ± 51 1.45 1.49 1.45 1.41 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 67.33 ± 1.41 / 22.84 ± 1.49 83.94 ± 1.20 / 87.93 ± 0.88 78.83 ± 3.17 / 85.39 ± 2.14 60.69 ± 4.11 / 69.38 ± 3.63 75.31 ± 3.84 / 64.90 ± 4.05 75.94 ± 4.62 / 62.81 ± 5.25 66.74 ± 4.50 / 74.89 ± 3.69 65.78 ± 1.11 / 20.46 ± 1.79 59.82 ± 3.52 / 79.17 ± 2.10 47.56 ± 3.52 / 71.91 ± 1.79 60.87 ± 4.82 / 82.30 ± 2.52 62.45 ± 1.70 / 71.60 ± 1.37 65.29 ± 3.59 / 72.50 ± 3.24 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 67.60 ± 0.41 / 22.47 ± 0.82 61.55 ± 1.68 / 71.02 ± 1.21 66.21 ± 3.22 / 73.40 ± 2.77 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 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
google/gemma-2-27b-it (few-shot) 27227 256 8193 True 1,516 ± 257 / 480 ± 148 1.56 1.46 1.64 1.58 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 68.12 ± 1.10 / 23.96 ± 1.22 85.20 ± 0.83 / 88.80 ± 0.65 84.02 ± 1.63 / 89.32 ± 1.09 71.26 ± 1.64 / 78.17 ± 1.28 67.35 ± 2.33 / 56.75 ± 3.04 66.61 ± 1.81 / 57.24 ± 4.35 67.14 ± 1.22 / 78.63 ± 0.96 66.24 ± 0.95 / 20.99 ± 0.81 64.66 ± 1.38 / 81.94 ± 0.79 52.49 ± 2.01 / 75.95 ± 1.15 44.85 ± 2.17 / 73.41 ± 1.61 58.34 ± 1.14 / 68.54 ± 0.88 70.87 ± 2.22 / 77.92 ± 1.72 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 65.54 ± 0.91 / 19.89 ± 0.36 58.15 ± 1.11 / 68.33 ± 0.83 68.94 ± 1.51 / 76.41 ± 1.17 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
google/gemma-2-9b-it (few-shot) 9242 256 8193 True 2,062 ± 397 / 589 ± 178 1.76 1.67 1.86 1.75 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 67.67 ± 1.05 / 23.18 ± 1.13 80.62 ± 0.77 / 85.41 ± 0.58 75.37 ± 2.23 / 83.59 ± 1.49 66.17 ± 1.45 / 74.39 ± 1.13 61.82 ± 2.72 / 44.91 ± 3.62 60.41 ± 2.62 / 46.29 ± 3.79 61.06 ± 1.21 / 73.45 ± 0.94 65.94 ± 0.37 / 19.22 ± 0.79 62.46 ± 1.49 / 81.11 ± 0.72 52.99 ± 1.89 / 76.14 ± 1.20 39.10 ± 1.50 / 70.14 ± 1.53 49.45 ± 0.93 / 61.63 ± 0.72 67.96 ± 1.93 / 75.79 ± 1.47 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 66.30 ± 0.12 / 19.72 ± 0.19 51.58 ± 0.83 / 63.27 ± 0.62 66.61 ± 1.12 / 74.72 ± 0.93 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 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-3-70B-Instruct (few-shot, val) 70554 128 8192 True 1,673 ± 583 / 275 ± 85 1.78 1.68 1.83 1.83 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 67.76 ± 0.99 / 23.19 ± 0.71 85.18 ± 1.92 / 88.91 ± 1.44 79.22 ± 2.40 / 85.70 ± 1.72 70.19 ± 2.71 / 77.54 ± 2.05 80.50 ± 2.85 / 76.71 ± 2.48 76.47 ± 3.13 / 73.94 ± 2.95 59.29 ± 5.92 / 69.99 ± 4.80 65.70 ± 0.63 / 19.36 ± 0.99 47.28 ± 3.57 / 69.23 ± 3.04 32.76 ± 3.80 / 60.66 ± 3.10 39.71 ± 2.59 / 71.60 ± 1.57 63.58 ± 1.91 / 72.58 ± 1.42 63.41 ± 2.52 / 71.91 ± 1.89 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 68.25 ± 0.18 / 22.84 ± 0.44 61.31 ± 2.07 / 70.78 ± 1.60 66.73 ± 2.34 / 74.65 ± 1.78 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 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-3.5-turbo-0613 (few-shot, val) unknown 100 4094 True 921 ± 293 / 113 ± 37 1.82 1.60 2.00 1.86 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 66.38 ± 0.26 / 18.03 ± 0.27 81.95 ± 2.61 / 86.33 ± 2.03 77.66 ± 2.57 / 85.08 ± 1.77 62.21 ± 2.60 / 71.05 ± 2.09 77.70 ± 2.64 / 68.71 ± 2.97 73.92 ± 2.53 / 67.96 ± 2.67 58.88 ± 3.23 / 71.00 ± 2.87 64.18 ± 0.22 / 14.10 ± 0.37 54.29 ± 4.27 / 73.02 ± 3.26 32.82 ± 3.43 / 56.05 ± 4.14 45.35 ± 2.97 / 73.47 ± 1.69 40.26 ± 5.24 / 54.88 ± 3.85 59.02 ± 1.63 / 68.63 ± 1.34 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 66.92 ± 0.16 / 19.00 ± 0.28 40.73 ± 3.36 / 55.16 ± 2.75 50.51 ± 2.33 / 62.07 ± 1.95 12.9.0 12.9.0 12.9.0 12.9.0 12.6.1 10.0.1 10.0.1 12.9.0 0.0.0 0.0.0 0.0.0 11.0.0 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 11.0.0 0.0.0 0.0.0
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32764 True 2,126 ± 676 / 319 ± 104 1.91 1.81 2.13 1.79 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 66.80 ± 1.09 / 20.36 ± 1.51 83.94 ± 1.81 / 87.97 ± 1.38 73.32 ± 4.97 / 81.64 ± 3.48 60.52 ± 3.33 / 70.08 ± 2.52 66.75 ± 2.07 / 58.61 ± 3.33 66.81 ± 2.57 / 57.71 ± 3.04 60.58 ± 4.96 / 70.33 ± 4.12 64.64 ± 0.63 / 16.59 ± 1.15 47.53 ± 4.07 / 72.24 ± 2.31 17.14 ± 4.72 / 51.14 ± 4.36 41.92 ± 3.36 / 72.51 ± 1.91 51.01 ± 2.61 / 63.20 ± 1.96 58.23 ± 5.79 / 67.46 ± 4.92 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 67.60 ± 0.30 / 21.60 ± 0.76 53.56 ± 2.20 / 64.88 ± 1.66 59.70 ± 4.69 / 69.38 ± 3.70 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 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
meta-llama/Llama-2-70b-hf (few-shot, val) 68977 32 4096 True 1,892 ± 650 / 318 ± 105 1.96 1.75 2.27 1.86 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 67.39 ± 1.23 / 23.85 ± 1.20 84.43 ± 1.72 / 88.28 ± 1.24 71.35 ± 2.55 / 80.47 ± 1.72 54.31 ± 2.56 / 65.20 ± 2.09 62.46 ± 4.62 / 60.77 ± 4.36 64.68 ± 3.04 / 61.69 ± 2.31 59.68 ± 3.30 / 70.62 ± 3.08 66.09 ± 1.05 / 21.12 ± 1.52 27.34 ± 12.20 / 50.42 ± 9.24 3.95 ± 4.66 / 36.08 ± 3.27 57.44 ± 4.59 / 78.69 ± 3.09 43.88 ± 3.11 / 57.62 ± 2.27 53.85 ± 3.43 / 64.34 ± 2.65 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 68.43 ± 0.33 / 24.92 ± 0.74 46.16 ± 2.67 / 59.53 ± 2.04 50.41 ± 5.18 / 62.34 ± 3.86 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 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
google/gemma-2-9b (few-shot) 9242 256 8193 True 2,038 ± 406 / 566 ± 172 2.01 2.05 2.05 1.93 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 67.46 ± 1.14 / 24.10 ± 1.14 81.68 ± 0.62 / 86.22 ± 0.47 77.77 ± 1.30 / 85.06 ± 0.86 50.04 ± 3.99 / 61.09 ± 3.31 54.08 ± 2.08 / 34.62 ± 1.80 54.33 ± 3.02 / 37.70 ± 2.97 62.54 ± 1.17 / 75.53 ± 0.73 65.67 ± 0.85 / 20.11 ± 0.92 50.88 ± 2.84 / 74.69 ± 1.56 41.01 ± 1.91 / 69.35 ± 1.67 46.25 ± 3.89 / 72.99 ± 3.16 50.81 ± 1.18 / 62.98 ± 0.88 53.37 ± 3.87 / 63.52 ± 3.49 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 65.63 ± 0.26 / 19.75 ± 0.45 52.06 ± 0.97 / 63.92 ± 0.72 49.80 ± 3.86 / 60.88 ± 3.42 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
gpt-4o-mini-2024-07-18 (few-shot) unknown 200 128000 True 1,171 ± 378 / 120 ± 39 2.06 1.97 2.17 2.04 63.59 ± 2.16 / 42.42 ± 3.34 29.47 ± 4.78 / 50.59 ± 4.36 38.37 ± 9.13 / 60.56 ± 8.53 54.63 ± 0.51 / 65.79 ± 0.42 65.94 ± 0.11 / 17.32 ± 0.29 80.46 ± 4.74 / 84.69 ± 3.92 76.16 ± 4.99 / 83.11 ± 4.13 62.12 ± 2.52 / 70.60 ± 2.10 75.05 ± 1.56 / 57.52 ± 4.29 74.08 ± 1.43 / 62.50 ± 4.89 37.79 ± 4.47 / 55.88 ± 3.23 63.80 ± 0.16 / 13.40 ± 0.32 31.59 ± 11.25 / 54.68 ± 10.28 39.25 ± 7.82 / 62.90 ± 7.12 39.43 ± 2.31 / 72.15 ± 1.71 51.93 ± 1.39 / 62.52 ± 1.41 68.29 ± 1.51 / 75.45 ± 1.24 67.38 ± 1.52 / 52.86 ± 4.83 65.51 ± 4.81 / 67.01 ± 3.84 29.41 ± 10.34 / 52.38 ± 8.76 55.67 ± 0.89 / 66.26 ± 0.48 65.70 ± 0.71 / 16.98 ± 0.75 50.06 ± 2.65 / 61.33 ± 2.36 64.58 ± 2.48 / 72.57 ± 2.06 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0
timpal0l/sol (few-shot) 10732 32 4096 False 3,701 ± 876 / 771 ± 247 2.14 2.09 2.24 2.09 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 66.89 ± 0.89 / 22.65 ± 0.84 61.12 ± 1.49 / 70.29 ± 1.16 64.86 ± 2.64 / 76.05 ± 1.94 67.96 ± 1.07 / 75.68 ± 0.86 65.14 ± 1.62 / 52.85 ± 3.03 65.88 ± 1.53 / 52.89 ± 2.29 57.06 ± 1.54 / 71.09 ± 1.17 66.21 ± 0.76 / 20.29 ± 1.10 26.41 ± 3.80 / 51.92 ± 5.30 19.58 ± 1.29 / 53.93 ± 2.90 51.60 ± 1.97 / 77.87 ± 1.44 36.06 ± 0.69 / 51.47 ± 0.52 64.97 ± 1.25 / 73.41 ± 1.01 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 65.22 ± 0.19 / 18.86 ± 0.30 39.52 ± 0.58 / 54.47 ± 0.38 70.93 ± 1.29 / 78.03 ± 1.01 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 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 2.19 2.07 2.38 2.13 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 66.81 ± 1.08 / 22.82 ± 1.04 64.79 ± 1.37 / 73.46 ± 1.07 68.59 ± 2.23 / 78.59 ± 1.60 65.29 ± 0.94 / 73.54 ± 0.74 68.11 ± 1.83 / 57.57 ± 3.10 68.19 ± 1.01 / 56.90 ± 2.54 55.33 ± 1.95 / 69.71 ± 1.56 65.51 ± 1.32 / 19.63 ± 1.66 10.15 ± 3.24 / 36.27 ± 1.44 7.51 ± 2.97 / 35.89 ± 1.30 55.33 ± 3.29 / 80.42 ± 1.68 35.57 ± 0.78 / 51.45 ± 0.56 62.76 ± 1.85 / 71.77 ± 1.45 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 65.19 ± 0.36 / 19.09 ± 0.55 39.82 ± 0.69 / 54.84 ± 0.53 68.87 ± 1.35 / 76.46 ± 1.04 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 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
mistralai/Mistral-Nemo-Instruct-2407 (few-shot) 12248 131 1024001 True 7,095 ± 2,193 / 1,063 ± 344 2.20 2.13 2.28 2.20 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 66.24 ± 0.66 / 20.00 ± 0.80 67.09 ± 1.38 / 74.85 ± 1.04 72.87 ± 2.11 / 81.97 ± 1.42 42.77 ± 2.30 / 55.61 ± 2.33 70.14 ± 1.60 / 51.03 ± 3.02 68.74 ± 1.21 / 51.48 ± 2.96 60.64 ± 2.52 / 73.91 ± 1.86 64.61 ± 0.40 / 16.10 ± 0.86 35.59 ± 2.29 / 61.96 ± 3.72 29.22 ± 2.86 / 60.98 ± 4.02 49.87 ± 4.84 / 76.01 ± 3.10 39.07 ± 0.84 / 53.89 ± 0.69 37.95 ± 3.53 / 51.35 ± 3.17 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 65.93 ± 0.19 / 19.24 ± 0.33 40.58 ± 1.17 / 55.16 ± 0.88 42.99 ± 2.04 / 56.16 ± 1.93 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 2.24 2.05 2.43 2.24 53.20 ± 1.97 / 32.89 ± 2.00 51.75 ± 1.18 / 67.38 ± 0.95 32.72 ± 1.79 / 62.53 ± 2.00 56.44 ± 0.99 / 65.36 ± 0.51 67.46 ± 0.76 / 23.35 ± 0.88 59.78 ± 1.61 / 69.68 ± 1.23 58.63 ± 2.54 / 71.72 ± 1.82 50.74 ± 1.16 / 62.79 ± 0.92 66.22 ± 2.15 / 48.98 ± 4.65 64.14 ± 1.26 / 49.59 ± 4.31 55.48 ± 1.77 / 69.68 ± 1.45 65.32 ± 0.41 / 18.53 ± 0.65 26.13 ± 1.28 / 56.08 ± 2.05 17.32 ± 0.77 / 54.57 ± 1.49 49.75 ± 1.22 / 77.08 ± 0.60 29.72 ± 1.33 / 46.95 ± 0.96 46.78 ± 2.83 / 59.65 ± 2.28 60.38 ± 1.60 / 36.17 ± 3.66 77.49 ± 0.98 / 72.07 ± 1.56 29.32 ± 2.34 / 54.43 ± 2.67 56.79 ± 0.83 / 65.84 ± 0.48 65.75 ± 0.16 / 20.23 ± 0.23 36.05 ± 1.10 / 51.86 ± 0.87 51.15 ± 1.71 / 63.20 ± 1.32 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 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
mistralai/Ministral-8B-Instruct-2410 (few-shot) 8020 131 32768 True 5,821 ± 1,090 / 1,561 ± 506 2.29 2.20 2.50 2.16 52.49 ± 1.89 / 38.85 ± 1.94 49.67 ± 1.40 / 65.83 ± 1.40 22.80 ± 5.31 / 55.25 ± 6.92 57.07 ± 0.68 / 64.46 ± 0.57 66.75 ± 0.97 / 21.86 ± 0.87 59.57 ± 1.49 / 69.19 ± 1.13 65.34 ± 2.38 / 76.95 ± 1.56 53.97 ± 2.40 / 64.76 ± 2.17 69.85 ± 2.00 / 59.43 ± 3.23 68.83 ± 1.07 / 59.51 ± 2.63 54.49 ± 2.44 / 69.23 ± 2.00 64.05 ± 0.67 / 16.34 ± 1.01 28.55 ± 2.65 / 61.53 ± 3.21 17.47 ± 3.61 / 52.60 ± 5.26 43.55 ± 3.42 / 71.05 ± 3.22 34.93 ± 1.01 / 50.67 ± 0.80 49.83 ± 2.75 / 61.44 ± 2.40 67.49 ± 2.20 / 51.10 ± 4.76 76.74 ± 1.27 / 75.66 ± 1.17 22.37 ± 3.11 / 54.47 ± 4.95 57.15 ± 0.72 / 64.47 ± 0.58 65.37 ± 0.39 / 19.85 ± 0.39 37.50 ± 0.73 / 52.72 ± 0.63 55.01 ± 2.40 / 65.64 ± 2.12 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
skole-gpt-mixtral (few-shot) unknown 32 32768 False 3,583 ± 977 / 686 ± 231 2.37 2.20 2.60 2.30 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 66.83 ± 0.63 / 21.53 ± 1.17 65.77 ± 2.06 / 74.26 ± 1.57 77.56 ± 1.97 / 85.02 ± 1.31 30.34 ± 1.47 / 46.85 ± 1.17 62.52 ± 2.14 / 49.42 ± 3.83 61.55 ± 1.68 / 47.53 ± 3.65 52.09 ± 3.90 / 65.72 ± 4.14 64.70 ± 0.79 / 17.10 ± 1.35 21.99 ± 2.17 / 58.21 ± 2.38 16.84 ± 2.07 / 51.76 ± 4.30 47.30 ± 4.17 / 72.60 ± 3.24 39.99 ± 1.01 / 54.90 ± 0.76 32.16 ± 1.91 / 48.12 ± 1.74 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 65.86 ± 0.29 / 19.67 ± 0.58 43.62 ± 0.82 / 57.61 ± 0.65 28.84 ± 2.65 / 45.75 ± 2.13 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 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-3.1-8B (few-shot) 8030 128 131073 True 2,439 ± 459 / 703 ± 219 2.39 2.37 2.53 2.28 47.68 ± 2.50 / 32.67 ± 2.45 49.71 ± 1.43 / 64.00 ± 1.96 25.48 ± 2.83 / 58.45 ± 2.63 60.31 ± 1.24 / 65.79 ± 0.84 64.74 ± 0.50 / 17.82 ± 0.98 57.60 ± 1.58 / 67.81 ± 1.23 65.98 ± 1.72 / 77.34 ± 1.16 28.65 ± 2.52 / 45.11 ± 2.33 64.62 ± 1.26 / 53.50 ± 3.27 65.10 ± 1.86 / 56.43 ± 2.58 52.87 ± 1.18 / 68.71 ± 1.01 63.88 ± 1.12 / 16.54 ± 1.58 28.34 ± 3.26 / 58.57 ± 4.45 22.40 ± 3.12 / 53.51 ± 5.42 53.20 ± 3.15 / 75.98 ± 2.62 35.80 ± 0.97 / 51.22 ± 0.67 30.31 ± 1.70 / 46.84 ± 1.59 63.85 ± 2.49 / 44.62 ± 4.10 79.96 ± 0.93 / 75.75 ± 2.22 31.70 ± 4.07 / 59.28 ± 5.00 59.33 ± 0.88 / 65.24 ± 0.79 65.07 ± 0.28 / 18.94 ± 0.35 37.48 ± 0.64 / 52.46 ± 0.52 31.27 ± 1.39 / 47.97 ± 1.30 12.11.0 12.11.0 12.11.0 12.11.0 13.0.0 13.0.0 13.0.0 13.0.0 12.11.0 12.11.0 12.11.0 13.0.0 12.11.0 12.11.0 13.0.0 13.0.0 13.0.0 12.11.0 12.11.0 12.11.0 13.0.0 13.0.0 13.0.0 13.0.0
RJuro/munin-neuralbeagle-7b (few-shot, val) 7242 32 32768 False 2,493 ± 466 / 773 ± 243 2.40 2.14 2.66 2.39 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 68.06 ± 1.42 / 24.28 ± 1.31 74.24 ± 2.14 / 80.62 ± 1.61 70.86 ± 3.58 / 80.31 ± 2.53 41.49 ± 2.88 / 55.86 ± 2.17 61.18 ± 2.76 / 56.36 ± 3.30 65.16 ± 3.97 / 55.74 ± 4.71 55.61 ± 4.02 / 68.27 ± 3.49 65.99 ± 0.31 / 19.46 ± 0.47 20.84 ± 5.41 / 49.36 ± 4.98 9.12 ± 3.51 / 43.06 ± 3.74 42.92 ± 3.08 / 69.13 ± 2.85 27.77 ± 2.86 / 45.43 ± 2.04 39.67 ± 4.37 / 54.26 ± 3.37 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 67.58 ± 0.22 / 22.52 ± 0.52 32.54 ± 2.61 / 49.30 ± 1.93 34.94 ± 3.79 / 50.39 ± 3.23 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2 9.3.2 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 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
meta-llama/Llama-3.1-8B-Instruct (few-shot) 8030 128 131073 True 2,411 ± 465 / 686 ± 215 2.42 2.36 2.57 2.33 57.19 ± 1.73 / 44.34 ± 2.43 51.30 ± 1.32 / 64.44 ± 1.47 10.31 ± 3.91 / 42.59 ± 5.19 48.80 ± 1.66 / 60.46 ± 0.60 67.38 ± 1.09 / 23.21 ± 0.94 61.78 ± 1.70 / 71.28 ± 1.27 66.61 ± 1.90 / 77.73 ± 1.31 39.62 ± 2.26 / 53.92 ± 1.96 74.77 ± 0.84 / 71.87 ± 0.97 72.80 ± 1.57 / 69.98 ± 1.84 57.30 ± 0.98 / 71.58 ± 0.90 66.08 ± 0.56 / 19.80 ± 0.86 5.23 ± 1.83 / 34.90 ± 0.81 11.51 ± 3.24 / 45.73 ± 5.97 43.93 ± 3.73 / 70.96 ± 3.00 38.10 ± 0.57 / 52.64 ± 0.47 39.30 ± 1.01 / 54.03 ± 0.82 71.52 ± 1.43 / 59.28 ± 3.63 80.46 ± 0.83 / 78.67 ± 1.13 12.29 ± 3.59 / 40.53 ± 4.13 53.54 ± 1.52 / 62.08 ± 0.98 66.27 ± 0.15 / 19.05 ± 0.30 39.40 ± 1.44 / 53.87 ± 1.19 38.88 ± 1.25 / 53.72 ± 0.91 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mhenrichsen/danskgpt-chat-v2.1 (few-shot) unknown 32 32768 True 5,085 ± 998 / 1,306 ± 404 2.45 2.04 2.77 2.54 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 66.90 ± 0.23 / 20.90 ± 0.64 79.39 ± 1.11 / 84.29 ± 0.86 73.22 ± 1.83 / 81.91 ± 1.32 48.16 ± 1.14 / 60.83 ± 0.97 62.43 ± 0.94 / 51.64 ± 2.45 60.68 ± 0.74 / 48.91 ± 2.93 53.41 ± 1.46 / 69.49 ± 1.05 63.65 ± 0.26 / 13.19 ± 0.53 -1.16 ± 1.31 / 33.56 ± 0.43 0.30 ± 0.71 / 34.08 ± 0.32 49.15 ± 2.79 / 76.77 ± 1.59 38.47 ± 0.66 / 53.57 ± 0.50 40.13 ± 2.77 / 54.87 ± 2.11 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 64.42 ± 0.09 / 14.42 ± 0.51 32.81 ± 0.91 / 49.28 ± 0.64 36.24 ± 1.44 / 51.96 ± 1.13 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 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
four-two-labs/orpo-llama-3-swe (few-shot) 8030 128 8192 False 4,974 ± 1,208 / 1,032 ± 342 2.47 2.38 2.67 2.36 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 65.21 ± 0.51 / 18.86 ± 0.87 55.72 ± 2.05 / 66.59 ± 1.56 61.59 ± 2.64 / 73.95 ± 1.89 25.43 ± 2.44 / 43.11 ± 2.03 61.63 ± 1.64 / 48.09 ± 2.89 61.30 ± 1.94 / 50.08 ± 2.60 48.85 ± 2.22 / 64.93 ± 2.00 63.67 ± 1.11 / 16.08 ± 1.70 24.15 ± 6.12 / 56.29 ± 6.81 21.33 ± 3.03 / 58.05 ± 2.59 53.66 ± 4.34 / 75.19 ± 3.59 33.52 ± 1.36 / 49.78 ± 1.04 26.04 ± 2.54 / 43.74 ± 2.07 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 64.99 ± 0.26 / 18.65 ± 0.32 36.35 ± 1.03 / 51.91 ± 0.77 27.22 ± 2.24 / 45.02 ± 1.74 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 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
