Dutch NLG 🇳🇱

Last updated: 04/11/2024 17:09:49 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank CoNLL-nl Dutch Social ScaLA-nl SQuAD-nl Wiki-Lingua-NL MMLU-nl HellaSwag-nl CoNLL-nl version Dutch Social version ScaLA-nl version SQuAD-nl version Wiki-Lingua-NL version MMLU-nl version HellaSwag-nl version
gpt-4-0613 (few-shot, val) unknown 100 8316 True 597 ± 197 / 93 ± 33 1.21 73.35 ± 2.61 / 56.00 ± 2.82 18.92 ± 2.78 / 40.80 ± 2.43 76.70 ± 2.39 / 88.16 ± 1.21 55.03 ± 1.96 / 76.47 ± 1.22 69.97 ± 0.41 / 22.66 ± 0.68 70.71 ± 2.96 / 78.12 ± 2.24 90.07 ± 1.29 / 92.54 ± 0.98 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 8317 True 312 ± 55 / 177 ± 51 1.46 72.91 ± 3.24 / 68.06 ± 4.62 19.08 ± 3.37 / 42.04 ± 2.31 54.33 ± 3.49 / 75.54 ± 2.31 63.99 ± 2.07 / 77.63 ± 1.16 70.41 ± 0.97 / 25.41 ± 1.66 65.33 ± 1.92 / 73.98 ± 1.56 71.06 ± 2.82 / 78.16 ± 2.22 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.50 66.44 ± 2.18 / 56.97 ± 2.87 14.22 ± 3.26 / 33.41 ± 3.24 72.30 ± 2.26 / 85.96 ± 1.13 57.81 ± 1.23 / 74.51 ± 0.62 67.13 ± 0.50 / 17.61 ± 0.76 70.04 ± 1.91 / 77.58 ± 1.42 88.29 ± 2.26 / 91.17 ± 1.70 12.3.2 12.10.2 12.10.2 12.3.2 12.3.2 12.10.2 12.10.2
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) 70554 128 8317 True 1,673 ± 583 / 275 ± 85 1.61 74.64 ± 3.67 / 71.84 ± 4.01 18.90 ± 2.04 / 41.93 ± 1.60 49.54 ± 4.22 / 74.03 ± 2.52 44.77 ± 1.67 / 71.44 ± 1.30 70.28 ± 0.65 / 22.72 ± 0.95 65.80 ± 3.16 / 74.38 ± 2.37 76.21 ± 1.36 / 82.15 ± 1.01 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
gpt-4o-2024-05-13 (few-shot, val) unknown 200 128000 True 916 ± 329 / 114 ± 38 1.65 76.75 ± 3.44 / 61.13 ± 4.40 10.80 ± 2.24 / 32.52 ± 2.18 56.26 ± 4.51 / 73.83 ± 3.26 55.55 ± 2.54 / 76.28 ± 1.13 66.86 ± 0.46 / 16.93 ± 0.91 73.11 ± 1.87 / 79.69 ± 1.46 92.69 ± 1.46 / 94.53 ± 1.09 12.10.0 12.10.2 12.10.2 12.10.0 12.10.0 12.10.2 12.10.2
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32889 True 2,126 ± 676 / 319 ± 104 1.75 67.00 ± 3.69 / 56.41 ± 4.29 15.33 ± 4.14 / 36.14 ± 2.91 55.48 ± 4.37 / 77.55 ± 2.24 61.02 ± 1.67 / 76.87 ± 1.15 68.95 ± 0.75 / 21.31 ± 1.20 54.36 ± 1.61 / 65.70 ± 1.26 70.26 ± 3.64 / 77.62 ± 2.82 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 8320 True 1,516 ± 257 / 480 ± 148 1.84 65.20 ± 1.76 / 53.16 ± 2.84 14.80 ± 0.93 / 36.86 ± 1.08 59.02 ± 1.53 / 79.44 ± 0.78 59.60 ± 1.51 / 74.99 ± 0.59 64.03 ± 1.25 / 20.76 ± 1.31 59.71 ± 0.83 / 69.70 ± 0.64 70.70 ± 1.31 / 77.81 ± 0.99 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
google/gemma-2-9b-it (few-shot) 9242 256 8320 True 2,062 ± 397 / 589 ± 178 2.06 52.62 ± 2.15 / 39.41 ± 1.72 11.78 ± 1.31 / 32.80 ± 0.87 59.23 ± 1.58 / 79.42 ± 0.88 55.78 ± 0.87 / 72.71 ± 0.70 67.39 ± 0.71 / 20.04 ± 1.05 53.99 ± 0.77 / 65.31 ± 0.62 65.58 ± 1.18 / 73.75 ± 0.94 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 2.08 65.37 ± 1.61 / 46.10 ± 1.53 11.93 ± 1.80 / 34.67 ± 2.84 41.67 ± 1.53 / 69.81 ± 1.38 67.75 ± 0.62 / 78.01 ± 0.45 68.83 ± 0.35 / 26.12 ± 0.52 40.18 ± 0.57 / 55.06 ± 0.44 65.34 ± 1.05 / 73.48 ± 0.83 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
google/gemma-2-9b (few-shot) 9242 256 8320 True 2,038 ± 406 / 566 ± 172 2.09 57.13 ± 2.73 / 36.21 ± 1.71 17.43 ± 2.17 / 40.83 ± 1.50 31.39 ± 5.53 / 56.70 ± 5.97 59.33 ± 1.35 / 73.56 ± 0.52 66.59 ± 1.21 / 21.08 ± 1.63 53.71 ± 0.86 / 65.15 ± 0.63 53.26 ± 3.38 / 63.65 ± 2.84 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mistralai/Ministral-8B-Instruct-2410 (few-shot) 8020 131 32768 True 5,821 ± 1,090 / 1,561 ± 506 2.13 66.51 ± 1.38 / 52.40 ± 2.62 13.55 ± 2.14 / 37.36 ± 1.32 34.46 ± 2.79 / 65.61 ± 2.58 59.23 ± 1.16 / 72.56 ± 0.80 68.87 ± 0.72 / 21.06 ± 1.13 40.81 ± 1.05 / 55.44 ± 0.80 60.68 ± 1.04 / 70.24 ± 0.85 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 2.14 64.47 ± 2.31 / 40.89 ± 2.81 13.83 ± 1.91 / 41.53 ± 1.23 45.69 ± 1.76 / 72.13 ± 1.39 58.03 ± 1.37 / 73.17 ± 0.58 69.34 ± 0.77 / 22.22 ± 0.98 37.60 ± 0.83 / 53.13 ± 0.62 54.33 ± 0.84 / 65.41 ± 0.59 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
gpt-3.5-turbo-0613 (few-shot, val) unknown 100 4095 True 921 ± 293 / 113 ± 37 2.14 68.96 ± 3.80 / 58.45 ± 3.71 8.81 ± 3.30 / 30.88 ± 2.25 58.95 ± 4.48 / 78.64 ± 2.32 55.57 ± 2.33 / 68.26 ± 1.85 69.13 ± 0.41 / 21.32 ± 0.75 42.28 ± 2.88 / 56.45 ± 2.26 61.52 ± 2.69 / 70.62 ± 2.20 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
