| layout | title |
|---|---|
leaderboard |
Danish NLG 🇩🇰 |
Include merged models
| Model ID | Parameters | Vocabulary size | Context | Commercial | Speed | Rank | DANSK | Angry Tweets | ScaLA-da | ScandiQA-da | Nordjylland-News | Danske Talemaader | Danish Citizen Tests | HellaSwag-da | DANSK version | Angry Tweets version | ScaLA-da version | ScandiQA-da version | Nordjylland-News version | Danske Talemaader version | Danish Citizen Tests version | HellaSwag-da version |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| gpt-4-0613 (few-shot, val) | unknown | 100 | 8192 | True | 597 ± 197 / 93 ± 33 | 1.16 | 64.94 ± 1.96 / 45.76 ± 3.31 | 59.97 ± 2.65 / 73.06 ± 1.77 | 71.56 ± 2.49 / 85.36 ± 1.29 | 56.43 ± 2.98 / 68.46 ± 1.64 | 66.76 ± 0.34 / 18.99 ± 0.52 | 94.93 ± 1.03 / 96.21 ± 0.77 | 93.98 ± 2.15 / 95.94 ± 1.44 | 81.64 ± 1.80 / 86.17 ± 1.34 | 0.0.0 | 0.0.0 | 0.0.0 | 12.9.0 | 12.6.1 | 10.0.1 | 10.0.1 | 9.1.2 |
| gpt-4-1106-preview (few-shot, val) | unknown | 100 | 128000 | True | 576 ± 221 / 81 ± 28 | 1.20 | 66.80 ± 3.01 / 45.69 ± 2.85 | 61.62 ± 2.17 / 73.99 ± 1.48 | 66.84 ± 3.27 / 82.79 ± 1.86 | 56.85 ± 2.62 / 68.83 ± 1.50 | 66.21 ± 0.44 / 18.02 ± 0.61 | 95.21 ± 0.55 / 96.41 ± 0.41 | 97.19 ± 1.15 / 98.12 ± 0.76 | 78.74 ± 3.12 / 83.91 ± 2.42 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.2 |
| gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 1.26 | 71.15 ± 2.89 / 52.24 ± 3.76 | 49.42 ± 3.29 / 61.74 ± 2.59 | 64.59 ± 2.97 / 79.93 ± 1.88 | 57.35 ± 2.51 / 67.87 ± 1.75 | 66.03 ± 0.24 / 17.74 ± 0.71 | 96.41 ± 0.63 / 97.30 ± 0.48 | 97.68 ± 1.06 / 98.44 ± 0.72 | 85.96 ± 1.48 / 89.41 ± 1.15 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 | 12.10.0 | 12.10.2 | 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 | 1.34 | 58.60 ± 1.62 / 47.13 ± 1.62 | 54.96 ± 1.30 / 68.41 ± 1.45 | 70.55 ± 1.00 / 85.14 ± 0.52 | 60.95 ± 0.31 / 65.86 ± 0.36 | 66.99 ± 1.09 / 22.45 ± 1.09 | 80.95 ± 1.28 / 85.57 ± 0.97 | 76.88 ± 1.46 / 84.65 ± 0.97 | 73.73 ± 0.85 / 80.10 ± 0.64 | 13.0.0 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| syvai/danskgpt-chat-llama3-70b (few-shot, val) | 70554 | 128 | 8192 | True | 1,283 ± 279 / 291 ± 92 | 1.39 | 65.40 ± 1.90 / 54.29 ± 1.61 | 62.78 ± 3.01 / 75.05 ± 1.92 | 57.88 ± 3.35 / 78.50 ± 3.07 | 62.24 ± 2.43 / 68.23 ± 1.77 | 66.78 ± 0.52 / 20.59 ± 0.80 | 86.20 ± 2.09 / 88.64 ± 1.57 | 80.14 ± 3.75 / 85.73 ± 2.73 | 66.22 ± 2.53 / 74.34 ± 2.01 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 |
| google/gemma-2-27b-it (few-shot) | 27227 | 256 | 8193 | True | 1,516 ± 257 / 480 ± 148 | 1.45 | 59.94 ± 1.58 / 38.00 ± 1.88 | 59.06 ± 0.91 / 72.86 ± 0.56 | 58.57 ± 2.19 / 78.63 ± 1.31 | 57.48 ± 0.75 / 65.60 ± 0.65 | 68.12 ± 1.10 / 23.96 ± 1.22 | 85.20 ± 0.83 / 88.80 ± 0.65 | 84.02 ± 1.63 / 89.32 ± 1.09 | 71.26 ± 1.64 / 78.17 ± 1.28 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Meta-Llama-3-70B (few-shot, val) | 70554 | 128 | 8192 | True | 312 ± 55 / 177 ± 51 | 1.47 | 63.62 ± 3.74 / 53.29 ± 3.38 | 60.19 ± 3.31 / 73.13 ± 2.17 | 50.07 ± 5.86 / 72.94 ± 4.16 | 60.97 ± 2.76 / 66.71 ± 2.27 | 67.33 ± 1.41 / 22.84 ± 1.49 | 83.94 ± 1.20 / 87.93 ± 0.88 | 78.83 ± 3.17 / 85.39 ± 2.14 | 60.69 ± 4.11 / 69.38 ± 3.63 | 12.7.0 | 12.6.1 | 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 | 4094 | True | 921 ± 293 / 113 ± 37 | 1.61 | 61.31 ± 2.34 / 49.86 ± 2.18 | 52.52 ± 2.05 / 68.10 ± 1.35 | 57.63 ± 2.80 / 77.01 ± 1.83 | 57.03 ± 1.95 / 65.51 ± 1.48 | 66.38 ± 0.26 / 18.03 ± 0.27 | 81.95 ± 2.61 / 86.33 ± 2.03 | 77.66 ± 2.57 / 85.08 ± 1.77 | 62.21 ± 2.60 / 71.05 ± 2.09 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.6.1 | 10.0.1 | 10.0.1 | 12.9.0 |
| meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) | 70554 | 128 | 8192 | True | 1,673 ± 583 / 275 ± 85 | 1.67 | 63.10 ± 2.12 / 55.10 ± 1.44 | 53.09 ± 3.85 / 68.18 ± 2.27 | 40.98 ± 4.46 / 69.10 ± 2.72 | 51.13 ± 1.89 / 63.12 ± 1.61 | 67.76 ± 0.99 / 23.19 ± 0.71 | 85.18 ± 1.92 / 88.91 ± 1.44 | 79.22 ± 2.40 / 85.70 ± 1.72 | 70.19 ± 2.71 / 77.54 ± 2.05 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| google/gemma-2-9b-it (few-shot) | 9242 | 256 | 8193 | True | 2,062 ± 397 / 589 ± 178 | 1.69 | 49.05 ± 2.41 / 30.91 ± 2.53 | 52.26 ± 1.31 / 64.13 ± 1.93 | 58.38 ± 1.21 / 78.98 ± 0.68 | 55.34 ± 0.82 / 64.41 ± 0.42 | 67.67 ± 1.05 / 23.18 ± 1.13 | 80.62 ± 0.77 / 85.41 ± 0.58 | 75.37 ± 2.23 / 83.59 ± 1.49 | 66.17 ± 1.45 / 74.39 ± 1.13 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| CohereForAI/aya-expanse-32b (few-shot) | 32296 | 256 | 8193 | True | 2,288 ± 337 / 791 ± 252 | 1.71 | 61.15 ± 3.15 / 40.96 ± 2.19 | 56.39 ± 0.85 / 69.83 ± 1.08 | 37.75 ± 1.59 / 67.36 ± 1.49 | 58.09 ± 1.26 / 65.87 ± 0.68 | 67.60 ± 0.98 / 23.65 ± 0.89 | 66.13 ± 1.19 / 74.34 ± 0.88 | 73.67 ± 1.81 / 82.52 ± 1.19 | 69.23 ± 1.33 / 76.78 ± 1.02 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Llama-2-70b-hf (few-shot, val) | 68977 | 32 | 4096 | True | 1,892 ± 650 / 318 ± 105 | 1.73 | 58.06 ± 2.48 / 50.10 ± 2.23 | 53.24 ± 4.04 / 67.81 ± 2.74 | 39.71 ± 4.96 / 65.90 ± 3.81 | 62.51 ± 1.48 / 67.47 ± 1.39 | 67.39 ± 1.23 / 23.85 ± 1.20 | 84.43 ± 1.72 / 88.28 ± 1.24 | 71.35 ± 2.55 / 80.47 ± 1.72 | 54.31 ± 2.56 / 65.20 ± 2.09 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| 152334H/miqu-1-70b-sf (few-shot, val) | 68977 | 32 | 32764 | True | 2,126 ± 676 / 319 ± 104 | 1.78 | 56.96 ± 2.39 / 45.84 ± 1.75 | 55.11 ± 4.11 / 69.60 ± 2.69 | 42.64 ± 3.22 / 71.04 ± 1.56 | 54.58 ± 2.19 / 64.12 ± 1.41 | 66.80 ± 1.09 / 20.36 ± 1.51 | 83.94 ± 1.81 / 87.97 ± 1.38 | 73.32 ± 4.97 / 81.64 ± 3.48 | 60.52 ± 3.33 / 70.08 ± 2.52 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| gpt-4o-mini-2024-07-18 (few-shot) | unknown | 200 | 128000 | True | 1,171 ± 378 / 120 ± 39 | 1.95 | 63.59 ± 2.16 / 42.42 ± 3.34 | 29.47 ± 4.78 / 50.59 ± 4.36 | 38.37 ± 9.13 / 60.56 ± 8.53 | 54.63 ± 0.51 / 65.79 ± 0.42 | 65.94 ± 0.11 / 17.32 ± 0.29 | 80.46 ± 4.74 / 84.69 ± 3.92 | 76.16 ± 4.99 / 83.11 ± 4.13 | 62.12 ± 2.52 / 70.60 ± 2.10 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 |
| mhenrichsen/danskgpt-chat-v2.1 (few-shot) | unknown | 32 | 32768 | True | 5,085 ± 998 / 1,306 ± 404 | 2.01 | 51.08 ± 1.60 / 35.83 ± 1.84 | 54.69 ± 0.99 / 69.50 ± 0.93 | 30.95 ± 1.48 / 62.15 ± 1.83 | 56.56 ± 0.76 / 64.32 ± 0.40 | 66.90 ± 0.23 / 20.90 ± 0.64 | 79.39 ± 1.11 / 84.29 ± 0.86 | 73.22 ± 1.83 / 81.91 ± 1.32 | 48.16 ± 1.14 / 60.83 ± 0.97 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 | 12.0.0 |
| google/gemma-2-9b (few-shot) | 9242 | 256 | 8193 | True | 2,038 ± 406 / 566 ± 172 | 2.02 | 44.16 ± 3.11 / 25.93 ± 1.95 | 38.84 ± 2.31 / 45.52 ± 3.32 | 43.42 ± 3.95 / 69.40 ± 3.11 | 60.11 ± 0.96 / 66.24 ± 0.78 | 67.46 ± 1.14 / 24.10 ± 1.14 | 81.68 ± 0.62 / 86.22 ± 0.47 | 77.77 ± 1.30 / 85.06 ± 0.86 | 50.04 ± 3.99 / 61.09 ± 3.31 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) | 10732 | 32 | 4096 | True | 3,780 ± 906 / 799 ± 261 | 2.03 | 58.03 ± 2.18 / 38.25 ± 2.31 | 46.63 ± 2.35 / 59.02 ± 3.07 | 15.09 ± 3.06 / 40.04 ± 1.77 | 62.15 ± 0.63 / 67.21 ± 0.55 | 66.81 ± 1.08 / 22.82 ± 1.04 | 64.79 ± 1.37 / 73.46 ± 1.07 | 68.59 ± 2.23 / 78.59 ± 1.60 | 65.29 ± 0.94 / 73.54 ± 0.74 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 |
| Nexusflow/Starling-LM-7B-beta (few-shot) | 7242 | 32 | 8192 | False | 5,876 ± 1,021 / 1,677 ± 546 | 2.05 | 53.20 ± 1.97 / 32.89 ± 2.00 | 51.75 ± 1.18 / 67.38 ± 0.95 | 32.72 ± 1.79 / 62.53 ± 2.00 | 56.44 ± 0.99 / 65.36 ± 0.51 | 67.46 ± 0.76 / 23.35 ± 0.88 | 59.78 ± 1.61 / 69.68 ± 1.23 | 58.63 ± 2.54 / 71.72 ± 1.82 | 50.74 ± 1.16 / 62.79 ± 0.92 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| timpal0l/sol (few-shot) | 10732 | 32 | 4096 | False | 3,701 ± 876 / 771 ± 247 | 2.06 | 54.91 ± 1.53 / 36.29 ± 1.85 | 44.38 ± 2.83 / 57.19 ± 3.61 | 21.11 ± 3.23 / 45.43 ± 3.11 | 58.96 ± 1.71 / 65.85 ± 1.20 | 66.89 ± 0.89 / 22.65 ± 0.84 | 61.12 ± 1.49 / 70.29 ± 1.16 | 64.86 ± 2.64 / 76.05 ± 1.94 | 67.96 ± 1.07 / 75.68 ± 0.86 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| RJuro/munin-neuralbeagle-7b (few-shot, val) | 7242 | 32 | 32768 | False | 2,493 ± 466 / 773 ± 243 | 2.10 | 51.44 ± 3.28 / 41.38 ± 2.79 | 54.91 ± 2.59 / 67.84 ± 2.53 | 22.77 ± 3.96 / 52.29 ± 3.81 | 56.51 ± 1.80 / 64.01 ± 1.12 | 68.06 ± 1.42 / 24.28 ± 1.31 | 74.24 ± 2.14 / 80.62 ± 1.61 | 70.86 ± 3.58 / 80.31 ± 2.53 | 41.49 ± 2.88 / 55.86 ± 2.17 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.2 |
