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icelandic-nlg-test.md

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layout title
leaderboard
Icelandic NLG 🇮🇸
Last updated: 11/01/2025 11:03:33 CET
Include merged models
Model ID Parameters Vocabulary size Context Commercial Speed Rank MIM-GOLD-NER Hotter-and-Colder-sentiment ScaLA-is NQiI RRN ARC-is Winogrande-is MIM-GOLD-NER version Hotter-and-Colder-sentiment version ScaLA-is version NQiI version RRN version ARC-is version Winogrande-is version
gpt-4-1106-preview (few-shot, val) unknown 100 128000 True 576 ± 221 / 81 ± 28 1.14 86.37 ± 1.19 / 82.25 ± 2.73 49.59 ± 2.76 / 62.50 ± 2.08 43.03 ± 5.07 / 71.18 ± 2.64 37.26 ± 2.60 / 66.04 ± 1.95 69.61 ± 0.61 / 23.98 ± 1.17 89.09 ± 1.59 / 91.76 ± 1.19 72.03 ± 3.91 / 86.09 ± 1.96 12.5.1 13.2.0 12.10.2 12.5.1 12.5.1 12.10.8 12.10.2
gpt-4o-2024-05-13 (few-shot, val) unknown 200 128000 True 916 ± 329 / 114 ± 38 1.19 81.19 ± 2.45 / 54.02 ± 5.60 49.86 ± 5.14 / 64.51 ± 3.68 51.10 ± 5.09 / 73.25 ± 3.42 29.64 ± 2.12 / 55.46 ± 1.12 68.25 ± 0.27 / 19.22 ± 0.51 91.27 ± 1.41 / 93.40 ± 1.09 70.85 ± 5.98 / 85.55 ± 3.05 12.10.0 13.2.0 12.10.2 12.10.0 12.10.0 12.10.8 12.10.2
meta-llama/Llama-3.1-405B-Instruct-FP8 (few-shot) 405869 128 131072 True 799 ± 246 / 112 ± 38 1.76 66.40 ± 3.96 / 65.04 ± 4.36 53.84 ± 1.13 / 67.24 ± 1.23 26.22 ± 2.28 / 57.33 ± 2.21 26.49 ± 1.58 / 54.41 ± 1.48 69.88 ± 0.18 / 23.58 ± 0.58 77.37 ± 0.87 / 83.04 ± 0.66 59.56 ± 1.97 / 79.38 ± 1.05 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
gpt-4o-mini-2024-07-18 (few-shot, val) unknown 200 8191 True 784 ± 310 / 95 ± 28 1.86 64.69 ± 1.77 / 37.89 ± 3.23 56.18 ± 4.37 / 69.53 ± 2.97 45.52 ± 4.15 / 71.51 ± 2.48 15.80 ± 6.24 / 55.19 ± 4.14 67.06 ± 0.10 / 15.92 ± 0.24 82.10 ± 1.93 / 86.37 ± 1.50 42.82 ± 4.17 / 71.48 ± 2.40 14.0.0 14.0.0 14.0.0 14.0.0 14.0.1 14.0.1 14.0.1
gpt-4-1106-preview (zero-shot, val) unknown 100 8191 True 436 ± 152 / 57 ± 21 1.89 30.39 ± 3.49 / 25.88 ± 1.98 47.47 ± 3.03 / 63.45 ± 2.13 43.30 ± 3.41 / 71.54 ± 1.71 29.82 ± 1.09 / 51.48 ± 0.89 63.89 ± 0.21 / 13.99 ± 0.19 86.79 ± 1.30 / 90.12 ± 0.97 54.76 ± 4.75 / 77.97 ± 2.44 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
gpt-4o-2024-05-13 (zero-shot, val) unknown 200 8191 True 637 ± 306 / 92 ± 31 1.90 72.85 ± 2.10 / 33.36 ± 1.59 53.43 ± 2.20 / 66.07 ± 1.59 49.26 ± 4.89 / 73.99 ± 2.32 27.36 ± 0.94 / 48.73 ± 0.97 67.01 ± 0.08 / 15.62 ± 0.12 78.98 ± 1.73 / 83.91 ± 1.34 9.83 ± 4.86 / 60.62 ± 2.37 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
meta-llama/Llama-3.1-70B-Instruct (few-shot) 70554 128 131072 True 1,409 ± 457 / 186 ± 63 1.91 69.95 ± 2.18 / 42.88 ± 4.51 51.27 ± 1.19 / 63.66 ± 1.02 18.75 ± 1.65 / 55.50 ± 0.89 30.79 ± 1.22 / 56.29 ± 1.87 69.53 ± 0.17 / 23.61 ± 0.48 75.02 ± 0.81 / 81.25 ± 0.60 48.44 ± 2.47 / 74.68 ± 1.23 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
meta-llama/Llama-3.3-70B-Instruct (few-shot) 70554 128 131072 True 1,353 ± 443 / 180 ± 61 2.00 69.04 ± 1.73 / 41.91 ± 4.10 50.79 ± 1.13 / 62.68 ± 1.21 20.36 ± 1.78 / 55.23 ± 2.44 24.56 ± 1.12 / 49.35 ± 1.46 69.13 ± 0.22 / 21.75 ± 0.61 77.24 ± 1.01 / 82.95 ± 0.76 46.46 ± 2.66 / 72.82 ± 1.44 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
mgoin/Nemotron-4-340B-Instruct-hf-FP8 (few-shot) 341029 256 4096 True 1,904 ± 475 / 361 ± 121 2.10 37.98 ± 7.26 / 24.63 ± 3.82 47.34 ± 5.45 / 63.42 ± 4.34 50.14 ± 6.12 / 73.44 ± 4.16 16.27 ± 1.26 / 41.01 ± 2.32 63.40 ± 1.31 / 14.12 ± 0.78 79.94 ± 1.28 / 84.95 ± 0.97 44.61 ± 7.95 / 72.53 ± 3.86 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
Qwen/Qwen2.5-72B-Instruct (few-shot) 72706 152 32768 True 1,219 ± 412 / 158 ± 53 2.17 68.54 ± 1.33 / 42.62 ± 3.69 47.72 ± 1.58 / 64.00 ± 1.39 22.98 ± 1.57 / 61.08 ± 0.91 26.72 ± 1.78 / 55.63 ± 0.93 66.93 ± 0.10 / 17.14 ± 0.19 67.74 ± 1.27 / 75.78 ± 0.96 36.29 ± 2.04 / 68.27 ± 1.01 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot) 28411 256 4096 True 3,633 ± 1,236 / 777 ± 220 2.29 67.23 ± 2.77 / 45.61 ± 4.86 50.38 ± 1.18 / 66.21 ± 1.00 20.01 ± 1.09 / 59.74 ± 0.60 21.18 ± 1.67 / 49.26 ± 0.93 67.61 ± 0.15 / 19.31 ± 0.26 66.74 ± 1.30 / 75.07 ± 0.99 33.03 ± 1.47 / 66.80 ± 0.84 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
gpt-4o-mini-2024-07-18 (zero-shot, val) unknown 200 8191 True 908 ± 303 / 96 ± 36 2.29 31.11 ± 2.16 / 14.28 ± 0.85 50.02 ± 2.61 / 65.44 ± 1.86 35.85 ± 1.55 / 66.14 ± 0.82 26.93 ± 1.10 / 49.25 ± 1.18 66.48 ± 0.12 / 14.96 ± 0.13 72.80 ± 2.91 / 79.45 ± 2.24 28.63 ± 7.69 / 59.45 ± 3.75 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.3 14.0.3