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4096 True 1,979 ± 621 / 320 ± 105 2.47 2.27 2.71 2.42 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 67.13 ± 0.72 / 21.62 ± 0.86 69.26 ± 2.89 / 76.99 ± 2.16 46.40 ± 2.92 / 59.45 ± 2.63 39.72 ± 2.48 / 53.83 ± 2.19 60.21 ± 1.86 / 47.06 ± 3.08 62.99 ± 2.66 / 48.82 ± 5.49 55.12 ± 5.10 / 66.55 ± 5.07 65.11 ± 0.66 / 17.82 ± 1.21 27.12 ± 4.90 / 54.26 ± 6.80 6.82 ± 5.06 / 46.18 ± 4.14 38.50 ± 3.93 / 69.99 ± 2.23 32.30 ± 3.42 / 48.32 ± 2.61 34.43 ± 2.91 / 49.65 ± 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 67.57 ± 0.24 / 21.77 ± 0.61 37.60 ± 3.30 / 52.46 ± 2.31 31.78 ± 2.98 / 47.11 ± 2.71 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 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
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 4,687 ± 1,121 / 967 ± 313 2.47 2.38 2.66 2.36 46.31 ± 3.22 / 29.09 ± 2.52 51.29 ± 1.47 / 66.35 ± 1.70 25.70 ± 4.59 / 55.65 ± 5.87 59.79 ± 1.21 / 65.44 ± 0.76 65.16 ± 0.48 / 18.74 ± 0.83 56.20 ± 2.22 / 66.91 ± 1.68 61.16 ± 2.54 / 73.63 ± 1.85 24.99 ± 2.12 / 42.57 ± 1.91 61.48 ± 1.83 / 47.65 ± 2.94 61.58 ± 2.21 / 50.10 ± 2.68 49.87 ± 1.88 / 66.15 ± 1.44 63.38 ± 1.15 / 15.74 ± 1.68 21.20 ± 6.57 / 52.29 ± 7.43 19.65 ± 4.32 / 56.66 ± 4.40 53.35 ± 4.33 / 74.98 ± 3.70 33.02 ± 1.35 / 49.25 ± 1.04 24.93 ± 3.13 / 42.47 ± 2.74 60.36 ± 2.84 / 39.37 ± 3.56 79.74 ± 0.75 / 75.11 ± 1.91 28.24 ± 4.19 / 55.29 ± 5.35 59.73 ± 1.13 / 65.72 ± 0.94 64.81 ± 0.24 / 18.56 ± 0.35 35.86 ± 0.90 / 51.39 ± 0.69 26.49 ± 1.89 / 44.41 ± 1.56 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 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/BeagleCatMunin2 (few-shot, val) 7242 32 32768 False 2,477 ± 459 / 767 ± 241 2.47 2.28 2.70 2.42 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 68.04 ± 1.34 / 24.72 ± 1.42 67.37 ± 4.12 / 75.55 ± 3.01 66.75 ± 3.42 / 77.34 ± 2.58 42.21 ± 3.40 / 56.48 ± 2.62 61.17 ± 3.56 / 54.24 ± 3.45 65.44 ± 2.83 / 54.34 ± 3.95 58.69 ± 3.28 / 70.83 ± 2.49 66.08 ± 0.32 / 20.15 ± 0.64 15.03 ± 2.70 / 40.22 ± 1.66 5.95 ± 4.55 / 39.18 ± 2.91 42.42 ± 2.92 / 69.53 ± 3.17 27.31 ± 2.26 / 45.04 ± 1.66 41.63 ± 2.84 / 56.02 ± 2.19 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 68.06 ± 0.31 / 23.91 ± 0.64 33.71 ± 2.28 / 50.08 ± 1.68 41.45 ± 3.36 / 55.51 ± 2.69 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 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 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) 8030 128 8192 False 5,018 ± 1,216 / 996 ± 324 2.49 2.40 2.76 2.32 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 66.25 ± 1.15 / 19.93 ± 1.18 57.31 ± 2.81 / 68.05 ± 2.05 54.17 ± 2.95 / 68.20 ± 1.83 27.65 ± 3.28 / 44.53 ± 2.63 64.51 ± 3.28 / 51.06 ± 4.78 65.66 ± 3.82 / 53.90 ± 4.32 52.90 ± 4.31 / 65.38 ± 3.73 64.12 ± 0.39 / 15.41 ± 0.84 29.34 ± 4.34 / 59.36 ± 4.64 17.42 ± 4.38 / 52.01 ± 3.50 38.49 ± 4.41 / 67.16 ± 3.41 25.77 ± 3.46 / 43.40 ± 2.66 31.80 ± 2.89 / 46.80 ± 2.26 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 66.53 ± 0.29 / 19.24 ± 0.57 33.16 ± 2.11 / 49.26 ± 1.55 32.51 ± 2.97 / 48.24 ± 2.10 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 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 5,763 ± 1,178 / 1,390 ± 446 2.49 2.24 2.80 2.43 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 67.55 ± 1.08 / 23.77 ± 0.94 80.75 ± 1.25 / 85.31 ± 0.98 74.77 ± 1.93 / 83.14 ± 1.29 36.86 ± 1.37 / 51.61 ± 1.09 40.91 ± 2.56 / 33.22 ± 1.88 42.91 ± 2.34 / 35.61 ± 2.22 52.62 ± 2.01 / 68.10 ± 2.25 65.77 ± 0.38 / 19.35 ± 0.75 9.70 ± 4.22 / 36.58 ± 1.69 11.98 ± 2.76 / 39.37 ± 2.76 47.36 ± 4.28 / 72.71 ± 4.10 36.97 ± 1.21 / 52.08 ± 0.96 37.64 ± 1.86 / 51.95 ± 1.52 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 66.33 ± 0.19 / 20.77 ± 0.27 40.09 ± 0.90 / 54.78 ± 0.70 36.27 ± 1.57 / 50.67 ± 1.45 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
bineric/NorskGPT-Llama3-8b (few-shot) 8030 128 8192 False 3,695 ± 1,277 / 532 ± 183 2.50 2.51 2.51 2.48 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 66.70 ± 0.98 / 21.56 ± 0.85 65.15 ± 1.40 / 73.55 ± 1.05 57.36 ± 2.49 / 70.88 ± 1.70 44.55 ± 1.98 / 57.29 ± 1.77 66.94 ± 2.67 / 60.25 ± 3.14 67.69 ± 1.87 / 61.57 ± 2.05 48.40 ± 3.28 / 61.42 ± 3.56 65.84 ± 0.40 / 19.08 ± 0.78 24.26 ± 2.68 / 57.31 ± 2.64 18.43 ± 1.34 / 52.28 ± 2.63 46.80 ± 2.74 / 74.57 ± 2.20 33.55 ± 1.06 / 49.43 ± 0.76 47.32 ± 2.75 / 59.11 ± 2.44 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 66.25 ± 0.16 / 20.28 ± 0.33 36.23 ± 0.91 / 51.68 ± 0.73 43.60 ± 1.33 / 56.86 ± 1.15 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 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
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 2.50 2.41 2.62 2.47 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 66.36 ± 0.47 / 19.75 ± 0.84 57.87 ± 1.67 / 67.43 ± 1.34 50.42 ± 3.32 / 65.43 ± 2.41 29.17 ± 2.24 / 44.59 ± 2.00 74.47 ± 1.47 / 65.57 ± 2.39 72.93 ± 1.00 / 65.44 ± 2.55 50.62 ± 3.52 / 65.69 ± 3.50 63.98 ± 0.50 / 14.75 ± 0.79 27.77 ± 1.63 / 61.75 ± 1.77 20.35 ± 1.92 / 57.74 ± 2.28 42.90 ± 3.57 / 69.90 ± 3.17 33.44 ± 0.67 / 48.76 ± 0.58 30.91 ± 1.88 / 45.85 ± 1.93 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 66.60 ± 0.07 / 19.13 ± 0.31 33.54 ± 1.40 / 49.20 ± 1.13 30.32 ± 2.27 / 45.96 ± 1.87 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 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
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.50 2.27 2.79 2.45 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 67.33 ± 1.40 / 22.77 ± 1.39 65.38 ± 2.59 / 73.95 ± 1.84 62.78 ± 4.04 / 74.61 ± 2.90 39.07 ± 2.57 / 53.83 ± 2.06 62.47 ± 2.56 / 57.71 ± 3.02 66.69 ± 2.91 / 58.83 ± 3.70 54.04 ± 2.91 / 66.46 ± 2.59 65.74 ± 0.37 / 19.13 ± 0.54 16.75 ± 4.54 / 49.11 ± 4.45 13.00 ± 4.46 / 49.33 ± 2.69 34.48 ± 2.13 / 65.43 ± 2.07 28.39 ± 1.76 / 45.59 ± 1.28 35.19 ± 3.28 / 50.12 ± 3.13 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 68.35 ± 0.32 / 24.05 ± 0.66 32.30 ± 2.48 / 48.98 ± 1.96 38.78 ± 5.70 / 52.89 ± 4.91 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2 9.3.2 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 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
timpal0l/BeagleCatMunin (few-shot, val) 7242 32 32768 False 2,495 ± 458 / 775 ± 244 2.50 2.33 2.84 2.34 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 67.31 ± 1.40 / 23.24 ± 1.64 66.49 ± 2.90 / 74.84 ± 2.12 60.41 ± 1.95 / 72.97 ± 1.45 28.51 ± 3.95 / 45.74 ± 3.03 54.04 ± 2.86 / 48.50 ± 2.85 62.21 ± 3.31 / 50.38 ± 4.32 54.74 ± 3.71 / 67.81 ± 2.80 65.60 ± 0.49 / 19.07 ± 0.70 14.51 ± 1.97 / 40.94 ± 1.63 5.38 ± 4.69 / 37.62 ± 2.92 42.83 ± 3.31 / 69.15 ± 2.50 25.82 ± 1.66 / 43.75 ± 1.18 32.01 ± 3.74 / 48.40 ± 2.69 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 67.89 ± 0.44 / 23.94 ± 0.68 34.80 ± 2.79 / 50.82 ± 2.10 36.65 ± 5.07 / 51.56 ± 4.13 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2 9.3.2 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 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) 7242 32 32768 False 2,903 ± 407 / 1,157 ± 350 2.54 2.44 2.63 2.54 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 67.69 ± 1.19 / 23.90 ± 1.25 68.45 ± 3.11 / 76.37 ± 2.29 65.51 ± 3.45 / 76.56 ± 2.62 42.09 ± 3.27 / 56.33 ± 2.56 63.33 ± 2.69 / 53.24 ± 3.41 68.84 ± 1.87 / 53.85 ± 3.78 58.28 ± 3.11 / 69.79 ± 2.39 65.94 ± 0.22 / 19.92 ± 0.44 18.65 ± 3.84 / 45.34 ± 2.61 10.72 ± 5.52 / 43.91 ± 3.48 44.39 ± 3.95 / 70.76 ± 3.10 26.61 ± 3.10 / 44.80 ± 2.38 46.64 ± 2.03 / 59.84 ± 1.50 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 68.11 ± 0.21 / 23.63 ± 0.56 27.79 ± 2.32 / 45.82 ± 1.61 42.43 ± 2.76 / 56.52 ± 2.13 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 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 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1
birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) 7242 32 32768 False 2,856 ± 391 / 1,142 ± 342 2.54 2.44 2.63 2.54 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 67.69 ± 1.19 / 23.88 ± 1.23 68.45 ± 3.11 / 76.37 ± 2.29 65.51 ± 3.45 / 76.56 ± 2.62 42.09 ± 3.27 / 56.33 ± 2.56 63.33 ± 2.69 / 53.24 ± 3.41 68.84 ± 1.87 / 53.85 ± 3.78 58.28 ± 3.11 / 69.79 ± 2.39 65.94 ± 0.22 / 19.92 ± 0.44 18.65 ± 3.84 / 45.34 ± 2.61 10.72 ± 5.52 / 43.91 ± 3.48 44.39 ± 3.95 / 70.76 ± 3.10 26.61 ± 3.10 / 44.80 ± 2.38 46.64 ± 2.03 / 59.84 ± 1.50 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 68.11 ± 0.21 / 23.63 ± 0.56 27.79 ± 2.32 / 45.82 ± 1.61 42.43 ± 2.76 / 56.52 ± 2.13 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 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 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,890 ± 401 / 1,155 ± 348 2.55 2.29 2.83 2.53 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 66.25 ± 1.29 / 20.33 ± 1.14 65.32 ± 3.33 / 73.95 ± 2.50 64.76 ± 3.24 / 75.94 ± 2.37 33.70 ± 2.78 / 50.16 ± 2.01 53.96 ± 3.37 / 49.84 ± 3.30 63.45 ± 2.27 / 53.13 ± 3.43 52.70 ± 4.58 / 66.82 ± 3.41 65.23 ± 0.55 / 18.64 ± 0.86 14.87 ± 3.37 / 40.83 ± 1.91 2.48 ± 3.31 / 35.61 ± 1.83 41.43 ± 3.34 / 67.26 ± 2.73 27.42 ± 2.13 / 45.20 ± 1.58 36.05 ± 3.95 / 51.68 ± 2.96 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 67.62 ± 0.42 / 23.90 ± 0.77 27.95 ± 2.57 / 45.86 ± 1.85 36.11 ± 3.54 / 51.60 ± 2.44 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 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 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) 7242 32 32768 False 3,008 ± 429 / 991 ± 323 2.57 2.33 2.93 2.46 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 66.77 ± 0.99 / 21.60 ± 0.91 72.92 ± 2.52 / 79.69 ± 1.88 68.11 ± 3.00 / 78.52 ± 2.22 40.62 ± 3.23 / 55.12 ± 2.44 53.68 ± 2.01 / 49.22 ± 2.67 61.92 ± 4.06 / 49.03 ± 3.97 47.78 ± 3.19 / 57.76 ± 2.55 64.23 ± 0.75 / 16.90 ± 0.94 0.91 ± 1.78 / 33.51 ± 0.85 1.24 ± 1.66 / 33.71 ± 0.94 47.76 ± 2.93 / 70.99 ± 2.39 28.59 ± 2.31 / 46.48 ± 1.80 42.57 ± 2.86 / 56.64 ± 2.17 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 65.13 ± 0.34 / 19.26 ± 0.43 29.81 ± 2.25 / 47.46 ± 1.72 35.59 ± 3.75 / 51.76 ± 2.63 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2 9.3.2 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 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
bineric/NorskGPT-Mistral-7b (few-shot) 7242 32 32768 False 2,443 ± 451 / 761 ± 237 2.57 2.59 2.54 2.57 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 66.89 ± 0.71 / 21.43 ± 0.57 64.32 ± 1.99 / 73.00 ± 1.51 53.18 ± 2.37 / 67.48 ± 1.70 43.42 ± 1.05 / 57.50 ± 0.80 63.28 ± 1.99 / 47.72 ± 3.74 61.25 ± 1.05 / 45.04 ± 2.92 56.90 ± 1.49 / 70.81 ± 1.30 65.72 ± 0.39 / 19.24 ± 0.78 13.86 ± 1.95 / 44.84 ± 2.31 10.17 ± 1.89 / 46.48 ± 2.46 49.03 ± 4.22 / 74.38 ± 3.92 32.37 ± 1.15 / 49.00 ± 0.91 47.62 ± 1.62 / 60.59 ± 1.18 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 65.36 ± 0.14 / 18.81 ± 0.17 35.01 ± 0.99 / 51.07 ± 0.70 43.72 ± 0.69 / 57.66 ± 0.50 9.3.1 9.3.1 9.3.1 12.5.1 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 9.3.1 9.3.1 11.0.0 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 11.0.0 9.3.1 9.3.1
merge-crew/da-sv-slerp (few-shot, val) 7242 32 32768 True 2,467 ± 469 / 762 ± 244 2.57 2.31 2.95 2.45 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 66.65 ± 1.28 / 21.98 ± 1.17 68.88 ± 2.98 / 76.64 ± 2.22 64.81 ± 3.96 / 75.78 ± 2.64 23.63 ± 2.25 / 42.03 ± 2.02 49.67 ± 3.12 / 43.26 ± 3.03 61.11 ± 1.93 / 50.15 ± 4.14 56.07 ± 5.22 / 68.93 ± 4.07 64.97 ± 0.59 / 18.14 ± 1.03 3.81 ± 3.09 / 34.47 ± 1.22 -1.29 ± 2.53 / 33.32 ± 0.91 44.98 ± 4.12 / 68.18 ± 3.39 28.63 ± 2.26 / 45.94 ± 1.79 25.43 ± 4.85 / 43.48 ± 3.71 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 66.76 ± 0.41 / 21.92 ± 0.79 28.89 ± 2.22 / 46.41 ± 1.55 30.36 ± 2.80 / 47.15 ± 2.26 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 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 2.57 2.30 2.97 2.44 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 66.62 ± 1.35 / 21.92 ± 1.28 68.64 ± 3.34 / 76.45 ± 2.52 66.17 ± 3.73 / 76.72 ± 2.55 23.95 ± 2.64 / 42.19 ± 2.42 49.69 ± 2.90 / 43.57 ± 2.90 61.78 ± 2.03 / 49.91 ± 4.24 55.87 ± 5.21 / 68.97 ± 3.95 64.94 ± 0.66 / 18.09 ± 1.08 2.99 ± 3.04 / 34.16 ± 1.10 -1.29 ± 2.53 / 33.32 ± 0.91 44.62 ± 4.06 / 68.17 ± 3.48 28.26 ± 2.85 / 45.78 ± 2.14 25.83 ± 5.55 / 43.63 ± 4.29 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 66.68 ± 0.43 / 21.83 ± 0.75 29.95 ± 1.74 / 47.23 ± 1.24 31.12 ± 3.68 / 47.85 ± 2.80 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1
CohereForAI/aya-expanse-8b (few-shot) 8028 256 8192 False 5,581 ± 1,066 / 1,471 ± 483 2.58 2.42 2.81 2.50 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 66.18 ± 0.84 / 21.10 ± 0.69 41.32 ± 1.11 / 55.43 ± 0.86 52.24 ± 1.55 / 68.01 ± 1.05 37.67 ± 0.80 / 53.26 ± 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 64.48 ± 0.61 / 17.46 ± 0.76 15.80 ± 2.22 / 51.42 ± 3.79 12.30 ± 2.38 / 51.96 ± 3.31 43.26 ± 2.53 / 71.49 ± 2.01 36.48 ± 0.85 / 52.32 ± 0.62 35.85 ± 1.48 / 51.83 ± 1.11 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 65.69 ± 0.22 / 19.95 ± 0.16 37.32 ± 0.70 / 52.95 ± 0.50 38.28 ± 1.31 / 53.70 ± 0.97 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
birgermoell/Rapid-Cycling (few-shot, val) 7242 32 32768 False 2,346 ± 450 / 666 ± 249 2.58 2.30 2.91 2.52 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 65.58 ± 1.30 / 17.82 ± 1.12 67.48 ± 3.13 / 75.62 ± 2.33 63.69 ± 2.43 / 75.31 ± 1.76 32.11 ± 3.47 / 48.55 ± 2.67 55.93 ± 2.70 / 50.51 ± 3.15 63.85 ± 2.45 / 53.11 ± 4.11 50.41 ± 5.49 / 64.49 ± 4.37 65.10 ± 0.51 / 18.12 ± 0.74 15.74 ± 4.15 / 41.16 ± 2.21 2.23 ± 4.69 / 34.70 ± 1.39 39.81 ± 2.81 / 65.65 ± 2.64 26.34 ± 1.48 / 44.69 ± 1.13 34.85 ± 4.33 / 50.23 ± 3.39 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 67.57 ± 0.48 / 23.65 ± 0.72 27.24 ± 2.07 / 45.51 ± 1.53 32.04 ± 4.21 / 48.67 ± 3.11 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2 9.3.2 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 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.58 2.41 2.79 2.54 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 66.67 ± 0.87 / 21.08 ± 0.83 57.65 ± 1.99 / 68.08 ± 1.51 51.99 ± 3.67 / 66.43 ± 2.85 44.44 ± 1.52 / 58.16 ± 1.21 64.37 ± 2.17 / 52.81 ± 2.48 62.77 ± 0.83 / 51.80 ± 2.77 50.60 ± 4.90 / 66.76 ± 3.04 65.09 ± 0.31 / 17.27 ± 0.66 18.09 ± 2.04 / 52.56 ± 2.60 12.25 ± 2.18 / 50.79 ± 2.42 38.34 ± 2.39 / 69.54 ± 1.96 27.33 ± 0.72 / 45.16 ± 0.55 41.59 ± 2.61 / 56.02 ± 2.08 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 66.09 ± 0.17 / 19.64 ± 0.27 31.76 ± 0.89 / 48.64 ± 0.69 45.84 ± 1.47 / 59.27 ± 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 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
Mabeck/Heidrun-Mistral-7B-chat (few-shot) 7242 32 32768 False 5,822 ± 1,283 / 1,336 ± 430 2.60 2.35 2.84 2.60 50.80 ± 2.33 / 34.04 ± 1.76 42.79 ± 2.38 / 54.47 ± 3.04 23.25 ± 3.17 / 56.31 ± 4.02 59.90 ± 0.84 / 65.47 ± 0.43 67.50 ± 0.95 / 23.95 ± 0.59 66.61 ± 0.93 / 74.86 ± 0.71 64.80 ± 1.46 / 76.46 ± 1.02 29.18 ± 0.99 / 46.64 ± 0.76 61.41 ± 1.71 / 52.32 ± 2.63 59.49 ± 1.26 / 49.45 ± 3.31 49.19 ± 1.64 / 63.36 ± 1.52 64.22 ± 0.52 / 16.72 ± 0.66 15.17 ± 2.64 / 50.25 ± 4.51 10.78 ± 1.99 / 50.08 ± 4.20 48.99 ± 2.91 / 73.08 ± 2.26 27.64 ± 1.39 / 45.78 ± 1.03 25.74 ± 1.87 / 43.95 ± 1.58 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 64.18 ± 0.24 / 18.13 ± 0.35 31.04 ± 1.08 / 48.29 ± 0.82 23.57 ± 1.68 / 42.37 ± 1.34 10.0.1 10.0.1 10.0.1 12.5.0 12.6.1 10.0.1 11.0.0 10.0.1 10.0.1 10.0.1 10.0.1 12.5.0 10.0.1 10.0.1 12.5.0 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 12.5.0 12.5.0 10.0.1 10.0.1