| mistralai/Mistral-Nemo-Instruct-2407 (few-shot) | 12248 | 131 | 1024001 | True | 7,095 ± 2,193 / 1,063 ± 344 | 2.10 | 53.95 ± 2.29 / 34.84 ± 2.23 | 48.97 ± 1.81 / 64.19 ± 1.99 | 31.78 ± 4.52 / 61.53 ± 5.44 | 56.44 ± 1.24 / 65.53 ± 1.09 | 66.24 ± 0.66 / 20.00 ± 0.80 | 67.09 ± 1.38 / 74.85 ± 1.04 | 72.87 ± 2.11 / 81.97 ± 1.42 | 42.77 ± 2.30 / 55.61 ± 2.33 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| mistralai/Ministral-8B-Instruct-2410 (few-shot) | 8020 | 131 | 32768 | True | 5,821 ± 1,090 / 1,561 ± 506 | 2.16 | 52.49 ± 1.89 / 38.85 ± 1.94 | 49.67 ± 1.40 / 65.83 ± 1.40 | 22.80 ± 5.31 / 55.25 ± 6.92 | 57.07 ± 0.68 / 64.46 ± 0.57 | 66.75 ± 0.97 / 21.86 ± 0.87 | 59.57 ± 1.49 / 69.19 ± 1.13 | 65.34 ± 2.38 / 76.95 ± 1.56 | 53.97 ± 2.40 / 64.76 ± 2.17 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 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 | 2.19 | 49.17 ± 2.72 / 34.74 ± 2.27 | 51.51 ± 1.63 / 66.73 ± 1.63 | 32.04 ± 2.30 / 64.63 ± 1.42 | 58.52 ± 0.97 / 66.15 ± 0.51 | 66.83 ± 0.63 / 21.53 ± 1.17 | 65.77 ± 2.06 / 74.26 ± 1.57 | 77.56 ± 1.97 / 85.02 ± 1.31 | 30.34 ± 1.47 / 46.85 ± 1.17 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| timpal0l/BeagleCatMunin2 (few-shot, val) | 7242 | 32 | 32768 | False | 2,477 ± 459 / 767 ± 241 | 2.24 | 51.53 ± 2.82 / 40.66 ± 2.30 | 47.95 ± 3.02 / 55.70 ± 3.32 | 14.10 ± 3.79 / 40.80 ± 3.64 | 58.28 ± 1.98 / 64.33 ± 1.60 | 68.04 ± 1.34 / 24.72 ± 1.42 | 67.37 ± 4.12 / 75.55 ± 3.01 | 66.75 ± 3.42 / 77.34 ± 2.58 | 42.21 ± 3.40 / 56.48 ± 2.62 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| meta-llama/Llama-2-70b-chat-hf (few-shot, val) | 68977 | 32 | 4096 | True | 1,979 ± 621 / 320 ± 105 | 2.25 | 52.22 ± 2.07 / 38.82 ± 1.90 | 50.66 ± 1.88 / 62.04 ± 2.83 | 23.57 ± 3.82 / 56.09 ± 4.62 | 53.82 ± 2.13 / 61.94 ± 1.63 | 67.13 ± 0.72 / 21.62 ± 0.86 | 69.26 ± 2.89 / 76.99 ± 2.16 | 46.40 ± 2.92 / 59.45 ± 2.63 | 39.72 ± 2.48 / 53.83 ± 2.19 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) | 7242 | 32 | 32768 | False | 2,890 ± 401 / 1,155 ± 348 | 2.26 | 50.40 ± 2.92 / 38.57 ± 2.82 | 52.30 ± 2.65 / 64.19 ± 2.60 | 21.30 ± 3.52 / 47.78 ± 4.14 | 58.17 ± 1.71 / 63.79 ± 1.42 | 66.25 ± 1.29 / 20.33 ± 1.14 | 65.32 ± 3.33 / 73.95 ± 2.50 | 64.76 ± 3.24 / 75.94 ± 2.37 | 33.70 ± 2.78 / 50.16 ± 2.01 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) | 7242 | 32 | 8192 | False | 2,549 ± 472 / 784 ± 245 | 2.26 | 53.02 ± 2.85 / 41.35 ± 3.42 | 51.29 ± 3.42 / 66.57 ± 2.46 | 19.73 ± 4.11 / 57.07 ± 3.09 | 51.69 ± 2.29 / 61.26 ± 1.32 | 67.33 ± 1.40 / 22.77 ± 1.39 | 65.38 ± 2.59 / 73.95 ± 1.84 | 62.78 ± 4.04 / 74.61 ± 2.90 | 39.07 ± 2.57 / 53.83 ± 2.06 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.2 |
| RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) | 7242 | 32 | 32768 | False | 3,008 ± 429 / 991 ± 323 | 2.28 | 50.83 ± 2.28 / 36.96 ± 2.58 | 43.41 ± 2.56 / 48.74 ± 2.83 | 19.72 ± 4.69 / 52.71 ± 5.26 | 57.87 ± 2.32 / 64.53 ± 1.73 | 66.77 ± 0.99 / 21.60 ± 0.91 | 72.92 ± 2.52 / 79.69 ± 1.88 | 68.11 ± 3.00 / 78.52 ± 2.22 | 40.62 ± 3.23 / 55.12 ± 2.44 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.2 |
| birgermoell/Rapid-Cycling (few-shot, val) | 7242 | 32 | 32768 | False | 2,346 ± 450 / 666 ± 249 | 2.28 | 49.99 ± 2.62 / 38.37 ± 3.04 | 51.25 ± 2.70 / 62.67 ± 2.82 | 20.66 ± 5.69 / 49.98 ± 4.94 | 56.82 ± 1.75 / 62.40 ± 1.40 | 65.58 ± 1.30 / 17.82 ± 1.12 | 67.48 ± 3.13 / 75.62 ± 2.33 | 63.69 ± 2.43 / 75.31 ± 1.76 | 32.11 ± 3.47 / 48.55 ± 2.67 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.2 |
| merge-crew/da-sv-task-arithmetic (few-shot, val) | 7242 | 32 | 32768 | True | 2,500 ± 469 / 762 ± 238 | 2.28 | 46.06 ± 3.28 / 35.43 ± 3.06 | 51.51 ± 4.23 / 61.68 ± 4.43 | 27.68 ± 4.25 / 57.59 ± 5.15 | 57.78 ± 1.43 / 62.26 ± 1.36 | 66.62 ± 1.35 / 21.92 ± 1.28 | 68.64 ± 3.34 / 76.45 ± 2.52 | 66.17 ± 3.73 / 76.72 ± 2.55 | 23.95 ± 2.64 / 42.19 ± 2.42 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| timpal0l/BeagleCatMunin (few-shot, val) | 7242 | 32 | 32768 | False | 2,495 ± 458 / 775 ± 244 | 2.28 | 47.62 ± 3.01 / 36.77 ± 2.96 | 54.73 ± 3.20 / 68.74 ± 2.21 | 21.80 ± 4.54 / 51.07 ± 4.11 | 57.26 ± 1.76 / 63.60 ± 1.40 | 67.31 ± 1.40 / 23.24 ± 1.64 | 66.49 ± 2.90 / 74.84 ± 2.12 | 60.41 ± 1.95 / 72.97 ± 1.45 | 28.51 ± 3.95 / 45.74 ± 3.03 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.2 |
| merge-crew/da-sv-slerp (few-shot, val) | 7242 | 32 | 32768 | True | 2,467 ± 469 / 762 ± 244 | 2.29 | 45.94 ± 3.62 / 35.68 ± 3.35 | 51.75 ± 4.52 / 62.28 ± 4.29 | 28.04 ± 3.83 / 58.31 ± 5.00 | 57.65 ± 1.66 / 62.03 ± 1.50 | 66.65 ± 1.28 / 21.98 ± 1.17 | 68.88 ± 2.98 / 76.64 ± 2.22 | 64.81 ± 3.96 / 75.78 ± 2.64 | 23.63 ± 2.25 / 42.03 ± 2.02 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) | 7242 | 32 | 32768 | False | 5,822 ± 1,283 / 1,336 ± 430 | 2.30 | 50.80 ± 2.33 / 34.04 ± 1.76 | 42.79 ± 2.38 / 54.47 ± 3.04 | 23.25 ± 3.17 / 56.31 ± 4.02 | 59.90 ± 0.84 / 65.47 ± 0.43 | 67.50 ± 0.95 / 23.95 ± 0.59 | 66.61 ± 0.93 / 74.86 ± 0.71 | 64.80 ± 1.46 / 76.46 ± 1.02 | 29.18 ± 0.99 / 46.64 ± 0.76 | 10.0.1 | 10.0.1 | 10.0.1 | 12.5.0 | 12.6.1 | 10.0.1 | 11.0.0 | 10.0.1 |
| meta-llama/Llama-3.1-8B (few-shot) | 8030 | 128 | 131073 | True | 2,439 ± 459 / 703 ± 219 | 2.33 | 47.68 ± 2.50 / 32.67 ± 2.45 | 49.71 ± 1.43 / 64.00 ± 1.96 | 25.48 ± 2.83 / 58.45 ± 2.63 | 60.31 ± 1.24 / 65.79 ± 0.84 | 64.74 ± 0.50 / 17.82 ± 0.98 | 57.60 ± 1.58 / 67.81 ± 1.23 | 65.98 ± 1.72 / 77.34 ± 1.16 | 28.65 ± 2.52 / 45.11 ± 2.33 | 12.11.0 | 12.11.0 | 12.11.0 | 12.11.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| four-two-labs/orpo-llama-3-swe (few-shot) | 8030 | 128 | 8192 | False | 4,974 ± 1,208 / 1,032 ± 342 | 2.35 | 46.75 ± 2.79 / 29.40 ± 2.22 | 51.73 ± 1.40 / 66.43 ± 1.93 | 24.73 ± 4.78 / 53.98 ± 6.10 | 59.97 ± 1.27 / 65.74 ± 0.76 | 65.21 ± 0.51 / 18.86 ± 0.87 | 55.72 ± 2.05 / 66.59 ± 1.56 | 61.59 ± 2.64 / 73.95 ± 1.89 | 25.43 ± 2.44 / 43.11 ± 2.03 | 12.7.0 | 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 | 2.36 | 57.19 ± 1.73 / 44.34 ± 2.43 | 51.30 ± 1.32 / 64.44 ± 1.47 | 10.31 ± 3.91 / 42.59 ± 5.19 | 48.80 ± 1.66 / 60.46 ± 0.60 | 67.38 ± 1.09 / 23.21 ± 0.94 | 61.78 ± 1.70 / 71.28 ± 1.27 | 66.61 ± 1.90 / 77.73 ± 1.31 | 39.62 ± 2.26 / 53.92 ± 1.96 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Meta-Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,687 ± 1,121 / 967 ± 313 | 2.36 | 46.31 ± 3.22 / 29.09 ± 2.52 | 51.29 ± 1.47 / 66.35 ± 1.70 | 25.70 ± 4.59 / 55.65 ± 5.87 | 59.79 ± 1.21 / 65.44 ± 0.76 | 65.16 ± 0.48 / 18.74 ± 0.83 | 56.20 ± 2.22 / 66.91 ± 1.68 | 61.16 ± 2.54 / 73.63 ± 1.85 | 24.99 ± 2.12 / 42.57 ± 1.91 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| danish-foundation-models/munin-7b-v0.1dev0 (few-shot) | 7242 | 32 | 8192 | True | 6,113 ± 1,044 / 1,790 ± 579 | 2.37 | 39.12 ± 4.28 / 28.74 ± 2.75 | 36.47 ± 4.90 / 50.72 ± 6.21 | 26.76 ± 4.78 / 57.02 ± 5.13 | 58.75 ± 1.19 / 64.41 ± 0.77 | 67.89 ± 1.20 / 24.67 ± 1.26 | 91.32 ± 0.66 / 93.45 ± 0.50 | 79.92 ± 1.83 / 85.82 ± 1.39 | 24.76 ± 3.27 / 42.17 ± 2.72 | 12.5.2 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 | 12.4.0 |
| syvai/llama3-da-base (few-shot) | 8030 | 128 | 8192 | True | 3,191 ± 1,053 / 446 ± 147 | 2.37 | 49.97 ± 3.05 / 34.87 ± 3.11 | 48.61 ± 1.35 / 60.53 ± 2.13 | 28.16 ± 3.02 / 59.87 ± 3.44 | 59.55 ± 1.23 / 65.50 ± 0.77 | 66.16 ± 0.83 / 20.83 ± 1.23 | 54.55 ± 2.11 / 65.21 ± 1.63 | 62.19 ± 2.34 / 74.20 ± 1.57 | 20.36 ± 2.18 / 38.27 ± 2.03 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 |
| senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 2.38 | 52.61 ± 1.77 / 33.64 ± 2.67 | 49.81 ± 1.43 / 66.32 ± 1.25 | 19.64 ± 1.63 / 54.22 ± 2.32 | 48.03 ± 1.24 / 57.94 ± 1.02 | 66.67 ± 0.87 / 21.08 ± 0.83 | 57.65 ± 1.99 / 68.08 ± 1.51 | 51.99 ± 3.67 / 66.43 ± 2.85 | 44.44 ± 1.52 / 58.16 ± 1.21 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) | 8030 | 128 | 8192 | False | 5,018 ± 1,216 / 996 ± 324 | 2.38 | 51.37 ± 2.38 / 37.56 ± 2.50 | 52.17 ± 3.44 / 67.14 ± 2.61 | 27.98 ± 7.51 / 60.57 ± 5.72 | 51.65 ± 0.84 / 59.94 ± 0.78 | 66.25 ± 1.15 / 19.93 ± 1.18 | 57.31 ± 2.81 / 68.05 ± 2.05 | 54.17 ± 2.95 / 68.20 ± 1.83 | 27.65 ± 3.28 / 44.53 ± 2.63 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) | 7242 | 32 | 32768 | False | 3,006 ± 479 / 1,053 ± 319 | 2.39 | 45.37 ± 2.53 / 28.99 ± 2.18 | 39.63 ± 1.90 / 46.93 ± 2.68 | 21.77 ± 3.54 / 47.96 ± 4.57 | 58.28 ± 0.73 / 64.76 ± 0.47 | 67.91 ± 0.79 / 24.44 ± 0.46 | 78.71 ± 1.22 / 83.82 ± 0.94 | 63.74 ± 2.06 / 74.88 ± 1.46 | 28.58 ± 0.96 / 45.97 ± 0.76 | 11.0.0 | 11.0.0 | 11.0.0 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 11.0.0 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) | 8030 | 128 | 8192 | True | 4,909 ± 1,215 / 978 ± 319 | 2.39 | 57.74 ± 2.06 / 40.66 ± 2.58 | 48.43 ± 3.31 / 62.09 ± 3.62 | 27.12 ± 2.83 / 60.40 ± 2.70 | 46.76 ± 1.20 / 59.77 ± 0.51 | 66.36 ± 0.47 / 19.75 ± 0.84 | 57.87 ± 1.67 / 67.43 ± 1.34 | 50.42 ± 3.32 / 65.43 ± 2.41 | 29.17 ± 2.24 / 44.59 ± 2.00 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) | 7242 | 32 | 32768 | False | 2,903 ± 407 / 1,157 ± 350 | 2.40 | 51.85 ± 3.08 / 40.02 ± 2.48 | 44.02 ± 2.44 / 47.74 ± 1.98 | 1.22 ± 4.99 / 34.29 ± 1.62 | 57.69 ± 2.29 / 64.09 ± 1.68 | 67.69 ± 1.19 / 23.90 ± 1.25 | 68.45 ± 3.11 / 76.37 ± 2.29 | 65.51 ± 3.45 / 76.56 ± 2.62 | 42.09 ± 3.27 / 56.33 ± 2.56 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) | 7242 | 32 | 32768 | False | 2,856 ± 391 / 1,142 ± 342 | 2.40 | 51.85 ± 3.08 / 40.02 ± 2.48 | 44.02 ± 2.44 / 47.74 ± 1.98 | 1.22 ± 4.99 / 34.29 ± 1.62 | 57.69 ± 2.29 / 64.09 ± 1.68 | 67.69 ± 1.19 / 23.88 ± 1.23 | 68.45 ± 3.11 / 76.37 ± 2.29 | 65.51 ± 3.45 / 76.56 ± 2.62 | 42.09 ± 3.27 / 56.33 ± 2.56 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| AI-Sweden-Models/Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 4,141 ± 994 / 905 ± 299 | 2.41 | 36.72 ± 3.33 / 27.73 ± 2.57 | 46.48 ± 1.17 / 55.20 ± 2.51 | 26.10 ± 3.17 / 59.19 ± 3.94 | 58.00 ± 0.91 / 64.11 ± 0.64 | 67.23 ± 1.11 / 23.15 ± 1.07 | 82.84 ± 0.94 / 87.01 ± 0.71 | 75.27 ± 1.67 / 83.44 ± 1.19 | 14.55 ± 2.72 / 33.99 ± 2.19 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| CohereForAI/aya-expanse-8b (few-shot) | 8028 | 256 | 8192 | False | 5,581 ± 1,066 / 1,471 ± 483 | 2.41 | 51.32 ± 3.82 / 25.54 ± 2.10 | 52.00 ± 1.67 / 66.25 ± 1.77 | 18.48 ± 2.44 / 52.18 ± 4.28 | 52.43 ± 1.19 / 62.08 ± 0.60 | 66.18 ± 0.84 / 21.10 ± 0.69 | 41.32 ± 1.11 / 55.43 ± 0.86 | 52.24 ± 1.55 / 68.01 ± 1.05 | 37.67 ± 0.80 / 53.26 ± 0.60 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| timpal0l/njord-alpha (few-shot) | 7242 | 32 | 32768 | True | 5,431 ± 1,267 / 1,139 ± 365 | 2.41 | 38.25 ± 3.75 / 28.14 ± 3.06 | 39.37 ± 2.09 / 56.57 ± 1.90 | 29.76 ± 3.24 / 61.80 ± 2.22 | 57.02 ± 1.28 / 63.16 ± 0.90 | 67.57 ± 1.27 / 24.15 ± 1.17 | 83.45 ± 1.44 / 87.17 ± 1.20 | 70.43 ± 2.76 / 79.43 ± 1.95 | 16.43 ± 1.75 / 33.75 ± 1.91 | 12.7.0 | 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 | 2.42 | 52.72 ± 2.21 / 39.49 ± 3.47 | 49.11 ± 3.91 / 64.78 ± 2.61 | 16.09 ± 3.74 / 54.94 ± 2.92 | 46.28 ± 1.53 / 56.13 ± 1.09 | 66.62 ± 0.96 / 21.03 ± 0.80 | 60.03 ± 5.14 / 70.04 ± 3.73 | 59.83 ± 4.38 / 72.27 ± 3.40 | 40.40 ± 3.24 / 55.04 ± 2.57 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.6.1 | 12.5.2 | 12.5.2 | 12.5.2 |
| KennethEnevoldsen/munin_mistral-7b (few-shot, val) | 7242 | 32 | 32768 | False | 2,543 ± 466 / 787 ± 247 | 2.43 | 46.70 ± 3.49 / 36.30 ± 2.65 | 47.52 ± 3.90 / 55.98 ± 4.69 | 8.04 ± 5.32 / 36.02 ± 2.59 | 60.05 ± 1.30 / 64.15 ± 1.20 | 67.18 ± 1.23 / 22.71 ± 1.10 | 70.49 ± 3.13 / 77.89 ± 2.32 | 66.28 ± 4.60 / 76.88 ± 3.34 | 25.13 ± 3.45 / 43.24 ± 2.58 | 12.5.2 | 12.3.1 | 12.3.1 | 12.3.2 | 12.6.1 | 12.3.2 | 12.3.2 | 12.3.2 |
| birgermoell/NeuralBeagle-Flashback (few-shot, val) | 7242 | 32 | 32768 | False | 2,904 ± 405 / 1,155 ± 349 | 2.44 | 48.28 ± 2.73 / 36.42 ± 3.04 | 44.20 ± 2.63 / 53.54 ± 3.36 | 22.79 ± 5.54 / 54.63 ± 6.09 | 57.96 ± 0.80 / 63.50 ± 0.73 | 65.62 ± 1.30 / 17.98 ± 1.11 | 62.80 ± 2.47 / 72.15 ± 1.80 | 61.54 ± 2.29 / 73.98 ± 1.58 | 25.54 ± 2.80 / 43.01 ± 1.95 | 9.3.0 | 9.3.0 | 9.3.0 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.0 |
| danish-foundation-models/munin-7b-alpha (few-shot) | 7242 | 32 | 32768 | True | 6,116 ± 1,049 / 1,784 ± 577 | 2.44 | 40.60 ± 2.25 / 28.71 ± 1.42 | 36.89 ± 2.27 / 43.77 ± 2.64 | 26.41 ± 5.40 / 53.03 ± 6.56 | 57.81 ± 1.11 / 63.44 ± 0.81 | 67.27 ± 1.15 / 23.82 ± 0.97 | 77.63 ± 1.33 / 83.01 ± 1.00 | 67.83 ± 1.25 / 77.91 ± 0.89 | 25.16 ± 2.44 / 42.68 ± 2.10 | 12.5.2 | 12.4.0 | 12.4.0 | 12.4.0 | 12.6.1 | 12.4.0 | 12.4.0 | 12.4.0 |
| birgermoell/Flashback-Bellman (few-shot, val) | 7242 | 32 | 32768 | False | 2,887 ± 403 / 1,144 ± 345 | 2.45 | 47.71 ± 3.50 / 35.65 ± 3.07 | 48.21 ± 3.58 / 60.08 ± 3.41 | 19.55 ± 5.35 / 50.98 ± 5.74 | 56.46 ± 1.48 / 61.69 ± 1.28 | 65.46 ± 1.23 / 17.73 ± 1.16 | 61.29 ± 2.33 / 70.82 ± 1.78 | 60.29 ± 2.58 / 72.97 ± 1.79 | 28.33 ± 2.11 / 45.86 ± 1.72 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| AI-Sweden-Models/tyr (few-shot, val) | 7242 | 32 | 32768 | False | 6,079 ± 1,051 / 1,760 ± 570 | 2.46 | 47.01 ± 2.76 / 36.47 ± 3.27 | 50.60 ± 3.33 / 65.49 ± 2.38 | 13.73 ± 3.33 / 52.15 ± 3.17 | 56.35 ± 1.68 / 61.63 ± 1.33 | 66.82 ± 1.02 / 22.26 ± 1.10 | 57.53 ± 3.61 / 67.77 ± 2.64 | 67.04 ± 2.33 / 78.12 ± 1.58 | 22.16 ± 1.56 / 40.90 ± 1.34 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.3.2 |
| bineric/NorskGPT-Llama3-8b (few-shot) | 8030 | 128 | 8192 | False | 3,695 ± 1,277 / 532 ± 183 | 2.46 | 51.40 ± 3.08 / 37.70 ± 3.28 | 42.13 ± 0.57 / 45.91 ± 0.39 | 3.91 ± 2.02 / 34.38 ± 0.47 | 57.81 ± 1.03 / 66.28 ± 0.48 | 66.70 ± 0.98 / 21.56 ± 0.85 | 65.15 ± 1.40 / 73.55 ± 1.05 | 57.36 ± 2.49 / 70.88 ± 1.70 | 44.55 ± 1.98 / 57.29 ± 1.77 | 12.7.0 | 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-dare-ties-density-0.9 (few-shot, val) | 7242 | 32 | 32768 | True | 2,443 ± 458 / 750 ± 240 | 2.46 | 45.61 ± 3.06 / 35.04 ± 2.94 | 53.73 ± 3.06 / 67.51 ± 2.16 | 17.08 ± 5.36 / 52.62 ± 5.62 | 56.67 ± 1.19 / 61.18 ± 1.07 | 66.14 ± 1.40 / 20.98 ± 1.16 | 60.58 ± 2.62 / 69.80 ± 2.03 | 57.89 ± 3.66 / 70.00 ± 2.59 | 16.45 ± 1.87 / 35.47 ± 1.77 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| google/gemma-7b (few-shot) | 8538 | 256 | 8192 | True | 1,378 ± 260 / 387 ± 119 | 2.50 | 19.59 ± 2.54 / 15.47 ± 2.19 | 46.55 ± 1.89 / 59.52 ± 3.56 | 32.64 ± 2.91 / 63.84 ± 1.69 | 59.40 ± 1.02 / 64.81 ± 0.91 | 66.63 ± 0.82 / 22.82 ± 0.62 | 74.32 ± 0.96 / 80.31 ± 0.79 | 65.58 ± 2.10 / 76.41 ± 1.54 | 24.74 ± 2.86 / 39.03 ± 1.70 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 |
| emillykkejensen/Llama-3-8B-instruct-dansk (few-shot) | 8030 | 128 | 4096 | False | 967 ± 125 / 402 ± 116 | 2.52 | 41.74 ± 3.18 / 30.54 ± 2.87 | 50.07 ± 1.52 / 60.95 ± 2.42 | 24.49 ± 1.98 / 57.72 ± 2.71 | 59.29 ± 0.86 / 65.18 ± 0.54 | 66.24 ± 0.55 / 20.03 ± 0.83 | 55.51 ± 1.94 / 65.80 ± 1.51 | 48.43 ± 2.35 / 64.28 ± 1.72 | 19.64 ± 2.14 / 37.09 ± 1.65 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 |
| Mabeck/Heidrun-Mistral-7B-base (few-shot) | 7242 | 32 | 32768 | True | 3,823 ± 967 / 860 ± 280 | 2.55 | 40.14 ± 2.41 / 28.08 ± 1.67 | 39.38 ± 1.56 / 49.16 ± 2.84 | 21.85 ± 3.24 / 53.75 ± 4.63 | 58.07 ± 1.13 / 63.63 ± 0.69 | 67.06 ± 1.05 / 23.60 ± 0.84 | 60.78 ± 1.64 / 69.96 ± 1.28 | 61.29 ± 2.78 / 73.50 ± 1.95 | 16.26 ± 1.96 / 35.70 ± 1.73 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 12.6.1 | 11.0.0 | 11.0.0 | 11.0.0 |
| bineric/NorskGPT-Mistral-7b (few-shot) | 7242 | 32 | 32768 | False | 2,443 ± 451 / 761 ± 237 | 2.55 | 50.76 ± 1.60 / 32.89 ± 2.11 | 40.41 ± 0.79 / 44.17 ± 0.56 | 0.00 ± 0.00 / 33.41 ± 0.23 | 57.26 ± 0.79 / 63.80 ± 0.52 | 66.89 ± 0.71 / 21.43 ± 0.57 | 64.32 ± 1.99 / 73.00 ± 1.51 | 53.18 ± 2.37 / 67.48 ± 1.70 | 43.42 ± 1.05 / 57.50 ± 0.80 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| ibm-granite/granite-3.0-8b-base (few-shot) | 8171 | 49 | 4097 | True | 5,116 ± 943 / 1,436 ± 472 | 2.56 | 44.58 ± 2.62 / 33.50 ± 2.75 | 47.16 ± 1.36 / 64.63 ± 1.18 | 19.20 ± 2.44 / 53.44 ± 4.36 | 58.41 ± 1.36 / 63.32 ± 0.89 | 65.64 ± 0.99 / 21.12 ± 0.86 | 32.05 ± 2.18 / 47.54 ± 1.78 | 47.42 ± 1.74 / 65.02 ± 1.13 | 28.73 ± 1.32 / 46.04 ± 1.04 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| merge-crew/da-sv-ties (few-shot, val) | 7242 | 32 | 32768 | True | 2,457 ± 451 / 757 ± 237 | 2.56 | 45.39 ± 2.46 / 34.45 ± 2.56 | 51.95 ± 2.65 / 65.69 ± 2.11 | 13.25 ± 6.27 / 45.66 ± 5.58 | 58.51 ± 1.35 / 62.73 ± 1.19 | 66.33 ± 1.33 / 21.24 ± 1.23 | 57.16 ± 3.03 / 66.99 ± 2.44 | 60.06 ± 3.26 / 71.17 ± 2.36 | 13.62 ± 3.14 / 33.40 ± 2.67 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| mistralai/Mistral-7B-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 4,120 ± 976 / 926 ± 306 | 2.56 | 43.60 ± 2.94 / 32.17 ± 2.26 | 45.92 ± 1.50 / 61.91 ± 1.50 | 15.43 ± 3.79 / 46.20 ± 5.54 | 59.13 ± 0.86 / 64.43 ± 0.58 | 66.33 ± 0.98 / 22.03 ± 0.96 | 53.81 ± 1.88 / 64.81 ± 1.53 | 61.06 ± 2.83 / 73.89 ± 2.00 | 20.64 ± 1.95 / 39.21 ± 1.79 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.4 |