meta-llama/Llama-2-70b-hf (few-shot, val) 68977 32 4221 True 1,892 ± 650 / 318 ± 105 2.20 66.50 ± 3.72 / 57.66 ± 3.78 7.82 ± 4.30 / 34.91 ± 2.53 49.55 ± 4.95 / 73.43 ± 3.38 65.26 ± 1.55 / 77.36 ± 1.41 67.28 ± 1.07 / 21.33 ± 1.39 49.41 ± 2.21 / 61.91 ± 1.74 54.50 ± 4.84 / 65.70 ± 3.64 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
CohereForAI/aya-expanse-8b (few-shot) 8028 256 8192 False 5,581 ± 1,066 / 1,471 ± 483 2.24 62.07 ± 1.67 / 37.68 ± 1.28 11.09 ± 1.67 / 31.37 ± 1.35 35.14 ± 2.33 / 66.66 ± 1.50 49.15 ± 1.48 / 68.82 ± 0.68 74.40 ± 0.20 / 31.66 ± 0.46 46.76 ± 0.71 / 60.01 ± 0.54 60.36 ± 0.88 / 70.23 ± 0.64 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3.0-8b-base (few-shot) 8171 49 4224 True 5,116 ± 943 / 1,436 ± 472 2.27 53.21 ± 1.37 / 42.13 ± 2.58 13.72 ± 2.18 / 39.38 ± 2.08 40.85 ± 4.16 / 67.34 ± 3.66 62.41 ± 0.99 / 74.19 ± 0.56 66.70 ± 0.37 / 19.34 ± 0.85 39.74 ± 0.95 / 54.61 ± 0.75 54.37 ± 0.74 / 65.48 ± 0.65 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mistralai/Mistral-Nemo-Instruct-2407 (few-shot) 12248 131 1024128 True 7,095 ± 2,193 / 1,063 ± 344 2.30 66.57 ± 1.86 / 48.40 ± 2.67 10.10 ± 1.55 / 33.62 ± 2.04 40.31 ± 2.25 / 69.53 ± 1.51 59.99 ± 0.95 / 74.24 ± 0.63 68.66 ± 0.68 / 20.75 ± 1.15 42.50 ± 0.84 / 56.53 ± 0.62 48.51 ± 1.44 / 60.59 ± 1.34 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4221 True 1,979 ± 621 / 320 ± 105 2.35 64.00 ± 3.52 / 48.94 ± 3.83 13.30 ± 3.75 / 30.50 ± 2.48 30.88 ± 4.62 / 59.62 ± 4.50 54.14 ± 1.55 / 70.96 ± 1.01 68.71 ± 0.70 / 19.82 ± 0.90 45.47 ± 2.07 / 59.14 ± 1.69 42.91 ± 3.26 / 57.30 ± 2.39 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
meta-llama/Llama-3.1-8B-Instruct (few-shot) 8030 128 131200 True 2,411 ± 465 / 686 ± 215 2.38 69.76 ± 1.36 / 57.66 ± 1.36 15.51 ± 1.59 / 39.71 ± 1.21 37.58 ± 3.42 / 66.98 ± 2.22 41.26 ± 2.09 / 65.63 ± 0.90 68.84 ± 0.62 / 21.41 ± 1.20 40.98 ± 0.71 / 55.51 ± 0.59 39.98 ± 1.59 / 54.32 ± 1.27 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
gpt-4o-mini-2024-07-18 (few-shot) unknown 200 128126 True 1,171 ± 378 / 120 ± 39 2.41 68.20 ± 1.93 / 49.92 ± 2.53 5.65 ± 1.80 / 14.84 ± 2.18 31.15 ± 7.70 / 52.16 ± 7.03 53.17 ± 1.82 / 72.08 ± 0.90 67.62 ± 0.45 / 18.21 ± 0.81 54.56 ± 1.84 / 64.78 ± 1.89 65.27 ± 1.51 / 72.80 ± 1.37 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0 12.11.0
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 2.41 64.25 ± 2.23 / 46.52 ± 1.72 13.66 ± 1.99 / 39.45 ± 1.52 28.59 ± 1.48 / 61.24 ± 1.46 49.64 ± 0.86 / 68.04 ± 0.55 68.66 ± 0.57 / 19.51 ± 0.67 35.37 ± 1.30 / 51.43 ± 0.96 47.50 ± 1.75 / 60.41 ± 1.32 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
meta-llama/Llama-3.1-8B (few-shot) 8030 128 131200 True 2,439 ± 459 / 703 ± 219 2.44 64.79 ± 1.96 / 45.48 ± 2.24 11.95 ± 2.83 / 37.12 ± 2.19 32.97 ± 2.68 / 58.52 ± 2.92 63.89 ± 1.06 / 74.73 ± 1.02 66.29 ± 1.29 / 20.14 ± 1.64 38.44 ± 1.33 / 53.68 ± 1.01 30.88 ± 2.27 / 47.18 ± 1.81 12.11.0 12.11.0 12.11.0 13.0.0 13.0.0 13.0.0 13.0.0
CohereForAI/aya-23-8B (few-shot) 8028 256 8192 False 5,608 ± 1,062 / 1,472 ± 479 2.45 60.81 ± 1.94 / 46.59 ± 3.32 7.90 ± 1.63 / 24.82 ± 0.95 31.12 ± 2.35 / 64.29 ± 1.88 63.00 ± 1.23 / 74.60 ± 0.67 72.90 ± 0.24 / 30.63 ± 0.42 32.37 ± 1.09 / 48.63 ± 0.82 53.32 ± 1.89 / 64.30 ± 1.72 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.46 63.53 ± 3.80 / 50.43 ± 2.90 11.25 ± 4.22 / 39.00 ± 3.14 27.76 ± 4.44 / 62.44 ± 2.43 50.94 ± 1.12 / 70.12 ± 0.96 71.20 ± 0.46 / 23.47 ± 0.80 40.23 ± 2.86 / 54.77 ± 2.16 47.87 ± 2.49 / 60.78 ± 1.85 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 2.51 68.72 ± 1.81 / 54.89 ± 2.10 14.67 ± 2.51 / 41.36 ± 2.04 32.91 ± 2.56 / 64.93 ± 1.97 45.36 ± 1.31 / 67.50 ± 0.69 67.62 ± 0.82 / 18.19 ± 1.14 36.18 ± 1.31 / 51.68 ± 1.05 33.91 ± 1.71 / 48.01 ± 1.47 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
skole-gpt (few-shot) unknown 32 32768 False 3,583 ± 977 / 686 ± 231 2.54 62.16 ± 1.09 / 45.76 ± 2.07 8.92 ± 1.08 / 24.28 ± 0.76 32.76 ± 2.94 / 65.17 ± 2.79 56.87 ± 0.92 / 72.57 ± 0.85 68.39 ± 0.73 / 20.83 ± 1.21 46.17 ± 0.64 / 59.57 ± 0.48 33.31 ± 1.83 / 49.12 ± 1.64 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.58 64.71 ± 5.15 / 53.58 ± 3.82 11.14 ± 3.37 / 38.64 ± 2.36 25.22 ± 5.45 / 61.28 ± 2.51 46.34 ± 1.07 / 66.56 ± 1.49 67.71 ± 0.59 / 17.76 ± 0.71 38.49 ± 2.59 / 53.52 ± 2.03 47.66 ± 2.91 / 60.31 ± 2.30 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
