German NLG 🇩🇪

Last updated: 28/05/2024 09:18:25 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank GermEval SB10k ScaLA-de GermanQuAD MLSum MMLU-de HellaSwag-de GermEval version SB10k version ScaLA-de version GermanQuAD version MLSum version MMLU-de version HellaSwag-de version
gpt-4-0613 (few-shot, val) unknown 100 8220 True 597 ± 197 / 93 ± 33 1.15 69.48 ± 2.32 / 54.66 ± 2.17 64.91 ± 1.86 / 75.96 ± 1.59 50.23 ± 4.16 / 74.54 ± 2.10 33.17 ± 1.86 / 65.14 ± 1.53 66.35 ± 0.59 / 19.81 ± 1.46 71.92 ± 2.22 / 78.79 ± 1.65 82.85 ± 1.48 / 86.99 ± 1.12 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 8221 True 312 ± 55 / 177 ± 51 1.27 69.04 ± 2.51 / 61.10 ± 3.39 63.51 ± 2.57 / 75.01 ± 1.74 37.41 ± 2.43 / 67.63 ± 1.05 38.29 ± 3.54 / 69.69 ± 2.78 70.00 ± 1.41 / 29.78 ± 3.58 64.93 ± 2.76 / 73.71 ± 2.07 66.54 ± 4.29 / 74.45 ± 3.24 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 127998 True 576 ± 221 / 81 ± 28 1.44 68.94 ± 2.50 / 44.89 ± 2.85 57.46 ± 3.32 / 69.93 ± 2.43 49.58 ± 7.26 / 74.12 ± 3.50 30.04 ± 1.30 / 58.77 ± 1.50 63.62 ± 0.65 / 13.08 ± 0.87 58.81 ± 2.30 / 68.20 ± 1.71 81.81 ± 3.23 / 86.13 ± 2.50 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-3-70B-Instruct (few-shot, val) 70554 128 8221 True 1,673 ± 583 / 275 ± 85 1.48 75.20 ± 2.15 / 64.06 ± 3.60 54.38 ± 3.31 / 68.02 ± 2.21 36.59 ± 4.24 / 67.36 ± 1.77 26.90 ± 2.67 / 58.28 ± 2.22 68.63 ± 1.20 / 26.12 ± 3.00 62.69 ± 1.83 / 71.95 ± 1.40 69.18 ± 2.73 / 76.41 ± 2.08 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
upstage/SOLAR-10.7B-v1.0 (few-shot) 10732 32 4096 True 3,780 ± 906 / 799 ± 261 1.54 68.11 ± 1.32 / 56.25 ± 1.65 59.79 ± 1.60 / 71.47 ± 1.54 35.45 ± 3.06 / 66.13 ± 1.28 37.27 ± 1.23 / 68.54 ± 1.94 69.31 ± 0.95 / 28.82 ± 2.24 41.20 ± 0.85 / 55.90 ± 0.66 72.65 ± 0.69 / 79.18 ± 0.58 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
152334H/miqu-1-70b-sf (few-shot, val) 68977 32 32793 True 2,126 ± 676 / 319 ± 104 1.67 65.19 ± 2.58 / 56.17 ± 3.57 59.80 ± 2.15 / 71.98 ± 1.46 41.86 ± 5.44 / 69.70 ± 2.31 25.51 ± 3.79 / 63.19 ± 2.48 66.80 ± 0.76 / 20.65 ± 1.59 55.18 ± 3.35 / 66.48 ± 2.49 61.68 ± 3.07 / 70.78 ± 2.37 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 4125 True 1,892 ± 650 / 318 ± 105 1.68 63.71 ± 2.43 / 57.08 ± 2.70 58.17 ± 2.51 / 71.34 ± 1.62 36.33 ± 5.00 / 64.51 ± 3.38 36.06 ± 2.89 / 69.62 ± 2.81 69.82 ± 1.03 / 30.79 ± 2.46 46.44 ± 2.49 / 59.88 ± 1.74 48.89 ± 2.85 / 61.33 ± 2.06 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 1.86 65.01 ± 0.68 / 43.34 ± 2.80 51.80 ± 1.29 / 67.45 ± 0.87 36.18 ± 1.31 / 67.86 ± 0.51 32.12 ± 2.08 / 67.30 ± 1.66 66.92 ± 0.41 / 23.23 ± 1.24 37.90 ± 1.03 / 53.36 ± 0.80 60.66 ± 1.28 / 70.32 ± 1.01 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