| alpindale/Mistral-7B-v0.2-hf (few-shot) | 7242 | 32 | 32768 | True | 1,841 ± 297 / 651 ± 193 | 2.58 | 43.65 ± 2.87 / 32.21 ± 2.13 | 45.86 ± 1.63 / 61.89 ± 1.57 | 15.19 ± 3.67 / 46.19 ± 5.60 | 59.14 ± 0.90 / 64.43 ± 0.58 | 66.30 ± 1.02 / 21.99 ± 1.01 | 53.67 ± 1.74 / 64.67 ± 1.45 | 54.52 ± 2.51 / 68.59 ± 1.76 | 20.51 ± 2.03 / 39.10 ± 1.86 | 12.5.2 | 12.5.1 | 12.5.1 | 12.5.1 | 12.6.1 | 12.5.1 | 12.5.1 | 12.5.1 |
| merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) | 7242 | 32 | 32768 | True | 2,515 ± 465 / 785 ± 247 | 2.59 | 46.03 ± 3.93 / 34.23 ± 2.86 | 49.59 ± 3.26 / 63.45 ± 2.61 | 12.72 ± 3.51 / 46.56 ± 5.33 | 57.03 ± 1.13 / 61.58 ± 1.01 | 65.24 ± 1.45 / 19.37 ± 1.48 | 59.88 ± 2.64 / 69.41 ± 2.10 | 59.51 ± 3.33 / 71.02 ± 2.26 | 16.86 ± 4.05 / 34.77 ± 3.07 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| meta-llama/Llama-2-13b-chat-hf (few-shot) | 13016 | 32 | 4096 | True | 2,849 ± 622 / 723 ± 229 | 2.64 | 44.00 ± 2.63 / 29.00 ± 2.26 | 45.41 ± 1.79 / 62.27 ± 2.34 | 16.17 ± 2.17 / 56.93 ± 1.29 | 57.06 ± 0.83 / 63.94 ± 0.49 | 66.88 ± 0.98 / 21.84 ± 1.04 | 45.21 ± 1.90 / 57.54 ± 1.55 | 51.06 ± 2.13 / 67.44 ± 1.41 | 16.50 ± 1.48 / 36.77 ± 1.21 | 12.10.5 | 12.10.4 | 12.10.4 | 12.11.0 | 12.11.0 | 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 | 2.64 | 44.89 ± 2.46 / 29.13 ± 1.92 | 48.09 ± 1.00 / 65.40 ± 0.75 | 19.06 ± 2.34 / 58.77 ± 1.37 | 51.56 ± 1.16 / 60.81 ± 0.74 | 66.84 ± 0.77 / 21.21 ± 1.08 | 51.60 ± 1.33 / 63.50 ± 1.03 | 35.85 ± 2.68 / 52.62 ± 2.08 | 22.21 ± 1.60 / 40.78 ± 1.32 | 9.2.0 | 9.2.0 | 9.3.1 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.2 |
| mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 2,657 ± 524 / 880 ± 278 | 2.64 | 45.42 ± 2.88 / 32.66 ± 2.49 | 43.16 ± 1.69 / 54.53 ± 2.83 | 8.79 ± 3.23 / 38.38 ± 4.22 | 59.43 ± 1.04 / 64.55 ± 0.68 | 66.47 ± 1.00 / 22.11 ± 1.08 | 53.26 ± 1.94 / 64.50 ± 1.68 | 58.26 ± 2.62 / 71.56 ± 1.79 | 18.53 ± 2.03 / 37.79 ± 1.68 | 0.0.0 | 0.0.0 | 0.0.0 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.1.2 |
| RuterNorway/Llama-2-13b-chat-norwegian (few-shot) | unknown | 32 | 4096 | False | 3,254 ± 1,068 / 484 ± 173 | 2.65 | 43.17 ± 2.78 / 31.37 ± 2.95 | 43.40 ± 2.20 / 57.24 ± 3.52 | 11.08 ± 2.98 / 43.40 ± 4.66 | 56.81 ± 0.70 / 63.10 ± 0.35 | 67.46 ± 0.28 / 22.85 ± 0.60 | 52.94 ± 1.40 / 64.04 ± 1.18 | 41.65 ± 1.43 / 59.92 ± 0.88 | 17.57 ± 1.83 / 37.68 ± 1.55 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 | 11.0.0 | 11.0.0 | 9.3.1 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) | 7242 | 32 | 32768 | True | 5,054 ± 1,200 / 1,056 ± 339 | 2.65 | 42.43 ± 3.36 / 29.30 ± 2.53 | 47.82 ± 2.00 / 63.19 ± 2.09 | 16.51 ± 2.59 / 52.73 ± 3.91 | 56.95 ± 1.21 / 62.20 ± 0.83 | 65.43 ± 1.12 / 20.36 ± 0.95 | 50.76 ± 1.75 / 62.66 ± 1.43 | 50.82 ± 1.17 / 66.66 ± 0.76 | 14.47 ± 2.35 / 34.86 ± 1.97 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 | 12.6.1 | 12.5.3 | 12.5.3 | 12.5.3 |
| CohereForAI/aya-23-8B (few-shot) | 8028 | 256 | 8192 | False | 5,608 ± 1,062 / 1,472 ± 479 | 2.66 | 47.08 ± 3.39 / 32.34 ± 2.97 | 47.16 ± 1.21 / 63.47 ± 1.57 | 8.41 ± 2.40 / 37.31 ± 1.66 | 58.83 ± 0.73 / 63.96 ± 0.56 | 65.03 ± 0.98 / 20.21 ± 0.77 | 36.64 ± 1.30 / 49.92 ± 1.19 | 39.24 ± 1.63 / 59.45 ± 1.09 | 27.29 ± 1.22 / 45.01 ± 0.99 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| mhenrichsen/hestenettetLM (few-shot) | 7242 | 32 | 32768 | True | 5,160 ± 804 / 1,654 ± 516 | 2.66 | 44.90 ± 3.15 / 31.91 ± 2.65 | 42.61 ± 1.79 / 53.47 ± 3.00 | 8.65 ± 3.44 / 38.18 ± 4.21 | 59.62 ± 1.12 / 64.70 ± 0.75 | 66.48 ± 0.99 / 22.13 ± 1.09 | 52.83 ± 1.98 / 64.27 ± 1.66 | 57.96 ± 2.76 / 71.31 ± 1.89 | 18.11 ± 3.15 / 37.65 ± 2.44 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.6.1 | 12.3.2 | 12.3.2 | 12.3.2 |
| bineric/NorskGPT-Llama-13B-v0.1 (few-shot) | unknown | 32 | 4096 | False | 2,856 ± 645 / 709 ± 243 | 2.69 | 44.17 ± 3.14 / 31.63 ± 3.03 | 44.28 ± 1.94 / 55.59 ± 3.06 | 3.11 ± 1.88 / 34.35 ± 0.74 | 55.59 ± 0.65 / 63.25 ± 0.37 | 66.63 ± 0.92 / 21.44 ± 0.80 | 59.51 ± 1.28 / 69.11 ± 1.02 | 50.89 ± 1.72 / 67.29 ± 1.12 | 25.32 ± 1.41 / 43.22 ± 1.13 | 12.10.4 | 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-it (few-shot) | 2614 | 256 | 8193 | True | 5,374 ± 1,233 / 1,193 ± 377 | 2.70 | 28.22 ± 1.66 / 19.95 ± 1.55 | 47.11 ± 1.36 / 63.36 ± 1.39 | 19.99 ± 1.86 / 58.86 ± 1.11 | 48.00 ± 0.98 / 58.49 ± 0.49 | 66.73 ± 1.01 / 21.91 ± 1.06 | 52.85 ± 1.36 / 63.72 ± 1.12 | 52.74 ± 1.77 / 68.55 ± 1.20 | 29.94 ± 1.28 / 47.03 ± 1.01 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| ibm-granite/granite-3.0-8b-instruct (few-shot) | 8171 | 49 | 4096 | True | 5,090 ± 937 / 1,423 ± 466 | 2.70 | 44.92 ± 3.05 / 32.65 ± 2.50 | 49.31 ± 1.35 / 66.02 ± 1.10 | 10.14 ± 2.87 / 44.99 ± 4.82 | 57.34 ± 0.99 / 63.24 ± 0.44 | 66.02 ± 0.75 / 20.91 ± 0.70 | 33.71 ± 1.69 / 49.70 ± 1.24 | 43.55 ± 3.67 / 62.50 ± 2.36 | 21.34 ± 1.27 / 39.77 ± 1.09 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| timpal0l/Llama-3-8B-flashback-v1 (few-shot) | 8030 | 128 | 8192 | True | 4,807 ± 1,152 / 979 ± 319 | 2.70 | 46.59 ± 4.16 / 31.16 ± 3.95 | 50.25 ± 1.25 / 66.18 ± 1.01 | 14.46 ± 2.48 / 50.96 ± 4.22 | 56.86 ± 1.23 / 62.50 ± 0.92 | 61.98 ± 1.03 / 15.41 ± 1.03 | 46.91 ± 1.59 / 59.57 ± 1.13 | 50.98 ± 1.94 / 66.25 ± 1.43 | 16.33 ± 2.72 / 35.98 ± 2.43 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 2,518 ± 463 / 779 ± 243 | 2.71 | 46.11 ± 3.27 / 28.75 ± 2.13 | 47.58 ± 1.41 / 63.81 ± 1.28 | 18.41 ± 2.11 / 57.44 ± 2.11 | 52.78 ± 1.15 / 60.80 ± 0.59 | 65.65 ± 0.82 / 18.78 ± 0.80 | 41.77 ± 1.71 / 55.65 ± 1.27 | 35.86 ± 2.28 / 52.48 ± 1.70 | 11.59 ± 1.75 / 32.81 ± 1.55 | 9.2.0 | 9.2.0 | 9.2.0 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 9.2.0 |
| meta-llama/Llama-2-13b-hf (few-shot) | 13016 | 32 | 4096 | True | 2,898 ± 637 / 736 ± 236 | 2.78 | 41.28 ± 3.92 / 31.98 ± 3.26 | 23.01 ± 3.87 / 36.55 ± 6.42 | 23.50 ± 2.75 / 58.11 ± 3.45 | 60.29 ± 0.81 / 65.52 ± 0.58 | 66.28 ± 1.20 / 21.69 ± 1.21 | 50.30 ± 2.37 / 61.85 ± 1.93 | 56.24 ± 2.29 / 70.27 ± 1.64 | 15.43 ± 0.95 / 35.31 ± 0.71 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.4 |
| meta-llama/Llama-3.2-3B-Instruct (few-shot) | 3213 | 128 | 131073 | False | 10,424 ± 2,641 / 2,081 ± 666 | 2.79 | 41.12 ± 3.39 / 32.50 ± 2.74 | 42.77 ± 2.76 / 54.70 ± 4.19 | 11.52 ± 3.01 / 49.37 ± 4.12 | 51.14 ± 1.03 / 60.18 ± 0.55 | 65.19 ± 0.78 / 18.34 ± 1.22 | 49.78 ± 1.52 / 62.29 ± 1.14 | 45.88 ± 2.43 / 63.96 ± 1.59 | 21.89 ± 1.77 / 41.16 ± 1.43 | 13.0.0 | 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 | 2.84 | 40.19 ± 2.55 / 29.73 ± 1.44 | 42.31 ± 1.55 / 59.29 ± 2.00 | 1.14 ± 1.22 / 33.83 ± 0.72 | 57.89 ± 1.16 / 63.95 ± 0.82 | 66.68 ± 0.81 / 22.38 ± 0.71 | 44.30 ± 2.46 / 57.00 ± 2.30 | 48.76 ± 2.39 / 65.51 ± 1.72 | 15.44 ± 1.66 / 35.82 ± 1.14 | 12.5.2 | 12.2.0 | 12.3.1 | 12.4.0 | 12.6.1 | 12.3.1 | 12.3.1 | 12.3.1 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) | 6738 | 32 | 4096 | False | 5,384 ± 879 / 1,746 ± 553 | 2.85 | 41.63 ± 2.33 / 28.51 ± 2.43 | 47.73 ± 1.52 / 60.64 ± 2.33 | 0.00 ± 0.00 / 33.41 ± 0.23 | 54.25 ± 0.85 / 61.70 ± 0.71 | 66.02 ± 0.52 / 19.78 ± 0.57 | 47.16 ± 1.82 / 59.60 ± 1.51 | 38.28 ± 1.21 / 58.13 ± 0.76 | 22.27 ± 1.19 / 41.07 ± 1.07 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.6.1 | 12.3.2 | 12.3.2 | 12.3.2 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 2.85 | 37.93 ± 2.71 / 23.54 ± 1.99 | 44.49 ± 2.56 / 60.64 ± 3.00 | 14.09 ± 2.94 / 42.43 ± 3.30 | 51.38 ± 2.31 / 58.78 ± 1.27 | 65.80 ± 0.93 / 19.91 ± 1.41 | 45.07 ± 1.34 / 58.18 ± 1.03 | 35.36 ± 2.19 / 55.82 ± 1.48 | 14.85 ± 1.19 / 35.26 ± 1.24 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 2.91 | 35.44 ± 3.00 / 24.63 ± 1.65 | 44.88 ± 1.45 / 62.35 ± 1.33 | 9.74 ± 1.96 / 47.42 ± 4.19 | 55.04 ± 0.79 / 61.34 ± 0.81 | 66.15 ± 0.67 / 19.69 ± 0.94 | 32.17 ± 2.28 / 46.67 ± 1.92 | 35.74 ± 2.46 / 55.18 ± 1.81 | 11.32 ± 0.41 / 32.24 ± 0.79 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| meta-llama/Llama-3.2-3B (few-shot) | 3213 | 128 | 131073 | True | 3,713 ± 877 / 836 ± 267 | 2.91 | 41.13 ± 2.85 / 27.15 ± 1.82 | 38.90 ± 1.93 / 44.34 ± 1.64 | 9.60 ± 2.51 / 44.34 ± 5.20 | 56.85 ± 1.27 / 62.25 ± 0.88 | 63.35 ± 0.50 / 15.11 ± 0.93 | 45.46 ± 1.79 / 57.79 ± 1.31 | 46.77 ± 2.98 / 64.61 ± 1.98 | 12.19 ± 0.97 / 33.27 ± 0.89 | 13.0.0 | 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 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 2.92 | 37.93 ± 3.09 / 29.50 ± 2.18 | 44.62 ± 1.98 / 62.62 ± 1.54 | 0.28 ± 0.54 / 33.48 ± 0.24 | 58.05 ± 1.02 / 62.89 ± 0.89 | 66.05 ± 1.13 / 21.82 ± 0.96 | 38.54 ± 1.47 / 53.57 ± 1.26 | 45.89 ± 3.00 / 63.14 ± 1.98 | 12.38 ± 1.99 / 33.54 ± 1.61 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.2.0 |
| emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) | 3821 | 32 | 4096 | False | 1,360 ± 179 / 566 ± 190 | 2.93 | 39.96 ± 3.11 / 25.49 ± 2.71 | 44.93 ± 1.13 / 62.99 ± 0.87 | 4.01 ± 1.10 / 45.80 ± 2.61 | 55.01 ± 0.80 / 60.67 ± 0.59 | 65.29 ± 0.58 / 20.29 ± 0.54 | 35.28 ± 1.37 / 51.43 ± 1.04 | 41.62 ± 2.04 / 60.84 ± 1.39 | 11.81 ± 1.05 / 33.65 ± 0.84 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) | 7242 | 32 | 32768 | False | 5,172 ± 813 / 1,647 ± 518 | 2.96 | 37.02 ± 5.66 / 27.64 ± 3.92 | 40.65 ± 2.10 / 57.47 ± 2.56 | 7.48 ± 2.51 / 46.56 ± 4.52 | 52.71 ± 0.70 / 59.07 ± 0.65 | 64.46 ± 0.75 / 14.29 ± 0.40 | 47.26 ± 2.07 / 60.38 ± 1.55 | 49.54 ± 1.64 / 66.15 ± 1.06 | 9.02 ± 1.22 / 30.79 ± 0.64 | 12.5.2 | 12.3.2 | 12.3.2 | 12.4.0 | 12.6.1 | 12.3.2 | 12.3.2 | 12.3.2 |
| NorwAI/NorwAI-Mistral-7B (few-shot) | 7537 | 68 | 4096 | True | 3,035 ± 503 / 911 ± 300 | 2.97 | 21.47 ± 3.87 / 16.98 ± 3.19 | 48.39 ± 0.66 / 64.51 ± 1.38 | 12.46 ± 2.22 / 52.33 ± 3.21 | 52.51 ± 1.57 / 58.49 ± 1.58 | 66.53 ± 1.15 / 21.82 ± 1.03 | 36.65 ± 2.42 / 48.70 ± 2.50 | 49.97 ± 2.70 / 65.62 ± 1.94 | 5.64 ± 1.49 / 28.33 ± 0.91 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| microsoft/Phi-3-mini-4k-instruct (few-shot) | 3821 | 32 | 4096 | True | 5,224 ± 1,371 / 1,063 ± 358 | 2.97 | 41.37 ± 2.50 / 24.64 ± 2.50 | 42.60 ± 1.06 / 61.52 ± 0.75 | 6.52 ± 1.34 / 45.01 ± 2.64 | 50.57 ± 1.03 / 57.75 ± 0.64 | 64.55 ± 0.78 / 19.26 ± 0.48 | 38.64 ± 1.52 / 53.92 ± 1.16 | 42.12 ± 2.16 / 61.23 ± 1.46 | 13.66 ± 1.32 / 35.16 ± 1.02 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| google/gemma-7b-it (few-shot) | 8538 | 256 | 8192 | False | 1,792 ± 249 / 668 ± 203 | 2.98 | 43.83 ± 1.93 / 34.03 ± 1.59 | 29.21 ± 1.92 / 52.86 ± 1.54 | 12.96 ± 1.67 / 55.83 ± 0.88 | 49.76 ± 0.59 / 56.52 ± 0.50 | 65.36 ± 1.08 / 19.65 ± 1.01 | 41.30 ± 1.79 / 54.09 ± 1.68 | 31.26 ± 2.75 / 52.68 ± 2.10 | 15.02 ± 1.01 / 34.38 ± 0.79 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| AI-Sweden-Models/gpt-sw3-40b (few-shot) | 39927 | 64 | 2048 | True | 409 ± 53 / 182 ± 54 | 2.99 | 26.57 ± 5.22 / 17.35 ± 2.79 | 47.81 ± 1.32 / 64.26 ± 1.28 | 11.13 ± 2.06 / 51.34 ± 3.02 | 53.78 ± 0.70 / 60.13 ± 0.69 | 66.21 ± 1.17 / 21.48 ± 1.27 | 33.48 ± 3.59 / 46.04 ± 3.05 | 29.86 ± 1.89 / 49.82 ± 1.71 | 6.67 ± 1.87 / 29.53 ± 1.25 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.1 | 12.9.1 | 12.9.1 |
| Qwen/Qwen1.5-4B-Chat (few-shot) | 3950 | 152 | 32768 | False | 4,347 ± 893 / 1,135 ± 365 | 3.00 | 35.96 ± 2.61 / 28.58 ± 2.58 | 42.04 ± 1.42 / 60.76 ± 1.41 | 8.65 ± 1.52 / 49.56 ± 3.60 | 53.68 ± 0.94 / 59.73 ± 0.86 | 63.22 ± 1.14 / 16.73 ± 1.50 | 37.79 ± 1.24 / 52.64 ± 0.99 | 29.62 ± 1.33 / 52.29 ± 1.02 | 16.87 ± 1.18 / 37.41 ± 0.90 | 12.5.2 | 10.0.1 | 12.1.0 | 12.5.2 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) | 7242 | 32 | 32768 | True | 2,461 ± 476 / 773 ± 248 | 3.02 | 30.16 ± 4.47 / 25.03 ± 3.01 | 48.49 ± 2.41 / 63.06 ± 1.91 | 5.52 ± 4.66 / 38.81 ± 4.27 | 52.44 ± 1.32 / 57.22 ± 1.44 | 64.24 ± 1.42 / 18.43 ± 1.20 | 43.57 ± 3.32 / 56.56 ± 2.69 | 35.60 ± 4.28 / 50.86 ± 3.49 | 6.76 ± 2.77 / 28.91 ± 2.38 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 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 | 3.03 | 41.79 ± 2.11 / 32.67 ± 2.33 | 41.86 ± 1.28 / 61.22 ± 0.99 | 11.86 ± 1.80 / 50.92 ± 3.93 | 51.97 ± 0.76 / 59.28 ± 0.61 | 64.86 ± 0.75 / 19.26 ± 0.79 | 29.55 ± 1.68 / 46.85 ± 1.40 | 26.20 ± 2.23 / 51.29 ± 1.34 | 3.64 ± 0.91 / 27.01 ± 0.69 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 3.03 | 48.44 ± 1.69 / 36.99 ± 1.77 | 39.07 ± 1.03 / 56.85 ± 1.91 | 9.72 ± 1.58 / 46.85 ± 3.66 | 51.18 ± 0.92 / 56.54 ± 0.69 | 63.93 ± 0.79 / 17.49 ± 0.73 | 33.11 ± 2.59 / 49.31 ± 2.03 | 18.96 ± 2.16 / 46.29 ± 1.39 | 9.03 ± 1.28 / 31.42 ± 1.04 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| ibm-granite/granite-8b-code-base (few-shot) | 8055 | 49 | 4096 | True | 1,002 ± 95 / 416 ± 105 | 3.03 | 48.55 ± 1.75 / 37.15 ± 1.83 | 39.16 ± 0.95 / 56.83 ± 1.90 | 10.43 ± 1.91 / 46.99 ± 3.74 | 51.28 ± 0.95 / 56.75 ± 0.70 | 63.95 ± 0.80 / 17.51 ± 0.73 | 33.33 ± 2.25 / 49.48 ± 1.77 | 17.65 ± 1.77 / 45.43 ± 1.14 | 8.97 ± 1.07 / 31.39 ± 0.89 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| meta-llama/Llama-2-7b-hf (few-shot) | 6738 | 32 | 4096 | True | 930 ± 310 / 128 ± 43 | 3.07 | 31.77 ± 3.29 / 22.31 ± 2.29 | 43.91 ± 1.94 / 61.54 ± 2.33 | 0.31 ± 0.61 / 33.43 ± 0.23 | 58.44 ± 0.83 / 63.54 ± 0.66 | 65.50 ± 0.82 / 19.96 ± 0.95 | 20.18 ± 1.80 / 38.69 ± 1.57 | 35.69 ± 2.31 / 57.05 ± 1.60 | 7.93 ± 1.49 / 29.76 ± 0.92 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.2.0 |
| Qwen/Qwen1.5-4B (few-shot) | 3950 | 152 | 32768 | True | 3,248 ± 739 / 761 ± 252 | 3.09 | 32.28 ± 3.16 / 23.24 ± 3.51 | 39.62 ± 2.39 / 56.09 ± 2.89 | 5.38 ± 2.18 / 36.31 ± 1.96 | 54.16 ± 0.89 / 60.63 ± 0.75 | 62.74 ± 1.62 / 16.48 ± 1.77 | 37.49 ± 1.84 / 51.62 ± 1.43 | 29.21 ± 3.46 / 52.40 ± 2.50 | 15.58 ± 1.48 / 36.33 ± 1.08 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 | 12.6.1 | 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 | 3.09 | 45.90 ± 2.53 / 33.00 ± 1.93 | 37.11 ± 1.88 / 56.47 ± 1.59 | 11.70 ± 2.16 / 50.31 ± 3.91 | 50.11 ± 0.83 / 55.71 ± 0.49 | 63.86 ± 0.96 / 18.38 ± 0.71 | 32.44 ± 2.29 / 46.63 ± 2.29 | 7.46 ± 1.83 / 39.41 ± 1.17 | 5.62 ± 1.16 / 28.71 ± 0.79 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| tollefj/nordavind-7b-instruct-warm (few-shot) | 7248 | 33 | 2048 | False | 6,450 ± 961 / 2,082 ± 658 | 3.09 | 38.39 ± 3.57 / 24.87 ± 2.52 | 49.44 ± 1.03 / 66.00 ± 0.88 | 7.50 ± 2.07 / 47.53 ± 4.03 | 51.24 ± 1.09 / 57.72 ± 0.98 | 66.09 ± 1.40 / 22.03 ± 1.26 | 3.53 ± 1.44 / 24.18 ± 1.19 | 12.86 ± 2.99 / 40.23 ± 2.31 | 1.29 ± 1.23 / 25.61 ± 0.84 | 12.5.2 | 12.3.2 | 12.3.2 | 12.4.0 | 12.6.1 | 12.3.2 | 12.3.2 | 12.3.2 |
| norallm/normistral-7b-warm-instruct (few-shot) | unknown | 33 | 2048 | True | 6,194 ± 949 / 1,967 ± 619 | 3.13 | 39.83 ± 2.18 / 25.99 ± 1.56 | 47.48 ± 2.00 / 63.93 ± 1.86 | 4.55 ± 2.34 / 42.91 ± 4.05 | 49.23 ± 0.63 / 57.45 ± 0.53 | 66.17 ± 1.09 / 21.29 ± 0.90 | 10.83 ± 2.01 / 28.99 ± 1.32 | 14.66 ± 2.21 / 41.21 ± 0.84 | 2.71 ± 0.74 / 26.10 ± 0.82 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) | 7800 | 100 | 4096 | True | 6,197 ± 1,118 / 1,730 ± 577 | 3.16 | 34.25 ± 2.28 / 30.39 ± 2.14 | 45.67 ± 2.41 / 58.41 ± 3.04 | 10.62 ± 2.37 / 53.20 ± 3.73 | 50.77 ± 2.48 / 56.92 ± 2.42 | 65.67 ± 1.05 / 19.97 ± 0.93 | 2.31 ± 1.92 / 24.65 ± 1.65 | 10.57 ± 2.47 / 40.33 ± 1.67 | 0.64 ± 1.55 / 25.40 ± 0.77 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| google/gemma-2-2b (few-shot) | 2614 | 256 | 8193 | True | 5,235 ± 1,226 / 1,154 ± 366 | 3.16 | 17.29 ± 2.84 / 13.87 ± 2.03 | 34.94 ± 2.71 / 42.58 ± 3.24 | 6.39 ± 2.41 / 45.03 ± 4.32 | 54.94 ± 1.00 / 59.95 ± 1.03 | 64.82 ± 1.05 / 20.37 ± 1.06 | 48.07 ± 1.24 / 60.50 ± 0.88 | 45.03 ± 1.84 / 63.40 ± 1.23 | 9.10 ± 1.03 / 30.51 ± 1.01 | 13.0.0 | 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 | 3.17 | 16.72 ± 2.23 / 15.96 ± 2.08 | 45.89 ± 2.13 / 63.12 ± 1.98 | 11.25 ± 2.33 / 51.88 ± 2.35 | 53.17 ± 0.79 / 59.30 ± 0.66 | 66.51 ± 1.29 / 22.13 ± 1.19 | 14.84 ± 2.11 / 33.02 ± 1.92 | 27.95 ± 3.54 / 48.55 ± 2.35 | 2.41 ± 1.06 / 26.59 ± 0.72 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| ibm-granite/granite-3.0-2b-base (few-shot) | 2534 | 49 | 4097 | True | 10,187 ± 2,363 / 2,204 ± 737 | 3.21 | 32.34 ± 3.77 / 24.48 ± 3.17 | 29.50 ± 3.63 / 42.61 ± 4.86 | 3.89 ± 1.49 / 37.29 ± 3.65 | 53.67 ± 0.84 / 59.15 ± 0.69 | 64.48 ± 0.83 / 19.25 ± 0.78 | 24.40 ± 2.55 / 42.44 ± 1.87 | 31.93 ± 1.90 / 54.43 ± 1.22 | 10.00 ± 1.73 / 32.31 ± 0.87 | 13.0.0 | 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 | 3.22 | 35.21 ± 2.52 / 23.65 ± 2.52 | 12.73 ± 2.87 / 22.69 ± 1.80 | 4.75 ± 2.45 / 35.71 ± 3.01 | 55.95 ± 1.09 / 61.53 ± 0.75 | 64.28 ± 0.93 / 18.81 ± 0.83 | 46.17 ± 1.83 / 59.04 ± 1.44 | 36.46 ± 2.46 / 57.64 ± 1.59 | 18.01 ± 1.66 / 38.12 ± 1.37 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| LumiOpen/Viking-33B@1000B (few-shot) | 33119 | 131 | 4099 | True | 2,080 ± 700 / 331 ± 117 | 3.23 | 34.22 ± 2.47 / 22.52 ± 1.93 | 45.05 ± 2.49 / 62.23 ± 1.84 | 9.40 ± 2.63 / 44.83 ± 4.69 | 54.92 ± 1.00 / 60.33 ± 0.76 | 62.78 ± 0.97 / 15.36 ± 1.96 | 0.43 ± 1.04 / 24.15 ± 0.82 | 4.81 ± 3.43 / 36.58 ± 2.02 | 1.77 ± 0.76 / 26.00 ± 0.65 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 | 12.9.0 |