birgermoell/Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,887 ± 403 / 1,144 ± 345 2.61 2.49 2.89 2.44 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 65.46 ± 1.23 / 17.73 ± 1.16 61.29 ± 2.33 / 70.82 ± 1.78 60.29 ± 2.58 / 72.97 ± 1.79 28.33 ± 2.11 / 45.86 ± 1.72 56.44 ± 3.14 / 50.10 ± 4.61 66.56 ± 2.40 / 54.48 ± 4.93 53.24 ± 4.75 / 67.94 ± 3.75 64.96 ± 0.56 / 17.92 ± 0.82 11.96 ± 2.46 / 37.26 ± 1.15 2.50 ± 4.21 / 35.26 ± 1.79 39.21 ± 3.48 / 64.09 ± 3.49 26.64 ± 1.95 / 44.88 ± 1.41 31.14 ± 2.64 / 48.01 ± 2.14 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 67.54 ± 0.48 / 23.67 ± 0.69 29.44 ± 2.34 / 46.95 ± 1.75 37.45 ± 3.61 / 52.85 ± 2.76 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 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 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1
google/gemma-7b (few-shot) 8538 256 8192 True 1,378 ± 260 / 387 ± 119 2.61 2.54 2.87 2.43 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 66.63 ± 0.82 / 22.82 ± 0.62 74.32 ± 0.96 / 80.31 ± 0.79 65.58 ± 2.10 / 76.41 ± 1.54 24.74 ± 2.86 / 39.03 ± 1.70 26.43 ± 3.36 / 26.32 ± 2.35 32.66 ± 3.42 / 29.43 ± 1.74 41.82 ± 3.69 / 53.06 ± 5.15 64.02 ± 1.35 / 17.65 ± 1.59 25.82 ± 4.43 / 59.85 ± 4.07 20.16 ± 3.43 / 53.83 ± 5.61 52.68 ± 3.58 / 75.16 ± 2.44 39.96 ± 0.97 / 53.03 ± 0.89 27.82 ± 4.59 / 41.21 ± 4.09 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 64.44 ± 0.29 / 18.70 ± 0.57 39.94 ± 1.17 / 53.25 ± 0.89 25.96 ± 3.94 / 40.33 ± 3.17 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 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 12.10.0
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) 7242 32 32768 True 2,443 ± 458 / 750 ± 240 2.64 2.50 2.92 2.51 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 66.14 ± 1.40 / 20.98 ± 1.16 60.58 ± 2.62 / 69.80 ± 2.03 57.89 ± 3.66 / 70.00 ± 2.59 16.45 ± 1.87 / 35.47 ± 1.77 48.24 ± 3.18 / 42.53 ± 3.52 61.50 ± 1.54 / 50.90 ± 4.58 49.40 ± 3.40 / 60.71 ± 3.33 64.56 ± 0.80 / 17.62 ± 1.06 24.12 ± 3.24 / 59.38 ± 2.25 13.20 ± 3.16 / 54.42 ± 3.04 47.93 ± 3.46 / 69.52 ± 3.06 26.21 ± 2.32 / 42.54 ± 1.71 17.00 ± 2.59 / 33.52 ± 2.18 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 66.77 ± 0.46 / 22.42 ± 0.84 29.77 ± 2.44 / 46.25 ± 1.64 25.38 ± 3.56 / 39.34 ± 3.89 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.64 2.46 2.86 2.59 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 66.62 ± 0.96 / 21.03 ± 0.80 60.03 ± 5.14 / 70.04 ± 3.73 59.83 ± 4.38 / 72.27 ± 3.40 40.40 ± 3.24 / 55.04 ± 2.57 61.90 ± 2.57 / 57.16 ± 2.81 66.92 ± 2.52 / 57.81 ± 3.54 48.80 ± 4.56 / 63.38 ± 3.06 64.72 ± 0.39 / 17.40 ± 0.60 19.53 ± 5.49 / 51.96 ± 4.90 9.83 ± 4.57 / 47.95 ± 2.22 30.27 ± 2.28 / 62.04 ± 2.19 28.18 ± 1.89 / 45.23 ± 1.44 36.20 ± 3.97 / 50.74 ± 3.38 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 67.94 ± 0.21 / 22.99 ± 0.24 27.51 ± 3.08 / 45.43 ± 2.37 42.29 ± 5.08 / 55.43 ± 4.50 12.5.2 12.5.2 12.5.2 12.5.2 12.6.1 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 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) 7242 32 8192 True 6,113 ± 1,044 / 1,790 ± 579 2.65 2.41 2.89 2.64 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 67.89 ± 1.20 / 24.67 ± 1.26 91.32 ± 0.66 / 93.45 ± 0.50 79.92 ± 1.83 / 85.82 ± 1.39 24.76 ± 3.27 / 42.17 ± 2.72 50.43 ± 2.27 / 42.19 ± 3.03 54.20 ± 1.81 / 43.92 ± 2.94 39.21 ± 5.64 / 56.54 ± 6.43 65.46 ± 0.77 / 19.21 ± 1.10 20.51 ± 4.43 / 52.48 ± 5.96 11.66 ± 4.10 / 48.13 ± 6.13 51.57 ± 3.87 / 73.95 ± 3.51 28.97 ± 1.40 / 45.70 ± 1.02 25.41 ± 3.81 / 42.75 ± 3.44 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 64.69 ± 0.53 / 19.03 ± 0.41 27.40 ± 0.76 / 44.17 ± 0.82 21.08 ± 3.28 / 38.46 ± 2.96 12.5.2 12.4.0 12.4.0 12.4.0 12.4.0 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 12.4.0 12.4.0 12.4.0 12.5.2 12.4.0 12.4.0 12.4.0 12.4.0 12.4.0 12.4.0
timpal0l/njord-alpha (few-shot) 7242 32 32768 True 5,431 ± 1,267 / 1,139 ± 365 2.66 2.44 2.94 2.60 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 67.57 ± 1.27 / 24.15 ± 1.17 83.45 ± 1.44 / 87.17 ± 1.20 70.43 ± 2.76 / 79.43 ± 1.95 16.43 ± 1.75 / 33.75 ± 1.91 50.47 ± 2.96 / 43.31 ± 2.54 51.97 ± 3.83 / 42.66 ± 5.03 48.03 ± 1.71 / 65.89 ± 1.68 65.48 ± 1.22 / 19.57 ± 1.57 22.65 ± 3.80 / 51.83 ± 5.03 17.10 ± 4.78 / 49.03 ± 6.45 44.72 ± 4.47 / 68.08 ± 4.22 25.82 ± 0.84 / 42.08 ± 0.80 21.35 ± 3.32 / 37.35 ± 3.07 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 65.95 ± 0.25 / 20.56 ± 0.37 25.32 ± 0.99 / 42.09 ± 1.04 14.55 ± 2.32 / 31.99 ± 2.16 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 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/tyr (few-shot, val) 7242 32 32768 False 6,079 ± 1,051 / 1,760 ± 570 2.68 2.52 3.03 2.49 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 66.82 ± 1.02 / 22.26 ± 1.10 57.53 ± 3.61 / 67.77 ± 2.64 67.04 ± 2.33 / 78.12 ± 1.58 22.16 ± 1.56 / 40.90 ± 1.34 58.60 ± 4.42 / 52.72 ± 4.93 63.15 ± 2.29 / 54.03 ± 4.33 51.85 ± 3.51 / 64.28 ± 2.54 64.57 ± 0.59 / 17.58 ± 0.98 0.66 ± 1.29 / 33.42 ± 0.80 0.53 ± 1.05 / 33.42 ± 0.73 43.22 ± 2.24 / 68.55 ± 2.42 26.09 ± 2.24 / 44.41 ± 1.68 23.43 ± 2.86 / 42.30 ± 2.29 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 67.96 ± 0.40 / 24.14 ± 0.74 31.74 ± 2.48 / 48.52 ± 1.88 30.12 ± 2.07 / 47.58 ± 1.29 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 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 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2
AI-Sweden-Models/Llama-3-8B (few-shot) 8030 128 8192 True 4,141 ± 994 / 905 ± 299 2.70 2.46 2.96 2.69 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 67.23 ± 1.11 / 23.15 ± 1.07 82.84 ± 0.94 / 87.01 ± 0.71 75.27 ± 1.67 / 83.44 ± 1.19 14.55 ± 2.72 / 33.99 ± 2.19 44.53 ± 2.58 / 36.59 ± 1.71 47.02 ± 2.08 / 39.99 ± 2.76 41.84 ± 2.46 / 56.79 ± 2.95 65.29 ± 1.50 / 19.34 ± 1.91 19.97 ± 3.99 / 47.40 ± 4.84 15.61 ± 4.20 / 43.40 ± 4.90 50.91 ± 4.42 / 73.43 ± 3.55 30.85 ± 1.15 / 46.02 ± 0.92 18.61 ± 3.08 / 36.62 ± 2.86 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 66.09 ± 0.31 / 20.48 ± 0.47 29.01 ± 0.68 / 45.32 ± 0.67 15.92 ± 1.74 / 35.28 ± 1.24 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 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
KennethEnevoldsen/munin_mistral-7b (few-shot, val) 7242 32 32768 False 2,543 ± 466 / 787 ± 247 2.71 2.49 2.95 2.70 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 67.18 ± 1.23 / 22.71 ± 1.10 70.49 ± 3.13 / 77.89 ± 2.32 66.28 ± 4.60 / 76.88 ± 3.34 25.13 ± 3.45 / 43.24 ± 2.58 51.82 ± 4.16 / 44.64 ± 4.66 62.55 ± 3.84 / 49.66 ± 5.87 56.37 ± 4.27 / 69.55 ± 4.52 63.74 ± 1.20 / 16.64 ± 1.53 6.04 ± 5.92 / 36.34 ± 3.96 -0.02 ± 0.04 / 33.47 ± 0.88 48.85 ± 4.11 / 70.75 ± 3.73 28.43 ± 2.75 / 45.94 ± 2.14 20.49 ± 3.69 / 40.00 ± 2.80 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 65.54 ± 0.49 / 19.31 ± 0.71 31.83 ± 2.27 / 48.55 ± 1.67 20.55 ± 3.93 / 38.95 ± 3.23 12.5.2 12.3.1 12.3.1 12.3.2 12.6.1 12.3.2 12.3.2 12.3.2 12.5.2 12.5.2 12.3.1 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2 12.5.2 12.3.1 12.3.1 12.3.2 12.3.2 12.3.2 12.3.2
ibm-granite/granite-3.0-8b-base (few-shot) 8171 49 4097 True 5,116 ± 943 / 1,436 ± 472 2.71 2.60 2.91 2.63 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 65.64 ± 0.99 / 21.12 ± 0.86 32.05 ± 2.18 / 47.54 ± 1.78 47.42 ± 1.74 / 65.02 ± 1.13 28.73 ± 1.32 / 46.04 ± 1.04 49.94 ± 2.13 / 46.49 ± 2.00 52.17 ± 1.02 / 46.44 ± 2.72 53.27 ± 1.54 / 66.73 ± 1.31 63.01 ± 1.50 / 15.82 ± 1.50 17.22 ± 3.50 / 50.42 ± 5.01 12.01 ± 2.47 / 47.98 ± 4.37 45.04 ± 3.42 / 69.52 ± 2.79 24.31 ± 1.12 / 42.68 ± 0.87 30.34 ± 1.41 / 47.38 ± 1.10 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 63.65 ± 0.52 / 18.25 ± 0.41 26.71 ± 1.53 / 44.61 ± 1.21 30.43 ± 0.92 / 47.06 ± 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 13.0.0 13.0.0 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-ties (few-shot, val) 7242 32 32768 True 2,457 ± 451 / 757 ± 237 2.71 2.59 2.99 2.55 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 66.33 ± 1.33 / 21.24 ± 1.23 57.16 ± 3.03 / 66.99 ± 2.44 60.06 ± 3.26 / 71.17 ± 2.36 13.62 ± 3.14 / 33.40 ± 2.67 47.61 ± 2.50 / 42.16 ± 2.82 60.57 ± 2.02 / 48.89 ± 4.48 44.46 ± 4.10 / 52.31 ± 4.53 64.59 ± 0.86 / 17.61 ± 1.09 23.99 ± 5.54 / 60.60 ± 2.74 11.60 ± 3.18 / 53.40 ± 2.75 47.02 ± 3.37 / 69.07 ± 2.64 27.13 ± 1.80 / 42.23 ± 1.12 15.65 ± 2.90 / 31.76 ± 2.07 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 66.59 ± 0.50 / 22.19 ± 0.78 31.44 ± 1.94 / 47.30 ± 1.54 26.04 ± 3.42 / 38.83 ± 4.24 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1
timpal0l/Llama-3-8B-flashback-v1 (few-shot) 8030 128 8192 True 4,807 ± 1,152 / 979 ± 319 2.73 2.73 3.08 2.37 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 61.98 ± 1.03 / 15.41 ± 1.03 46.91 ± 1.59 / 59.57 ± 1.13 50.98 ± 1.94 / 66.25 ± 1.43 16.33 ± 2.72 / 35.98 ± 2.43 59.09 ± 1.89 / 52.82 ± 2.60 60.02 ± 1.44 / 52.04 ± 2.63 47.58 ± 1.91 / 64.35 ± 1.95 58.88 ± 1.42 / 10.65 ± 1.13 10.52 ± 4.67 / 46.13 ± 6.95 6.67 ± 4.53 / 40.61 ± 5.40 49.89 ± 4.89 / 71.90 ± 4.09 29.17 ± 1.09 / 46.02 ± 0.72 17.46 ± 1.74 / 36.36 ± 1.79 59.03 ± 2.04 / 41.99 ± 4.35 81.13 ± 0.94 / 80.80 ± 1.09 33.06 ± 3.65 / 61.21 ± 3.26 58.21 ± 0.67 / 64.01 ± 0.68 64.42 ± 0.69 / 18.01 ± 0.55 35.24 ± 0.83 / 50.70 ± 0.57 25.14 ± 2.02 / 42.54 ± 1.99 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 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
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) 7242 32 32768 False 3,006 ± 479 / 1,053 ± 319 2.75 2.44 3.07 2.74 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 67.91 ± 0.79 / 24.44 ± 0.46 78.71 ± 1.22 / 83.82 ± 0.94 63.74 ± 2.06 / 74.88 ± 1.46 28.58 ± 0.96 / 45.97 ± 0.76 51.99 ± 1.85 / 37.40 ± 2.95 52.74 ± 1.13 / 36.83 ± 1.95 50.39 ± 1.38 / 66.42 ± 1.20 64.20 ± 0.44 / 16.28 ± 0.55 0.99 ± 1.03 / 33.56 ± 0.25 1.27 ± 1.30 / 34.04 ± 0.45 47.95 ± 3.19 / 72.60 ± 2.57 25.74 ± 0.98 / 43.89 ± 0.69 26.36 ± 1.73 / 44.31 ± 1.40 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 63.23 ± 0.35 / 15.35 ± 0.57 28.15 ± 0.90 / 45.69 ± 0.72 23.58 ± 1.41 / 42.30 ± 1.04 11.0.0 11.0.0 11.0.0 12.4.0 12.6.1 10.0.1 10.0.1 11.0.0 11.0.0 11.0.0 11.0.0 12.4.0 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 12.4.0 11.0.0 11.0.0
birgermoell/NeuralBeagle-Flashback (few-shot, val) 7242 32 32768 False 2,904 ± 405 / 1,155 ± 349 2.75 2.48 2.95 2.82 48.28 ± 2.73 / 36.42 ± 3.04 44.20 ± 2.63 / 53.54 ± 3.36 22.79 ± 5.54 / 54.63 ± 6.09 57.96 ± 0.80 / 63.50 ± 0.73 65.62 ± 1.30 / 17.98 ± 1.11 62.80 ± 2.47 / 72.15 ± 1.80 61.54 ± 2.29 / 73.98 ± 1.58 25.54 ± 2.80 / 43.01 ± 1.95 51.78 ± 2.90 / 47.69 ± 3.44 61.22 ± 3.73 / 50.00 ± 4.37 53.06 ± 4.92 / 67.05 ± 4.22 65.11 ± 0.51 / 18.04 ± 0.81 10.27 ± 5.84 / 43.06 ± 3.15 8.06 ± 3.56 / 41.59 ± 3.99 40.64 ± 2.58 / 66.46 ± 2.62 25.61 ± 2.74 / 44.49 ± 2.07 27.67 ± 4.55 / 44.18 ± 3.63 51.73 ± 4.51 / 40.50 ± 6.05 36.06 ± 3.31 / 53.46 ± 1.79 19.42 ± 5.08 / 46.92 ± 5.36 59.26 ± 1.66 / 64.40 ± 1.35 67.55 ± 0.53 / 23.64 ± 0.72 23.10 ± 2.38 / 42.58 ± 1.74 29.31 ± 5.03 / 47.11 ± 3.62 9.3.0 9.3.0 9.3.0 12.5.2 12.6.1 10.0.1 10.0.1 9.3.0 9.3.0 9.3.0 9.3.0 9.3.0 9.3.0 9.3.0 12.5.2 9.3.0 9.3.0 9.3.0 9.3.0 9.3.0 12.5.2 9.3.0 9.3.0 9.3.0
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) 7242 32 32768 True 2,515 ± 465 / 785 ± 247 2.75 2.63 3.03 2.58 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 65.24 ± 1.45 / 19.37 ± 1.48 59.88 ± 2.64 / 69.41 ± 2.10 59.51 ± 3.33 / 71.02 ± 2.26 16.86 ± 4.05 / 34.77 ± 3.07 47.26 ± 3.76 / 40.22 ± 3.43 59.35 ± 2.82 / 45.26 ± 3.91 54.93 ± 3.49 / 68.45 ± 2.61 64.25 ± 0.86 / 16.92 ± 1.27 9.00 ± 2.87 / 37.53 ± 2.91 5.26 ± 3.15 / 39.01 ± 3.54 45.95 ± 3.12 / 68.00 ± 3.07 21.89 ± 2.60 / 39.61 ± 2.11 15.32 ± 3.65 / 34.57 ± 2.40 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 66.41 ± 0.46 / 21.90 ± 0.70 31.24 ± 3.01 / 47.77 ± 2.19 22.30 ± 3.50 / 39.45 ± 2.60 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 2.76 2.70 3.08 2.49 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 65.43 ± 1.12 / 20.36 ± 0.95 50.76 ± 1.75 / 62.66 ± 1.43 50.82 ± 1.17 / 66.66 ± 0.76 14.47 ± 2.35 / 34.86 ± 1.97 48.97 ± 2.42 / 39.15 ± 2.78 51.52 ± 2.96 / 40.17 ± 3.62 49.05 ± 2.73 / 63.94 ± 2.42 63.32 ± 1.58 / 16.33 ± 1.63 14.37 ± 2.18 / 47.80 ± 4.36 9.96 ± 1.34 / 48.97 ± 3.77 44.07 ± 3.40 / 68.49 ± 2.97 25.07 ± 1.48 / 43.13 ± 1.15 15.56 ± 3.55 / 35.85 ± 2.56 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 65.15 ± 0.31 / 18.72 ± 0.57 33.24 ± 0.85 / 49.69 ± 0.67 25.50 ± 2.25 / 43.44 ± 2.03 12.5.3 12.5.3 12.5.3 12.5.3 12.6.1 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 2.81 2.62 3.13 2.69 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 66.30 ± 1.02 / 21.99 ± 1.01 53.67 ± 1.74 / 64.67 ± 1.45 54.52 ± 2.51 / 68.59 ± 1.76 20.51 ± 2.03 / 39.10 ± 1.86 50.63 ± 2.12 / 44.59 ± 1.80 52.69 ± 2.30 / 46.51 ± 3.63 44.05 ± 2.51 / 61.80 ± 2.28 63.11 ± 1.66 / 16.14 ± 1.73 11.60 ± 4.10 / 43.01 ± 5.07 9.26 ± 1.14 / 46.28 ± 3.60 45.23 ± 3.73 / 68.68 ± 3.29 28.19 ± 0.84 / 45.83 ± 0.68 13.65 ± 2.51 / 34.00 ± 1.87 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 64.78 ± 0.33 / 19.24 ± 0.42 34.52 ± 1.19 / 50.47 ± 0.93 20.96 ± 1.96 / 39.95 ± 1.66 12.5.2 12.5.1 12.5.1 12.5.1 12.6.1 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 12.5.1 12.5.1 12.5.1 12.5.2 12.5.1 12.5.1 12.5.1 12.5.1 12.5.1 12.5.1
mistralai/Mistral-7B-v0.3 (few-shot) 7248 33 32768 True 4,120 ± 976 / 926 ± 306 2.81 2.60 3.13 2.69 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 66.33 ± 0.98 / 22.03 ± 0.96 53.81 ± 1.88 / 64.81 ± 1.53 61.06 ± 2.83 / 73.89 ± 2.00 20.64 ± 1.95 / 39.21 ± 1.79 50.56 ± 2.04 / 44.38 ± 1.85 52.65 ± 2.27 / 46.48 ± 3.65 44.61 ± 2.28 / 62.22 ± 2.10 63.13 ± 1.63 / 16.19 ± 1.73 12.10 ± 4.22 / 43.27 ± 5.24 9.30 ± 0.99 / 46.11 ± 3.47 45.15 ± 3.72 / 68.61 ± 3.30 28.31 ± 1.01 / 45.93 ± 0.80 13.59 ± 2.44 / 33.95 ± 1.83 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 64.79 ± 0.32 / 19.30 ± 0.42 34.51 ± 1.13 / 50.46 ± 0.88 20.84 ± 2.19 / 39.88 ± 1.85 12.10.4 12.10.4 12.10.4 12.10.4 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 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4
Mabeck/Heidrun-Mistral-7B-base (few-shot) 7242 32 32768 True 3,823 ± 967 / 860 ± 280 2.82 2.59 3.17 2.70 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 67.06 ± 1.05 / 23.60 ± 0.84 60.78 ± 1.64 / 69.96 ± 1.28 61.29 ± 2.78 / 73.50 ± 1.95 16.26 ± 1.96 / 35.70 ± 1.73 50.10 ± 2.16 / 41.80 ± 2.77 54.81 ± 1.88 / 45.95 ± 3.21 48.64 ± 2.14 / 66.06 ± 1.47 62.29 ± 1.37 / 14.65 ± 1.36 10.31 ± 3.46 / 43.68 ± 5.10 1.11 ± 2.48 / 36.52 ± 2.31 42.20 ± 3.02 / 65.18 ± 2.86 27.39 ± 0.85 / 45.60 ± 0.64 11.76 ± 2.46 / 32.87 ± 2.13 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 63.81 ± 0.34 / 18.13 ± 0.31 31.72 ± 0.55 / 48.70 ± 0.45 15.69 ± 2.43 / 35.96 ± 2.03 11.0.0 11.0.0 11.0.0 11.0.0 12.6.1 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 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0
ibm-granite/granite-3.0-8b-instruct (few-shot) 8171 49 4096 True 5,090 ± 937 / 1,423 ± 466 2.83 2.73 3.03 2.72 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 66.02 ± 0.75 / 20.91 ± 0.70 33.71 ± 1.69 / 49.70 ± 1.24 43.55 ± 3.67 / 62.50 ± 2.36 21.34 ± 1.27 / 39.77 ± 1.09 53.79 ± 1.52 / 46.58 ± 1.73 56.13 ± 0.91 / 47.13 ± 2.04 51.36 ± 2.53 / 66.19 ± 2.08 62.40 ± 1.11 / 13.68 ± 1.61 6.83 ± 2.54 / 38.36 ± 3.81 8.09 ± 2.03 / 41.05 ± 4.14 48.01 ± 2.52 / 73.03 ± 1.99 24.55 ± 0.94 / 42.12 ± 0.85 26.71 ± 1.68 / 44.15 ± 1.46 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 65.09 ± 0.37 / 19.37 ± 0.37 26.57 ± 1.18 / 44.19 ± 0.95 24.62 ± 2.11 / 42.11 ± 1.50 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mhenrichsen/hestenettetLM (few-shot) 7242 32 32768 True 5,160 ± 804 / 1,654 ± 516 2.83 2.71 3.08 2.69 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 66.48 ± 0.99 / 22.13 ± 1.09 52.83 ± 1.98 / 64.27 ± 1.66 57.96 ± 2.76 / 71.31 ± 1.89 18.11 ± 3.15 / 37.65 ± 2.44 52.52 ± 1.85 / 43.46 ± 2.21 55.60 ± 3.22 / 45.25 ± 4.20 48.23 ± 3.31 / 65.51 ± 3.01 63.53 ± 1.47 / 16.54 ± 1.59 8.53 ± 3.72 / 38.61 ± 3.22 6.65 ± 1.40 / 39.32 ± 2.51 46.89 ± 3.29 / 70.96 ± 2.84 27.67 ± 0.91 / 45.77 ± 0.66 14.20 ± 3.45 / 34.89 ± 2.57 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 64.89 ± 0.28 / 19.31 ± 0.40 35.48 ± 0.99 / 51.54 ± 0.72 20.54 ± 2.14 / 39.66 ± 1.80 12.5.2 12.3.2 12.3.2 12.3.2 12.6.1 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 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2
