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leaderboard |
Swedish NLG 🇸🇪 |
Include merged models
Model ID | Parameters | Vocabulary size | Context | Commercial | Speed | Rank | SUC3 | SweReC | ScaLA-sv | ScandiQA-sv | SweDN | MMLU-sv | HellaSwag-sv | SUC3 version | SweReC version | ScaLA-sv version | ScandiQA-sv version | SweDN version | MMLU-sv version | HellaSwag-sv version |
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gpt-4-0613 (few-shot, val) | unknown | 100 | 8191 | True | 597 ± 197 / 93 ± 33 | 1.19 | 76.86 ± 1.89 / 54.97 ± 4.44 | 79.19 ± 1.87 / 80.56 ± 1.82 | 80.93 ± 1.67 / 89.90 ± 0.93 | 53.81 ± 1.28 / 65.15 ± 1.11 | 67.83 ± 0.15 / 22.67 ± 0.39 | 72.53 ± 1.82 / 79.26 ± 1.44 | 85.67 ± 2.59 / 89.14 ± 2.05 | 0.0.0 | 0.0.0 | 0.0.0 | 12.9.0 | 9.3.2 | 9.3.2 | 9.3.2 |
gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 1.27 | 76.66 ± 2.11 / 60.34 ± 4.71 | 77.16 ± 2.65 / 79.22 ± 2.36 | 68.99 ± 4.33 / 83.37 ± 2.61 | 57.96 ± 1.35 / 67.71 ± 0.96 | 66.00 ± 0.29 / 16.97 ± 0.45 | 70.70 ± 1.32 / 77.97 ± 0.99 | 86.30 ± 2.23 / 89.65 ± 1.68 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 | 12.10.0 | 12.10.2 | 12.10.2 |
gpt-4-1106-preview (few-shot, val) | unknown | 100 | 128000 | True | 576 ± 221 / 81 ± 28 | 1.28 | 74.45 ± 3.09 / 49.97 ± 4.23 | 77.59 ± 1.38 / 78.78 ± 1.69 | 71.35 ± 3.10 / 83.98 ± 2.23 | 56.56 ± 1.39 / 66.76 ± 1.10 | 66.08 ± 0.14 / 17.19 ± 0.38 | 71.32 ± 1.56 / 78.48 ± 1.15 | 84.09 ± 2.99 / 88.01 ± 2.26 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 | 12.10.0 | 12.10.2 | 12.10.2 |
AI-Sweden-Models/Llama-3-8B-instruct (few-shot) | 8030 | 128 | 8192 | False | 4,314 ± 1,202 / 776 ± 245 | 1.42 | 88.78 ± 1.05 / 85.30 ± 1.16 | 81.73 ± 0.71 / 80.87 ± 0.96 | 75.83 ± 0.49 / 87.67 ± 0.30 | 61.35 ± 0.70 / 65.90 ± 0.55 | 66.96 ± 0.09 / 23.17 ± 0.18 | 41.07 ± 0.83 / 55.49 ± 0.64 | 75.73 ± 0.72 / 81.68 ± 0.55 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
meta-llama/Meta-Llama-3-70B (few-shot, val) | 70554 | 128 | 8192 | True | 312 ± 55 / 177 ± 51 | 1.48 | 74.61 ± 2.99 / 56.50 ± 6.30 | 78.61 ± 1.40 / 78.64 ± 1.53 | 63.20 ± 3.34 / 80.61 ± 2.52 | 61.98 ± 1.65 / 66.85 ± 1.42 | 67.60 ± 0.41 / 22.47 ± 0.82 | 61.55 ± 1.68 / 71.02 ± 1.21 | 66.21 ± 3.22 / 73.40 ± 2.77 | 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 | 8193 | True | 1,516 ± 257 / 480 ± 148 | 1.66 | 62.59 ± 2.04 / 45.11 ± 4.50 | 80.73 ± 0.52 / 81.25 ± 0.57 | 61.37 ± 2.06 / 79.34 ± 1.59 | 58.76 ± 1.03 / 66.73 ± 0.59 | 65.54 ± 0.91 / 19.89 ± 0.36 | 58.15 ± 1.11 / 68.33 ± 0.83 | 68.94 ± 1.51 / 76.41 ± 1.17 | 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 | 8193 | True | 2,062 ± 397 / 589 ± 178 | 1.82 | 52.50 ± 1.02 / 37.38 ± 2.57 | 78.51 ± 0.93 / 76.24 ± 1.64 | 61.28 ± 1.63 / 80.07 ± 1.22 | 55.22 ± 1.03 / 64.60 ± 0.52 | 66.30 ± 0.12 / 19.72 ± 0.19 | 51.58 ± 0.83 / 63.27 ± 0.62 | 66.61 ± 1.12 / 74.72 ± 0.93 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
152334H/miqu-1-70b-sf (few-shot, val) | 68977 | 32 | 32764 | True | 2,126 ± 676 / 319 ± 104 | 1.86 | 62.96 ± 3.44 / 52.14 ± 4.04 | 75.25 ± 2.41 / 78.80 ± 1.96 | 53.28 ± 3.33 / 75.37 ± 1.80 | 56.42 ± 1.65 / 65.04 ± 1.17 | 67.60 ± 0.30 / 21.60 ± 0.76 | 53.56 ± 2.20 / 64.88 ± 1.66 | 59.70 ± 4.69 / 69.38 ± 3.70 | 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-3-70B-Instruct (few-shot, val) | 70554 | 128 | 8192 | True | 1,673 ± 583 / 275 ± 85 | 1.89 | 77.06 ± 2.72 / 67.75 ± 5.69 | 53.56 ± 7.15 / 67.07 ± 3.93 | 47.50 ± 3.37 / 71.31 ± 2.69 | 46.86 ± 1.77 / 60.96 ± 1.04 | 68.25 ± 0.18 / 22.84 ± 0.44 | 61.31 ± 2.07 / 70.78 ± 1.60 | 66.73 ± 2.34 / 74.65 ± 1.78 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
gpt-3.5-turbo-0613 (few-shot, val) | unknown | 100 | 4095 | True | 921 ± 293 / 113 ± 37 | 1.93 | 73.04 ± 2.74 / 61.64 ± 3.63 | 72.77 ± 2.64 / 72.56 ± 2.45 | 58.06 ± 3.84 / 76.06 ± 2.51 | 58.02 ± 2.11 / 66.84 ± 1.38 | 66.92 ± 0.16 / 19.00 ± 0.28 | 40.73 ± 3.36 / 55.16 ± 2.75 | 50.51 ± 2.33 / 62.07 ± 1.95 | 0.0.0 | 0.0.0 | 0.0.0 | 12.9.0 | 11.0.0 | 0.0.0 | 0.0.0 |
meta-llama/Llama-2-70b-hf (few-shot, val) | 68977 | 32 | 4096 | True | 1,892 ± 650 / 318 ± 105 | 1.93 | 64.76 ± 3.91 / 61.08 ± 5.41 | 75.46 ± 1.99 / 74.35 ± 3.70 | 43.27 ± 5.03 / 65.62 ± 4.94 | 63.04 ± 1.52 / 66.95 ± 1.31 | 68.43 ± 0.33 / 24.92 ± 0.74 | 46.16 ± 2.67 / 59.53 ± 2.04 | 50.41 ± 5.18 / 62.34 ± 3.86 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
four-two-labs/lynx-micro (few-shot) | 2506 | 256 | 8192 | False | 10,162 ± 2,661 / 1,878 ± 623 | 1.95 | 83.64 ± 1.90 / 81.69 ± 1.52 | 78.57 ± 0.78 / 78.35 ± 0.90 | 66.83 ± 0.98 / 83.20 ± 0.51 | 58.84 ± 0.54 / 62.97 ± 0.52 | 64.40 ± 0.05 / 18.09 ± 0.11 | 20.47 ± 0.72 / 40.39 ± 0.55 | 49.92 ± 0.92 / 62.45 ± 0.69 | 12.10.2 | 12.10.2 | 12.10.2 | 12.10.2 | 12.10.2 | 12.10.2 | 12.10.2 |
google/gemma-2-9b (few-shot) | 9242 | 256 | 8193 | True | 2,038 ± 406 / 566 ± 172 | 1.99 | 50.43 ± 3.97 / 27.20 ± 3.14 | 80.55 ± 1.46 / 77.22 ± 3.78 | 50.86 ± 3.91 / 72.14 ± 3.98 | 59.35 ± 1.16 / 65.35 ± 0.87 | 65.63 ± 0.26 / 19.75 ± 0.45 | 52.06 ± 0.97 / 63.92 ± 0.72 | 49.80 ± 3.86 / 60.88 ± 3.42 | 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 | 128000 | True | 1,171 ± 378 / 120 ± 39 | 2.09 | 67.38 ± 1.52 / 52.86 ± 4.83 | 65.51 ± 4.81 / 67.01 ± 3.84 | 29.41 ± 10.34 / 52.38 ± 8.76 | 55.67 ± 0.89 / 66.26 ± 0.48 | 65.70 ± 0.71 / 16.98 ± 0.75 | 50.06 ± 2.65 / 61.33 ± 2.36 | 64.58 ± 2.48 / 72.57 ± 2.06 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 |
timpal0l/sol (few-shot) | 10732 | 32 | 4096 | False | 3,701 ± 876 / 771 ± 247 | 2.15 | 57.51 ± 2.30 / 37.74 ± 3.15 | 77.31 ± 1.01 / 70.55 ± 2.26 | 25.06 ± 5.02 / 49.04 ± 4.68 | 60.16 ± 1.77 / 67.43 ± 1.02 | 65.22 ± 0.19 / 18.86 ± 0.30 | 39.52 ± 0.58 / 54.47 ± 0.38 | 70.93 ± 1.29 / 78.03 ± 1.01 | 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 | 2.19 | 59.65 ± 2.22 / 39.33 ± 3.33 | 77.48 ± 1.23 / 70.13 ± 2.81 | 16.94 ± 2.36 / 40.98 ± 1.82 | 62.65 ± 0.56 / 68.15 ± 0.56 | 65.19 ± 0.36 / 19.09 ± 0.55 | 39.82 ± 0.69 / 54.84 ± 0.53 | 68.87 ± 1.35 / 76.46 ± 1.04 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 |
mistralai/Ministral-8B-Instruct-2410 (few-shot) | 8020 | 131 | 32768 | True | 5,821 ± 1,090 / 1,561 ± 506 | 2.22 | 67.49 ± 2.20 / 51.10 ± 4.76 | 76.74 ± 1.27 / 75.66 ± 1.17 | 22.37 ± 3.11 / 54.47 ± 4.95 | 57.15 ± 0.72 / 64.47 ± 0.58 | 65.37 ± 0.39 / 19.85 ± 0.39 | 37.50 ± 0.73 / 52.72 ± 0.63 | 55.01 ± 2.40 / 65.64 ± 2.12 | 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 | 1024001 | True | 7,095 ± 2,193 / 1,063 ± 344 | 2.24 | 62.86 ± 1.95 / 36.42 ± 3.49 | 70.54 ± 6.38 / 73.39 ± 6.37 | 37.50 ± 2.48 / 66.32 ± 1.77 | 58.00 ± 0.85 / 65.98 ± 0.82 | 65.93 ± 0.19 / 19.24 ± 0.33 | 40.58 ± 1.17 / 55.16 ± 0.88 | 42.99 ± 2.04 / 56.16 ± 1.93 | 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 | 2.29 | 60.38 ± 1.60 / 36.17 ± 3.66 | 77.49 ± 0.98 / 72.07 ± 1.56 | 29.32 ± 2.34 / 54.43 ± 2.67 | 56.79 ± 0.83 / 65.84 ± 0.48 | 65.75 ± 0.16 / 20.23 ± 0.23 | 36.05 ± 1.10 / 51.86 ± 0.87 | 51.15 ± 1.71 / 63.20 ± 1.32 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
meta-llama/Llama-3.1-8B (few-shot) | 8030 | 128 | 131073 | True | 2,439 ± 459 / 703 ± 219 | 2.32 | 63.85 ± 2.49 / 44.62 ± 4.10 | 79.96 ± 0.93 / 75.75 ± 2.22 | 31.70 ± 4.07 / 59.28 ± 5.00 | 59.33 ± 0.88 / 65.24 ± 0.79 | 65.07 ± 0.28 / 18.94 ± 0.35 | 37.48 ± 0.64 / 52.46 ± 0.52 | 31.27 ± 1.39 / 47.97 ± 1.30 | 12.11.0 | 12.11.0 | 12.11.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