| microsoft/Phi-3-mini-128k-instruct (few-shot) | 3821 | 32 | 131072 | True | 7,312 ± 1,668 / 1,609 ± 525 | 3.26 | 4.51 ± 2.12 / 3.71 ± 1.76 | 40.85 ± 1.26 / 59.79 ± 1.32 | 5.43 ± 1.74 / 46.21 ± 4.13 | 51.76 ± 0.73 / 58.44 ± 0.54 | 64.64 ± 0.66 / 19.18 ± 0.74 | 37.45 ± 1.45 / 52.86 ± 1.15 | 36.39 ± 2.23 / 56.50 ± 1.51 | 17.42 ± 0.78 / 38.06 ± 0.55 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 | 12.10.0 | 12.10.0 | 12.10.0 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) | 20918 | 64 | 2048 | True | 1,875 ± 673 / 261 ± 91 | 3.28 | 27.41 ± 3.48 / 19.03 ± 1.76 | 30.23 ± 3.43 / 41.05 ± 4.38 | 11.34 ± 2.73 / 46.62 ± 5.48 | 52.80 ± 0.68 / 59.56 ± 0.57 | 64.47 ± 1.21 / 18.39 ± 1.63 | 11.04 ± 2.43 / 29.26 ± 1.97 | 22.71 ± 2.48 / 46.50 ± 1.86 | 3.03 ± 1.08 / 26.49 ± 0.59 | 9.3.1 | 12.10.0 | 9.3.1 | 9.3.1 | 9.3.1 | 12.9.0 | 12.9.0 | 9.3.1 |
| norallm/normistral-7b-warm (few-shot) | 7248 | 33 | 2048 | True | 3,175 ± 456 / 1,186 ± 354 | 3.30 | 37.80 ± 2.75 / 24.74 ± 2.30 | 40.51 ± 1.75 / 55.84 ± 2.46 | 3.35 ± 1.84 / 44.60 ± 4.67 | 49.08 ± 1.74 / 55.58 ± 1.57 | 65.81 ± 1.29 / 21.55 ± 1.19 | -0.90 ± 1.63 / 23.10 ± 1.16 | 3.61 ± 2.89 / 35.10 ± 1.82 | 0.40 ± 1.28 / 25.12 ± 0.72 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 12.6.1 | 11.0.0 | 11.0.0 | 11.0.0 |
| allenai/OLMo-1.7-7B-hf (few-shot) | 6888 | 50 | 4096 | True | 3,371 ± 876 / 561 ± 184 | 3.31 | 33.80 ± 2.66 / 25.32 ± 3.06 | 31.57 ± 2.65 / 46.48 ± 3.84 | 2.76 ± 1.76 / 44.96 ± 3.93 | 54.20 ± 1.63 / 59.50 ± 1.54 | 64.19 ± 1.01 / 17.67 ± 1.44 | 17.75 ± 1.41 / 35.70 ± 1.27 | 28.24 ± 2.88 / 52.50 ± 1.77 | 4.50 ± 0.85 / 27.33 ± 0.64 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.4 |
| ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) | 3374 | 49 | 4096 | True | 10,246 ± 3,021 / 1,629 ± 550 | 3.31 | 37.37 ± 2.46 / 26.81 ± 2.24 | 31.44 ± 1.82 / 48.96 ± 2.35 | 5.27 ± 2.40 / 40.63 ± 4.68 | 48.41 ± 1.10 / 55.05 ± 0.97 | 63.82 ± 0.97 / 18.09 ± 0.88 | 18.25 ± 1.54 / 38.38 ± 1.12 | 19.54 ± 2.59 / 46.35 ± 1.91 | 2.64 ± 1.03 / 26.88 ± 0.77 | 13.0.0 | 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 | 3.33 | 28.60 ± 4.69 / 20.29 ± 3.37 | 48.71 ± 1.27 / 60.90 ± 2.95 | 2.30 ± 1.34 / 37.21 ± 2.50 | 53.85 ± 1.73 / 58.96 ± 1.67 | 64.05 ± 0.93 / 16.99 ± 1.44 | 0.55 ± 0.59 / 24.15 ± 0.73 | 0.00 ± 2.29 / 35.66 ± 1.43 | 0.36 ± 1.09 / 25.24 ± 0.60 | 12.10.5 | 12.10.5 | 12.10.5 | 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 | 3.34 | 38.62 ± 3.40 / 27.71 ± 3.01 | 35.47 ± 1.35 / 52.70 ± 2.05 | 5.07 ± 1.76 / 43.91 ± 4.86 | 45.21 ± 0.84 / 50.96 ± 0.94 | 62.50 ± 0.59 / 15.45 ± 0.50 | 13.46 ± 2.03 / 33.24 ± 1.59 | 15.31 ± 3.62 / 43.65 ± 2.19 | 6.00 ± 1.15 / 29.24 ± 0.76 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| 01-ai/Yi-6B (few-shot) | 6061 | 64 | 4096 | True | 6,435 ± 1,316 / 1,632 ± 549 | 3.35 | 35.08 ± 2.24 / 25.02 ± 2.03 | 4.00 ± 2.43 / 18.67 ± 0.94 | 3.68 ± 2.25 / 35.69 ± 1.87 | 55.09 ± 0.79 / 60.88 ± 0.55 | 64.15 ± 1.03 / 18.95 ± 0.93 | 34.07 ± 2.13 / 50.17 ± 1.60 | 33.75 ± 2.28 / 54.22 ± 1.75 | 13.61 ± 1.51 / 34.38 ± 1.20 | 9.3.2 | 10.0.0 | 10.0.0 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| google/gemma-2b (few-shot) | 2506 | 256 | 8192 | True | 6,087 ± 1,046 / 1,902 ± 563 | 3.39 | 19.97 ± 3.91 / 16.51 ± 3.20 | 40.21 ± 1.00 / 46.73 ± 1.82 | 2.27 ± 2.39 / 38.71 ± 4.03 | 50.55 ± 1.22 / 56.27 ± 1.09 | 63.07 ± 1.07 / 16.98 ± 0.98 | 15.04 ± 1.21 / 35.51 ± 0.80 | 30.63 ± 3.36 / 50.02 ± 2.13 | 4.90 ± 0.95 / 28.18 ± 0.88 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| meta-llama/Llama-3.2-1B-Instruct (few-shot) | 1236 | 128 | 131073 | False | 7,436 ± 1,846 / 1,508 ± 479 | 3.40 | 35.45 ± 2.41 / 30.39 ± 1.72 | 36.94 ± 1.08 / 49.24 ± 1.41 | 1.12 ± 2.21 / 44.63 ± 2.92 | 44.61 ± 0.84 / 53.34 ± 0.63 | 61.33 ± 1.47 / 15.38 ± 1.23 | 27.14 ± 1.18 / 43.89 ± 1.09 | 18.57 ± 1.82 / 46.35 ± 1.18 | 3.16 ± 0.85 / 26.86 ± 0.87 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| HPLT/gpt-13b-nordic-prerelease (few-shot) | 14030 | 131 | 4099 | True | 3,520 ± 736 / 823 ± 273 | 3.45 | 28.72 ± 2.61 / 20.53 ± 2.46 | 37.19 ± 3.92 / 53.63 ± 4.06 | 2.96 ± 1.73 / 46.67 ± 3.16 | 49.53 ± 1.49 / 54.83 ± 1.67 | 61.62 ± 1.05 / 14.33 ± 1.71 | 1.17 ± 2.28 / 24.76 ± 1.52 | 11.38 ± 3.80 / 38.52 ± 1.85 | -0.16 ± 1.02 / 25.19 ± 0.70 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| ibm-granite/granite-7b-base (few-shot) | 6738 | 32 | 2048 | True | 4,405 ± 1,098 / 1,032 ± 345 | 3.45 | 24.93 ± 4.36 / 22.23 ± 3.32 | 31.65 ± 2.94 / 51.95 ± 2.92 | 0.06 ± 1.20 / 34.30 ± 1.04 | 51.47 ± 1.82 / 57.00 ± 1.94 | 62.67 ± 1.16 / 17.33 ± 1.12 | 16.13 ± 2.67 / 36.80 ± 2.07 | 24.21 ± 2.83 / 49.43 ± 1.98 | 1.27 ± 0.82 / 25.59 ± 0.52 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.8 | 12.10.8 | 12.10.8 |
| ibm-granite/granite-3b-code-instruct-2k (few-shot) | 3483 | 49 | 2048 | True | 9,059 ± 1,947 / 2,201 ± 728 | 3.46 | 37.21 ± 2.75 / 27.74 ± 2.59 | 31.54 ± 2.39 / 50.61 ± 2.88 | 6.30 ± 1.61 / 49.09 ± 2.54 | 44.86 ± 0.80 / 51.51 ± 0.91 | 61.56 ± 0.49 / 13.64 ± 0.97 | 17.92 ± 1.52 / 37.22 ± 1.29 | 10.79 ± 2.32 / 40.86 ± 1.85 | 1.70 ± 1.10 / 26.14 ± 0.76 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| HPLT/gpt-33b-nordic-prerelease (few-shot) | 33119 | 131 | 4099 | True | 501 ± 50 / 238 ± 69 | 3.47 | 25.35 ± 3.59 / 17.77 ± 2.25 | 44.70 ± 1.80 / 60.56 ± 2.77 | 1.43 ± 1.60 / 34.16 ± 1.04 | 52.29 ± 0.96 / 58.32 ± 0.75 | 62.23 ± 0.78 / 14.60 ± 1.38 | -1.01 ± 1.58 / 23.28 ± 1.25 | 1.33 ± 1.98 / 33.83 ± 1.11 | -0.19 ± 0.99 / 25.04 ± 0.66 | 12.9.1 | 12.9.1 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) | 7111 | 64 | 2048 | True | 2,351 ± 448 / 707 ± 216 | 3.49 | 20.84 ± 2.40 / 16.93 ± 1.98 | 18.07 ± 3.41 / 27.21 ± 2.91 | 10.54 ± 2.38 / 48.37 ± 3.58 | 51.22 ± 0.94 / 57.23 ± 0.68 | 65.15 ± 1.16 / 18.96 ± 1.15 | 6.34 ± 2.61 / 28.14 ± 1.77 | 18.00 ± 3.09 / 45.08 ± 1.79 | 5.57 ± 0.93 / 28.66 ± 0.66 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.2.0 |
| stabilityai/stablelm-2-1_6b (few-shot) | 1645 | 100 | 4096 | True | 7,259 ± 2,120 / 1,240 ± 432 | 3.49 | 28.45 ± 1.61 / 22.90 ± 1.63 | 39.09 ± 1.15 / 45.25 ± 0.82 | 1.43 ± 1.26 / 37.98 ± 2.74 | 51.67 ± 2.31 / 57.34 ± 2.60 | 57.67 ± 0.91 / 11.58 ± 0.72 | 11.94 ± 1.37 / 32.30 ± 0.94 | 18.18 ± 2.76 / 45.98 ± 1.68 | 2.67 ± 1.70 / 26.59 ± 1.10 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 | 12.10.8 |
| MaLA-LM/emma-500-llama2-7b (few-shot) | 6738 | 32 | 4096 | True | 6,275 ± 1,193 / 1,755 ± 578 | 3.52 | 28.18 ± 3.39 / 24.25 ± 3.30 | 29.32 ± 7.19 / 41.08 ± 8.29 | 2.90 ± 2.18 / 37.93 ± 4.98 | 56.48 ± 1.11 / 62.92 ± 0.96 | 53.81 ± 1.18 / 9.42 ± 0.33 | 27.86 ± 1.78 / 43.42 ± 1.51 | 34.62 ± 2.93 / 55.21 ± 2.08 | 4.73 ± 0.61 / 27.77 ± 0.53 | 13.0.0 | 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-v2-instruct (few-shot) | 7111 | 64 | 2048 | True | 2,383 ± 451 / 718 ± 221 | 3.53 | 15.35 ± 1.38 / 14.74 ± 1.30 | 2.85 ± 1.54 / 18.05 ± 0.23 | 10.99 ± 2.52 / 54.07 ± 1.93 | 50.51 ± 0.90 / 58.22 ± 0.76 | 66.38 ± 1.07 / 21.48 ± 1.21 | 30.90 ± 3.84 / 43.86 ± 4.18 | 16.81 ± 3.84 / 42.03 ± 2.42 | 11.08 ± 1.35 / 32.13 ± 1.04 | 9.2.0 | 9.2.0 | 9.2.0 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 9.2.0 |