bineric/NorskGPT-Llama-13B-v0.1 (few-shot) unknown 32 4096 False 2,856 ± 645 / 709 ± 243 2.84 2.74 2.98 2.81 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 66.63 ± 0.92 / 21.44 ± 0.80 59.51 ± 1.28 / 69.11 ± 1.02 50.89 ± 1.72 / 67.29 ± 1.12 25.32 ± 1.41 / 43.22 ± 1.13 56.72 ± 1.90 / 43.75 ± 2.72 57.62 ± 1.35 / 43.81 ± 2.43 48.86 ± 2.54 / 64.32 ± 2.46 64.86 ± 0.32 / 16.84 ± 0.69 9.87 ± 1.78 / 44.29 ± 3.62 6.90 ± 1.65 / 48.96 ± 3.09 41.27 ± 3.42 / 69.36 ± 3.54 24.51 ± 1.23 / 42.96 ± 0.98 31.41 ± 1.81 / 47.68 ± 1.36 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 65.99 ± 0.07 / 19.57 ± 0.17 25.56 ± 0.86 / 43.67 ± 0.64 28.26 ± 1.97 / 45.89 ± 1.42 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 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
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 2.84 2.71 3.13 2.69 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 66.47 ± 1.00 / 22.11 ± 1.08 53.26 ± 1.94 / 64.50 ± 1.68 58.26 ± 2.62 / 71.56 ± 1.79 18.53 ± 2.03 / 37.79 ± 1.68 52.00 ± 1.91 / 43.55 ± 2.21 55.12 ± 3.14 / 45.34 ± 4.15 47.25 ± 4.11 / 64.53 ± 3.71 63.49 ± 1.49 / 16.48 ± 1.62 8.66 ± 4.12 / 38.87 ± 3.40 6.80 ± 1.59 / 39.72 ± 2.50 46.86 ± 3.27 / 70.86 ± 2.79 27.78 ± 1.08 / 45.76 ± 0.79 10.88 ± 3.63 / 32.43 ± 2.67 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 64.87 ± 0.31 / 19.30 ± 0.43 35.52 ± 1.01 / 51.52 ± 0.73 19.67 ± 2.31 / 38.98 ± 1.98 0.0.0 0.0.0 0.0.0 12.5.1 12.6.1 10.0.1 10.0.1 9.1.2 0.0.0 0.0.0 0.0.0 11.0.0 0.0.0 0.0.0 12.5.1 9.1.2 9.1.2 0.0.0 0.0.0 0.0.0 12.5.1 11.0.0 9.1.2 9.1.2
danish-foundation-models/munin-7b-alpha (few-shot) 7242 32 32768 True 6,116 ± 1,049 / 1,784 ± 577 2.85 2.48 3.32 2.76 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 67.27 ± 1.15 / 23.82 ± 0.97 77.63 ± 1.33 / 83.01 ± 1.00 67.83 ± 1.25 / 77.91 ± 0.89 25.16 ± 2.44 / 42.68 ± 2.10 48.89 ± 3.42 / 35.46 ± 2.58 51.95 ± 1.59 / 36.45 ± 2.57 20.54 ± 6.01 / 36.30 ± 6.77 63.67 ± 1.16 / 15.98 ± 1.26 4.39 ± 3.94 / 35.23 ± 2.81 1.20 ± 1.64 / 34.54 ± 1.31 47.16 ± 4.15 / 70.08 ± 3.96 29.07 ± 1.15 / 46.18 ± 0.96 19.15 ± 4.16 / 38.37 ± 3.10 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 62.78 ± 0.76 / 16.74 ± 0.45 30.86 ± 1.12 / 47.83 ± 0.93 19.11 ± 2.74 / 38.55 ± 2.29 12.5.2 12.4.0 12.4.0 12.4.0 12.6.1 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 12.4.0 12.4.0 12.4.0 12.5.2 12.4.0 12.4.0 12.4.0 12.4.0 12.4.0 12.4.0
meta-llama/Llama-2-13b-chat-hf (few-shot) 13016 32 4096 True 2,849 ± 622 / 723 ± 229 2.85 2.69 3.13 2.74 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 66.88 ± 0.98 / 21.84 ± 1.04 45.21 ± 1.90 / 57.54 ± 1.55 51.06 ± 2.13 / 67.44 ± 1.41 16.50 ± 1.48 / 36.77 ± 1.21 57.21 ± 1.51 / 40.40 ± 2.79 59.62 ± 1.34 / 41.07 ± 2.58 38.93 ± 3.56 / 57.45 ± 3.77 65.12 ± 0.35 / 17.27 ± 0.70 8.65 ± 3.33 / 47.18 ± 3.98 5.92 ± 1.58 / 47.50 ± 3.58 42.32 ± 2.80 / 69.24 ± 2.68 23.88 ± 1.01 / 42.37 ± 0.80 22.33 ± 1.67 / 41.00 ± 1.40 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 66.25 ± 0.10 / 19.64 ± 0.19 24.40 ± 1.20 / 42.73 ± 0.90 19.30 ± 1.27 / 38.75 ± 1.05 12.10.5 12.10.4 12.10.4 12.11.0 12.11.0 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.11.0 12.10.4 12.10.4 12.11.0 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4 12.11.0 12.11.0 12.10.4 12.10.4
CohereForAI/aya-23-8B (few-shot) 8028 256 8192 False 5,608 ± 1,062 / 1,472 ± 479 2.89 2.72 3.20 2.75 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 65.03 ± 0.98 / 20.21 ± 0.77 36.64 ± 1.30 / 49.92 ± 1.19 39.24 ± 1.63 / 59.45 ± 1.09 27.29 ± 1.22 / 45.01 ± 0.99 60.94 ± 2.30 / 53.33 ± 3.53 59.61 ± 1.37 / 50.84 ± 3.99 35.73 ± 1.26 / 50.42 ± 1.67 62.45 ± 1.72 / 15.67 ± 1.26 6.18 ± 1.69 / 35.40 ± 1.06 4.00 ± 1.01 / 36.17 ± 0.94 46.52 ± 2.15 / 71.95 ± 1.63 20.14 ± 1.32 / 38.69 ± 0.99 27.50 ± 1.61 / 44.60 ± 1.39 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 63.00 ± 0.55 / 18.11 ± 0.35 20.97 ± 0.82 / 39.72 ± 0.64 28.96 ± 2.18 / 46.32 ± 1.64 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.89 2.69 3.20 2.79 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 66.84 ± 0.77 / 21.21 ± 1.08 51.60 ± 1.33 / 63.50 ± 1.03 35.85 ± 2.68 / 52.62 ± 2.08 22.21 ± 1.60 / 40.78 ± 1.32 53.42 ± 2.48 / 42.63 ± 1.66 54.34 ± 1.93 / 41.06 ± 2.40 38.79 ± 2.56 / 53.72 ± 3.01 64.43 ± 0.45 / 16.11 ± 0.97 17.06 ± 1.53 / 56.51 ± 2.06 11.00 ± 1.00 / 53.26 ± 2.32 35.74 ± 2.44 / 64.27 ± 2.42 20.37 ± 1.34 / 39.32 ± 1.03 21.16 ± 2.07 / 39.85 ± 1.73 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 66.11 ± 0.18 / 19.64 ± 0.28 25.60 ± 1.10 / 43.53 ± 0.90 21.75 ± 1.61 / 40.57 ± 1.45 9.2.0 9.2.0 9.3.1 12.4.0 12.6.1 10.0.1 10.0.1 9.3.2 9.2.0 9.2.0 9.2.0 12.4.0 9.3.1 9.3.1 12.4.0 9.3.2 9.3.2 9.2.0 9.2.0 9.3.1 12.4.0 12.4.0 9.3.2 9.3.2
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4096 False 3,254 ± 1,068 / 484 ± 173 2.90 2.72 3.13 2.86 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 67.46 ± 0.28 / 22.85 ± 0.60 52.94 ± 1.40 / 64.04 ± 1.18 41.65 ± 1.43 / 59.92 ± 0.88 17.57 ± 1.83 / 37.68 ± 1.55 58.61 ± 1.58 / 47.74 ± 2.83 60.40 ± 1.25 / 47.53 ± 2.68 41.36 ± 3.50 / 58.47 ± 3.79 65.33 ± 0.44 / 18.70 ± 0.55 6.52 ± 2.11 / 38.10 ± 2.56 3.95 ± 2.52 / 42.37 ± 4.20 38.93 ± 2.43 / 65.76 ± 3.07 23.32 ± 0.89 / 42.01 ± 0.76 22.30 ± 1.43 / 41.29 ± 1.19 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 65.20 ± 0.45 / 19.06 ± 0.15 23.92 ± 0.88 / 42.25 ± 0.73 17.67 ± 1.53 / 37.32 ± 1.20 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 11.0.0 11.0.0 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 9.3.1 9.3.1 9.3.1
meta-llama/Llama-2-13b-hf (few-shot) 13016 32 4096 True 2,898 ± 637 / 736 ± 236 2.91 2.84 3.24 2.64 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 66.28 ± 1.20 / 21.69 ± 1.21 50.30 ± 2.37 / 61.85 ± 1.93 56.24 ± 2.29 / 70.27 ± 1.64 15.43 ± 0.95 / 35.31 ± 0.71 51.12 ± 3.13 / 47.26 ± 2.62 55.35 ± 1.60 / 49.99 ± 2.21 23.75 ± 3.25 / 42.92 ± 4.45 64.56 ± 1.30 / 18.13 ± 1.51 14.00 ± 4.25 / 42.71 ± 5.83 7.61 ± 2.57 / 45.86 ± 3.96 49.24 ± 4.28 / 72.68 ± 3.66 23.60 ± 1.05 / 42.20 ± 0.80 16.55 ± 2.83 / 35.97 ± 1.94 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 64.59 ± 0.34 / 18.56 ± 0.39 25.51 ± 0.81 / 43.68 ± 0.60 14.97 ± 1.73 / 34.85 ± 1.34 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.5 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4
google/gemma-2-2b-it (few-shot) 2614 256 8193 True 5,374 ± 1,233 / 1,193 ± 377 2.92 2.74 3.19 2.83 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 66.73 ± 1.01 / 21.91 ± 1.06 52.85 ± 1.36 / 63.72 ± 1.12 52.74 ± 1.77 / 68.55 ± 1.20 29.94 ± 1.28 / 47.03 ± 1.01 35.56 ± 1.33 / 28.84 ± 2.19 37.70 ± 3.04 / 30.22 ± 2.39 46.84 ± 2.20 / 63.22 ± 1.89 64.58 ± 0.33 / 17.00 ± 0.45 17.15 ± 2.01 / 55.59 ± 2.04 14.38 ± 1.96 / 54.95 ± 1.73 29.75 ± 1.52 / 63.79 ± 1.50 23.02 ± 1.05 / 41.85 ± 0.86 33.13 ± 1.06 / 49.47 ± 0.83 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 65.16 ± 0.13 / 18.88 ± 0.13 27.00 ± 0.89 / 44.95 ± 0.72 31.43 ± 1.21 / 47.99 ± 0.85 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 3.00 2.91 3.07 3.01 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 66.02 ± 0.52 / 19.78 ± 0.57 47.16 ± 1.82 / 59.60 ± 1.51 38.28 ± 1.21 / 58.13 ± 0.76 22.27 ± 1.19 / 41.07 ± 1.07 56.18 ± 3.05 / 49.39 ± 2.78 56.96 ± 1.64 / 48.30 ± 5.46 50.94 ± 1.41 / 66.55 ± 1.06 64.21 ± 0.23 / 15.54 ± 0.49 8.19 ± 1.95 / 45.17 ± 3.69 5.55 ± 1.71 / 48.92 ± 2.94 41.35 ± 2.33 / 69.72 ± 2.52 21.27 ± 1.03 / 40.69 ± 0.82 26.81 ± 1.72 / 44.27 ± 1.46 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 63.73 ± 0.18 / 15.64 ± 0.27 20.96 ± 0.77 / 40.70 ± 0.59 25.76 ± 1.39 / 43.71 ± 1.09 12.5.2 12.3.2 12.3.2 12.3.2 12.6.1 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 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2
meta-llama/Llama-3.2-3B-Instruct (few-shot) 3213 128 131073 False 10,424 ± 2,641 / 2,081 ± 666 3.01 2.85 3.37 2.81 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 65.19 ± 0.78 / 18.34 ± 1.22 49.78 ± 1.52 / 62.29 ± 1.14 45.88 ± 2.43 / 63.96 ± 1.59 21.89 ± 1.77 / 41.16 ± 1.43 49.66 ± 1.79 / 39.31 ± 2.55 51.98 ± 1.55 / 42.48 ± 3.10 44.13 ± 2.80 / 60.09 ± 3.10 60.50 ± 0.73 / 10.91 ± 0.62 0.67 ± 1.18 / 33.81 ± 0.33 1.11 ± 0.93 / 33.03 ± 0.39 28.62 ± 4.16 / 56.91 ± 4.14 26.82 ± 1.08 / 45.32 ± 0.84 20.98 ± 1.40 / 40.34 ± 1.17 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 64.98 ± 0.47 / 17.53 ± 0.50 29.44 ± 0.61 / 47.21 ± 0.47 22.42 ± 1.89 / 41.45 ± 1.49 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 3.01 2.89 3.25 2.88 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 66.68 ± 0.81 / 22.38 ± 0.71 44.30 ± 2.46 / 57.00 ± 2.30 48.76 ± 2.39 / 65.51 ± 1.72 15.44 ± 1.66 / 35.82 ± 1.14 45.50 ± 2.71 / 40.02 ± 3.16 45.96 ± 2.67 / 41.28 ± 2.25 44.46 ± 3.40 / 62.00 ± 2.71 63.95 ± 0.42 / 16.91 ± 0.61 0.00 ± 0.00 / 33.41 ± 0.30 0.00 ± 0.00 / 33.86 ± 0.33 52.19 ± 2.88 / 74.97 ± 2.11 20.61 ± 1.27 / 39.79 ± 1.10 16.18 ± 1.88 / 36.19 ± 1.66 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 65.07 ± 0.34 / 19.59 ± 0.38 25.52 ± 1.30 / 43.68 ± 1.03 14.06 ± 1.68 / 35.12 ± 1.47 12.5.2 12.2.0 12.3.1 12.4.0 12.6.1 12.3.1 12.3.1 12.3.1 12.5.2 12.5.2 12.2.0 12.4.0 12.3.1 12.3.1 12.4.0 12.3.1 12.3.1 12.5.2 12.2.0 12.3.1 12.4.0 12.4.0 12.3.1 12.3.1
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) 7242 32 32768 False 2,518 ± 463 / 779 ± 243 3.03 2.76 3.40 2.94 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 65.65 ± 0.82 / 18.78 ± 0.80 41.77 ± 1.71 / 55.65 ± 1.27 35.86 ± 2.28 / 52.48 ± 1.70 11.59 ± 1.75 / 32.81 ± 1.55 57.01 ± 1.93 / 44.65 ± 2.87 56.77 ± 0.98 / 41.67 ± 3.53 38.81 ± 2.67 / 56.39 ± 3.13 62.13 ± 0.30 / 12.18 ± 0.45 14.16 ± 2.24 / 54.43 ± 2.61 9.29 ± 2.65 / 50.59 ± 3.99 32.75 ± 1.68 / 59.21 ± 2.11 17.08 ± 1.29 / 37.00 ± 1.04 10.52 ± 2.25 / 31.85 ± 1.79 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 64.90 ± 0.14 / 16.99 ± 0.20 22.36 ± 1.17 / 41.14 ± 0.78 12.52 ± 1.41 / 33.90 ± 1.11 9.2.0 9.2.0 9.2.0 12.4.0 12.6.1 10.0.1 10.0.1 9.2.0 9.2.0 9.2.0 9.2.0 12.4.0 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 12.4.0 9.2.0 9.2.0
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 3.04 2.89 3.28 2.95 37.93 ± 2.71 / 23.54 ± 1.99 44.49 ± 2.56 / 60.64 ± 3.00 14.09 ± 2.94 / 42.43 ± 3.30 51.38 ± 2.31 / 58.78 ± 1.27 65.80 ± 0.93 / 19.91 ± 1.41 45.07 ± 1.34 / 58.18 ± 1.03 35.36 ± 2.19 / 55.82 ± 1.48 14.85 ± 1.19 / 35.26 ± 1.24 50.08 ± 1.54 / 34.52 ± 1.17 51.27 ± 1.52 / 33.37 ± 2.37 43.65 ± 1.98 / 60.88 ± 1.36 62.39 ± 0.76 / 14.24 ± 0.81 14.09 ± 2.85 / 44.91 ± 3.95 8.28 ± 1.82 / 47.22 ± 3.72 37.23 ± 3.15 / 63.67 ± 2.98 20.44 ± 1.03 / 39.51 ± 0.72 15.87 ± 1.29 / 35.89 ± 1.06 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 63.10 ± 0.60 / 18.05 ± 0.36 24.03 ± 1.09 / 42.32 ± 0.70 15.37 ± 0.71 / 35.78 ± 0.69 9.3.1 9.3.1 9.3.1 12.4.0 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 9.3.1 9.3.1 12.4.0 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 12.4.0 9.3.1 9.3.1
meta-llama/Llama-3.2-3B (few-shot) 3213 128 131073 True 3,713 ± 877 / 836 ± 267 3.07 2.97 3.37 2.87 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 63.35 ± 0.50 / 15.11 ± 0.93 45.46 ± 1.79 / 57.79 ± 1.31 46.77 ± 2.98 / 64.61 ± 1.98 12.19 ± 0.97 / 33.27 ± 0.89 49.57 ± 2.20 / 37.13 ± 2.52 52.13 ± 3.94 / 38.26 ± 3.77 39.96 ± 2.25 / 58.34 ± 1.66 58.99 ± 1.85 / 11.04 ± 1.25 3.20 ± 3.84 / 37.62 ± 4.94 3.72 ± 3.66 / 38.51 ± 4.61 45.54 ± 3.50 / 68.67 ± 2.58 21.88 ± 1.21 / 40.31 ± 1.01 14.24 ± 1.99 / 33.82 ± 1.72 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 62.73 ± 0.74 / 17.61 ± 0.49 27.05 ± 1.14 / 44.68 ± 0.87 13.30 ± 1.20 / 33.89 ± 1.04 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 3.07 2.97 3.34 2.91 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 66.05 ± 1.13 / 21.82 ± 0.96 38.54 ± 1.47 / 53.57 ± 1.26 45.89 ± 3.00 / 63.14 ± 1.98 12.38 ± 1.99 / 33.54 ± 1.61 45.28 ± 3.06 / 41.73 ± 2.14 46.00 ± 4.26 / 42.96 ± 3.38 44.95 ± 3.19 / 61.88 ± 2.88 63.26 ± 1.07 / 16.04 ± 1.34 0.00 ± 0.00 / 33.41 ± 0.30 0.00 ± 0.00 / 33.86 ± 0.33 43.88 ± 4.07 / 66.65 ± 4.20 20.87 ± 1.54 / 39.98 ± 1.27 13.10 ± 2.04 / 34.20 ± 1.55 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 64.42 ± 0.45 / 18.79 ± 0.47 23.68 ± 1.41 / 42.15 ± 1.14 14.05 ± 1.60 / 34.81 ± 1.58 12.5.2 12.1.0 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.2.0 12.5.2 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.2.0 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.2.0
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) 8030 128 131072 True 2,841 ± 509 / 865 ± 263 3.08 2.94 3.40 2.90 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 63.45 ± 1.07 / 17.77 ± 1.01 38.31 ± 1.15 / 53.54 ± 0.91 46.65 ± 1.64 / 63.48 ± 1.21 28.92 ± 3.15 / 44.79 ± 3.01 35.54 ± 2.35 / 35.62 ± 2.50 36.61 ± 1.95 / 37.38 ± 1.88 32.18 ± 6.27 / 50.19 ± 5.62 60.89 ± 1.28 / 14.01 ± 1.12 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 43.47 ± 3.30 / 68.45 ± 2.93 24.47 ± 1.07 / 42.42 ± 0.90 33.51 ± 2.81 / 48.18 ± 2.72 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 63.82 ± 0.35 / 18.33 ± 0.43 26.73 ± 0.72 / 44.29 ± 0.56 21.33 ± 4.54 / 37.89 ± 3.66 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 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
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 3.18 2.96 3.48 3.09 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 66.15 ± 0.67 / 19.69 ± 0.94 32.17 ± 2.28 / 46.67 ± 1.92 35.74 ± 2.46 / 55.18 ± 1.81 11.32 ± 0.41 / 32.24 ± 0.79 44.99 ± 2.49 / 38.59 ± 2.84 49.09 ± 1.90 / 39.09 ± 4.02 41.56 ± 3.37 / 57.09 ± 3.80 63.59 ± 0.40 / 14.15 ± 0.70 3.04 ± 2.84 / 36.81 ± 2.42 4.03 ± 2.49 / 40.55 ± 4.14 33.77 ± 2.11 / 61.99 ± 2.34 14.81 ± 0.79 / 34.79 ± 0.63 12.69 ± 0.77 / 31.84 ± 1.05 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 65.92 ± 0.05 / 18.51 ± 0.18 17.73 ± 0.98 / 37.55 ± 0.69 12.85 ± 0.93 / 33.37 ± 0.90 9.3.1 9.3.1 9.3.1 12.4.0 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 9.3.1 9.3.1 12.4.0 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 12.4.0 9.3.1 9.3.1
google/gemma-7b-it (few-shot) 8538 256 8192 False 1,792 ± 249 / 668 ± 203 3.19 3.03 3.25 3.28 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 65.36 ± 1.08 / 19.65 ± 1.01 41.30 ± 1.79 / 54.09 ± 1.68 31.26 ± 2.75 / 52.68 ± 2.10 15.02 ± 1.01 / 34.38 ± 0.79 59.77 ± 2.77 / 56.12 ± 2.72 60.98 ± 2.01 / 57.99 ± 1.31 28.14 ± 1.90 / 49.76 ± 1.59 60.86 ± 1.60 / 13.66 ± 0.51 14.01 ± 2.15 / 56.43 ± 1.08 10.15 ± 1.06 / 54.56 ± 0.71 51.08 ± 2.83 / 74.34 ± 1.55 19.07 ± 1.42 / 37.82 ± 1.42 16.52 ± 1.25 / 35.24 ± 1.25 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 63.88 ± 0.30 / 18.58 ± 0.16 17.95 ± 1.18 / 36.41 ± 1.02 13.55 ± 1.32 / 33.39 ± 1.32 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.10.0 12.10.0 12.10.0 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 12.10.0 12.10.0 12.10.0
