English NLG 🇬🇧

Last updated: 30/05/2024 19:19:49 CET
Model ID Parameters Vocabulary size Context Commercial Speed Rank CoNLL-en SST5 ScaLA-en SQuAD CNN-DailyMail MMLU HellaSwag CoNLL-en version SST5 version ScaLA-en version SQuAD version CNN-DailyMail version MMLU version HellaSwag version
gpt-4-1106-preview (few-shot, val) unknown 100 128254 True 576 ± 221 / 81 ± 28 1.16 81.79 ± 1.39 / 65.51 ± 4.16 67.46 ± 2.21 / 73.89 ± 1.55 51.21 ± 4.96 / 75.11 ± 2.42 66.60 ± 1.45 / 84.48 ± 0.76 68.80 ± 0.43 / 21.84 ± 0.45 77.80 ± 1.56 / 83.12 ± 1.19 89.92 ± 1.48 / 92.34 ± 1.13 12.10.0 12.10.1 12.10.2 12.10.0 12.10.0 12.10.0 12.10.0
gpt-4-0613 (few-shot, val) unknown 100 8191 True 597 ± 197 / 93 ± 33 1.19 78.06 ± 2.73 / 70.76 ± 3.80 69.06 ± 2.20 / 76.04 ± 1.60 55.76 ± 3.84 / 76.34 ± 1.44 67.35 ± 1.98 / 85.76 ± 0.77 70.54 ± 0.24 / 26.98 ± 0.49 72.27 ± 2.36 / 78.75 ± 1.88 91.51 ± 2.15 / 93.59 ± 1.62 12.2.0 12.1.0 12.2.0 12.2.0 12.5.2 12.5.2 12.5.2
meta-llama/Meta-Llama-3-70B (few-shot, val) 70554 128 8192 True 312 ± 55 / 177 ± 51 1.30 79.06 ± 2.34 / 74.41 ± 2.24 65.53 ± 2.61 / 68.71 ± 2.08 46.28 ± 4.01 / 72.38 ± 2.33 75.20 ± 1.68 / 86.90 ± 1.14 69.10 ± 0.33 / 21.34 ± 0.43 72.64 ± 1.98 / 79.49 ± 1.48 77.49 ± 4.78 / 82.50 ± 3.93 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
VAGOsolutions/SauerkrautLM-7b-LaserChat (few-shot) 7242 32 8192 False 2,387 ± 456 / 717 ± 226 1.42 71.91 ± 1.16 / 62.61 ± 2.72 69.68 ± 0.91 / 69.92 ± 0.73 46.89 ± 2.30 / 72.87 ± 1.01 76.21 ± 1.03 / 89.02 ± 0.61 70.19 ± 0.35 / 27.05 ± 0.41 50.39 ± 1.26 / 62.73 ± 0.94 83.53 ± 0.67 / 87.62 ± 0.50 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
upstage/SOLAR-10.7B-v1.0 (few-shot) 10732 32 4096 True 3,780 ± 906 / 799 ± 261 1.43 69.50 ± 1.14 / 63.41 ± 0.77 70.01 ± 0.93 / 59.77 ± 0.59 41.35 ± 2.01 / 70.11 ± 0.82 76.79 ± 0.43 / 89.35 ± 0.19 71.16 ± 0.12 / 29.84 ± 0.23 51.95 ± 0.84 / 63.78 ± 0.62 90.94 ± 0.54 / 93.17 ± 0.41 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 8192 False 5,876 ± 1,021 / 1,677 ± 546 1.45 71.81 ± 1.02 / 59.93 ± 2.52 69.98 ± 1.00 / 69.79 ± 0.76 45.34 ± 2.51 / 72.10 ± 1.10 72.49 ± 1.57 / 87.51 ± 0.74 70.37 ± 0.32 / 27.70 ± 0.38 50.93 ± 1.34 / 62.98 ± 0.98 83.82 ± 0.80 / 87.83 ± 0.60 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