| LumiOpen/Viking-7B (few-shot) | 7550 | 131 | 4096 | True | 4,969 ± 1,109 / 1,134 ± 374 | 3.54 | 23.98 ± 3.74 / 17.18 ± 2.86 | 38.74 ± 2.15 / 49.48 ± 3.14 | 1.04 ± 1.57 / 33.67 ± 0.22 | 50.17 ± 0.92 / 56.29 ± 0.78 | 61.96 ± 0.87 / 13.71 ± 1.26 | -0.06 ± 0.90 / 23.97 ± 0.72 | -1.04 ± 2.16 / 34.90 ± 1.48 | 0.73 ± 0.90 / 25.11 ± 0.51 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| NorwAI/NorwAI-Mistral-7B-instruct (few-shot) | 7537 | 68 | 4096 | False | 3,027 ± 503 / 903 ± 296 | 3.55 | 13.78 ± 2.85 / 11.90 ± 2.13 | 42.16 ± 0.68 / 45.21 ± 0.45 | 3.52 ± 1.90 / 39.81 ± 3.18 | 20.02 ± 2.31 / 31.67 ± 2.19 | 65.03 ± 0.55 / 18.00 ± 0.59 | 40.74 ± 1.91 / 53.17 ± 1.96 | 43.43 ± 1.76 / 61.76 ± 1.32 | 4.50 ± 0.94 / 26.55 ± 0.96 | 12.10.5 | 12.10.4 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| mhenrichsen/danskgpt-tiny-chat (few-shot) | 1100 | 32 | 2048 | False | 1,745 ± 978 / 686 ± 159 | 3.56 | 22.31 ± 2.55 / 19.30 ± 2.14 | 34.05 ± 2.37 / 52.43 ± 2.46 | 0.70 ± 1.11 / 40.47 ± 3.04 | 41.82 ± 2.07 / 48.91 ± 2.47 | 65.27 ± 0.25 / 17.79 ± 0.40 | 6.27 ± 1.52 / 27.63 ± 1.15 | 6.25 ± 3.25 / 37.75 ± 2.53 | 2.11 ± 1.44 / 26.00 ± 0.86 | 9.1.2 | 9.1.2 | 9.1.2 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 9.1.2 |
| google/gemma-2b-it (few-shot) | 2506 | 256 | 8192 | False | 6,471 ± 1,142 / 1,961 ± 584 | 3.57 | 24.44 ± 2.59 / 17.37 ± 2.03 | 34.03 ± 2.50 / 52.42 ± 2.16 | 2.25 ± 1.28 / 42.33 ± 3.11 | 42.12 ± 1.18 / 49.76 ± 1.22 | 62.41 ± 1.21 / 17.66 ± 0.54 | 15.16 ± 1.35 / 31.61 ± 1.92 | 12.67 ± 1.89 / 41.99 ± 1.17 | 2.67 ± 1.17 / 26.82 ± 0.69 | 12.5.2 | 12.1.0 | 12.1.0 | 12.4.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| AI-Sweden-Models/gpt-sw3-6.7b (few-shot) | 7111 | 64 | 2048 | True | 2,285 ± 443 / 671 ± 205 | 3.61 | 18.23 ± 5.87 / 14.77 ± 3.36 | 22.71 ± 5.21 / 35.11 ± 6.59 | 5.03 ± 2.51 / 49.00 ± 2.64 | 49.11 ± 1.16 / 55.56 ± 1.21 | 64.58 ± 1.03 / 18.26 ± 1.00 | 1.11 ± 2.19 / 24.85 ± 1.14 | 8.76 ± 3.09 / 37.32 ± 1.76 | 1.70 ± 0.84 / 26.17 ± 0.62 | 11.0.0 | 11.0.0 | 11.0.0 | 11.0.0 | 12.6.1 | 11.0.0 | 11.0.0 | 11.0.0 |
| ibm-granite/granite-3.0-3b-a800m-base (few-shot) | 3374 | 49 | 4096 | True | 10,504 ± 3,028 / 1,678 ± 559 | 3.61 | 31.80 ± 2.87 / 23.06 ± 2.09 | 6.85 ± 2.25 / 19.42 ± 0.91 | 0.97 ± 1.10 / 36.48 ± 3.91 | 49.83 ± 1.73 / 55.19 ± 1.84 | 63.43 ± 0.90 / 16.85 ± 1.02 | 15.97 ± 1.54 / 36.37 ± 1.08 | 17.19 ± 2.72 / 45.23 ± 1.84 | 3.07 ± 0.91 / 27.05 ± 0.83 | 13.0.0 | 13.0.0 | 13.0.0 | 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 | 3.64 | 29.44 ± 1.81 / 20.31 ± 1.68 | 18.49 ± 2.47 / 35.29 ± 2.83 | 1.73 ± 1.63 / 38.18 ± 4.15 | 44.39 ± 0.80 / 50.40 ± 1.02 | 61.76 ± 1.10 / 15.33 ± 1.17 | 22.03 ± 1.83 / 37.29 ± 1.77 | 12.61 ± 2.43 / 41.82 ± 1.61 | 2.06 ± 0.89 / 26.03 ± 0.67 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) | 1445 | 64 | 2048 | True | 4,544 ± 1,000 / 1,106 ± 359 | 3.66 | 14.73 ± 1.84 / 14.44 ± 1.74 | 27.14 ± 1.93 / 42.34 ± 2.51 | 2.65 ± 1.66 / 40.63 ± 4.02 | 46.38 ± 0.61 / 54.18 ± 0.52 | 65.48 ± 0.73 / 19.58 ± 1.08 | 0.32 ± 0.71 / 23.38 ± 0.86 | 7.00 ± 3.44 / 37.91 ± 1.85 | 0.13 ± 0.25 / 25.04 ± 0.54 | 12.5.2 | 9.3.1 | 12.1.0 | 12.4.0 | 12.6.1 | 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 | 3.68 | 21.98 ± 3.33 / 18.42 ± 2.62 | 37.77 ± 3.06 / 55.35 ± 4.51 | 1.26 ± 1.86 / 34.03 ± 0.86 | 46.03 ± 1.44 / 52.54 ± 1.95 | 58.21 ± 1.54 / 11.61 ± 1.16 | 0.00 ± 0.00 / 24.00 ± 0.73 | -0.87 ± 1.27 / 35.70 ± 1.49 | 0.00 ± 0.00 / 25.18 ± 0.77 | 12.5.2 | 12.3.2 | 12.3.2 | 12.3.2 | 12.6.1 | 12.3.2 | 12.3.2 | 12.3.2 |
| meta-llama/Llama-3.2-1B (few-shot) | 1236 | 128 | 131073 | True | 7,577 ± 1,884 / 1,555 ± 492 | 3.69 | 19.82 ± 4.70 / 17.20 ± 3.57 | 35.97 ± 3.00 / 49.88 ± 3.80 | 2.14 ± 2.61 / 44.16 ± 4.48 | 46.59 ± 5.44 / 51.92 ± 6.14 | 58.65 ± 1.07 / 11.57 ± 0.77 | 2.65 ± 1.26 / 25.17 ± 1.16 | 9.51 ± 2.67 / 40.41 ± 1.62 | -0.88 ± 1.13 / 24.79 ± 0.98 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| norallm/normistral-7b-scratch (few-shot) | 7248 | 33 | 2048 | True | 3,192 ± 454 / 1,198 ± 357 | 3.73 | 14.88 ± 3.92 / 14.02 ± 2.63 | 34.66 ± 1.82 / 46.40 ± 1.53 | 0.29 ± 1.86 / 41.01 ± 2.54 | 42.16 ± 0.88 / 47.49 ± 0.98 | 63.19 ± 1.17 / 17.04 ± 1.07 | 0.58 ± 1.06 / 23.87 ± 1.16 | 4.60 ± 3.52 / 37.09 ± 1.52 | -0.34 ± 1.37 / 24.79 ± 0.73 | 10.0.0 | 10.0.0 | 10.0.0 | 10.0.0 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| NbAiLab/nb-gpt-j-6B-alpaca (few-shot) | 6055 | 50 | 1024 | False | 2,607 ± 592 / 680 ± 208 | 3.74 | 12.95 ± 3.80 / 11.68 ± 2.31 | 27.68 ± 3.64 / 46.61 ± 4.11 | 1.65 ± 1.96 / 47.94 ± 2.55 | 38.60 ± 0.65 / 47.40 ± 0.64 | 63.32 ± 0.32 / 16.03 ± 0.49 | 4.49 ± 1.44 / 27.32 ± 0.89 | 12.81 ± 4.57 / 37.83 ± 2.98 | -0.68 ± 1.31 / 25.00 ± 0.79 | 9.3.1 | 10.0.1 | 10.0.1 | 12.4.0 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) | 471 | 64 | 2048 | True | 5,855 ± 1,373 / 1,223 ± 391 | 3.76 | 11.28 ± 0.96 / 11.02 ± 0.85 | 34.94 ± 3.80 / 49.66 ± 3.96 | 2.08 ± 1.48 / 45.41 ± 3.83 | 36.59 ± 1.41 / 42.03 ± 1.44 | 63.38 ± 0.84 / 15.95 ± 1.16 | -0.09 ± 1.02 / 23.32 ± 0.76 | -0.76 ± 3.27 / 35.04 ± 1.77 | 0.28 ± 0.39 / 25.19 ± 0.77 | 12.5.2 | 9.3.2 | 12.1.0 | 12.4.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| HuggingFaceTB/SmolLM2-1.7B (few-shot) | 1711 | 49 | 8192 | True | 16,249 ± 3,690 / 3,689 ± 1,226 | 3.78 | 24.47 ± 3.42 / 18.70 ± 2.18 | 9.93 ± 2.70 / 23.57 ± 3.00 | 1.22 ± 1.81 / 35.31 ± 1.93 | 42.09 ± 2.63 / 47.54 ± 2.94 | 61.62 ± 0.72 / 14.36 ± 0.73 | 19.65 ± 1.47 / 36.46 ± 1.24 | 19.01 ± 2.56 / 46.27 ± 1.71 | 1.34 ± 1.16 / 25.88 ± 0.65 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) | 1837 | 152 | 32768 | False | 8,304 ± 1,846 / 1,933 ± 617 | 3.78 | 18.00 ± 2.52 / 14.88 ± 1.68 | 26.58 ± 2.81 / 45.88 ± 3.40 | 0.63 ± 1.48 / 33.42 ± 0.28 | 41.66 ± 1.48 / 49.40 ± 1.53 | 57.19 ± 1.18 / 11.87 ± 0.68 | 22.17 ± 1.31 / 39.97 ± 1.18 | 12.85 ± 3.11 / 42.13 ± 2.09 | 7.01 ± 0.62 / 30.16 ± 0.46 | 12.5.2 | 11.0.0 | 12.1.0 | 12.5.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| AI-Sweden-Models/gpt-sw3-1.3b (few-shot) | 1445 | 64 | 2048 | True | 4,608 ± 988 / 1,115 ± 354 | 3.79 | 8.80 ± 5.54 / 8.63 ± 4.48 | 28.65 ± 2.81 / 47.83 ± 3.55 | 2.84 ± 1.81 / 49.21 ± 1.95 | 45.34 ± 0.88 / 51.59 ± 0.80 | 62.17 ± 1.12 / 14.96 ± 1.16 | -1.31 ± 1.31 / 24.58 ± 0.99 | 3.02 ± 3.77 / 36.58 ± 2.16 | -0.33 ± 1.17 / 24.65 ± 0.48 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| Qwen/Qwen1.5-1.8B (few-shot) | 1837 | 152 | 32768 | True | 5,666 ± 1,328 / 1,256 ± 408 | 3.82 | 9.83 ± 3.50 / 8.97 ± 2.64 | 29.03 ± 2.48 / 46.75 ± 3.69 | 0.56 ± 0.87 / 33.34 ± 0.23 | 46.43 ± 0.74 / 53.20 ± 0.47 | 56.43 ± 1.74 / 11.67 ± 1.17 | 14.86 ± 1.85 / 33.52 ± 1.63 | 17.56 ± 2.63 / 45.31 ± 1.78 | 4.78 ± 1.48 / 27.73 ± 1.32 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| state-spaces/mamba-2.8b-hf (few-shot) | 2768 | 50 | 32769 | True | 2,722 ± 495 / 766 ± 250 | 3.87 | 17.58 ± 1.95 / 15.48 ± 1.39 | 10.47 ± 3.28 / 19.91 ± 2.67 | 1.23 ± 1.53 / 36.92 ± 3.53 | 42.56 ± 1.07 / 49.37 ± 1.19 | 62.56 ± 1.43 / 17.47 ± 1.30 | 2.18 ± 1.10 / 24.56 ± 1.33 | 4.94 ± 4.46 / 38.22 ± 2.74 | 1.84 ± 0.96 / 26.18 ± 0.79 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| allenai/OLMo-7B (few-shot) | 6888 | 50 | 2051 | True | 5,403 ± 1,133 / 1,294 ± 423 | 3.89 | 26.76 ± 3.11 / 19.46 ± 2.38 | 30.76 ± 4.38 / 44.83 ± 4.36 | 0.55 ± 1.73 / 39.40 ± 4.57 | 45.65 ± 1.22 / 52.49 ± 1.01 | 50.86 ± 0.68 / 9.46 ± 0.54 | 0.26 ± 1.33 / 23.32 ± 0.83 | 6.94 ± 1.82 / 37.66 ± 1.18 | -0.11 ± 0.71 / 24.99 ± 0.40 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| mhenrichsen/danskgpt-tiny (few-shot) | 1100 | 32 | 2048 | True | 8,597 ± 1,983 / 1,926 ± 600 | 3.90 | 14.13 ± 3.50 / 12.15 ± 3.14 | 26.31 ± 5.33 / 44.07 ± 6.36 | -0.54 ± 1.46 / 44.56 ± 3.34 | 32.12 ± 1.62 / 38.99 ± 1.42 | 62.61 ± 0.99 / 15.12 ± 0.59 | -2.76 ± 1.71 / 22.41 ± 1.17 | 5.08 ± 2.61 / 35.14 ± 1.72 | -0.70 ± 0.94 / 24.83 ± 0.59 | 0.0.0 | 0.0.0 | 0.0.0 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 0.0.0 |