ibm-granite/granite-3.0-2b-instruct (few-shot) 2634 49 4097 True 10,194 ± 2,403 / 2,193 ± 731 3.19 3.08 3.38 3.12 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 64.86 ± 0.75 / 19.26 ± 0.79 29.55 ± 1.68 / 46.85 ± 1.40 26.20 ± 2.23 / 51.29 ± 1.34 3.64 ± 0.91 / 27.01 ± 0.69 52.68 ± 2.02 / 46.01 ± 1.94 53.17 ± 0.85 / 47.77 ± 2.12 39.87 ± 1.73 / 55.71 ± 2.40 62.24 ± 0.54 / 14.11 ± 0.65 12.08 ± 2.13 / 51.41 ± 4.09 7.18 ± 2.00 / 48.84 ± 3.17 36.00 ± 2.29 / 61.00 ± 2.15 15.78 ± 1.22 / 36.32 ± 0.86 9.98 ± 1.73 / 31.35 ± 1.65 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 61.56 ± 0.78 / 17.51 ± 0.44 18.14 ± 1.00 / 38.28 ± 0.77 6.77 ± 1.16 / 28.93 ± 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 13.0.0 13.0.0 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-8b-code-base-4k (few-shot) 8055 49 4096 True 2,313 ± 423 / 682 ± 210 3.19 3.09 3.40 3.07 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 63.93 ± 0.79 / 17.49 ± 0.73 33.11 ± 2.59 / 49.31 ± 2.03 18.96 ± 2.16 / 46.29 ± 1.39 9.03 ± 1.28 / 31.42 ± 1.04 68.40 ± 1.16 / 62.53 ± 1.69 65.15 ± 0.79 / 60.39 ± 2.11 42.00 ± 1.78 / 59.90 ± 1.22 61.27 ± 0.80 / 13.34 ± 0.66 5.20 ± 2.23 / 36.33 ± 1.30 3.32 ± 2.02 / 37.81 ± 3.26 37.51 ± 2.58 / 60.94 ± 3.06 12.42 ± 1.42 / 34.82 ± 0.98 8.32 ± 0.78 / 30.87 ± 0.75 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 62.61 ± 0.55 / 17.92 ± 0.33 14.34 ± 0.73 / 35.93 ± 0.55 7.40 ± 1.39 / 30.20 ± 1.23 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) 7242 32 32768 False 5,172 ± 813 / 1,647 ± 518 3.19 3.01 3.74 2.81 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 64.46 ± 0.75 / 14.29 ± 0.40 47.26 ± 2.07 / 60.38 ± 1.55 49.54 ± 1.64 / 66.15 ± 1.06 9.02 ± 1.22 / 30.79 ± 0.64 50.34 ± 3.17 / 45.09 ± 2.65 52.06 ± 2.41 / 46.88 ± 2.39 32.19 ± 2.52 / 43.19 ± 4.63 58.71 ± 4.08 / 11.81 ± 0.96 -0.22 ± 0.43 / 33.41 ± 0.30 0.00 ± 0.00 / 33.86 ± 0.33 20.57 ± 0.64 / 40.19 ± 1.13 22.27 ± 1.22 / 41.36 ± 0.93 11.71 ± 1.56 / 32.80 ± 1.22 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 62.56 ± 0.85 / 15.85 ± 0.34 30.87 ± 1.35 / 47.77 ± 1.01 15.79 ± 1.57 / 35.66 ± 0.84 12.5.2 12.3.2 12.3.2 12.4.0 12.6.1 12.3.2 12.3.2 12.3.2 12.5.2 12.5.2 12.3.2 12.4.0 12.3.2 12.3.2 12.4.0 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.4.0 12.4.0 12.3.2 12.3.2
01-ai/Yi-1.5-6B (few-shot) 6061 64 4097 True 2,867 ± 550 / 793 ± 253 3.20 3.28 3.43 2.89 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 64.28 ± 0.93 / 18.81 ± 0.83 46.17 ± 1.83 / 59.04 ± 1.44 36.46 ± 2.46 / 57.64 ± 1.59 18.01 ± 1.66 / 38.12 ± 1.37 46.02 ± 2.12 / 35.05 ± 2.84 48.72 ± 1.76 / 35.97 ± 2.78 27.86 ± 0.76 / 31.62 ± 0.80 60.92 ± 1.45 / 13.73 ± 1.28 2.41 ± 1.92 / 35.60 ± 2.65 2.50 ± 2.05 / 34.90 ± 1.27 44.70 ± 3.79 / 67.06 ± 2.85 23.93 ± 1.18 / 42.87 ± 0.91 22.39 ± 1.04 / 41.71 ± 0.79 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 63.18 ± 0.45 / 17.62 ± 0.51 26.05 ± 0.80 / 44.56 ± 0.62 27.09 ± 1.66 / 44.95 ± 1.30 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
microsoft/Phi-3-mini-4k-instruct (few-shot) 3821 32 4096 True 5,224 ± 1,371 / 1,063 ± 358 3.20 3.03 3.45 3.12 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 64.55 ± 0.78 / 19.26 ± 0.48 38.64 ± 1.52 / 53.92 ± 1.16 42.12 ± 2.16 / 61.23 ± 1.46 13.66 ± 1.32 / 35.16 ± 1.02 56.33 ± 1.63 / 36.68 ± 3.27 54.68 ± 1.29 / 37.85 ± 3.79 37.18 ± 1.30 / 55.44 ± 1.46 61.44 ± 0.71 / 13.62 ± 0.60 6.76 ± 2.81 / 41.69 ± 2.82 6.79 ± 1.51 / 45.45 ± 3.51 30.11 ± 2.09 / 52.56 ± 2.38 15.54 ± 0.89 / 36.69 ± 0.67 17.55 ± 0.88 / 37.93 ± 0.71 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 59.20 ± 0.99 / 15.57 ± 0.62 21.33 ± 1.03 / 41.04 ± 0.78 16.12 ± 1.15 / 36.99 ± 0.85 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) 3821 32 4096 False 1,360 ± 179 / 566 ± 190 3.22 2.99 3.51 3.16 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 65.29 ± 0.58 / 20.29 ± 0.54 35.28 ± 1.37 / 51.43 ± 1.04 41.62 ± 2.04 / 60.84 ± 1.39 11.81 ± 1.05 / 33.65 ± 0.84 56.41 ± 2.05 / 37.55 ± 3.57 53.95 ± 1.23 / 38.44 ± 4.85 42.27 ± 1.52 / 56.76 ± 2.10 60.58 ± 0.98 / 12.77 ± 0.70 0.00 ± 0.00 / 33.41 ± 0.30 0.21 ± 1.00 / 34.08 ± 0.56 29.35 ± 1.40 / 53.48 ± 2.01 18.57 ± 0.90 / 39.13 ± 0.69 13.36 ± 1.66 / 34.70 ± 1.32 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 56.14 ± 0.47 / 11.16 ± 0.37 23.29 ± 1.03 / 42.63 ± 0.76 12.06 ± 1.23 / 33.77 ± 0.99 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 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
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 3.23 3.05 3.51 3.14 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 63.22 ± 1.14 / 16.73 ± 1.50 37.79 ± 1.24 / 52.64 ± 0.99 29.62 ± 1.33 / 52.29 ± 1.02 16.87 ± 1.18 / 37.41 ± 0.90 44.83 ± 1.58 / 40.11 ± 2.00 46.29 ± 1.65 / 41.63 ± 3.45 32.70 ± 1.59 / 45.73 ± 2.82 60.53 ± 1.97 / 12.86 ± 1.03 3.57 ± 1.55 / 37.05 ± 2.34 1.61 ± 2.11 / 37.85 ± 3.99 42.55 ± 3.36 / 67.11 ± 2.50 17.00 ± 1.21 / 37.67 ± 0.96 16.18 ± 1.00 / 36.91 ± 0.64 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 61.90 ± 0.87 / 17.34 ± 0.52 20.95 ± 0.97 / 40.87 ± 0.76 16.59 ± 1.45 / 36.76 ± 1.20 12.5.2 10.0.1 12.1.0 12.5.2 12.6.1 12.1.0 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 12.1.0 12.1.0 12.5.2 10.0.1 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 3.23 3.15 3.54 3.00 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 65.50 ± 0.82 / 19.96 ± 0.95 20.18 ± 1.80 / 38.69 ± 1.57 35.69 ± 2.31 / 57.05 ± 1.60 7.93 ± 1.49 / 29.76 ± 0.92 42.13 ± 3.82 / 37.17 ± 3.44 43.80 ± 2.85 / 37.48 ± 4.00 41.74 ± 2.25 / 57.91 ± 2.82 62.30 ± 1.81 / 14.85 ± 1.88 0.00 ± 0.00 / 33.41 ± 0.30 0.02 ± 0.04 / 33.88 ± 0.35 44.19 ± 4.13 / 66.18 ± 4.05 14.48 ± 1.33 / 35.35 ± 0.94 6.49 ± 1.39 / 28.64 ± 0.96 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 64.63 ± 0.39 / 18.68 ± 0.39 15.65 ± 0.55 / 36.32 ± 0.55 8.74 ± 1.34 / 29.87 ± 1.40 9.2.0 9.2.0 9.2.0 12.5.1 12.6.1 10.0.1 10.0.1 9.2.0 9.2.0 9.2.0 9.2.0 11.0.0 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 12.0.0 9.2.0 9.2.0
ibm-granite/granite-8b-code-instruct-4k (few-shot) 8055 49 4096 True 5,617 ± 995 / 1,623 ± 540 3.24 3.15 3.44 3.14 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 63.86 ± 0.96 / 18.38 ± 0.71 32.44 ± 2.29 / 46.63 ± 2.29 7.46 ± 1.83 / 39.41 ± 1.17 5.62 ± 1.16 / 28.71 ± 0.79 66.91 ± 1.50 / 54.98 ± 2.20 62.82 ± 1.23 / 53.14 ± 3.17 40.71 ± 1.63 / 59.35 ± 1.58 60.59 ± 0.99 / 12.74 ± 0.82 9.50 ± 1.68 / 46.31 ± 3.06 6.74 ± 1.70 / 42.10 ± 4.67 32.83 ± 1.83 / 55.30 ± 2.35 11.35 ± 1.23 / 32.01 ± 0.91 6.21 ± 0.99 / 29.05 ± 0.80 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 60.98 ± 0.80 / 16.18 ± 0.48 13.69 ± 0.86 / 33.34 ± 0.46 5.68 ± 1.13 / 27.99 ± 1.11 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 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-6B (few-shot) 6061 64 4096 True 6,435 ± 1,316 / 1,632 ± 549 3.26 3.42 3.41 2.94 35.08 ± 2.24 / 25.02 ± 2.03 4.00 ± 2.43 / 18.67 ± 0.94 3.68 ± 2.25 / 35.69 ± 1.87 55.09 ± 0.79 / 60.88 ± 0.55 64.15 ± 1.03 / 18.95 ± 0.93 34.07 ± 2.13 / 50.17 ± 1.60 33.75 ± 2.28 / 54.22 ± 1.75 13.61 ± 1.51 / 34.38 ± 1.20 43.44 ± 1.89 / 33.41 ± 2.21 46.33 ± 3.12 / 34.05 ± 2.27 38.96 ± 2.34 / 56.27 ± 3.65 61.98 ± 1.45 / 14.38 ± 1.20 0.75 ± 1.07 / 33.42 ± 0.29 1.04 ± 1.93 / 33.14 ± 0.66 40.28 ± 3.58 / 62.78 ± 3.34 23.14 ± 0.98 / 41.88 ± 0.80 16.50 ± 1.60 / 36.98 ± 1.27 46.69 ± 2.39 / 32.97 ± 4.57 75.39 ± 1.06 / 71.95 ± 1.42 2.91 ± 2.80 / 35.26 ± 2.12 54.95 ± 0.86 / 60.77 ± 0.75 62.70 ± 0.76 / 17.52 ± 0.40 25.28 ± 0.72 / 43.71 ± 0.56 19.20 ± 1.18 / 38.76 ± 0.96 9.3.2 10.0.0 10.0.0 12.5.1 12.6.1 10.0.1 10.0.1 10.0.1 9.3.2 9.3.2 10.0.0 12.0.0 10.0.0 10.0.0 12.5.1 10.0.1 10.0.1 9.3.2 10.0.0 10.0.0 12.5.1 12.0.0 10.0.1 10.0.1
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) 7242 32 32768 True 2,461 ± 476 / 773 ± 248 3.26 3.10 3.57 3.10 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 64.24 ± 1.42 / 18.43 ± 1.20 43.57 ± 3.32 / 56.56 ± 2.69 35.60 ± 4.28 / 50.86 ± 3.49 6.76 ± 2.77 / 28.91 ± 2.38 35.98 ± 3.79 / 27.51 ± 2.13 47.39 ± 2.31 / 36.42 ± 2.87 38.98 ± 5.51 / 58.23 ± 4.01 61.99 ± 0.85 / 14.07 ± 0.75 11.54 ± 5.04 / 49.91 ± 3.96 5.20 ± 3.47 / 46.19 ± 5.23 37.54 ± 3.00 / 56.56 ± 2.96 10.40 ± 2.03 / 29.84 ± 1.34 2.52 ± 1.76 / 24.84 ± 1.48 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 64.74 ± 0.74 / 19.59 ± 0.87 15.60 ± 1.96 / 33.16 ± 1.77 9.81 ± 2.55 / 28.12 ± 2.70 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1
NorwAI/NorwAI-Mistral-7B (few-shot) 7537 68 4096 True 3,035 ± 503 / 911 ± 300 3.27 3.05 3.53 3.24 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 66.53 ± 1.15 / 21.82 ± 1.03 36.65 ± 2.42 / 48.70 ± 2.50 49.97 ± 2.70 / 65.62 ± 1.94 5.64 ± 1.49 / 28.33 ± 0.91 21.09 ± 6.44 / 20.45 ± 2.65 26.31 ± 4.64 / 26.42 ± 2.98 49.00 ± 3.88 / 65.98 ± 2.95 63.87 ± 1.60 / 17.88 ± 1.49 7.15 ± 2.14 / 40.83 ± 3.95 7.98 ± 2.64 / 45.21 ± 4.95 47.70 ± 5.32 / 68.04 ± 5.37 5.83 ± 1.04 / 27.83 ± 1.08 5.39 ± 1.69 / 27.82 ± 1.56 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 64.78 ± 0.63 / 18.68 ± 0.51 6.62 ± 0.88 / 27.61 ± 0.74 2.66 ± 1.04 / 26.32 ± 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 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
AI-Sweden-Models/gpt-sw3-40b (few-shot) 39927 64 2048 True 409 ± 53 / 182 ± 54 3.30 3.07 3.66 3.17 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 66.21 ± 1.17 / 21.48 ± 1.27 33.48 ± 3.59 / 46.04 ± 3.05 29.86 ± 1.89 / 49.82 ± 1.71 6.67 ± 1.87 / 29.53 ± 1.25 24.07 ± 5.59 / 19.09 ± 2.55 26.67 ± 6.24 / 21.18 ± 2.80 31.05 ± 7.03 / 45.69 ± 8.29 61.58 ± 2.25 / 15.13 ± 2.44 10.80 ± 1.96 / 52.29 ± 2.55 8.89 ± 2.52 / 47.62 ± 4.31 48.78 ± 3.64 / 71.66 ± 3.34 6.67 ± 1.51 / 28.84 ± 1.19 6.25 ± 1.29 / 29.00 ± 1.15 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 65.16 ± 0.50 / 19.50 ± 0.58 8.35 ± 0.95 / 30.38 ± 0.80 5.74 ± 1.30 / 28.98 ± 1.13 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.1 12.9.1 12.9.1 12.9.0 12.9.0 12.9.0 12.9.1 12.9.0 12.9.0 12.9.0 12.9.1 12.9.1 12.9.0 12.9.0 12.9.0 12.9.0 12.9.1 12.9.1 12.9.1
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 3.34 3.13 3.61 3.29 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 66.09 ± 1.40 / 22.03 ± 1.26 3.53 ± 1.44 / 24.18 ± 1.19 12.86 ± 2.99 / 40.23 ± 2.31 1.29 ± 1.23 / 25.61 ± 0.84 38.82 ± 5.36 / 30.48 ± 1.91 43.28 ± 3.13 / 33.87 ± 3.30 38.05 ± 1.85 / 47.06 ± 3.97 64.04 ± 1.06 / 17.41 ± 1.19 8.45 ± 2.47 / 46.75 ± 3.97 7.50 ± 1.65 / 48.14 ± 4.65 40.47 ± 2.77 / 64.21 ± 2.94 2.60 ± 1.14 / 25.13 ± 0.64 3.83 ± 0.86 / 26.37 ± 0.88 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 61.11 ± 1.02 / 17.57 ± 0.33 1.49 ± 1.11 / 25.90 ± 0.71 3.97 ± 0.92 / 27.45 ± 0.68 12.5.2 12.3.2 12.3.2 12.4.0 12.6.1 12.3.2 12.3.2 12.3.2 12.5.2 12.5.2 12.3.2 12.4.0 12.3.2 12.3.2 12.4.0 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.4.0 12.4.0 12.3.2 12.3.2
ibm-granite/granite-3.0-2b-base (few-shot) 2534 49 4097 True 10,187 ± 2,363 / 2,204 ± 737 3.35 3.28 3.57 3.20 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 64.48 ± 0.83 / 19.25 ± 0.78 24.40 ± 2.55 / 42.44 ± 1.87 31.93 ± 1.90 / 54.43 ± 1.22 10.00 ± 1.73 / 32.31 ± 0.87 43.00 ± 2.81 / 35.39 ± 2.28 45.08 ± 0.83 / 38.16 ± 1.91 35.36 ± 2.31 / 54.88 ± 2.08 62.00 ± 0.62 / 14.22 ± 0.76 2.79 ± 1.92 / 41.90 ± 4.62 1.95 ± 2.02 / 38.91 ± 3.27 37.33 ± 3.11 / 59.74 ± 2.74 15.76 ± 1.18 / 36.68 ± 0.90 12.98 ± 1.32 / 34.07 ± 1.34 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 61.77 ± 1.85 / 17.01 ± 0.69 16.19 ± 1.01 / 37.23 ± 0.78 14.06 ± 1.52 / 34.80 ± 1.35 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 3.35 3.34 3.50 3.21 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 64.64 ± 0.66 / 19.18 ± 0.74 37.45 ± 1.45 / 52.86 ± 1.15 36.39 ± 2.23 / 56.50 ± 1.51 17.42 ± 0.78 / 38.06 ± 0.55 52.18 ± 2.03 / 29.83 ± 3.23 50.53 ± 1.49 / 31.94 ± 4.20 33.30 ± 2.01 / 51.15 ± 2.93 60.69 ± 0.97 / 12.72 ± 0.74 2.63 ± 2.56 / 40.21 ± 3.98 4.00 ± 1.87 / 44.87 ± 3.17 37.08 ± 2.44 / 61.14 ± 2.01 17.34 ± 0.74 / 38.04 ± 0.55 17.43 ± 1.21 / 38.01 ± 0.91 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 59.28 ± 0.86 / 15.52 ± 0.64 22.99 ± 1.08 / 42.27 ± 0.81 20.19 ± 0.99 / 40.11 ± 0.71 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0 12.10.0 12.10.0 12.9.1 12.9.1 12.9.1 12.10.0 12.9.1 12.9.1 12.9.1 12.10.0 12.10.0 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0 12.10.0 12.10.0
norallm/normistral-7b-warm-instruct (few-shot) unknown 33 2048 True 6,194 ± 949 / 1,967 ± 619 3.35 3.18 3.56 3.30 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 66.17 ± 1.09 / 21.29 ± 0.90 10.83 ± 2.01 / 28.99 ± 1.32 14.66 ± 2.21 / 41.21 ± 0.84 2.71 ± 0.74 / 26.10 ± 0.82 46.49 ± 2.30 / 31.87 ± 1.92 51.46 ± 2.36 / 35.87 ± 2.14 37.98 ± 1.72 / 43.91 ± 2.51 64.52 ± 0.50 / 17.03 ± 1.00 7.86 ± 2.74 / 47.20 ± 2.71 7.23 ± 1.97 / 46.62 ± 3.92 33.31 ± 1.03 / 59.27 ± 1.53 5.22 ± 0.78 / 25.35 ± 0.57 9.32 ± 1.67 / 29.64 ± 1.49 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 62.18 ± 0.57 / 16.32 ± 0.33 4.88 ± 0.59 / 25.13 ± 0.54 4.63 ± 1.09 / 27.29 ± 1.02 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 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
allenai/OLMo-1.7-7B-hf (few-shot) 6888 50 4096 True 3,371 ± 876 / 561 ± 184 3.36 3.36 3.63 3.09 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 64.19 ± 1.01 / 17.67 ± 1.44 17.75 ± 1.41 / 35.70 ± 1.27 28.24 ± 2.88 / 52.50 ± 1.77 4.50 ± 0.85 / 27.33 ± 0.64 42.78 ± 1.09 / 37.34 ± 1.81 42.85 ± 1.93 / 37.34 ± 3.04 36.68 ± 2.11 / 46.78 ± 2.71 59.58 ± 1.88 / 12.71 ± 1.18 2.39 ± 1.54 / 43.99 ± 3.66 1.91 ± 1.37 / 44.20 ± 4.28 39.16 ± 2.56 / 62.28 ± 2.34 13.41 ± 0.92 / 33.01 ± 0.94 7.83 ± 1.64 / 29.50 ± 1.51 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 62.90 ± 0.52 / 17.15 ± 0.51 16.18 ± 0.78 / 34.88 ± 0.66 8.52 ± 1.90 / 29.96 ± 1.75 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.5 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 3.37 3.33 3.56 3.23 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 64.47 ± 1.21 / 18.39 ± 1.63 11.04 ± 2.43 / 29.26 ± 1.97 22.71 ± 2.48 / 46.50 ± 1.86 3.03 ± 1.08 / 26.49 ± 0.59 30.82 ± 5.81 / 25.27 ± 3.92 39.56 ± 4.73 / 32.12 ± 4.06 34.50 ± 1.29 / 42.21 ± 1.39 63.10 ± 1.12 / 16.05 ± 1.50 15.17 ± 1.41 / 49.46 ± 2.90 12.46 ± 3.29 / 48.89 ± 5.19 42.81 ± 3.10 / 66.15 ± 3.21 4.51 ± 1.00 / 27.45 ± 0.78 5.27 ± 1.29 / 28.47 ± 1.11 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 64.14 ± 0.46 / 18.76 ± 0.39 3.15 ± 0.80 / 27.43 ± 0.91 2.77 ± 1.26 / 26.43 ± 0.84 9.3.1 12.10.0 9.3.1 9.3.1 9.3.1 12.9.0 12.9.0 9.3.1 9.3.1 9.3.1 12.10.0 9.3.1 9.3.1 9.3.1 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 9.3.1
google/gemma-2-2b (few-shot) 2614 256 8193 True 5,235 ± 1,226 / 1,154 ± 366 3.37 3.22 3.72 3.17 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 64.82 ± 1.05 / 20.37 ± 1.06 48.07 ± 1.24 / 60.50 ± 0.88 45.03 ± 1.84 / 63.40 ± 1.23 9.10 ± 1.03 / 30.51 ± 1.01 20.47 ± 4.02 / 21.28 ± 2.58 24.18 ± 4.24 / 24.41 ± 3.40 32.61 ± 1.86 / 47.91 ± 2.11 60.17 ± 2.18 / 13.48 ± 1.53 3.22 ± 1.55 / 36.61 ± 2.49 3.91 ± 2.50 / 45.37 ± 4.56 41.16 ± 3.73 / 63.31 ± 3.73 19.03 ± 1.65 / 38.84 ± 1.33 7.35 ± 1.61 / 28.89 ± 1.54 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 63.12 ± 0.69 / 17.92 ± 0.39 20.80 ± 0.90 / 40.36 ± 0.78 6.24 ± 1.13 / 28.87 ± 1.03 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) 7800 100 4096 True 6,197 ± 1,118 / 1,730 ± 577 3.38 3.22 3.68 3.25 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 65.67 ± 1.05 / 19.97 ± 0.93 2.31 ± 1.92 / 24.65 ± 1.65 10.57 ± 2.47 / 40.33 ± 1.67 0.64 ± 1.55 / 25.40 ± 0.77 42.77 ± 2.42 / 40.31 ± 2.34 45.69 ± 3.69 / 43.11 ± 3.62 37.79 ± 2.38 / 56.41 ± 2.91 61.05 ± 1.44 / 13.39 ± 1.24 8.77 ± 1.96 / 49.11 ± 4.22 8.47 ± 3.16 / 49.65 ± 4.39 44.24 ± 4.15 / 65.11 ± 3.79 -1.34 ± 1.57 / 22.60 ± 0.91 -0.94 ± 1.03 / 24.17 ± 0.64 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 64.66 ± 0.41 / 18.04 ± 0.38 2.37 ± 1.04 / 24.51 ± 0.95 0.17 ± 0.83 / 25.26 ± 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