meta-llama/Llama-2-70b-hf (few-shot, val) 68977 32 4349 True 1,892 ± 650 / 318 ± 105 1.52 72.38 ± 1.28 / 66.44 ± 1.74 60.98 ± 2.19 / 68.64 ± 2.17 43.12 ± 5.21 / 70.12 ± 2.87 74.50 ± 3.41 / 86.22 ± 1.70 71.63 ± 0.35 / 26.83 ± 0.78 54.29 ± 1.91 / 65.78 ± 1.33 74.35 ± 4.59 / 80.47 ± 3.64 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 128127 True 916 ± 329 / 114 ± 38 1.53 83.48 ± 1.52 / 75.51 ± 2.26 61.71 ± 2.15 / 70.46 ± 1.41 32.79 ± 5.10 / 53.79 ± 4.33 65.41 ± 1.96 / 84.78 ± 0.68 67.64 ± 0.97 / 20.90 ± 0.92 67.89 ± 2.82 / 74.96 ± 2.32 90.07 ± 2.52 / 92.50 ± 1.91 12.10.0 12.10.1 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) 70554 128 8192 True 1,673 ± 583 / 275 ± 85 1.53 81.30 ± 1.35 / 76.64 ± 1.77 66.18 ± 2.04 / 72.85 ± 1.27 38.10 ± 2.32 / 68.58 ± 1.40 53.31 ± 3.61 / 77.76 ± 1.59 70.35 ± 0.46 / 26.71 ± 0.65 72.39 ± 1.41 / 79.30 ± 1.05 83.86 ± 2.24 / 87.81 ± 1.71 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 33017 True 2,126 ± 676 / 319 ± 104 1.54 71.83 ± 1.48 / 65.37 ± 1.62 62.99 ± 3.04 / 69.81 ± 1.86 39.97 ± 3.89 / 69.38 ± 1.87 64.42 ± 3.17 / 80.97 ± 1.54 71.27 ± 0.50 / 25.32 ± 0.64 64.27 ± 3.04 / 73.20 ± 2.27 77.60 ± 4.02 / 82.85 ± 3.10 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
VAGOsolutions/FC-SauerkrautLM-7b-beta (few-shot) unknown 32 8192 False 2,160 ± 514 / 668 ± 256 1.56 70.15 ± 0.85 / 60.29 ± 2.28 69.36 ± 0.87 / 67.37 ± 0.89 37.09 ± 2.04 / 68.05 ± 1.30 77.39 ± 1.14 / 89.74 ± 0.41 69.72 ± 0.17 / 25.82 ± 0.35 50.10 ± 1.05 / 62.63 ± 0.79 77.27 ± 0.64 / 82.91 ± 0.49 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 1.69 71.48 ± 2.47 / 69.71 ± 1.59 66.41 ± 2.66 / 68.72 ± 1.87 41.43 ± 2.57 / 70.34 ± 1.35 67.90 ± 1.61 / 85.57 ± 0.84 69.57 ± 0.18 / 24.41 ± 0.39 43.69 ± 3.59 / 57.38 ± 3.06 75.60 ± 3.04 / 81.48 ± 2.31 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0 0.0.0
VAGOsolutions/SauerkrautLM-7b-HerO (few-shot, val) 7242 32 32768 False 2,477 ± 467 / 744 ± 232 1.80 69.26 ± 2.17 / 57.48 ± 2.92 68.63 ± 2.65 / 73.31 ± 1.74 29.87 ± 3.02 / 63.64 ± 1.60 60.92 ± 2.44 / 80.40 ± 1.26 70.20 ± 0.33 / 26.15 ± 0.51 49.51 ± 2.34 / 61.84 ± 1.70 71.47 ± 2.32 / 78.36 ± 1.73 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 4096 True 1,979 ± 621 / 320 ± 105 1.84 72.80 ± 1.65 / 64.88 ± 3.12 63.76 ± 2.53 / 71.14 ± 1.90 28.37 ± 4.76 / 62.85 ± 3.04 64.70 ± 2.69 / 81.80 ± 1.41 71.04 ± 0.42 / 25.68 ± 0.52 47.00 ± 2.21 / 60.12 ± 1.58 61.56 ± 2.97 / 70.27 ± 2.27 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0 12.7.0
