Danish NLG 🇩🇰

Last updated: 30/05/2024 21:58:00 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank DANSK Angry Tweets ScaLA-da ScandiQA-da Nordjylland-News Danske Talemaader Danish Citizen Tests HellaSwag-da DANSK version Angry Tweets version ScaLA-da version ScandiQA-da version Nordjylland-News version Danske Talemaader version Danish Citizen Tests version HellaSwag-da version
gpt-4-0613 (few-shot, val) unknown 100 8192 True 597 ± 197 / 93 ± 33 1.09 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 0.0.0 0.0.0 0.0.0 12.9.0 12.6.1 10.0.1 10.0.1 9.1.2
gpt-4-1106-preview (few-shot, val) unknown 100 127999 True 576 ± 221 / 81 ± 28 1.19 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 94.06 ± 0.94 / 95.55 ± 0.71 97.21 ± 0.97 / 98.12 ± 0.65 78.67 ± 2.18 / 83.87 ± 1.63 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
gpt-4o-2024-05-13 (few-shot, val) unknown 200 127999 True 916 ± 329 / 114 ± 38 1.24 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 95.13 ± 0.92 / 96.29 ± 0.71 95.03 ± 1.46 / 96.64 ± 1.02 82.84 ± 2.44 / 86.99 ± 1.88 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
syvai/danskgpt-chat-llama3-70b (few-shot, val) 70554 128 8192 True 1,283 ± 279 / 291 ± 92 1.33 65.40 ± 1.90 / 54.29 ± 1.61 62.78 ± 3.01 / 75.05 ± 1.92 57.88 ± 3.35 / 78.50 ± 3.07 62.24 ± 2.43 / 68.23 ± 1.77 66.78 ± 0.52 / 20.59 ± 0.80 86.20 ± 2.09 / 88.64 ± 1.57 80.14 ± 3.75 / 85.73 ± 2.73 66.22 ± 2.53 / 74.34 ± 2.01 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/Meta-Llama-3-70B (few-shot, val) 70554 128 8192 True 312 ± 55 / 177 ± 51 1.44 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 12.7.0 12.6.1 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 1.55 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 12.9.0 12.9.0 12.9.0 12.9.0 12.6.1 10.0.1 10.0.1 12.9.0
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) 70554 128 8192 True 1,673 ± 583 / 275 ± 85 1.65 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 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 1.71 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32764 True 2,126 ± 676 / 319 ± 104 1.73 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
mhenrichsen/danskgpt-chat-v2.1 (few-shot) unknown 32 32768 True 5,085 ± 998 / 1,306 ± 404 1.95 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 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0
timpal0l/sol (few-shot) 10732 32 4096 False 3,701 ± 876 / 771 ± 247 1.97 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 1.99 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 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
upstage/SOLAR-10.7B-v1.0 (few-shot) 10732 32 4096 True 3,780 ± 906 / 799 ± 261 1.99 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 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
RJuro/munin-neuralbeagle-7b (few-shot, val) 7242 32 32768 False 2,493 ± 466 / 773 ± 243 2.06 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 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,890 ± 401 / 1,155 ± 348 2.20 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 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1
birgermoell/Rapid-Cycling (few-shot, val) 7242 32 32768 False 2,346 ± 450 / 666 ± 249 2.20 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 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2
merge-crew/da-sv-slerp (few-shot, val) 7242 32 32768 True 2,467 ± 469 / 762 ± 244 2.20 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 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 2.20 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.20 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 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) 7242 32 32768 False 3,008 ± 429 / 991 ± 323 2.22 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 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2