VAGOsolutions/SauerkrautLM-7b-LaserChat (few-shot) 7242 32 8192 False 2,387 ± 456 / 717 ± 226 1.86 64.73 ± 1.02 / 48.09 ± 2.90 51.08 ± 1.67 / 67.20 ± 1.34 36.46 ± 1.89 / 67.99 ± 0.80 33.30 ± 1.87 / 67.32 ± 1.73 66.30 ± 0.24 / 21.71 ± 0.72 38.13 ± 1.08 / 53.46 ± 0.82 58.71 ± 1.26 / 68.77 ± 1.01 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
gpt-3.5-turbo-0613 (few-shot, val) unknown 100 4095 True 921 ± 293 / 113 ± 37 1.89 61.50 ± 2.96 / 46.22 ± 3.41 55.50 ± 2.58 / 68.96 ± 2.00 38.96 ± 4.39 / 68.89 ± 2.54 30.20 ± 1.59 / 56.58 ± 1.78 64.90 ± 0.22 / 15.99 ± 0.32 35.39 ± 3.89 / 51.41 ± 2.98 56.88 ± 2.50 / 66.76 ± 2.02 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
gpt-4o-2024-05-13 (few-shot, val) unknown 200 127903 True 916 ± 329 / 114 ± 38 1.91 69.99 ± 1.63 / 45.58 ± 2.42 48.88 ± 3.52 / 64.06 ± 2.32 8.05 ± 5.12 / 37.30 ± 4.33 30.06 ± 1.04 / 60.77 ± 1.11 63.80 ± 0.60 / 13.87 ± 1.05 57.56 ± 3.60 / 67.07 ± 3.01 84.02 ± 1.40 / 87.93 ± 1.09 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
cstr/Spaetzle-v8-7b (few-shot, val) 7242 32 32768 False 5,980 ± 1,031 / 1,714 ± 552 2.00 58.90 ± 2.30 / 45.55 ± 3.30 61.34 ± 1.90 / 72.98 ± 1.30 31.58 ± 4.39 / 65.51 ± 2.23 24.91 ± 3.98 / 60.88 ± 3.31 67.25 ± 1.06 / 22.95 ± 2.64 34.62 ± 2.20 / 50.43 ± 1.52 48.70 ± 2.47 / 61.05 ± 1.79 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 2.00 64.81 ± 3.03 / 53.01 ± 3.41 59.60 ± 2.81 / 72.42 ± 1.83 27.06 ± 4.53 / 63.33 ± 2.30 25.22 ± 3.84 / 60.93 ± 2.99 67.31 ± 1.05 / 24.72 ± 2.95 35.84 ± 2.16 / 51.64 ± 1.56 49.13 ± 2.71 / 61.68 ± 2.03 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
VAGOsolutions/SauerkrautLM-7b-HerO (few-shot, val) 7242 32 32768 False 2,477 ± 467 / 744 ± 232 2.02 59.70 ± 2.05 / 50.40 ± 2.63 60.22 ± 2.99 / 72.76 ± 2.10 35.99 ± 4.53 / 67.21 ± 2.14 29.68 ± 3.29 / 65.65 ± 3.10 66.73 ± 0.80 / 21.40 ± 1.87 30.53 ± 2.51 / 47.62 ± 1.82 45.02 ± 2.33 / 57.93 ± 1.79 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 2.03 56.00 ± 1.94 / 43.49 ± 2.05 56.40 ± 3.89 / 70.17 ± 2.91 22.01 ± 5.17 / 56.97 ± 3.54 35.39 ± 2.49 / 64.61 ± 2.42 68.92 ± 0.99 / 26.93 ± 2.01 38.12 ± 0.75 / 53.52 ± 0.56 31.37 ± 1.37 / 47.65 ± 1.09 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