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 4,909 ± 1,215 / 978 ± 319 1.88 75.02 ± 1.31 / 69.47 ± 1.18 67.64 ± 1.12 / 71.04 ± 1.17 32.29 ± 3.05 / 64.85 ± 2.07 54.84 ± 2.22 / 79.10 ± 1.10 69.28 ± 0.17 / 25.48 ± 0.61 53.77 ± 1.03 / 64.91 ± 0.80 57.64 ± 1.55 / 67.29 ± 1.30 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
mlabonne/NeuralBeagle14-7B (few-shot, val) 7242 32 8192 False 2,549 ± 472 / 784 ± 245 1.88 69.16 ± 2.80 / 57.28 ± 2.82 63.85 ± 2.16 / 72.40 ± 1.71 28.40 ± 3.60 / 62.70 ± 1.51 52.69 ± 2.21 / 76.37 ± 1.27 70.55 ± 0.73 / 26.32 ± 0.97 51.74 ± 1.82 / 63.44 ± 1.40 71.96 ± 2.38 / 78.87 ± 1.66 9.3.2 9.3.2 9.3.2 12.5.2 9.3.2 9.3.2 9.3.2
robinsmits/Qwen1.5-7B-Dutch-Chat-Sft-Bf16 (few-shot) 7719 152 32768 False 2,413 ± 463 / 700 ± 220 1.88 67.52 ± 1.19 / 59.09 ± 2.64 63.10 ± 1.92 / 70.11 ± 0.80 37.75 ± 2.52 / 67.53 ± 1.75 64.88 ± 1.60 / 82.23 ± 0.72 68.45 ± 0.22 / 21.67 ± 0.52 47.66 ± 0.96 / 60.75 ± 0.72 63.35 ± 1.62 / 72.16 ± 1.31 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
cstr/Spaetzle-v8-7b (few-shot, val) 7242 32 32768 False 5,980 ± 1,031 / 1,714 ± 552 1.92 69.40 ± 1.47 / 54.63 ± 3.27 65.39 ± 2.32 / 73.11 ± 1.62 26.69 ± 3.88 / 62.82 ± 2.19 49.74 ± 2.61 / 75.27 ± 0.99 71.02 ± 0.71 / 25.90 ± 1.04 52.23 ± 1.23 / 63.71 ± 0.98 74.61 ± 2.55 / 80.66 ± 1.88 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 4,687 ± 1,121 / 967 ± 313 1.92 66.31 ± 2.09 / 58.68 ± 1.95 64.30 ± 0.65 / 69.26 ± 0.50 28.18 ± 3.96 / 58.97 ± 4.03 70.38 ± 3.51 / 82.95 ± 2.38 67.90 ± 0.49 / 21.54 ± 0.57 52.54 ± 0.88 / 64.26 ± 0.66 41.19 ± 4.40 / 54.78 ± 3.62 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 32768 True 2,657 ± 524 / 880 ± 278 1.93 63.40 ± 2.72 / 56.92 ± 2.17 68.17 ± 1.33 / 70.74 ± 0.93 30.92 ± 4.81 / 63.79 ± 4.42 73.45 ± 1.83 / 84.54 ± 1.42 69.11 ± 0.31 / 23.70 ± 0.53 47.74 ± 1.26 / 60.63 ± 0.97 34.96 ± 4.19 / 49.62 ± 3.28 9.1.2 9.1.2 9.1.2 12.5.1 11.0.0 9.2.0 9.2.0