Qwen/QwQ-32B-Preview (few-shot) 32764 152 32768 True 2,258 ± 1,221 / 198 ± 67 2.36 65.08 ± 2.06 / 46.62 ± 5.37 48.71 ± 1.27 / 63.98 ± 0.90 20.51 ± 2.32 / 57.54 ± 3.00 28.29 ± 1.69 / 58.94 ± 2.10 65.67 ± 0.28 / 16.58 ± 0.37 52.92 ± 1.20 / 64.22 ± 0.87 28.01 ± 3.54 / 64.15 ± 1.73 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
claude-3-5-sonnet-20241022 (zero-shot, val) unknown unknown 200000 True 193 ± 87 / 55 ± 19 2.46 61.70 ± 2.37 / 41.44 ± 1.76 51.24 ± 1.69 / 65.49 ± 1.06 52.43 ± 2.29 / 73.78 ± 1.09 22.92 ± 1.06 / 47.06 ± 1.02 66.02 ± 0.13 / 15.54 ± 0.10 15.97 ± 2.78 / 23.83 ± 1.74 5.31 ± 4.38 / 59.84 ± 2.96 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (few-shot) 70554 128 131072 True 1,208 ± 412 / 156 ± 53 2.61 54.15 ± 2.09 / 23.38 ± 1.16 51.96 ± 0.95 / 65.42 ± 0.94 19.63 ± 1.76 / 56.76 ± 1.54 21.22 ± 0.69 / 49.57 ± 0.98 43.26 ± 0.37 / 0.69 ± 0.28 73.61 ± 0.87 / 80.21 ± 0.66 45.29 ± 2.50 / 72.72 ± 1.35 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
CohereForAI/c4ai-command-r-08-2024 (few-shot) 32296 256 131072 False 1,909 ± 646 / 248 ± 84 2.88 62.68 ± 1.93 / 42.03 ± 4.30 31.96 ± 2.37 / 51.22 ± 2.00 11.81 ± 0.99 / 49.24 ± 2.30 30.49 ± 1.20 / 56.00 ± 1.68 66.24 ± 0.15 / 17.31 ± 0.46 21.10 ± 0.78 / 40.19 ± 0.62 9.34 ± 2.50 / 56.92 ± 0.95 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) 8030 128 8192 True 1,483 ± 377 / 287 ± 97 2.94 60.20 ± 2.76 / 40.38 ± 4.22 38.09 ± 2.38 / 54.51 ± 2.16 9.14 ± 0.98 / 49.56 ± 2.11 28.66 ± 1.28 / 58.93 ± 1.41 67.50 ± 0.21 / 18.61 ± 0.39 17.93 ± 1.69 / 38.38 ± 1.30 5.59 ± 1.88 / 54.19 ± 1.33 14.0.1 14.0.1 14.0.1 14.0.1 14.0.2 14.0.2 14.0.2
mistralai/Mixtral-8x7B-v0.1 (few-shot) 46703 32 32768 True 2,363 ± 794 / 311 ± 105 2.97 55.09 ± 2.15 / 38.38 ± 3.92 39.60 ± 2.22 / 53.52 ± 3.54 8.23 ± 1.55 / 49.15 ± 2.76 30.78 ± 2.39 / 58.02 ± 1.37 63.01 ± 1.21 / 16.91 ± 1.01 18.12 ± 1.51 / 38.37 ± 1.07 8.15 ± 2.10 / 56.08 ± 1.16 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
nvidia/mistral-nemo-minitron-8b-base (few-shot) 8414 131 8192 True 2,470 ± 836 / 326 ± 111 2.98 53.28 ± 3.54 / 39.35 ± 3.78 41.80 ± 1.57 / 59.81 ± 1.60 11.07 ± 2.40 / 51.96 ± 2.62 29.74 ± 1.76 / 56.76 ± 2.14 64.08 ± 0.66 / 16.06 ± 0.54 20.14 ± 1.34 / 39.67 ± 1.08 3.62 ± 2.53 / 53.63 ± 1.06 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1
meta-llama/Llama-3.1-8B-Instruct (few-shot) 8030 128 131072 True 1,473 ± 377 / 283 ± 96 2.99 46.48 ± 1.98 / 24.57 ± 1.73 39.91 ± 2.35 / 57.39 ± 1.64 11.72 ± 1.81 / 51.67 ± 1.45 25.91 ± 0.99 / 53.39 ± 1.83 67.67 ± 0.21 / 18.97 ± 0.43 25.83 ± 1.36 / 44.48 ± 1.05 6.40 ± 3.07 / 50.66 ± 1.69 14.0.1 14.0.1 14.0.1 14.0.1 14.0.1 14.0.2 14.0.2
meta-llama/Llama-3.1-8B (few-shot) 8030 128 131072 True 2,986 ± 823 / 276 ± 94 3.02 52.97 ± 1.54 / 38.17 ± 4.65 41.29 ± 2.30 / 59.30 ± 1.75 5.95 ± 2.81 / 40.86 ± 3.68 31.99 ± 2.60 / 60.26 ± 1.51 65.19 ± 0.73 / 17.47 ± 0.61 21.56 ± 1.35 / 40.99 ± 1.01 4.44 ± 1.77 / 54.52 ± 1.51 14.0.0 14.1.2 14.1.2 14.0.0 14.0.0 14.0.0 14.0.0
meta-llama/Meta-Llama-3-8B (few-shot) 8030 128 8192 True 1,477 ± 376 / 285 ± 97 3.07 50.45 ± 1.95 / 37.62 ± 3.95 34.68 ± 3.74 / 53.39 ± 3.75 8.69 ± 2.70 / 44.84 ± 4.03 31.94 ± 2.16 / 59.26 ± 1.50 65.22 ± 0.77 / 17.53 ± 0.72 19.93 ± 1.86 / 39.95 ± 1.39 4.52 ± 2.03 / 53.43 ± 2.36 14.0.1 14.1.2 14.1.2 14.0.1 14.0.1 14.0.2 14.0.2
mistralai/Ministral-8B-Instruct-2410 (few-shot) 8020 131 32768 True 1,302 ± 323 / 253 ± 86 3.23 47.10 ± 1.90 / 22.63 ± 2.03 24.43 ± 2.98 / 39.27 ± 3.37 7.19 ± 2.76 / 44.62 ± 3.61 28.73 ± 1.45 / 54.38 ± 2.28 66.62 ± 0.16 / 17.04 ± 0.23 21.98 ± 1.25 / 40.56 ± 1.07 0.10 ± 2.39 / 55.15 ± 1.19 14.0.0 14.0.0 14.0.0 14.0.0 14.0.1 14.0.1 14.0.1
NbAiLab/nb-llama-3.1-70B (few-shot) 70554 128 131072 True 1,220 ± 411 / 158 ± 53 3.33 62.28 ± 1.43 / 53.70 ± 3.40 38.08 ± 3.91 / 47.69 ± 4.81 2.85 ± 1.20 / 39.44 ± 3.92 0.86 ± 0.23 / 40.54 ± 1.57 57.60 ± 0.77 / 12.58 ± 0.52 48.56 ± 3.66 / 61.33 ± 2.75 16.74 ± 2.86 / 56.38 ± 1.94 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
NorwAI/NorwAI-Mixtral-8x7B-instruct (few-shot) 46998 68 32768 True 9,015 ± 2,966 / 1,121 ± 510 3.33 41.84 ± 3.14 / 24.97 ± 2.44 38.12 ± 1.81 / 54.60 ± 1.56 7.47 ± 1.59 / 45.34 ± 4.68 20.87 ± 2.65 / 52.61 ± 1.29 65.24 ± 0.58 / 19.34 ± 0.51 13.41 ± 2.29 / 35.09 ± 1.66 3.94 ± 2.09 / 50.90 ± 1.51 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
mistralai/Mixtral-8x7B-Instruct-v0.1 (few-shot) 46703 32 32768 True 5,535 ± 1,837 / 760 ± 256 3.36 35.00 ± 3.16 / 20.45 ± 2.42 23.93 ± 4.28 / 46.14 ± 3.72 9.69 ± 1.44 / 52.07 ± 1.78 21.38 ± 2.08 / 53.35 ± 1.40 64.69 ± 0.39 / 14.44 ± 0.78 17.73 ± 1.70 / 38.30 ± 1.29 9.06 ± 2.52 / 54.02 ± 1.58 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