google/gemma-7b (few-shot) 8538 256 8096 True 1,378 ± 260 / 387 ± 119 2.04 39.88 ± 2.56 / 35.40 ± 2.63 56.23 ± 3.17 / 68.87 ± 2.73 32.71 ± 1.60 / 64.55 ± 1.54 36.58 ± 2.81 / 64.92 ± 2.97 69.41 ± 1.20 / 29.96 ± 3.00 41.56 ± 0.82 / 54.79 ± 0.60 30.77 ± 2.85 / 43.20 ± 2.53 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 2.05 68.18 ± 0.95 / 57.72 ± 1.15 58.33 ± 2.83 / 69.31 ± 3.16 29.12 ± 3.17 / 63.60 ± 1.63 28.68 ± 1.99 / 56.42 ± 3.34 65.23 ± 0.49 / 16.56 ± 0.94 38.44 ± 0.81 / 53.38 ± 0.60 37.69 ± 1.00 / 51.24 ± 0.73 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 2.08 64.38 ± 1.60 / 50.26 ± 2.53 54.44 ± 1.45 / 69.32 ± 1.02 26.03 ± 2.23 / 61.88 ± 1.38 25.68 ± 2.81 / 62.48 ± 2.93 68.16 ± 0.95 / 24.52 ± 2.45 33.84 ± 1.54 / 50.24 ± 1.19 50.99 ± 0.99 / 63.11 ± 0.75 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
VAGOsolutions/FC-SauerkrautLM-7b-beta (few-shot) unknown 32 8192 False 2,160 ± 514 / 668 ± 256 2.09 56.70 ± 1.55 / 41.89 ± 2.00 53.39 ± 1.89 / 67.16 ± 1.65 35.64 ± 1.50 / 66.83 ± 0.97 34.22 ± 1.43 / 67.00 ± 1.27 64.79 ± 0.22 / 17.18 ± 0.74 32.85 ± 0.79 / 49.55 ± 0.59 39.00 ± 2.60 / 53.77 ± 2.03 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
meta-llama/Llama-2-70b-chat-hf (few-shot, val) 68977 32 4125 True 1,979 ± 621 / 320 ± 105 2.09 62.39 ± 2.72 / 50.86 ± 2.31 53.16 ± 3.17 / 64.24 ± 3.42 31.81 ± 5.15 / 62.15 ± 4.02 28.99 ± 2.22 / 60.53 ± 2.92 66.98 ± 0.87 / 22.66 ± 2.41 35.72 ± 3.05 / 51.99 ± 2.09 35.26 ± 3.73 / 50.59 ± 3.17 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 130976 True 7,312 ± 1,668 / 1,609 ± 525 2.09 55.36 ± 0.81 / 36.14 ± 1.96 53.05 ± 2.34 / 65.57 ± 1.92 23.08 ± 1.54 / 58.65 ± 2.04 31.55 ± 1.09 / 62.02 ± 2.17 67.33 ± 0.98 / 24.07 ± 2.44 39.57 ± 0.74 / 54.67 ± 0.56 51.26 ± 0.93 / 63.03 ± 0.69 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0 12.10.0 12.10.0
occiglot/occiglot-7b-de-en-instruct (few-shot) 7242 32 32768 False 1,584 ± 217 / 635 ± 178 2.10 55.76 ± 1.16 / 40.04 ± 3.21 55.91 ± 2.49 / 70.31 ± 1.76 22.47 ± 3.37 / 56.77 ± 3.69 35.95 ± 1.89 / 66.86 ± 2.33 68.08 ± 0.49 / 25.46 ± 1.45 33.77 ± 0.86 / 49.44 ± 0.57 33.15 ± 1.86 / 48.23 ± 1.64 12.5.2 12.3.1 12.3.1 12.4.0 12.4.0 12.3.1 12.3.1
mlabonne/AlphaMonarch-7B (few-shot, val) 7242 32 8192 False 5,340 ± 1,262 / 1,157 ± 375 2.11 63.36 ± 2.68 / 51.59 ± 3.44 59.80 ± 3.18 / 72.32 ± 2.23 22.98 ± 8.11 / 60.88 ± 3.98 20.96 ± 3.59 / 57.36 ± 2.94 67.58 ± 1.11 / 24.69 ± 2.94 36.08 ± 1.55 / 51.68 ± 1.14 47.99 ± 2.87 / 60.55 ± 2.08 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