yhavinga/Boreas-7B-chat (few-shot) 7242 32 32768 False 2,913 ± 459 / 1,129 ± 342 2.60 60.22 ± 1.55 / 38.72 ± 1.45 11.97 ± 1.80 / 35.17 ± 3.03 30.94 ± 4.81 / 62.66 ± 3.36 52.19 ± 1.96 / 67.52 ± 1.56 66.60 ± 1.93 / 20.00 ± 1.35 35.34 ± 1.32 / 51.45 ± 0.99 31.47 ± 2.90 / 47.64 ± 2.52 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 4,687 ± 1,121 / 967 ± 313 2.62 62.26 ± 2.20 / 42.41 ± 2.02 10.45 ± 2.69 / 33.45 ± 1.99 30.30 ± 3.94 / 62.28 ± 2.89 62.99 ± 1.00 / 73.73 ± 0.98 65.17 ± 1.24 / 18.63 ± 1.85 36.38 ± 0.86 / 52.08 ± 0.66 28.33 ± 2.31 / 45.29 ± 1.78 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
robinsmits/Qwen1.5-7B-Dutch-Chat-Sft-Bf16 (few-shot) 7719 152 32768 False 2,413 ± 463 / 700 ± 220 2.66 56.83 ± 2.31 / 46.81 ± 2.87 14.79 ± 1.96 / 41.48 ± 1.53 23.58 ± 2.69 / 50.85 ± 3.74 55.90 ± 1.80 / 70.07 ± 0.77 65.06 ± 1.20 / 18.45 ± 1.09 33.73 ± 0.75 / 50.05 ± 0.57 29.29 ± 1.83 / 45.90 ± 1.77 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
robinsmits/Qwen1.5-7B-Dutch-Chat (few-shot) 7719 152 32768 False 4,686 ± 1,131 / 996 ± 326 2.70 57.81 ± 2.68 / 47.15 ± 2.77 14.62 ± 2.25 / 41.08 ± 1.81 25.34 ± 2.37 / 54.46 ± 3.43 56.81 ± 1.44 / 70.49 ± 0.68 60.51 ± 2.40 / 15.62 ± 1.65 34.78 ± 0.80 / 50.83 ± 0.58 30.29 ± 1.78 / 46.74 ± 1.68 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
ReBatch/Reynaerde-7B-Instruct (few-shot) 7248 33 32768 False 2,562 ± 487 / 782 ± 247 2.71 59.16 ± 2.29 / 42.33 ± 2.15 10.39 ± 1.44 / 28.74 ± 1.05 19.50 ± 1.96 / 55.52 ± 3.92 60.96 ± 1.24 / 72.79 ± 0.95 68.19 ± 0.63 / 20.85 ± 0.78 32.93 ± 0.63 / 49.37 ± 0.55 28.04 ± 1.54 / 45.48 ± 1.35 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ReBatch/Reynaerde-7B-Chat (few-shot) 7248 33 32768 False 2,554 ± 483 / 781 ± 247 2.74 56.22 ± 2.46 / 38.04 ± 1.69 11.22 ± 1.85 / 30.99 ± 1.36 20.04 ± 1.67 / 55.38 ± 3.62 61.15 ± 1.01 / 72.89 ± 0.88 68.28 ± 0.61 / 20.97 ± 0.82 32.44 ± 0.61 / 49.05 ± 0.48 31.24 ± 1.92 / 47.72 ± 1.69 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3.0-8b-instruct (few-shot) 8171 49 4096 True 5,090 ± 937 / 1,423 ± 466 2.75 53.62 ± 2.29 / 40.51 ± 1.41 13.37 ± 1.25 / 36.94 ± 1.81 23.47 ± 1.79 / 60.17 ± 1.23 61.20 ± 1.02 / 72.98 ± 0.62 62.34 ± 3.24 / 18.49 ± 1.19 34.69 ± 0.59 / 50.59 ± 0.56 31.36 ± 1.90 / 46.78 ± 1.51 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
google/gemma-7b (few-shot) 8538 256 8192 True 1,378 ± 260 / 387 ± 119 2.79 47.75 ± 2.33 / 35.64 ± 1.89 7.68 ± 0.61 / 26.25 ± 1.18 28.28 ± 2.48 / 62.81 ± 1.70 61.49 ± 1.15 / 73.19 ± 0.81 65.60 ± 1.18 / 19.95 ± 1.23 42.19 ± 0.97 / 55.52 ± 0.93 31.45 ± 2.79 / 44.15 ± 3.09 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0
ReBatch/Llama-3-8B-dutch (few-shot) 8030 128 8317 False 3,800 ± 1,275 / 566 ± 194 2.80 60.14 ± 2.00 / 44.91 ± 2.19 11.07 ± 1.98 / 34.77 ± 1.31 15.67 ± 3.75 / 40.14 ± 2.65 59.93 ± 1.17 / 71.20 ± 1.30 64.49 ± 1.40 / 18.40 ± 1.70 36.13 ± 1.24 / 51.76 ± 0.92 28.25 ± 2.23 / 44.23 ± 2.03 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
Rijgersberg/Mistral-7B-v0.1-chat-nl (few-shot) 7242 32 32768 False 5,907 ± 1,028 / 1,695 ± 549 2.85 56.73 ± 1.95 / 38.97 ± 1.84 11.08 ± 1.46 / 32.20 ± 1.43 19.41 ± 2.55 / 57.17 ± 2.38 58.91 ± 0.92 / 71.22 ± 0.72 68.05 ± 0.39 / 21.26 ± 0.65 31.39 ± 0.86 / 48.09 ± 0.72 16.49 ± 2.14 / 36.67 ± 1.72 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 2.85 58.15 ± 1.14 / 40.78 ± 1.91 7.94 ± 1.25 / 31.02 ± 3.45 25.41 ± 3.46 / 61.11 ± 2.36 62.56 ± 1.10 / 73.16 ± 0.93 64.24 ± 0.91 / 17.54 ± 1.10 35.49 ± 0.57 / 51.51 ± 0.42 19.88 ± 1.80 / 39.13 ± 1.56 9.1.2 9.1.2 9.1.2 12.5.1 11.0.0 9.2.0 9.2.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.86 55.56 ± 2.66 / 39.56 ± 2.13 12.37 ± 1.64 / 37.37 ± 1.35 21.50 ± 1.70 / 59.10 ± 1.32 50.77 ± 0.95 / 66.54 ± 0.79 67.99 ± 0.49 / 19.54 ± 0.55 22.86 ± 1.89 / 41.71 ± 1.45 24.80 ± 1.77 / 42.93 ± 1.38 9.3.1 9.2.0 9.3.1 12.4.0 12.4.0 9.3.2 9.3.2
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 2.88 56.76 ± 1.52 / 42.03 ± 1.98 7.11 ± 1.17 / 26.36 ± 2.97 23.55 ± 2.76 / 59.14 ± 3.18 61.89 ± 1.10 / 72.41 ± 1.08 64.33 ± 0.72 / 17.66 ± 0.87 34.92 ± 1.07 / 51.02 ± 0.85 23.87 ± 1.80 / 42.03 ± 1.58 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