skole-gpt (few-shot) | unknown | 32 | 32768 | False | 3,583 ± 977 / 686 ± 231 | 2.34 | 54.14 ± 2.49 / 37.43 ± 3.05 | 78.27 ± 1.32 / 77.65 ± 1.28 | 32.49 ± 1.94 / 64.28 ± 2.18 | 58.95 ± 0.96 / 66.56 ± 0.62 | 65.86 ± 0.29 / 19.67 ± 0.58 | 43.62 ± 0.82 / 57.61 ± 0.65 | 28.84 ± 2.65 / 45.75 ± 2.13 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) | 8030 | 128 | 8192 | False | 5,018 ± 1,216 / 996 ± 324 | 2.37 | 65.33 ± 2.38 / 46.88 ± 3.97 | 74.99 ± 3.45 / 76.76 ± 1.80 | 32.65 ± 5.08 / 61.25 ± 4.41 | 55.71 ± 1.34 / 64.54 ± 1.00 | 66.53 ± 0.29 / 19.24 ± 0.57 | 33.16 ± 2.11 / 49.26 ± 1.55 | 32.51 ± 2.97 / 48.24 ± 2.10 | 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 | 131073 | True | 2,411 ± 465 / 686 ± 215 | 2.38 | 71.52 ± 1.43 / 59.28 ± 3.63 | 80.46 ± 0.83 / 78.67 ± 1.13 | 12.29 ± 3.59 / 40.53 ± 4.13 | 53.54 ± 1.52 / 62.08 ± 0.98 | 66.27 ± 0.15 / 19.05 ± 0.30 | 39.40 ± 1.44 / 53.87 ± 1.19 | 38.88 ± 1.25 / 53.72 ± 0.91 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
timpal0l/BeagleCatMunin (few-shot, val) | 7242 | 32 | 32768 | False | 2,495 ± 458 / 775 ± 244 | 2.38 | 50.53 ± 3.30 / 37.77 ± 4.38 | 77.37 ± 2.25 / 78.66 ± 2.43 | 27.84 ± 4.72 / 49.46 ± 4.52 | 59.98 ± 1.65 / 65.44 ± 1.38 | 67.89 ± 0.44 / 23.94 ± 0.68 | 34.80 ± 2.79 / 50.82 ± 2.10 | 36.65 ± 5.07 / 51.56 ± 4.13 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 9.3.2 | 9.3.2 | 9.3.2 |
timpal0l/Llama-3-8B-flashback-v1 (few-shot) | 8030 | 128 | 8192 | True | 4,807 ± 1,152 / 979 ± 319 | 2.41 | 59.03 ± 2.04 / 41.99 ± 4.35 | 81.13 ± 0.94 / 80.80 ± 1.09 | 33.06 ± 3.65 / 61.21 ± 3.26 | 58.21 ± 0.67 / 64.01 ± 0.68 | 64.42 ± 0.69 / 18.01 ± 0.55 | 35.24 ± 0.83 / 50.70 ± 0.57 | 25.14 ± 2.02 / 42.54 ± 1.99 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
four-two-labs/orpo-llama-3-swe (few-shot) | 8030 | 128 | 8192 | False | 4,974 ± 1,208 / 1,032 ± 342 | 2.42 | 60.93 ± 2.85 / 38.87 ± 3.50 | 79.74 ± 0.68 / 75.13 ± 1.85 | 26.02 ± 4.38 / 52.19 ± 5.44 | 59.84 ± 0.92 / 65.92 ± 0.82 | 64.99 ± 0.26 / 18.65 ± 0.32 | 36.35 ± 1.03 / 51.91 ± 0.77 | 27.22 ± 2.24 / 45.02 ± 1.74 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
meta-llama/Meta-Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,687 ± 1,121 / 967 ± 313 | 2.42 | 60.36 ± 2.84 / 39.37 ± 3.56 | 79.74 ± 0.75 / 75.11 ± 1.91 | 28.24 ± 4.19 / 55.29 ± 5.35 | 59.73 ± 1.13 / 65.72 ± 0.94 | 64.81 ± 0.24 / 18.56 ± 0.35 | 35.86 ± 0.90 / 51.39 ± 0.69 | 26.49 ± 1.89 / 44.41 ± 1.56 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
RJuro/munin-neuralbeagle-7b (few-shot, val) | 7242 | 32 | 32768 | False | 2,493 ± 466 / 773 ± 243 | 2.44 | 62.96 ± 2.62 / 51.99 ± 5.66 | 77.13 ± 2.43 / 78.36 ± 1.88 | 15.73 ± 7.07 / 47.41 ± 5.31 | 58.43 ± 1.59 / 65.06 ± 1.19 | 67.58 ± 0.22 / 22.52 ± 0.52 | 32.54 ± 2.61 / 49.30 ± 1.93 | 34.94 ± 3.79 / 50.39 ± 3.23 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 9.3.2 | 9.3.2 | 9.3.2 |
timpal0l/BeagleCatMunin2 (few-shot, val) | 7242 | 32 | 32768 | False | 2,477 ± 459 / 767 ± 241 | 2.46 | 60.87 ± 3.71 / 47.40 ± 5.32 | 73.72 ± 2.20 / 67.79 ± 2.37 | 6.78 ± 4.34 / 35.90 ± 2.11 | 58.75 ± 1.46 / 65.08 ± 1.15 | 68.06 ± 0.31 / 23.91 ± 0.64 | 33.71 ± 2.28 / 50.08 ± 1.68 | 41.45 ± 3.36 / 55.51 ± 2.69 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 9.3.1 | 9.3.1 | 9.3.1 |
google/gemma-7b (few-shot) | 8538 | 256 | 8192 | True | 1,378 ± 260 / 387 ± 119 | 2.47 | 43.68 ± 3.65 / 29.40 ± 3.10 | 77.72 ± 4.50 / 77.58 ± 4.13 | 36.25 ± 2.66 / 65.08 ± 2.92 | 58.62 ± 0.98 / 64.23 ± 0.88 | 64.44 ± 0.29 / 18.70 ± 0.57 | 39.94 ± 1.17 / 53.25 ± 0.89 | 25.96 ± 3.94 / 40.33 ± 3.17 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.10.0 |
meta-llama/Llama-2-70b-chat-hf (few-shot, val) | 68977 | 32 | 3843 | True | 1,979 ± 621 / 320 ± 105 | 2.47 | 55.91 ± 3.25 / 39.73 ± 4.94 | 64.52 ± 3.15 / 70.51 ± 2.49 | 23.85 ± 7.34 / 56.89 ± 6.08 | 58.88 ± 1.51 / 65.82 ± 1.07 | 67.57 ± 0.24 / 21.77 ± 0.61 | 37.60 ± 3.30 / 52.46 ± 2.31 | 31.78 ± 2.98 / 47.11 ± 2.71 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
merge-crew/da-sv-slerp (few-shot, val) | 7242 | 32 | 32768 | True | 2,467 ± 469 / 762 ± 244 | 2.48 | 46.57 ± 3.34 / 33.94 ± 3.73 | 76.53 ± 2.55 / 77.96 ± 3.04 | 33.43 ± 3.89 / 61.87 ± 4.02 | 59.87 ± 1.52 / 64.53 ± 1.41 | 66.76 ± 0.41 / 21.92 ± 0.79 | 28.89 ± 2.22 / 46.41 ± 1.55 | 30.36 ± 2.80 / 47.15 ± 2.26 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
merge-crew/da-sv-task-arithmetic (few-shot, val) | 7242 | 32 | 32768 | True | 2,500 ± 469 / 762 ± 238 | 2.48 | 47.28 ± 3.05 / 34.01 ± 3.73 | 76.62 ± 2.52 / 78.04 ± 2.98 | 33.23 ± 4.72 / 61.29 ± 4.67 | 60.00 ± 1.69 / 64.62 ± 1.44 | 66.68 ± 0.43 / 21.83 ± 0.75 | 29.95 ± 1.74 / 47.23 ± 1.24 | 31.12 ± 3.68 / 47.85 ± 2.80 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
birgermoell/Flashback-Bellman (few-shot, val) | 7242 | 32 | 32768 | False | 2,887 ± 403 / 1,144 ± 345 | 2.49 | 55.29 ± 3.95 / 41.59 ± 4.48 | 78.29 ± 1.83 / 78.77 ± 2.06 | 18.45 ± 3.00 / 46.38 ± 2.81 | 58.42 ± 1.64 / 63.83 ± 1.18 | 67.54 ± 0.48 / 23.67 ± 0.69 | 29.44 ± 2.34 / 46.95 ± 1.75 | 37.45 ± 3.61 / 52.85 ± 2.76 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 9.3.1 | 9.3.1 | 9.3.1 |
mlabonne/NeuralBeagle14-7B (few-shot, val) | 7242 | 32 | 8192 | False | 2,549 ± 472 / 784 ± 245 | 2.49 | 61.25 ± 3.35 / 50.76 ± 5.94 | 76.03 ± 2.11 / 78.25 ± 1.95 | 16.28 ± 4.81 / 49.04 ± 3.60 | 50.96 ± 2.34 / 60.05 ± 1.18 | 68.35 ± 0.32 / 24.05 ± 0.66 | 32.30 ± 2.48 / 48.98 ± 1.96 | 38.78 ± 5.70 / 52.89 ± 4.91 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 9.3.2 | 9.3.2 | 9.3.2 |
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) | 7242 | 32 | 32768 | False | 3,008 ± 429 / 991 ± 323 | 2.50 | 59.36 ± 2.75 / 47.08 ± 4.17 | 72.04 ± 3.27 / 63.83 ± 2.07 | 22.38 ± 7.17 / 54.70 ± 5.49 | 57.96 ± 2.00 / 64.06 ± 1.76 | 65.13 ± 0.34 / 19.26 ± 0.43 | 29.81 ± 2.25 / 47.46 ± 1.72 | 35.59 ± 3.75 / 51.76 ± 2.63 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 9.3.2 | 9.3.2 | 9.3.2 |
bineric/NorskGPT-Llama3-8b (few-shot) | 8030 | 128 | 8192 | False | 3,695 ± 1,277 / 532 ± 183 | 2.52 | 63.19 ± 2.83 / 51.22 ± 3.61 | 76.06 ± 0.64 / 61.59 ± 0.77 | 5.34 ± 1.42 / 34.32 ± 0.56 | 56.70 ± 0.87 / 66.00 ± 0.59 | 66.25 ± 0.16 / 20.28 ± 0.33 | 36.23 ± 0.91 / 51.68 ± 0.73 | 43.60 ± 1.33 / 56.86 ± 1.15 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
AI-Sweden-Models/tyr (few-shot, val) | 7242 | 32 | 32768 | False | 6,079 ± 1,051 / 1,760 ± 570 | 2.53 | 56.21 ± 2.49 / 44.78 ± 4.19 | 78.30 ± 1.71 / 79.80 ± 2.03 | 14.35 ± 5.65 / 48.69 ± 4.30 | 61.08 ± 1.47 / 65.72 ± 1.07 | 67.96 ± 0.40 / 24.14 ± 0.74 | 31.74 ± 2.48 / 48.52 ± 1.88 | 30.12 ± 2.07 / 47.58 ± 1.29 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 |
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) | 8030 | 128 | 8192 | True | 4,909 ± 1,215 / 978 ± 319 | 2.53 | 69.67 ± 1.30 / 52.94 ± 4.01 | 59.93 ± 4.70 / 67.54 ± 3.04 | 27.63 ± 3.19 / 60.85 ± 3.29 | 49.84 ± 1.61 / 60.85 ± 0.93 | 66.60 ± 0.07 / 19.13 ± 0.31 | 33.54 ± 1.40 / 49.20 ± 1.13 | 30.32 ± 2.27 / 45.96 ± 1.87 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
CohereForAI/aya-expanse-8b (few-shot) | 8028 | 256 | 8192 | False | 5,581 ± 1,066 / 1,471 ± 483 | 2.54 | 57.38 ± 1.93 / 29.69 ± 4.23 | 78.43 ± 0.93 / 74.54 ± 2.40 | 14.52 ± 2.43 / 45.18 ± 4.21 | 53.14 ± 1.81 / 63.00 ± 0.50 | 65.69 ± 0.22 / 19.95 ± 0.16 | 37.32 ± 0.70 / 52.95 ± 0.50 | 38.28 ± 1.31 / 53.70 ± 0.97 | 13.0.0 | 13.0.0 | 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 | 2.54 | 44.14 ± 2.40 / 29.77 ± 4.06 | 80.14 ± 1.11 / 80.19 ± 0.78 | 34.23 ± 2.23 / 65.29 ± 2.17 | 57.07 ± 1.56 / 62.52 ± 1.11 | 65.15 ± 0.31 / 18.72 ± 0.57 | 33.24 ± 0.85 / 49.69 ± 0.67 | 25.50 ± 2.25 / 43.44 ± 2.03 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 |