VAGOsolutions/SauerkrautLM-Gemma-7b (few-shot) 8538 256 8221 False 1,410 ± 299 / 370 ± 127 2.19 41.41 ± 2.64 / 26.93 ± 1.92 52.78 ± 4.59 / 66.87 ± 4.26 27.75 ± 1.14 / 63.54 ± 0.69 29.24 ± 2.44 / 58.33 ± 3.45 66.11 ± 1.41 / 22.22 ± 3.65 42.38 ± 0.74 / 56.56 ± 0.55 44.47 ± 2.47 / 56.41 ± 2.21 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
alpindale/Mistral-7B-v0.2-hf (few-shot) 7242 32 32768 True 1,841 ± 297 / 651 ± 193 2.22 55.32 ± 1.55 / 48.33 ± 1.45 52.49 ± 2.16 / 67.50 ± 1.61 24.34 ± 2.29 / 59.66 ± 2.93 31.54 ± 3.00 / 59.96 ± 3.89 68.98 ± 1.14 / 28.30 ± 2.36 35.12 ± 0.59 / 51.23 ± 0.46 28.89 ± 1.81 / 45.85 ± 1.47 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 2.22 55.37 ± 1.32 / 44.65 ± 2.48 54.27 ± 1.71 / 68.13 ± 1.16 23.12 ± 4.07 / 57.81 ± 3.70 31.89 ± 3.29 / 59.77 ± 4.31 68.24 ± 0.70 / 25.71 ± 1.33 35.63 ± 1.12 / 51.69 ± 0.85 26.40 ± 1.86 / 43.98 ± 1.58 9.1.2 9.1.2 9.1.2 12.5.1 11.0.0 9.1.2 9.2.0
occiglot/occiglot-7b-de-en (few-shot) 7242 32 32768 True 1,992 ± 319 / 706 ± 211 2.26 48.11 ± 2.01 / 39.66 ± 3.29 54.96 ± 2.69 / 69.64 ± 2.09 21.57 ± 4.18 / 55.63 ± 4.56 31.49 ± 3.11 / 61.33 ± 3.41 68.88 ± 0.67 / 27.13 ± 1.71 32.39 ± 0.86 / 49.12 ± 0.62 29.84 ± 1.54 / 46.53 ± 1.31 12.3.2 12.3.1 12.3.1 12.3.1 12.3.1 12.3.1 12.3.1
seedboxai/KafkaLM-7B-German-V0.1-DPO (few-shot) 7242 32 4096 False 6,070 ± 1,042 / 1,769 ± 573 2.28 48.92 ± 2.76 / 38.62 ± 2.42 52.57 ± 1.74 / 61.25 ± 2.84 20.74 ± 3.20 / 56.59 ± 3.27 32.87 ± 1.83 / 62.31 ± 2.13 68.88 ± 0.80 / 27.84 ± 2.07 31.38 ± 0.94 / 48.36 ± 0.62 29.83 ± 1.76 / 46.77 ± 1.39 12.5.2 12.3.2 12.3.2 12.4.0 12.4.0 12.3.2 12.3.2
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 2.30 52.63 ± 1.89 / 42.99 ± 2.40 43.16 ± 4.45 / 57.79 ± 4.61 27.09 ± 1.92 / 60.29 ± 1.99 34.01 ± 4.01 / 63.29 ± 3.97 69.43 ± 0.97 / 29.48 ± 2.59 32.56 ± 1.16 / 49.02 ± 0.79 23.61 ± 2.42 / 41.55 ± 2.14 12.5.2 12.2.0 12.3.1 12.4.0 12.4.0 12.3.1 12.3.1
seedboxai/KafkaLM-7B-German-V0.1 (few-shot) 7242 32 32768 True 6,065 ± 1,038 / 1,766 ± 570 2.31 48.35 ± 2.96 / 38.58 ± 2.35 52.51 ± 1.72 / 61.27 ± 2.77 20.36 ± 3.59 / 56.14 ± 3.61 32.88 ± 1.78 / 62.19 ± 2.05 68.82 ± 0.81 / 27.89 ± 2.09 31.36 ± 0.96 / 48.34 ± 0.63 29.98 ± 1.64 / 46.82 ± 1.33 12.5.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2 12.3.2
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 2.37 51.39 ± 1.35 / 44.47 ± 2.77 47.30 ± 4.44 / 62.28 ± 4.24 21.83 ± 1.98 / 57.05 ± 2.18 31.55 ± 3.67 / 60.39 ± 4.29 69.31 ± 0.68 / 28.27 ± 1.70 32.49 ± 0.91 / 48.82 ± 0.70 22.25 ± 2.13 / 40.28 ± 1.67 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.2.0