NorwAI/NorwAI-Llama2-7B (few-shot) 7033 68 4096 True 4,438 ± 1,128 / 1,028 ± 346 3.39 3.22 3.63 3.33 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 66.51 ± 1.29 / 22.13 ± 1.19 14.84 ± 2.11 / 33.02 ± 1.92 27.95 ± 3.54 / 48.55 ± 2.35 2.41 ± 1.06 / 26.59 ± 0.72 31.45 ± 1.64 / 31.64 ± 1.89 33.85 ± 1.95 / 34.29 ± 1.91 36.06 ± 3.96 / 52.59 ± 4.67 63.06 ± 2.34 / 17.34 ± 1.88 8.34 ± 2.97 / 45.11 ± 4.57 6.84 ± 3.88 / 45.28 ± 5.45 48.31 ± 4.22 / 69.39 ± 4.10 3.28 ± 1.19 / 25.97 ± 1.25 1.87 ± 1.03 / 26.44 ± 0.71 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 64.60 ± 1.09 / 18.36 ± 0.56 3.83 ± 1.03 / 26.46 ± 0.77 4.40 ± 1.42 / 28.14 ± 1.05 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 3.48 3.15 3.65 3.65 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 62.74 ± 1.62 / 16.48 ± 1.77 37.49 ± 1.84 / 51.62 ± 1.43 29.21 ± 3.46 / 52.40 ± 2.50 15.58 ± 1.48 / 36.33 ± 1.08 32.12 ± 5.17 / 32.01 ± 2.80 36.86 ± 3.53 / 35.46 ± 3.07 36.97 ± 1.94 / 55.08 ± 2.30 57.64 ± 2.16 / 11.53 ± 1.29 5.27 ± 3.31 / 40.91 ± 5.24 1.40 ± 1.87 / 33.64 ± 0.74 40.00 ± 2.26 / 62.87 ± 1.60 16.50 ± 1.40 / 36.63 ± 1.17 13.27 ± 2.02 / 34.42 ± 1.54 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 58.24 ± 1.76 / 16.02 ± 0.88 22.04 ± 0.60 / 41.36 ± 0.54 14.76 ± 1.28 / 35.27 ± 1.32 12.5.2 10.0.1 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.5.2 9.3.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) 3374 49 4096 True 10,246 ± 3,021 / 1,629 ± 550 3.48 3.38 3.77 3.28 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 63.82 ± 0.97 / 18.09 ± 0.88 18.25 ± 1.54 / 38.38 ± 1.12 19.54 ± 2.59 / 46.35 ± 1.91 2.64 ± 1.03 / 26.88 ± 0.77 44.89 ± 2.26 / 34.93 ± 2.45 48.08 ± 1.68 / 34.39 ± 2.61 32.29 ± 1.15 / 51.91 ± 2.66 59.77 ± 0.91 / 11.96 ± 0.65 7.49 ± 1.65 / 47.79 ± 3.81 4.65 ± 1.91 / 45.75 ± 5.13 26.37 ± 1.51 / 47.59 ± 2.41 11.54 ± 1.37 / 32.89 ± 1.10 3.42 ± 1.93 / 26.93 ± 1.47 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 60.93 ± 0.49 / 14.76 ± 0.77 13.55 ± 1.27 / 34.97 ± 0.99 5.27 ± 1.49 / 27.92 ± 1.10 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
LumiOpen/Viking-33B@1000B (few-shot) 33119 131 4099 True 2,080 ± 700 / 331 ± 117 3.49 3.30 3.83 3.34 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 62.78 ± 0.97 / 15.36 ± 1.96 0.43 ± 1.04 / 24.15 ± 0.82 4.81 ± 3.43 / 36.58 ± 2.02 1.77 ± 0.76 / 26.00 ± 0.65 40.40 ± 2.29 / 30.41 ± 2.07 44.45 ± 3.61 / 34.06 ± 3.27 40.79 ± 1.70 / 57.84 ± 2.77 56.55 ± 1.85 / 9.81 ± 1.29 5.91 ± 2.51 / 47.81 ± 3.76 2.98 ± 2.86 / 45.49 ± 4.59 37.75 ± 3.23 / 59.72 ± 3.03 1.16 ± 0.75 / 23.71 ± 0.76 -0.29 ± 1.00 / 24.91 ± 0.66 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 58.30 ± 1.94 / 14.29 ± 0.83 1.73 ± 1.04 / 24.98 ± 0.69 -0.32 ± 1.25 / 25.53 ± 0.82 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 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
AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) 7111 64 2048 True 2,351 ± 448 / 707 ± 216 3.53 3.54 3.70 3.36 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 65.15 ± 1.16 / 18.96 ± 1.15 6.34 ± 2.61 / 28.14 ± 1.77 18.00 ± 3.09 / 45.08 ± 1.79 5.57 ± 0.93 / 28.66 ± 0.66 29.62 ± 4.17 / 24.40 ± 2.42 32.30 ± 5.27 / 29.23 ± 3.22 34.67 ± 5.23 / 54.62 ± 5.71 61.61 ± 2.04 / 14.34 ± 1.84 8.37 ± 1.71 / 48.94 ± 2.72 7.76 ± 2.86 / 46.16 ± 4.77 44.62 ± 3.31 / 67.57 ± 3.03 3.03 ± 1.30 / 25.60 ± 0.86 5.57 ± 1.19 / 27.61 ± 0.93 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 62.41 ± 0.85 / 16.45 ± 0.64 5.23 ± 1.02 / 28.63 ± 0.82 5.39 ± 0.81 / 28.86 ± 0.60 9.2.0 9.2.0 9.2.0 12.5.1 12.6.1 10.0.1 10.0.1 9.2.0 9.2.0 9.2.0 9.2.0 11.0.0 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 11.0.0 9.2.0 9.2.0
norallm/normistral-7b-warm (few-shot) 7248 33 2048 True 3,175 ± 456 / 1,186 ± 354 3.53 3.39 3.81 3.39 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 65.81 ± 1.29 / 21.55 ± 1.19 -0.90 ± 1.63 / 23.10 ± 1.16 3.61 ± 2.89 / 35.10 ± 1.82 0.40 ± 1.28 / 25.12 ± 0.72 42.29 ± 4.36 / 31.45 ± 1.88 46.29 ± 3.44 / 35.99 ± 4.20 27.05 ± 3.33 / 45.30 ± 3.46 62.81 ± 1.69 / 17.08 ± 1.49 1.63 ± 2.58 / 38.29 ± 4.05 2.57 ± 1.78 / 40.92 ± 4.00 39.18 ± 2.84 / 61.85 ± 3.07 1.50 ± 0.72 / 23.00 ± 0.61 -0.05 ± 1.05 / 25.00 ± 0.83 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 57.49 ± 2.27 / 16.17 ± 0.78 1.28 ± 1.28 / 23.12 ± 0.63 1.27 ± 0.61 / 25.74 ± 0.70 11.0.0 11.0.0 11.0.0 11.0.0 12.6.1 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 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0
MaLA-LM/emma-500-llama2-7b (few-shot) 6738 32 4096 True 6,275 ± 1,193 / 1,755 ± 578 3.57 3.59 3.84 3.29 28.18 ± 3.39 / 24.25 ± 3.30 29.32 ± 7.19 / 41.08 ± 8.29 2.90 ± 2.18 / 37.93 ± 4.98 56.48 ± 1.11 / 62.92 ± 0.96 53.81 ± 1.18 / 9.42 ± 0.33 27.86 ± 1.78 / 43.42 ± 1.51 34.62 ± 2.93 / 55.21 ± 2.08 4.73 ± 0.61 / 27.77 ± 0.53 36.96 ± 3.10 / 34.68 ± 3.19 39.38 ± 3.30 / 37.06 ± 3.49 32.67 ± 2.52 / 44.37 ± 3.06 51.44 ± 1.23 / 8.37 ± 0.51 2.18 ± 2.36 / 38.05 ± 3.18 5.33 ± 2.97 / 44.30 ± 4.99 45.23 ± 5.03 / 67.75 ± 4.41 9.35 ± 1.27 / 30.22 ± 0.88 4.85 ± 0.63 / 27.55 ± 0.65 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 55.94 ± 1.10 / 13.29 ± 0.34 10.56 ± 1.14 / 31.45 ± 0.92 5.03 ± 1.36 / 28.41 ± 0.76 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 2,383 ± 451 / 718 ± 221 3.58 3.60 3.65 3.50 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 66.38 ± 1.07 / 21.48 ± 1.21 30.90 ± 3.84 / 43.86 ± 4.18 16.81 ± 3.84 / 42.03 ± 2.42 11.08 ± 1.35 / 32.13 ± 1.04 24.67 ± 1.69 / 24.58 ± 1.95 29.03 ± 2.12 / 29.83 ± 2.15 34.39 ± 5.34 / 50.45 ± 6.08 64.07 ± 0.86 / 17.41 ± 0.90 2.42 ± 1.83 / 35.49 ± 2.63 5.11 ± 2.68 / 38.37 ± 3.31 42.52 ± 2.05 / 68.98 ± 2.23 6.89 ± 1.56 / 27.44 ± 1.06 12.81 ± 0.66 / 32.38 ± 0.61 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 64.89 ± 0.15 / 18.79 ± 0.22 6.16 ± 0.81 / 28.35 ± 0.97 10.90 ± 0.86 / 32.01 ± 0.54 9.2.0 9.2.0 9.2.0 12.4.0 12.6.1 10.0.1 10.0.1 9.2.0 9.2.0 9.2.0 9.2.0 12.4.0 9.2.0 9.2.0 12.4.0 9.2.0 9.3.1 9.2.0 9.2.0 9.2.0 12.4.0 12.4.0 9.2.0 9.3.1
LumiOpen/Viking-13B (few-shot) 14030 131 4097 True 840 ± 79 / 400 ± 124 3.62 3.38 4.05 3.43 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 64.05 ± 0.93 / 16.99 ± 1.44 0.55 ± 0.59 / 24.15 ± 0.73 0.00 ± 2.29 / 35.66 ± 1.43 0.36 ± 1.09 / 25.24 ± 0.60 26.76 ± 6.99 / 23.69 ± 3.73 35.38 ± 5.87 / 27.52 ± 3.45 29.22 ± 2.89 / 39.25 ± 1.86 56.69 ± 2.08 / 8.56 ± 1.22 2.58 ± 2.68 / 36.11 ± 2.42 2.79 ± 1.44 / 36.17 ± 1.51 34.41 ± 3.68 / 53.61 ± 4.28 -0.56 ± 0.87 / 21.99 ± 0.62 -0.43 ± 1.02 / 24.54 ± 0.89 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 60.05 ± 1.20 / 13.94 ± 0.43 1.32 ± 1.02 / 23.28 ± 0.65 0.35 ± 0.66 / 25.33 ± 0.66 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 12.10.4 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 12.10.5 12.10.5 12.10.5
meta-llama/Llama-3.2-1B-Instruct (few-shot) 1236 128 131073 False 7,436 ± 1,846 / 1,508 ± 479 3.62 3.47 3.96 3.42 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 61.33 ± 1.47 / 15.38 ± 1.23 27.14 ± 1.18 / 43.89 ± 1.09 18.57 ± 1.82 / 46.35 ± 1.18 3.16 ± 0.85 / 26.86 ± 0.87 44.66 ± 0.68 / 41.13 ± 2.11 47.78 ± 1.22 / 44.30 ± 1.57 27.43 ± 1.89 / 42.83 ± 3.08 57.67 ± 1.45 / 10.42 ± 1.07 0.07 ± 1.51 / 34.07 ± 0.78 1.14 ± 1.23 / 33.17 ± 0.47 18.00 ± 3.56 / 39.37 ± 4.69 11.67 ± 1.20 / 33.08 ± 0.94 3.53 ± 1.01 / 26.63 ± 0.86 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 56.69 ± 0.79 / 13.27 ± 0.37 14.64 ± 0.91 / 35.56 ± 0.80 3.10 ± 0.87 / 26.60 ± 0.68 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.65 3.45 4.00 3.51 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 63.07 ± 1.07 / 16.98 ± 0.98 15.04 ± 1.21 / 35.51 ± 0.80 30.63 ± 3.36 / 50.02 ± 2.13 4.90 ± 0.95 / 28.18 ± 0.88 15.53 ± 5.69 / 15.49 ± 5.08 19.78 ± 4.54 / 18.86 ± 4.22 32.89 ± 1.65 / 42.58 ± 3.16 57.65 ± 2.16 / 10.13 ± 1.30 1.18 ± 1.00 / 33.34 ± 0.26 0.00 ± 0.00 / 32.79 ± 0.34 33.33 ± 3.73 / 53.15 ± 4.42 11.27 ± 1.41 / 32.73 ± 1.25 5.10 ± 1.44 / 28.63 ± 1.05 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 59.72 ± 1.46 / 15.26 ± 0.64 10.98 ± 0.98 / 31.92 ± 0.80 4.24 ± 0.47 / 27.53 ± 0.44 12.5.2 12.1.0 12.1.0 12.1.0 12.6.1 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 12.1.0 12.1.0 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
ibm-granite/granite-3.0-3b-a800m-base (few-shot) 3374 49 4096 True 10,504 ± 3,028 / 1,678 ± 559 3.67 3.68 3.88 3.46 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 63.43 ± 0.90 / 16.85 ± 1.02 15.97 ± 1.54 / 36.37 ± 1.08 17.19 ± 2.72 / 45.23 ± 1.84 3.07 ± 0.91 / 27.05 ± 0.83 40.08 ± 2.60 / 33.17 ± 1.81 43.96 ± 1.65 / 32.96 ± 2.24 31.90 ± 1.50 / 53.03 ± 1.81 59.98 ± 1.54 / 11.97 ± 1.13 -0.07 ± 0.97 / 35.01 ± 1.42 1.27 ± 2.35 / 38.10 ± 4.51 23.32 ± 2.39 / 43.13 ± 3.33 11.78 ± 1.09 / 33.75 ± 0.93 5.48 ± 1.23 / 28.09 ± 1.29 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 58.57 ± 0.73 / 15.09 ± 0.29 13.42 ± 0.96 / 34.81 ± 0.72 7.33 ± 1.70 / 29.31 ± 1.45 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3b-code-instruct-2k (few-shot) 3483 49 2048 True 9,059 ± 1,947 / 2,201 ± 728 3.67 3.53 3.86 3.62 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 61.56 ± 0.49 / 13.64 ± 0.97 17.92 ± 1.52 / 37.22 ± 1.29 10.79 ± 2.32 / 40.86 ± 1.85 1.70 ± 1.10 / 26.14 ± 0.76 53.78 ± 2.43 / 49.41 ± 2.56 55.14 ± 1.27 / 51.07 ± 1.78 26.21 ± 1.63 / 43.33 ± 1.46 57.11 ± 1.08 / 10.81 ± 0.52 3.90 ± 1.45 / 43.86 ± 4.21 2.42 ± 1.39 / 41.58 ± 3.89 24.86 ± 1.34 / 45.77 ± 1.85 10.36 ± 1.15 / 29.64 ± 1.06 5.85 ± 1.57 / 27.84 ± 1.21 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 45.16 ± 0.70 / 11.84 ± 0.27 7.58 ± 0.88 / 28.54 ± 0.85 3.79 ± 0.85 / 27.39 ± 0.57 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
utter-project/EuroLLM-1.7B-Instruct (few-shot) 1657 128 4096 True 15,009 ± 4,072 / 2,702 ± 878 3.67 3.52 3.99 3.51 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 63.91 ± 1.29 / 18.26 ± 1.57 2.54 ± 1.89 / 25.25 ± 1.06 17.85 ± 2.63 / 40.98 ± 1.12 0.52 ± 0.97 / 25.60 ± 0.68 31.43 ± 1.78 / 30.82 ± 2.35 36.92 ± 1.75 / 37.80 ± 1.67 30.63 ± 1.48 / 37.24 ± 1.90 59.45 ± 1.98 / 10.85 ± 1.59 0.98 ± 1.59 / 42.00 ± 2.28 1.67 ± 1.96 / 34.92 ± 1.93 33.24 ± 2.51 / 55.11 ± 2.82 1.85 ± 1.02 / 24.15 ± 0.66 -1.18 ± 1.33 / 24.23 ± 0.94 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 63.23 ± 0.51 / 17.40 ± 0.45 3.39 ± 0.48 / 25.11 ± 0.71 0.54 ± 0.72 / 25.45 ± 0.45 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
stabilityai/stablelm-2-1_6b (few-shot) 1645 100 4096 True 7,259 ± 2,120 / 1,240 ± 432 3.68 3.56 4.06 3.43 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 57.67 ± 0.91 / 11.58 ± 0.72 11.94 ± 1.37 / 32.30 ± 0.94 18.18 ± 2.76 / 45.98 ± 1.68 2.67 ± 1.70 / 26.59 ± 1.10 41.64 ± 3.64 / 39.43 ± 3.55 42.37 ± 3.13 / 40.79 ± 3.10 33.71 ± 2.57 / 55.00 ± 1.41 49.22 ± 1.24 / 6.32 ± 0.45 -0.19 ± 0.77 / 33.29 ± 0.30 -0.01 ± 1.25 / 34.51 ± 2.09 30.14 ± 2.44 / 50.96 ± 3.46 6.67 ± 0.74 / 28.30 ± 0.55 3.50 ± 1.56 / 26.82 ± 1.38 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 55.63 ± 1.02 / 13.45 ± 0.61 8.72 ± 0.93 / 30.92 ± 0.72 3.19 ± 0.62 / 26.88 ± 0.62 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 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
HPLT/gpt-33b-nordic-prerelease (few-shot) 33119 131 4099 True 501 ± 50 / 238 ± 69 3.70 3.51 4.03 3.55 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 62.23 ± 0.78 / 14.60 ± 1.38 -1.01 ± 1.58 / 23.28 ± 1.25 1.33 ± 1.98 / 33.83 ± 1.11 -0.19 ± 0.99 / 25.04 ± 0.66 31.38 ± 5.44 / 24.32 ± 2.75 37.84 ± 4.65 / 29.35 ± 4.10 38.88 ± 4.12 / 54.92 ± 4.66 55.01 ± 1.93 / 8.21 ± 0.98 3.41 ± 2.16 / 35.53 ± 2.75 3.11 ± 1.55 / 39.80 ± 4.20 30.39 ± 2.51 / 51.24 ± 2.87 -1.56 ± 0.62 / 21.86 ± 0.67 0.51 ± 1.35 / 25.31 ± 0.93 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 56.37 ± 1.71 / 12.78 ± 0.63 -0.31 ± 0.91 / 25.20 ± 0.62 -0.04 ± 0.62 / 25.05 ± 0.50 12.9.1 12.9.1 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.9.1 12.10.0 12.9.1 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.9.1 12.9.1 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
ibm-granite/granite-7b-instruct (few-shot) 6738 32 4096 True 3,136 ± 558 / 942 ± 290 3.72 3.60 3.97 3.60 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 62.33 ± 0.49 / 16.36 ± 0.61 17.68 ± 1.52 / 37.53 ± 1.55 17.54 ± 2.35 / 45.41 ± 1.72 1.72 ± 1.01 / 25.87 ± 0.82 37.73 ± 2.53 / 31.57 ± 3.65 40.07 ± 1.68 / 35.25 ± 2.70 21.50 ± 2.19 / 36.73 ± 3.30 59.05 ± 0.69 / 11.70 ± 0.58 0.86 ± 1.18 / 44.09 ± 2.96 2.01 ± 1.11 / 41.46 ± 3.24 27.03 ± 1.40 / 48.70 ± 1.69 9.41 ± 1.33 / 30.90 ± 1.02 7.04 ± 1.65 / 29.08 ± 1.51 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 56.02 ± 4.77 / 14.46 ± 1.28 8.00 ± 0.88 / 30.22 ± 0.72 5.76 ± 1.24 / 28.68 ± 1.21 13.2.0 13.0.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.0.0 13.2.0 13.2.0 13.2.0 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 13.2.0
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) 1445 64 2048 True 4,544 ± 1,000 / 1,106 ± 359 3.73 3.72 3.87 3.59 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 65.48 ± 0.73 / 19.58 ± 1.08 0.32 ± 0.71 / 23.38 ± 0.86 7.00 ± 3.44 / 37.91 ± 1.85 0.13 ± 0.25 / 25.04 ± 0.54 33.08 ± 2.22 / 34.51 ± 2.24 38.28 ± 2.63 / 40.50 ± 2.72 35.58 ± 2.13 / 44.49 ± 2.52 63.11 ± 0.71 / 15.22 ± 1.02 0.82 ± 1.46 / 34.78 ± 1.54 1.43 ± 1.70 / 34.19 ± 1.10 36.06 ± 1.76 / 58.71 ± 1.63 -0.68 ± 1.21 / 24.35 ± 0.73 -0.32 ± 0.44 / 24.50 ± 0.55 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 63.33 ± 0.86 / 17.11 ± 0.61 0.65 ± 1.12 / 25.94 ± 0.76 -0.18 ± 0.36 / 24.70 ± 0.60 12.5.2 9.3.1 12.1.0 12.4.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 9.3.1 12.4.0 12.1.0 12.1.0 12.4.0 12.1.0 12.1.0 12.5.2 9.3.1 12.1.0 12.4.0 12.4.0 12.1.0 12.1.0
ibm-granite/granite-7b-base (few-shot) 6738 32 2048 True 4,405 ± 1,098 / 1,032 ± 345 3.73 3.51 4.14 3.53 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 62.67 ± 1.16 / 17.33 ± 1.12 16.13 ± 2.67 / 36.80 ± 2.07 24.21 ± 2.83 / 49.43 ± 1.98 1.27 ± 0.82 / 25.59 ± 0.52 32.21 ± 1.63 / 31.19 ± 1.29 36.62 ± 1.94 / 36.40 ± 2.17 16.98 ± 3.42 / 27.01 ± 3.17 55.91 ± 2.53 / 9.21 ± 1.23 1.57 ± 1.20 / 41.68 ± 4.20 0.97 ± 1.79 / 40.10 ± 4.50 26.28 ± 1.51 / 44.62 ± 2.11 8.41 ± 1.26 / 29.77 ± 1.22 2.47 ± 1.34 / 26.33 ± 1.07 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 52.86 ± 1.75 / 11.38 ± 0.57 11.71 ± 0.83 / 32.71 ± 0.95 0.81 ± 0.88 / 25.27 ± 0.59 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.8 12.10.8 12.10.8 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.8 12.10.8 12.10.5 12.10.5 12.10.5 12.10.5 12.10.8 12.10.8 12.10.8
ibm-granite/granite-3b-code-base-2k (few-shot) 3483 49 2048 True 2,732 ± 868 / 662 ± 238 3.74 3.39 4.23 3.60 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 62.50 ± 0.59 / 15.45 ± 0.50 13.46 ± 2.03 / 33.24 ± 1.59 15.31 ± 3.62 / 43.65 ± 2.19 6.00 ± 1.15 / 29.24 ± 0.76 53.93 ± 3.93 / 48.95 ± 4.17 54.04 ± 1.83 / 49.74 ± 2.48 23.83 ± 3.47 / 45.39 ± 3.46 50.59 ± 3.68 / 7.28 ± 1.97 3.91 ± 1.46 / 42.54 ± 4.53 1.55 ± 2.39 / 40.63 ± 4.26 2.37 ± 0.20 / 12.14 ± 1.07 8.68 ± 1.17 / 31.15 ± 0.84 6.19 ± 0.85 / 29.29 ± 0.77 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 41.31 ± 2.13 / 7.20 ± 1.44 7.41 ± 0.75 / 30.14 ± 0.39 5.42 ± 0.79 / 29.15 ± 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
NorwAI/NorwAI-Mistral-7B-instruct (few-shot) 7537 68 4096 False 3,027 ± 503 / 903 ± 296 3.75 3.62 4.00 3.62 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 65.03 ± 0.55 / 18.00 ± 0.59 40.74 ± 1.91 / 53.17 ± 1.96 43.43 ± 1.76 / 61.76 ± 1.32 4.50 ± 0.94 / 26.55 ± 0.96 27.49 ± 2.13 / 24.26 ± 1.41 32.33 ± 2.92 / 29.29 ± 2.05 47.78 ± 3.12 / 64.33 ± 2.80 62.75 ± 0.25 / 13.28 ± 0.27 3.92 ± 1.56 / 45.78 ± 2.36 4.27 ± 2.44 / 42.86 ± 3.51 2.46 ± 0.73 / 29.01 ± 1.18 8.41 ± 0.77 / 32.09 ± 0.44 2.92 ± 1.61 / 25.82 ± 0.79 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 63.75 ± 0.70 / 17.94 ± 0.22 9.17 ± 0.61 / 31.89 ± 0.41 3.98 ± 1.37 / 26.35 ± 1.13 12.10.5 12.10.4 12.10.5 12.10.5 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 12.10.4 12.10.4 12.10.4 12.10.5 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