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 1.93 70.62 ± 0.90 / 58.92 ± 2.15 67.78 ± 1.03 / 72.29 ± 0.47 30.99 ± 2.94 / 62.20 ± 2.56 49.56 ± 2.85 / 76.72 ± 1.15 70.76 ± 0.56 / 24.95 ± 1.03 44.11 ± 4.39 / 57.76 ± 3.36 69.20 ± 2.71 / 76.75 ± 2.06 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 1.94 64.09 ± 0.96 / 49.92 ± 2.47 46.77 ± 4.36 / 60.99 ± 2.15 31.62 ± 2.25 / 63.73 ± 1.79 71.25 ± 0.83 / 85.72 ± 0.57 69.54 ± 0.57 / 24.79 ± 0.89 57.66 ± 1.17 / 68.22 ± 0.88 72.26 ± 0.86 / 79.10 ± 0.64 12.9.1 12.9.1 12.9.1 12.9.1 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 1.96 61.02 ± 2.70 / 55.57 ± 2.50 67.10 ± 0.81 / 70.66 ± 0.76 29.82 ± 5.18 / 62.86 ± 4.72 73.50 ± 1.67 / 84.26 ± 1.30 69.02 ± 0.55 / 23.87 ± 0.72 47.13 ± 1.24 / 60.08 ± 0.92 35.88 ± 4.42 / 49.95 ± 3.87 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
01-ai/Yi-6B (few-shot) 6061 64 4096 True 6,435 ± 1,316 / 1,632 ± 549 1.97 52.70 ± 2.29 / 48.83 ± 2.24 68.66 ± 0.92 / 58.34 ± 0.37 25.29 ± 4.29 / 54.31 ± 5.45 75.89 ± 1.84 / 85.86 ± 1.03 64.51 ± 0.30 / 18.84 ± 0.32 50.89 ± 0.77 / 63.01 ± 0.60 68.29 ± 0.74 / 75.90 ± 0.62 9.3.2 10.0.0 10.0.0 12.5.1 12.0.0 10.0.1 10.0.1
occiglot/occiglot-7b-de-en-instruct (few-shot) 7242 32 32768 False 1,584 ± 217 / 635 ± 178 2.01 60.90 ± 3.17 / 53.69 ± 2.67 66.54 ± 1.42 / 69.26 ± 0.83 23.60 ± 3.72 / 57.65 ± 4.08 75.14 ± 1.51 / 87.25 ± 0.61 68.96 ± 0.53 / 25.60 ± 0.80 42.53 ± 0.85 / 56.25 ± 0.72 41.79 ± 3.18 / 54.82 ± 2.83 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 2.04 69.19 ± 2.03 / 55.64 ± 3.53 63.77 ± 2.55 / 71.13 ± 1.83 28.43 ± 3.97 / 62.28 ± 1.86 44.39 ± 2.68 / 71.79 ± 1.25 69.77 ± 0.76 / 24.60 ± 1.13 46.53 ± 2.54 / 59.53 ± 1.87 71.36 ± 3.95 / 78.36 ± 2.91 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
google/gemma-7b (few-shot) 8538 256 8320 True 1,378 ± 260 / 387 ± 119 2.05 47.20 ± 3.34 / 41.96 ± 3.12 63.88 ± 2.24 / 66.49 ± 0.81 35.75 ± 2.65 / 66.41 ± 2.26 69.40 ± 4.29 / 82.46 ± 2.86 69.25 ± 0.80 / 24.32 ± 0.95 50.57 ± 1.00 / 61.48 ± 0.80 35.79 ± 4.89 / 46.37 ± 3.67 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.9.1 12.10.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 2.12 55.45 ± 1.61 / 49.72 ± 1.27 60.55 ± 1.54 / 68.53 ± 0.71 28.60 ± 3.36 / 60.31 ± 4.06 70.49 ± 0.74 / 82.68 ± 0.52 68.67 ± 0.11 / 21.65 ± 0.21 39.82 ± 0.76 / 54.62 ± 0.57 51.82 ± 1.03 / 63.79 ± 0.79 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 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 2.12 59.10 ± 1.87 / 51.31 ± 1.87 68.41 ± 1.17 / 70.85 ± 0.74 25.43 ± 4.22 / 60.79 ± 3.45 71.89 ± 2.20 / 82.99 ± 1.78 67.99 ± 0.41 / 22.12 ± 0.52 44.09 ± 1.21 / 56.37 ± 0.96 32.29 ± 4.57 / 45.16 ± 4.28 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3 12.5.3