ibm-granite/granite-3.0-2b-base (few-shot) 2534 49 4224 True 10,187 ± 2,363 / 2,204 ± 737 2.89 47.28 ± 1.57 / 36.12 ± 1.72 12.12 ± 1.92 / 35.44 ± 1.80 12.74 ± 2.68 / 52.69 ± 2.88 60.36 ± 1.36 / 71.20 ± 0.77 64.26 ± 0.75 / 16.55 ± 0.76 26.88 ± 0.86 / 44.76 ± 0.70 34.05 ± 1.57 / 50.08 ± 1.18 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mistralai/Mistral-7B-v0.3 (few-shot) 7248 33 32768 True 4,120 ± 976 / 926 ± 306 2.89 56.52 ± 1.42 / 41.84 ± 1.84 7.02 ± 1.21 / 26.40 ± 2.96 23.41 ± 2.91 / 59.14 ± 3.11 61.90 ± 1.07 / 72.49 ± 1.05 64.37 ± 0.74 / 17.69 ± 0.90 34.93 ± 1.11 / 51.02 ± 0.87 23.73 ± 1.97 / 41.93 ± 1.68 12.10.4 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4
ibm-granite/granite-3.0-2b-instruct (few-shot) 2634 49 4224 True 10,194 ± 2,403 / 2,193 ± 731 2.91 52.52 ± 1.62 / 44.69 ± 2.23 13.85 ± 1.90 / 36.43 ± 2.11 17.72 ± 1.86 / 57.31 ± 1.52 53.50 ± 1.16 / 67.02 ± 0.75 66.23 ± 0.48 / 18.18 ± 0.68 24.62 ± 0.65 / 43.32 ± 0.48 15.79 ± 1.37 / 35.56 ± 1.11 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
BramVanroy/GEITje-7B-ultra (few-shot) 7242 32 8192 False 2,475 ± 460 / 765 ± 238 2.94 42.20 ± 2.20 / 27.85 ± 1.11 12.78 ± 2.52 / 42.17 ± 1.91 18.23 ± 1.91 / 50.04 ± 2.54 53.41 ± 1.11 / 66.45 ± 0.46 68.30 ± 0.40 / 20.79 ± 0.63 26.92 ± 1.09 / 44.44 ± 0.85 25.72 ± 1.01 / 43.74 ± 0.69 10.0.1 10.0.1 10.0.1 12.4.0 12.4.0 10.0.1 10.0.1
meta-llama/Llama-3.2-3B-Instruct (few-shot) 3213 128 131200 False 10,424 ± 2,641 / 2,081 ± 666 2.98 43.66 ± 2.01 / 40.23 ± 1.75 12.87 ± 1.32 / 37.23 ± 1.55 17.94 ± 3.48 / 55.88 ± 3.97 47.77 ± 1.82 / 64.44 ± 1.35 66.74 ± 1.00 / 18.33 ± 1.28 33.80 ± 0.84 / 50.30 ± 0.61 21.02 ± 1.29 / 40.27 ± 1.09 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
microsoft/Phi-3-mini-4k-instruct (few-shot) 3821 32 4096 True 5,224 ± 1,371 / 1,063 ± 358 2.98 50.31 ± 1.94 / 41.54 ± 2.19 12.58 ± 1.62 / 36.56 ± 1.79 14.72 ± 1.84 / 50.23 ± 3.10 56.19 ± 0.80 / 66.72 ± 0.92 64.40 ± 0.77 / 17.47 ± 0.56 28.31 ± 0.70 / 46.18 ± 0.50 21.25 ± 1.25 / 40.78 ± 1.02 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 3.01 53.78 ± 1.86 / 41.29 ± 2.07 7.78 ± 1.43 / 24.33 ± 1.57 16.23 ± 2.49 / 55.09 ± 3.18 63.09 ± 1.18 / 73.88 ± 0.72 66.46 ± 0.67 / 19.49 ± 0.92 28.37 ± 0.99 / 45.81 ± 0.88 15.25 ± 1.71 / 35.83 ± 1.42 12.5.2 12.2.0 12.3.1 12.4.0 12.4.0 12.3.1 12.3.1
Rijgersberg/GEITje-7B-chat-v2 (few-shot) 7242 32 32768 False 5,908 ± 1,022 / 1,694 ± 551 3.02 42.12 ± 4.00 / 31.12 ± 1.86 11.06 ± 2.30 / 40.32 ± 1.64 19.71 ± 3.65 / 49.65 ± 4.28 59.19 ± 0.91 / 70.06 ± 0.82 65.55 ± 0.49 / 19.18 ± 0.67 27.71 ± 0.91 / 45.01 ± 0.71 18.03 ± 1.77 / 36.82 ± 1.76 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
google/gemma-2-2b-it (few-shot) 2614 256 8320 True 5,374 ± 1,233 / 1,193 ± 377 3.02 40.58 ± 2.08 / 28.95 ± 1.56 11.17 ± 1.32 / 32.96 ± 1.96 19.63 ± 2.61 / 52.65 ± 2.73 49.30 ± 1.25 / 67.27 ± 0.73 66.83 ± 0.86 / 19.21 ± 0.95 29.30 ± 1.02 / 46.88 ± 0.79 31.43 ± 1.42 / 47.87 ± 1.30 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-8b-code-base-4k (few-shot) 8055 49 4096 True 2,313 ± 423 / 682 ± 210 3.05 63.29 ± 2.51 / 52.18 ± 4.31 13.81 ± 1.66 / 36.99 ± 2.58 8.16 ± 1.97 / 44.29 ± 4.25 56.64 ± 0.68 / 66.29 ± 0.71 63.08 ± 0.90 / 15.69 ± 0.65 16.86 ± 1.16 / 37.54 ± 0.93 6.24 ± 0.78 / 29.25 ± 0.61 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-2-13b-chat-hf (few-shot) 13016 32 4096 True 2,849 ± 622 / 723 ± 229 3.05 57.80 ± 1.53 / 39.43 ± 1.53 8.57 ± 1.27 / 29.84 ± 2.35 17.40 ± 1.54 / 57.26 ± 1.96 56.35 ± 0.85 / 69.69 ± 0.76 66.11 ± 0.58 / 18.31 ± 0.61 27.15 ± 1.09 / 44.95 ± 0.78 19.18 ± 1.46 / 38.84 ± 1.26 12.11.0 12.10.4 12.10.4 12.11.0 12.11.0 12.10.4 12.10.4
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4096 False 3,254 ± 1,068 / 484 ± 173 3.06 57.66 ± 1.29 / 43.77 ± 2.78 8.41 ± 1.47 / 25.59 ± 1.30 16.93 ± 2.60 / 55.72 ± 3.35 56.29 ± 1.11 / 68.94 ± 0.81 66.22 ± 0.50 / 19.03 ± 0.51 25.70 ± 1.05 / 44.15 ± 0.82 17.92 ± 1.69 / 37.64 ± 1.43 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 3.06 44.27 ± 2.14 / 34.47 ± 2.48 12.84 ± 1.82 / 36.64 ± 1.13 10.44 ± 1.58 / 48.93 ± 3.41 56.40 ± 1.14 / 68.02 ± 0.79 62.60 ± 0.62 / 15.63 ± 0.45 28.63 ± 0.84 / 46.39 ± 0.61 22.58 ± 0.97 / 41.78 ± 0.71 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0 12.10.0 12.10.0
Rijgersberg/GEITje-7B (few-shot) 7242 32 32768 True 5,887 ± 1,087 / 1,600 ± 522 3.07 47.53 ± 1.90 / 32.42 ± 1.99 4.36 ± 2.96 / 28.11 ± 4.71 30.67 ± 4.45 / 63.78 ± 2.80 56.55 ± 0.70 / 67.56 ± 0.60 67.58 ± 0.85 / 22.14 ± 1.21 28.12 ± 0.98 / 44.50 ± 0.93 11.70 ± 2.42 / 32.05 ± 1.90 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