LumiOpen/Viking-7B (few-shot) 7550 131 4096 True 4,969 ± 1,109 / 1,134 ± 374 3.76 3.60 4.11 3.56 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 61.96 ± 0.87 / 13.71 ± 1.26 -0.06 ± 0.90 / 23.97 ± 0.72 -1.04 ± 2.16 / 34.90 ± 1.48 0.73 ± 0.90 / 25.11 ± 0.51 22.37 ± 5.96 / 23.75 ± 3.97 29.90 ± 4.44 / 26.84 ± 3.45 35.86 ± 3.52 / 52.28 ± 3.76 53.25 ± 1.69 / 6.87 ± 0.67 1.03 ± 2.07 / 36.12 ± 2.97 2.92 ± 1.89 / 36.47 ± 2.72 34.39 ± 3.15 / 54.65 ± 3.56 -1.16 ± 0.91 / 21.94 ± 0.46 -0.55 ± 1.14 / 25.09 ± 0.85 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 57.93 ± 2.32 / 13.16 ± 1.05 1.14 ± 0.79 / 22.39 ± 0.53 1.13 ± 1.01 / 25.61 ± 0.65 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 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
HPLT/gpt-13b-nordic-prerelease (few-shot) 14030 131 4099 True 3,520 ± 736 / 823 ± 273 3.77 3.52 4.21 3.57 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 61.62 ± 1.05 / 14.33 ± 1.71 1.17 ± 2.28 / 24.76 ± 1.52 11.38 ± 3.80 / 38.52 ± 1.85 -0.16 ± 1.02 / 25.19 ± 0.70 28.94 ± 5.63 / 27.01 ± 4.91 33.83 ± 5.52 / 30.49 ± 4.07 27.32 ± 3.13 / 38.30 ± 2.19 54.05 ± 2.19 / 7.52 ± 0.86 1.46 ± 1.07 / 49.06 ± 1.04 -0.59 ± 1.36 / 45.94 ± 2.35 25.62 ± 4.99 / 40.88 ± 7.54 0.32 ± 0.70 / 24.79 ± 0.56 0.92 ± 1.02 / 25.43 ± 0.83 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 57.46 ± 1.64 / 13.21 ± 0.57 -0.49 ± 0.50 / 25.03 ± 0.45 0.50 ± 1.04 / 25.50 ± 0.72 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 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 3.80 3.68 4.01 3.71 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 64.58 ± 1.03 / 18.26 ± 1.00 1.11 ± 2.19 / 24.85 ± 1.14 8.76 ± 3.09 / 37.32 ± 1.76 1.70 ± 0.84 / 26.17 ± 0.62 22.35 ± 7.84 / 23.89 ± 4.74 21.98 ± 7.52 / 27.22 ± 4.97 18.23 ± 9.28 / 38.93 ± 6.44 60.38 ± 1.78 / 12.50 ± 1.62 1.68 ± 1.35 / 39.93 ± 2.78 2.49 ± 1.88 / 40.26 ± 3.23 41.80 ± 3.14 / 64.25 ± 3.13 2.13 ± 0.65 / 26.47 ± 0.86 0.98 ± 1.48 / 25.66 ± 1.09 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 61.05 ± 1.33 / 15.89 ± 0.85 1.22 ± 0.65 / 26.19 ± 0.64 0.60 ± 1.34 / 25.62 ± 0.72 11.0.0 11.0.0 11.0.0 11.0.0 12.6.1 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 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) 1711 49 8192 True 15,971 ± 3,654 / 3,609 ± 1,197 3.84 3.71 4.24 3.57 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 61.76 ± 1.10 / 15.33 ± 1.17 22.03 ± 1.83 / 37.29 ± 1.77 12.61 ± 2.43 / 41.82 ± 1.61 2.06 ± 0.89 / 26.03 ± 0.67 37.60 ± 2.17 / 29.30 ± 2.43 38.38 ± 2.48 / 30.13 ± 2.95 24.05 ± 3.58 / 40.36 ± 4.22 48.55 ± 6.18 / 8.21 ± 1.30 3.56 ± 1.93 / 38.60 ± 3.52 2.61 ± 2.57 / 38.57 ± 3.89 13.58 ± 3.16 / 25.34 ± 5.83 9.52 ± 1.13 / 30.72 ± 1.12 3.62 ± 1.22 / 27.07 ± 1.15 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 54.50 ± 1.26 / 12.92 ± 0.48 8.61 ± 1.25 / 29.95 ± 1.28 4.51 ± 0.96 / 27.64 ± 0.87 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-1.7B (few-shot) 1711 49 8192 True 16,249 ± 3,690 / 3,689 ± 1,226 3.87 3.84 4.23 3.53 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 61.62 ± 0.72 / 14.36 ± 0.73 19.65 ± 1.47 / 36.46 ± 1.24 19.01 ± 2.56 / 46.27 ± 1.71 1.34 ± 1.16 / 25.88 ± 0.65 26.70 ± 4.42 / 24.56 ± 2.10 28.23 ± 3.78 / 28.27 ± 2.80 23.25 ± 4.16 / 36.07 ± 4.20 56.31 ± 2.34 / 9.78 ± 0.93 -0.47 ± 1.05 / 33.93 ± 0.92 0.26 ± 0.74 / 33.32 ± 0.79 13.40 ± 2.83 / 26.51 ± 4.94 11.12 ± 0.88 / 33.35 ± 0.75 2.53 ± 0.82 / 26.29 ± 0.74 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 57.04 ± 0.95 / 13.24 ± 1.09 10.86 ± 1.20 / 31.65 ± 1.09 2.53 ± 0.98 / 26.17 ± 0.78 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.88 3.63 3.97 4.05 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 62.41 ± 1.21 / 17.66 ± 0.54 15.16 ± 1.35 / 31.61 ± 1.92 12.67 ± 1.89 / 41.99 ± 1.17 2.67 ± 1.17 / 26.82 ± 0.69 39.78 ± 2.67 / 31.15 ± 2.70 43.58 ± 2.49 / 36.60 ± 2.76 22.01 ± 3.00 / 40.48 ± 2.81 55.43 ± 4.07 / 11.54 ± 0.87 2.76 ± 1.35 / 44.34 ± 3.05 1.45 ± 1.35 / 39.55 ± 3.53 32.42 ± 1.72 / 56.65 ± 0.92 7.68 ± 0.87 / 29.15 ± 0.61 1.06 ± 1.38 / 25.48 ± 1.00 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 40.55 ± 6.41 / 11.10 ± 1.63 11.06 ± 0.98 / 31.69 ± 0.81 1.03 ± 0.85 / 25.55 ± 0.60 12.5.2 12.1.0 12.1.0 12.4.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 12.1.0 12.4.0 12.1.0 12.1.0 12.4.0 12.1.0 12.1.0 12.5.2 12.1.0 12.1.0 12.4.0 12.4.0 12.1.0 12.1.0
meta-llama/Llama-3.2-1B (few-shot) 1236 128 131073 True 7,577 ± 1,884 / 1,555 ± 492 3.89 3.76 4.23 3.67 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 58.65 ± 1.07 / 11.57 ± 0.77 2.65 ± 1.26 / 25.17 ± 1.16 9.51 ± 2.67 / 40.41 ± 1.62 -0.88 ± 1.13 / 24.79 ± 0.98 30.54 ± 3.75 / 29.88 ± 3.25 31.34 ± 4.72 / 30.46 ± 4.56 29.50 ± 4.18 / 49.19 ± 4.59 53.31 ± 0.98 / 7.37 ± 0.54 -0.13 ± 1.28 / 37.46 ± 3.25 0.02 ± 1.75 / 39.49 ± 4.41 19.59 ± 5.61 / 34.02 ± 8.33 2.49 ± 1.09 / 25.63 ± 0.78 2.53 ± 1.16 / 26.30 ± 0.82 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 52.06 ± 2.11 / 12.53 ± 0.81 0.93 ± 1.44 / 26.10 ± 1.04 0.09 ± 1.37 / 24.84 ± 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) 1445 64 2048 True 4,608 ± 988 / 1,115 ± 354 3.91 3.84 4.16 3.73 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 62.17 ± 1.12 / 14.96 ± 1.16 -1.31 ± 1.31 / 24.58 ± 0.99 3.02 ± 3.77 / 36.58 ± 2.16 -0.33 ± 1.17 / 24.65 ± 0.48 13.49 ± 7.98 / 14.80 ± 7.68 14.74 ± 8.45 / 15.09 ± 7.85 27.28 ± 4.39 / 49.18 ± 4.23 58.46 ± 2.59 / 11.38 ± 1.45 3.09 ± 0.79 / 42.87 ± 3.49 1.86 ± 1.90 / 38.18 ± 1.44 34.91 ± 2.65 / 54.30 ± 2.96 -0.01 ± 0.86 / 24.32 ± 0.81 0.25 ± 0.94 / 25.10 ± 0.81 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 60.11 ± 1.59 / 15.02 ± 0.84 2.20 ± 0.88 / 25.62 ± 0.86 0.67 ± 1.39 / 25.25 ± 0.51 9.3.1 9.3.1 9.3.1 12.5.1 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 9.3.1 9.3.1 11.0.0 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 11.0.0 9.3.1 9.3.1
mhenrichsen/danskgpt-tiny-chat (few-shot) 1100 32 2048 False 1,745 ± 978 / 686 ± 159 3.91 3.66 4.17 3.91 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 65.27 ± 0.25 / 17.79 ± 0.40 6.27 ± 1.52 / 27.63 ± 1.15 6.25 ± 3.25 / 37.75 ± 2.53 2.11 ± 1.44 / 26.00 ± 0.86 28.74 ± 4.18 / 28.29 ± 4.37 30.34 ± 6.08 / 30.02 ± 6.42 27.49 ± 3.13 / 48.00 ± 3.89 60.01 ± 0.81 / 9.76 ± 0.87 -2.17 ± 1.06 / 33.52 ± 0.37 0.26 ± 1.08 / 34.12 ± 0.45 19.10 ± 2.33 / 38.96 ± 2.78 3.21 ± 0.87 / 27.07 ± 0.74 0.18 ± 1.02 / 25.00 ± 0.86 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 55.79 ± 0.24 / 10.61 ± 0.29 0.14 ± 1.02 / 24.76 ± 0.75 0.52 ± 0.83 / 25.53 ± 0.62 9.1.2 9.1.2 9.1.2 12.4.0 12.6.1 10.0.1 10.0.1 9.1.2 9.1.2 9.1.2 9.1.2 12.4.0 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 12.4.0 9.1.2 9.1.2
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 3.94 3.86 4.30 3.67 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 57.19 ± 1.18 / 11.87 ± 0.68 22.17 ± 1.31 / 39.97 ± 1.18 12.85 ± 3.11 / 42.13 ± 2.09 7.01 ± 0.62 / 30.16 ± 0.46 26.99 ± 3.92 / 24.61 ± 2.74 25.74 ± 3.76 / 24.51 ± 2.96 19.85 ± 1.97 / 35.75 ± 1.74 55.08 ± 0.83 / 8.11 ± 0.35 1.96 ± 1.33 / 44.22 ± 2.93 -0.01 ± 1.39 / 39.57 ± 2.97 16.33 ± 2.17 / 31.16 ± 3.40 7.79 ± 0.78 / 29.50 ± 0.61 5.61 ± 1.32 / 28.45 ± 1.02 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 61.19 ± 0.69 / 15.92 ± 0.24 10.74 ± 0.92 / 32.65 ± 0.68 4.83 ± 0.62 / 28.76 ± 0.55 12.5.2 11.0.0 12.1.0 12.5.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 11.0.0 12.5.0 12.1.0 12.1.0 12.5.0 12.1.0 12.1.0 12.5.2 11.0.0 12.1.0 12.5.0 12.5.0 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 3.95 3.83 4.12 3.89 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 63.38 ± 0.84 / 15.95 ± 1.16 -0.09 ± 1.02 / 23.32 ± 0.76 -0.76 ± 3.27 / 35.04 ± 1.77 0.28 ± 0.39 / 25.19 ± 0.77 24.38 ± 2.13 / 25.79 ± 2.29 31.28 ± 1.60 / 33.48 ± 1.60 30.88 ± 2.75 / 46.07 ± 3.07 60.73 ± 0.70 / 11.71 ± 0.76 -0.30 ± 1.46 / 34.93 ± 1.25 0.45 ± 0.57 / 33.74 ± 1.25 23.99 ± 1.59 / 42.69 ± 1.94 -1.01 ± 1.09 / 21.90 ± 0.67 -0.50 ± 0.67 / 25.00 ± 0.86 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 61.28 ± 0.92 / 14.60 ± 0.79 0.48 ± 1.07 / 23.44 ± 0.67 0.33 ± 0.50 / 25.01 ± 0.76 12.5.2 9.3.2 12.1.0 12.4.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 9.3.2 12.4.0 12.1.0 12.1.0 12.4.0 12.1.0 12.1.0 12.5.2 9.3.2 12.1.0 12.4.0 12.4.0 12.1.0 12.1.0
norallm/normistral-7b-scratch (few-shot) 7248 33 2048 True 3,192 ± 454 / 1,198 ± 357 3.95 3.80 4.14 3.91 14.88 ± 3.92 / 14.02 ± 2.63 34.66 ± 1.82 / 46.40 ± 1.53 0.29 ± 1.86 / 41.01 ± 2.54 42.16 ± 0.88 / 47.49 ± 0.98 63.19 ± 1.17 / 17.04 ± 1.07 0.58 ± 1.06 / 23.87 ± 1.16 4.60 ± 3.52 / 37.09 ± 1.52 -0.34 ± 1.37 / 24.79 ± 0.73 14.58 ± 6.07 / 15.44 ± 5.52 21.06 ± 7.77 / 21.99 ± 7.14 32.02 ± 1.59 / 36.85 ± 2.01 60.36 ± 1.93 / 12.69 ± 1.69 1.49 ± 1.40 / 35.35 ± 1.51 0.98 ± 1.85 / 35.28 ± 2.43 22.87 ± 1.85 / 38.93 ± 2.59 0.99 ± 0.62 / 24.00 ± 0.70 -0.16 ± 0.90 / 24.84 ± 0.71 13.79 ± 8.46 / 14.43 ± 7.23 71.59 ± 2.78 / 59.82 ± 1.71 -0.89 ± 1.22 / 43.82 ± 3.45 38.33 ± 1.79 / 44.00 ± 1.70 55.77 ± 0.83 / 14.15 ± 0.51 -0.39 ± 1.21 / 22.30 ± 0.78 -0.52 ± 1.01 / 25.20 ± 0.85 10.0.0 10.0.0 10.0.0 10.0.0 12.6.1 10.0.1 10.0.1 10.0.1 10.0.0 10.0.0 10.0.0 11.0.0 10.0.0 10.0.0 10.0.0 10.0.1 10.0.1 10.0.0 10.0.0 10.0.0 10.0.0 11.0.0 10.0.1 10.0.1
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 3.98 3.89 4.30 3.75 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 56.43 ± 1.74 / 11.67 ± 1.17 14.86 ± 1.85 / 33.52 ± 1.63 17.56 ± 2.63 / 45.31 ± 1.78 4.78 ± 1.48 / 27.73 ± 1.32 12.10 ± 5.58 / 12.85 ± 4.80 13.42 ± 6.02 / 13.82 ± 5.16 22.82 ± 3.11 / 43.88 ± 3.10 54.48 ± 1.91 / 8.22 ± 0.70 2.70 ± 2.16 / 47.68 ± 3.18 2.21 ± 1.46 / 42.80 ± 4.36 16.31 ± 2.22 / 30.78 ± 3.64 9.57 ± 1.11 / 30.18 ± 0.83 6.02 ± 0.84 / 28.58 ± 1.13 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 54.82 ± 1.62 / 14.43 ± 0.68 11.54 ± 0.73 / 32.55 ± 0.60 7.19 ± 1.40 / 29.76 ± 1.22 12.5.2 10.0.1 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
HPLT/gpt-7b-nordic-prerelease (few-shot) 7550 131 4096 True 5,404 ± 931 / 1,638 ± 542 3.99 3.79 4.44 3.74 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 58.21 ± 1.54 / 11.61 ± 1.16 0.00 ± 0.00 / 24.00 ± 0.73 -0.87 ± 1.27 / 35.70 ± 1.49 0.00 ± 0.00 / 25.18 ± 0.77 20.25 ± 6.26 / 20.45 ± 5.54 28.99 ± 5.03 / 27.50 ± 4.36 17.44 ± 3.49 / 35.51 ± 4.10 49.59 ± 1.68 / 5.67 ± 0.54 3.20 ± 1.84 / 34.58 ± 0.97 2.61 ± 1.80 / 34.49 ± 1.46 21.50 ± 2.60 / 40.73 ± 3.86 0.86 ± 0.91 / 21.96 ± 0.54 0.00 ± 0.00 / 25.02 ± 0.87 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 55.11 ± 1.21 / 12.07 ± 0.32 0.32 ± 0.43 / 21.99 ± 0.56 -0.00 ± 0.01 / 25.00 ± 0.77 12.5.2 12.3.2 12.3.2 12.3.2 12.6.1 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 12.3.2 12.3.2 12.3.2 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2
ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) 1335 49 4096 True 7,964 ± 2,255 / 1,299 ± 433 4.02 3.87 4.37 3.82 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 59.66 ± 0.68 / 13.59 ± 0.61 2.78 ± 1.18 / 25.53 ± 0.88 11.15 ± 3.42 / 38.81 ± 1.43 -1.22 ± 0.88 / 24.33 ± 0.84 36.99 ± 2.08 / 28.69 ± 2.20 37.27 ± 1.09 / 27.84 ± 2.23 19.55 ± 3.00 / 40.67 ± 3.28 56.69 ± 1.19 / 9.12 ± 0.79 1.95 ± 1.15 / 43.75 ± 3.47 2.31 ± 0.84 / 46.79 ± 2.89 7.33 ± 1.88 / 19.74 ± 2.82 -0.29 ± 0.94 / 22.82 ± 0.92 0.99 ± 0.77 / 25.16 ± 0.76 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 56.70 ± 0.93 / 11.49 ± 0.89 2.09 ± 1.31 / 25.41 ± 0.88 -0.46 ± 1.10 / 24.84 ± 0.93 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 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 4.02 3.93 4.31 3.82 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 62.56 ± 1.43 / 17.47 ± 1.30 2.18 ± 1.10 / 24.56 ± 1.33 4.94 ± 4.46 / 38.22 ± 2.74 1.84 ± 0.96 / 26.18 ± 0.79 26.90 ± 1.65 / 24.65 ± 2.00 34.59 ± 3.22 / 33.15 ± 3.49 31.06 ± 2.28 / 45.42 ± 3.29 53.77 ± 2.82 / 9.67 ± 1.55 0.21 ± 1.21 / 36.38 ± 2.87 -0.17 ± 2.08 / 40.22 ± 3.88 10.35 ± 0.92 / 22.83 ± 1.06 -0.16 ± 0.81 / 23.32 ± 0.68 1.32 ± 1.12 / 25.63 ± 0.98 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 54.39 ± 1.68 / 13.19 ± 0.61 -0.43 ± 1.13 / 24.95 ± 0.64 1.98 ± 0.99 / 26.14 ± 0.86 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 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-gpt-j-6B-alpaca (few-shot) 6055 50 1024 False 2,607 ± 592 / 680 ± 208 4.03 3.82 4.16 4.11 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 63.32 ± 0.32 / 16.03 ± 0.49 4.49 ± 1.44 / 27.32 ± 0.89 12.81 ± 4.57 / 37.83 ± 2.98 -0.68 ± 1.31 / 25.00 ± 0.79 23.82 ± 4.25 / 22.08 ± 2.50 26.04 ± 6.38 / 24.47 ± 3.69 32.60 ± 1.84 / 47.47 ± 3.33 58.08 ± 0.42 / 11.74 ± 0.50 0.34 ± 1.43 / 44.47 ± 2.44 2.26 ± 2.27 / 45.41 ± 3.25 21.33 ± 0.98 / 42.76 ± 1.02 2.13 ± 1.32 / 26.30 ± 1.12 1.87 ± 1.34 / 25.87 ± 0.75 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 46.68 ± 0.33 / 12.40 ± 0.17 -0.03 ± 1.31 / 23.73 ± 1.11 0.02 ± 0.88 / 25.04 ± 0.61 9.3.1 10.0.1 10.0.1 12.4.0 12.6.1 10.0.1 10.0.1 10.0.1 9.3.2 9.3.2 10.0.1 12.4.0 10.0.1 10.0.1 12.4.0 10.0.1 10.0.1 9.3.1 10.0.1 10.0.1 12.4.0 12.4.0 10.0.1 10.0.1
AI-Sweden-Models/gpt-sw3-356m (few-shot) 471 64 2048 True 5,758 ± 1,348 / 1,215 ± 391 4.10 3.97 4.20 4.13 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 59.05 ± 1.42 / 12.41 ± 1.13 1.00 ± 1.72 / 23.91 ± 0.88 4.85 ± 3.16 / 36.78 ± 1.41 0.28 ± 0.38 / 25.19 ± 0.78 27.37 ± 4.07 / 27.94 ± 4.04 31.22 ± 3.87 / 31.39 ± 3.99 34.21 ± 1.63 / 47.17 ± 2.76 54.28 ± 2.37 / 8.28 ± 0.99 0.92 ± 1.55 / 40.71 ± 2.58 1.25 ± 2.30 / 43.49 ± 3.20 18.52 ± 2.78 / 32.10 ± 4.23 0.33 ± 1.29 / 22.37 ± 1.03 0.11 ± 1.10 / 24.94 ± 0.94 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 51.36 ± 2.01 / 10.76 ± 0.54 -0.96 ± 1.08 / 21.85 ± 0.45 0.30 ± 0.48 / 25.10 ± 0.69 9.3.1 9.3.1 9.3.2 12.5.1 12.6.1 10.0.1 10.0.1 9.3.2 9.3.1 9.3.1 9.3.1 11.0.0 9.3.2 9.3.2 12.5.1 9.3.2 9.3.2 9.3.1 9.3.1 9.3.2 12.5.1 11.0.0 9.3.2 9.3.2
ibm-granite/granite-3.0-1b-a400m-base (few-shot) 1385 49 4096 True 7,808 ± 2,183 / 1,289 ± 428 4.13 4.02 4.42 3.96 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 60.13 ± 0.88 / 11.98 ± 0.53 0.29 ± 0.73 / 24.16 ± 0.72 0.55 ± 2.81 / 35.78 ± 1.38 -0.21 ± 0.87 / 25.02 ± 0.65 31.16 ± 1.45 / 30.20 ± 1.07 29.73 ± 2.46 / 28.89 ± 2.68 17.59 ± 2.80 / 35.34 ± 4.36 55.43 ± 1.50 / 8.39 ± 0.75 1.07 ± 1.90 / 44.05 ± 3.72 1.59 ± 1.56 / 41.39 ± 3.86 6.92 ± 0.87 / 14.48 ± 2.08 0.05 ± 1.23 / 22.29 ± 0.77 -0.10 ± 0.12 / 24.90 ± 0.84 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 54.80 ± 1.73 / 11.88 ± 0.60 -1.51 ± 0.67 / 21.83 ± 0.42 0.41 ± 0.57 / 25.25 ± 0.69 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 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
allenai/OLMo-7B (few-shot) 6888 50 2051 True 5,403 ± 1,133 / 1,294 ± 423 4.16 3.98 4.60 3.90 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 50.86 ± 0.68 / 9.46 ± 0.54 0.26 ± 1.33 / 23.32 ± 0.83 6.94 ± 1.82 / 37.66 ± 1.18 -0.11 ± 0.71 / 24.99 ± 0.40 34.42 ± 3.22 / 27.79 ± 2.40 35.17 ± 4.05 / 30.70 ± 3.37 21.46 ± 5.63 / 38.36 ± 6.18 45.34 ± 0.64 / 5.61 ± 0.21 0.34 ± 1.25 / 33.60 ± 0.50 0.26 ± 0.58 / 34.69 ± 3.11 0.12 ± 0.04 / 9.85 ± 0.17 2.61 ± 1.38 / 27.69 ± 0.74 0.96 ± 1.02 / 25.05 ± 0.84 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 41.03 ± 0.33 / 4.86 ± 0.09 -0.83 ± 1.04 / 25.47 ± 0.54 -0.62 ± 0.73 / 24.51 ± 0.53 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 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
mhenrichsen/danskgpt-tiny (few-shot) 1100 32 2048 True 8,597 ± 1,983 / 1,926 ± 600 4.21 3.98 4.45 4.19 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 62.61 ± 0.99 / 15.12 ± 0.59 -2.76 ± 1.71 / 22.41 ± 1.17 5.08 ± 2.61 / 35.14 ± 1.72 -0.70 ± 0.94 / 24.83 ± 0.59 27.37 ± 6.89 / 27.19 ± 7.19 27.59 ± 6.34 / 28.03 ± 6.94 18.09 ± 6.14 / 31.83 ± 6.77 56.77 ± 2.04 / 9.18 ± 1.21 -0.19 ± 1.93 / 41.38 ± 3.18 -0.80 ± 0.89 / 40.66 ± 3.78 5.84 ± 1.36 / 16.14 ± 2.48 -0.50 ± 1.10 / 23.75 ± 0.96 0.07 ± 1.21 / 25.26 ± 0.95 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 52.68 ± 0.76 / 11.19 ± 0.36 -0.85 ± 1.05 / 24.38 ± 0.51 -1.24 ± 0.90 / 24.30 ± 0.63 0.0.0 0.0.0 0.0.0 12.5.1 12.6.1 10.0.1 10.0.1 0.0.0 0.0.0 0.0.0 0.0.0 11.0.0 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 11.0.0 0.0.0 0.0.0