CohereForAI/c4ai-command-r-v01 (few-shot) 34981 256 8192 False 1,919 ± 645 / 248 ± 83 3.39 42.29 ± 2.87 / 27.16 ± 2.06 38.87 ± 2.06 / 54.76 ± 1.96 0.28 ± 1.28 / 44.15 ± 2.34 18.74 ± 3.19 / 49.89 ± 1.52 66.07 ± 0.16 / 17.33 ± 0.39 10.93 ± 1.17 / 33.27 ± 0.89 4.44 ± 3.37 / 53.49 ± 1.46 14.0.4 14.0.4 14.0.4 14.0.4 14.1.1 14.1.1 14.1.1
mhenrichsen/hestenettetLM (few-shot) 7242 32 4096 True 1,151 ± 294 / 227 ± 76 3.43 50.99 ± 3.49 / 41.71 ± 4.09 24.17 ± 5.04 / 45.19 ± 5.13 1.15 ± 1.86 / 38.83 ± 2.36 27.31 ± 2.99 / 51.45 ± 2.09 56.73 ± 2.99 / 13.21 ± 1.46 8.81 ± 1.12 / 31.68 ± 0.83 3.23 ± 1.68 / 56.53 ± 0.94 14.0.3 14.1.2 14.1.2 14.0.3 14.0.3 14.0.3 14.0.3
NorwAI/NorwAI-Mixtral-8x7B (few-shot) 46998 68 32768 True 2,368 ± 793 / 317 ± 108 3.45 36.73 ± 4.50 / 27.29 ± 1.83 34.34 ± 3.99 / 53.29 ± 3.80 6.57 ± 2.18 / 46.35 ± 4.24 22.59 ± 4.98 / 48.68 ± 4.19 58.69 ± 2.45 / 14.60 ± 1.15 12.07 ± 1.85 / 33.86 ± 1.36 2.87 ± 1.72 / 52.79 ± 1.13 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
mistralai/Mistral-7B-v0.1 (few-shot) 7242 32 4096 True 1,446 ± 354 / 295 ± 100 3.45 50.69 ± 3.67 / 41.90 ± 4.06 24.38 ± 5.21 / 44.65 ± 5.83 1.46 ± 1.66 / 38.73 ± 2.27 27.11 ± 3.11 / 51.14 ± 2.22 56.76 ± 2.97 / 13.19 ± 1.46 8.71 ± 0.95 / 31.51 ± 0.81 3.21 ± 2.55 / 56.74 ± 1.01 14.0.3 14.1.2 14.1.2 14.0.3 14.0.3 14.0.3 14.0.3
senseable/WestLake-7B-v2 (few-shot) 7242 32 32768 False 5,993 ± 1,028 / 1,742 ± 561 3.48 56.71 ± 1.98 / 46.71 ± 5.28 7.92 ± 3.63 / 32.79 ± 2.05 3.44 ± 2.02 / 50.18 ± 1.14 21.55 ± 2.79 / 54.79 ± 2.02 65.39 ± 0.80 / 18.24 ± 1.00 9.11 ± 0.92 / 32.06 ± 0.70 3.30 ± 2.81 / 44.40 ± 1.61 12.6.1 13.3.0 12.6.1 12.6.1 12.6.1 12.10.8 12.6.1
Nexusflow/Starling-LM-7B-beta (few-shot) 7242 32 4096 False 4,136 ± 1,282 / 668 ± 326 3.54 42.23 ± 4.22 / 25.96 ± 4.27 27.93 ± 2.80 / 48.93 ± 1.43 6.38 ± 0.99 / 49.63 ± 1.47 19.39 ± 3.38 / 53.87 ± 1.59 61.92 ± 1.25 / 15.31 ± 1.05 4.22 ± 0.83 / 28.35 ± 0.70 0.31 ± 2.64 / 54.29 ± 1.30 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
mistralai/Mistral-7B-v0.3 (few-shot) 7248 33 32768 True 1,364 ± 343 / 266 ± 90 3.54 46.73 ± 3.51 / 38.01 ± 4.18 26.28 ± 4.82 / 46.42 ± 4.24 1.50 ± 1.18 / 36.24 ± 1.65 25.17 ± 3.82 / 50.14 ± 2.43 55.71 ± 3.49 / 12.57 ± 1.70 7.21 ± 1.17 / 30.37 ± 0.97 2.09 ± 2.31 / 55.37 ± 1.42 14.0.3 14.1.2 14.1.2 14.0.3 14.0.3 14.0.3 14.0.3
CohereForAI/aya-expanse-8b (few-shot) 8028 256 8192 False 2,686 ± 685 / 491 ± 164 3.55 28.98 ± 2.63 / 21.75 ± 1.89 19.83 ± 4.76 / 41.64 ± 3.64 4.93 ± 1.06 / 49.69 ± 2.65 24.72 ± 2.22 / 54.41 ± 1.43 63.45 ± 1.92 / 16.81 ± 2.23 10.97 ± 1.13 / 33.51 ± 0.81 4.23 ± 1.80 / 49.31 ± 0.84 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-3.2-3B (few-shot) 3213 128 131073 True 3,713 ± 877 / 836 ± 267 3.57 42.04 ± 3.53 / 25.31 ± 1.59 14.53 ± 4.72 / 32.88 ± 5.49 0.00 ± 0.00 / 32.97 ± 0.29 24.07 ± 4.63 / 49.31 ± 4.59 61.80 ± 2.80 / 14.50 ± 2.00 13.79 ± 1.55 / 35.23 ± 1.26 0.25 ± 2.45 / 48.10 ± 1.67 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
occiglot/occiglot-7b-eu5-instruct (few-shot) 7242 32 32768 False 2,088 ± 352 / 706 ± 214 3.61 40.71 ± 2.93 / 34.57 ± 4.02 14.70 ± 7.78 / 36.09 ± 6.06 0.71 ± 2.00 / 36.90 ± 2.10 20.66 ± 3.67 / 45.91 ± 3.45 65.25 ± 0.97 / 19.09 ± 1.05 5.35 ± 1.32 / 28.11 ± 1.13 0.35 ± 2.49 / 51.16 ± 2.74 12.5.2 13.3.0 12.3.1 12.4.0 12.4.0 12.10.8 12.3.1
claude-3-5-haiku-20241022 (zero-shot, val) unknown unknown 200000 True 277 ± 77 / 70 ± 25 3.63 34.99 ± 2.03 / 17.39 ± 1.24 31.19 ± 1.29 / 43.32 ± 1.05 -10.68 ± 2.75 / 33.95 ± 1.08 23.65 ± 1.16 / 46.35 ± 1.25 66.12 ± 0.10 / 15.71 ± 0.20 9.00 ± 1.46 / 20.47 ± 1.01 0.00 ± 0.00 / 59.30 ± 3.13 14.0.3 14.0.2 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) 7111 64 2048 True 1,473 ± 493 / 448 ± 143 3.65 19.41 ± 1.02 / 18.58 ± 0.98 44.79 ± 1.30 / 61.83 ± 1.22 1.93 ± 1.59 / 35.05 ± 1.59 21.13 ± 3.56 / 52.41 ± 1.47 61.90 ± 0.85 / 16.43 ± 0.33 4.05 ± 1.09 / 28.19 ± 0.81 -2.29 ± 4.88 / 52.60 ± 2.17 14.0.2 14.0.2 14.0.2 14.0.2 14.0.2 14.0.3 14.0.3
nvidia/mistral-nemo-minitron-8b-instruct (few-shot) 8414 131 8192 True 3,161 ± 676 / 1,247 ± 481 3.67 43.65 ± 4.03 / 26.17 ± 3.16 10.70 ± 1.95 / 32.23 ± 2.92 10.77 ± 1.76 / 53.53 ± 1.49 0.29 ± 0.07 / 29.69 ± 2.78 65.26 ± 0.16 / 14.88 ± 0.16 23.45 ± 1.23 / 42.71 ± 0.91 8.35 ± 2.49 / 54.73 ± 1.16 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1 14.1.1
occiglot/occiglot-7b-eu5 (few-shot) 7242 32 32768 True 2,219 ± 427 / 717 ± 224 3.67 40.08 ± 2.82 / 37.15 ± 4.07 16.23 ± 4.59 / 35.37 ± 4.49 1.59 ± 1.86 / 39.93 ± 4.19 15.98 ± 3.74 / 39.67 ± 3.36 62.55 ± 3.03 / 15.26 ± 2.31 5.98 ± 1.66 / 28.18 ± 1.30 -0.51 ± 1.95 / 47.23 ± 2.39 12.5.2 14.1.2 12.1.0 12.1.0 12.1.0 12.10.8 12.2.0