timpal0l/BeagleCatMunin2 (few-shot, val) 7242 32 32768 False 2,477 ± 459 / 767 ± 241 2.22 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 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4096 True 1,979 ± 621 / 320 ± 105 2.24 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 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/BeagleCatMunin (few-shot, val) 7242 32 32768 False 2,495 ± 458 / 775 ± 244 2.24 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 9.3.2 9.3.2 9.3.2 12.5.2 12.6.1 10.0.1 10.0.1 9.3.2
Mabeck/Heidrun-Mistral-7B-chat (few-shot) 7242 32 32768 False 5,822 ± 1,283 / 1,336 ± 430 2.28 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 10.0.1 10.0.1 10.0.1 12.5.0 12.6.1 10.0.1 11.0.0 10.0.1
four-two-labs/orpo-llama-3-swe (few-shot) 8030 128 8192 False 4,974 ± 1,208 / 1,032 ± 342 2.30 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 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 2.30 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.30 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
syvai/llama3-da-base (few-shot) 8030 128 8192 True 3,191 ± 1,053 / 446 ± 147 2.30 49.97 ± 3.05 / 34.87 ± 3.11 48.61 ± 1.35 / 60.53 ± 2.13 28.16 ± 3.02 / 59.87 ± 3.44 59.55 ± 1.23 / 65.50 ± 0.77 66.16 ± 0.83 / 20.83 ± 1.23 54.55 ± 2.11 / 65.21 ± 1.63 62.19 ± 2.34 / 74.20 ± 1.57 20.36 ± 2.18 / 38.27 ± 2.03 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.31 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 12.5.2 12.5.2 12.5.2 12.5.2 12.6.1 12.5.2 12.5.2 12.5.2
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) 8030 128 8192 False 5,018 ± 1,216 / 996 ± 324 2.31 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) 7242 32 8192 True 6,113 ± 1,044 / 1,790 ± 579 2.32 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 12.5.2 12.4.0 12.4.0 12.4.0 12.4.0 12.4.0 12.4.0 12.4.0
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) 7242 32 32768 False 3,006 ± 479 / 1,053 ± 319 2.33 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 11.0.0 11.0.0 11.0.0 12.4.0 12.6.1 10.0.1 10.0.1 11.0.0
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) 7242 32 32768 False 2,903 ± 407 / 1,157 ± 350 2.36 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 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1
birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) 7242 32 32768 False 2,856 ± 391 / 1,142 ± 342 2.36 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 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 2.36 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 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/njord-alpha (few-shot) 7242 32 32768 True 5,431 ± 1,267 / 1,139 ± 365 2.36 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
birgermoell/Flashback-Bellman (few-shot, val) 7242 32 32768 False 2,887 ± 403 / 1,144 ± 345 2.38 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 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1
bineric/NorskGPT-Llama3-8b (few-shot) 8030 128 8192 False 3,695 ± 1,277 / 532 ± 183 2.39 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
birgermoell/NeuralBeagle-Flashback (few-shot, val) 7242 32 32768 False 2,904 ± 405 / 1,155 ± 349 2.39 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 9.3.0 9.3.0 9.3.0 12.5.2 12.6.1 10.0.1 10.0.1 9.3.0
KennethEnevoldsen/munin_mistral-7b (few-shot, val) 7242 32 32768 False 2,543 ± 466 / 787 ± 247 2.40 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 12.5.2 12.3.1 12.3.1 12.3.2 12.6.1 12.3.2 12.3.2 12.3.2
danish-foundation-models/munin-7b-alpha (few-shot) 7242 32 32768 True 6,116 ± 1,049 / 1,784 ± 577 2.40 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 12.5.2 12.4.0 12.4.0 12.4.0 12.6.1 12.4.0 12.4.0 12.4.0
google/gemma-7b (few-shot) 8538 256 8192 True 1,378 ± 260 / 387 ± 119 2.41 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 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1
AI-Sweden-Models/tyr (few-shot, val) 7242 32 32768 False 6,079 ± 1,051 / 1,760 ± 570 2.42 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 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-0.9 (few-shot, val) 7242 32 32768 True 2,443 ± 458 / 750 ± 240 2.43 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1