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) | 7242 | 32 | 32768 | True | 2,443 ± 458 / 750 ± 240 | 2.55 | 46.61 ± 3.11 / 34.10 ± 4.61 | 76.38 ± 2.01 / 78.30 ± 2.42 | 34.16 ± 4.39 / 60.06 ± 4.67 | 58.77 ± 1.76 / 63.50 ± 1.47 | 66.77 ± 0.46 / 22.42 ± 0.84 | 29.77 ± 2.44 / 46.25 ± 1.64 | 25.38 ± 3.56 / 39.34 ± 3.89 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) | 7242 | 32 | 32768 | False | 2,890 ± 401 / 1,155 ± 348 | 2.56 | 52.96 ± 3.45 / 41.51 ± 4.30 | 76.99 ± 2.37 / 76.84 ± 2.99 | 14.27 ± 4.36 / 40.60 ± 3.04 | 59.92 ± 1.64 / 64.87 ± 1.47 | 67.62 ± 0.42 / 23.90 ± 0.77 | 27.95 ± 2.57 / 45.86 ± 1.85 | 36.11 ± 3.54 / 51.60 ± 2.44 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 9.3.1 | 9.3.1 | 9.3.1 |
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) | 7242 | 32 | 32768 | False | 2,903 ± 407 / 1,157 ± 350 | 2.56 | 63.85 ± 2.67 / 47.77 ± 4.72 | 73.72 ± 2.98 / 62.83 ± 1.64 | -0.56 ± 2.24 / 33.54 ± 1.03 | 60.10 ± 1.48 / 66.26 ± 1.19 | 68.11 ± 0.21 / 23.63 ± 0.56 | 27.79 ± 2.32 / 45.82 ± 1.61 | 42.43 ± 2.76 / 56.52 ± 2.13 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 9.3.1 | 9.3.1 | 9.3.1 |
birgermoell/Rapid-Cycling (few-shot, val) | 7242 | 32 | 32768 | False | 2,346 ± 450 / 666 ± 249 | 2.56 | 53.66 ± 3.57 / 41.97 ± 4.83 | 77.72 ± 2.51 / 78.40 ± 2.65 | 16.22 ± 4.46 / 43.17 ± 3.88 | 59.75 ± 1.13 / 64.72 ± 1.04 | 67.57 ± 0.48 / 23.65 ± 0.72 | 27.24 ± 2.07 / 45.51 ± 1.53 | 32.04 ± 4.21 / 48.67 ± 3.11 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 9.3.2 | 9.3.2 | 9.3.2 |
birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) | 7242 | 32 | 32768 | False | 2,856 ± 391 / 1,142 ± 342 | 2.56 | 63.85 ± 2.67 / 47.77 ± 4.72 | 73.72 ± 2.98 / 62.83 ± 1.64 | -0.56 ± 2.24 / 33.54 ± 1.03 | 60.10 ± 1.48 / 66.26 ± 1.19 | 68.11 ± 0.21 / 23.63 ± 0.56 | 27.79 ± 2.32 / 45.82 ± 1.61 | 42.43 ± 2.76 / 56.52 ± 2.13 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 9.3.1 | 9.3.1 | 9.3.1 |
merge-crew/da-sv-ties (few-shot, val) | 7242 | 32 | 32768 | True | 2,457 ± 451 / 757 ± 237 | 2.58 | 48.36 ± 3.07 / 34.48 ± 5.22 | 76.57 ± 2.19 / 78.11 ± 2.73 | 20.94 ± 5.55 / 44.72 ± 4.06 | 59.07 ± 1.90 / 63.87 ± 1.46 | 66.59 ± 0.50 / 22.19 ± 0.78 | 31.44 ± 1.94 / 47.30 ± 1.54 | 26.04 ± 3.42 / 38.83 ± 4.24 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 2.58 | 58.90 ± 1.34 / 42.48 ± 3.97 | 67.74 ± 2.79 / 71.89 ± 1.89 | 16.52 ± 2.55 / 46.30 ± 2.62 | 49.41 ± 1.21 / 59.91 ± 0.48 | 66.09 ± 0.17 / 19.64 ± 0.27 | 31.76 ± 0.89 / 48.64 ± 0.69 | 45.84 ± 1.47 / 59.27 ± 1.16 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
mhenrichsen/danskgpt-chat-v2.1 (few-shot) | unknown | 32 | 32768 | True | 5,085 ± 998 / 1,306 ± 404 | 2.59 | 54.37 ± 3.04 / 42.16 ± 4.00 | 75.98 ± 1.15 / 74.44 ± 1.12 | 17.98 ± 1.97 / 56.01 ± 2.08 | 55.07 ± 0.74 / 64.24 ± 0.61 | 64.42 ± 0.09 / 14.42 ± 0.51 | 32.81 ± 0.91 / 49.28 ± 0.64 | 36.24 ± 1.44 / 51.96 ± 1.13 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 |
bineric/NorskGPT-Mistral-7b (few-shot) | 7242 | 32 | 32768 | False | 2,443 ± 451 / 761 ± 237 | 2.60 | 58.40 ± 2.62 / 40.55 ± 3.65 | 74.30 ± 1.26 / 60.35 ± 0.41 | 0.00 ± 0.00 / 33.37 ± 0.27 | 59.16 ± 1.23 / 65.78 ± 0.72 | 65.36 ± 0.14 / 18.81 ± 0.17 | 35.01 ± 0.99 / 51.07 ± 0.70 | 43.72 ± 0.69 / 57.66 ± 0.50 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 | 11.0.0 | 9.3.1 | 9.3.1 |
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) | 7242 | 32 | 32768 | True | 2,515 ± 465 / 785 ± 247 | 2.61 | 45.12 ± 2.72 / 30.73 ± 4.55 | 78.74 ± 2.13 / 80.11 ± 2.64 | 19.74 ± 6.09 / 46.97 ± 5.83 | 60.15 ± 1.71 / 65.22 ± 1.28 | 66.41 ± 0.46 / 21.90 ± 0.70 | 31.24 ± 3.01 / 47.77 ± 2.19 | 22.30 ± 3.50 / 39.45 ± 2.60 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
timpal0l/njord-alpha (few-shot) | 7242 | 32 | 32768 | True | 5,431 ± 1,267 / 1,139 ± 365 | 2.63 | 48.19 ± 2.55 / 37.50 ± 3.62 | 79.95 ± 0.87 / 81.24 ± 0.64 | 32.85 ± 2.28 / 61.74 ± 3.05 | 57.39 ± 1.52 / 63.58 ± 1.19 | 65.95 ± 0.25 / 20.56 ± 0.37 | 25.32 ± 0.99 / 42.09 ± 1.04 | 14.55 ± 2.32 / 31.99 ± 2.16 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
mlabonne/AlphaMonarch-7B (few-shot, val) | 7242 | 32 | 8192 | False | 5,340 ± 1,262 / 1,157 ± 375 | 2.64 | 60.53 ± 3.06 / 48.45 ± 5.19 | 67.03 ± 3.61 / 70.77 ± 1.95 | 15.10 ± 4.60 / 48.57 ± 2.91 | 42.46 ± 1.63 / 53.50 ± 1.40 | 67.94 ± 0.21 / 22.99 ± 0.24 | 27.51 ± 3.08 / 45.43 ± 2.37 | 42.29 ± 5.08 / 55.43 ± 4.50 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
Mabeck/Heidrun-Mistral-7B-chat (few-shot) | 7242 | 32 | 32768 | False | 5,822 ± 1,283 / 1,336 ± 430 | 2.65 | 55.06 ± 2.38 / 41.39 ± 4.31 | 77.50 ± 0.90 / 73.87 ± 1.21 | 17.47 ± 2.33 / 47.73 ± 3.35 | 58.67 ± 0.96 / 64.58 ± 0.78 | 64.18 ± 0.24 / 18.13 ± 0.35 | 31.04 ± 1.08 / 48.29 ± 0.82 | 23.57 ± 1.68 / 42.37 ± 1.34 | 10.0.1 | 10.0.1 | 10.0.1 | 12.5.0 | 12.5.0 | 10.0.1 | 10.0.1 |
ibm-granite/granite-3.0-8b-base (few-shot) | 8171 | 49 | 4096 | True | 5,116 ± 943 / 1,436 ± 472 | 2.67 | 44.80 ± 2.36 / 34.91 ± 2.67 | 75.92 ± 2.44 / 75.77 ± 2.08 | 24.84 ± 2.78 / 59.88 ± 4.08 | 56.71 ± 1.65 / 62.01 ± 1.64 | 63.65 ± 0.52 / 18.25 ± 0.41 | 26.71 ± 1.53 / 44.61 ± 1.21 | 30.43 ± 0.92 / 47.06 ± 0.83 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) | 7242 | 32 | 8192 | True | 6,113 ± 1,044 / 1,790 ± 579 | 2.68 | 47.10 ± 2.60 / 35.06 ± 3.65 | 73.05 ± 5.27 / 74.56 ± 4.19 | 30.29 ± 2.63 / 61.40 ± 3.22 | 57.39 ± 1.38 / 63.51 ± 1.04 | 64.69 ± 0.53 / 19.03 ± 0.41 | 27.40 ± 0.76 / 44.17 ± 0.82 | 21.08 ± 3.28 / 38.46 ± 2.96 | 12.5.2 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 |
meta-llama/Llama-2-13b-hf (few-shot) | 13016 | 32 | 4096 | True | 2,898 ± 637 / 736 ± 236 | 2.70 | 54.52 ± 3.33 / 44.11 ± 5.29 | 78.45 ± 1.21 / 79.73 ± 0.97 | 21.55 ± 3.74 / 49.54 ± 4.41 | 59.71 ± 0.68 / 65.01 ± 0.64 | 64.59 ± 0.34 / 18.56 ± 0.39 | 25.51 ± 0.81 / 43.68 ± 0.60 | 14.97 ± 1.73 / 34.85 ± 1.34 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 | 12.10.5 | 12.10.4 | 12.10.4 |
alpindale/Mistral-7B-v0.2-hf (few-shot) | 7242 | 32 | 32768 | True | 1,841 ± 297 / 651 ± 193 | 2.71 | 48.96 ± 2.72 / 39.25 ± 3.69 | 78.90 ± 0.95 / 78.62 ± 1.08 | 10.82 ± 3.46 / 38.95 ± 3.80 | 58.91 ± 1.02 / 64.72 ± 0.76 | 64.78 ± 0.33 / 19.24 ± 0.42 | 34.52 ± 1.19 / 50.47 ± 0.93 | 20.96 ± 1.96 / 39.95 ± 1.66 | 12.5.2 | 12.5.1 | 12.5.1 | 12.5.1 | 12.5.1 | 12.5.1 | 12.5.1 |
mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 2,657 ± 524 / 880 ± 278 | 2.71 | 53.34 ± 2.55 / 40.48 ± 3.66 | 80.00 ± 0.70 / 79.80 ± 0.66 | 4.61 ± 2.18 / 34.51 ± 0.86 | 58.99 ± 1.05 / 64.65 ± 0.83 | 64.87 ± 0.31 / 19.30 ± 0.43 | 35.52 ± 1.01 / 51.52 ± 0.73 | 19.67 ± 2.31 / 38.98 ± 1.98 | 0.0.0 | 0.0.0 | 0.0.0 | 12.5.1 | 11.0.0 | 9.1.2 | 9.1.2 |
mistralai/Mistral-7B-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 4,120 ± 976 / 926 ± 306 | 2.71 | 49.18 ± 2.71 / 39.25 ± 3.60 | 79.08 ± 0.77 / 78.81 ± 0.94 | 11.06 ± 3.55 / 38.96 ± 3.77 | 58.98 ± 1.04 / 64.79 ± 0.79 | 64.79 ± 0.32 / 19.30 ± 0.42 | 34.51 ± 1.13 / 50.46 ± 0.88 | 20.84 ± 2.19 / 39.88 ± 1.85 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.5 | 12.10.4 | 12.10.4 |