ibm-granite/granite-3.0-8b-instruct (few-shot) 8171 49 4096 True 1,118 ± 302 / 184 ± 63 3.68 42.67 ± 3.13 / 35.40 ± 3.93 9.95 ± 3.78 / 30.20 ± 5.91 1.11 ± 1.45 / 34.61 ± 0.82 22.25 ± 2.78 / 49.58 ± 2.19 63.81 ± 1.05 / 16.07 ± 1.19 5.12 ± 1.20 / 27.91 ± 0.90 0.89 ± 2.37 / 53.27 ± 1.64 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
LumiOpen/Viking-7B (few-shot) 7550 131 4096 True 1,431 ± 352 / 287 ± 97 3.71 33.21 ± 3.20 / 25.94 ± 2.59 25.50 ± 6.42 / 38.95 ± 8.69 -0.08 ± 1.20 / 39.03 ± 2.81 25.76 ± 3.16 / 48.38 ± 2.42 56.52 ± 1.61 / 10.46 ± 0.85 0.81 ± 1.83 / 26.69 ± 0.79 -3.96 ± 2.24 / 49.77 ± 3.10 14.0.3 14.1.2 14.1.2 14.0.3 14.0.3 14.0.3 14.0.3
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) 7242 32 32768 False 634 ± 179 / 110 ± 35 3.71 36.04 ± 2.59 / 24.74 ± 2.79 12.93 ± 5.42 / 30.40 ± 3.15 -0.36 ± 1.36 / 33.94 ± 0.32 18.06 ± 3.16 / 42.57 ± 2.89 62.80 ± 1.69 / 15.23 ± 1.01 5.44 ± 1.14 / 28.13 ± 1.06 6.35 ± 2.71 / 50.49 ± 1.57 9.3.1 13.3.0 9.3.1 12.4.0 12.4.0 12.10.8 12.1.0
utter-project/EuroLLM-9B-Instruct (few-shot) 9152 128 4096 False 1,483 ± 321 / 379 ± 158 3.71 24.92 ± 3.54 / 23.09 ± 3.30 9.76 ± 7.16 / 26.68 ± 6.80 0.15 ± 0.29 / 33.01 ± 0.31 28.18 ± 1.51 / 54.08 ± 0.71 64.67 ± 1.48 / 18.74 ± 1.31 11.10 ± 0.78 / 33.53 ± 0.69 0.89 ± 1.86 / 51.27 ± 1.18 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
ibm-granite/granite-8b-code-base-4k (few-shot) 8055 49 4096 True 2,313 ± 423 / 682 ± 210 3.72 50.89 ± 2.90 / 35.75 ± 4.67 9.52 ± 4.25 / 29.57 ± 4.96 0.50 ± 0.94 / 33.77 ± 0.30 17.43 ± 3.38 / 41.32 ± 3.18 59.94 ± 2.87 / 12.62 ± 1.91 5.52 ± 1.26 / 28.97 ± 0.97 1.73 ± 2.31 / 50.89 ± 3.35 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) 7242 32 32768 True 5,054 ± 1,200 / 1,056 ± 339 3.72 36.47 ± 4.24 / 30.33 ± 3.70 1.84 ± 3.02 / 23.26 ± 3.53 2.54 ± 1.29 / 50.66 ± 0.62 18.66 ± 4.26 / 38.73 ± 3.66 63.68 ± 1.75 / 16.38 ± 1.24 5.12 ± 1.30 / 28.85 ± 0.99 8.30 ± 1.28 / 57.35 ± 0.75 12.5.3 14.1.2 12.5.3 12.5.3 12.5.3 12.10.8 12.5.3
MaLA-LM/emma-500-llama2-7b (few-shot) 6738 32 4096 True 6,275 ± 1,193 / 1,755 ± 578 3.73 31.81 ± 1.93 / 29.47 ± 2.02 18.33 ± 5.09 / 30.21 ± 5.80 3.63 ± 1.69 / 44.49 ± 3.89 16.72 ± 7.29 / 46.83 ± 5.93 58.72 ± 3.28 / 13.71 ± 1.35 12.62 ± 1.36 / 34.51 ± 1.27 3.43 ± 2.18 / 44.56 ± 1.09 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
01-ai/Yi-1.5-6B (few-shot) 6061 64 4097 True 2,867 ± 550 / 793 ± 253 3.75 38.15 ± 2.30 / 28.10 ± 4.65 5.32 ± 3.81 / 29.01 ± 5.16 0.98 ± 1.44 / 35.86 ± 1.12 20.39 ± 3.04 / 44.20 ± 2.72 61.23 ± 2.31 / 14.45 ± 1.79 7.59 ± 1.44 / 31.07 ± 1.05 3.44 ± 2.28 / 46.89 ± 1.02 13.0.0 14.1.2 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 4096 True 2,515 ± 625 / 476 ± 159 3.76 37.82 ± 3.63 / 32.97 ± 3.97 -0.29 ± 1.16 / 15.66 ± 0.37 -0.12 ± 1.31 / 33.78 ± 0.32 21.59 ± 2.22 / 47.09 ± 1.09 62.35 ± 3.34 / 16.15 ± 1.66 6.54 ± 1.30 / 28.63 ± 1.24 1.83 ± 3.53 / 49.23 ± 2.07 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
meta-llama/Llama-2-7b-chat-hf (few-shot) 6738 32 4096 False 2,643 ± 455 / 800 ± 247 3.77 41.10 ± 3.35 / 40.54 ± 3.19 13.59 ± 6.27 / 36.87 ± 4.51 -1.07 ± 2.09 / 44.83 ± 2.20 16.13 ± 2.52 / 39.51 ± 1.98 62.30 ± 0.90 / 13.28 ± 1.36 3.16 ± 0.79 / 27.40 ± 0.79 1.84 ± 2.19 / 43.79 ± 0.73 9.3.1 13.3.0 9.3.1 12.4.0 12.4.0 12.10.8 12.1.0
google/gemma-2-2b-it (few-shot) 2614 256 8193 True 5,374 ± 1,233 / 1,193 ± 377 3.78 14.79 ± 4.70 / 13.03 ± 2.92 15.24 ± 6.48 / 34.96 ± 6.66 1.10 ± 1.54 / 34.67 ± 0.87 25.42 ± 1.09 / 51.72 ± 1.28 62.67 ± 1.62 / 16.91 ± 1.38 10.76 ± 1.56 / 32.34 ± 1.02 -5.20 ± 1.82 / 53.08 ± 0.91 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) 7242 32 32768 False 2,370 ± 416 / 711 ± 242 3.78 34.80 ± 1.37 / 24.03 ± 2.32 17.64 ± 3.40 / 40.55 ± 3.17 5.46 ± 1.31 / 51.42 ± 1.10 12.66 ± 2.33 / 45.06 ± 2.27 61.79 ± 0.68 / 8.78 ± 1.49 2.88 ± 0.65 / 26.40 ± 0.51 -1.11 ± 3.79 / 53.57 ± 2.07 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3 14.0.3
meta-llama/Llama-3.2-3B-Instruct (few-shot) 3213 128 131073 False 10,424 ± 2,641 / 2,081 ± 666 3.79 27.57 ± 1.71 / 22.52 ± 1.18 10.07 ± 5.45 / 28.32 ± 4.30 -1.39 ± 1.30 / 34.40 ± 1.96 22.98 ± 2.48 / 50.74 ± 1.59 62.00 ± 1.89 / 14.40 ± 1.93 13.33 ± 1.23 / 35.42 ± 0.93 0.74 ± 1.09 / 50.92 ± 0.73 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
CohereForAI/aya-23-8B (few-shot) 8028 256 8192 False 2,707 ± 688 / 497 ± 166 3.80 47.16 ± 2.83 / 38.60 ± 4.04 0.33 ± 0.93 / 15.64 ± 1.01 3.84 ± 1.27 / 40.06 ± 3.79 21.75 ± 2.21 / 48.25 ± 2.02 59.16 ± 2.91 / 14.91 ± 1.85 3.70 ± 1.01 / 27.71 ± 0.66 -3.24 ± 3.16 / 49.96 ± 2.38 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
