Norwegian NLG 🇳🇴

Last updated: 09/12/2024 18:01:17 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank NorNE-nb NorNE-nn NoReC No Sammendrag ScaLA-nb ScaLA-nn NorQuAD MMLU-no HellaSwag-no 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
gpt-4-0613 (few-shot, val) unknown 100 8191 True 597 ± 197 / 93 ± 33 1.18 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 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
gpt-4o-2024-05-13 (few-shot, val) unknown 200 128000 True 916 ± 329 / 114 ± 38 1.33 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 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
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.34 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 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
meta-llama/Meta-Llama-3-70B (few-shot, val) 70554 128 8192 True 312 ± 55 / 177 ± 51 1.45 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 12.7.0 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 1.63 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 13.0.0 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 1.86 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 12.7.0 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-it (few-shot) 9242 256 8193 True 2,062 ± 397 / 589 ± 178 1.87 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
abhishek/autotrain-llama3-oh-sft-v0-2 (few-shot) 70554 128 8192 False 2,668 ± 802 / 411 ± 135 1.89 80.97 ± 1.73 / 74.56 ± 3.82 79.69 ± 0.64 / 75.12 ± 2.70 63.91 ± 1.74 / 75.51 ± 1.63 65.47 ± 0.63 / 18.47 ± 1.15 39.82 ± 3.91 / 60.91 ± 4.26 26.86 ± 2.91 / 53.05 ± 3.88 47.06 ± 3.13 / 75.80 ± 2.01 60.88 ± 0.68 / 70.60 ± 0.54 57.46 ± 3.09 / 66.74 ± 2.82 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
google/gemma-2-27b (few-shot) 27227 256 8193 True 1,531 ± 264 / 489 ± 149 1.94 42.58 ± 1.77 / 43.06 ± 1.89 40.43 ± 0.91 / 40.42 ± 1.46 64.15 ± 2.03 / 76.14 ± 1.68 66.84 ± 1.04 / 22.18 ± 1.49 51.59 ± 5.86 / 72.57 ± 4.90 42.41 ± 3.62 / 68.76 ± 3.06 58.55 ± 6.45 / 80.21 ± 4.49 57.29 ± 0.87 / 67.76 ± 0.69 53.73 ± 5.15 / 63.55 ± 4.76 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
gpt-3.5-turbo-0613 (few-shot, val) unknown 100 4095 True 921 ± 293 / 113 ± 37 2.02 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 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
google/gemma-2-9b (few-shot) 9242 256 8193 True 2,038 ± 406 / 566 ± 172 2.03 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32764 True 2,126 ± 676 / 319 ± 104 2.14 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
gpt-4o-mini-2024-07-18 (few-shot) unknown 200 128000 True 1,171 ± 378 / 120 ± 39 2.18 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 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 2.24 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 12.7.0 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 2.26 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
mistralai/Mistral-Nemo-Instruct-2407 (few-shot) 12248 131 1024001 True 7,095 ± 2,193 / 1,063 ± 344 2.28 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
upstage/SOLAR-10.7B-v1.0 (few-shot) 10732 32 4096 True 3,780 ± 906 / 799 ± 261 2.40 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 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
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 2.45 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 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 2.48 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 13.0.0 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-Llama3-8b (few-shot) 8030 128 8192 False 3,695 ± 1,277 / 532 ± 183 2.51 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 12.7.0 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/Llama-3-8B-instruct (few-shot) 8030 128 8192 False 4,314 ± 1,202 / 776 ± 245 2.53 85.07 ± 0.60 / 84.47 ± 0.48 81.43 ± 0.59 / 79.70 ± 0.68 38.52 ± 2.49 / 53.36 ± 2.80 65.02 ± 0.45 / 16.74 ± 0.52 0.00 ± 0.00 / 33.41 ± 0.30 0.00 ± 0.00 / 33.86 ± 0.33 40.52 ± 2.89 / 66.67 ± 3.21 41.57 ± 0.66 / 55.57 ± 0.53 72.25 ± 0.79 / 78.88 ± 0.64 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
meta-llama/Llama-3.1-8B (few-shot) 8030 128 131073 True 2,439 ± 459 / 703 ± 219 2.53 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 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
abhishek/autotrain-llama3-orpo-v2 (few-shot) 8030 128 8192 False 8,532 ± 2,749 / 1,177 ± 399 2.55 74.62 ± 1.74 / 66.51 ± 2.71 74.22 ± 1.16 / 67.02 ± 2.57 51.30 ± 3.11 / 66.17 ± 3.21 63.93 ± 0.56 / 14.84 ± 0.94 26.03 ± 2.08 / 61.04 ± 2.00 19.90 ± 1.99 / 58.22 ± 1.98 45.31 ± 3.83 / 71.62 ± 3.39 33.28 ± 0.73 / 48.46 ± 0.57 30.60 ± 2.00 / 45.31 ± 2.06 12.8.0 12.8.0 12.8.0 12.8.0 12.8.0 12.8.0 12.8.0 12.8.0 12.8.0
bineric/NorskGPT-Mistral-7b (few-shot) 7242 32 32768 False 2,443 ± 451 / 761 ± 237 2.55 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 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
meta-llama/Llama-3.1-8B-Instruct (few-shot) 8030 128 131073 True 2,411 ± 465 / 686 ± 215 2.56 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 13.0.0 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/Munin-NeuralBeagle-NorskGPT (few-shot, val) 7242 32 32768 False 2,903 ± 407 / 1,157 ± 350 2.58 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 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
birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) 7242 32 32768 False 2,856 ± 391 / 1,142 ± 342 2.58 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 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
skole-gpt-mixtral (few-shot) unknown 32 32768 False 3,583 ± 977 / 686 ± 231 2.60 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 2.61 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 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
RJuro/munin-neuralbeagle-7b (few-shot, val) 7242 32 32768 False 2,493 ± 466 / 773 ± 243 2.65 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 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