emillykkejensen/Llama-3-8B-instruct-dansk (few-shot) 8030 128 4096 False 967 ± 125 / 402 ± 116 2.44 41.74 ± 3.18 / 30.54 ± 2.87 50.07 ± 1.52 / 60.95 ± 2.42 24.49 ± 1.98 / 57.72 ± 2.71 59.29 ± 0.86 / 65.18 ± 0.54 66.24 ± 0.55 / 20.03 ± 0.83 55.51 ± 1.94 / 65.80 ± 1.51 48.43 ± 2.35 / 64.28 ± 1.72 19.64 ± 2.14 / 37.09 ± 1.65 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1
merge-crew/da-sv-ties (few-shot, val) 7242 32 32768 True 2,457 ± 451 / 757 ± 237 2.45 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1
bineric/NorskGPT-Mistral-7b (few-shot) 7242 32 32768 False 2,443 ± 451 / 761 ± 237 2.47 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 9.3.1 9.3.1 9.3.1 12.5.1 12.6.1 10.0.1 10.0.1 9.3.1
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 2.50 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 12.5.2 12.5.1 12.5.1 12.5.1 12.6.1 12.5.1 12.5.1 12.5.1
Mabeck/Heidrun-Mistral-7B-base (few-shot) 7242 32 32768 True 3,823 ± 967 / 860 ± 280 2.51 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 11.0.0 11.0.0 11.0.0 11.0.0 12.6.1 11.0.0 11.0.0 11.0.0
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) 7242 32 32768 True 2,515 ± 465 / 785 ± 247 2.53 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.57 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 9.2.0 9.2.0 9.3.1 12.4.0 12.6.1 10.0.1 10.0.1 9.3.2
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 2.57 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 12.5.3 12.5.3 12.5.3 12.5.3 12.6.1 12.5.3 12.5.3 12.5.3
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 2.58 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 0.0.0 0.0.0 0.0.0 12.5.1 12.6.1 10.0.1 10.0.1 9.1.2
mhenrichsen/hestenettetLM (few-shot) 7242 32 32768 True 5,160 ± 804 / 1,654 ± 516 2.59 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 12.5.2 12.3.2 12.3.2 12.3.2 12.6.1 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 2.65 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 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 11.0.0 11.0.0 9.3.1
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) 7242 32 32768 False 2,518 ± 463 / 779 ± 243 2.66 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 9.2.0 9.2.0 9.2.0 12.4.0 12.6.1 10.0.1 10.0.1 9.2.0
timpal0l/Llama-3-8B-flashback-v1 (few-shot) 8030 128 8192 True 4,807 ± 1,152 / 979 ± 319 2.67 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 2.77 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 12.5.2 12.2.0 12.3.1 12.4.0 12.6.1 12.3.1 12.3.1 12.3.1
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 2.78 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 12.5.2 12.3.2 12.3.2 12.3.2 12.6.1 12.3.2 12.3.2 12.3.2
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.79 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 9.3.1 9.3.1 9.3.1 12.4.0 12.6.1 10.0.1 10.0.1 9.3.1
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 2.85 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 9.3.1 9.3.1 9.3.1 12.4.0 12.6.1 10.0.1 10.0.1 9.3.1
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 2.86 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 12.5.2 12.1.0 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.2.0
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 2.92 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 12.5.2 10.0.1 12.1.0 12.5.2 12.6.1 12.1.0 12.1.0 12.1.0
google/gemma-7b-it (few-shot) 8538 256 8192 False 1,792 ± 249 / 668 ± 203 2.92 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 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-sw3-40b (few-shot) 39927 64 2048 True 409 ± 53 / 182 ± 54 2.95 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 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.1 12.9.1 12.9.1
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) 7242 32 32768 True 2,461 ± 476 / 773 ± 248 2.95 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) 7242 32 32768 False 5,172 ± 813 / 1,647 ± 518 2.95 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 12.5.2 12.3.2 12.3.2 12.4.0 12.6.1 12.3.2 12.3.2 12.3.2