microsoft/Phi-3-mini-128k-instruct (few-shot) 3821 32 131072 True 7,312 ± 1,668 / 1,609 ± 525 3.82 27.22 ± 3.65 / 24.21 ± 2.67 17.80 ± 4.22 / 36.50 ± 4.92 1.31 ± 1.28 / 39.67 ± 4.39 17.24 ± 2.72 / 41.15 ± 1.57 62.00 ± 1.66 / 15.80 ± 1.12 1.85 ± 1.18 / 26.88 ± 0.86 1.06 ± 2.84 / 47.19 ± 2.14 12.9.1 13.3.0 12.9.1 12.9.1 12.10.0 12.10.8 12.10.0
microsoft/Phi-3-mini-4k-instruct (few-shot) 3821 32 4096 True 8,681 ± 1,650 / 2,177 ± 717 3.82 33.05 ± 4.29 / 29.75 ± 3.67 14.42 ± 3.18 / 37.82 ± 2.65 0.71 ± 1.18 / 34.80 ± 0.88 17.23 ± 2.51 / 39.88 ± 1.59 60.08 ± 1.45 / 13.80 ± 0.81 2.67 ± 1.35 / 27.04 ± 1.07 2.74 ± 2.28 / 53.18 ± 0.93 12.10.5 13.3.0 12.10.5 12.10.5 12.10.5 12.10.8 12.10.5
HPLT/gpt-7b-nordic-prerelease (few-shot) 7550 131 4096 True 1,382 ± 337 / 257 ± 91 3.84 29.67 ± 3.72 / 27.17 ± 3.34 26.31 ± 7.12 / 39.72 ± 8.86 -0.03 ± 1.37 / 36.71 ± 1.69 21.77 ± 2.71 / 44.31 ± 1.72 52.52 ± 1.06 / 8.43 ± 0.54 0.09 ± 1.89 / 23.25 ± 0.85 -0.74 ± 2.25 / 54.29 ± 1.70 14.0.3 14.1.2 14.1.2 14.0.3 14.0.3 14.0.3 14.0.3
meta-llama/Llama-2-7b-hf (few-shot) 6738 32 4096 True 930 ± 310 / 128 ± 43 3.85 32.71 ± 2.77 / 32.17 ± 2.13 13.24 ± 8.29 / 31.92 ± 6.23 0.66 ± 1.75 / 40.36 ± 4.19 18.04 ± 4.05 / 41.40 ± 3.27 60.73 ± 3.02 / 14.02 ± 1.57 3.65 ± 1.33 / 26.91 ± 1.00 -0.00 ± 2.41 / 44.93 ± 0.92 9.2.0 13.3.0 9.2.0 12.5.1 11.0.0 12.10.8 12.1.0
norallm/normistral-7b-warm-instruct (few-shot) 7248 33 4096 True 6,194 ± 949 / 1,967 ± 619 3.85 36.59 ± 3.56 / 27.50 ± 2.53 11.75 ± 4.91 / 34.26 ± 5.32 0.86 ± 2.41 / 36.44 ± 1.27 14.58 ± 2.13 / 37.44 ± 1.86 61.99 ± 1.16 / 15.07 ± 0.81 1.48 ± 1.63 / 23.23 ± 0.93 -0.98 ± 2.63 / 56.13 ± 0.62 12.7.0 13.3.0 12.7.0 12.7.0 12.7.0 12.10.8 12.7.0
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) 6738 32 4096 False 5,384 ± 879 / 1,746 ± 553 3.87 34.62 ± 4.64 / 33.25 ± 4.37 12.72 ± 4.04 / 28.92 ± 4.48 -0.24 ± 1.43 / 33.75 ± 0.31 18.10 ± 1.85 / 43.52 ± 0.87 61.81 ± 0.98 / 15.04 ± 0.70 3.06 ± 1.01 / 28.01 ± 0.86 -1.90 ± 2.28 / 44.34 ± 1.19 12.5.2 14.1.2 12.3.2 12.3.2 12.3.2 12.10.8 12.3.2
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) 8030 128 131072 True 2,996 ± 817 / 284 ± 96 3.87 22.23 ± 2.11 / 22.77 ± 2.37 21.46 ± 6.37 / 35.83 ± 5.28 0.10 ± 0.51 / 33.23 ± 0.41 23.34 ± 2.39 / 45.64 ± 1.96 51.47 ± 3.70 / 10.97 ± 1.31 6.43 ± 1.33 / 29.48 ± 1.16 1.43 ± 2.24 / 56.48 ± 0.99 14.0.3 14.1.2 14.1.2 14.0.3 14.0.3 14.0.3 14.0.3
tollefj/nordavind-7b-instruct-warm (few-shot) 7248 33 2048 False 6,450 ± 961 / 2,082 ± 658 3.88 34.76 ± 4.42 / 23.42 ± 2.33 12.07 ± 3.53 / 32.35 ± 5.40 0.77 ± 1.05 / 39.63 ± 2.41 12.80 ± 2.37 / 30.77 ± 2.12 61.23 ± 1.78 / 15.53 ± 0.95 2.01 ± 0.96 / 25.83 ± 1.02 -0.76 ± 3.69 / 53.64 ± 2.57 12.5.2 13.3.0 12.3.2 12.4.0 12.4.0 12.10.8 12.3.2
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) 471 64 2048 True 5,855 ± 1,373 / 1,223 ± 391 3.91 17.79 ± 1.18 / 18.12 ± 1.18 21.09 ± 4.78 / 36.73 ± 5.45 0.08 ± 0.15 / 33.73 ± 0.26 15.04 ± 2.53 / 34.77 ± 1.72 59.45 ± 1.99 / 12.89 ± 1.04 1.06 ± 1.26 / 22.59 ± 0.63 5.69 ± 2.26 / 56.71 ± 0.87 12.7.0 13.3.0 12.7.0 12.7.0 12.7.0 12.10.8 12.7.0
meta-llama/Llama-3.2-1B-Instruct (few-shot) 1236 128 131073 False 7,436 ± 1,846 / 1,508 ± 479 3.92 33.76 ± 3.44 / 32.21 ± 2.82 6.91 ± 4.60 / 27.56 ± 4.17 -0.13 ± 1.34 / 42.66 ± 3.62 12.43 ± 2.62 / 33.38 ± 1.39 59.46 ± 2.42 / 13.23 ± 1.87 2.09 ± 1.34 / 25.68 ± 0.67 3.56 ± 2.07 / 56.72 ± 0.99 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
google/gemma-2-2b (few-shot) 2614 256 8193 True 5,235 ± 1,226 / 1,154 ± 366 3.93 10.67 ± 5.23 / 13.01 ± 3.26 12.86 ± 6.56 / 28.74 ± 6.46 -0.21 ± 0.99 / 33.71 ± 0.28 20.22 ± 3.01 / 43.48 ± 2.32 59.97 ± 2.49 / 13.32 ± 2.03 10.08 ± 1.82 / 32.08 ± 1.37 1.16 ± 2.48 / 51.00 ± 1.70 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) 1711 49 8192 True 15,971 ± 3,654 / 3,609 ± 1,197 3.98 26.23 ± 3.53 / 23.26 ± 2.30 6.86 ± 5.25 / 23.96 ± 4.13 2.69 ± 1.42 / 45.61 ± 2.69 10.84 ± 2.59 / 28.57 ± 2.09 60.43 ± 2.70 / 15.28 ± 1.36 1.93 ± 1.38 / 25.06 ± 1.16 3.27 ± 2.97 / 54.02 ± 1.79 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
Qwen/Qwen1.5-4B-Chat (few-shot) 3950 152 32768 False 4,347 ± 893 / 1,135 ± 365 3.98 25.65 ± 2.99 / 22.30 ± 2.30 7.56 ± 4.87 / 26.07 ± 4.12 -0.35 ± 2.01 / 44.36 ± 4.13 14.46 ± 2.66 / 32.31 ± 1.66 62.11 ± 2.22 / 14.98 ± 1.53 4.50 ± 1.47 / 28.86 ± 1.09 -1.89 ± 2.66 / 43.72 ± 0.92 12.5.2 13.3.0 12.1.0 12.5.2 12.1.0 12.10.8 12.1.0
ibm-granite/granite-3.0-2b-instruct (few-shot) 2634 49 4097 True 10,194 ± 2,403 / 2,193 ± 731 3.98 30.21 ± 4.29 / 29.79 ± 3.81 5.88 ± 2.95 / 21.46 ± 3.02 3.67 ± 1.87 / 48.02 ± 3.06 15.12 ± 1.65 / 40.55 ± 1.13 56.75 ± 2.25 / 10.37 ± 1.58 3.22 ± 0.92 / 27.64 ± 0.84 1.88 ± 2.37 / 49.26 ± 1.60 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) 3374 49 4096 True 10,246 ± 3,021 / 1,629 ± 550 4.03 23.14 ± 2.08 / 23.09 ± 2.24 5.07 ± 2.69 / 27.01 ± 2.31 0.18 ± 1.67 / 33.93 ± 0.34 14.15 ± 2.49 / 36.10 ± 1.65 60.80 ± 0.81 / 10.79 ± 1.85 2.86 ± 1.31 / 26.61 ± 1.04 -1.31 ± 2.24 / 50.29 ± 1.93 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3b-code-base-2k (few-shot) 3483 49 2048 True 2,732 ± 868 / 662 ± 238 4.03 38.52 ± 3.25 / 28.84 ± 5.49 4.29 ± 3.60 / 23.24 ± 4.11 0.00 ± 0.00 / 33.69 ± 0.28 12.94 ± 2.60 / 36.06 ± 2.17 58.58 ± 4.00 / 12.91 ± 2.09 2.11 ± 1.02 / 27.80 ± 1.02 -4.75 ± 2.84 / 50.40 ± 4.21 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-8b-code-instruct-4k (few-shot) 8055 49 4096 True 5,617 ± 995 / 1,623 ± 540 4.03 43.20 ± 3.61 / 32.10 ± 3.76 2.54 ± 2.60 / 17.05 ± 2.70 0.00 ± 0.00 / 33.69 ± 0.28 14.28 ± 2.94 / 38.21 ± 2.38 49.66 ± 3.28 / 7.97 ± 1.43 3.07 ± 1.66 / 25.74 ± 1.09 2.79 ± 3.13 / 47.97 ± 1.43 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ibm-granite/granite-3.0-2b-base (few-shot) 2534 49 4097 True 10,187 ± 2,363 / 2,204 ± 737 4.04 29.51 ± 2.44 / 29.14 ± 2.34 1.70 ± 2.98 / 16.77 ± 2.07 -0.32 ± 0.63 / 33.70 ± 0.28 12.36 ± 2.12 / 34.06 ± 1.47 59.43 ± 1.83 / 13.09 ± 1.58 2.35 ± 1.26 / 27.85 ± 0.87 0.01 ± 2.73 / 45.18 ± 1.36 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
openGPT-X/Teuken-7B-instruct-research-v0.4 (few-shot) 7453 251 4096 False 1,254 ± 328 / 243 ± 83 4.04 28.74 ± 2.37 / 19.43 ± 1.48 4.30 ± 1.28 / 19.35 ± 2.86 0.06 ± 1.39 / 34.20 ± 1.30 17.41 ± 2.45 / 45.55 ± 1.65 60.79 ± 0.72 / 13.13 ± 0.60 0.18 ± 1.16 / 23.06 ± 0.66 -1.64 ± 2.16 / 53.50 ± 2.67 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) 1445 64 2048 True 4,608 ± 988 / 1,115 ± 354 4.05 1.42 ± 1.60 / 3.11 ± 1.85 4.18 ± 2.03 / 17.89 ± 1.60 0.75 ± 0.73 / 45.87 ± 2.20 23.33 ± 2.22 / 45.28 ± 1.58 64.23 ± 1.78 / 15.08 ± 2.03 0.40 ± 1.88 / 23.35 ± 1.22 0.68 ± 4.15 / 50.85 ± 2.65 12.7.0 14.1.2 12.7.0 12.7.0 12.7.0 12.10.8 12.7.0
openGPT-X/Teuken-7B-instruct-commercial-v0.4 (few-shot) 7453 251 4096 True 1,438 ± 410 / 233 ± 79 4.05 26.58 ± 1.47 / 22.13 ± 2.38 -0.79 ± 2.98 / 26.06 ± 1.66 0.63 ± 1.36 / 43.80 ± 3.59 15.14 ± 2.49 / 44.23 ± 2.12 60.84 ± 0.65 / 13.75 ± 0.70 1.17 ± 1.56 / 23.34 ± 1.03 -0.12 ± 2.10 / 54.54 ± 1.79 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4 14.0.4
google/gemma-2b (few-shot) 2506 256 8192 True 6,087 ± 1,046 / 1,902 ± 563 4.07 8.83 ± 5.85 / 9.93 ± 4.70 10.08 ± 5.54 / 31.35 ± 3.02 0.31 ± 1.95 / 45.42 ± 3.51 16.08 ± 2.91 / 37.41 ± 2.44 60.00 ± 2.62 / 13.07 ± 1.31 2.52 ± 1.20 / 26.23 ± 1.40 0.00 ± 2.53 / 56.42 ± 0.98 12.5.2 14.1.2 12.1.0 12.1.0 12.1.0 12.10.8 12.1.0
HuggingFaceTB/SmolLM2-1.7B (few-shot) 1711 49 8192 True 16,249 ± 3,690 / 3,689 ± 1,226 4.12 20.50 ± 4.51 / 18.93 ± 3.84 10.09 ± 3.91 / 29.11 ± 2.96 0.83 ± 1.65 / 45.84 ± 2.02 10.84 ± 2.45 / 28.36 ± 1.48 57.52 ± 4.61 / 13.43 ± 2.11 3.16 ± 0.85 / 26.13 ± 0.67 -1.83 ± 3.11 / 49.80 ± 1.96 13.1.0 14.1.2 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
Qwen/Qwen1.5-4B (few-shot) 3950 152 32768 True 3,248 ± 739 / 761 ± 252 4.13 15.66 ± 5.89 / 15.78 ± 3.95 9.17 ± 4.79 / 31.18 ± 2.72 -0.55 ± 1.06 / 39.57 ± 3.61 14.11 ± 3.08 / 34.56 ± 2.38 57.17 ± 3.07 / 11.73 ± 1.00 5.46 ± 1.45 / 29.23 ± 1.11 -1.71 ± 3.79 / 50.88 ± 1.29 12.5.2 14.1.2 12.1.0 12.1.0 12.1.0 12.10.8 12.1.0
ibm-granite/granite-3.0-3b-a800m-base (few-shot) 3374 49 4096 True 10,504 ± 3,028 / 1,678 ± 559 4.20 18.07 ± 3.62 / 18.73 ± 2.54 0.65 ± 3.12 / 18.97 ± 1.86 -0.72 ± 1.22 / 33.96 ± 0.50 12.27 ± 2.81 / 30.66 ± 1.47 56.49 ± 3.33 / 8.77 ± 1.24 0.32 ± 1.35 / 24.82 ± 1.04 1.00 ± 2.57 / 51.21 ± 2.91 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
Qwen/Qwen1.5-1.8B-Chat (few-shot) 1837 152 32768 False 8,304 ± 1,846 / 1,933 ± 617 4.21 14.15 ± 1.92 / 14.96 ± 2.11 6.87 ± 6.27 / 28.55 ± 3.29 0.78 ± 1.70 / 44.74 ± 3.57 7.80 ± 1.32 / 23.47 ± 1.64 57.27 ± 1.42 / 10.43 ± 0.97 1.62 ± 1.18 / 25.09 ± 1.06 1.92 ± 2.32 / 50.07 ± 2.68 12.5.2 13.3.0 12.1.0 12.5.0 12.5.0 12.10.8 12.1.0
google/gemma-2b-it (few-shot) 2506 256 8192 False 6,471 ± 1,142 / 1,961 ± 584 4.21 20.49 ± 2.30 / 18.33 ± 1.40 -0.75 ± 1.97 / 22.91 ± 2.76 -0.01 ± 2.13 / 46.02 ± 2.71 10.95 ± 2.39 / 37.64 ± 0.75 59.16 ± 0.96 / 9.92 ± 1.05 0.45 ± 1.44 / 22.94 ± 0.76 0.62 ± 1.42 / 56.02 ± 0.95 12.5.2 14.1.2 12.1.0 12.4.0 12.4.0 12.10.8 12.1.0
meta-llama/Llama-3.2-1B (few-shot) 1236 128 131073 True 7,577 ± 1,884 / 1,555 ± 492 4.22 17.77 ± 6.81 / 16.42 ± 6.19 7.64 ± 4.41 / 25.58 ± 4.40 -0.35 ± 1.50 / 34.29 ± 1.64 8.15 ± 2.21 / 30.75 ± 2.05 54.21 ± 3.27 / 11.06 ± 1.56 0.71 ± 1.34 / 25.40 ± 0.83 2.88 ± 1.84 / 54.45 ± 2.60 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