meta-llama/Llama-2-13b-hf (few-shot) 13016 32 4096 True 2,898 ± 637 / 736 ± 236 3.07 52.55 ± 1.64 / 43.32 ± 1.70 4.26 ± 2.09 / 28.32 ± 2.68 24.57 ± 3.54 / 54.94 ± 5.33 60.99 ± 0.95 / 72.74 ± 0.78 64.02 ± 0.84 / 16.97 ± 0.98 28.73 ± 0.90 / 45.62 ± 0.64 19.43 ± 1.53 / 38.57 ± 1.39 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4
BramVanroy/fietje-2b-instruct (few-shot) 2775 50 2048 False 4,710 ± 1,040 / 1,188 ± 383 3.08 36.50 ± 2.72 / 28.73 ± 1.41 13.70 ± 2.29 / 40.77 ± 1.77 4.81 ± 2.20 / 43.19 ± 1.45 60.63 ± 0.62 / 71.62 ± 0.59 66.01 ± 0.42 / 17.97 ± 0.65 26.76 ± 1.00 / 44.94 ± 0.74 12.93 ± 1.54 / 34.12 ± 1.22 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
google/gemma-7b-it (few-shot) 8538 256 8317 False 1,792 ± 249 / 668 ± 203 3.09 53.93 ± 2.71 / 47.48 ± 2.09 12.83 ± 2.37 / 34.00 ± 2.26 6.58 ± 3.36 / 48.51 ± 3.35 53.45 ± 2.52 / 67.47 ± 0.88 65.89 ± 0.38 / 17.99 ± 0.46 19.58 ± 1.24 / 38.76 ± 1.06 13.68 ± 1.08 / 32.30 ± 0.99 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
BramVanroy/fietje-2b-chat (few-shot) 2775 50 2048 False 4,704 ± 1,015 / 1,185 ± 375 3.11 39.57 ± 2.74 / 31.81 ± 1.55 13.25 ± 2.12 / 39.92 ± 1.66 9.31 ± 1.92 / 50.99 ± 2.59 60.26 ± 0.62 / 71.03 ± 0.65 65.37 ± 0.53 / 17.63 ± 0.74 26.63 ± 1.33 / 44.86 ± 1.00 11.62 ± 1.28 / 32.71 ± 1.00 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 3.13 50.23 ± 2.34 / 37.12 ± 3.30 10.07 ± 1.84 / 35.66 ± 2.24 14.73 ± 1.62 / 54.59 ± 2.24 53.42 ± 0.80 / 66.24 ± 0.84 67.59 ± 0.56 / 18.45 ± 0.65 20.19 ± 1.26 / 39.24 ± 1.03 11.42 ± 1.29 / 32.50 ± 1.10 9.3.1 9.3.1 9.3.1 12.4.0 12.4.0 9.3.1 9.3.1
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 3.13 51.31 ± 2.32 / 42.95 ± 2.58 7.41 ± 1.24 / 26.93 ± 1.56 13.04 ± 1.93 / 53.54 ± 2.70 59.28 ± 1.15 / 69.67 ± 0.95 64.66 ± 0.74 / 18.22 ± 0.85 27.12 ± 0.86 / 44.36 ± 0.75 13.99 ± 2.04 / 34.45 ± 1.89 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.2.0 12.2.0
Rijgersberg/GEITje-7B-chat (few-shot) 7242 32 32768 False 5,920 ± 1,028 / 1,696 ± 550 3.14 50.69 ± 1.67 / 35.96 ± 2.63 8.16 ± 1.68 / 27.37 ± 1.95 20.45 ± 2.12 / 59.00 ± 1.21 54.48 ± 0.86 / 66.71 ± 0.59 66.92 ± 0.50 / 20.19 ± 0.69 24.89 ± 1.55 / 42.34 ± 1.14 9.84 ± 1.87 / 30.90 ± 1.58 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) 3374 49 4096 True 10,246 ± 3,021 / 1,629 ± 550 3.14 49.25 ± 2.57 / 36.48 ± 2.14 9.45 ± 1.76 / 39.66 ± 1.14 11.87 ± 2.68 / 47.32 ± 3.85 54.20 ± 1.44 / 67.04 ± 0.75 64.77 ± 0.96 / 16.74 ± 0.86 21.52 ± 1.18 / 40.76 ± 0.95 22.32 ± 2.02 / 39.89 ± 1.82 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-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 3.14 52.72 ± 2.58 / 33.51 ± 1.22 7.91 ± 2.16 / 27.82 ± 1.97 18.14 ± 2.10 / 55.42 ± 3.05 52.75 ± 0.88 / 67.15 ± 1.08 64.77 ± 0.97 / 16.55 ± 0.81 26.06 ± 0.77 / 44.08 ± 0.51 14.26 ± 1.48 / 35.14 ± 1.18 9.3.1 9.3.1 9.3.1 12.4.0 12.4.0 9.3.1 9.3.1
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 3.15 42.52 ± 2.25 / 37.46 ± 3.08 14.68 ± 1.40 / 40.53 ± 1.64 4.07 ± 2.16 / 35.24 ± 1.77 55.18 ± 0.74 / 66.50 ± 0.80 62.75 ± 0.84 / 14.83 ± 0.70 24.25 ± 1.22 / 43.08 ± 0.87 16.21 ± 1.51 / 37.11 ± 1.16 12.5.2 10.0.1 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0
ibm-granite/granite-8b-code-instruct-4k (few-shot) 8055 49 4096 True 5,617 ± 995 / 1,623 ± 540 3.18 60.72 ± 2.14 / 45.52 ± 2.46 12.38 ± 1.62 / 29.91 ± 1.91 10.96 ± 1.47 / 47.97 ± 3.45 51.20 ± 0.91 / 61.75 ± 0.63 63.23 ± 0.96 / 16.22 ± 0.74 15.26 ± 0.67 / 35.76 ± 0.34 4.03 ± 0.90 / 27.17 ± 0.73 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
BramVanroy/GEITje-7B-ultra-sft (few-shot) 7242 32 8192 False 5,979 ± 1,044 / 1,724 ± 559 3.22 39.41 ± 2.93 / 30.59 ± 1.59 7.00 ± 3.04 / 35.01 ± 3.72 16.10 ± 2.34 / 52.05 ± 3.60 53.02 ± 0.97 / 65.63 ± 0.72 67.74 ± 0.43 / 20.32 ± 0.57 25.80 ± 0.75 / 42.85 ± 0.76 12.49 ± 2.15 / 33.04 ± 2.08 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
01-ai/Yi-1.5-6B (few-shot) 6061 64 4224 True 2,867 ± 550 / 793 ± 253 3.25 51.18 ± 1.62 / 35.45 ± 1.88 9.23 ± 2.84 / 19.38 ± 4.37 1.99 ± 2.56 / 34.69 ± 1.59 54.66 ± 1.25 / 65.31 ± 1.06 60.81 ± 1.16 / 15.41 ± 0.63 28.03 ± 1.02 / 45.90 ± 0.79 23.64 ± 1.21 / 42.59 ± 0.96 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 3.30 42.52 ± 3.31 / 33.08 ± 2.70 9.91 ± 1.71 / 35.24 ± 2.62 0.69 ± 2.82 / 36.10 ± 2.58 56.95 ± 1.18 / 66.87 ± 1.37 63.71 ± 0.60 / 17.04 ± 0.70 20.93 ± 1.42 / 40.35 ± 1.23 24.42 ± 1.73 / 42.26 ± 1.49 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