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 2.98 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 9.2.0 9.2.0 9.2.0 12.5.1 12.6.1 10.0.1 10.0.1 9.2.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 3.01 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 12.5.2 10.0.1 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.1.0
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 3.03 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 12.5.2 12.3.2 12.3.2 12.4.0 12.6.1 12.3.2 12.3.2 12.3.2
norallm/normistral-7b-warm-instruct (few-shot) unknown 33 2048 True 6,194 ± 949 / 1,967 ± 619 3.07 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 3.17 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 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0 12.10.0 12.10.0
LumiOpen/Viking-33B (few-shot) 33119 131 4099 True 2,080 ± 700 / 331 ± 117 3.18 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 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
LumiOpen/Viking-13B (few-shot) 14030 131 4099 True 3,530 ± 748 / 829 ± 277 3.22 32.12 ± 2.72 / 22.20 ± 2.85 47.92 ± 1.15 / 63.55 ± 1.65 2.79 ± 1.58 / 42.82 ± 3.40 53.86 ± 0.73 / 59.73 ± 0.64 63.96 ± 0.76 / 16.80 ± 1.44 -0.69 ± 0.71 / 23.96 ± 0.74 1.01 ± 3.40 / 35.43 ± 1.72 0.19 ± 1.16 / 25.26 ± 0.63 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
norallm/normistral-7b-warm (few-shot) 7248 33 2048 True 3,175 ± 456 / 1,186 ± 354 3.24 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 11.0.0 11.0.0 11.0.0 11.0.0 12.6.1 11.0.0 11.0.0 11.0.0
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 3.26 27.41 ± 3.48 / 19.03 ± 1.76 30.24 ± 3.46 / 41.07 ± 4.41 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 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 12.9.0 12.9.0 9.3.1
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.30 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 12.5.2 12.1.0 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.1.0
01-ai/Yi-6B (few-shot) 6061 64 4096 True 6,435 ± 1,316 / 1,632 ± 549 3.32 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 9.3.2 10.0.0 10.0.0 12.5.1 12.6.1 10.0.1 10.0.1 10.0.1
HPLT/gpt-33b-nordic-prerelease (few-shot) 33119 131 4099 True 501 ± 50 / 238 ± 69 3.38 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 12.9.1 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-v2 (few-shot) 7111 64 2048 True 2,351 ± 448 / 707 ± 216 3.41 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 9.2.0 9.2.0 9.2.0 12.5.1 12.6.1 10.0.1 10.0.1 9.2.0
HPLT/gpt-13b-nordic-prerelease (few-shot) 14030 131 4099 True 3,520 ± 736 / 823 ± 273 3.41 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 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
LumiOpen/Viking-7B (few-shot) 7550 131 4096 True 4,969 ± 1,109 / 1,134 ± 374 3.48 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 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-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.48 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 12.5.2 12.1.0 12.1.0 12.4.0 12.6.1 12.1.0 12.1.0 12.1.0
mhenrichsen/danskgpt-tiny-chat (few-shot) 1100 32 2048 False 1,745 ± 978 / 686 ± 159 3.49 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 9.1.2 9.1.2 9.1.2 12.4.0 12.6.1 10.0.1 10.0.1 9.1.2
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 2,383 ± 451 / 718 ± 221 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 9.2.0 9.2.0 9.2.0 12.4.0 12.6.1 10.0.1 10.0.1 9.2.0
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) 1445 64 2048 True 4,544 ± 1,000 / 1,106 ± 359 3.53 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 12.5.2 9.3.1 12.1.0 12.4.0 12.6.1 12.1.0 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-6.7b (few-shot) 7111 64 2048 True 2,285 ± 443 / 671 ± 205 3.53 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 11.0.0 11.0.0 11.0.0 11.0.0 12.6.1 11.0.0 11.0.0 11.0.0
norallm/normistral-7b-scratch (few-shot) 7248 33 2048 True 3,192 ± 454 / 1,198 ± 357 3.59 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 10.0.0 10.0.0 10.0.0 10.0.0 12.6.1 10.0.1 10.0.1 10.0.1
HPLT/gpt-7b-nordic-prerelease (few-shot) 7550 131 4096 True 5,404 ± 931 / 1,638 ± 542 3.63 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 12.5.2 12.3.2 12.3.2 12.3.2 12.6.1 12.3.2 12.3.2 12.3.2