KennethEnevoldsen/munin_mistral-7b (few-shot, val) | 7242 | 32 | 32768 | False | 2,543 ± 466 / 787 ± 247 | 2.72 | 52.34 ± 3.07 / 39.14 ± 4.60 | 77.66 ± 2.09 / 78.59 ± 2.41 | 6.00 ± 4.15 / 36.34 ± 2.20 | 60.16 ± 1.81 / 64.12 ± 1.59 | 65.54 ± 0.49 / 19.31 ± 0.71 | 31.83 ± 2.27 / 48.55 ± 1.67 | 20.55 ± 3.93 / 38.95 ± 3.23 | 12.5.2 | 12.3.1 | 12.3.1 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 |
mhenrichsen/hestenettetLM (few-shot) | 7242 | 32 | 32768 | True | 5,160 ± 804 / 1,654 ± 516 | 2.72 | 53.00 ± 2.53 / 39.09 ± 3.72 | 79.70 ± 0.65 / 79.45 ± 0.68 | 4.32 ± 2.19 / 34.43 ± 0.87 | 59.03 ± 1.03 / 64.74 ± 0.84 | 64.89 ± 0.28 / 19.31 ± 0.40 | 35.48 ± 0.99 / 51.54 ± 0.72 | 20.54 ± 2.14 / 39.66 ± 1.80 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 |
AI-Sweden-Models/Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,141 ± 994 / 905 ± 299 | 2.73 | 36.45 ± 2.44 / 27.24 ± 2.29 | 81.12 ± 1.02 / 77.04 ± 2.74 | 26.80 ± 2.07 / 59.15 ± 2.72 | 58.16 ± 0.82 / 64.72 ± 0.72 | 66.09 ± 0.31 / 20.48 ± 0.47 | 29.01 ± 0.68 / 45.32 ± 0.67 | 15.92 ± 1.74 / 35.28 ± 1.24 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
Mabeck/Heidrun-Mistral-7B-base (few-shot) | 7242 | 32 | 32768 | True | 3,823 ± 967 / 860 ± 280 | 2.74 | 48.43 ± 2.75 / 35.31 ± 2.80 | 79.43 ± 0.85 / 78.21 ± 1.69 | 17.37 ± 2.57 / 52.91 ± 4.93 | 57.05 ± 1.22 / 62.72 ± 0.89 | 63.81 ± 0.34 / 18.13 ± 0.31 | 31.72 ± 0.55 / 48.70 ± 0.45 | 15.69 ± 2.43 / 35.96 ± 2.03 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 |
ibm-granite/granite-3.0-8b-instruct (few-shot) | 8171 | 49 | 4096 | True | 5,090 ± 937 / 1,423 ± 466 | 2.74 | 44.94 ± 2.91 / 35.67 ± 3.53 | 76.78 ± 1.63 / 78.27 ± 1.22 | 16.96 ± 2.77 / 55.03 ± 3.49 | 56.83 ± 1.02 / 63.13 ± 0.89 | 65.09 ± 0.37 / 19.37 ± 0.37 | 26.57 ± 1.18 / 44.19 ± 0.95 | 24.62 ± 2.11 / 42.11 ± 1.50 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) | 7242 | 32 | 32768 | False | 3,006 ± 479 / 1,053 ± 319 | 2.77 | 44.64 ± 1.66 / 31.30 ± 2.96 | 77.98 ± 1.01 / 72.79 ± 2.47 | 16.57 ± 2.58 / 51.86 ± 3.69 | 57.31 ± 0.92 / 63.73 ± 1.04 | 63.23 ± 0.35 / 15.35 ± 0.57 | 28.15 ± 0.90 / 45.69 ± 0.72 | 23.58 ± 1.41 / 42.30 ± 1.04 | 11.0.0 | 11.0.0 | 11.0.0 | 12.4.0 | 12.4.0 | 11.0.0 | 11.0.0 |
meta-llama/Llama-2-13b-chat-hf (few-shot) | 13016 | 32 | 4096 | True | 2,849 ± 622 / 723 ± 229 | 2.77 | 49.90 ± 2.28 / 35.48 ± 3.44 | 77.19 ± 2.05 / 79.13 ± 1.43 | 14.67 ± 2.27 / 53.90 ± 2.24 | 57.12 ± 0.70 / 63.72 ± 0.73 | 66.25 ± 0.10 / 19.64 ± 0.19 | 24.40 ± 1.20 / 42.73 ± 0.90 | 19.30 ± 1.27 / 38.75 ± 1.05 | 12.10.5 | 12.10.4 | 12.10.4 | 12.11.0 | 12.11.0 | 12.10.4 | 12.10.4 |
danish-foundation-models/munin-7b-alpha (few-shot) | 7242 | 32 | 32768 | True | 6,116 ± 1,049 / 1,784 ± 577 | 2.78 | 42.23 ± 2.44 / 30.30 ± 4.71 | 78.80 ± 0.93 / 75.28 ± 1.78 | 15.47 ± 1.79 / 54.26 ± 3.41 | 56.75 ± 1.15 / 62.43 ± 0.95 | 62.78 ± 0.76 / 16.74 ± 0.45 | 30.86 ± 1.12 / 47.83 ± 0.93 | 19.11 ± 2.74 / 38.55 ± 2.29 | 12.5.2 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 |
CohereForAI/aya-23-8B (few-shot) | 8028 | 256 | 8192 | False | 5,608 ± 1,062 / 1,472 ± 479 | 2.79 | 60.04 ± 1.22 / 43.93 ± 3.63 | 76.21 ± 0.85 / 67.87 ± 1.71 | 7.54 ± 2.52 / 35.42 ± 1.33 | 58.60 ± 0.59 / 63.65 ± 0.30 | 63.00 ± 0.55 / 18.11 ± 0.35 | 20.97 ± 0.82 / 39.72 ± 0.64 | 28.96 ± 2.18 / 46.32 ± 1.64 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
bineric/NorskGPT-Llama-13B-v0.1 (few-shot) | 13016 | 32 | 4096 | False | 2,856 ± 645 / 709 ± 243 | 2.83 | 49.26 ± 2.31 / 36.92 ± 4.05 | 79.05 ± 0.80 / 77.87 ± 2.06 | 0.22 ± 0.43 / 33.38 ± 0.26 | 56.78 ± 1.02 / 63.61 ± 0.61 | 65.99 ± 0.07 / 19.57 ± 0.17 | 25.56 ± 0.86 / 43.67 ± 0.64 | 28.26 ± 1.97 / 45.89 ± 1.42 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 2.83 | 47.92 ± 2.66 / 33.00 ± 3.24 | 62.90 ± 2.44 / 70.61 ± 1.19 | 19.95 ± 2.24 / 56.49 ± 2.10 | 52.51 ± 0.36 / 61.42 ± 0.52 | 66.11 ± 0.18 / 19.64 ± 0.28 | 25.60 ± 1.10 / 43.53 ± 0.90 | 21.75 ± 1.61 / 40.57 ± 1.45 | 9.2.0 | 9.2.0 | 9.3.1 | 12.4.0 | 12.4.0 | 9.3.2 | 9.3.2 |
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) | 7242 | 32 | 32768 | False | 5,172 ± 813 / 1,647 ± 518 | 2.84 | 46.74 ± 4.30 / 33.57 ± 4.51 | 77.06 ± 1.82 / 79.02 ± 1.37 | 14.00 ± 1.59 / 53.89 ± 3.10 | 56.74 ± 0.52 / 63.45 ± 0.49 | 62.56 ± 0.85 / 15.85 ± 0.34 | 30.87 ± 1.35 / 47.77 ± 1.01 | 15.79 ± 1.57 / 35.66 ± 0.84 | 12.5.2 | 12.3.2 | 12.3.2 | 12.4.0 | 12.4.0 | 12.3.2 | 12.3.2 |
birgermoell/NeuralBeagle-Flashback (few-shot, val) | 7242 | 32 | 32768 | False | 2,904 ± 405 / 1,155 ± 349 | 2.85 | 51.73 ± 4.51 / 40.50 ± 6.05 | 36.06 ± 3.31 / 53.46 ± 1.79 | 19.42 ± 5.08 / 46.92 ± 5.36 | 59.26 ± 1.66 / 64.40 ± 1.35 | 67.55 ± 0.53 / 23.64 ± 0.72 | 23.10 ± 2.38 / 42.58 ± 1.74 | 29.31 ± 5.03 / 47.11 ± 3.62 | 9.3.0 | 9.3.0 | 9.3.0 | 12.5.2 | 9.3.0 | 9.3.0 | 9.3.0 |
meta-llama/Llama-3.2-3B-Instruct (few-shot) | 3213 | 128 | 131073 | False | 10,424 ± 2,641 / 2,081 ± 666 | 2.85 | 43.74 ± 2.58 / 34.37 ± 2.59 | 76.98 ± 1.31 / 71.38 ± 3.20 | 16.01 ± 2.24 / 51.83 ± 3.50 | 48.38 ± 1.78 / 57.83 ± 0.99 | 64.98 ± 0.47 / 17.53 ± 0.50 | 29.44 ± 0.61 / 47.21 ± 0.47 | 22.42 ± 1.89 / 41.45 ± 1.49 | 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-it (few-shot) | 2614 | 256 | 8193 | True | 5,374 ± 1,233 / 1,193 ± 377 | 2.87 | 35.61 ± 2.19 / 26.05 ± 2.45 | 75.84 ± 1.41 / 77.22 ± 1.09 | 15.62 ± 1.67 / 51.30 ± 3.09 | 47.76 ± 0.92 / 58.65 ± 0.83 | 65.16 ± 0.13 / 18.88 ± 0.13 | 27.00 ± 0.89 / 44.95 ± 0.72 | 31.43 ± 1.21 / 47.99 ± 0.85 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) | unknown | 32 | 4096 | False | 3,254 ± 1,068 / 484 ± 173 | 2.89 | 50.85 ± 2.44 / 39.65 ± 3.83 | 74.17 ± 2.12 / 76.62 ± 1.83 | 7.51 ± 1.94 / 37.81 ± 1.76 | 57.32 ± 0.63 / 63.28 ± 0.71 | 65.20 ± 0.45 / 19.06 ± 0.15 | 23.92 ± 0.88 / 42.25 ± 0.73 | 17.67 ± 1.53 / 37.32 ± 1.20 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
meta-llama/Llama-3.2-3B (few-shot) | 3213 | 128 | 131073 | True | 3,713 ± 877 / 836 ± 267 | 2.89 | 51.06 ± 2.85 / 31.63 ± 3.67 | 77.76 ± 1.09 / 67.88 ± 3.15 | 5.88 ± 3.89 / 38.51 ± 4.84 | 57.43 ± 1.04 / 62.93 ± 0.94 | 62.73 ± 0.74 / 17.61 ± 0.49 | 27.05 ± 1.14 / 44.68 ± 0.87 | 13.30 ± 1.20 / 33.89 ± 1.04 | 13.0.0 | 13.0.0 | 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 | 2.91 | 45.55 ± 2.18 / 26.78 ± 3.65 | 70.71 ± 1.99 / 71.19 ± 1.14 | 4.83 ± 3.48 / 36.64 ± 2.95 | 55.25 ± 1.21 / 61.21 ± 0.89 | 63.18 ± 0.45 / 17.62 ± 0.51 | 26.05 ± 0.80 / 44.56 ± 0.62 | 27.09 ± 1.66 / 44.95 ± 1.30 | 13.0.0 | 13.0.0 | 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 | 2.91 | 47.67 ± 2.81 / 36.91 ± 3.50 | 71.73 ± 2.40 / 74.97 ± 1.84 | 7.90 ± 3.20 / 41.24 ± 4.78 | 57.78 ± 0.79 / 64.48 ± 0.73 | 65.07 ± 0.34 / 19.59 ± 0.38 | 25.52 ± 1.30 / 43.68 ± 1.03 | 14.06 ± 1.68 / 35.12 ± 1.47 | 12.5.2 | 12.2.0 | 12.3.1 | 12.4.0 | 12.4.0 | 12.3.1 | 12.3.1 |
occiglot/occiglot-7b-eu5 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 2.93 | 49.02 ± 3.23 / 41.69 ± 3.74 | 76.56 ± 1.52 / 78.16 ± 1.12 | 2.18 ± 2.34 / 36.26 ± 3.89 | 58.98 ± 0.95 / 63.65 ± 0.89 | 64.42 ± 0.45 / 18.79 ± 0.47 | 23.68 ± 1.41 / 42.15 ± 1.14 | 14.05 ± 1.60 / 34.81 ± 1.58 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.2.0 |
01-ai/Yi-6B (few-shot) | 6061 | 64 | 4096 | True | 6,435 ± 1,316 / 1,632 ± 549 | 2.97 | 46.69 ± 2.39 / 32.97 ± 4.57 | 75.39 ± 1.06 / 71.95 ± 1.42 | 2.91 ± 2.80 / 35.26 ± 2.12 | 54.95 ± 0.86 / 60.77 ± 0.75 | 62.70 ± 0.76 / 17.52 ± 0.40 | 25.28 ± 0.72 / 43.71 ± 0.56 | 19.20 ± 1.18 / 38.76 ± 0.96 | 9.3.2 | 10.0.0 | 10.0.0 | 12.5.1 | 12.0.0 | 10.0.1 | 10.0.1 |