occiglot/occiglot-7b-de-en (few-shot) 7242 32 32768 True 1,992 ± 319 / 706 ± 211 2.13 56.07 ± 4.01 / 51.66 ± 3.99 65.29 ± 1.43 / 69.38 ± 0.73 25.78 ± 2.57 / 61.50 ± 2.24 73.13 ± 4.05 / 83.85 ± 2.69 68.76 ± 0.54 / 23.14 ± 0.51 41.47 ± 0.94 / 55.81 ± 0.77 32.75 ± 3.47 / 48.17 ± 2.83 12.3.2 12.3.1 12.3.1 12.3.1 12.3.1 12.3.1 12.3.1
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.14 57.58 ± 2.30 / 47.94 ± 2.89 61.44 ± 2.02 / 69.47 ± 0.98 34.92 ± 2.40 / 66.67 ± 1.41 65.38 ± 1.76 / 81.90 ± 0.57 69.62 ± 0.31 / 24.65 ± 0.44 38.40 ± 0.98 / 53.43 ± 0.76 35.72 ± 1.56 / 49.69 ± 1.42 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 2.16 58.56 ± 1.99 / 54.14 ± 2.01 59.62 ± 1.29 / 68.55 ± 0.56 28.55 ± 3.97 / 60.49 ± 4.25 70.04 ± 0.89 / 82.09 ± 0.84 67.27 ± 0.39 / 19.77 ± 0.31 38.68 ± 1.02 / 53.45 ± 0.74 47.47 ± 1.28 / 60.44 ± 1.02 12.5.2 10.0.1 12.1.0 12.5.2 12.1.0 12.1.0 12.1.0
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) unknown 32 4096 False 3,254 ± 1,068 / 484 ± 173 2.17 64.93 ± 2.24 / 57.95 ± 1.24 64.14 ± 1.61 / 68.00 ± 1.67 28.08 ± 3.86 / 62.71 ± 2.98 62.09 ± 1.68 / 79.57 ± 0.96 68.84 ± 0.52 / 24.99 ± 0.80 36.49 ± 0.82 / 52.02 ± 0.62 38.09 ± 2.61 / 52.60 ± 2.19 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
google/gemma-7b-it (few-shot) 8538 256 8445 False 1,792 ± 249 / 668 ± 203 2.21 66.70 ± 0.99 / 61.08 ± 1.16 55.62 ± 2.54 / 64.98 ± 2.03 31.36 ± 2.63 / 65.21 ± 1.16 72.58 ± 0.68 / 84.67 ± 0.91 67.24 ± 0.71 / 21.99 ± 0.99 35.27 ± 1.22 / 50.12 ± 0.94 32.54 ± 1.77 / 46.58 ± 1.66 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0 12.10.0
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) 7242 32 8192 True 6,113 ± 1,044 / 1,790 ± 579 2.22 56.38 ± 2.95 / 50.80 ± 2.82 66.04 ± 1.68 / 65.21 ± 1.48 22.15 ± 3.57 / 57.71 ± 4.24 71.32 ± 1.41 / 83.70 ± 0.93 68.13 ± 0.68 / 23.08 ± 0.59 35.47 ± 1.23 / 50.47 ± 0.94 29.25 ± 3.05 / 44.01 ± 2.75 12.5.2 12.5.0 12.5.0 12.5.0 12.5.0 12.5.0 12.5.0
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 2.22 56.90 ± 3.08 / 51.16 ± 2.56 62.10 ± 1.65 / 68.81 ± 0.76 20.17 ± 3.68 / 54.76 ± 4.24 75.29 ± 1.37 / 86.48 ± 0.72 69.63 ± 0.46 / 25.61 ± 0.45 38.48 ± 1.10 / 53.32 ± 0.83 27.67 ± 2.08 / 43.61 ± 2.08 12.5.2 12.2.0 12.3.1 12.4.0 12.4.0 12.3.1 12.3.1