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 3.68 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 12.5.2 9.3.2 12.1.0 12.4.0 12.6.1 12.1.0 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) 1445 64 2048 True 4,608 ± 988 / 1,115 ± 354 3.69 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 9.3.1 9.3.1 9.3.1 12.5.1 12.6.1 10.0.1 10.0.1 9.3.1
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 3.69 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 12.5.2 11.0.0 12.1.0 12.5.0 12.6.1 12.1.0 12.1.0 12.1.0
NbAiLab/nb-gpt-j-6B-alpaca (few-shot) 6055 50 1024 False 2,607 ± 592 / 680 ± 208 3.70 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 9.3.1 10.0.1 10.0.1 12.4.0 12.6.1 10.0.1 10.0.1 10.0.1
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 3.73 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 12.5.2 10.0.1 12.1.0 12.1.0 12.6.1 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 3.77 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 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-sw3-356m (few-shot) 471 64 2048 True 5,758 ± 1,348 / 1,215 ± 391 3.80 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 9.3.1 9.3.1 9.3.2 12.5.1 12.6.1 10.0.1 10.0.1 9.3.2
mhenrichsen/danskgpt-tiny (few-shot) 1100 32 2048 True 8,597 ± 1,983 / 1,926 ± 600 3.82 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 0.0.0 0.0.0 0.0.0 12.5.1 12.6.1 10.0.1 10.0.1 0.0.0
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 3.99 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 12.5.2 11.0.0 12.1.0 12.4.0 12.6.1 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 4.00 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 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 4.02 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 12.5.2 10.0.1 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) 186 64 2048 True 7,717 ± 1,553 / 2,013 ± 625 4.16 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 11.0.0 9.3.2 11.0.0 12.4.0 12.6.1 11.0.0 11.0.0 11.0.0
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.21 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 9.3.1 9.3.1 9.3.1 12.5.2 12.6.1 10.0.1 10.0.1 9.3.1
allenai/OLMo-1B (few-shot) 1177 50 2051 True 8,536 ± 1,926 / 1,940 ± 619 4.27 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 12.5.2 12.1.0 12.1.0 12.1.0 12.6.1 12.1.0 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-126m (few-shot) 186 64 2048 True 8,958 ± 1,815 / 2,240 ± 696 4.38 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 9.2.0 9.2.0 9.2.0 12.5.1 12.6.1 10.0.1 10.0.1 9.2.0
NbAiLab/nb-gpt-j-6B-v2 (few-shot) 6051 50 1024 False 2,556 ± 580 / 681 ± 214 4.38 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 9.3.1 10.0.1 11.0.0 12.5.1 12.6.1 11.0.0 11.0.0 11.0.0
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.42 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 9.3.1 9.3.1 9.3.1 12.5.1 12.6.1 10.0.1 10.0.1 9.3.1
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 512 True 1,373 ± 120 / 709 ± 172 4.48 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 11.0.0
NbAiLab/nb-gpt-j-6B@sharded (few-shot) unknown 50 1024 True 2,630 ± 605 / 684 ± 217 4.56 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 9.3.1 10.0.1 10.0.1 12.5.1 12.6.1 10.0.1 10.0.1 10.0.1
NorGLM/NorGPT-369M (few-shot) unknown 64 1024 True 19,896 ± 5,099 / 3,848 ± 1,251 4.64 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 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
peter-sk/gpt-neox-da (few-shot) 1515 50 1024 True 6,025 ± 1,442 / 1,342 ± 431 4.73 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 10.0.1 10.0.1 10.0.1 10.0.1 12.6.1 10.0.1 10.0.1 10.0.1
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 5.04 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 9.3.1 10.0.1 11.0.0 12.5.1 12.6.1 11.0.0 11.0.0 11.0.0
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 5.14 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 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
Download as CSV   •   Copy embed HTML