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.27 4.35 4.45 4.00 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 56.92 ± 0.98 / 8.57 ± 0.76 0.10 ± 1.50 / 26.50 ± 1.00 4.29 ± 5.87 / 35.00 ± 1.75 -0.88 ± 1.17 / 24.43 ± 0.74 21.04 ± 2.63 / 20.44 ± 2.47 18.71 ± 2.67 / 19.91 ± 2.89 12.22 ± 1.17 / 23.50 ± 3.03 53.49 ± 5.64 / 9.38 ± 1.34 -1.18 ± 1.40 / 35.70 ± 2.67 0.36 ± 1.28 / 37.66 ± 4.07 26.86 ± 1.65 / 50.11 ± 1.80 0.21 ± 0.83 / 26.88 ± 1.44 -0.30 ± 1.13 / 24.48 ± 0.70 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 55.44 ± 0.79 / 12.95 ± 0.51 1.12 ± 0.42 / 25.27 ± 0.68 -0.91 ± 0.96 / 24.26 ± 0.64 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 9.3.1 9.3.1 11.0.0 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 11.0.0 9.3.1 9.3.1
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 4.29 4.19 4.59 4.08 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 55.57 ± 1.04 / 8.04 ± 0.82 7.21 ± 1.78 / 29.73 ± 1.08 16.56 ± 3.13 / 42.30 ± 1.26 0.62 ± 1.30 / 25.65 ± 0.72 34.46 ± 2.01 / 33.09 ± 2.32 33.41 ± 2.21 / 33.91 ± 2.33 6.31 ± 3.46 / 20.67 ± 2.69 49.88 ± 3.11 / 5.75 ± 0.88 -1.59 ± 1.08 / 36.27 ± 3.71 0.61 ± 1.41 / 38.84 ± 5.10 5.95 ± 1.53 / 16.20 ± 1.93 2.81 ± 1.18 / 25.21 ± 0.98 2.92 ± 0.88 / 26.67 ± 0.60 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 53.36 ± 1.44 / 12.82 ± 0.58 6.52 ± 1.02 / 28.83 ± 0.78 1.91 ± 1.30 / 26.10 ± 0.65 12.5.2 10.0.1 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2051 True 5,484 ± 1,125 / 1,317 ± 425 4.32 4.18 4.78 4.01 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 53.01 ± 1.10 / 10.72 ± 0.80 2.17 ± 1.53 / 23.73 ± 0.99 0.22 ± 2.74 / 35.08 ± 1.48 -0.65 ± 1.58 / 24.75 ± 1.03 9.06 ± 6.86 / 8.39 ± 6.41 17.16 ± 6.21 / 16.00 ± 5.94 25.52 ± 3.72 / 41.44 ± 4.44 40.94 ± 0.78 / 5.09 ± 0.25 0.68 ± 1.54 / 45.09 ± 2.63 0.17 ± 2.27 / 42.02 ± 4.30 0.46 ± 0.07 / 6.96 ± 0.13 2.43 ± 1.10 / 24.94 ± 0.98 2.35 ± 0.86 / 26.35 ± 0.78 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 39.53 ± 0.34 / 5.71 ± 0.10 0.69 ± 0.90 / 24.20 ± 0.89 0.12 ± 1.51 / 24.97 ± 1.28 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 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
AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) 186 64 2048 True 7,717 ± 1,553 / 2,013 ± 625 4.36 4.28 4.51 4.28 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 60.87 ± 0.92 / 12.82 ± 1.14 0.53 ± 1.10 / 24.39 ± 0.85 4.72 ± 3.89 / 35.76 ± 1.86 -0.07 ± 0.75 / 24.90 ± 0.90 27.66 ± 2.00 / 28.61 ± 2.15 30.88 ± 2.13 / 31.97 ± 2.10 5.13 ± 3.33 / 20.41 ± 3.12 58.91 ± 0.95 / 9.74 ± 0.45 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 7.55 ± 1.17 / 15.63 ± 2.64 -0.68 ± 1.27 / 22.92 ± 0.65 0.32 ± 0.59 / 25.12 ± 0.69 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 59.80 ± 0.93 / 14.56 ± 0.36 0.72 ± 0.72 / 23.30 ± 0.96 0.11 ± 0.91 / 25.15 ± 0.81 11.0.0 9.3.2 11.0.0 12.4.0 12.6.1 11.0.0 11.0.0 11.0.0 11.0.0 11.0.0 9.3.2 12.4.0 11.0.0 11.0.0 12.4.0 11.0.0 11.0.0 9.3.2 9.3.2 11.0.0 12.4.0 12.4.0 11.0.0 11.0.0
HuggingFaceTB/SmolLM2-360M (few-shot) 362 49 8192 True 22,023 ± 6,203 / 3,675 ± 1,231 4.53 4.39 4.74 4.46 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 56.85 ± 1.37 / 10.17 ± 1.17 -0.03 ± 0.59 / 23.99 ± 0.76 6.03 ± 3.05 / 37.58 ± 1.59 0.20 ± 0.86 / 25.12 ± 0.70 26.60 ± 1.99 / 23.60 ± 2.05 23.70 ± 1.58 / 23.04 ± 2.17 6.21 ± 2.55 / 23.74 ± 3.28 48.59 ± 1.59 / 6.80 ± 0.45 -0.39 ± 0.76 / 33.40 ± 0.31 0.21 ± 0.41 / 35.33 ± 3.02 4.65 ± 1.00 / 10.23 ± 1.68 -1.13 ± 0.96 / 21.80 ± 0.52 -0.51 ± 0.40 / 24.82 ± 0.86 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 45.57 ± 0.97 / 9.20 ± 0.68 0.69 ± 0.65 / 22.10 ± 0.54 0.68 ± 0.79 / 25.25 ± 0.76 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 4.54 4.12 5.38 4.12 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 55.87 ± 5.22 / 11.87 ± 1.03 4.56 ± 1.88 / 25.87 ± 1.72 22.41 ± 3.16 / 42.73 ± 0.96 1.71 ± 0.99 / 25.84 ± 0.79 29.52 ± 1.48 / 29.79 ± 1.62 31.27 ± 1.30 / 31.91 ± 1.31 11.49 ± 1.38 / 27.12 ± 1.98 9.92 ± 8.37 / 1.42 ± 1.14 0.29 ± 1.58 / 40.21 ± 4.22 -0.12 ± 1.48 / 39.92 ± 3.90 7.80 ± 1.19 / 17.09 ± 2.72 0.29 ± 1.08 / 24.63 ± 0.79 0.49 ± 1.19 / 24.95 ± 0.86 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 53.29 ± 6.52 / 13.04 ± 1.68 2.59 ± 0.72 / 26.87 ± 0.72 -0.84 ± 1.01 / 24.44 ± 0.61 12.5.2 11.0.0 12.1.0 12.4.0 12.6.1 12.1.0 12.1.0 12.1.0 12.5.2 12.5.2 11.0.0 12.5.0 12.1.0 12.1.0 12.4.0 12.1.0 12.1.0 12.5.2 11.0.0 12.1.0 12.4.0 12.5.0 12.1.0 12.1.0
allenai/OLMo-1B (few-shot) 1177 50 2051 True 8,536 ± 1,926 / 1,940 ± 619 4.58 4.52 4.86 4.35 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 48.87 ± 1.42 / 5.39 ± 0.62 -0.33 ± 0.61 / 23.91 ± 0.71 0.05 ± 2.96 / 34.67 ± 1.78 -0.08 ± 0.81 / 25.21 ± 0.56 30.79 ± 1.95 / 32.18 ± 1.98 31.12 ± 2.36 / 33.10 ± 2.68 9.95 ± 3.92 / 29.01 ± 2.80 40.45 ± 0.43 / 4.00 ± 0.12 -0.95 ± 1.87 / 39.37 ± 3.33 -0.04 ± 1.73 / 42.36 ± 4.61 0.00 ± 0.00 / 3.06 ± 0.05 0.32 ± 1.03 / 24.22 ± 1.37 0.12 ± 0.91 / 24.92 ± 0.59 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 43.75 ± 0.28 / 4.67 ± 0.12 -0.22 ± 0.80 / 23.76 ± 0.84 0.75 ± 1.00 / 25.27 ± 0.56 12.5.2 12.1.0 12.1.0 12.1.0 12.6.1 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 12.1.0 12.1.0 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) 362 49 8192 True 21,777 ± 6,115 / 3,617 ± 1,211 4.64 4.46 4.76 4.71 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 55.39 ± 0.68 / 10.01 ± 0.63 0.28 ± 0.93 / 23.92 ± 0.72 3.55 ± 3.45 / 35.45 ± 1.54 -0.41 ± 1.41 / 25.02 ± 0.71 20.37 ± 5.55 / 21.57 ± 3.57 21.27 ± 5.10 / 22.34 ± 4.41 7.60 ± 2.24 / 26.47 ± 2.89 49.27 ± 1.15 / 7.39 ± 0.36 1.31 ± 1.92 / 45.75 ± 3.36 0.51 ± 1.81 / 38.71 ± 2.95 4.80 ± 1.18 / 10.53 ± 2.12 -0.90 ± 0.97 / 21.85 ± 0.55 -1.00 ± 0.70 / 24.21 ± 0.55 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 37.49 ± 0.77 / 9.36 ± 0.25 -0.00 ± 0.96 / 22.03 ± 0.45 0.78 ± 1.51 / 25.50 ± 0.87 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) 7537 68 4096 True 3,024 ± 496 / 909 ± 301 4.64 4.51 4.79 4.61 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 55.58 ± 0.58 / 10.39 ± 0.63 -0.11 ± 1.59 / 25.69 ± 0.65 -2.13 ± 4.41 / 33.89 ± 3.03 0.88 ± 0.62 / 25.49 ± 0.74 12.77 ± 3.48 / 14.13 ± 3.09 10.51 ± 3.44 / 9.95 ± 3.51 8.70 ± 4.43 / 25.39 ± 3.30 49.76 ± 2.04 / 6.51 ± 0.86 0.00 ± 1.60 / 38.54 ± 3.41 0.82 ± 1.39 / 37.77 ± 4.45 1.85 ± 0.82 / 10.19 ± 1.99 -2.42 ± 1.29 / 21.73 ± 0.58 1.23 ± 1.22 / 25.06 ± 0.70 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 48.74 ± 1.72 / 10.30 ± 0.36 -0.62 ± 1.15 / 22.04 ± 0.67 0.99 ± 1.35 / 25.36 ± 0.92 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
HuggingFaceTB/SmolLM2-135M (few-shot) 135 49 8192 True 26,346 ± 7,812 / 4,082 ± 1,372 4.66 4.72 4.67 4.59 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 47.44 ± 1.55 / 6.04 ± 0.58 -0.58 ± 2.44 / 25.72 ± 1.40 10.99 ± 5.42 / 38.26 ± 1.92 -0.51 ± 1.30 / 24.79 ± 0.70 24.37 ± 2.17 / 26.91 ± 2.28 24.69 ± 1.85 / 27.60 ± 2.48 8.84 ± 4.19 / 29.74 ± 3.45 53.61 ± 2.33 / 6.64 ± 0.79 -1.20 ± 1.10 / 36.09 ± 3.06 -0.50 ± 1.21 / 36.68 ± 3.16 0.16 ± 0.13 / 2.31 ± 0.44 -0.81 ± 0.69 / 24.67 ± 1.24 -0.71 ± 1.01 / 24.42 ± 0.63 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 51.51 ± 1.96 / 11.46 ± 0.73 0.02 ± 1.30 / 25.25 ± 0.94 0.04 ± 0.79 / 24.92 ± 0.73 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.66 4.60 4.84 4.54 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 61.25 ± 0.17 / 12.03 ± 0.21 0.00 ± 0.00 / 24.00 ± 0.73 0.00 ± 0.00 / 35.86 ± 1.26 0.04 ± 0.14 / 25.18 ± 0.77 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.95 ± 0.80 / 9.68 ± 0.28 59.32 ± 0.11 / 9.47 ± 0.12 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 33.45 ± 0.27 0.18 ± 0.35 / 21.91 ± 0.52 0.30 ± 0.40 / 25.03 ± 0.88 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 59.04 ± 0.07 / 10.84 ± 0.09 -0.25 ± 0.97 / 21.96 ± 0.57 0.08 ± 0.78 / 24.93 ± 0.77 9.3.1 9.3.1 9.3.1 12.5.1 12.6.1 10.0.1 10.0.1 9.3.1 9.3.1 9.3.1 9.3.1 11.0.0 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 11.0.0 9.3.1 9.3.1
AI-Sweden-Models/gpt-sw3-126m (few-shot) 186 64 2048 True 8,958 ± 1,815 / 2,240 ± 696 4.68 4.60 4.83 4.61 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 52.34 ± 1.60 / 8.84 ± 0.78 -0.58 ± 0.97 / 24.00 ± 0.77 5.18 ± 4.75 / 36.68 ± 2.20 -1.28 ± 0.99 / 24.75 ± 0.93 13.55 ± 6.73 / 15.90 ± 5.66 9.38 ± 4.88 / 11.18 ± 4.52 7.78 ± 3.76 / 21.70 ± 5.02 51.68 ± 2.20 / 7.39 ± 0.89 -1.46 ± 1.07 / 43.30 ± 2.30 -2.97 ± 1.29 / 44.41 ± 3.18 2.32 ± 0.68 / 6.65 ± 1.90 0.39 ± 1.28 / 23.22 ± 0.56 -0.80 ± 0.71 / 24.77 ± 0.62 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 51.48 ± 1.14 / 10.63 ± 0.31 -0.49 ± 0.60 / 22.53 ± 0.75 1.17 ± 0.86 / 25.54 ± 0.87 9.2.0 9.2.0 9.2.0 12.5.1 12.6.1 10.0.1 10.0.1 9.2.0 9.2.0 9.2.0 9.2.0 11.0.0 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 11.0.0 9.2.0 9.2.0
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) 135 49 8192 True 25,602 ± 7,583 / 3,953 ± 1,325 4.69 4.51 4.75 4.80 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 56.53 ± 0.95 / 8.45 ± 0.77 1.05 ± 1.51 / 26.37 ± 0.83 10.81 ± 4.60 / 38.73 ± 1.77 -0.50 ± 0.85 / 24.15 ± 0.67 20.89 ± 2.55 / 22.28 ± 2.32 19.62 ± 1.91 / 21.82 ± 2.35 2.78 ± 4.25 / 26.17 ± 3.37 53.93 ± 2.39 / 6.60 ± 0.99 -0.98 ± 1.80 / 40.63 ± 4.03 0.93 ± 2.26 / 40.91 ± 4.95 0.15 ± 0.13 / 2.19 ± 0.57 -0.48 ± 1.78 / 25.53 ± 1.87 -0.53 ± 0.95 / 24.68 ± 0.62 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 38.30 ± 1.88 / 8.09 ± 0.47 0.30 ± 0.87 / 25.76 ± 0.77 0.06 ± 1.19 / 24.33 ± 0.53 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 512 True 1,373 ± 120 / 709 ± 172 4.70 4.66 4.83 4.60 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 61.06 ± 0.14 / 12.02 ± 0.15 0.00 ± 0.00 / 24.00 ± 0.73 0.00 ± 0.00 / 35.86 ± 1.26 0.15 ± 0.64 / 25.21 ± 0.79 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 1.27 ± 1.21 / 9.77 ± 0.51 59.10 ± 0.12 / 9.14 ± 0.11 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 32.25 ± 0.29 0.83 ± 0.90 / 21.96 ± 0.50 0.09 ± 0.50 / 25.03 ± 0.89 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 58.16 ± 0.07 / 8.81 ± 0.07 0.47 ± 0.86 / 22.03 ± 0.59 0.71 ± 0.64 / 25.02 ± 0.72 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 11.0.0 10.0.1 10.0.1 10.0.1 11.0.0 10.0.1 10.0.1 10.0.1 10.0.1 11.0.0 10.0.1 10.0.1 10.0.1 10.0.1 11.0.0 10.0.1 11.0.0
NbAiLab/nb-gpt-j-6B-v2 (few-shot) 6051 50 1024 False 2,556 ± 580 / 681 ± 214 4.77 4.55 4.83 4.94 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 53.76 ± 0.47 / 11.17 ± 0.49 -1.83 ± 1.68 / 23.94 ± 1.25 0.99 ± 3.76 / 34.10 ± 2.62 -0.48 ± 0.94 / 24.73 ± 0.61 5.29 ± 4.68 / 4.93 ± 4.38 6.77 ± 6.18 / 6.78 ± 5.66 20.84 ± 6.06 / 35.78 ± 5.94 44.23 ± 0.84 / 6.81 ± 0.16 0.45 ± 1.09 / 34.65 ± 1.93 0.48 ± 0.66 / 32.86 ± 0.34 2.43 ± 0.61 / 22.78 ± 2.29 0.17 ± 1.46 / 24.43 ± 1.54 -0.49 ± 0.65 / 24.19 ± 0.56 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 27.09 ± 0.29 / 6.80 ± 0.12 -0.67 ± 0.81 / 22.55 ± 0.71 0.86 ± 0.82 / 25.38 ± 0.51 9.3.1 10.0.1 11.0.0 12.5.1 12.6.1 11.0.0 11.0.0 11.0.0 9.3.1 9.3.1 10.0.1 11.0.0 11.0.0 11.0.0 12.5.1 11.0.0 11.0.0 9.3.1 10.0.1 11.0.0 12.5.1 11.0.0 11.0.0 11.0.0
NbAiLab/nb-gpt-j-6B@sharded (few-shot) unknown 50 1024 True 2,630 ± 605 / 684 ± 217 4.94 4.75 5.04 5.03 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 51.83 ± 0.77 / 10.14 ± 0.49 -0.96 ± 1.47 / 23.86 ± 1.33 3.51 ± 3.46 / 35.41 ± 2.22 0.73 ± 1.39 / 25.54 ± 1.00 0.22 ± 0.21 / 1.66 ± 1.38 0.24 ± 0.40 / 1.43 ± 1.97 20.64 ± 5.63 / 36.75 ± 3.29 38.55 ± 0.48 / 5.75 ± 0.20 -0.99 ± 0.88 / 33.37 ± 0.27 -0.15 ± 0.72 / 32.83 ± 0.34 0.53 ± 0.31 / 22.14 ± 2.25 0.63 ± 1.48 / 24.41 ± 1.24 -0.09 ± 0.80 / 24.42 ± 0.74 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 26.97 ± 0.41 / 6.56 ± 0.18 -0.11 ± 1.16 / 23.32 ± 0.92 0.56 ± 1.22 / 24.79 ± 0.91 9.3.1 10.0.1 10.0.1 12.5.1 12.6.1 10.0.1 10.0.1 10.0.1 9.3.1 9.3.1 10.0.1 11.0.0 10.0.1 10.0.1 12.5.1 10.0.1 10.0.1 9.3.1 10.0.1 10.0.1 12.5.1 11.0.0 10.0.1 10.0.1
NorGLM/NorGPT-369M (few-shot) unknown 64 1024 True 19,896 ± 5,099 / 3,848 ± 1,251 4.98 4.81 5.06 5.06 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 54.00 ± 0.80 / 9.08 ± 0.87 -2.57 ± 2.04 / 23.19 ± 1.37 3.26 ± 1.64 / 29.55 ± 2.52 -0.62 ± 0.87 / 24.55 ± 0.66 3.14 ± 2.12 / 2.91 ± 2.02 3.00 ± 1.58 / 2.65 ± 1.41 3.41 ± 2.11 / 14.87 ± 2.38 45.57 ± 1.88 / 4.96 ± 0.39 0.22 ± 0.42 / 33.42 ± 0.29 0.27 ± 0.79 / 38.20 ± 3.48 0.00 ± 0.00 / 2.27 ± 0.89 -0.45 ± 1.48 / 24.16 ± 1.48 -0.27 ± 0.89 / 24.77 ± 0.63 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 37.40 ± 0.61 / 6.53 ± 0.13 -0.53 ± 1.01 / 24.38 ± 1.08 0.25 ± 1.22 / 25.23 ± 0.73 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 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 5.03 4.93 5.18 4.97 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 50.23 ± 0.89 / 6.09 ± 0.27 0.90 ± 0.92 / 26.20 ± 1.02 4.10 ± 2.68 / 33.71 ± 1.88 0.04 ± 1.16 / 25.21 ± 0.48 0.29 ± 0.29 / 0.29 ± 0.27 0.25 ± 0.17 / 0.27 ± 0.21 -1.43 ± 1.45 / 20.90 ± 4.96 41.89 ± 1.40 / 3.46 ± 0.33 -0.42 ± 1.10 / 35.77 ± 3.09 1.11 ± 2.21 / 39.28 ± 4.12 0.00 ± 0.00 / 3.15 ± 0.55 0.69 ± 0.71 / 24.93 ± 0.99 0.55 ± 0.68 / 25.11 ± 0.43 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 41.84 ± 0.24 / 5.74 ± 0.09 -0.41 ± 1.39 / 24.48 ± 0.97 0.52 ± 0.81 / 25.32 ± 0.65 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 11.0.0 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 11.0.0 10.0.1 10.0.1
ssmits/Falcon2-5.5B-multilingual (few-shot) 5465 65 8192 True 7,692 ± 1,423 / 1,960 ± 644 5.13 5.15 5.17 5.08 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 42.82 ± 0.93 / 0.20 ± 0.02 4.55 ± 2.15 / 25.74 ± 1.15 -1.17 ± 3.12 / 34.84 ± 1.63 -1.26 ± 1.34 / 24.88 ± 0.69 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 9.59 ± 0.29 41.98 ± 0.64 / 0.21 ± 0.04 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 0.09 ± 0.03 1.14 ± 1.04 / 24.51 ± 0.78 0.64 ± 1.18 / 24.68 ± 0.55 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 40.82 ± 1.17 / 0.34 ± 0.05 1.19 ± 1.32 / 24.74 ± 1.06 1.55 ± 0.84 / 25.30 ± 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 5.24 5.23 5.30 5.18 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 35.64 ± 4.11 / 4.70 ± 2.01 -0.61 ± 0.54 / 24.71 ± 1.18 6.94 ± 3.67 / 38.18 ± 1.72 -1.12 ± 0.87 / 24.71 ± 0.88 0.08 ± 0.16 / 0.07 ± 0.14 0.00 ± 0.00 / 0.00 ± 0.00 4.76 ± 1.84 / 16.95 ± 5.07 31.66 ± 0.51 / 0.93 ± 0.29 0.67 ± 1.94 / 40.42 ± 4.43 -0.88 ± 1.89 / 40.70 ± 4.30 0.00 ± 0.00 / 0.74 ± 0.05 0.72 ± 0.81 / 22.86 ± 0.63 -0.20 ± 1.06 / 24.94 ± 0.69 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 31.89 ± 0.27 / 2.03 ± 0.10 -0.37 ± 1.08 / 22.43 ± 0.55 0.36 ± 0.83 / 25.08 ± 0.77 9.3.1 10.0.1 11.0.0 12.5.1 12.6.1 11.0.0 11.0.0 11.0.0 9.3.1 9.3.1 10.0.1 12.0.0 11.0.0 11.0.0 12.5.1 11.0.0 11.0.0 9.3.1 10.0.1 11.0.0 12.5.1 12.0.0 11.0.0 11.0.0
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 5.25 5.35 5.23 5.16 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 37.85 ± 0.55 / 0.76 ± 0.08 0.26 ± 0.46 / 23.72 ± 0.47 -0.75 ± 1.90 / 34.96 ± 1.13 -0.88 ± 0.48 / 24.60 ± 0.50 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 9.59 ± 0.29 39.58 ± 0.08 / 0.78 ± 0.04 0.00 ± 0.00 / 33.25 ± 0.30 0.00 ± 0.00 / 32.79 ± 0.34 0.00 ± 0.00 / 0.47 ± 0.03 0.18 ± 0.69 / 22.92 ± 0.50 -0.09 ± 0.53 / 24.70 ± 0.47 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 39.68 ± 0.08 / 1.23 ± 0.02 -0.20 ± 0.77 / 24.13 ± 0.67 -0.25 ± 0.67 / 24.68 ± 0.44 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 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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