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 2.23 62.11 ± 1.61 / 52.36 ± 2.00 59.91 ± 2.10 / 68.92 ± 1.21 30.66 ± 3.60 / 64.32 ± 2.03 58.27 ± 2.09 / 77.85 ± 0.70 69.75 ± 0.63 / 24.71 ± 0.72 34.93 ± 1.35 / 50.71 ± 1.00 44.91 ± 2.44 / 58.07 ± 1.93 9.3.1 9.2.0 9.3.1 12.4.0 12.4.0 9.3.2 9.3.2
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 2.32 62.53 ± 1.35 / 53.42 ± 2.04 62.23 ± 1.29 / 68.09 ± 1.34 22.71 ± 1.81 / 60.79 ± 1.08 64.45 ± 1.39 / 80.79 ± 0.79 69.95 ± 0.32 / 25.22 ± 0.33 30.47 ± 0.70 / 46.82 ± 0.55 30.18 ± 1.87 / 45.85 ± 1.98 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 2.36 55.37 ± 2.94 / 51.08 ± 2.87 63.32 ± 1.29 / 68.50 ± 0.53 18.92 ± 2.39 / 57.96 ± 1.89 72.38 ± 2.57 / 83.46 ± 1.49 68.61 ± 0.55 / 23.48 ± 0.74 37.04 ± 1.33 / 52.33 ± 1.02 23.54 ± 2.08 / 40.78 ± 1.59 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.2.0 12.2.0
microsoft/phi-2 (few-shot) 2780 51 2048 True 3,472 ± 885 / 728 ± 239 2.41 49.16 ± 3.09 / 43.10 ± 2.58 62.41 ± 1.51 / 67.24 ± 1.18 12.31 ± 2.96 / 48.73 ± 5.08 75.79 ± 1.88 / 86.40 ± 1.10 67.79 ± 0.51 / 23.29 ± 0.89 40.15 ± 1.11 / 54.65 ± 0.86 23.21 ± 2.87 / 39.96 ± 2.45 12.5.2 12.2.0 12.0.0 12.0.0 12.0.0 12.0.0 12.0.0
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 2.44 55.27 ± 2.79 / 50.25 ± 2.12 65.16 ± 1.21 / 66.86 ± 1.32 20.43 ± 3.69 / 55.98 ± 4.88 69.82 ± 2.49 / 81.43 ± 1.73 68.82 ± 0.54 / 23.58 ± 0.59 25.98 ± 0.90 / 42.52 ± 0.62 11.77 ± 1.81 / 31.25 ± 1.99 9.2.0 9.2.0 9.2.0 12.5.1 12.0.0 9.2.0 9.2.0
Rijgersberg/GEITje-7B (few-shot) 7242 32 32768 True 5,887 ± 1,087 / 1,600 ± 522 2.52 53.39 ± 2.97 / 47.76 ± 2.67 65.21 ± 1.35 / 65.73 ± 1.61 12.63 ± 2.60 / 50.10 ± 3.87 65.74 ± 2.31 / 77.95 ± 1.84 68.05 ± 0.54 / 24.11 ± 0.59 31.65 ± 1.00 / 47.19 ± 0.83 17.69 ± 2.71 / 35.94 ± 2.08 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 2.66 37.22 ± 3.24 / 34.07 ± 3.11 64.34 ± 1.18 / 62.90 ± 1.36 15.30 ± 1.17 / 55.67 ± 1.16 64.41 ± 1.29 / 75.79 ± 0.97 68.15 ± 0.13 / 22.11 ± 0.19 27.24 ± 1.14 / 44.95 ± 0.84 22.84 ± 1.16 / 41.75 ± 0.99 12.5.2 10.0.1 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 2.80 40.89 ± 2.63 / 37.44 ± 2.39 55.33 ± 1.77 / 64.53 ± 0.70 11.23 ± 1.81 / 52.85 ± 2.65 60.69 ± 1.44 / 74.24 ± 0.82 67.23 ± 0.14 / 18.87 ± 0.43 26.84 ± 0.41 / 