BramVanroy/fietje-2b (few-shot) 2780 51 2048 True 4,804 ± 1,045 / 1,220 ± 392 3.31 33.92 ± 3.43 / 28.63 ± 2.42 13.39 ± 1.64 / 41.03 ± 1.87 6.75 ± 2.55 / 41.28 ± 2.37 58.57 ± 1.03 / 69.39 ± 0.79 61.49 ± 0.90 / 16.13 ± 0.80 24.66 ± 0.67 / 42.68 ± 0.55 4.78 ± 1.80 / 27.19 ± 1.20 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 3.32 54.56 ± 2.96 / 37.86 ± 2.49 8.43 ± 1.27 / 24.23 ± 0.94 10.99 ± 2.55 / 50.46 ± 4.17 55.91 ± 1.08 / 66.78 ± 1.13 57.88 ± 1.41 / 12.36 ± 1.30 25.12 ± 1.17 / 43.50 ± 0.92 10.65 ± 1.55 / 31.51 ± 1.52 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
meta-llama/Llama-3.2-3B (few-shot) 3213 128 131200 True 3,713 ± 877 / 836 ± 267 3.33 47.40 ± 3.29 / 33.11 ± 2.04 7.90 ± 1.98 / 30.71 ± 1.89 3.10 ± 1.93 / 34.24 ± 0.73 56.53 ± 1.48 / 68.47 ± 1.35 62.27 ± 2.04 / 16.54 ± 1.58 29.18 ± 0.87 / 46.04 ± 0.54 10.34 ± 1.08 / 32.08 ± 1.06 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
01-ai/Yi-6B (few-shot) 6061 64 4096 True 6,435 ± 1,316 / 1,632 ± 549 3.34 46.34 ± 2.00 / 33.30 ± 1.78 8.96 ± 1.44 / 18.10 ± 2.39 0.88 ± 1.23 / 33.53 ± 0.48 55.33 ± 1.28 / 66.50 ± 0.94 58.35 ± 1.57 / 14.29 ± 0.85 29.33 ± 0.91 / 46.94 ± 0.68 20.27 ± 1.38 / 39.32 ± 1.12 9.3.2 10.0.0 10.0.0 12.5.1 12.0.0 10.0.1 10.0.1
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 3.37 40.49 ± 4.32 / 30.86 ± 2.27 7.10 ± 1.85 / 27.42 ± 1.76 18.66 ± 2.39 / 55.25 ± 3.77 59.92 ± 0.61 / 70.24 ± 0.75 62.58 ± 1.13 / 16.33 ± 0.81 17.36 ± 1.12 / 37.44 ± 0.99 6.68 ± 1.82 / 29.30 ± 1.02 9.2.0 9.2.0 9.2.0 12.5.1 11.0.0 9.2.0 9.2.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 3.42 35.74 ± 3.22 / 31.74 ± 2.24 12.55 ± 1.39 / 39.80 ± 1.38 0.23 ± 0.44 / 33.35 ± 0.31 51.30 ± 1.63 / 64.17 ± 0.87 58.90 ± 1.59 / 14.17 ± 0.80 22.20 ± 1.53 / 41.49 ± 1.08 13.11 ± 1.85 / 33.86 ± 1.69 12.5.2 10.0.1 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 3.45 48.24 ± 2.28 / 40.24 ± 1.90 11.37 ± 1.34 / 33.54 ± 1.83 10.73 ± 1.76 / 48.26 ± 4.65 54.83 ± 1.16 / 65.28 ± 1.11 64.32 ± 0.90 / 18.12 ± 1.06 0.72 ± 1.25 / 24.90 ± 0.92 -0.47 ± 0.87 / 24.28 ± 0.68 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-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 3.46 35.30 ± 3.76 / 33.68 ± 1.80 15.67 ± 2.21 / 31.30 ± 4.51 1.76 ± 2.37 / 47.60 ± 1.68 45.05 ± 1.68 / 55.38 ± 1.66 59.15 ± 1.54 / 14.60 ± 0.72 6.24 ± 1.54 / 29.02 ± 1.30 0.47 ± 1.20 / 24.89 ± 0.59 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
allenai/OLMo-1.7-7B-hf (few-shot) 6888 50 4096 True 3,371 ± 876 / 561 ± 184 3.53 46.95 ± 2.32 / 36.13 ± 1.88 4.34 ± 2.10 / 19.37 ± 2.08 3.46 ± 1.91 / 41.32 ± 3.08 57.07 ± 0.89 / 68.14 ± 0.65 61.31 ± 0.64 / 17.24 ± 0.72 18.21 ± 0.70 / 37.51 ± 0.63 9.03 ± 1.04 / 29.35 ± 0.77 12.10.5 12.10.4 12.10.4 12.10.5 12.10.5 12.10.4 12.10.4
ibm-granite/granite-3b-code-base-2k (few-shot) 3483 49 2048 True 2,732 ± 868 / 662 ± 238 3.58 50.88 ± 3.41 / 39.51 ± 3.29 12.39 ± 1.50 / 30.05 ± 1.80 3.31 ± 1.19 / 37.97 ± 4.40 48.44 ± 1.06 / 58.85 ± 0.75 52.50 ± 2.95 / 10.11 ± 2.12 9.22 ± 0.79 / 31.06 ± 0.75 4.45 ± 1.38 / 28.26 ± 1.08 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
google/gemma-2-2b (few-shot) 2614 256 8320 True 5,235 ± 1,226 / 1,154 ± 366 3.59 22.63 ± 4.98 / 22.71 ± 2.86 8.11 ± 1.55 / 28.07 ± 1.80 8.04 ± 1.79 / 48.95 ± 2.97 52.39 ± 2.14 / 65.22 ± 1.11 61.90 ± 1.04 / 17.09 ± 0.93 22.76 ± 0.76 / 41.67 ± 0.80 8.50 ± 1.32 / 30.16 ± 1.11 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3b-code-instruct-2k (few-shot) 3483 49 2048 True 9,059 ± 1,947 / 2,201 ± 728 3.59 48.53 ± 3.89 / 38.20 ± 2.92 10.15 ± 1.55 / 22.01 ± 1.44 4.88 ± 2.27 / 38.78 ± 3.56 45.38 ± 0.93 / 56.09 ± 1.05 59.56 ± 1.09 / 15.20 ± 0.56 7.38 ± 1.06 / 29.60 ± 0.71 2.69 ± 0.56 / 25.85 ± 0.33 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
MaLA-LM/emma-500-llama2-7b (few-shot) 6738 32 4096 True 6,275 ± 1,193 / 1,755 ± 578 3.63 36.61 ± 3.37 / 31.91 ± 2.20 8.77 ± 1.80 / 25.31 ± 1.42 3.52 ± 2.07 / 35.34 ± 1.61 59.51 ± 0.97 / 70.33 ± 0.64 54.50 ± 5.78 / 15.01 ± 1.59 14.90 ± 1.44 / 35.20 ± 1.09 7.26 ± 1.56 / 29.91 ± 1.18 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-3.2-1B-Instruct (few-shot) 1236 128 131200 False 7,436 ± 1,846 / 1,508 ± 479 3.67 42.01 ± 2.06 / 37.16 ± 1.98 9.15 ± 1.70 / 32.55 ± 2.69 1.11 ± 2.15 / 36.71 ± 3.89 40.04 ± 1.61 / 53.75 ± 1.10 58.72 ± 1.05 / 12.47 ± 0.62 17.71 ± 0.69 / 38.01 ± 0.61 6.98 ± 1.11 / 28.05 ± 1.00 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-sw3-20b-instruct (few-shot) 20918 64 2048 True 1,831 ± 587 / 268 ± 90 3.69 24.44 ± 1.62 / 25.02 ± 1.72 18.40 ± 2.14 / 40.21 ± 2.51 4.85 ± 2.01 / 49.10 ± 2.56 39.83 ± 1.08 / 52.69 ± 1.15 54.89 ± 1.27 / 13.01 ± 0.47 4.38 ± 1.45 / 27.07 ± 1.30 1.95 ± 0.83 / 24.88 ± 0.71 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