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 4,687 ± 1,121 / 967 ± 313 2.65 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 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 2.65 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 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
four-two-labs/orpo-llama-3-swe (few-shot) 8030 128 8192 False 4,974 ± 1,208 / 1,032 ± 342 2.66 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 12.7.0 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 3843 True 1,979 ± 621 / 320 ± 105 2.72 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) 8030 128 8192 False 5,018 ± 1,216 / 996 ± 324 2.75 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.78 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 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
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.78 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 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
CohereForAI/aya-expanse-8b (few-shot) 8028 256 8192 False 5,581 ± 1,066 / 1,471 ± 483 2.79 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 13.0.0 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-9B-Instruct (few-shot) 9152 128 4096 False 5,763 ± 1,178 / 1,390 ± 446 2.79 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 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,890 ± 401 / 1,155 ± 348 2.81 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 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
Mabeck/Heidrun-Mistral-7B-chat (few-shot) 7242 32 32768 False 5,822 ± 1,283 / 1,336 ± 430 2.82 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 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
google/gemma-7b (few-shot) 8538 256 8067 True 1,378 ± 260 / 387 ± 119 2.83 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 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
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.85 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 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
timpal0l/BeagleCatMunin (few-shot, val) 7242 32 32768 False 2,495 ± 458 / 775 ± 244 2.85 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 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
birgermoell/Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,887 ± 403 / 1,144 ± 345 2.88 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 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
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) 7242 32 8192 True 6,113 ± 1,044 / 1,790 ± 579 2.89 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 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
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) 7242 32 32768 False 3,008 ± 429 / 991 ± 323 2.90 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 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
birgermoell/Rapid-Cycling (few-shot, val) 7242 32 32768 False 2,346 ± 450 / 666 ± 249 2.90 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 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
ibm-granite/granite-3.0-8b-base (few-shot) 8171 49 4096 True 5,116 ± 943 / 1,436 ± 472 2.90 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) 7242 32 32768 True 2,443 ± 458 / 750 ± 240 2.90 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 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1 10.0.1
AI-Sweden-Models/Llama-3-8B (few-shot) 8030 128 8192 True 4,141 ± 994 / 905 ± 299 2.92 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 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
timpal0l/njord-alpha (few-shot) 7242 32 32768 True 5,431 ± 1,267 / 1,139 ± 365 2.92 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
KennethEnevoldsen/munin_mistral-7b (few-shot, val) 7242 32 32768 False 2,543 ± 466 / 787 ± 247 2.93 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 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
merge-crew/da-sv-slerp (few-shot, val) 7242 32 32768 True 2,467 ± 469 / 762 ± 244 2.94 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 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
bineric/NorskGPT-Llama-13B-v0.1 (few-shot) 13016 32 4096 False 2,856 ± 645 / 709 ± 243 2.96 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 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4
merge-crew/da-sv-task-arithmetic (few-shot, val) 7242 32 32768 True 2,500 ± 469 / 762 ± 238 2.96 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 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-ties (few-shot, val) 7242 32 32768 True 2,457 ± 451 / 757 ± 237 2.97 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 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
ibm-granite/granite-3.0-8b-instruct (few-shot) 8171 49 4096 True 5,090 ± 937 / 1,423 ± 466 2.99 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 13.0.0 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/tyr (few-shot, val) 7242 32 32768 False 6,079 ± 1,051 / 1,760 ± 570 3.03 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 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
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) 7242 32 32768 True 2,515 ± 465 / 785 ± 247 3.03 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 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
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) 7242 32 32768 False 3,006 ± 479 / 1,053 ± 319 3.05 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 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
timpal0l/Llama-3-8B-flashback-v1 (few-shot) 8030 128 8192 True 4,807 ± 1,152 / 979 ± 319 3.05 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 3.06 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 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
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 3.06 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 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
mhenrichsen/hestenettetLM (few-shot) 7242 32 32768 True 5,160 ± 804 / 1,654 ± 516 3.08 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 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
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4096 False 3,254 ± 1,068 / 484 ± 173 3.09 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 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-chat-hf (few-shot) 13016 32 4096 True 2,849 ± 622 / 723 ± 229 3.09 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 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
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 3.10 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 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
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 3.10 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 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
mistralai/Mistral-7B-v0.3 (few-shot) 7248 33 32768 True 4,120 ± 976 / 926 ± 306 3.10 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 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
google/gemma-2-2b-it (few-shot) 2614 256 8193 True 5,374 ± 1,233 / 1,193 ± 377 3.16 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 13.0.0 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 3.16 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 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
CohereForAI/aya-23-8B (few-shot) 8028 256 8192 False 5,608 ± 1,062 / 1,472 ± 479 3.18 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Mabeck/Heidrun-Mistral-7B-base (few-shot) 7242 32 32768 True 3,823 ± 967 / 860 ± 280 3.19 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 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
google/gemma-7b-it (few-shot) 8538 256 8192 False 1,792 ± 249 / 668 ± 203 3.21 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 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
meta-llama/Llama-2-13b-hf (few-shot) 13016 32 4096 True 2,898 ± 637 / 736 ± 236 3.22 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 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
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 3.22 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 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
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 3.25 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 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
danish-foundation-models/munin-7b-alpha (few-shot) 7242 32 32768 True 6,116 ± 1,049 / 1,784 ± 577 3.29 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 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
ibm-granite/granite-8b-code-base-4k (few-shot) 8055 49 4096 True 2,313 ± 423 / 682 ± 210 3.34 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-3.2-3B-Instruct (few-shot) 3213 128 131073 False 10,424 ± 2,641 / 2,081 ± 666 3.34 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 13.0.0 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 3.34 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 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
meta-llama/Llama-3.2-3B (few-shot) 3213 128 131073 True 3,713 ± 877 / 836 ± 267 3.35 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) 7242 32 32768 False 2,518 ± 463 / 779 ± 243 3.35 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 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
ibm-granite/granite-3.0-2b-instruct (few-shot) 2634 49 4097 True 10,194 ± 2,403 / 2,193 ± 731 3.36 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) 8030 128 131072 True 2,841 ± 509 / 865 ± 263 3.37 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 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
01-ai/Yi-1.5-6B (few-shot) 6061 64 4097 True 2,867 ± 550 / 793 ± 253 3.40 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 13.0.0 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-instruct-4k (few-shot) 8055 49 4096 True 5,617 ± 995 / 1,623 ± 540 3.41 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 3.43 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 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
microsoft/Phi-3-mini-4k-instruct (few-shot) 3821 32 4096 True 5,224 ± 1,371 / 1,063 ± 358 3.43 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 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
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) 20918 64 2048 True 1,831 ± 587 / 268 ± 90 3.47 23.95 ± 1.93 / 21.43 ± 1.89 26.55 ± 1.50 / 25.06 ± 1.61 40.89 ± 3.60 / 59.86 ± 3.59 65.90 ± 0.33 / 19.68 ± 0.55 9.45 ± 1.58 / 44.62 ± 3.29 8.32 ± 1.89 / 42.30 ± 2.78 43.19 ± 1.82 / 67.93 ± 1.55 7.24 ± 0.98 / 29.40 ± 0.69 11.76 ± 1.46 / 32.09 ± 1.66 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
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 3.47 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 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
emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) 3821 32 4096 False 1,360 ± 179 / 566 ± 190 3.47 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 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
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 130819 True 7,312 ± 1,668 / 1,609 ± 525 3.47 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 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
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 3.48 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 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
NorwAI/NorwAI-Mistral-7B (few-shot) 7537 68 4096 True 3,035 ± 503 / 911 ± 300 3.50 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 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
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 3.53 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 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
norallm/normistral-7b-warm-instruct (few-shot) 7248 33 2048 True 6,194 ± 949 / 1,967 ± 619 3.53 46.49 ± 2.30 / 31.87 ± 1.92 51.46 ± 2.36 / 35.87 ± 2.14 37.98 ± 1.72 / 43.91 ± 2.51 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 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
ibm-granite/granite-3.0-2b-base (few-shot) 2534 49 4097 True 10,187 ± 2,363 / 2,204 ± 737 3.54 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) 7242 32 32768 True 2,461 ± 476 / 773 ± 248 3.54 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 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
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 3.58 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 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
NorwAI/NorwAI-Llama2-7B (few-shot) 7033 68 4096 True 4,438 ± 1,128 / 1,028 ± 346 3.59 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 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
allenai/OLMo-1.7-7B-hf (few-shot) 6888 50 4096 True 3,371 ± 876 / 561 ± 184 3.60 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 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
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 2,383 ± 451 / 718 ± 221 3.61 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 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
AI-Sweden-Models/gpt-sw3-40b (few-shot) 39927 64 1795 True 409 ± 53 / 182 ± 54 3.62 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 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
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 3.62 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 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
TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) 7800 100 4096 True 6,197 ± 1,118 / 1,730 ± 577 3.65 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 13.0.0 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 (few-shot) 7111 64 2048 True 2,351 ± 448 / 707 ± 216 3.66 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 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
google/gemma-2-2b (few-shot) 2614 256 8193 True 5,235 ± 1,226 / 1,154 ± 366 3.69 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 13.0.0 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 3.70 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 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
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) 3374 49 4096 True 10,246 ± 3,021 / 1,629 ± 550 3.74 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
norallm/normistral-7b-warm (few-shot) 7248 33 2048 True 3,175 ± 456 / 1,186 ± 354 3.77 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 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 3.80 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 13.0.0 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 3.81 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 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-sw3-1.3b-instruct (few-shot) 1445 64 2048 True 4,544 ± 1,000 / 1,106 ± 359 3.82 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 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
ibm-granite/granite-3b-code-instruct-2k (few-shot) 3483 49 2048 True 9,059 ± 1,947 / 2,201 ± 728 3.82 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3.0-3b-a800m-base (few-shot) 3374 49 4096 True 10,504 ± 3,028 / 1,678 ± 559 3.84 40.08 ± 2.60 / 33.17 ± 1.81 43.96 ± 1.65 / 32.96 ± 2.24 31.90 ± 1.50 / 53.03 ± 1.81 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 13.0.0 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-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.93 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 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
ibm-granite/granite-7b-instruct (few-shot) 6738 32 4096 True 3,136 ± 558 / 942 ± 290 3.93 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 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
meta-llama/Llama-3.2-1B-Instruct (few-shot) 1236 128 131073 False 7,436 ± 1,846 / 1,508 ± 479 3.93 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 13.0.0 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 3841 False 3,027 ± 503 / 903 ± 296 3.95 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 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
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.95 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 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
utter-project/EuroLLM-1.7B-Instruct (few-shot) 1657 128 4096 True 15,009 ± 4,072 / 2,702 ± 878 3.95 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 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HPLT/gpt-33b-nordic-prerelease (few-shot) 33119 131 4099 True 501 ± 50 / 238 ± 69 3.97 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 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
AI-Sweden-Models/gpt-sw3-6.7b (few-shot) 7111 64 2048 True 2,285 ± 443 / 671 ± 205 3.99 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 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
LumiOpen/Viking-13B (few-shot) 14030 131 4097 True 840 ± 79 / 400 ± 124 4.00 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 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
stabilityai/stablelm-2-1_6b (few-shot) 1645 100 4096 True 7,259 ± 2,120 / 1,240 ± 432 4.02 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 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
LumiOpen/Viking-7B (few-shot) 7550 131 4096 True 4,969 ± 1,109 / 1,134 ± 374 4.07 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 12.7.0 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/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 4.08 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 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
ibm-granite/granite-7b-base (few-shot) 6738 32 2048 True 4,405 ± 1,098 / 1,032 ± 345 4.09 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 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
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) 1445 64 2048 True 4,608 ± 988 / 1,115 ± 354 4.12 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 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
NbAiLab/nb-gpt-j-6B-alpaca (few-shot) 6055 50 1024 False 2,607 ± 592 / 680 ± 208 4.13 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 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
mhenrichsen/danskgpt-tiny-chat (few-shot) 1100 32 2048 False 1,745 ± 978 / 686 ± 159 4.13 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 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
AI-Sweden-Models/gpt-sw3-356m (few-shot) 471 64 2048 True 5,758 ± 1,348 / 1,215 ± 391 4.15 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 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
HPLT/gpt-13b-nordic-prerelease (few-shot) 14030 131 4099 True 3,520 ± 736 / 823 ± 273 4.17 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 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
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) 1711 49 8192 True 15,971 ± 3,654 / 3,609 ± 1,197 4.19 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 13.1.0 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 4.19 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 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
ibm-granite/granite-3b-code-base-2k (few-shot) 3483 49 2048 True 2,732 ± 868 / 662 ± 238 4.19 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-3.2-1B (few-shot) 1236 128 131073 True 7,577 ± 1,884 / 1,555 ± 492 4.19 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 4.25 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 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
state-spaces/mamba-2.8b-hf (few-shot) 2768 50 32769 True 2,722 ± 495 / 766 ± 250 4.27 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 4.29 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 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
ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) 1335 49 4096 True 7,964 ± 2,255 / 1,299 ± 433 4.33 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 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
ibm-granite/granite-3.0-1b-a400m-base (few-shot) 1385 49 4096 True 7,808 ± 2,183 / 1,289 ± 428 4.37 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 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
HPLT/gpt-7b-nordic-prerelease (few-shot) 7550 131 4096 True 5,404 ± 931 / 1,638 ± 542 4.40 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 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
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.40 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 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
mhenrichsen/danskgpt-tiny (few-shot) 1100 32 2048 True 8,597 ± 1,983 / 1,926 ± 600 4.40 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 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
AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) 186 64 2048 True 7,717 ± 1,553 / 2,013 ± 625 4.46 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 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
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 4.55 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 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
allenai/OLMo-7B (few-shot) 6888 50 2051 True 5,403 ± 1,133 / 1,294 ± 423 4.56 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 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
HuggingFaceTB/SmolLM2-135M (few-shot) 135 49 8192 True 26,346 ± 7,812 / 4,082 ± 1,372 4.62 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 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) 135 49 8192 True 25,602 ± 7,583 / 3,953 ± 1,325 4.71 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 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-360M (few-shot) 362 49 8192 True 22,023 ± 6,203 / 3,675 ± 1,231 4.71 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 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) 362 49 8192 True 21,777 ± 6,115 / 3,617 ± 1,211 4.72 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 13.1.0 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 4.73 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 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
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2051 True 5,484 ± 1,125 / 1,317 ± 425 4.74 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 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 (few-shot) 186 64 2048 True 8,958 ± 1,815 / 2,240 ± 696 4.77 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 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
NbAiLab/nb-gpt-j-6B-v2 (few-shot) 6051 50 1024 False 2,556 ± 580 / 681 ± 214 4.77 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 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
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 512 True 1,373 ± 120 / 709 ± 172 4.78 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 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
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.79 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 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
allenai/OLMo-1B (few-shot) 1177 50 2051 True 8,536 ± 1,926 / 1,940 ± 619 4.81 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 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
NbAiLab/nb-gpt-j-6B@sharded (few-shot) unknown 50 1024 True 2,630 ± 605 / 684 ± 217 4.98 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 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
NorGLM/NorGPT-369M (few-shot) unknown 64 1024 True 19,896 ± 5,099 / 3,848 ± 1,251 5.01 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 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 5.13 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 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
ssmits/Falcon2-5.5B-multilingual (few-shot) 5465 65 8192 True 7,692 ± 1,423 / 1,960 ± 644 5.13 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 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 5.19 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 12.7.0 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-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 5.25 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 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
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 5.33 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 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
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