44.86 ± 0.31 23.89 ± 1.20 / 42.78 ± 0.95 12.5.2 11.0.0 12.1.0 12.5.0 12.5.0 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) 20918 64 2048 True 1,831 ± 587 / 268 ± 90 2.82 39.21 ± 1.52 / 34.08 ± 1.88 65.58 ± 1.59 / 57.86 ± 1.13 7.82 ± 1.43 / 51.19 ± 1.75 72.25 ± 2.19 / 83.08 ± 1.30 64.07 ± 0.60 / 19.27 ± 0.54 14.98 ± 0.77 / 36.11 ± 0.75 13.55 ± 1.51 / 34.03 ± 1.55 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 2.95 19.65 ± 5.96 / 18.64 ± 5.49 62.14 ± 1.16 / 67.81 ± 0.65 8.30 ± 1.63 / 45.01 ± 3.82 66.30 ± 1.42 / 77.75 ± 0.63 66.51 ± 0.85 / 21.76 ± 0.84 20.38 ± 0.82 / 38.44 ± 0.70 7.41 ± 1.01 / 29.08 ± 0.61 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
VAGOsolutions/SauerkrautLM-Gemma-2b (few-shot) 2506 256 8192 False 3,607 ± 565 / 1,212 ± 349 2.97 23.28 ± 6.45 / 21.81 ± 5.61 61.91 ± 2.08 / 67.80 ± 1.12 6.92 ± 2.36 / 44.29 ± 3.87 64.68 ± 1.06 / 76.60 ± 0.51 65.15 ± 0.86 / 20.15 ± 0.50 22.65 ± 0.87 / 41.40 ± 0.67 14.54 ± 1.87 / 34.39 ± 1.49 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1 12.6.1
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 3.04 40.05 ± 2.56 / 33.77 ± 1.94 48.83 ± 1.00 / 60.88 ± 0.70 5.83 ± 1.52 / 50.74 ± 1.73 63.77 ± 1.40 / 76.59 ± 0.77 67.28 ± 0.27 / 22.84 ± 0.41 18.21 ± 0.70 / 37.61 ± 0.55 10.84 ± 1.23 / 31.84 ± 1.00 12.5.2 12.1.0 12.1.0 12.4.0 12.4.0 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 3.21 33.86 ± 2.16 / 32.80 ± 2.21 55.41 ± 2.17 / 54.48 ± 1.65 1.15 ± 1.81 / 34.47 ± 1.12 53.34 ± 1.21 / 64.09 ± 1.26 65.81 ± 1.90 / 20.88 ± 0.66 11.66 ± 1.13 / 32.84 ± 0.97 5.22 ± 1.17 / 27.95 ± 1.10 12.5.2 11.0.0 12.1.0 12.5.0 12.5.0 12.1.0 12.1.0
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 3.25 37.51 ± 1.56 / 33.24 ± 2.24 57.15 ± 2.35 / 52.82 ± 1.40 2.94 ± 2.00 / 44.53 ± 3.65 42.57 ± 1.97 / 55.17 ± 1.29 65.22 ± 0.29 / 19.22 ± 0.18 18.24 ± 1.14 / 37.15 ± 0.82 10.89 ± 1.01 / 32.65 ± 0.85 12.5.2 10.0.1 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
AI-Sweden-Models/gpt-sw3-20b (few-shot) 20918 64 2048 True 1,875 ± 673 / 261 ± 91 3.30 45.86 ± 3.18 / 40.23 ± 2.41 62.08 ± 3.29 / 55.11 ± 1.68 6.62 ± 2.43 / 48.79 ± 3.77 65.29 ± 1.81 / 77.71 ± 0.98 43.45 ± 7.12 / 15.14 ± 2.47 9.10 ± 1.33 / 30.31 ± 0.94 8.35 ± 0.79 / 29.79 ± 0.76 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1 9.3.1