ibm-granite/granite-7b-base (few-shot) 6738 32 2048 True 4,405 ± 1,098 / 1,032 ± 345 3.69 37.39 ± 3.37 / 32.77 ± 1.97 7.51 ± 1.57 / 19.22 ± 1.72 3.11 ± 0.88 / 50.54 ± 0.90 49.60 ± 1.28 / 61.06 ± 0.94 57.63 ± 1.86 / 12.27 ± 0.83 14.52 ± 1.25 / 35.34 ± 0.95 6.60 ± 1.13 / 29.30 ± 0.97 12.10.5 12.10.5 12.10.5 12.10.5 12.10.5 12.10.8 12.10.8
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 3.76 35.49 ± 3.10 / 29.35 ± 2.75 11.36 ± 1.56 / 30.66 ± 3.68 2.52 ± 2.14 / 42.60 ± 4.80 37.49 ± 1.37 / 47.34 ± 1.53 62.24 ± 0.86 / 15.62 ± 0.60 5.41 ± 1.15 / 27.75 ± 0.75 0.15 ± 0.98 / 25.59 ± 0.57 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.84 38.85 ± 3.77 / 32.18 ± 2.49 11.25 ± 1.90 / 28.36 ± 1.81 -2.27 ± 1.37 / 37.91 ± 2.26 45.95 ± 1.11 / 56.54 ± 0.95 51.99 ± 8.25 / 12.75 ± 2.04 10.97 ± 0.92 / 32.28 ± 0.76 1.45 ± 1.15 / 24.79 ± 0.52 12.5.2 12.1.0 12.1.0 12.4.0 12.4.0 12.1.0 12.1.0
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.89 16.90 ± 4.91 / 17.38 ± 4.30 9.95 ± 0.78 / 27.94 ± 1.43 0.41 ± 1.03 / 33.54 ± 0.32 49.15 ± 1.55 / 59.16 ± 1.44 58.61 ± 2.22 / 13.67 ± 1.15 10.94 ± 0.50 / 31.87 ± 0.76 3.29 ± 0.95 / 26.85 ± 0.49 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 3.90 23.44 ± 5.09 / 25.00 ± 2.33 6.82 ± 1.82 / 30.97 ± 2.65 4.11 ± 1.73 / 43.70 ± 3.47 33.16 ± 1.61 / 46.66 ± 1.27 60.91 ± 0.99 / 12.65 ± 0.41 12.11 ± 0.90 / 33.62 ± 0.61 6.41 ± 1.13 / 29.73 ± 0.82 12.5.2 11.0.0 12.1.0 12.5.0 12.5.0 12.1.0 12.1.0
stabilityai/stablelm-2-1_6b (few-shot) 1645 100 4096 True 7,259 ± 2,120 / 1,240 ± 432 3.90 36.58 ± 3.88 / 33.82 ± 2.87 6.32 ± 1.30 / 24.04 ± 1.14 4.01 ± 2.01 / 36.03 ± 1.61 52.81 ± 0.81 / 63.87 ± 1.27 52.24 ± 1.79 / 10.76 ± 0.68 10.24 ± 1.06 / 31.02 ± 0.79 6.75 ± 0.83 / 28.50 ± 0.84 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8 12.10.8
Tweeties/tweety-7b-dutch-v24a (few-shot) 7391 50 1024 True 2,971 ± 423 / 1,351 ± 410 3.93 35.83 ± 3.06 / 29.15 ± 2.80 12.47 ± 2.51 / 40.41 ± 2.26 16.81 ± 3.31 / 53.38 ± 5.08 0.00 ± 0.00 / 14.18 ± 0.38 51.61 ± 0.65 / 9.48 ± 0.19 20.21 ± 1.63 / 37.93 ± 1.39 5.94 ± 1.54 / 28.98 ± 0.98 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 3.94 31.84 ± 3.39 / 28.66 ± 1.77 1.56 ± 3.25 / 28.78 ± 2.60 5.05 ± 1.34 / 43.99 ± 4.14 40.55 ± 0.77 / 48.56 ± 0.95 60.35 ± 1.16 / 13.63 ± 0.63 13.39 ± 0.96 / 34.55 ± 0.65 4.57 ± 0.96 / 27.42 ± 0.73 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-1.7B (few-shot) 1711 49 8192 True 16,249 ± 3,690 / 3,689 ± 1,226 3.98 22.84 ± 5.42 / 25.11 ± 3.52 4.60 ± 2.12 / 29.94 ± 1.50 2.55 ± 1.41 / 40.88 ± 3.15 40.33 ± 1.19 / 48.35 ± 1.31 58.31 ± 1.50 / 13.08 ± 0.51 14.32 ± 0.71 / 35.65 ± 0.50 3.87 ± 1.02 / 27.14 ± 0.66 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 (few-shot) 7537 68 4096 True 3,035 ± 503 / 911 ± 300 3.99 24.15 ± 5.73 / 26.49 ± 4.13 8.31 ± 1.56 / 20.06 ± 1.06 1.60 ± 1.71 / 41.51 ± 3.60 37.08 ± 1.76 / 49.32 ± 0.87 59.43 ± 1.17 / 14.57 ± 0.83 3.04 ± 1.28 / 26.56 ± 0.79 3.70 ± 1.54 / 26.98 ± 1.26 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 4.07 18.66 ± 4.43 / 17.56 ± 4.28 8.59 ± 3.20 / 29.65 ± 5.10 0.34 ± 2.02 / 43.92 ± 3.15 26.74 ± 1.57 / 35.03 ± 2.14 62.36 ± 0.81 / 11.72 ± 0.73 2.09 ± 1.13 / 25.90 ± 0.60 1.44 ± 1.12 / 26.50 ± 0.68 12.5.2 11.0.0 12.1.0 12.5.0 12.5.0 12.1.0 12.1.0
LumiOpen/Viking-13B (few-shot) 14030 131 4224 True 840 ± 79 / 400 ± 124 4.09 36.74 ± 3.36 / 32.36 ± 1.39 8.57 ± 2.44 / 34.17 ± 2.59 3.01 ± 1.94 / 46.03 ± 4.19 32.32 ± 1.55 / 40.73 ± 1.64 51.76 ± 1.36 / 10.67 ± 0.56 0.67 ± 1.15 / 24.89 ± 0.79 -0.30 ± 1.01 / 23.52 ± 0.38 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 4.15 11.66 ± 6.46 / 15.15 ± 4.38 5.20 ± 1.78 / 35.43 ± 2.14 2.89 ± 1.91 / 41.36 ± 4.63 34.60 ± 2.17 / 48.83 ± 1.05 55.00 ± 1.73 / 11.21 ± 0.64 13.56 ± 0.64 / 34.17 ± 0.48 5.89 ± 0.82 / 29.17 ± 0.66 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 4.19 28.30 ± 3.90 / 28.67 ± 3.15 4.54 ± 2.76 / 26.53 ± 3.74 -0.42 ± 2.41 / 37.60 ± 3.89 20.81 ± 2.21 / 29.05 ± 2.31 58.40 ± 2.03 / 10.34 ± 0.54 7.44 ± 0.51 / 29.86 ± 0.35 1.70 ± 1.42 / 26.04 ± 0.91 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