seedboxai/KafkaLM-13B-German-V0.1-DPO (few-shot) 13016 32 8221 False 789 ± 78 / 346 ± 102 2.40 52.45 ± 2.98 / 47.91 ± 2.37 49.72 ± 2.70 / 63.65 ± 2.76 20.72 ± 4.25 / 53.77 ± 5.69 30.18 ± 4.61 / 60.07 ± 5.86 68.97 ± 0.69 / 26.66 ± 1.82 27.71 ± 0.66 / 45.34 ± 0.63 21.44 ± 2.29 / 40.21 ± 1.74 12.7.0 12.7.0 12.7.0 12.7.0 12.10.0 12.10.0 12.10.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.47 55.10 ± 1.35 / 41.89 ± 1.61 47.69 ± 2.35 / 64.93 ± 1.71 24.14 ± 2.09 / 60.83 ± 1.63 23.93 ± 2.11 / 57.64 ± 1.89 67.51 ± 0.71 / 22.63 ± 1.73 26.06 ± 1.65 / 44.13 ± 1.29 31.09 ± 1.35 / 47.48 ± 0.98 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4125 False 3,254 ± 1,068 / 484 ± 173 2.48 57.02 ± 1.39 / 47.95 ± 2.09 49.75 ± 2.02 / 62.41 ± 3.30 19.80 ± 3.22 / 52.76 ± 5.45 27.86 ± 2.01 / 57.65 ± 2.01 66.83 ± 0.91 / 23.62 ± 2.07 25.99 ± 1.00 / 44.39 ± 0.75 24.90 ± 1.40 / 43.26 ± 1.22 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
mayflowergmbh/Wiedervereinigung-7b-dpo (few-shot, val) 7242 32 32768 False 2,374 ± 432 / 744 ± 230 2.49 52.17 ± 2.87 / 40.26 ± 2.43 51.92 ± 3.19 / 67.12 ± 2.11 29.06 ± 5.04 / 62.77 ± 2.22 14.59 ± 2.77 / 50.41 ± 3.79 63.78 ± 0.48 / 15.45 ± 0.60 35.38 ± 1.08 / 51.48 ± 0.84 34.16 ± 3.12 / 49.73 ± 2.20 12.5.2 12.1.0 12.1.0 12.4.0 12.4.0 12.1.0 12.1.0
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 2.53 50.66 ± 1.53 / 39.89 ± 2.43 54.79 ± 3.53 / 68.79 ± 3.00 20.17 ± 1.69 / 58.67 ± 1.13 27.86 ± 4.70 / 54.38 ± 5.91 65.53 ± 1.07 / 19.46 ± 1.48 27.04 ± 1.04 / 44.99 ± 0.77 17.47 ± 3.26 / 36.70 ± 2.93 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
DiscoResearch/DiscoLM_German_7b_v1 (few-shot) 7242 32 32768 False 1,972 ± 315 / 689 ± 204 2.54 42.39 ± 2.43 / 32.42 ± 1.53 48.67 ± 3.85 / 59.21 ± 4.18 8.72 ± 2.15 / 43.37 ± 3.69 36.12 ± 2.35 / 66.54 ± 2.34 68.47 ± 1.27 / 26.03 ± 3.68 23.99 ± 1.15 / 41.69 ± 0.96 20.76 ± 1.28 / 38.13 ± 1.29 12.5.2 12.0.0 12.1.0 12.4.0 12.4.0 12.1.0 12.1.0
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32797 False 634 ± 179 / 110 ± 35 2.59 47.19 ± 3.74 / 33.02 ± 2.09 47.26 ± 3.14 / 63.48 ± 2.94 22.32 ± 1.78 / 56.73 ± 4.00 24.36 ± 3.78 / 54.61 ± 4.44 67.75 ± 1.10 / 25.91 ± 2.95 26.79 ± 1.01 / 44.58 ± 0.85 20.33 ± 1.63 / 39.63 ± 1.09 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4125 True 930 ± 310 / 128 ± 43 2.69 43.02 ± 1.93 / 32.69 ± 1.98 50.21 ± 2.43 / 65.81 ± 1.82 15.79 ± 2.35 / 53.25 ± 4.45 28.57 ± 5.09 / 55.54 ± 6.14 68.68 ± 0.96 / 26.95 ± 1.81 18.38 ± 1.36 / 38.12 ± 1.19 8.45 ± 1.86 / 30.07 ± 1.49 12.8.0 12.8.0 12.8.0 12.8.0 12.9.0 12.9.0 12.9.0