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 2,518 ± 463 / 779 ± 243 | 2.97 | 54.38 ± 2.92 / 39.66 ± 5.20 | 55.84 ± 2.51 / 66.96 ± 1.37 | 16.05 ± 2.15 / 54.22 ± 2.86 | 53.22 ± 0.88 / 61.85 ± 0.63 | 64.90 ± 0.14 / 16.99 ± 0.20 | 22.36 ± 1.17 / 41.14 ± 0.78 | 12.52 ± 1.41 / 33.90 ± 1.11 | 9.2.0 | 9.2.0 | 9.2.0 | 12.4.0 | 12.4.0 | 9.2.0 | 9.2.0 |
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 2.98 | 45.01 ± 2.11 / 27.59 ± 3.35 | 73.33 ± 1.98 / 76.19 ± 1.59 | 11.59 ± 3.45 / 40.89 ± 4.15 | 52.12 ± 1.42 / 59.29 ± 1.17 | 63.10 ± 0.60 / 18.05 ± 0.36 | 24.03 ± 1.09 / 42.32 ± 0.70 | 15.37 ± 0.71 / 35.78 ± 0.69 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 | 12.4.0 | 9.3.1 | 9.3.1 |
meta-llama/Llama-2-7b-hf (few-shot) | 6738 | 32 | 4096 | True | 930 ± 310 / 128 ± 43 | 3.02 | 44.11 ± 4.26 / 31.64 ± 4.48 | 79.05 ± 1.08 / 75.52 ± 2.66 | 7.34 ± 3.19 / 43.83 ± 5.31 | 57.49 ± 0.95 / 63.16 ± 0.77 | 64.63 ± 0.39 / 18.68 ± 0.39 | 15.65 ± 0.55 / 36.32 ± 0.55 | 8.74 ± 1.34 / 29.87 ± 1.40 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 | 12.0.0 | 9.2.0 | 9.2.0 |
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) | 6738 | 32 | 4096 | False | 5,384 ± 879 / 1,746 ± 553 | 3.04 | 53.95 ± 1.89 / 42.16 ± 4.59 | 60.91 ± 2.35 / 59.47 ± 1.21 | 0.32 ± 0.62 / 33.39 ± 0.28 | 55.28 ± 0.62 / 63.41 ± 0.55 | 63.73 ± 0.18 / 15.64 ± 0.27 | 20.96 ± 0.77 / 40.70 ± 0.59 | 25.76 ± 1.39 / 43.71 ± 1.09 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 |
ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 3.10 | 59.77 ± 3.55 / 45.71 ± 4.91 | 74.45 ± 1.19 / 72.26 ± 0.89 | 3.97 ± 1.50 / 34.79 ± 0.80 | 50.18 ± 1.05 / 56.07 ± 0.89 | 62.61 ± 0.55 / 17.92 ± 0.33 | 14.34 ± 0.73 / 35.93 ± 0.55 | 7.40 ± 1.39 / 30.20 ± 1.23 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
allenai/OLMo-1.7-7B-hf (few-shot) | 6888 | 50 | 4096 | True | 3,371 ± 876 / 561 ± 184 | 3.11 | 41.25 ± 2.07 / 32.87 ± 2.49 | 76.60 ± 0.98 / 64.63 ± 2.41 | 6.37 ± 2.08 / 49.55 ± 3.34 | 54.87 ± 0.64 / 61.35 ± 0.68 | 62.90 ± 0.52 / 17.15 ± 0.51 | 16.18 ± 0.78 / 34.88 ± 0.66 | 8.52 ± 1.90 / 29.96 ± 1.75 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 | 12.10.5 | 12.10.4 | 12.10.4 |
meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 3.11 | 39.72 ± 2.82 / 29.85 ± 2.99 | 66.18 ± 3.25 / 72.00 ± 1.75 | 6.74 ± 1.66 / 45.55 ± 4.31 | 54.05 ± 0.84 / 60.90 ± 0.82 | 65.92 ± 0.05 / 18.51 ± 0.18 | 17.73 ± 0.98 / 37.55 ± 0.69 | 12.85 ± 0.93 / 33.37 ± 0.90 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 | 12.4.0 | 9.3.1 | 9.3.1 |
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) | 7242 | 32 | 32768 | True | 2,461 ± 476 / 773 ± 248 | 3.13 | 32.37 ± 3.05 / 24.60 ± 3.81 | 75.33 ± 2.41 / 77.99 ± 2.58 | 12.73 ± 6.32 / 45.51 ± 7.43 | 53.05 ± 1.83 / 58.32 ± 1.46 | 64.74 ± 0.74 / 19.59 ± 0.87 | 15.60 ± 1.96 / 33.16 ± 1.77 | 9.81 ± 2.55 / 28.12 ± 2.70 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
ibm-granite/granite-3.0-2b-instruct (few-shot) | 2634 | 49 | 4097 | True | 10,194 ± 2,403 / 2,193 ± 731 | 3.14 | 45.23 ± 3.64 / 37.99 ± 4.03 | 72.76 ± 2.25 / 72.65 ± 2.38 | 11.25 ± 2.04 / 51.22 ± 3.26 | 52.22 ± 0.70 / 59.36 ± 0.78 | 61.56 ± 0.78 / 17.51 ± 0.44 | 18.14 ± 1.00 / 38.28 ± 0.77 | 6.77 ± 1.16 / 28.93 ± 0.94 | 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 | 3.14 | 46.15 ± 2.77 / 24.28 ± 3.74 | 67.17 ± 1.93 / 70.99 ± 1.64 | 5.30 ± 1.62 / 47.01 ± 3.23 | 51.12 ± 1.02 / 57.49 ± 0.81 | 59.20 ± 0.99 / 15.57 ± 0.62 | 21.33 ± 1.03 / 41.04 ± 0.78 | 16.12 ± 1.15 / 36.99 ± 0.85 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
Qwen/Qwen1.5-4B-Chat (few-shot) | 3950 | 152 | 32768 | False | 4,347 ± 893 / 1,135 ± 365 | 3.17 | 40.19 ± 2.97 / 31.88 ± 4.51 | 64.08 ± 2.44 / 69.62 ± 1.29 | 5.43 ± 2.02 / 38.32 ± 2.54 | 53.21 ± 1.08 / 59.57 ± 0.97 | 61.90 ± 0.87 / 17.34 ± 0.52 | 20.95 ± 0.97 / 40.87 ± 0.76 | 16.59 ± 1.45 / 36.76 ± 1.20 | 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 | 3.17 | 52.85 ± 2.76 / 35.11 ± 3.66 | 73.93 ± 1.58 / 73.97 ± 1.19 | 8.27 ± 2.90 / 43.29 ± 4.82 | 48.49 ± 0.77 / 54.50 ± 0.73 | 60.98 ± 0.80 / 16.18 ± 0.48 | 13.69 ± 0.86 / 33.34 ± 0.46 | 5.68 ± 1.13 / 27.99 ± 1.11 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) | 3821 | 32 | 4096 | False | 1,360 ± 179 / 566 ± 190 | 3.18 | 47.81 ± 2.60 / 27.94 ± 5.79 | 68.43 ± 2.12 / 68.82 ± 2.65 | 3.63 ± 1.46 / 43.69 ± 4.56 | 53.03 ± 0.62 / 58.80 ± 0.59 | 56.14 ± 0.47 / 11.16 ± 0.37 | 23.29 ± 1.03 / 42.63 ± 0.76 | 12.06 ± 1.23 / 33.77 ± 0.99 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
google/gemma-2-2b (few-shot) | 2614 | 256 | 8193 | True | 5,235 ± 1,226 / 1,154 ± 366 | 3.19 | 30.45 ± 3.49 / 23.98 ± 3.18 | 76.36 ± 1.10 / 65.98 ± 2.36 | 6.06 ± 2.07 / 49.80 ± 2.71 | 55.19 ± 0.71 / 60.59 ± 0.61 | 63.12 ± 0.69 / 17.92 ± 0.39 | 20.80 ± 0.90 / 40.36 ± 0.78 | 6.24 ± 1.13 / 28.87 ± 1.03 | 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-sw3-40b (few-shot) | 39927 | 64 | 1795 | True | 409 ± 53 / 182 ± 54 | 3.20 | 32.00 ± 3.27 / 17.02 ± 2.03 | 80.44 ± 0.54 / 77.81 ± 1.18 | 10.73 ± 2.53 / 51.37 ± 4.05 | 53.80 ± 0.86 / 60.53 ± 0.78 | 65.16 ± 0.50 / 19.50 ± 0.58 | 8.35 ± 0.95 / 30.38 ± 0.80 | 5.74 ± 1.30 / 28.98 ± 1.13 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.1 | 12.9.1 | 12.9.1 |
ibm-granite/granite-3.0-2b-base (few-shot) | 2534 | 49 | 4097 | True | 10,187 ± 2,363 / 2,204 ± 737 | 3.22 | 36.54 ± 2.70 / 28.79 ± 3.85 | 68.85 ± 5.19 / 70.02 ± 3.95 | 2.60 ± 2.58 / 40.21 ± 4.08 | 54.58 ± 0.89 / 59.78 ± 0.77 | 61.77 ± 1.85 / 17.01 ± 0.69 | 16.19 ± 1.01 / 37.23 ± 0.78 | 14.06 ± 1.52 / 34.80 ± 1.35 | 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-128k-instruct (few-shot) | 3821 | 32 | 130819 | True | 7,312 ± 1,668 / 1,609 ± 525 | 3.23 | 42.36 ± 1.67 / 21.33 ± 2.90 | 51.53 ± 6.32 / 62.14 ± 3.43 | 3.11 ± 1.60 / 47.93 ± 2.93 | 51.11 ± 0.96 / 57.21 ± 0.95 | 59.28 ± 0.86 / 15.52 ± 0.64 | 22.99 ± 1.08 / 42.27 ± 0.81 | 20.19 ± 0.99 / 40.11 ± 0.71 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.10.0 | 12.10.0 | 12.10.0 |
NorwAI/NorwAI-Mistral-7B (few-shot) | 7537 | 68 | 4065 | True | 3,035 ± 503 / 911 ± 300 | 3.24 | 23.88 ± 7.28 / 17.99 ± 3.56 | 80.26 ± 0.89 / 77.89 ± 0.89 | 13.50 ± 2.27 / 52.55 ± 2.86 | 55.02 ± 0.96 / 60.74 ± 0.89 | 64.78 ± 0.63 / 18.68 ± 0.51 | 6.62 ± 0.88 / 27.61 ± 0.74 | 2.66 ± 1.04 / 26.32 ± 0.72 | 12.10.5 | 12.10.4 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
AI-Sweden-Models/gpt-sw3-20b (few-shot) | 20918 | 64 | 2048 | True | 1,875 ± 673 / 261 ± 91 | 3.27 | 31.86 ± 5.09 / 21.95 ± 3.90 | 79.20 ± 1.03 / 79.87 ± 1.11 | 12.26 ± 1.97 / 46.90 ± 4.11 | 53.58 ± 0.97 / 60.28 ± 0.81 | 64.14 ± 0.46 / 18.76 ± 0.39 | 3.15 ± 0.80 / 27.43 ± 0.91 | 2.77 ± 1.26 / 26.43 ± 0.84 | 9.3.1 | 12.10.0 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) | 7800 | 100 | 4096 | True | 6,197 ± 1,118 / 1,730 ± 577 | 3.27 | 42.87 ± 3.17 / 40.34 ± 2.52 | 79.18 ± 0.46 / 76.66 ± 1.44 | 8.65 ± 1.60 / 46.95 ± 3.15 | 51.56 ± 0.79 / 57.58 ± 0.79 | 64.66 ± 0.41 / 18.04 ± 0.38 | 2.37 ± 1.04 / 24.51 ± 0.95 | 0.17 ± 0.83 / 25.26 ± 0.69 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) | 3374 | 49 | 4096 | True | 10,246 ± 3,021 / 1,629 ± 550 | 3.30 | 40.68 ± 2.32 / 24.33 ± 2.43 | 68.96 ± 2.04 / 72.76 ± 1.25 | 4.77 ± 1.97 / 43.64 ± 5.60 | 49.73 ± 0.76 / 56.63 ± 0.69 | 60.93 ± 0.49 / 14.76 ± 0.77 | 13.55 ± 1.27 / 34.97 ± 0.99 | 5.27 ± 1.49 / 27.92 ± 1.10 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
google/gemma-7b-it (few-shot) | 8538 | 256 | 8192 | False | 1,792 ± 249 / 668 ± 203 | 3.31 | 59.26 ± 2.00 / 52.73 ± 2.71 | 28.63 ± 1.24 / 50.95 ± 0.75 | 11.43 ± 1.88 / 53.31 ± 1.74 | 46.67 ± 1.97 / 53.24 ± 1.72 | 63.88 ± 0.30 / 18.58 ± 0.16 | 17.95 ± 1.18 / 36.41 ± 1.02 | 13.55 ± 1.32 / 33.39 ± 1.32 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.10.0 | 12.10.0 | 12.10.0 |