utter-project/EuroLLM-1.7B-Instruct (few-shot) 1657 128 4096 True 15,009 ± 4,072 / 2,702 ± 878 4.22 13.29 ± 2.33 / 14.72 ± 2.11 6.83 ± 5.62 / 31.41 ± 4.70 0.92 ± 1.51 / 42.09 ± 3.39 7.49 ± 1.26 / 24.16 ± 1.95 56.76 ± 2.66 / 9.80 ± 1.05 0.59 ± 0.49 / 23.09 ± 0.56 1.87 ± 3.67 / 49.58 ± 3.20 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
PleIAs/Pleias-1.2b-Preview (few-shot) 1195 66 2048 True 10,756 ± 3,589 / 1,157 ± 670 4.24 22.56 ± 3.90 / 22.69 ± 3.50 0.53 ± 2.22 / 20.28 ± 1.55 -0.26 ± 0.43 / 33.59 ± 1.01 11.77 ± 1.87 / 31.39 ± 2.24 53.36 ± 3.05 / 8.87 ± 1.05 0.36 ± 1.59 / 23.64 ± 0.76 0.24 ± 3.00 / 55.12 ± 1.24 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.0.4
PleIAs/Pleias-3b-Preview (few-shot) 3212 66 4096 True 6,513 ± 1,241 / 1,282 ± 644 4.24 18.86 ± 5.30 / 18.63 ± 4.20 -0.67 ± 2.61 / 21.03 ± 3.38 -0.76 ± 0.76 / 33.16 ± 0.37 8.09 ± 1.59 / 26.19 ± 2.53 60.61 ± 1.18 / 12.59 ± 0.80 -0.78 ± 1.21 / 22.85 ± 1.06 -0.84 ± 2.04 / 56.38 ± 1.01 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.0.4
ibm-granite/granite-7b-instruct (few-shot) 6738 32 4096 True 3,136 ± 558 / 942 ± 290 4.24 19.07 ± 1.70 / 20.43 ± 1.80 -0.51 ± 3.34 / 18.63 ± 3.02 0.99 ± 1.27 / 39.24 ± 3.43 9.54 ± 0.94 / 25.84 ± 1.85 59.42 ± 0.72 / 10.23 ± 1.25 0.79 ± 1.16 / 24.04 ± 0.75 -3.20 ± 3.60 / 51.52 ± 1.92 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0
ibm-granite/granite-3b-code-instruct-2k (few-shot) 3483 49 2048 True 9,059 ± 1,947 / 2,201 ± 728 4.25 33.57 ± 2.48 / 33.47 ± 2.48 0.60 ± 2.01 / 16.42 ± 1.16 0.00 ± 0.00 / 33.69 ± 0.28 11.27 ± 2.38 / 33.54 ± 1.64 49.32 ± 3.71 / 8.01 ± 2.04 1.37 ± 1.11 / 25.57 ± 1.36 -4.04 ± 3.58 / 50.55 ± 3.65 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) 7242 32 32768 False 5,172 ± 813 / 1,647 ± 518 4.26 24.98 ± 5.71 / 25.35 ± 4.78 13.57 ± 4.68 / 28.38 ± 5.14 1.18 ± 1.09 / 39.01 ± 2.76 8.52 ± 2.30 / 21.32 ± 2.25 39.94 ± 9.39 / 5.18 ± 1.53 4.83 ± 1.40 / 29.14 ± 1.10 4.70 ± 2.96 / 56.56 ± 0.97 12.5.2 13.3.0 12.3.2 12.3.2 12.3.2 12.10.8 12.3.2
PleIAs/Pleias-Nano (few-shot) 1195 66 2048 True 2,519 ± 841 / 323 ± 104 4.30 9.90 ± 5.26 / 15.24 ± 2.90 2.13 ± 2.07 / 21.55 ± 2.63 0.02 ± 1.43 / 34.31 ± 2.24 10.64 ± 2.56 / 31.31 ± 1.47 54.83 ± 2.32 / 11.29 ± 0.66 -0.56 ± 1.92 / 23.31 ± 1.19 1.21 ± 2.27 / 53.67 ± 2.22 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.0.4
ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) 1335 49 4096 True 7,964 ± 2,255 / 1,299 ± 433 4.31 17.74 ± 3.49 / 16.16 ± 1.89 3.84 ± 4.22 / 27.14 ± 5.28 -1.13 ± 1.09 / 44.10 ± 3.57 7.74 ± 1.43 / 24.78 ± 1.48 58.60 ± 1.15 / 10.95 ± 1.08 -1.11 ± 1.33 / 22.73 ± 0.90 -4.23 ± 3.18 / 51.91 ± 2.86 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0
Qwen/Qwen1.5-0.5B (few-shot) 620 152 32768 True 11,371 ± 2,924 / 2,122 ± 692 4.36 16.20 ± 1.52 / 16.96 ± 1.71 0.10 ± 1.78 / 18.76 ± 2.62 -0.57 ± 1.20 / 41.25 ± 3.51 3.31 ± 0.82 / 16.86 ± 2.98 56.00 ± 3.13 / 10.05 ± 0.73 1.96 ± 1.72 / 25.55 ± 1.37 0.85 ± 1.91 / 52.12 ± 2.92 12.5.2 14.1.2 12.1.0 12.1.0 12.1.0 12.10.8 12.1.0
tiiuae/Falcon3-1B-Instruct (few-shot) 1669 131 8192 True 9,270 ± 2,690 / 1,434 ± 437 4.36 9.39 ± 3.31 / 9.28 ± 3.38 6.44 ± 2.00 / 22.24 ± 3.62 -0.72 ± 1.67 / 43.21 ± 3.74 3.34 ± 0.98 / 21.41 ± 2.93 59.37 ± 0.99 / 11.96 ± 0.51 -1.22 ± 0.96 / 23.83 ± 1.00 4.20 ± 2.70 / 53.16 ± 2.28 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2 14.1.2
Qwen/Qwen1.5-0.5B-Chat (few-shot) 620 152 32768 False 11,740 ± 3,000 / 2,209 ± 721 4.37 9.50 ± 3.17 / 9.41 ± 3.40 1.63 ± 1.45 / 19.19 ± 0.27 1.76 ± 1.62 / 38.51 ± 3.72 3.14 ± 0.71 / 17.84 ± 2.26 58.92 ± 1.57 / 10.09 ± 1.41 -1.28 ± 1.48 / 24.82 ± 0.92 1.48 ± 3.56 / 53.95 ± 2.45 12.5.2 13.3.0 12.1.0 12.5.0 12.5.0 12.10.8 12.1.0
ibm-granite/granite-3.0-1b-a400m-base (few-shot) 1385 49 4096 True 7,808 ± 2,183 / 1,289 ± 428 4.38 5.62 ± 3.01 / 8.37 ± 2.88 4.82 ± 4.50 / 22.80 ± 5.16 -0.20 ± 0.76 / 33.73 ± 0.26 4.94 ± 1.33 / 18.58 ± 2.50 58.01 ± 2.21 / 10.21 ± 1.25 0.78 ± 1.22 / 22.17 ± 0.62 -2.14 ± 2.71 / 51.91 ± 3.81 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0 13.2.0
HuggingFaceTB/SmolLM2-360M (few-shot) 362 49 8192 True 22,023 ± 6,203 / 3,675 ± 1,231 4.39 13.43 ± 1.36 / 13.81 ± 1.45 3.82 ± 2.09 / 24.09 ± 2.81 1.14 ± 1.52 / 36.93 ± 3.69 3.71 ± 1.14 / 16.21 ± 2.86 51.93 ± 3.96 / 8.48 ± 0.87 0.95 ± 1.48 / 22.52 ± 1.05 2.90 ± 2.91 / 56.72 ± 0.69 13.1.0 14.1.2 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 4.41 14.74 ± 2.42 / 16.01 ± 2.04 3.13 ± 3.12 / 22.51 ± 2.62 -0.25 ± 0.60 / 34.69 ± 3.02 1.35 ± 0.73 / 10.92 ± 2.52 52.66 ± 3.89 / 8.73 ± 0.71 1.21 ± 0.80 / 26.20 ± 1.03 1.69 ± 2.26 / 49.46 ± 3.56 13.1.0 14.1.2 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