LumiOpen/Viking-13B (few-shot) 14030 131 4352 True 3,530 ± 748 / 829 ± 277 3.33 47.70 ± 2.71 / 44.98 ± 2.69 51.87 ± 6.35 / 49.40 ± 3.66 0.14 ± 1.67 / 46.80 ± 2.63 50.83 ± 1.05 / 61.39 ± 1.03 63.14 ± 1.28 / 16.86 ± 0.76 2.16 ± 1.01 / 24.58 ± 0.54 0.17 ± 0.73 / 25.05 ± 0.35 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2 12.5.2
allenai/OLMo-7B (few-shot) 6888 50 2304 True 5,403 ± 1,133 / 1,294 ± 423 3.45 38.23 ± 3.10 / 36.38 ± 2.60 60.70 ± 1.80 / 66.82 ± 1.12 -0.19 ± 2.28 / 38.77 ± 3.32 61.93 ± 1.98 / 73.71 ± 1.57 51.32 ± 0.91 / 11.96 ± 0.57 5.00 ± 1.53 / 27.59 ± 1.14 1.10 ± 1.02 / 25.71 ± 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-7B-Twin-2T (few-shot) 6888 50 2304 True 5,484 ± 1,125 / 1,317 ± 425 3.66 25.36 ± 8.05 / 24.05 ± 7.34 56.91 ± 2.41 / 66.15 ± 1.54 7.10 ± 2.89 / 49.36 ± 4.03 58.60 ± 5.37 / 70.37 ± 4.71 46.16 ± 1.28 / 11.33 ± 0.70 0.71 ± 0.85 / 24.97 ± 0.62 0.82 ± 1.01 / 25.62 ± 0.74 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 2304 True 8,536 ± 1,926 / 1,940 ± 619 3.85 26.47 ± 6.25 / 28.27 ± 5.35 60.05 ± 3.94 / 56.18 ± 1.90 0.72 ± 1.90 / 42.84 ± 3.50 43.87 ± 2.49 / 55.59 ± 2.44 46.18 ± 1.20 / 10.06 ± 0.67 -0.87 ± 0.99 / 23.08 ± 0.63 0.20 ± 1.12 / 24.94 ± 0.86 12.5.2 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0 12.1.0
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) unknown 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.04 18.69 ± 7.23 / 18.50 ± 6.51 21.95 ± 6.30 / 33.38 ± 4.79 0.01 ± 1.91 / 39.40 ± 3.94 36.51 ± 2.07 / 50.66 ± 1.90 60.11 ± 1.39 / 16.29 ± 0.69 3.71 ± 0.75 / 28.35 ± 0.99 0.62 ± 0.99 / 24.68 ± 0.55 9.3.1 9.3.1 9.3.1 12.5.2 9.3.1 9.3.1 9.3.1
RJuro/kanelsnegl-v0.1 (few-shot) 7242 32 512 True 5,847 ± 1,029 / 1,640 ± 525 4.84 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 19.61 ± 0.22 0.41 ± 0.55 / 33.46 ± 0.37 0.00 ± 0.00 / 3.68 ± 0.43 61.26 ± 0.09 / 6.73 ± 0.06 0.00 ± 0.00 / 22.69 ± 0.63 0.36 ± 0.47 / 24.60 ± 0.43 9.3.1 9.3.1 9.3.1 12.5.1 9.3.1 9.3.1 9.3.1
ai-forever/mGPT (few-shot) unknown 100 1024 True 11,734 ± 3,124 / 2,174 ± 720 5.28 1.55 ± 1.98 / 1.45 ± 1.82 3.71 ± 3.16 / 22.09 ± 2.08 -0.42 ± 1.56 / 40.58 ± 3.74 5.58 ± 3.10 / 11.12 ± 4.66 34.62 ± 0.17 / 2.18 ± 0.04 0.37 ± 0.93 / 24.18 ± 0.90 -0.17 ± 0.50 / 24.82 ± 0.41 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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