meta-llama/Llama-3.2-1B (few-shot) 1236 128 131200 True 7,577 ± 1,884 / 1,555 ± 492 4.20 22.03 ± 4.43 / 19.22 ± 3.92 4.25 ± 2.95 / 26.57 ± 3.31 1.46 ± 1.83 / 42.29 ± 4.01 41.76 ± 1.92 / 52.60 ± 1.99 51.56 ± 1.45 / 10.34 ± 0.52 5.46 ± 1.05 / 28.09 ± 0.78 -0.58 ± 0.81 / 23.58 ± 0.50 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
allenai/OLMo-7B (few-shot) 6888 50 2176 True 5,403 ± 1,133 / 1,294 ± 423 4.21 37.37 ± 2.22 / 30.45 ± 2.45 9.55 ± 1.82 / 23.90 ± 1.53 0.05 ± 1.35 / 35.78 ± 2.30 34.81 ± 1.54 / 46.37 ± 1.51 45.22 ± 0.39 / 8.61 ± 0.17 3.92 ± 1.04 / 27.22 ± 0.63 0.16 ± 0.55 / 25.29 ± 0.61 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
NorwAI/NorwAI-Llama2-7B (few-shot) 7033 68 4096 True 4,438 ± 1,128 / 1,028 ± 346 4.27 22.50 ± 2.27 / 24.09 ± 2.40 6.04 ± 1.51 / 18.08 ± 2.09 -0.61 ± 1.30 / 46.51 ± 2.55 26.96 ± 1.55 / 35.73 ± 1.87 56.55 ± 3.05 / 13.22 ± 1.01 0.27 ± 1.29 / 24.94 ± 0.91 1.47 ± 0.79 / 25.75 ± 0.39 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4
HuggingFaceTB/SmolLM2-360M (few-shot) 362 49 8192 True 22,023 ± 6,203 / 3,675 ± 1,231 4.34 20.95 ± 2.02 / 25.63 ± 1.96 6.84 ± 1.76 / 27.74 ± 5.49 -1.50 ± 1.30 / 34.07 ± 0.45 22.67 ± 1.77 / 30.14 ± 1.68 53.89 ± 2.61 / 10.53 ± 0.37 -0.45 ± 1.59 / 24.24 ± 0.79 -0.31 ± 1.39 / 23.58 ± 0.40 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 4.42 15.68 ± 5.54 / 22.21 ± 5.42 6.73 ± 2.20 / 27.67 ± 4.00 0.63 ± 1.05 / 43.48 ± 2.98 19.73 ± 1.42 / 27.47 ± 1.35 50.53 ± 2.03 / 9.14 ± 0.47 1.30 ± 0.75 / 24.43 ± 0.78 -0.36 ± 0.85 / 24.09 ± 0.49 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
state-spaces/mamba-2.8b-hf (few-shot) 2768 50 32896 True 2,722 ± 495 / 766 ± 250 4.49 22.95 ± 1.99 / 23.05 ± 1.55 2.40 ± 1.70 / 22.89 ± 4.81 3.12 ± 1.51 / 45.58 ± 4.56 22.40 ± 1.73 / 32.09 ± 1.56 50.36 ± 2.03 / 9.96 ± 0.95 -0.48 ± 0.81 / 24.57 ± 0.67 1.28 ± 1.03 / 26.62 ± 0.80 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2176 True 5,484 ± 1,125 / 1,317 ± 425 4.52 18.70 ± 5.76 / 19.58 ± 4.59 3.70 ± 1.69 / 17.91 ± 1.48 2.19 ± 2.08 / 45.43 ± 3.44 38.08 ± 1.07 / 48.44 ± 1.55 43.79 ± 0.51 / 7.59 ± 0.20 0.65 ± 1.39 / 25.05 ± 1.02 -0.02 ± 0.92 / 24.75 ± 0.66 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
allenai/OLMo-1B (few-shot) 1177 50 2176 True 8,536 ± 1,926 / 1,940 ± 619 4.72 22.58 ± 5.05 / 26.82 ± 3.69 4.92 ± 2.71 / 19.51 ± 4.22 -1.27 ± 1.85 / 41.38 ± 3.59 6.64 ± 1.96 / 11.74 ± 1.62 43.43 ± 0.37 / 7.83 ± 0.14 -0.56 ± 1.27 / 24.38 ± 0.98 0.29 ± 1.06 / 25.10 ± 0.83 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) 135 49 8192 True 25,602 ± 7,583 / 3,953 ± 1,325 4.76 15.82 ± 3.13 / 16.46 ± 2.61 -0.62 ± 1.55 / 16.18 ± 1.88 1.16 ± 1.38 / 34.30 ± 1.27 3.25 ± 1.17 / 5.89 ± 0.97 54.82 ± 3.44 / 9.74 ± 0.58 1.36 ± 1.10 / 25.96 ± 0.81 0.34 ± 1.33 / 25.40 ± 0.83 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
HuggingFaceTB/SmolLM2-135M (few-shot) 135 49 8192 True 26,346 ± 7,812 / 4,082 ± 1,372 4.76 17.49 ± 2.94 / 18.59 ± 2.66 2.01 ± 1.88 / 15.88 ± 1.32 -0.02 ± 0.15 / 34.86 ± 2.12 0.53 ± 0.36 / 3.23 ± 0.51 52.46 ± 1.93 / 9.47 ± 0.33 0.33 ± 0.71 / 25.12 ± 0.63 -0.10 ± 0.85 / 24.87 ± 0.65 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.85 0.00 ± 0.00 / 0.00 ± 0.00 0.95 ± 1.17 / 9.87 ± 0.86 0.00 ± 0.00 / 33.34 ± 0.31 0.00 ± 0.00 / 5.43 ± 0.58 60.14 ± 0.15 / 10.07 ± 0.16 0.11 ± 0.64 / 24.32 ± 0.78 -0.13 ± 0.82 / 23.60 ± 0.33 9.3.1 9.3.1 9.3.1 12.5.1 9.3.1 9.3.1 9.3.1
ssmits/Falcon2-5.5B-multilingual (few-shot) 5465 65 8192 True 7,692 ± 1,423 / 1,960 ± 644 5.12 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 8.62 ± 0.30 0.00 ± 0.00 / 33.34 ± 0.31 0.00 ± 0.00 / 0.01 ± 0.00 43.74 ± 0.57 / 0.22 ± 0.04 0.32 ± 0.67 / 24.79 ± 0.61 1.73 ± 1.07 / 26.61 ± 0.61 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-pretrain (few-shot) 7537 68 4096 True 3,024 ± 496 / 909 ± 301 5.13 3.80 ± 1.23 / 4.24 ± 1.19 0.97 ± 1.50 / 13.00 ± 2.52 -0.37 ± 0.55 / 33.40 ± 0.35 0.40 ± 0.25 / 2.98 ± 0.44 45.25 ± 4.22 / 6.15 ± 1.03 -0.98 ± 0.91 / 24.82 ± 0.88 -0.05 ± 1.07 / 24.51 ± 0.88 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4 12.10.4
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 5.43 0.11 ± 0.21 / 0.27 ± 0.53 -0.67 ± 1.33 / 8.96 ± 0.37 -0.97 ± 1.56 / 34.83 ± 1.94 0.29 ± 0.21 / 1.56 ± 0.19 30.20 ± 0.68 / 2.14 ± 0.04 1.45 ± 0.84 / 24.91 ± 0.60 -0.56 ± 0.80 / 23.53 ± 0.49 9.3.1 10.0.1 11.0.0 12.5.1 12.0.0 11.0.0 11.0.0
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