MaLA-LM/emma-500-llama2-7b (few-shot) | 6738 | 32 | 4096 | True | 6,275 ± 1,193 / 1,755 ± 578 | 3.32 | 41.49 ± 2.82 / 38.09 ± 2.86 | 75.64 ± 1.51 / 76.06 ± 1.42 | 0.66 ± 1.97 / 33.73 ± 0.54 | 57.48 ± 0.54 / 63.85 ± 0.46 | 55.94 ± 1.10 / 13.29 ± 0.34 | 10.56 ± 1.14 / 31.45 ± 0.92 | 5.03 ± 1.36 / 28.41 ± 0.76 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
NorwAI/NorwAI-Llama2-7B (few-shot) | 7033 | 68 | 4096 | True | 4,438 ± 1,128 / 1,028 ± 346 | 3.32 | 24.98 ± 2.04 / 25.50 ± 1.92 | 79.36 ± 1.35 / 76.34 ± 3.44 | 5.75 ± 2.23 / 41.27 ± 4.75 | 54.74 ± 0.84 / 60.74 ± 0.65 | 64.60 ± 1.09 / 18.36 ± 0.56 | 3.83 ± 1.03 / 26.46 ± 0.77 | 4.40 ± 1.42 / 28.14 ± 1.05 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
tollefj/nordavind-7b-instruct-warm (few-shot) | 7248 | 33 | 2048 | False | 6,450 ± 961 / 2,082 ± 658 | 3.32 | 47.24 ± 3.36 / 24.94 ± 3.21 | 77.91 ± 1.42 / 76.08 ± 2.54 | 5.55 ± 2.55 / 48.57 ± 3.21 | 51.41 ± 0.74 / 57.55 ± 0.69 | 61.11 ± 1.02 / 17.57 ± 0.33 | 1.49 ± 1.11 / 25.90 ± 0.71 | 3.97 ± 0.92 / 27.45 ± 0.68 | 12.5.2 | 12.3.2 | 12.3.2 | 12.4.0 | 12.4.0 | 12.3.2 | 12.3.2 |
norallm/normistral-7b-warm-instruct (few-shot) | 7248 | 33 | 2048 | True | 6,194 ± 949 / 1,967 ± 619 | 3.33 | 51.45 ± 3.13 / 26.49 ± 3.00 | 63.64 ± 3.74 / 65.08 ± 2.46 | 5.80 ± 1.74 / 51.04 ± 1.54 | 48.95 ± 1.00 / 57.09 ± 0.92 | 62.18 ± 0.57 / 16.32 ± 0.33 | 4.88 ± 0.59 / 25.13 ± 0.54 | 4.63 ± 1.09 / 27.29 ± 1.02 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) | 7111 | 64 | 2048 | True | 2,351 ± 448 / 707 ± 216 | 3.35 | 28.73 ± 3.63 / 20.43 ± 3.72 | 77.47 ± 1.36 / 78.60 ± 1.25 | 8.78 ± 2.01 / 42.28 ± 3.17 | 50.57 ± 0.94 / 56.51 ± 0.79 | 62.41 ± 0.85 / 16.45 ± 0.64 | 5.23 ± 1.02 / 28.63 ± 0.82 | 5.39 ± 0.81 / 28.86 ± 0.60 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 | 11.0.0 | 9.2.0 | 9.2.0 |
LumiOpen/Viking-33B@1000B (few-shot) | 33119 | 131 | 4099 | True | 2,080 ± 700 / 331 ± 117 | 3.36 | 42.35 ± 1.51 / 28.31 ± 3.87 | 77.68 ± 1.11 / 78.86 ± 0.93 | 8.08 ± 1.69 / 50.52 ± 2.25 | 54.57 ± 1.25 / 60.34 ± 1.10 | 58.30 ± 1.94 / 14.29 ± 0.83 | 1.73 ± 1.04 / 24.98 ± 0.69 | -0.32 ± 1.25 / 25.53 ± 0.82 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 |
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) | 20918 | 64 | 2048 | True | 1,831 ± 587 / 268 ± 90 | 3.40 | 15.70 ± 1.54 / 14.65 ± 1.52 | 68.23 ± 3.81 / 71.17 ± 3.07 | 12.39 ± 1.39 / 50.99 ± 3.37 | 52.04 ± 0.97 / 60.86 ± 0.77 | 65.44 ± 0.22 / 19.75 ± 0.32 | 6.86 ± 0.91 / 29.83 ± 1.12 | 6.92 ± 0.75 / 28.96 ± 0.67 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
norallm/normistral-7b-warm (few-shot) | 7248 | 33 | 2048 | True | 3,175 ± 456 / 1,186 ± 354 | 3.41 | 48.78 ± 5.08 / 26.81 ± 3.42 | 76.09 ± 1.23 / 74.78 ± 1.97 | 2.53 ± 2.80 / 47.37 ± 2.29 | 48.93 ± 0.97 / 55.09 ± 0.85 | 57.49 ± 2.27 / 16.17 ± 0.78 | 1.28 ± 1.28 / 23.12 ± 0.63 | 1.27 ± 0.61 / 25.74 ± 0.70 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 |
meta-llama/Llama-3.2-1B-Instruct (few-shot) | 1236 | 128 | 131073 | False | 7,436 ± 1,846 / 1,508 ± 479 | 3.43 | 41.60 ± 2.74 / 37.22 ± 3.26 | 71.86 ± 2.01 / 71.15 ± 2.16 | 3.72 ± 1.40 / 48.04 ± 1.96 | 43.57 ± 1.35 / 52.90 ± 1.42 | 56.69 ± 0.79 / 13.27 ± 0.37 | 14.64 ± 0.91 / 35.56 ± 0.80 | 3.10 ± 0.87 / 26.60 ± 0.68 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
LumiOpen/Viking-13B (few-shot) | 14030 | 131 | 4097 | True | 840 ± 79 / 400 ± 124 | 3.45 | 31.55 ± 4.67 / 18.37 ± 2.73 | 78.66 ± 1.03 / 78.34 ± 1.13 | 5.69 ± 2.24 / 44.98 ± 3.55 | 52.93 ± 1.30 / 57.87 ± 1.27 | 60.05 ± 1.20 / 13.94 ± 0.43 | 1.32 ± 1.02 / 23.28 ± 0.65 | 0.35 ± 0.66 / 25.33 ± 0.66 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
stabilityai/stablelm-2-1_6b (few-shot) | 1645 | 100 | 4096 | True | 7,259 ± 2,120 / 1,240 ± 432 | 3.45 | 38.00 ± 4.39 / 29.74 ± 5.04 | 75.15 ± 0.55 / 61.46 ± 0.82 | 1.04 ± 2.08 / 34.49 ± 1.17 | 53.11 ± 0.53 / 58.91 ± 0.32 | 55.63 ± 1.02 / 13.45 ± 0.61 | 8.72 ± 0.93 / 30.92 ± 0.72 | 3.19 ± 0.62 / 26.88 ± 0.62 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 |
ibm-granite/granite-3.0-3b-a800m-base (few-shot) | 3374 | 49 | 4096 | True | 10,504 ± 3,028 / 1,678 ± 559 | 3.47 | 36.01 ± 3.07 / 24.61 ± 4.22 | 57.18 ± 5.33 / 62.72 ± 5.30 | 1.52 ± 2.14 / 38.30 ± 3.62 | 51.04 ± 0.95 / 56.97 ± 0.96 | 58.57 ± 0.73 / 15.09 ± 0.29 | 13.42 ± 0.96 / 34.81 ± 0.72 | 7.33 ± 1.70 / 29.31 ± 1.45 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
google/gemma-2b (few-shot) | 2506 | 256 | 8192 | True | 6,087 ± 1,046 / 1,902 ± 563 | 3.52 | 14.67 ± 4.71 / 14.85 ± 3.77 | 75.45 ± 1.10 / 64.08 ± 1.47 | 3.82 ± 1.23 / 44.81 ± 3.55 | 51.73 ± 0.88 / 57.35 ± 0.82 | 59.72 ± 1.46 / 15.26 ± 0.64 | 10.98 ± 0.98 / 31.92 ± 0.80 | 4.24 ± 0.47 / 27.53 ± 0.44 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 |
ibm-granite/granite-7b-base (few-shot) | 6738 | 32 | 2048 | True | 4,405 ± 1,098 / 1,032 ± 345 | 3.52 | 33.34 ± 3.41 / 30.50 ± 3.44 | 72.00 ± 1.15 / 69.12 ± 2.00 | 0.25 ± 1.72 / 43.46 ± 3.96 | 52.53 ± 1.03 / 57.96 ± 0.98 | 52.86 ± 1.75 / 11.38 ± 0.57 | 11.71 ± 0.83 / 32.71 ± 0.95 | 0.81 ± 0.88 / 25.27 ± 0.59 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.8 | 12.10.8 | 12.10.8 |
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) | 7111 | 64 | 2048 | True | 2,383 ± 451 / 718 ± 221 | 3.53 | 14.58 ± 1.30 / 14.79 ± 1.27 | 56.60 ± 3.37 / 62.73 ± 3.61 | 10.92 ± 1.83 / 52.63 ± 2.98 | 50.18 ± 0.54 / 57.90 ± 0.53 | 64.89 ± 0.15 / 18.79 ± 0.22 | 6.16 ± 0.81 / 28.35 ± 0.97 | 10.90 ± 0.86 / 32.01 ± 0.54 | 9.2.0 | 9.2.0 | 9.2.0 | 12.4.0 | 12.4.0 | 9.2.0 | 9.3.1 |
HPLT/gpt-33b-nordic-prerelease (few-shot) | 33119 | 131 | 4099 | True | 501 ± 50 / 238 ± 69 | 3.55 | 33.61 ± 6.02 / 22.18 ± 4.32 | 76.75 ± 1.17 / 74.66 ± 1.20 | 1.66 ± 1.36 / 33.60 ± 0.30 | 50.68 ± 1.94 / 56.96 ± 1.73 | 56.37 ± 1.71 / 12.78 ± 0.63 | -0.31 ± 0.91 / 25.20 ± 0.62 | -0.04 ± 0.62 / 25.05 ± 0.50 | 12.9.1 | 12.9.1 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 |
HuggingFaceTB/SmolLM2-1.7B (few-shot) | 1711 | 49 | 8192 | True | 16,249 ± 3,690 / 3,689 ± 1,226 | 3.55 | 35.96 ± 3.50 / 26.41 ± 4.11 | 68.31 ± 1.43 / 72.51 ± 1.03 | 3.61 ± 1.79 / 49.47 ± 1.68 | 43.26 ± 1.85 / 49.32 ± 1.97 | 57.04 ± 0.95 / 13.24 ± 1.09 | 10.86 ± 1.20 / 31.65 ± 1.09 | 2.53 ± 0.98 / 26.17 ± 0.78 | 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-Instruct (few-shot) | 1711 | 49 | 8192 | True | 15,971 ± 3,654 / 3,609 ± 1,197 | 3.57 | 37.37 ± 1.87 / 26.31 ± 3.34 | 64.46 ± 3.06 / 69.83 ± 2.00 | 4.49 ± 1.96 / 46.63 ± 4.39 | 43.92 ± 1.06 / 49.57 ± 1.17 | 54.50 ± 1.26 / 12.92 ± 0.48 | 8.61 ± 1.25 / 29.95 ± 1.28 | 4.51 ± 0.96 / 27.64 ± 0.87 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
LumiOpen/Viking-7B (few-shot) | 7550 | 131 | 4096 | True | 4,969 ± 1,109 / 1,134 ± 374 | 3.59 | 30.64 ± 4.19 / 23.90 ± 3.44 | 72.02 ± 3.18 / 72.36 ± 3.96 | 1.08 ± 1.36 / 38.63 ± 3.03 | 48.72 ± 1.05 / 54.59 ± 1.10 | 57.93 ± 2.32 / 13.16 ± 1.05 | 1.14 ± 0.79 / 22.39 ± 0.53 | 1.13 ± 1.01 / 25.61 ± 0.65 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
HPLT/gpt-13b-nordic-prerelease (few-shot) | 14030 | 131 | 4099 | True | 3,520 ± 736 / 823 ± 273 | 3.60 | 32.19 ± 4.64 / 24.93 ± 4.09 | 72.26 ± 6.90 / 72.58 ± 5.87 | 2.39 ± 1.29 / 48.49 ± 2.46 | 48.92 ± 2.28 / 53.44 ± 2.49 | 57.46 ± 1.64 / 13.21 ± 0.57 | -0.49 ± 0.50 / 25.03 ± 0.45 | 0.50 ± 1.04 / 25.50 ± 0.72 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) | 1445 | 64 | 2048 | True | 4,544 ± 1,000 / 1,106 ± 359 | 3.61 | 19.04 ± 2.67 / 19.98 ± 2.64 | 73.34 ± 1.34 / 68.41 ± 2.31 | 2.90 ± 1.74 / 44.43 ± 4.49 | 47.45 ± 0.58 / 54.69 ± 0.56 | 63.33 ± 0.86 / 17.11 ± 0.61 | 0.65 ± 1.12 / 25.94 ± 0.76 | -0.18 ± 0.36 / 24.70 ± 0.60 | 12.5.2 | 9.3.1 | 12.1.0 | 12.4.0 | 12.4.0 | 12.1.0 | 12.1.0 |
NorwAI/NorwAI-Mistral-7B-instruct (few-shot) | 7537 | 68 | 4065 | False | 3,027 ± 503 / 903 ± 296 | 3.62 | 20.97 ± 2.51 / 16.21 ± 2.03 | 77.76 ± 0.75 / 67.99 ± 2.31 | 2.35 ± 1.63 / 38.48 ± 1.53 | 28.65 ± 2.11 / 38.84 ± 1.85 | 63.75 ± 0.70 / 17.94 ± 0.22 | 9.17 ± 0.61 / 31.89 ± 0.41 | 3.98 ± 1.37 / 26.35 ± 1.13 | 12.10.5 | 12.10.4 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
ibm-granite/granite-3b-code-base-2k (few-shot) | 3483 | 49 | 2048 | True | 2,732 ± 868 / 662 ± 238 | 3.62 | 51.76 ± 4.53 / 41.73 ± 6.65 | 70.61 ± 1.12 / 60.47 ± 1.13 | 6.24 ± 3.11 / 46.34 ± 5.43 | 44.67 ± 1.34 / 50.56 ± 1.33 | 41.31 ± 2.13 / 7.20 ± 1.44 | 7.41 ± 0.75 / 30.14 ± 0.39 | 5.42 ± 0.79 / 29.15 ± 0.59 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
Qwen/Qwen1.5-4B (few-shot) | 3950 | 152 | 32768 | True | 3,248 ± 739 / 761 ± 252 | 3.64 | 37.26 ± 4.28 / 29.89 ± 5.96 | 5.20 ± 7.35 / 30.65 ± 4.97 | 1.85 ± 1.54 / 33.71 ± 0.46 | 54.15 ± 0.58 / 60.15 ± 0.59 | 58.24 ± 1.76 / 16.02 ± 0.88 | 22.04 ± 0.60 / 41.36 ± 0.54 | 14.76 ± 1.28 / 35.27 ± 1.32 | 12.5.2 | 9.3.2 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 |
ibm-granite/granite-3b-code-instruct-2k (few-shot) | 3483 | 49 | 2048 | True | 9,059 ± 1,947 / 2,201 ± 728 | 3.65 | 50.10 ± 4.30 / 42.80 ± 5.47 | 65.67 ± 3.92 / 64.00 ± 3.84 | 4.55 ± 2.18 / 45.11 ± 4.32 | 42.83 ± 1.02 / 49.35 ± 1.09 | 45.16 ± 0.70 / 11.84 ± 0.27 | 7.58 ± 0.88 / 28.54 ± 0.85 | 3.79 ± 0.85 / 27.39 ± 0.57 | 13.0.0 | 13.0.0 | 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 | 3.66 | 20.94 ± 3.73 / 18.26 ± 2.84 | 52.54 ± 3.33 / 60.44 ± 3.13 | 0.34 ± 1.22 / 36.61 ± 1.57 | 43.55 ± 1.14 / 50.53 ± 1.40 | 61.19 ± 0.69 / 15.92 ± 0.24 | 10.74 ± 0.92 / 32.65 ± 0.68 | 4.83 ± 0.62 / 28.76 ± 0.55 | 12.5.2 | 11.0.0 | 12.1.0 | 12.5.0 | 12.5.0 | 12.1.0 | 12.1.0 |
meta-llama/Llama-3.2-1B (few-shot) | 1236 | 128 | 131073 | True | 7,577 ± 1,884 / 1,555 ± 492 | 3.69 | 29.89 ± 7.13 / 27.65 ± 6.45 | 74.33 ± 1.07 / 73.73 ± 1.77 | 1.06 ± 1.79 / 43.95 ± 3.08 | 46.89 ± 2.72 / 52.70 ± 3.39 | 52.06 ± 2.11 / 12.53 ± 0.81 | 0.93 ± 1.44 / 26.10 ± 1.04 | 0.09 ± 1.37 / 24.84 ± 0.69 | 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-sw3-6.7b (few-shot) | 7111 | 64 | 2048 | True | 2,285 ± 443 / 671 ± 205 | 3.72 | 18.83 ± 6.41 / 17.59 ± 4.55 | 53.68 ± 10.39 / 58.92 ± 10.87 | 3.49 ± 2.20 / 46.13 ± 4.13 | 49.81 ± 0.70 / 55.99 ± 0.69 | 61.05 ± 1.33 / 15.89 ± 0.85 | 1.22 ± 0.65 / 26.19 ± 0.64 | 0.60 ± 1.34 / 25.62 ± 0.72 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 |
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) | 1445 | 64 | 2048 | True | 4,608 ± 988 / 1,115 ± 354 | 3.74 | 6.08 ± 5.75 / 8.77 ± 4.46 | 71.38 ± 1.76 / 73.21 ± 1.18 | 1.17 ± 1.07 / 49.78 ± 0.86 | 45.55 ± 0.85 / 51.69 ± 0.79 | 60.11 ± 1.59 / 15.02 ± 0.84 | 2.20 ± 0.88 / 25.62 ± 0.86 | 0.67 ± 1.39 / 25.25 ± 0.51 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 | 11.0.0 | 9.3.1 | 9.3.1 |
Qwen/Qwen1.5-1.8B (few-shot) | 1837 | 152 | 32768 | True | 5,666 ± 1,328 / 1,256 ± 408 | 3.75 | 18.01 ± 6.41 / 18.55 ± 4.65 | 51.91 ± 4.78 / 59.44 ± 4.65 | 1.49 ± 1.95 / 40.76 ± 4.07 | 44.83 ± 0.63 / 51.87 ± 0.72 | 54.82 ± 1.62 / 14.43 ± 0.68 | 11.54 ± 0.73 / 32.55 ± 0.60 | 7.19 ± 1.40 / 29.76 ± 1.22 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 |
HPLT/gpt-7b-nordic-prerelease (few-shot) | 7550 | 131 | 4096 | True | 5,404 ± 931 / 1,638 ± 542 | 3.76 | 27.07 ± 6.33 / 25.24 ± 4.89 | 61.96 ± 2.69 / 67.81 ± 2.27 | 2.65 ± 1.46 / 40.25 ± 4.08 | 46.16 ± 0.91 / 52.35 ± 0.87 | 55.11 ± 1.21 / 12.07 ± 0.32 | 0.32 ± 0.43 / 21.99 ± 0.56 | -0.00 ± 0.01 / 25.00 ± 0.77 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 |
state-spaces/mamba-2.8b-hf (few-shot) | 2768 | 50 | 32769 | True | 2,722 ± 495 / 766 ± 250 | 3.81 | 23.25 ± 1.99 / 20.55 ± 2.20 | 71.70 ± 1.09 / 71.01 ± 2.36 | -0.82 ± 2.23 / 40.80 ± 4.30 | 40.48 ± 1.52 / 46.93 ± 1.61 | 54.39 ± 1.68 / 13.19 ± 0.61 | -0.43 ± 1.13 / 24.95 ± 0.64 | 1.98 ± 0.99 / 26.14 ± 0.86 | 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-sw3-356m-instruct (few-shot) | 471 | 64 | 2048 | True | 5,855 ± 1,373 / 1,223 ± 391 | 3.89 | 14.84 ± 1.63 / 15.90 ± 1.71 | 59.00 ± 3.60 / 54.09 ± 1.46 | 0.06 ± 1.21 / 34.76 ± 1.15 | 34.37 ± 1.36 / 40.44 ± 1.53 | 61.28 ± 0.92 / 14.60 ± 0.79 | 0.48 ± 1.07 / 23.44 ± 0.67 | 0.33 ± 0.50 / 25.01 ± 0.76 | 12.5.2 | 9.3.2 | 12.1.0 | 12.4.0 | 12.4.0 | 12.1.0 | 12.1.0 |
allenai/OLMo-7B (few-shot) | 6888 | 50 | 2051 | True | 5,403 ± 1,133 / 1,294 ± 423 | 3.89 | 37.36 ± 2.11 / 28.59 ± 3.03 | 72.08 ± 1.20 / 63.52 ± 3.36 | -0.86 ± 1.61 / 33.84 ± 0.59 | 45.16 ± 0.96 / 51.46 ± 0.93 | 41.03 ± 0.33 / 4.86 ± 0.09 | -0.83 ± 1.04 / 25.47 ± 0.54 | -0.62 ± 0.73 / 24.51 ± 0.53 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
norallm/normistral-7b-scratch (few-shot) | 7248 | 33 | 2048 | True | 3,192 ± 454 / 1,198 ± 357 | 3.91 | 13.79 ± 8.46 / 14.43 ± 7.23 | 71.59 ± 2.78 / 59.82 ± 1.71 | -0.89 ± 1.22 / 43.82 ± 3.45 | 38.33 ± 1.79 / 44.00 ± 1.70 | 55.77 ± 0.83 / 14.15 ± 0.51 | -0.39 ± 1.21 / 22.30 ± 0.78 | -0.52 ± 1.01 / 25.20 ± 0.85 | 10.0.0 | 10.0.0 | 10.0.0 | 10.0.0 | 11.0.0 | 10.0.1 | 10.0.1 |
mhenrichsen/danskgpt-tiny-chat (few-shot) | 1100 | 32 | 2048 | False | 1,745 ± 978 / 686 ± 159 | 3.94 | 27.31 ± 4.23 / 26.33 ± 4.40 | 45.94 ± 12.82 / 55.94 ± 8.25 | -0.97 ± 1.64 / 36.69 ± 2.34 | 35.57 ± 2.45 / 41.66 ± 2.41 | 55.79 ± 0.24 / 10.61 ± 0.29 | 0.14 ± 1.02 / 24.76 ± 0.75 | 0.52 ± 0.83 / 25.53 ± 0.62 | 9.1.2 | 9.1.2 | 9.1.2 | 12.4.0 | 12.4.0 | 9.1.2 | 9.1.2 |
allenai/OLMo-7B-Twin-2T (few-shot) | 6888 | 50 | 2051 | True | 5,484 ± 1,125 / 1,317 ± 425 | 4.00 | 20.49 ± 7.78 / 19.50 ± 6.82 | 70.04 ± 2.28 / 60.77 ± 3.00 | 2.28 ± 1.77 / 36.86 ± 3.97 | 45.85 ± 1.19 / 51.08 ± 1.21 | 39.53 ± 0.34 / 5.71 ± 0.10 | 0.69 ± 0.90 / 24.20 ± 0.89 | 0.12 ± 1.51 / 24.97 ± 1.28 | 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) | unknown | 32 | 4096 | False | 10,890 ± 2,686 / 2,186 ± 750 | 4.02 | 22.38 ± 3.00 / 22.09 ± 2.85 | 31.11 ± 12.17 / 36.84 ± 11.52 | 0.09 ± 0.67 / 33.42 ± 0.30 | 44.36 ± 1.34 / 50.14 ± 1.15 | 55.44 ± 0.79 / 12.95 ± 0.51 | 1.12 ± 0.42 / 25.27 ± 0.68 | -0.91 ± 0.96 / 24.26 ± 0.64 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 11.0.0 | 9.3.1 | 9.3.1 |
google/gemma-2b-it (few-shot) | 2506 | 256 | 8192 | False | 6,471 ± 1,142 / 1,961 ± 584 | 4.04 | 33.51 ± 2.12 / 23.48 ± 2.69 | 43.97 ± 1.64 / 57.41 ± 1.18 | 0.53 ± 1.09 / 39.60 ± 1.99 | 39.39 ± 1.04 / 47.28 ± 1.02 | 40.55 ± 6.41 / 11.10 ± 1.63 | 11.06 ± 0.98 / 31.69 ± 0.81 | 1.03 ± 0.85 / 25.55 ± 0.60 | 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 (few-shot) | 620 | 152 | 32768 | True | 11,371 ± 2,924 / 2,122 ± 692 | 4.06 | 28.96 ± 2.39 / 26.49 ± 3.14 | 26.58 ± 5.12 / 28.64 ± 5.35 | -1.88 ± 1.46 / 35.45 ± 2.92 | 34.59 ± 1.06 / 40.95 ± 1.11 | 53.36 ± 1.44 / 12.82 ± 0.58 | 6.52 ± 1.02 / 28.83 ± 0.78 | 1.91 ± 1.30 / 26.10 ± 0.65 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 |
NbAiLab/nb-gpt-j-6B-alpaca (few-shot) | 6055 | 50 | 1024 | False | 2,607 ± 592 / 680 ± 208 | 4.11 | 13.28 ± 4.32 / 13.40 ± 2.95 | 60.17 ± 8.39 / 65.99 ± 4.66 | 1.52 ± 1.94 / 45.19 ± 3.80 | 37.23 ± 1.07 / 46.83 ± 0.82 | 46.68 ± 0.33 / 12.40 ± 0.17 | -0.03 ± 1.31 / 23.73 ± 1.11 | 0.02 ± 0.88 / 25.04 ± 0.61 | 9.3.1 | 10.0.1 | 10.0.1 | 12.4.0 | 12.4.0 | 10.0.1 | 10.0.1 |
AI-Sweden-Models/gpt-sw3-356m (few-shot) | 471 | 64 | 2048 | True | 5,758 ± 1,348 / 1,215 ± 391 | 4.12 | 23.77 ± 3.70 / 23.06 ± 3.46 | 34.29 ± 11.64 / 36.76 ± 7.46 | 1.57 ± 1.70 / 40.84 ± 1.99 | 33.70 ± 1.46 / 38.82 ± 1.54 | 51.36 ± 2.01 / 10.76 ± 0.54 | -0.96 ± 1.08 / 21.85 ± 0.45 | 0.30 ± 0.48 / 25.10 ± 0.69 | 9.3.1 | 9.3.1 | 9.3.2 | 12.5.1 | 11.0.0 | 9.3.2 | 9.3.2 |
Qwen/Qwen1.5-0.5B-Chat (few-shot) | 620 | 152 | 32768 | False | 11,740 ± 3,000 / 2,209 ± 721 | 4.13 | 18.57 ± 4.62 / 17.69 ± 4.61 | 40.23 ± 5.86 / 49.01 ± 4.77 | 0.21 ± 1.06 / 39.60 ± 3.61 | 29.49 ± 2.47 / 35.01 ± 2.72 | 53.29 ± 6.52 / 13.04 ± 1.68 | 2.59 ± 0.72 / 26.87 ± 0.72 | -0.84 ± 1.01 / 24.44 ± 0.61 | 12.5.2 | 11.0.0 | 12.1.0 | 12.4.0 | 12.5.0 | 12.1.0 | 12.1.0 |
mhenrichsen/danskgpt-tiny (few-shot) | 1100 | 32 | 2048 | True | 8,597 ± 1,983 / 1,926 ± 600 | 4.18 | 23.92 ± 6.88 / 22.42 ± 6.73 | 31.93 ± 14.68 / 43.80 ± 8.79 | 0.46 ± 1.91 / 43.45 ± 3.64 | 30.81 ± 2.73 / 35.67 ± 2.95 | 52.68 ± 0.76 / 11.19 ± 0.36 | -0.85 ± 1.05 / 24.38 ± 0.51 | -1.24 ± 0.90 / 24.30 ± 0.63 | 0.0.0 | 0.0.0 | 0.0.0 | 12.5.1 | 11.0.0 | 0.0.0 | 0.0.0 |
AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) | 186 | 64 | 2048 | True | 7,717 ± 1,553 / 2,013 ± 625 | 4.26 | 23.05 ± 2.31 / 24.35 ± 1.99 | 12.47 ± 7.10 / 23.03 ± 8.78 | 0.08 ± 0.16 / 33.34 ± 0.30 | 20.43 ± 2.69 / 24.25 ± 2.67 | 59.80 ± 0.93 / 14.56 ± 0.36 | 0.72 ± 0.72 / 23.30 ± 0.96 | 0.11 ± 0.91 / 25.15 ± 0.81 | 9.3.2 | 9.3.2 | 11.0.0 | 12.4.0 | 12.4.0 | 11.0.0 | 11.0.0 |
allenai/OLMo-1B (few-shot) | 1177 | 50 | 2051 | True | 8,536 ± 1,926 / 1,940 ± 619 | 4.33 | 29.39 ± 3.08 / 29.93 ± 3.14 | 38.95 ± 11.78 / 43.61 ± 8.46 | -1.35 ± 1.76 / 40.70 ± 4.25 | 17.85 ± 3.77 / 20.30 ± 4.04 | 43.75 ± 0.28 / 4.67 ± 0.12 | -0.22 ± 0.80 / 23.76 ± 0.84 | 0.75 ± 1.00 / 25.27 ± 0.56 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 | 12.1.0 |
HuggingFaceTB/SmolLM2-360M (few-shot) | 362 | 49 | 8192 | True | 22,023 ± 6,203 / 3,675 ± 1,231 | 4.45 | 18.22 ± 1.75 / 17.97 ± 2.10 | 11.52 ± 7.20 / 29.30 ± 5.30 | 1.72 ± 1.21 / 34.96 ± 1.12 | 27.27 ± 3.03 / 31.25 ± 3.24 | 45.57 ± 0.97 / 9.20 ± 0.68 | 0.69 ± 0.65 / 22.10 ± 0.54 | 0.68 ± 0.79 / 25.25 ± 0.76 | 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 | 4.54 | 0.00 ± 0.00 / 0.00 ± 0.00 | 34.63 ± 9.69 / 40.92 ± 6.88 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 8.92 ± 2.90 | 59.04 ± 0.07 / 10.84 ± 0.09 | -0.25 ± 0.97 / 21.96 ± 0.57 | 0.08 ± 0.78 / 24.93 ± 0.77 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 | 11.0.0 | 9.3.1 | 9.3.1 |
HuggingFaceTB/SmolLM2-135M (few-shot) | 135 | 49 | 8192 | True | 26,346 ± 7,812 / 4,082 ± 1,372 | 4.61 | 19.15 ± 1.75 / 20.52 ± 1.77 | -3.03 ± 7.40 / 24.39 ± 3.87 | 0.06 ± 1.12 / 36.05 ± 2.59 | 14.18 ± 3.82 / 16.55 ± 4.25 | 51.51 ± 1.96 / 11.46 ± 0.73 | 0.02 ± 1.30 / 25.25 ± 0.94 | 0.04 ± 0.79 / 24.92 ± 0.73 | 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-pretrain (few-shot) | 7537 | 68 | 4065 | True | 3,024 ± 496 / 909 ± 301 | 4.61 | 9.75 ± 3.30 / 9.18 ± 3.19 | 17.76 ± 4.89 / 28.16 ± 7.50 | 1.22 ± 0.95 / 43.54 ± 3.79 | 14.98 ± 2.49 / 18.46 ± 2.99 | 48.74 ± 1.72 / 10.30 ± 0.36 | -0.62 ± 1.15 / 22.04 ± 0.67 | 0.99 ± 1.35 / 25.36 ± 0.92 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
RJuro/kanelsnegl-v0.2 (few-shot) | 7242 | 32 | 512 | True | 1,373 ± 120 / 709 ± 172 | 4.61 | 0.00 ± 0.00 / 0.00 ± 0.00 | 28.62 ± 12.67 / 35.36 ± 8.35 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 19.59 ± 6.84 | 58.16 ± 0.07 / 8.81 ± 0.07 | 0.47 ± 0.86 / 22.03 ± 0.59 | 0.71 ± 0.64 / 25.02 ± 0.72 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 11.0.0 | 10.0.1 | 11.0.0 |
AI-Sweden-Models/gpt-sw3-126m (few-shot) | 186 | 64 | 2048 | True | 8,958 ± 1,815 / 2,240 ± 696 | 4.62 | 5.66 ± 4.11 / 8.37 ± 3.24 | 8.15 ± 8.87 / 24.31 ± 7.12 | -0.81 ± 1.16 / 36.81 ± 2.47 | 16.40 ± 2.88 / 19.18 ± 3.18 | 51.48 ± 1.14 / 10.63 ± 0.31 | -0.49 ± 0.60 / 22.53 ± 0.75 | 1.17 ± 0.86 / 25.54 ± 0.87 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 | 11.0.0 | 9.2.0 | 9.2.0 |
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) | 362 | 49 | 8192 | True | 21,777 ± 6,115 / 3,617 ± 1,211 | 4.71 | 13.64 ± 5.84 / 16.38 ± 4.06 | 9.34 ± 6.26 / 26.00 ± 3.56 | 2.20 ± 1.59 / 41.62 ± 3.37 | 26.06 ± 2.35 / 30.05 ± 2.29 | 37.49 ± 0.77 / 9.36 ± 0.25 | -0.00 ± 0.96 / 22.03 ± 0.45 | 0.78 ± 1.51 / 25.50 ± 0.87 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) | 135 | 49 | 8192 | True | 25,602 ± 7,583 / 3,953 ± 1,325 | 4.80 | 17.09 ± 2.33 / 18.78 ± 2.11 | 7.41 ± 9.32 / 28.42 ± 3.18 | 0.47 ± 1.48 / 38.19 ± 3.61 | 11.73 ± 3.22 / 13.94 ± 3.48 | 38.30 ± 1.88 / 8.09 ± 0.47 | 0.30 ± 0.87 / 25.76 ± 0.77 | 0.06 ± 1.19 / 24.33 ± 0.53 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
NbAiLab/nb-gpt-j-6B-v2 (few-shot) | 6051 | 50 | 1024 | False | 2,556 ± 580 / 681 ± 214 | 4.94 | 0.31 ± 0.55 / 0.29 ± 0.50 | 27.42 ± 12.16 / 38.74 ± 10.05 | 0.07 ± 1.06 / 35.80 ± 1.73 | 17.82 ± 11.21 / 31.12 ± 8.39 | 27.09 ± 0.29 / 6.80 ± 0.12 | -0.67 ± 0.81 / 22.55 ± 0.71 | 0.86 ± 0.82 / 25.38 ± 0.51 | 9.3.1 | 10.0.1 | 11.0.0 | 12.5.1 | 11.0.0 | 11.0.0 | 11.0.0 |
peter-sk/gpt-neox-da (few-shot) | 1515 | 50 | 1024 | True | 6,025 ± 1,442 / 1,342 ± 431 | 4.96 | 0.26 ± 0.16 / 0.26 ± 0.14 | 4.75 ± 2.54 / 27.85 ± 1.59 | -0.60 ± 1.56 / 40.53 ± 2.93 | 0.06 ± 0.09 / 1.07 ± 0.35 | 41.84 ± 0.24 / 5.74 ± 0.09 | -0.41 ± 1.39 / 24.48 ± 0.97 | 0.52 ± 0.81 / 25.32 ± 0.65 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 11.0.0 | 10.0.1 | 10.0.1 |
NbAiLab/nb-gpt-j-6B@sharded (few-shot) | unknown | 50 | 1024 | True | 2,630 ± 605 / 684 ± 217 | 5.02 | 0.01 ± 0.02 / 0.11 ± 0.12 | 33.50 ± 13.13 / 39.30 ± 11.93 | -0.02 ± 0.60 / 34.92 ± 2.99 | 4.79 ± 3.55 / 18.06 ± 2.80 | 26.97 ± 0.41 / 6.56 ± 0.18 | -0.11 ± 1.16 / 23.32 ± 0.92 | 0.56 ± 1.22 / 24.79 ± 0.91 | 9.3.1 | 10.0.1 | 10.0.1 | 12.5.1 | 11.0.0 | 10.0.1 | 10.0.1 |
NorGLM/NorGPT-369M (few-shot) | unknown | 64 | 1024 | True | 19,896 ± 5,099 / 3,848 ± 1,251 | 5.05 | 1.47 ± 1.90 / 1.32 ± 1.69 | 5.50 ± 4.49 / 28.77 ± 3.76 | -2.19 ± 1.29 / 40.52 ± 3.02 | 0.10 ± 0.06 / 4.36 ± 0.44 | 37.40 ± 0.61 / 6.53 ± 0.13 | -0.53 ± 1.01 / 24.38 ± 1.08 | 0.25 ± 1.22 / 25.23 ± 0.73 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
ssmits/Falcon2-5.5B-multilingual (few-shot) | 5465 | 65 | 8192 | True | 7,692 ± 1,423 / 1,960 ± 644 | 5.07 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 19.16 ± 0.14 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 0.00 ± 0.00 | 40.82 ± 1.17 / 0.34 ± 0.05 | 1.19 ± 1.32 / 24.74 ± 1.06 | 1.55 ± 0.84 / 25.30 ± 0.69 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
Sigurdur/icebreaker (few-shot) | 110 | 32 | 1024 | False | 48,619 ± 7,681 / 13,831 ± 4,404 | 5.14 | 0.00 ± 0.00 / 0.00 ± 0.00 | -3.60 ± 3.63 / 20.29 ± 1.99 | 0.00 ± 0.00 / 33.30 ± 0.27 | 0.00 ± 0.00 / 0.05 ± 0.03 | 39.68 ± 0.08 / 1.23 ± 0.02 | -0.20 ± 0.77 / 24.13 ± 0.67 | -0.25 ± 0.67 / 24.68 ± 0.44 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
ai-forever/mGPT (few-shot) | unknown | 100 | 1024 | True | 11,734 ± 3,124 / 2,174 ± 720 | 5.17 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 19.32 ± 0.16 | 0.49 ± 1.29 / 39.12 ± 3.92 | 6.24 ± 3.13 / 7.85 ± 3.67 | 31.89 ± 0.27 / 2.03 ± 0.10 | -0.37 ± 1.08 / 22.43 ± 0.55 | 0.36 ± 0.83 / 25.08 ± 0.77 | 9.3.1 | 10.0.1 | 11.0.0 | 12.5.1 | 12.0.0 | 11.0.0 | 11.0.0 |