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4125 False 2,643 ± 455 / 800 ± 247 2.72 50.09 ± 1.33 / 38.59 ± 1.66 46.52 ± 2.85 / 63.64 ± 2.10 15.23 ± 1.71 / 55.08 ± 1.88 25.54 ± 3.58 / 56.07 ± 3.76 67.62 ± 0.89 / 23.52 ± 2.43 20.12 ± 1.13 / 39.48 ± 1.02 13.98 ± 1.56 / 34.07 ± 1.30 12.9.0 12.9.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 2.73 42.08 ± 1.65 / 36.90 ± 2.00 41.52 ± 3.53 / 57.69 ± 3.35 12.78 ± 3.75 / 46.43 ± 5.48 29.35 ± 2.51 / 59.90 ± 2.80 65.56 ± 1.65 / 20.45 ± 2.68 23.76 ± 0.70 / 42.77 ± 0.56 20.92 ± 1.16 / 40.56 ± 0.86 12.5.2 10.0.1 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0
google/gemma-7b-it (few-shot) 8538 256 8221 False 1,792 ± 249 / 668 ± 203 2.89 54.20 ± 1.00 / 48.58 ± 1.53 15.43 ± 3.70 / 43.11 ± 2.77 17.49 ± 1.23 / 57.46 ± 1.12 28.68 ± 5.36 / 60.07 ± 4.46 64.87 ± 0.47 / 22.25 ± 1.89 22.10 ± 0.68 / 40.39 ± 0.63 18.58 ± 1.48 / 36.49 ± 1.24 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
01-ai/Yi-6B (few-shot) 6061 64 4125 True 6,435 ± 1,316 / 1,632 ± 549 2.92 0.00 ± 0.00 / 0.00 ± 0.00 52.66 ± 2.45 / 67.63 ± 1.87 7.33 ± 2.53 / 37.69 ± 2.51 30.05 ± 1.59 / 57.13 ± 2.48 66.09 ± 1.28 / 23.20 ± 2.54 30.33 ± 0.78 / 47.68 ± 0.54 22.89 ± 1.14 / 41.15 ± 1.08 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 2.97 31.52 ± 2.96 / 29.20 ± 1.88 39.91 ± 3.29 / 53.66 ± 3.20 3.27 ± 2.51 / 34.30 ± 1.29 27.55 ± 3.12 / 57.60 ± 3.34 65.88 ± 1.25 / 21.37 ± 1.87 21.32 ± 1.14 / 40.66 ± 0.96 21.35 ± 0.89 / 40.77 ± 0.65 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
Rijgersberg/GEITje-7B (few-shot) 7242 32 32797 True 5,887 ± 1,087 / 1,600 ± 522 3.22 0.00 ± 0.00 / 0.00 ± 0.00 47.67 ± 2.82 / 60.09 ± 3.28 9.67 ± 2.79 / 46.35 ± 4.48 26.23 ± 3.79 / 53.16 ± 4.52 65.42 ± 0.61 / 18.57 ± 0.70 19.03 ± 1.34 / 36.86 ± 1.84 9.87 ± 1.98 / 30.31 ± 1.95 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
VAGOsolutions/SauerkrautLM-Gemma-2b (few-shot) 2506 256 8192 False 3,607 ± 565 / 1,212 ± 349 3.30 12.21 ± 2.76 / 11.93 ± 2.08 44.84 ± 2.70 / 57.27 ± 3.65 2.02 ± 2.19 / 37.47 ± 3.26 24.59 ± 2.70 / 49.79 ± 2.96 62.87 ± 2.44 / 18.13 ± 1.20 16.35 ± 0.62 / 36.72 ± 0.48 8.93 ± 0.99 / 30.43 ± 0.75 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 3.32 16.95 ± 2.96 / 15.80 ± 2.16 44.96 ± 3.30 / 61.27 ± 2.88 0.77 ± 1.22 / 33.68 ± 0.59 17.92 ± 4.72 / 40.68 ± 6.34 66.80 ± 0.96 / 22.24 ± 1.37 12.11 ± 0.94 / 33.12 ± 0.90 7.32 ± 1.40 / 30.11 ± 1.16 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.34 36.62 ± 1.56 / 28.22 ± 1.66 28.54 ± 2.70 / 50.10 ± 1.65 1.15 ± 1.66 / 38.16 ± 2.78 23.39 ± 1.00 / 51.61 ± 1.04 63.02 ± 2.00 / 19.54 ± 1.33 12.27 ± 1.33 / 33.40 ± 1.08 6.57 ± 0.74 / 28.60 ± 0.70 12.5.2 12.1.0 12.1.0 12.4.0 12.4.0 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 3.43 28.04 ± 2.71 / 24.08 ± 1.58 36.21 ± 3.42 / 54.82 ± 3.32 3.12 ± 1.42 / 46.21 ± 2.93 16.33 ± 3.22 / 41.91 ± 4.34 61.47 ± 1.67 / 12.62 ± 1.40 13.44 ± 1.22 / 34.26 ± 0.98 8.31 ± 1.08 / 31.05 ± 0.84 12.5.2 11.0.0 12.1.0 12.5.0 12.5.0 12.1.0 12.1.0
seedboxai/KafkaLM-70B-German-V0.1 (few-shot, val) 68977 32 4125 True 294 ± 21 / 168 ± 42 3.50 59.23 ± 2.95 / 52.06 ± 3.03 -5.01 ± 4.03 / 18.00 ± 0.71 3.19 ± 4.99 / 37.63 ± 3.16 19.84 ± 2.17 / 56.60 ± 3.00 62.42 ± 4.28 / 22.39 ± 3.89 18.40 ± 3.05 / 34.38 ± 2.84 1.52 ± 1.25 / 26.80 ± 1.34 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 3.54 9.23 ± 4.86 / 10.43 ± 3.83 38.30 ± 2.90 / 56.94 ± 2.83 0.39 ± 1.17 / 33.47 ± 0.34 16.67 ± 3.02 / 41.61 ± 3.00 61.74 ± 1.58 / 14.71 ± 1.12 13.65 ± 1.17 / 33.35 ± 0.91 8.86 ± 0.99 / 30.21 ± 0.77 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
LumiOpen/Viking-13B (few-shot) 14030 131 4128 True 3,530 ± 748 / 829 ± 277 3.55 34.53 ± 1.24 / 29.89 ± 1.96 42.90 ± 2.66 / 56.64 ± 4.71 1.51 ± 1.64 / 43.36 ± 4.05 15.83 ± 1.42 / 29.77 ± 2.54 61.40 ± 3.15 / 14.84 ± 2.07 -1.84 ± 1.09 / 23.98 ± 0.66 -0.12 ± 1.30 / 24.41 ± 0.96 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) 6738 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 3.60 27.22 ± 1.38 / 24.48 ± 1.76 33.61 ± 5.06 / 49.68 ± 5.74 0.45 ± 0.91 / 35.24 ± 3.71 20.44 ± 3.29 / 45.50 ± 3.33 60.50 ± 0.63 / 13.71 ± 0.75 -0.10 ± 0.93 / 25.16 ± 1.17 -1.00 ± 1.03 / 24.94 ± 1.00 9.3.1 12.10.0 9.3.1 12.5.2 12.4.0 9.3.1 9.3.1
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) 20918 64 2077 True 1,831 ± 587 / 268 ± 90 3.64 24.35 ± 1.72 / 21.90 ± 0.85 43.35 ± 3.81 / 60.49 ± 3.18 2.38 ± 1.21 / 37.27 ± 1.09 15.56 ± 2.24 / 34.68 ± 3.15 57.47 ± 0.69 / 14.10 ± 0.73 4.67 ± 0.91 / 27.88 ± 0.81 1.77 ± 1.29 / 25.47 ± 0.78 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-sw3-20b (few-shot) 20918 64 2077 True 1,875 ± 673 / 261 ± 91 3.68 36.17 ± 2.52 / 27.29 ± 1.74 34.17 ± 7.08 / 46.97 ± 8.28 2.21 ± 1.64 / 38.29 ± 3.56 13.60 ± 3.04 / 30.89 ± 4.33 51.97 ± 2.69 / 10.46 ± 2.09 3.68 ± 1.19 / 27.54 ± 0.71 0.64 ± 1.58 / 25.05 ± 1.13 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0 12.9.0
DiscoResearch/DiscoLM-70b (few-shot, val) 68977 32 8221 False 291 ± 23 / 163 ± 39 3.78 62.16 ± 2.83 / 48.46 ± 3.31 27.56 ± 3.62 / 47.04 ± 4.06 0.59 ± 1.16 / 32.41 ± 0.74 0.00 ± 0.00 / 4.44 ± 0.39 52.77 ± 0.13 / 4.84 ± 0.05 4.04 ± 2.64 / 22.46 ± 1.78 7.33 ± 5.87 / 28.83 ± 3.05 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 3.90 27.34 ± 1.95 / 24.46 ± 1.25 10.64 ± 5.31 / 26.79 ± 4.73 0.33 ± 1.20 / 35.20 ± 2.45 11.81 ± 2.10 / 27.38 ± 2.49 59.71 ± 2.14 / 12.23 ± 1.08 6.34 ± 1.10 / 29.19 ± 0.75 2.94 ± 0.65 / 27.16 ± 0.61 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-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 3.94 24.67 ± 0.99 / 23.98 ± 0.73 9.31 ± 2.97 / 21.50 ± 2.70 1.11 ± 1.69 / 37.88 ± 4.05 13.60 ± 1.60 / 29.10 ± 1.94 56.42 ± 7.64 / 11.68 ± 1.75 2.75 ± 0.91 / 27.17 ± 0.72 3.41 ± 1.30 / 27.45 ± 0.79 12.5.2 11.0.0 12.1.0 12.5.0 12.5.0 12.1.0 12.1.0
allenai/OLMo-7B (few-shot) 6888 50 2080 True 5,403 ± 1,133 / 1,294 ± 423 3.98 30.85 ± 4.69 / 24.38 ± 3.10 49.77 ± 2.81 / 64.87 ± 2.42 2.67 ± 1.77 / 41.55 ± 4.54 4.09 ± 1.94 / 12.70 ± 2.66 42.64 ± 0.22 / 4.37 ± 0.10 1.94 ± 0.76 / 26.86 ± 0.44 1.24 ± 0.75 / 25.78 ± 0.82 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
allenai/OLMo-7B-Twin-2T (few-shot) 6888 50 2080 True 5,484 ± 1,125 / 1,317 ± 425 4.24 14.06 ± 5.31 / 12.90 ± 4.52 28.07 ± 6.33 / 38.61 ± 7.42 2.31 ± 1.88 / 44.45 ± 4.23 6.89 ± 2.35 / 17.95 ± 3.37 43.42 ± 0.26 / 5.42 ± 0.11 1.66 ± 1.18 / 25.51 ± 0.86 1.50 ± 0.90 / 26.46 ± 0.95 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 541 True 5,847 ± 1,029 / 1,640 ± 525 4.47 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 17.05 ± 0.35 0.00 ± 0.00 / 33.34 ± 0.31 0.00 ± 0.00 / 14.17 ± 0.79 59.26 ± 0.09 / 9.32 ± 0.09 1.16 ± 0.57 / 22.46 ± 0.56 0.31 ± 0.50 / 24.18 ± 0.53 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
allenai/OLMo-1B (few-shot) 1177 50 2080 True 8,536 ± 1,926 / 1,940 ± 619 4.50 21.46 ± 2.04 / 20.83 ± 1.63 21.03 ± 6.33 / 38.33 ± 7.79 0.13 ± 1.48 / 43.17 ± 4.90 0.71 ± 0.53 / 6.02 ± 1.37 39.77 ± 0.20 / 4.80 ± 0.05 -0.08 ± 0.53 / 25.19 ± 1.04 -0.63 ± 0.73 / 24.55 ± 0.49 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
ai-forever/mGPT (few-shot) unknown 100 2077 True 11,734 ± 3,124 / 2,174 ± 720 5.03 0.00 ± 0.00 / 0.00 ± 0.00 0.19 ± 1.24 / 17.20 ± 1.22 -0.12 ± 0.91 / 36.65 ± 3.92 0.00 ± 0.00 / 1.29 ± 0.49 29.43 ± 1.80 / 2.35 ± 0.59 -0.69 ± 0.79 / 22.79 ± 0.51 0.15 ± 0.35 / 24.25 ± 0.59 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
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