PleIAs/Pleias-350m-Preview (few-shot) 353 66 2048 True 10,242 ± 3,432 / 1,335 ± 484 4.42 17.73 ± 1.58 / 18.22 ± 1.53 2.38 ± 2.00 / 21.79 ± 2.03 -0.18 ± 1.21 / 37.94 ± 4.17 1.59 ± 0.83 / 12.57 ± 3.10 52.81 ± 2.78 / 8.12 ± 0.57 0.89 ± 1.75 / 25.64 ± 1.59 -1.11 ± 3.80 / 55.19 ± 1.68 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.0.4
Qwen/Qwen1.5-1.8B (few-shot) 1837 152 32768 True 5,666 ± 1,328 / 1,256 ± 408 4.42 12.26 ± 4.13 / 12.77 ± 3.60 -9.69 ± 4.92 / 18.53 ± 1.70 0.94 ± 1.34 / 40.66 ± 3.73 6.31 ± 1.01 / 20.24 ± 2.02 55.32 ± 3.49 / 8.91 ± 1.05 3.65 ± 1.45 / 26.36 ± 0.92 1.13 ± 3.74 / 52.30 ± 2.26 12.5.2 14.1.2 12.1.0 12.1.0 12.1.0 12.10.8 12.1.0
RJuro/kanelsnegl-v0.2 (few-shot) 7242 32 512 True 1,373 ± 120 / 709 ± 172 4.42 23.67 ± 5.16 / 23.19 ± 4.37 7.76 ± 3.65 / 29.49 ± 4.31 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 14.61 ± 2.02 50.54 ± 0.14 / 3.11 ± 0.06 0.00 ± 0.00 / 22.04 ± 0.48 0.00 ± 0.00 / 56.52 ± 0.89 12.7.0 14.1.2 12.7.0 12.7.0 12.7.0 12.10.8 12.7.0
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) 362 49 8192 True 21,777 ± 6,115 / 3,617 ± 1,211 4.43 13.60 ± 1.50 / 13.99 ± 1.39 3.12 ± 4.92 / 27.55 ± 4.21 0.28 ± 1.41 / 37.58 ± 4.34 4.09 ± 1.03 / 16.34 ± 2.86 50.00 ± 3.22 / 7.84 ± 0.71 -0.11 ± 0.95 / 22.28 ± 0.83 2.51 ± 3.01 / 51.41 ± 3.27 13.1.0 13.3.0 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 32769 True 2,722 ± 495 / 766 ± 250 4.45 18.38 ± 1.54 / 20.76 ± 1.34 -1.70 ± 2.31 / 21.85 ± 2.75 0.49 ± 1.54 / 42.54 ± 4.23 6.30 ± 2.23 / 23.24 ± 0.99 51.62 ± 2.09 / 8.63 ± 0.96 2.25 ± 1.26 / 26.07 ± 1.15 -6.17 ± 1.44 / 52.90 ± 2.42 13.0.0 13.3.0 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) 6738 32 4096 False 10,890 ± 2,686 / 2,186 ± 750 4.49 9.48 ± 1.48 / 10.10 ± 1.44 3.32 ± 3.76 / 21.42 ± 3.52 0.07 ± 1.06 / 43.54 ± 3.63 1.04 ± 0.96 / 7.35 ± 3.52 55.16 ± 1.26 / 10.52 ± 1.13 -0.80 ± 2.00 / 23.89 ± 0.86 -0.16 ± 0.86 / 32.02 ± 2.77 9.3.1 13.3.0 9.3.1 12.5.2 12.4.0 12.10.8 12.1.0
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) 135 49 8192 True 25,602 ± 7,583 / 3,953 ± 1,325 4.52 13.70 ± 2.05 / 15.01 ± 2.07 3.01 ± 2.55 / 22.58 ± 2.22 -0.83 ± 0.71 / 32.99 ± 0.27 0.94 ± 0.54 / 10.22 ± 2.52 50.30 ± 4.32 / 7.82 ± 0.77 1.10 ± 1.16 / 25.43 ± 1.07 -0.07 ± 3.01 / 46.28 ± 3.42 13.1.0 13.3.0 13.1.0 13.1.0 13.1.0 13.1.0 13.1.0
PleIAs/Pleias-Pico (few-shot) 353 66 2048 True 2,331 ± 787 / 301 ± 97 4.60 13.80 ± 3.19 / 14.46 ± 3.19 2.17 ± 2.73 / 22.31 ± 3.55 -0.63 ± 0.78 / 36.66 ± 3.41 1.29 ± 0.69 / 10.96 ± 2.80 43.40 ± 4.76 / 4.83 ± 1.49 1.16 ± 0.83 / 25.72 ± 0.93 1.21 ± 4.89 / 55.31 ± 1.38 14.0.4 14.1.2 14.1.2 14.0.4 14.0.4 14.0.4 14.0.4
NorGLM/NorGPT-369M (few-shot) unknown 64 2048 True 19,896 ± 5,099 / 3,848 ± 1,251 4.71 1.68 ± 1.40 / 1.54 ± 1.28 2.78 ± 2.87 / 22.52 ± 3.50 -1.38 ± 1.13 / 34.41 ± 2.16 0.08 ± 0.09 / 10.05 ± 2.08 44.02 ± 1.31 / 6.35 ± 0.43 0.15 ± 1.45 / 23.95 ± 1.29 0.28 ± 1.39 / 32.09 ± 2.15 12.5.2 14.1.2 12.5.2 12.5.2 12.5.2 12.10.8 12.5.2
Sigurdur/icebreaker (few-shot) 110 32 1024 False 48,619 ± 7,681 / 13,831 ± 4,404 4.74 0.00 ± 0.00 / 0.00 ± 0.00 2.31 ± 2.42 / 20.87 ± 2.00 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 3.90 ± 0.28 44.80 ± 0.65 / 3.34 ± 0.08 0.23 ± 0.75 / 22.11 ± 0.48 0.38 ± 0.75 / 56.53 ± 0.89 12.5.2 14.1.2 12.5.2 12.5.2 12.5.2 12.10.8 12.5.2
Sigurdur/icechat (few-shot) 110 32 1024 False 49,558 ± 7,930 / 13,921 ± 4,425 4.79 0.00 ± 0.00 / 0.00 ± 0.00 1.86 ± 2.32 / 23.48 ± 4.78 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.64 ± 0.34 42.46 ± 0.47 / 3.58 ± 0.45 0.00 ± 0.00 / 22.04 ± 0.48 0.00 ± 0.00 / 56.52 ± 0.89 12.5.2 14.1.2 12.5.2 12.5.2 12.5.2 12.10.8 12.5.2
ssmits/Falcon2-5.5B-multilingual (few-shot) 5465 65 8192 True 7,692 ± 1,423 / 1,960 ± 644 4.91 0.00 ± 0.00 / 0.00 ± 0.00 -1.30 ± 1.45 / 18.79 ± 0.29 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.02 ± 0.01 36.58 ± 2.96 / 0.16 ± 0.02 -0.00 ± 1.73 / 24.71 ± 1.42 0.00 ± 0.00 / 43.48 ± 0.89 13.0.0 14.1.2 13.0.0 13.0.0 13.0.0 13.0.0 13.0.0
ai-forever/mGPT (few-shot) unknown 100 2048 True 11,734 ± 3,124 / 2,174 ± 720 5.15 0.00 ± 0.00 / 0.00 ± 0.00 2.54 ± 2.23 / 21.79 ± 2.35 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.05 ± 0.03 17.11 ± 1.37 / 0.96 ± 0.09 -0.02 ± 1.16 / 22.75 ± 0.50 0.47 ± 4.14 / 46.93 ± 3.13 9.3.1 14.1.2 11.0.0 12.5.1 12.0.0 12.10.8 12.1.0
Sigurdur/jonas-hallgrimsson-gpt2 (few-shot) 125 51 512 False 32,644 ± 3,887 / 11,289 ± 3,585 5.43 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 18.81 ± 0.27 0.00 ± 0.00 / 33.69 ± 0.28 0.00 ± 0.00 / 0.00 ± 0.00 0.00 ± 0.00 / 0.00 ± 0.00 -0.26 ± 0.90 / 22.02 ± 0.48 -0.01 ± 1.21 / 55.08 ± 0.99 12.5.2 14.1.2 12.5.2 12.5.2 12.5.2 12.10.8 12.5.2
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