| AI-Sweden-Models/gpt-sw3-356m (few-shot) | 471 | 64 | 2048 | True | 5,758 ± 1,348 / 1,215 ± 391 | 3.92 | 16.13 ± 4.02 / 14.90 ± 3.13 | 27.61 ± 2.14 / 39.77 ± 1.85 | 1.96 ± 2.25 / 38.40 ± 2.99 | 34.79 ± 1.52 / 39.67 ± 1.69 | 59.05 ± 1.42 / 12.41 ± 1.13 | 1.00 ± 1.72 / 23.91 ± 0.88 | 4.85 ± 3.16 / 36.78 ± 1.41 | 0.28 ± 0.38 / 25.19 ± 0.78 | 9.3.1 | 9.3.1 | 9.3.2 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.2 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) | 620 | 152 | 32768 | False | 11,740 ± 3,000 / 2,209 ± 721 | 4.06 | 17.38 ± 2.04 / 15.74 ± 1.99 | 10.72 ± 3.35 / 25.21 ± 3.80 | 1.32 ± 1.08 / 42.05 ± 3.69 | 34.58 ± 0.97 / 40.37 ± 1.02 | 55.87 ± 5.22 / 11.87 ± 1.03 | 4.56 ± 1.88 / 25.87 ± 1.72 | 22.41 ± 3.16 / 42.73 ± 0.96 | 1.71 ± 0.99 / 25.84 ± 0.79 | 12.5.2 | 11.0.0 | 12.1.0 | 12.4.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| Qwen/Qwen1.5-0.5B (few-shot) | 620 | 152 | 32768 | True | 11,371 ± 2,924 / 2,122 ± 692 | 4.10 | 19.01 ± 1.91 / 17.08 ± 1.83 | 8.88 ± 1.86 / 24.27 ± 2.45 | 0.66 ± 1.41 / 37.98 ± 4.14 | 32.78 ± 2.33 / 38.31 ± 2.81 | 55.57 ± 1.04 / 8.04 ± 0.82 | 7.21 ± 1.78 / 29.73 ± 1.08 | 16.56 ± 3.13 / 42.30 ± 1.26 | 0.62 ± 1.30 / 25.65 ± 0.72 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| allenai/OLMo-7B-Twin-2T (few-shot) | 6888 | 50 | 2051 | True | 5,484 ± 1,125 / 1,317 ± 425 | 4.10 | 7.52 ± 3.92 / 6.60 ± 2.84 | 18.30 ± 3.89 / 27.62 ± 5.78 | 3.23 ± 1.94 / 45.74 ± 3.06 | 46.35 ± 1.42 / 51.37 ± 1.43 | 53.01 ± 1.10 / 10.72 ± 0.80 | 2.17 ± 1.53 / 23.73 ± 0.99 | 0.22 ± 2.74 / 35.08 ± 1.48 | -0.65 ± 1.58 / 24.75 ± 1.03 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) | 186 | 64 | 2048 | True | 7,717 ± 1,553 / 2,013 ± 625 | 4.21 | 13.98 ± 1.54 / 13.46 ± 1.42 | 6.37 ± 3.38 / 25.43 ± 4.09 | 0.41 ± 0.80 / 33.31 ± 0.24 | 20.46 ± 2.90 / 24.27 ± 3.23 | 60.87 ± 0.92 / 12.82 ± 1.14 | 0.53 ± 1.10 / 24.39 ± 0.85 | 4.72 ± 3.89 / 35.76 ± 1.86 | -0.07 ± 0.75 / 24.90 ± 0.90 | 11.0.0 | 9.3.2 | 11.0.0 | 12.4.0 | 12.6.1 | 11.0.0 | 11.0.0 | 11.0.0 |
| RuterNorway/Llama-2-7b-chat-norwegian (few-shot) | unknown | 32 | 4096 | False | 10,890 ± 2,686 / 2,186 ± 750 | 4.27 | 10.12 ± 1.24 / 9.84 ± 1.12 | 10.65 ± 3.65 / 28.33 ± 5.27 | -0.66 ± 1.24 / 33.61 ± 0.26 | 26.08 ± 3.96 / 28.87 ± 4.21 | 56.92 ± 0.98 / 8.57 ± 0.76 | 0.10 ± 1.50 / 26.50 ± 1.00 | 4.29 ± 5.87 / 35.00 ± 1.75 | -0.88 ± 1.17 / 24.43 ± 0.74 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| HuggingFaceTB/SmolLM2-360M (few-shot) | 362 | 49 | 8192 | True | 22,023 ± 6,203 / 3,675 ± 1,231 | 4.31 | 12.68 ± 1.39 / 12.32 ± 1.19 | 3.61 ± 2.69 / 19.01 ± 3.95 | 1.79 ± 0.97 / 36.23 ± 3.19 | 28.12 ± 3.14 / 32.48 ± 3.57 | 56.85 ± 1.37 / 10.17 ± 1.17 | -0.03 ± 0.59 / 23.99 ± 0.76 | 6.03 ± 3.05 / 37.58 ± 1.59 | 0.20 ± 0.86 / 25.12 ± 0.70 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) | 362 | 49 | 8192 | True | 21,777 ± 6,115 / 3,617 ± 1,211 | 4.38 | 8.97 ± 3.18 / 8.62 ± 2.72 | 2.66 ± 2.70 / 16.29 ± 2.34 | 1.65 ± 1.38 / 44.50 ± 3.21 | 24.92 ± 1.68 / 28.73 ± 1.90 | 55.39 ± 0.68 / 10.01 ± 0.63 | 0.28 ± 0.93 / 23.92 ± 0.72 | 3.55 ± 3.45 / 35.45 ± 1.54 | -0.41 ± 1.41 / 25.02 ± 0.71 | 13.1.0 | 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 | 4.44 | 12.11 ± 1.07 / 11.48 ± 1.07 | 2.61 ± 3.22 / 18.95 ± 3.93 | 0.25 ± 1.87 / 39.65 ± 4.00 | 14.02 ± 2.56 / 16.74 ± 2.74 | 56.53 ± 0.95 / 8.45 ± 0.77 | 1.05 ± 1.51 / 26.37 ± 0.83 | 10.81 ± 4.60 / 38.73 ± 1.77 | -0.50 ± 0.85 / 24.15 ± 0.67 | 13.1.0 | 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 | 4096 | True | 3,024 ± 496 / 909 ± 301 | 4.44 | 12.82 ± 2.64 / 12.37 ± 1.95 | 3.55 ± 3.64 / 22.75 ± 4.02 | 0.68 ± 1.41 / 35.13 ± 0.98 | 19.85 ± 1.75 / 24.31 ± 1.88 | 55.58 ± 0.58 / 10.39 ± 0.63 | -0.11 ± 1.59 / 25.69 ± 0.65 | -2.13 ± 4.41 / 33.89 ± 3.03 | 0.88 ± 0.62 / 25.49 ± 0.74 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| allenai/OLMo-1B (few-shot) | 1177 | 50 | 2051 | True | 8,536 ± 1,926 / 1,940 ± 619 | 4.45 | 13.39 ± 2.60 / 12.39 ± 2.46 | 17.94 ± 5.58 / 32.80 ± 3.63 | -2.02 ± 2.28 / 40.63 ± 4.12 | 23.65 ± 2.96 / 26.24 ± 3.20 | 48.87 ± 1.42 / 5.39 ± 0.62 | -0.33 ± 0.61 / 23.91 ± 0.71 | 0.05 ± 2.96 / 34.67 ± 1.78 | -0.08 ± 0.81 / 25.21 ± 0.56 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 | 12.6.1 | 12.1.0 | 12.1.0 | 12.1.0 |
| NbAiLab/nb-gpt-j-6B-v2 (few-shot) | 6051 | 50 | 1024 | False | 2,556 ± 580 / 681 ± 214 | 4.47 | 0.24 ± 0.25 / 0.25 ± 0.21 | 27.80 ± 6.39 / 43.80 ± 5.16 | 0.56 ± 0.51 / 34.04 ± 1.28 | 6.84 ± 6.83 / 21.33 ± 6.27 | 53.76 ± 0.47 / 11.17 ± 0.49 | -1.83 ± 1.68 / 23.94 ± 1.25 | 0.99 ± 3.76 / 34.10 ± 2.62 | -0.48 ± 0.94 / 24.73 ± 0.61 | 9.3.1 | 10.0.1 | 11.0.0 | 12.5.1 | 12.6.1 | 11.0.0 | 11.0.0 | 11.0.0 |
| AI-Sweden-Models/gpt-sw3-126m (few-shot) | 186 | 64 | 2048 | True | 8,958 ± 1,815 / 2,240 ± 696 | 4.53 | 3.43 ± 2.66 / 5.56 ± 1.90 | 9.18 ± 4.25 / 26.36 ± 3.94 | -0.22 ± 1.53 / 34.20 ± 0.84 | 16.64 ± 3.32 / 19.46 ± 3.63 | 52.34 ± 1.60 / 8.84 ± 0.78 | -0.58 ± 0.97 / 24.00 ± 0.77 | 5.18 ± 4.75 / 36.68 ± 2.20 | -1.28 ± 0.99 / 24.75 ± 0.93 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.2.0 |
| RJuro/kanelsnegl-v0.1 (few-shot) | 7242 | 32 | 512 | True | 5,847 ± 1,029 / 1,640 ± 525 | 4.53 | 0.00 ± 0.00 / 0.00 ± 0.00 | 13.00 ± 4.17 / 24.41 ± 3.12 | 0.00 ± 0.00 / 33.25 ± 0.23 | 0.00 ± 0.00 / 12.39 ± 1.52 | 61.25 ± 0.17 / 12.03 ± 0.21 | 0.00 ± 0.00 / 24.00 ± 0.73 | 0.00 ± 0.00 / 35.86 ± 1.26 | 0.04 ± 0.14 / 25.18 ± 0.77 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 9.3.1 |
| RJuro/kanelsnegl-v0.2 (few-shot) | 7242 | 32 | 512 | True | 1,373 ± 120 / 709 ± 172 | 4.58 | 0.00 ± 0.00 / 0.00 ± 0.00 | 4.81 ± 2.69 / 19.31 ± 1.01 | 0.00 ± 0.00 / 33.25 ± 0.23 | 0.00 ± 0.00 / 30.05 ± 4.99 | 61.06 ± 0.14 / 12.02 ± 0.15 | 0.00 ± 0.00 / 24.00 ± 0.73 | 0.00 ± 0.00 / 35.86 ± 1.26 | 0.15 ± 0.64 / 25.21 ± 0.79 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 10.0.1 | 10.0.1 | 11.0.0 |
| HuggingFaceTB/SmolLM2-135M (few-shot) | 135 | 49 | 8192 | True | 26,346 ± 7,812 / 4,082 ± 1,372 | 4.65 | 13.72 ± 1.83 / 13.41 ± 1.52 | 3.79 ± 3.11 / 21.06 ± 4.74 | -0.45 ± 0.70 / 39.69 ± 4.95 | 14.69 ± 2.86 / 17.28 ± 3.01 | 47.44 ± 1.55 / 6.04 ± 0.58 | -0.58 ± 2.44 / 25.72 ± 1.40 | 10.99 ± 5.42 / 38.26 ± 1.92 | -0.51 ± 1.30 / 24.79 ± 0.70 | 13.1.0 | 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@sharded (few-shot) | unknown | 50 | 1024 | True | 2,630 ± 605 / 684 ± 217 | 4.68 | 0.36 ± 0.40 / 1.82 ± 1.16 | 11.00 ± 7.09 / 26.09 ± 6.96 | -0.11 ± 1.16 / 33.76 ± 0.86 | 5.15 ± 6.60 / 17.35 ± 5.86 | 51.83 ± 0.77 / 10.14 ± 0.49 | -0.96 ± 1.47 / 23.86 ± 1.33 | 3.51 ± 3.46 / 35.41 ± 2.22 | 0.73 ± 1.39 / 25.54 ± 1.00 | 9.3.1 | 10.0.1 | 10.0.1 | 12.5.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| NorGLM/NorGPT-369M (few-shot) | unknown | 64 | 1024 | True | 19,896 ± 5,099 / 3,848 ± 1,251 | 4.73 | 1.13 ± 1.19 / 0.97 ± 1.03 | 2.06 ± 2.30 / 20.38 ± 2.71 | -0.36 ± 0.97 / 41.52 ± 4.00 | 0.32 ± 0.12 / 4.20 ± 0.61 | 54.00 ± 0.80 / 9.08 ± 0.87 | -2.57 ± 2.04 / 23.19 ± 1.37 | 3.26 ± 1.64 / 29.55 ± 2.52 | -0.62 ± 0.87 / 24.55 ± 0.66 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| peter-sk/gpt-neox-da (few-shot) | 1515 | 50 | 1024 | True | 6,025 ± 1,442 / 1,342 ± 431 | 4.86 | 0.64 ± 0.89 / 0.52 ± 0.69 | -0.52 ± 1.72 / 28.55 ± 1.60 | -0.02 ± 1.55 / 36.82 ± 2.52 | 0.48 ± 0.27 / 2.89 ± 0.53 | 50.23 ± 0.89 / 6.09 ± 0.27 | 0.90 ± 0.92 / 26.20 ± 1.02 | 4.10 ± 2.68 / 33.71 ± 1.88 | 0.04 ± 1.16 / 25.21 ± 0.48 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 | 12.6.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| 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 / 18.12 ± 0.19 | 0.00 ± 0.00 / 33.25 ± 0.23 | 0.02 ± 0.02 / 0.03 ± 0.03 | 42.82 ± 0.93 / 0.20 ± 0.02 | 4.55 ± 2.15 / 25.74 ± 1.15 | -1.17 ± 3.12 / 34.84 ± 1.63 | -1.26 ± 1.34 / 24.88 ± 0.69 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| ai-forever/mGPT (few-shot) | unknown | 100 | 1024 | True | 11,734 ± 3,124 / 2,174 ± 720 | 5.15 | 0.65 ± 0.68 / 0.59 ± 0.63 | 2.61 ± 2.75 / 20.51 ± 2.48 | -0.73 ± 1.72 / 41.15 ± 3.71 | 1.99 ± 1.69 / 2.68 ± 1.87 | 35.64 ± 4.11 / 4.70 ± 2.01 | -0.61 ± 0.54 / 24.71 ± 1.18 | 6.94 ± 3.67 / 38.18 ± 1.72 | -1.12 ± 0.87 / 24.71 ± 0.88 | 9.3.1 | 10.0.1 | 11.0.0 | 12.5.1 | 12.6.1 | 11.0.0 | 11.0.0 | 11.0.0 |
| Sigurdur/icebreaker (few-shot) | 110 | 32 | 1024 | False | 48,619 ± 7,681 / 13,831 ± 4,404 | 5.28 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 18.12 ± 0.19 | 0.00 ± 0.00 / 33.25 ± 0.23 | 0.00 ± 0.00 / 0.04 ± 0.01 | 37.85 ± 0.55 / 0.76 ± 0.08 | 0.26 ± 0.46 / 23.72 ± 0.47 | -0.75 ± 1.90 / 34.96 ± 1.13 | -0.88 ± 0.48 / 24.60 ± 0.50 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |