| layout | title |
|---|---|
leaderboard |
English NLU 🇬🇧 |
Include merged models
| Model ID | Parameters | Vocabulary size | Context | Commercial | Speed | Rank | CoNLL-en | SST5 | ScaLA-en | SQuAD | CoNLL-en version | SST5 version | ScaLA-en version | SQuAD version |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| microsoft/deberta-v3-large | 434 | 128 | 512 | True | 2,521 ± 639 / 440 ± 143 | 1.14 | 91.88 ± 0.70 / 91.67 ± 0.56 | 64.04 ± 1.59 / 67.00 ± 1.56 | 75.10 ± 1.18 / 87.34 ± 0.67 | 74.47 ± 1.03 / 85.54 ± 0.79 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| microsoft/deberta-v3-base | 184 | 128 | 512 | True | 5,367 ± 1,408 / 892 ± 292 | 1.32 | 91.57 ± 0.52 / 91.20 ± 0.41 | 61.66 ± 0.85 / 60.80 ± 2.63 | 68.74 ± 1.72 / 83.85 ± 1.05 | 68.69 ± 0.56 / 80.29 ± 0.36 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| google/electra-base-discriminator | 109 | 31 | 512 | True | 9,977 ± 2,342 / 1,855 ± 603 | 1.41 | 89.83 ± 0.47 / 88.64 ± 0.50 | 63.55 ± 1.20 / 60.22 ± 2.49 | 67.87 ± 1.58 / 83.57 ± 0.86 | 58.27 ± 1.71 / 69.68 ± 1.34 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| Qwen/QwQ-32B-Preview (few-shot) | 32764 | 152 | 32768 | True | 2,258 ± 1,221 / 198 ± 67 | 1.45 | 76.84 ± 1.07 / 71.81 ± 0.77 | 68.94 ± 0.65 / 68.76 ± 1.24 | 57.74 ± 2.22 / 78.11 ± 1.52 | 71.22 ± 1.19 / 86.06 ± 0.60 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| gpt-4-0613 (few-shot, val) | unknown | 100 | 8191 | True | 597 ± 197 / 93 ± 33 | 1.48 | 78.06 ± 2.73 / 70.76 ± 3.80 | 69.06 ± 2.20 / 76.04 ± 1.60 | 55.76 ± 3.84 / 76.34 ± 1.44 | 67.35 ± 1.98 / 85.76 ± 0.77 | 12.2.0 | 12.1.0 | 12.2.0 | 12.2.0 |
| intfloat/multilingual-e5-large-instruct | 560 | 250 | 514 | True | 5,947 ± 1,301 / 1,129 ± 374 | 1.49 | 91.43 ± 0.52 / 91.15 ± 0.44 | 66.42 ± 1.01 / 64.56 ± 1.33 | 53.05 ± 12.06 / 75.49 ± 6.21 | 61.34 ± 1.79 / 74.85 ± 1.26 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| FacebookAI/roberta-large | 354 | 50 | 512 | True | 4,542 ± 1,120 / 845 ± 267 | 1.52 | 91.53 ± 0.85 / 91.21 ± 0.76 | 62.92 ± 1.84 / 62.60 ± 3.18 | 48.77 ± 15.71 / 71.46 ± 10.95 | 71.23 ± 0.84 / 81.98 ± 0.65 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| meta-llama/Llama-3.1-405B-Instruct-FP8 (few-shot) | 405869 | 128 | 131072 | True | 799 ± 246 / 112 ± 38 | 1.52 | 82.86 ± 0.87 / 81.12 ± 1.04 | 70.60 ± 1.14 / 73.47 ± 1.06 | 53.80 ± 1.81 / 76.34 ± 1.02 | 62.69 ± 1.45 / 82.32 ± 0.61 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| intfloat/multilingual-e5-large | 560 | 250 | 512 | True | 6,732 ± 1,273 / 1,633 ± 523 | 1.54 | 91.69 ± 0.67 / 91.29 ± 0.54 | 64.37 ± 1.28 / 65.16 ± 2.10 | 53.58 ± 10.20 / 74.70 ± 7.53 | 60.47 ± 1.61 / 73.00 ± 1.37 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| FacebookAI/roberta-base | 124 | 50 | 512 | True | 13,354 ± 3,334 / 2,451 ± 777 | 1.55 | 91.00 ± 0.40 / 90.70 ± 0.31 | 59.54 ± 1.98 / 59.76 ± 3.06 | 57.29 ± 2.88 / 77.93 ± 1.57 | 62.75 ± 0.77 / 73.75 ± 0.74 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| gpt-4-1106-preview (few-shot, val) | unknown | 100 | 128126 | True | 576 ± 221 / 81 ± 28 | 1.57 | 81.79 ± 1.39 / 65.51 ± 4.16 | 67.55 ± 2.34 / 74.04 ± 1.80 | 51.21 ± 4.96 / 75.11 ± 2.42 | 66.60 ± 1.45 / 84.48 ± 0.76 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 |
| google-bert/bert-large-cased | 333 | 29 | 512 | True | 5,051 ± 981 / 1,147 ± 372 | 1.59 | 89.84 ± 0.48 / 89.25 ± 0.46 | 58.19 ± 1.32 / 58.14 ± 1.69 | 63.62 ± 1.90 / 80.92 ± 1.03 | 55.17 ± 0.92 / 67.33 ± 0.89 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| meta-llama/Llama-3.1-70B-Instruct (few-shot) | 70554 | 128 | 131072 | True | 1,409 ± 457 / 186 ± 63 | 1.59 | 83.16 ± 0.92 / 78.18 ± 0.71 | 69.96 ± 0.89 / 72.99 ± 0.72 | 50.83 ± 1.22 / 74.22 ± 0.70 | 60.82 ± 1.25 / 81.99 ± 0.50 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| microsoft/mdeberta-v3-base | 278 | 251 | 512 | True | 20,637 ± 3,925 / 4,497 ± 1,502 | 1.60 | 91.83 ± 0.50 / 91.40 ± 0.43 | 53.75 ± 1.47 / 56.40 ± 2.82 | 62.11 ± 1.53 / 80.67 ± 0.77 | 62.10 ± 1.03 / 73.26 ± 0.85 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| AI-Sweden-Models/roberta-large-1160k | 354 | 50 | 512 | True | 14,014 ± 2,384 / 3,625 ± 1,146 | 1.61 | 89.53 ± 0.40 / 89.37 ± 0.30 | 53.90 ± 1.96 / 54.63 ± 2.32 | 55.31 ± 2.36 / 76.38 ± 1.93 | 69.89 ± 0.99 / 80.82 ± 0.97 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| Qwen/Qwen2.5-72B-Instruct (few-shot) | 72706 | 152 | 32768 | True | 1,219 ± 412 / 158 ± 53 | 1.62 | 75.84 ± 1.19 / 69.70 ± 0.91 | 68.66 ± 1.08 / 74.39 ± 0.68 | 56.46 ± 2.43 / 76.75 ± 1.60 | 58.39 ± 1.84 / 81.86 ± 0.68 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Meta-Llama-3-70B (few-shot, val) | 70554 | 128 | 8192 | True | 312 ± 55 / 177 ± 51 | 1.62 | 79.06 ± 2.34 / 74.41 ± 2.24 | 65.53 ± 2.61 / 68.71 ± 2.08 | 46.28 ± 4.01 / 72.38 ± 2.33 | 75.20 ± 1.68 / 86.90 ± 1.14 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| google/rembert | 575 | 250 | 512 | True | 11,736 ± 2,822 / 2,102 ± 677 | 1.63 | 90.17 ± 0.50 / 89.85 ± 0.49 | 51.74 ± 10.59 / 58.97 ± 6.34 | 55.55 ± 1.66 / 77.55 ± 0.89 | 69.02 ± 1.23 / 81.57 ± 1.05 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| gpt-4o-2024-05-13 (few-shot, val) | unknown | 200 | 128000 | True | 916 ± 329 / 114 ± 38 | 1.65 | 83.48 ± 1.52 / 75.51 ± 2.26 | 62.74 ± 2.04 / 71.28 ± 1.46 | 46.56 ± 3.35 / 71.13 ± 1.97 | 65.41 ± 1.96 / 84.78 ± 0.68 | 12.10.0 | 12.10.2 | 12.10.2 | 12.10.0 |
| ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot) | 28411 | 256 | 4096 | True | 3,633 ± 1,236 / 777 ± 220 | 1.66 | 81.06 ± 0.87 / 75.22 ± 1.31 | 68.92 ± 1.04 / 72.90 ± 0.74 | 49.06 ± 1.46 / 72.52 ± 0.82 | 61.27 ± 1.63 / 81.48 ± 0.86 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| VAGOsolutions/SauerkrautLM-7b-LaserChat (few-shot) | 7242 | 32 | 4096 | False | 4,413 ± 1,265 / 551 ± 184 | 1.66 | 72.31 ± 0.95 / 58.34 ± 1.84 | 69.64 ± 0.81 / 74.44 ± 0.54 | 46.08 ± 1.45 / 71.39 ± 0.74 | 72.23 ± 1.24 / 86.80 ± 0.57 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) | 10732 | 32 | 4096 | True | 3,780 ± 906 / 799 ± 261 | 1.67 | 69.50 ± 1.14 / 63.41 ± 0.77 | 70.01 ± 0.93 / 59.77 ± 0.59 | 41.35 ± 2.01 / 70.11 ± 0.82 | 76.79 ± 0.43 / 89.35 ± 0.19 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 |
| AI-Sweden-Models/roberta-large-1350k | 354 | 50 | 512 | True | 5,744 ± 969 / 1,539 ± 492 | 1.69 | 89.48 ± 0.86 / 89.32 ± 0.69 | 51.88 ± 6.25 / 56.03 ± 4.61 | 50.69 ± 4.90 / 73.54 ± 2.97 | 69.46 ± 1.02 / 80.82 ± 0.75 | 10.0.1 | 10.0.1 | 10.0.1 | 10.0.1 |
| google-bert/bert-large-uncased | 334 | 31 | 512 | True | 4,711 ± 1,074 / 933 ± 302 | 1.70 | 88.80 ± 0.53 / 87.48 ± 0.71 | 57.94 ± 1.17 / 58.50 ± 2.31 | 59.27 ± 2.55 / 79.17 ± 1.35 | 52.38 ± 0.93 / 63.79 ± 1.19 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| meta-llama/Llama-3.3-70B-Instruct (few-shot) | 70554 | 128 | 131072 | True | 1,353 ± 443 / 180 ± 61 | 1.72 | 82.35 ± 0.76 / 76.42 ± 0.70 | 71.07 ± 0.91 / 72.62 ± 0.74 | 51.27 ± 1.18 / 74.25 ± 0.77 | 50.23 ± 1.33 / 76.00 ± 0.67 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| CohereForAI/c4ai-command-r-08-2024 (few-shot) | 32296 | 256 | 131072 | False | 1,909 ± 646 / 248 ± 84 | 1.73 | 78.35 ± 1.42 / 68.56 ± 1.40 | 67.62 ± 0.95 / 70.27 ± 1.06 | 46.50 ± 1.03 / 71.67 ± 0.79 | 63.20 ± 1.15 / 80.12 ± 0.66 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| VAGOsolutions/FC-SauerkrautLM-7b-beta (few-shot) | unknown | 32 | 8192 | False | 2,160 ± 514 / 668 ± 256 | 1.74 | 70.15 ± 0.85 / 60.29 ± 2.28 | 69.36 ± 0.87 / 67.37 ± 0.89 | 37.09 ± 2.04 / 68.05 ± 1.30 | 77.39 ± 1.14 / 89.74 ± 0.41 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| claude-3-5-sonnet-20241022 (zero-shot, val) | unknown | unknown | 200000 | True | 193 ± 87 / 55 ± 19 | 1.74 | 82.11 ± 1.42 / 79.77 ± 1.03 | 67.01 ± 2.34 / 71.49 ± 1.89 | 51.09 ± 5.20 / 74.48 ± 2.70 | 52.41 ± 1.56 / 77.79 ± 1.01 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| google/gemma-2-27b-it (few-shot) | 27227 | 256 | 8320 | True | 1,516 ± 257 / 480 ± 148 | 1.74 | 62.40 ± 1.15 / 59.91 ± 1.66 | 68.68 ± 0.87 / 73.25 ± 0.48 | 54.17 ± 2.59 / 76.02 ± 1.67 | 66.96 ± 1.51 / 84.76 ± 0.92 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Llama-2-70b-hf (few-shot, val) | 68977 | 32 | 4221 | True | 1,892 ± 650 / 318 ± 105 | 1.76 | 72.38 ± 1.28 / 66.44 ± 1.74 | 60.98 ± 2.19 / 68.64 ± 2.17 | 43.12 ± 5.21 / 70.12 ± 2.87 | 74.50 ± 3.41 / 86.22 ± 1.70 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| mistralai/Mistral-Nemo-Instruct-2407 (few-shot) | 12248 | 131 | 1024128 | True | 7,095 ± 2,193 / 1,063 ± 344 | 1.76 | 75.24 ± 0.84 / 67.78 ± 2.01 | 63.05 ± 1.41 / 70.34 ± 0.52 | 44.75 ± 2.73 / 71.43 ± 1.71 | 67.70 ± 1.57 / 83.88 ± 1.27 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| intfloat/multilingual-e5-base | 278 | 250 | 512 | True | 14,965 ± 2,890 / 3,322 ± 1,074 | 1.77 | 89.65 ± 0.52 / 89.71 ± 0.48 | 61.46 ± 0.89 / 60.48 ± 2.52 | 51.32 ± 1.98 / 74.21 ± 1.18 | 50.78 ± 1.14 / 63.05 ± 0.89 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (few-shot) | 70554 | 128 | 131072 | True | 1,208 ± 412 / 156 ± 53 | 1.77 | 73.66 ± 1.39 / 60.87 ± 1.81 | 68.56 ± 1.01 / 74.22 ± 0.73 | 51.33 ± 1.21 / 74.14 ± 0.75 | 56.87 ± 1.12 / 79.71 ± 0.44 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| distilbert/distilroberta-base | 82 | 50 | 512 | True | 17,448 ± 4,387 / 3,147 ± 998 | 1.79 | 90.04 ± 0.53 / 89.35 ± 0.53 | 56.08 ± 1.30 / 57.56 ± 1.96 | 54.90 ± 2.47 / 76.59 ± 1.47 | 49.36 ± 1.22 / 59.73 ± 1.02 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| gpt-3.5-turbo-0613 (few-shot, val) | unknown | 100 | 4095 | True | 921 ± 293 / 113 ± 37 | 1.82 | 71.48 ± 2.47 / 69.71 ± 1.59 | 66.41 ± 2.66 / 68.72 ± 1.87 | 41.43 ± 2.57 / 70.34 ± 1.35 | 67.90 ± 1.61 / 85.57 ± 0.84 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| gpt-4o-2024-05-13 (zero-shot, val) | unknown | 200 | 8191 | True | 637 ± 306 / 92 ± 31 | 1.82 | 81.23 ± 1.31 / 72.72 ± 1.69 | 63.46 ± 1.00 / 69.35 ± 1.28 | 46.45 ± 4.58 / 72.89 ± 2.30 | 57.64 ± 1.26 / 81.53 ± 0.66 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| ibm-granite/granite-3.0-8b-instruct (few-shot) | 8171 | 49 | 4096 | True | 1,118 ± 302 / 184 ± 63 | 1.83 | 66.17 ± 1.74 / 57.76 ± 1.30 | 68.03 ± 0.81 / 69.65 ± 1.18 | 39.76 ± 2.51 / 69.54 ± 1.18 | 71.21 ± 1.53 / 84.07 ± 0.91 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| Nexusflow/Starling-LM-7B-beta (few-shot) | 7242 | 32 | 4096 | False | 4,136 ± 1,282 / 668 ± 326 | 1.84 | 72.77 ± 1.02 / 57.29 ± 1.58 | 70.12 ± 0.78 / 74.54 ± 0.50 | 44.68 ± 0.97 / 71.05 ± 0.52 | 57.17 ± 2.60 / 80.36 ± 1.40 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| model-garden-lms/teams-base-finewebs-1m | 135 | 64 | 512 | True | 31,254 ± 9,103 / 5,078 ± 1,655 | 1.84 | 88.34 ± 1.00 / 87.76 ± 0.99 | 58.82 ± 1.65 / 58.36 ± 1.31 | 48.65 ± 7.63 / 73.04 ± 4.18 | 52.30 ± 1.52 / 62.96 ± 1.72 | 14.1.1 | 14.1.1 | 14.1.1 | 14.1.1 |
| skole-gpt-mixtral (few-shot) | unknown | 32 | 32768 | False | 3,583 ± 977 / 686 ± 231 | 1.84 | 67.43 ± 0.90 / 60.40 ± 1.08 | 68.55 ± 1.35 / 69.63 ± 0.98 | 39.75 ± 2.28 / 69.19 ± 1.17 | 65.93 ± 2.77 / 82.86 ± 1.53 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| gpt-4o-mini-2024-07-18 (few-shot, val) | unknown | 200 | 8191 | True | 784 ± 310 / 95 ± 28 | 1.85 | 77.38 ± 1.61 / 66.97 ± 2.42 | 66.75 ± 2.50 / 73.93 ± 1.51 | 52.43 ± 3.69 / 74.46 ± 2.17 | 41.03 ± 6.90 / 67.96 ± 4.99 | 14.0.0 | 14.0.0 | 14.0.0 | 14.0.0 |
| mistralai/Mixtral-8x7B-v0.1 (few-shot) | 46703 | 32 | 32768 | True | 2,363 ± 794 / 311 ± 105 | 1.86 | 65.31 ± 3.21 / 60.19 ± 2.58 | 68.87 ± 0.60 / 66.34 ± 0.90 | 43.07 ± 1.73 / 70.80 ± 1.06 | 63.97 ± 3.33 / 75.92 ± 3.61 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| setu4993/LaBSE | 471 | 501 | 512 | True | 25,418 ± 6,435 / 4,536 ± 1,452 | 1.86 | 90.33 ± 0.62 / 90.31 ± 0.46 | 52.93 ± 1.41 / 58.98 ± 1.52 | 50.70 ± 2.70 / 74.17 ± 1.51 | 53.77 ± 0.57 / 65.07 ± 0.61 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| google-bert/bert-base-uncased | 109 | 31 | 512 | True | 10,296 ± 2,425 / 1,918 ± 624 | 1.88 | 87.62 ± 0.60 / 86.68 ± 0.57 | 54.01 ± 1.49 / 54.63 ± 2.14 | 56.97 ± 2.20 / 77.43 ± 1.23 | 42.37 ± 2.12 / 53.78 ± 2.04 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| gpt-4o-mini-2024-07-18 (zero-shot, val) | unknown | 200 | 8191 | True | 908 ± 303 / 96 ± 36 | 1.89 | 75.80 ± 0.83 / 52.95 ± 1.04 | 61.65 ± 2.17 / 71.46 ± 1.72 | 47.74 ± 4.29 / 73.28 ± 2.23 | 56.98 ± 1.46 / 79.90 ± 0.76 | 14.0.1 | 14.0.1 | 14.0.1 | 14.0.1 |
| google/gemma-2-9b-it (few-shot) | 9242 | 256 | 8320 | True | 2,062 ± 397 / 589 ± 178 | 1.90 | 58.07 ± 2.46 / 51.39 ± 2.35 | 68.40 ± 1.17 / 71.79 ± 0.65 | 51.58 ± 2.03 / 74.57 ± 1.48 | 62.03 ± 1.62 / 81.91 ± 0.76 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| microsoft/Phi-3-mini-4k-instruct (few-shot) | 3821 | 32 | 2047 | True | 8,681 ± 1,650 / 2,177 ± 717 | 1.90 | 68.69 ± 1.08 / 58.53 ± 1.82 | 66.77 ± 0.54 / 70.41 ± 0.88 | 42.14 ± 2.29 / 70.53 ± 0.99 | 63.71 ± 1.70 / 81.26 ± 1.09 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| mistralai/Ministral-8B-Instruct-2410 (few-shot) | 8020 | 131 | 32768 | True | 1,302 ± 323 / 253 ± 86 | 1.90 | 72.40 ± 0.80 / 65.83 ± 1.64 | 63.46 ± 2.10 / 69.49 ± 1.15 | 35.86 ± 7.94 / 65.20 ± 6.98 | 68.42 ± 1.21 / 83.97 ± 0.74 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| 01-ai/Yi-1.5-6B (few-shot) | 6061 | 64 | 4224 | True | 2,867 ± 550 / 793 ± 253 | 1.91 | 55.51 ± 1.48 / 50.61 ± 1.37 | 68.74 ± 0.81 / 58.25 ± 0.31 | 40.81 ± 3.66 / 69.94 ± 1.98 | 72.33 ± 2.68 / 84.50 ± 1.61 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| 152334H/miqu-1-70b-sf (few-shot, val) | 68977 | 32 | 32889 | True | 2,126 ± 676 / 319 ± 104 | 1.91 | 71.83 ± 1.48 / 65.37 ± 1.62 | 62.99 ± 3.04 / 69.81 ± 1.86 | 39.97 ± 3.89 / 69.38 ± 1.87 | 64.42 ± 3.17 / 80.97 ± 1.54 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| mistralai/Mixtral-8x7B-Instruct-v0.1 (few-shot) | 46703 | 32 | 32768 | True | 5,535 ± 1,837 / 760 ± 256 | 1.91 | 70.02 ± 1.35 / 60.95 ± 1.57 | 69.48 ± 0.68 / 71.36 ± 1.02 | 44.59 ± 0.99 / 70.37 ± 0.77 | 55.70 ± 2.73 / 77.76 ± 1.18 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Llama-3.1-8B (few-shot) | 8030 | 128 | 131200 | True | 2,986 ± 823 / 276 ± 94 | 1.92 | 69.86 ± 2.10 / 62.68 ± 2.21 | 66.76 ± 0.72 / 68.58 ± 0.72 | 30.96 ± 2.46 / 61.29 ± 3.61 | 71.39 ± 2.20 / 84.24 ± 1.55 | 12.11.0 | 12.11.0 | 12.11.0 | 13.0.0 |
| nvidia/mistral-nemo-minitron-8b-base (few-shot) | 8414 | 131 | 8192 | True | 2,470 ± 836 / 326 ± 111 | 1.92 | 67.52 ± 3.88 / 61.41 ± 2.66 | 69.03 ± 0.69 / 65.72 ± 2.41 | 40.51 ± 1.93 / 69.82 ± 0.89 | 58.12 ± 2.97 / 72.32 ± 2.85 | 14.1.1 | 14.1.1 | 14.1.1 | 14.1.1 |
| FacebookAI/xlm-roberta-large | 559 | 250 | 512 | True | 17,897 ± 3,921 / 3,463 ± 1,141 | 1.93 | 89.81 ± 0.60 / 89.25 ± 0.72 | 41.97 ± 17.48 / 50.33 ± 9.16 | 35.55 ± 18.61 / 63.79 ± 12.17 | 68.88 ± 1.40 / 79.18 ± 1.17 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) | 70554 | 128 | 8317 | True | 1,673 ± 583 / 275 ± 85 | 1.93 | 81.30 ± 1.35 / 76.64 ± 1.77 | 66.18 ± 2.04 / 72.85 ± 1.27 | 38.10 ± 2.32 / 68.58 ± 1.40 | 53.31 ± 3.61 / 77.76 ± 1.59 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| google/electra-large-discriminator | 334 | 31 | 512 | True | 4,700 ± 1,068 / 930 ± 301 | 1.94 | 67.87 ± 20.05 / 67.30 ± 19.58 | 48.08 ± 14.91 / 53.81 ± 10.11 | 55.46 ± 13.66 / 75.80 ± 8.43 | 70.66 ± 0.80 / 81.84 ± 0.57 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| CohereForAI/aya-expanse-8b (few-shot) | 8028 | 256 | 8192 | False | 2,686 ± 685 / 491 ± 164 | 1.95 | 67.33 ± 1.57 / 53.00 ± 0.88 | 68.67 ± 0.74 / 66.23 ± 0.49 | 31.18 ± 1.63 / 65.23 ± 0.69 | 68.33 ± 2.04 / 84.26 ± 1.04 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| google/gemma-2-9b (few-shot) | 9242 | 256 | 8320 | True | 2,038 ± 406 / 566 ± 172 | 1.95 | 50.90 ± 2.39 / 44.74 ± 1.46 | 68.91 ± 0.89 / 70.46 ± 1.23 | 43.79 ± 3.15 / 71.10 ± 1.74 | 69.17 ± 1.55 / 84.25 ± 1.13 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| mistralai/Mistral-7B-v0.1 (few-shot) | 7242 | 32 | 32768 | True | 1,446 ± 354 / 295 ± 100 | 1.96 | 63.40 ± 2.72 / 56.92 ± 2.17 | 68.17 ± 1.33 / 70.74 ± 0.93 | 30.92 ± 4.81 / 63.79 ± 4.42 | 73.45 ± 1.83 / 84.54 ± 1.42 | 9.1.2 | 9.1.2 | 9.1.2 | 12.5.1 |
| NorwAI/NorwAI-Mixtral-8x7B-instruct (few-shot) | 46998 | 68 | 32768 | True | 9,015 ± 2,966 / 1,121 ± 510 | 2.00 | 63.77 ± 2.22 / 57.86 ± 1.49 | 69.23 ± 0.98 / 66.61 ± 1.42 | 38.49 ± 4.39 / 65.15 ± 4.44 | 57.03 ± 4.40 / 76.18 ± 2.59 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| alpindale/Mistral-7B-v0.2-hf (few-shot) | 7242 | 32 | 32768 | True | 1,841 ± 297 / 651 ± 193 | 2.00 | 61.02 ± 2.70 / 55.57 ± 2.50 | 67.10 ± 0.81 / 70.66 ± 0.76 | 29.82 ± 5.18 / 62.86 ± 4.72 | 73.50 ± 1.67 / 84.26 ± 1.30 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) | 8030 | 128 | 8192 | True | 1,483 ± 377 / 287 ± 97 | 2.00 | 75.02 ± 1.31 / 69.47 ± 1.18 | 67.64 ± 1.12 / 71.04 ± 1.17 | 32.29 ± 3.05 / 64.85 ± 2.07 | 54.84 ± 2.22 / 79.10 ± 1.10 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| mistralai/Mistral-7B-v0.3 (few-shot) | 7248 | 33 | 32768 | True | 1,364 ± 343 / 266 ± 90 | 2.00 | 61.02 ± 2.74 / 55.65 ± 2.55 | 67.29 ± 0.80 / 70.81 ± 0.84 | 30.10 ± 5.12 / 62.99 ± 4.71 | 73.59 ± 1.75 / 84.31 ± 1.35 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.5 |
| robinsmits/Qwen1.5-7B-Dutch-Chat-Sft-Bf16 (few-shot) | 7719 | 152 | 32768 | False | 2,413 ± 463 / 700 ± 220 | 2.00 | 67.52 ± 1.19 / 59.09 ± 2.64 | 63.10 ± 1.92 / 70.11 ± 0.80 | 37.75 ± 2.52 / 67.53 ± 1.75 | 64.88 ± 1.60 / 82.23 ± 0.72 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| VAGOsolutions/SauerkrautLM-7b-HerO (few-shot, val) | 7242 | 32 | 32768 | False | 2,477 ± 467 / 744 ± 232 | 2.01 | 69.26 ± 2.17 / 57.48 ± 2.92 | 68.63 ± 2.65 / 73.31 ± 1.74 | 29.87 ± 3.02 / 63.64 ± 1.60 | 60.92 ± 2.44 / 80.40 ± 1.26 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| CohereForAI/c4ai-command-r-v01 (few-shot) | 34981 | 256 | 8192 | False | 1,919 ± 645 / 248 ± 83 | 2.02 | 71.96 ± 0.83 / 63.08 ± 1.18 | 67.26 ± 0.99 / 68.90 ± 1.29 | 40.81 ± 1.97 / 70.25 ± 1.02 | 49.79 ± 2.48 / 73.04 ± 1.31 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Llama-2-70b-chat-hf (few-shot, val) | 68977 | 32 | 4221 | True | 1,979 ± 621 / 320 ± 105 | 2.02 | 72.80 ± 1.65 / 64.88 ± 3.12 | 63.76 ± 2.53 / 71.14 ± 1.90 | 28.37 ± 4.76 / 62.85 ± 3.04 | 64.70 ± 2.69 / 81.80 ± 1.41 | 12.7.0 | 12.7.0 | 12.7.0 | 12.7.0 |
| model-garden-lms/bert-base-finewebs-951k | 136 | 64 | 512 | True | 36,844 ± 10,678 / 6,215 ± 2,021 | 2.02 | 88.31 ± 0.91 / 87.73 ± 0.87 | 57.50 ± 1.50 / 58.79 ± 1.57 | 40.02 ± 6.98 / 67.76 ± 3.79 | 47.03 ± 1.32 / 58.37 ± 1.75 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Meta-Llama-3-8B (few-shot) | 8030 | 128 | 8192 | True | 1,477 ± 376 / 285 ± 97 | 2.03 | 66.31 ± 2.09 / 58.68 ± 1.95 | 64.30 ± 0.65 / 69.26 ± 0.50 | 28.18 ± 3.96 / 58.97 ± 4.03 | 70.38 ± 3.51 / 82.95 ± 2.38 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| meta-llama/Llama-3.1-8B-Instruct (few-shot) | 8030 | 128 | 131200 | True | 1,473 ± 377 / 283 ± 96 | 2.04 | 76.95 ± 0.95 / 72.47 ± 0.82 | 68.12 ± 0.92 / 72.48 ± 0.53 | 34.34 ± 3.37 / 65.84 ± 1.59 | 47.88 ± 3.37 / 76.21 ± 1.69 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| occiglot/occiglot-7b-de-en-instruct (few-shot) | 7242 | 32 | 32768 | False | 1,584 ± 217 / 635 ± 178 | 2.04 | 60.90 ± 3.17 / 53.69 ± 2.67 | 66.54 ± 1.42 / 69.26 ± 0.83 | 23.60 ± 3.72 / 57.65 ± 4.08 | 75.14 ± 1.51 / 87.25 ± 0.61 | 12.5.2 | 12.3.1 | 12.3.1 | 12.4.0 |
| ibm-granite/granite-3.0-8b-base (few-shot) | 8171 | 49 | 4096 | True | 2,515 ± 625 / 476 ± 159 | 2.05 | 55.76 ± 2.15 / 52.69 ± 1.24 | 66.89 ± 1.11 / 69.52 ± 0.94 | 36.60 ± 2.37 / 67.85 ± 1.19 | 67.55 ± 1.46 / 80.25 ± 1.22 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| model-garden-lms/bert-base-token-dropping-finewebs-901k | 136 | 64 | 512 | True | 36,949 ± 10,732 / 6,211 ± 2,022 | 2.07 | 87.70 ± 0.70 / 87.39 ± 0.55 | 54.00 ± 1.92 / 58.25 ± 2.11 | 39.99 ± 7.03 / 68.38 ± 4.21 | 45.22 ± 1.84 / 55.54 ± 2.15 | 14.1.1 | 14.1.1 | 14.1.1 | 14.1.1 |
| neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) | 8030 | 128 | 131072 | True | 2,996 ± 817 / 284 ± 96 | 2.09 | 59.28 ± 0.97 / 55.81 ± 1.40 | 68.49 ± 0.77 / 58.77 ± 0.44 | 21.95 ± 3.10 / 49.75 ± 3.85 | 78.16 ± 2.12 / 87.44 ± 1.32 | 13.2.0 | 13.2.0 | 13.2.0 | 13.2.0 |
| ibm-granite/granite-3.0-2b-base (few-shot) | 2534 | 49 | 4224 | True | 10,187 ± 2,363 / 2,204 ± 737 | 2.10 | 57.78 ± 1.91 / 50.30 ± 2.29 | 67.81 ± 1.00 / 61.89 ± 1.51 | 22.81 ± 2.71 / 60.07 ± 2.49 | 72.90 ± 1.16 / 83.67 ± 0.66 | 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 | 2.10 | 59.10 ± 1.87 / 51.31 ± 1.87 | 68.41 ± 1.17 / 70.85 ± 0.74 | 25.43 ± 4.22 / 60.79 ± 3.45 | 71.89 ± 2.20 / 82.99 ± 1.78 | 12.5.3 | 12.5.3 | 12.5.3 | 12.5.3 |
| CohereForAI/aya-23-8B (few-shot) | 8028 | 256 | 8192 | False | 2,707 ± 688 / 497 ± 166 | 2.11 | 56.16 ± 3.59 / 51.12 ± 2.58 | 68.27 ± 0.53 / 60.37 ± 0.57 | 23.82 ± 2.16 / 60.83 ± 1.63 | 74.23 ± 1.31 / 85.11 ± 0.73 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| ibm-granite/granite-8b-code-base-4k (few-shot) | 8055 | 49 | 4096 | True | 2,313 ± 423 / 682 ± 210 | 2.11 | 72.76 ± 0.57 / 67.49 ± 0.90 | 62.35 ± 1.68 / 67.34 ± 0.77 | 21.57 ± 2.22 / 59.22 ± 1.69 | 69.80 ± 3.60 / 81.37 ± 2.26 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| ibm-granite/granite-8b-code-base (few-shot) | 8055 | 49 | 4223 | True | 1,002 ± 95 / 416 ± 105 | 2.11 | 72.64 ± 0.61 / 67.38 ± 0.91 | 62.31 ± 1.79 / 67.31 ± 0.86 | 22.38 ± 2.05 / 59.67 ± 1.50 | 69.84 ± 3.57 / 81.40 ± 2.25 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| google/gemma-7b-it (few-shot) | 8538 | 256 | 8317 | False | 1,792 ± 249 / 668 ± 203 | 2.12 | 66.70 ± 0.99 / 61.08 ± 1.16 | 55.62 ± 2.54 / 64.98 ± 2.03 | 31.36 ± 2.63 / 65.21 ± 1.16 | 72.58 ± 0.68 / 84.67 ± 0.91 | 12.10.0 | 12.10.0 | 12.10.0 | 12.10.0 |
| meta-llama/Llama-2-13b-hf (few-shot) | 13016 | 32 | 4096 | True | 2,898 ± 637 / 736 ± 236 | 2.12 | 63.75 ± 2.50 / 59.28 ± 2.20 | 61.85 ± 1.70 / 69.02 ± 0.76 | 26.41 ± 4.93 / 59.67 ± 4.84 | 73.48 ± 2.06 / 85.27 ± 1.15 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 |
| RuterNorway/Llama-2-13b-chat-norwegian (few-shot) | unknown | 32 | 4096 | False | 3,254 ± 1,068 / 484 ± 173 | 2.13 | 64.93 ± 2.24 / 57.95 ± 1.24 | 64.14 ± 1.61 / 68.00 ± 1.67 | 28.08 ± 3.86 / 62.71 ± 2.98 | 62.09 ± 1.68 / 79.57 ± 0.96 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
| google-bert/bert-base-multilingual-cased | 177 | 120 | 512 | True | 14,083 ± 3,264 / 2,738 ± 889 | 2.15 | 89.32 ± 0.47 / 88.95 ± 0.35 | 41.89 ± 1.50 / 47.23 ± 0.75 | 38.34 ± 12.84 / 67.51 ± 6.66 | 55.19 ± 1.66 / 66.42 ± 1.46 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| ibm-granite/granite-3.0-2b-instruct (few-shot) | 2634 | 49 | 4224 | True | 10,194 ± 2,403 / 2,193 ± 731 | 2.15 | 61.97 ± 1.74 / 54.58 ± 1.53 | 67.54 ± 1.33 / 66.16 ± 1.54 | 31.70 ± 2.00 / 65.43 ± 1.09 | 59.78 ± 1.66 / 78.74 ± 0.76 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| meta-llama/Llama-3.2-3B-Instruct (few-shot) | 3213 | 128 | 131200 | False | 10,424 ± 2,641 / 2,081 ± 666 | 2.15 | 68.44 ± 1.14 / 56.80 ± 2.31 | 66.00 ± 1.41 / 70.47 ± 1.02 | 32.04 ± 3.44 / 65.62 ± 1.88 | 49.54 ± 3.13 / 75.26 ± 1.64 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) | 7242 | 32 | 32768 | False | 634 ± 179 / 110 ± 35 | 2.15 | 57.58 ± 2.30 / 47.94 ± 2.89 | 61.44 ± 2.02 / 69.47 ± 0.98 | 34.92 ± 2.40 / 66.67 ± 1.41 | 65.38 ± 1.76 / 81.90 ± 0.57 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 |
| occiglot/occiglot-7b-de-en (few-shot) | 7242 | 32 | 32768 | True | 1,992 ± 319 / 706 ± 211 | 2.15 | 56.07 ± 4.01 / 51.66 ± 3.99 | 65.29 ± 1.43 / 69.38 ± 0.73 | 25.78 ± 2.57 / 61.50 ± 2.24 | 73.13 ± 4.05 / 83.85 ± 2.69 | 12.3.2 | 12.3.1 | 12.3.1 | 12.3.1 |
| google/gemma-7b (few-shot) | 8538 | 256 | 8192 | True | 1,378 ± 260 / 387 ± 119 | 2.16 | 47.20 ± 3.34 / 41.96 ± 3.12 | 63.88 ± 2.24 / 66.49 ± 0.81 | 35.75 ± 2.65 / 66.41 ± 2.26 | 69.40 ± 4.29 / 82.46 ± 2.86 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 |
| senseable/WestLake-7B-v2 (few-shot) | 7242 | 32 | 32768 | False | 5,993 ± 1,028 / 1,742 ± 561 | 2.16 | 70.62 ± 0.90 / 58.92 ± 2.15 | 67.78 ± 1.03 / 72.29 ± 0.47 | 30.99 ± 2.94 / 62.20 ± 2.56 | 49.56 ± 2.85 / 76.72 ± 1.15 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| Qwen/Qwen1.5-4B (few-shot) | 3950 | 152 | 32768 | True | 3,248 ± 739 / 761 ± 252 | 2.18 | 55.45 ± 1.61 / 49.72 ± 1.27 | 60.55 ± 1.54 / 68.53 ± 0.71 | 28.60 ± 3.36 / 60.31 ± 4.06 | 70.49 ± 0.74 / 82.68 ± 0.52 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 |
| gpt-4-1106-preview (zero-shot, val) | unknown | 100 | 8191 | True | 436 ± 152 / 57 ± 21 | 2.18 | 42.40 ± 2.22 / 34.09 ± 2.02 | 65.24 ± 2.14 / 72.51 ± 1.77 | 44.59 ± 4.02 / 71.93 ± 2.06 | 62.94 ± 1.37 / 82.84 ± 0.53 | 14.0.3 | 14.0.3 | 14.0.3 | 14.0.3 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) | 7242 | 32 | 8192 | False | 2,549 ± 472 / 784 ± 245 | 2.18 | 69.16 ± 2.80 / 57.28 ± 2.82 | 63.85 ± 2.16 / 72.40 ± 1.71 | 28.40 ± 3.60 / 62.70 ± 1.51 | 52.69 ± 2.21 / 76.37 ± 1.27 | 9.3.2 | 9.3.2 | 9.3.2 | 12.5.2 |
| ibm-granite/granite-8b-code-instruct-4k (few-shot) | 8055 | 49 | 4096 | True | 5,617 ± 995 / 1,623 ± 540 | 2.19 | 72.59 ± 0.91 / 65.83 ± 1.30 | 61.61 ± 1.45 / 67.09 ± 1.38 | 18.37 ± 2.07 / 56.26 ± 2.62 | 66.68 ± 3.56 / 78.95 ± 2.38 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| Qwen/Qwen1.5-4B-Chat (few-shot) | 3950 | 152 | 32768 | False | 4,347 ± 893 / 1,135 ± 365 | 2.20 | 58.56 ± 1.99 / 54.14 ± 2.01 | 59.62 ± 1.29 / 68.55 ± 0.56 | 28.55 ± 3.97 / 60.49 ± 4.25 | 70.04 ± 0.89 / 82.09 ± 0.84 | 12.5.2 | 10.0.1 | 12.1.0 | 12.5.2 |
| danish-foundation-models/munin-7b-v0.1dev0 (few-shot) | 7242 | 32 | 8192 | True | 6,113 ± 1,044 / 1,790 ± 579 | 2.20 | 56.38 ± 2.95 / 50.80 ± 2.82 | 66.04 ± 1.68 / 65.21 ± 1.48 | 22.15 ± 3.57 / 57.71 ± 4.24 | 71.32 ± 1.41 / 83.70 ± 0.93 | 12.5.2 | 12.5.0 | 12.5.0 | 12.5.0 |
| meta-llama/Llama-2-13b-chat-hf (few-shot) | 13016 | 32 | 4096 | True | 2,849 ± 622 / 723 ± 229 | 2.20 | 68.75 ± 1.54 / 60.01 ± 1.57 | 62.37 ± 1.68 / 67.79 ± 1.51 | 25.07 ± 3.20 / 61.02 ± 2.86 | 61.56 ± 1.18 / 80.11 ± 0.70 | 12.11.0 | 12.10.4 | 12.10.4 | 12.11.0 |
| occiglot/occiglot-7b-eu5-instruct (few-shot) | 7242 | 32 | 32768 | False | 2,088 ± 352 / 706 ± 214 | 2.21 | 56.90 ± 3.08 / 51.16 ± 2.56 | 62.10 ± 1.65 / 68.81 ± 0.76 | 20.17 ± 3.68 / 54.76 ± 4.24 | 75.29 ± 1.37 / 86.48 ± 0.72 | 12.5.2 | 12.2.0 | 12.3.1 | 12.4.0 |
| ZurichNLP/unsup-simcse-xlm-roberta-base | 277 | 250 | 512 | True | 34,520 ± 7,443 / 6,730 ± 2,224 | 2.24 | 85.88 ± 0.99 / 86.21 ± 0.87 | 51.46 ± 1.15 / 51.20 ± 0.50 | 35.83 ± 11.08 / 65.86 ± 4.95 | 43.26 ± 1.61 / 55.52 ± 1.60 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| distilbert/distilbert-base-cased | 65 | 29 | 512 | True | 19,667 ± 3,904 / 4,323 ± 1,422 | 2.24 | 84.75 ± 0.61 / 84.65 ± 0.45 | 50.94 ± 1.56 / 53.60 ± 2.13 | 53.47 ± 1.86 / 75.70 ± 1.27 | 24.93 ± 1.75 / 35.60 ± 2.05 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| meta-llama/Llama-2-7b-hf (few-shot) | 6738 | 32 | 4096 | True | 930 ± 310 / 128 ± 43 | 2.25 | 55.27 ± 2.79 / 50.25 ± 2.12 | 65.16 ± 1.21 / 66.86 ± 1.32 | 20.43 ± 3.69 / 55.98 ± 4.88 | 69.82 ± 2.49 / 81.43 ± 1.73 | 9.2.0 | 9.2.0 | 9.2.0 | 12.5.1 |
| Twitter/twhin-bert-large | 562 | 250 | 512 | True | 9,707 ± 1,664 / 2,549 ± 831 | 2.26 | 89.50 ± 0.47 / 89.39 ± 0.41 | 45.98 ± 2.97 / 49.81 ± 2.03 | 30.58 ± 13.07 / 61.93 ± 7.87 | 48.44 ± 1.37 / 59.47 ± 1.12 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| cstr/Spaetzle-v8-7b (few-shot, val) | 7242 | 32 | 32768 | False | 5,980 ± 1,031 / 1,714 ± 552 | 2.26 | 69.40 ± 1.47 / 54.63 ± 3.27 | 65.39 ± 2.32 / 73.11 ± 1.62 | 26.69 ± 3.88 / 62.82 ± 2.19 | 49.74 ± 2.61 / 75.27 ± 0.99 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| mlabonne/AlphaMonarch-7B (few-shot, val) | 7242 | 32 | 8192 | False | 5,340 ± 1,262 / 1,157 ± 375 | 2.26 | 69.19 ± 2.03 / 55.64 ± 3.53 | 63.77 ± 2.55 / 71.13 ± 1.83 | 28.43 ± 3.97 / 62.28 ± 1.86 | 44.39 ± 2.68 / 71.79 ± 1.25 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| utter-project/EuroLLM-9B-Instruct (few-shot) | 9152 | 128 | 4096 | False | 1,483 ± 321 / 379 ± 158 | 2.26 | 44.81 ± 2.07 / 39.51 ± 1.62 | 62.54 ± 2.18 / 68.78 ± 1.18 | 28.10 ± 4.55 / 62.46 ± 4.36 | 71.71 ± 2.21 / 84.31 ± 1.69 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) | 7242 | 32 | 32768 | False | 2,370 ± 416 / 711 ± 242 | 2.28 | 62.11 ± 1.61 / 52.36 ± 2.00 | 59.91 ± 2.10 / 68.92 ± 1.21 | 30.66 ± 3.60 / 64.32 ± 2.03 | 58.27 ± 2.09 / 77.85 ± 0.70 | 9.3.1 | 9.2.0 | 9.3.1 | 12.4.0 |
| occiglot/occiglot-7b-eu5 (few-shot) | 7242 | 32 | 32768 | True | 2,219 ± 427 / 717 ± 224 | 2.29 | 55.37 ± 2.94 / 51.08 ± 2.87 | 63.32 ± 1.29 / 68.50 ± 0.53 | 18.92 ± 2.39 / 57.96 ± 1.89 | 72.38 ± 2.57 / 83.46 ± 1.49 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) | 6738 | 32 | 4096 | False | 2,643 ± 455 / 800 ± 247 | 2.30 | 62.53 ± 1.35 / 53.42 ± 2.04 | 62.23 ± 1.29 / 68.09 ± 1.34 | 22.71 ± 1.81 / 60.79 ± 1.08 | 64.45 ± 1.39 / 80.79 ± 0.79 | 9.3.1 | 9.3.1 | 9.3.1 | 12.4.0 |
| microsoft/Phi-3-mini-128k-instruct (few-shot) | 3821 | 32 | 131072 | True | 7,312 ± 1,668 / 1,609 ± 525 | 2.30 | 64.09 ± 0.96 / 49.92 ± 2.47 | 46.77 ± 4.36 / 60.99 ± 2.15 | 31.62 ± 2.25 / 63.73 ± 1.79 | 71.25 ± 0.83 / 85.72 ± 0.57 | 12.9.1 | 12.9.1 | 12.9.1 | 12.9.1 |
| NorwAI/NorwAI-Mixtral-8x7B (few-shot) | 46998 | 68 | 32768 | True | 2,368 ± 793 / 317 ± 108 | 2.34 | 63.12 ± 2.34 / 56.38 ± 1.23 | 66.47 ± 1.61 / 69.35 ± 1.31 | 38.82 ± 3.65 / 67.96 ± 2.36 | 29.16 ± 3.45 / 46.82 ± 4.35 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| meta-llama/Llama-3.2-3B (few-shot) | 3213 | 128 | 131200 | True | 3,713 ± 877 / 836 ± 267 | 2.36 | 59.09 ± 1.44 / 52.03 ± 1.96 | 63.29 ± 1.29 / 67.82 ± 0.74 | 13.50 ± 4.14 / 50.33 ± 5.61 | 68.15 ± 2.21 / 81.12 ± 1.18 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| google/gemma-2-2b-it (few-shot) | 2614 | 256 | 8320 | True | 5,374 ± 1,233 / 1,193 ± 377 | 2.37 | 44.36 ± 1.46 / 38.51 ± 1.53 | 66.37 ± 1.35 / 67.64 ± 1.35 | 34.69 ± 2.50 / 67.16 ± 1.29 | 55.07 ± 1.73 / 78.88 ± 0.80 | 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 | 2.37 | 52.79 ± 4.09 / 43.45 ± 2.82 | 65.92 ± 1.02 / 70.47 ± 0.75 | 16.74 ± 2.67 / 55.45 ± 3.35 | 64.92 ± 2.84 / 80.88 ± 1.27 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| ibm-granite/granite-3b-code-base-2k (few-shot) | 3483 | 49 | 2048 | True | 2,732 ± 868 / 662 ± 238 | 2.40 | 60.64 ± 2.11 / 55.14 ± 2.01 | 61.20 ± 1.16 / 61.92 ± 1.68 | 7.63 ± 2.79 / 46.39 ± 3.79 | 69.83 ± 2.12 / 80.15 ± 1.27 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| Rijgersberg/GEITje-7B (few-shot) | 7242 | 32 | 32768 | True | 5,887 ± 1,087 / 1,600 ± 522 | 2.41 | 53.39 ± 2.97 / 47.76 ± 2.67 | 65.21 ± 1.35 / 65.73 ± 1.61 | 12.63 ± 2.60 / 50.10 ± 3.87 | 65.74 ± 2.31 / 77.95 ± 1.84 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
| mgoin/Nemotron-4-340B-Instruct-hf-FP8 (few-shot) | 341029 | 256 | 4096 | True | 1,904 ± 475 / 361 ± 121 | 2.41 | 51.92 ± 11.90 / 40.30 ± 8.36 | 67.01 ± 2.29 / 72.21 ± 1.61 | 45.98 ± 7.10 / 68.89 ± 6.52 | 30.12 ± 6.60 / 48.37 ± 9.50 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) | 1711 | 49 | 8192 | True | 15,971 ± 3,654 / 3,609 ± 1,197 | 2.43 | 47.58 ± 2.41 / 39.52 ± 1.41 | 66.78 ± 0.76 / 61.52 ± 0.99 | 20.53 ± 3.83 / 58.47 ± 2.90 | 58.07 ± 2.23 / 69.96 ± 1.63 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| MaLA-LM/emma-500-llama2-7b (few-shot) | 6738 | 32 | 4096 | True | 6,275 ± 1,193 / 1,755 ± 578 | 2.44 | 47.20 ± 3.39 / 44.00 ± 3.43 | 64.82 ± 1.13 / 67.11 ± 1.41 | 7.57 ± 2.31 / 45.83 ± 3.97 | 73.88 ± 1.02 / 83.56 ± 0.75 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| microsoft/phi-2 (few-shot) | 2780 | 51 | 2048 | True | 3,472 ± 885 / 728 ± 239 | 2.44 | 49.16 ± 3.09 / 43.10 ± 2.58 | 62.41 ± 1.51 / 67.24 ± 1.18 | 12.31 ± 2.96 / 48.73 ± 5.08 | 75.79 ± 1.88 / 86.40 ± 1.10 | 12.5.2 | 12.2.0 | 12.0.0 | 12.0.0 |
| stabilityai/stablelm-2-1_6b (few-shot) | 1645 | 100 | 4096 | True | 7,259 ± 2,120 / 1,240 ± 432 | 2.46 | 47.50 ± 1.70 / 41.85 ± 1.68 | 64.69 ± 1.33 / 57.60 ± 0.63 | 8.01 ± 1.97 / 51.78 ± 1.65 | 71.81 ± 1.05 / 80.90 ± 0.72 | 12.10.8 | 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 | 2.47 | 58.30 ± 2.16 / 53.45 ± 1.98 | 59.01 ± 2.14 / 62.37 ± 1.73 | 10.33 ± 3.06 / 53.28 ± 2.21 | 65.04 ± 2.20 / 75.93 ± 1.50 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| Twitter/twhin-bert-base | 279 | 250 | 512 | True | 11,514 ± 2,041 / 2,862 ± 918 | 2.49 | 87.77 ± 0.51 / 87.83 ± 0.47 | 41.09 ± 4.38 / 48.17 ± 3.16 | 32.26 ± 10.79 / 61.20 ± 5.53 | 35.15 ± 1.89 / 44.98 ± 1.93 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| ibm-granite/granite-3.0-3b-a800m-base (few-shot) | 3374 | 49 | 4096 | True | 10,504 ± 3,028 / 1,678 ± 559 | 2.49 | 49.44 ± 3.68 / 39.69 ± 2.34 | 66.65 ± 1.04 / 65.72 ± 1.32 | 12.56 ± 2.15 / 54.20 ± 3.42 | 63.29 ± 4.61 / 75.62 ± 3.79 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| sentence-transformers/stsb-xlm-r-multilingual | 278 | 250 | 512 | True | 15,040 ± 2,953 / 3,417 ± 1,100 | 2.49 | 82.39 ± 0.62 / 83.07 ± 0.48 | 57.35 ± 1.00 / 54.82 ± 0.65 | 47.29 ± 2.10 / 71.85 ± 1.30 | 4.29 ± 0.33 / 10.53 ± 0.29 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| allenai/OLMo-1.7-7B-hf (few-shot) | 6888 | 50 | 4096 | True | 3,371 ± 876 / 561 ± 184 | 2.50 | 41.02 ± 3.86 / 40.03 ± 2.56 | 66.43 ± 0.78 / 57.25 ± 0.33 | 5.17 ± 1.55 / 37.03 ± 2.40 | 76.04 ± 0.97 / 85.31 ± 0.82 | 12.10.5 | 12.10.4 | 12.10.4 | 12.10.5 |
| ibm-granite/granite-7b-base (few-shot) | 6738 | 32 | 2175 | True | 4,405 ± 1,098 / 1,032 ± 345 | 2.50 | 47.76 ± 2.72 / 44.84 ± 2.71 | 66.41 ± 0.85 / 65.96 ± 2.20 | 5.76 ± 1.50 / 50.36 ± 2.34 | 70.34 ± 1.81 / 81.54 ± 1.06 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| ibm-granite/granite-7b-instruct (few-shot) | 6738 | 32 | 4096 | True | 3,136 ± 558 / 942 ± 290 | 2.51 | 53.21 ± 1.85 / 45.68 ± 2.60 | 65.98 ± 1.15 / 64.68 ± 2.08 | 7.26 ± 2.04 / 52.39 ± 1.92 | 64.71 ± 1.95 / 79.37 ± 1.16 | 13.2.0 | 13.0.0 | 13.2.0 | 13.2.0 |
| cardiffnlp/twitter-xlm-roberta-base | 277 | 250 | 512 | True | 34,475 ± 7,465 / 6,712 ± 2,223 | 2.52 | 87.09 ± 0.61 / 87.25 ± 0.49 | 55.40 ± 0.56 / 52.86 ± 0.29 | 39.78 ± 3.59 / 67.21 ± 2.02 | 6.20 ± 4.26 / 13.47 ± 5.29 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| sentence-transformers/paraphrase-xlm-r-multilingual-v1 | 278 | 250 | 512 | True | 20,154 ± 4,438 / 3,890 ± 1,256 | 2.53 | 84.05 ± 0.61 / 84.48 ± 0.51 | 54.92 ± 1.28 / 52.65 ± 0.58 | 45.85 ± 1.41 / 71.78 ± 0.82 | 4.13 ± 0.19 / 10.53 ± 0.24 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) | 20918 | 64 | 2048 | True | 1,831 ± 587 / 268 ± 90 | 2.56 | 39.21 ± 1.52 / 34.08 ± 1.88 | 65.58 ± 1.59 / 57.86 ± 1.13 | 7.82 ± 1.43 / 51.19 ± 1.75 | 72.25 ± 2.19 / 83.08 ± 1.30 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
| distilbert/distilbert-base-multilingual-cased | 135 | 120 | 512 | True | 26,355 ± 5,946 / 5,266 ± 1,714 | 2.56 | 87.70 ± 0.68 / 87.67 ± 0.59 | 36.48 ± 3.00 / 45.07 ± 1.32 | 40.79 ± 2.42 / 68.71 ± 2.04 | 29.00 ± 0.89 / 40.37 ± 0.77 | 0.0.0 | 0.0.0 | 0.0.0 | 0.0.0 |
| nvidia/mistral-nemo-minitron-8b-instruct (few-shot) | 8414 | 131 | 8192 | True | 3,161 ± 676 / 1,247 ± 481 | 2.57 | 72.63 ± 1.76 / 63.75 ± 1.29 | 65.74 ± 1.14 / 69.65 ± 0.96 | 43.43 ± 1.62 / 69.19 ± 1.28 | 0.00 ± 0.00 / 20.81 ± 0.82 | 14.1.1 | 14.1.1 | 14.1.1 | 14.1.1 |
| ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) | 1335 | 49 | 4096 | True | 7,964 ± 2,255 / 1,299 ± 433 | 2.60 | 46.26 ± 3.26 / 40.49 ± 2.54 | 63.47 ± 0.73 / 60.77 ± 1.39 | 13.17 ± 1.60 / 54.31 ± 1.93 | 59.32 ± 1.48 / 72.97 ± 0.96 | 13.2.0 | 13.2.0 | 13.2.0 | 13.2.0 |
| TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) | 7800 | 100 | 4096 | True | 6,197 ± 1,118 / 1,730 ± 577 | 2.62 | 45.89 ± 2.63 / 42.96 ± 2.56 | 59.29 ± 1.35 / 65.59 ± 1.02 | 9.11 ± 2.36 / 52.02 ± 2.16 | 66.74 ± 1.21 / 77.75 ± 1.09 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) | 20918 | 64 | 2048 | True | 1,875 ± 673 / 261 ± 91 | 2.63 | 45.86 ± 3.18 / 40.23 ± 2.41 | 62.08 ± 3.29 / 55.11 ± 1.68 | 6.62 ± 2.43 / 48.79 ± 3.77 | 65.29 ± 1.81 / 77.71 ± 0.98 | 9.3.1 | 9.3.1 | 9.3.1 | 9.3.1 |
| Geotrend/distilbert-base-25lang-cased | 109 | 85 | 512 | True | 26,099 ± 5,881 / 5,178 ± 1,665 | 2.63 | 87.08 ± 0.62 / 87.08 ± 0.57 | 36.77 ± 1.52 / 45.15 ± 0.60 | 37.10 ± 1.79 / 67.20 ± 1.15 | 26.99 ± 0.77 / 37.98 ± 0.63 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| NbAiLab/nb-llama-3.1-70B (few-shot) | 70554 | 128 | 131072 | True | 1,220 ± 411 / 158 ± 53 | 2.63 | 76.84 ± 1.89 / 72.90 ± 1.50 | 67.91 ± 1.19 / 68.81 ± 1.37 | 30.61 ± 4.10 / 62.57 ± 4.17 | 0.10 ± 0.04 / 16.48 ± 1.10 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| Qwen/Qwen1.5-1.8B (few-shot) | 1837 | 152 | 32768 | True | 5,666 ± 1,328 / 1,256 ± 408 | 2.65 | 37.22 ± 3.24 / 34.07 ± 3.11 | 64.34 ± 1.18 / 62.90 ± 1.36 | 15.30 ± 1.17 / 55.67 ± 1.16 | 64.41 ± 1.29 / 75.79 ± 0.97 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 |
| NbAiLab/nb-llama-3.1-8B (few-shot) | 8030 | 128 | 131072 | True | 1,297 ± 338 / 245 ± 83 | 2.66 | 62.90 ± 2.49 / 56.12 ± 1.92 | 62.26 ± 1.62 / 66.24 ± 0.84 | 24.37 ± 1.47 / 60.05 ± 1.82 | 25.93 ± 4.95 / 47.47 ± 4.90 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| google/gemma-2-2b (few-shot) | 2614 | 256 | 8320 | True | 5,235 ± 1,226 / 1,154 ± 366 | 2.72 | 30.82 ± 4.46 / 27.49 ± 3.87 | 66.28 ± 0.84 / 65.60 ± 1.23 | 10.09 ± 2.52 / 48.92 ± 3.34 | 64.96 ± 3.77 / 78.21 ± 2.16 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| HuggingFaceTB/SmolLM2-1.7B (few-shot) | 1711 | 49 | 8192 | True | 16,249 ± 3,690 / 3,689 ± 1,226 | 2.75 | 41.57 ± 4.29 / 37.51 ± 3.05 | 62.32 ± 1.12 / 67.09 ± 0.96 | 8.04 ± 3.17 / 48.16 ± 5.38 | 56.01 ± 3.10 / 67.43 ± 2.41 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| meta-llama/Llama-3.2-1B-Instruct (few-shot) | 1236 | 128 | 131200 | False | 7,436 ± 1,846 / 1,508 ± 479 | 2.75 | 56.41 ± 1.79 / 52.05 ± 1.57 | 59.46 ± 1.16 / 65.61 ± 1.08 | 8.36 ± 0.71 / 49.50 ± 2.90 | 47.26 ± 3.09 / 67.95 ± 2.10 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| tiiuae/Falcon3-1B-Instruct (few-shot) | 1669 | 131 | 8192 | True | 9,270 ± 2,690 / 1,434 ± 437 | 2.78 | 43.00 ± 1.94 / 39.96 ± 1.87 | 54.47 ± 1.37 / 64.39 ± 0.56 | 17.44 ± 1.67 / 50.79 ± 2.44 | 53.15 ± 1.38 / 70.06 ± 0.79 | 14.1.2 | 14.1.2 | 14.1.2 | 14.1.2 |
| LumiOpen/Viking-13B (few-shot) | 14030 | 131 | 4224 | True | 840 ± 79 / 400 ± 124 | 2.80 | 42.78 ± 4.24 / 40.64 ± 2.84 | 59.90 ± 4.98 / 54.05 ± 2.70 | 5.68 ± 1.91 / 50.82 ± 2.18 | 58.52 ± 1.88 / 68.97 ± 1.86 | 12.10.5 | 12.10.5 | 12.10.5 | 12.10.5 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) | 1837 | 152 | 32768 | False | 8,304 ± 1,846 / 1,933 ± 617 | 2.81 | 40.89 ± 2.63 / 37.44 ± 2.39 | 55.33 ± 1.77 / 64.53 ± 0.70 | 11.23 ± 1.81 / 52.85 ± 2.65 | 60.69 ± 1.44 / 74.24 ± 0.82 | 12.5.2 | 11.0.0 | 12.1.0 | 12.5.0 |
| claude-3-5-haiku-20241022 (zero-shot, val) | unknown | unknown | 200000 | True | 277 ± 77 / 70 ± 25 | 2.82 | 74.35 ± 1.24 / 63.12 ± 1.09 | 31.19 ± 2.30 / 44.96 ± 1.92 | 21.76 ± 3.56 / 59.95 ± 1.92 | 45.70 ± 1.03 / 74.84 ± 0.76 | 14.0.3 | 14.0.2 | 14.0.3 | 14.0.3 |
| utter-project/EuroLLM-1.7B-Instruct (few-shot) | 1657 | 128 | 4096 | True | 15,009 ± 4,072 / 2,702 ± 878 | 2.84 | 37.47 ± 1.64 / 32.39 ± 2.53 | 58.61 ± 2.46 / 62.78 ± 1.22 | 5.30 ± 1.43 / 46.95 ± 3.51 | 63.26 ± 0.73 / 74.41 ± 0.65 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| allenai/OLMo-7B (few-shot) | 6888 | 50 | 2176 | True | 5,403 ± 1,133 / 1,294 ± 423 | 2.86 | 38.23 ± 3.10 / 36.38 ± 2.60 | 60.70 ± 1.80 / 66.82 ± 1.12 | -0.19 ± 2.28 / 38.77 ± 3.32 | 61.93 ± 1.98 / 73.71 ± 1.57 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| google/gemma-2b (few-shot) | 2506 | 256 | 8192 | True | 6,087 ± 1,046 / 1,902 ± 563 | 2.89 | 19.65 ± 5.96 / 18.64 ± 5.49 | 62.14 ± 1.16 / 67.81 ± 0.65 | 8.30 ± 1.63 / 45.01 ± 3.82 | 66.30 ± 1.42 / 77.75 ± 0.63 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 |
| VAGOsolutions/SauerkrautLM-Gemma-2b (few-shot) | 2506 | 256 | 8192 | False | 3,607 ± 565 / 1,212 ± 349 | 2.95 | 23.28 ± 6.45 / 21.81 ± 5.61 | 61.91 ± 2.08 / 67.80 ± 1.12 | 6.92 ± 2.36 / 44.29 ± 3.87 | 64.68 ± 1.06 / 76.60 ± 0.51 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| allenai/OLMo-7B-Twin-2T (few-shot) | 6888 | 50 | 2176 | True | 5,484 ± 1,125 / 1,317 ± 425 | 2.95 | 25.36 ± 8.05 / 24.05 ± 7.34 | 56.91 ± 2.41 / 66.15 ± 1.54 | 7.10 ± 2.89 / 49.36 ± 4.03 | 58.60 ± 5.37 / 70.37 ± 4.71 | 12.5.2 | 12.5.2 | 12.5.2 | 12.5.2 |
| NorwAI/NorwAI-Llama2-7B (few-shot) | 7033 | 68 | 4096 | True | 4,438 ± 1,128 / 1,028 ± 346 | 2.96 | 38.51 ± 3.33 / 38.08 ± 2.64 | 63.60 ± 2.87 / 58.50 ± 1.25 | 2.23 ± 1.32 / 34.15 ± 0.60 | 45.44 ± 3.61 / 59.52 ± 2.98 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| google/gemma-2b-it (few-shot) | 2506 | 256 | 8192 | False | 6,471 ± 1,142 / 1,961 ± 584 | 2.96 | 40.05 ± 2.56 / 33.77 ± 1.94 | 48.83 ± 1.00 / 60.88 ± 0.70 | 5.83 ± 1.52 / 50.74 ± 1.73 | 63.77 ± 1.40 / 76.59 ± 0.77 | 12.5.2 | 12.1.0 | 12.1.0 | 12.4.0 |
| ibm-granite/granite-3.0-1b-a400m-base (few-shot) | 1385 | 49 | 4096 | True | 7,808 ± 2,183 / 1,289 ± 428 | 2.97 | 29.84 ± 4.45 / 28.13 ± 3.61 | 64.13 ± 1.51 / 56.76 ± 0.96 | 3.99 ± 1.63 / 43.68 ± 3.91 | 55.74 ± 1.72 / 65.95 ± 1.64 | 13.2.0 | 13.2.0 | 13.2.0 | 13.2.0 |
| microsoft/xlm-align-base | 277 | 250 | 512 | True | 14,744 ± 2,870 / 3,265 ± 1,053 | 2.98 | 88.62 ± 0.53 / 88.44 ± 0.46 | 11.09 ± 10.39 / 33.19 ± 4.75 | 8.46 ± 2.34 / 51.98 ± 2.86 | 49.64 ± 1.94 / 62.02 ± 1.77 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| meta-llama/Llama-3.2-1B (few-shot) | 1236 | 128 | 131200 | True | 7,577 ± 1,884 / 1,555 ± 492 | 2.99 | 35.08 ± 5.88 / 32.44 ± 4.89 | 54.40 ± 2.92 / 64.38 ± 2.10 | 2.97 ± 0.84 / 45.05 ± 4.18 | 58.30 ± 2.84 / 71.04 ± 1.83 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| NorwAI/NorwAI-Mistral-7B (few-shot) | 7537 | 68 | 4096 | True | 3,035 ± 503 / 911 ± 300 | 3.03 | 35.84 ± 5.12 / 35.76 ± 4.29 | 56.87 ± 8.16 / 59.62 ± 5.61 | 3.08 ± 2.98 / 40.66 ± 4.63 | 52.77 ± 1.53 / 66.64 ± 1.58 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| NbAiLab/nb-llama-3.1-8B-Instruct (few-shot) | 8030 | 128 | 131072 | True | 1,296 ± 335 / 246 ± 84 | 3.05 | 40.91 ± 6.01 / 37.55 ± 4.86 | 47.12 ± 10.26 / 54.09 ± 8.04 | 6.03 ± 1.71 / 49.55 ± 3.61 | 51.34 ± 2.37 / 65.28 ± 2.29 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) | 620 | 152 | 32768 | False | 11,740 ± 3,000 / 2,209 ± 721 | 3.09 | 33.86 ± 2.16 / 32.80 ± 2.21 | 55.41 ± 2.17 / 54.48 ± 1.65 | 1.15 ± 1.81 / 34.47 ± 1.12 | 53.34 ± 1.21 / 64.09 ± 1.26 | 12.5.2 | 11.0.0 | 12.1.0 | 12.5.0 |
| Qwen/Qwen1.5-0.5B (few-shot) | 620 | 152 | 32768 | True | 11,371 ± 2,924 / 2,122 ± 692 | 3.14 | 37.51 ± 1.56 / 33.24 ± 2.24 | 57.15 ± 2.35 / 52.82 ± 1.40 | 2.94 ± 2.00 / 44.53 ± 3.65 | 42.57 ± 1.97 / 55.17 ± 1.29 | 12.5.2 | 10.0.1 | 12.1.0 | 12.1.0 |
| HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) | 362 | 49 | 8192 | True | 21,777 ± 6,115 / 3,617 ± 1,211 | 3.15 | 30.73 ± 4.30 / 29.47 ± 4.10 | 59.51 ± 3.73 / 54.82 ± 2.43 | 1.55 ± 1.90 / 43.18 ± 5.08 | 49.03 ± 1.47 / 60.00 ± 1.53 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| allenai/OLMo-1B (few-shot) | 1177 | 50 | 2176 | True | 8,536 ± 1,926 / 1,940 ± 619 | 3.17 | 26.47 ± 6.25 / 28.27 ± 5.35 | 60.05 ± 3.94 / 56.18 ± 1.90 | 0.72 ± 1.90 / 42.84 ± 3.50 | 43.87 ± 2.49 / 55.59 ± 2.44 | 12.5.2 | 12.1.0 | 12.1.0 | 12.1.0 |
| openGPT-X/Teuken-7B-instruct-research-v0.4 (few-shot) | 7453 | 251 | 4096 | False | 1,254 ± 328 / 243 ± 83 | 3.18 | 50.73 ± 2.64 / 38.64 ± 1.60 | 27.52 ± 3.38 / 31.81 ± 3.98 | 2.96 ± 2.64 / 35.23 ± 1.82 | 63.42 ± 1.34 / 76.38 ± 1.18 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking | 135 | 120 | 512 | True | 33,753 ± 8,349 / 5,937 ± 1,946 | 3.18 | 81.71 ± 0.66 / 82.33 ± 0.53 | 50.69 ± 1.19 / 50.90 ± 0.50 | 2.16 ± 1.58 / 49.99 ± 1.47 | 4.16 ± 0.71 / 11.93 ± 0.61 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| sentence-transformers/quora-distilbert-multilingual | 135 | 120 | 512 | True | 26,458 ± 5,992 / 5,274 ± 1,731 | 3.18 | 81.71 ± 0.66 / 82.33 ± 0.53 | 50.69 ± 1.19 / 50.90 ± 0.50 | 2.16 ± 1.58 / 49.99 ± 1.47 | 4.19 ± 0.69 / 11.99 ± 0.62 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| state-spaces/mamba-2.8b-hf (few-shot) | 2768 | 50 | 32896 | True | 2,722 ± 495 / 766 ± 250 | 3.18 | 28.63 ± 4.74 / 27.07 ± 4.13 | 66.55 ± 0.72 / 58.18 ± 0.62 | 1.47 ± 1.57 / 45.89 ± 2.92 | 35.00 ± 2.01 / 47.83 ± 2.25 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| EuropeanParliament/EUBERT | 94 | 66 | 512 | True | 20,070 ± 3,977 / 4,400 ± 1,435 | 3.19 | 71.43 ± 0.88 / 71.51 ± 0.79 | 17.53 ± 2.21 / 38.67 ± 1.90 | 23.93 ± 5.87 / 59.48 ± 3.40 | 31.01 ± 0.89 / 42.98 ± 0.49 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| dbmdz/bert-base-historic-multilingual-cased | 111 | 32 | 512 | True | 20,047 ± 4,407 / 3,844 ± 1,259 | 3.23 | 77.64 ± 0.74 / 79.56 ± 0.53 | 12.42 ± 9.17 / 33.80 ± 4.31 | 13.65 ± 6.22 / 53.84 ± 2.20 | 33.29 ± 0.96 / 45.71 ± 0.70 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | 118 | 250 | 512 | True | 29,201 ± 6,282 / 6,045 ± 2,027 | 3.23 | 77.50 ± 0.54 / 78.82 ± 0.48 | 53.10 ± 1.18 / 51.88 ± 0.50 | -0.35 ± 1.84 / 48.74 ± 1.43 | 3.13 ± 0.27 / 9.98 ± 0.25 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| openGPT-X/Teuken-7B-instruct-commercial-v0.4 (few-shot) | 7453 | 251 | 4096 | True | 1,438 ± 410 / 233 ± 79 | 3.28 | 44.48 ± 3.17 / 36.31 ± 2.23 | 23.69 ± 3.36 / 25.98 ± 3.59 | 8.52 ± 2.60 / 51.57 ± 2.62 | 56.97 ± 1.53 / 71.38 ± 1.28 | 14.0.4 | 14.0.4 | 14.0.4 | 14.0.4 |
| HuggingFaceTB/SmolLM2-360M (few-shot) | 362 | 49 | 8192 | True | 22,023 ± 6,203 / 3,675 ± 1,231 | 3.29 | 31.14 ± 1.79 / 28.54 ± 0.86 | 43.97 ± 5.28 / 55.08 ± 4.26 | 3.49 ± 2.49 / 46.52 ± 4.13 | 47.91 ± 4.97 / 60.41 ± 3.91 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| PleIAs/Pleias-1.2b-Preview (few-shot) | 1195 | 66 | 2048 | True | 10,756 ± 3,589 / 1,157 ± 670 | 3.47 | 40.45 ± 3.27 / 37.90 ± 2.99 | 47.89 ± 3.76 / 56.99 ± 2.11 | 0.28 ± 1.01 / 44.40 ± 3.07 | 26.77 ± 5.45 / 35.60 ± 6.25 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| sentence-transformers/distiluse-base-multilingual-cased-v2 | 135 | 120 | 512 | True | 33,247 ± 8,123 / 6,017 ± 1,977 | 3.56 | 71.90 ± 1.49 / 74.21 ± 1.10 | 36.22 ± 1.39 / 45.80 ± 1.20 | 0.47 ± 1.65 / 48.67 ± 1.71 | 2.40 ± 0.23 / 8.51 ± 0.21 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| sentence-transformers/distiluse-base-multilingual-cased | 135 | 120 | 512 | True | 19,206 ± 4,451 / 3,658 ± 1,187 | 3.56 | 71.90 ± 1.49 / 74.21 ± 1.10 | 36.22 ± 1.39 / 45.80 ± 1.20 | 0.47 ± 1.65 / 48.67 ± 1.71 | 2.44 ± 0.17 / 8.50 ± 0.20 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| PleIAs/Pleias-Nano (few-shot) | 1195 | 66 | 2048 | True | 2,519 ± 841 / 323 ± 104 | 3.57 | 21.60 ± 4.23 / 23.22 ± 3.33 | 45.04 ± 5.19 / 50.60 ± 4.14 | -0.46 ± 1.47 / 44.56 ± 3.38 | 33.46 ± 2.84 / 44.25 ± 3.38 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 | 135 | 120 | 512 | True | 34,042 ± 8,482 / 5,951 ± 1,950 | 3.59 | 71.33 ± 0.75 / 73.43 ± 0.61 | 36.75 ± 1.28 / 47.80 ± 1.46 | 0.24 ± 1.44 / 47.55 ± 1.59 | 1.30 ± 0.31 / 9.37 ± 0.28 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| dbmdz/bert-tiny-historic-multilingual-cased | 5 | 32 | 512 | True | 78,027 ± 15,466 / 17,064 ± 5,335 | 3.74 | 65.85 ± 0.80 / 68.72 ± 0.81 | 25.85 ± 2.01 / 40.72 ± 0.85 | 1.21 ± 1.72 / 50.03 ± 0.84 | 4.00 ± 0.55 / 11.02 ± 0.40 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| RuterNorway/Llama-2-7b-chat-norwegian (few-shot) | unknown | 32 | 4096 | False | 10,890 ± 2,686 / 2,186 ± 750 | 3.89 | 18.69 ± 7.23 / 18.50 ± 6.51 | 21.95 ± 6.30 / 33.38 ± 4.79 | 0.01 ± 1.91 / 39.40 ± 3.94 | 36.51 ± 2.07 / 50.66 ± 1.90 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.2 |
| NbAiLab/nb-llama-3.2-3B (few-shot) | 3213 | 128 | 131072 | True | 1,880 ± 556 / 280 ± 95 | 3.93 | 0.02 ± 0.03 / 0.01 ± 0.03 | 60.98 ± 1.52 / 58.15 ± 0.97 | 0.00 ± 0.00 / 33.36 ± 0.27 | 9.94 ± 1.53 / 26.50 ± 2.35 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| NbAiLab/nb-llama-3.2-1B (few-shot) | 1236 | 128 | 131072 | True | 3,424 ± 1,080 / 464 ± 158 | 3.96 | 3.98 ± 3.16 / 3.68 ± 2.99 | 39.54 ± 6.40 / 48.55 ± 7.75 | 3.41 ± 1.85 / 41.04 ± 4.56 | 26.96 ± 2.30 / 42.51 ± 3.06 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| HuggingFaceTB/SmolLM2-135M (few-shot) | 135 | 49 | 8192 | True | 26,346 ± 7,812 / 4,082 ± 1,372 | 3.98 | 31.26 ± 3.84 / 30.44 ± 3.28 | 26.69 ± 10.82 / 34.46 ± 8.00 | 1.78 ± 1.67 / 43.50 ± 3.99 | 13.88 ± 1.36 / 22.49 ± 2.14 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| PleIAs/Pleias-3b-Preview (few-shot) | 3212 | 66 | 4096 | True | 6,513 ± 1,241 / 1,282 ± 644 | 3.99 | 27.37 ± 4.57 / 26.50 ± 4.52 | 36.35 ± 7.92 / 45.58 ± 8.18 | -0.37 ± 1.89 / 44.67 ± 2.86 | 7.42 ± 2.13 / 16.44 ± 2.71 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) | 135 | 49 | 8192 | True | 25,602 ± 7,583 / 3,953 ± 1,325 | 4.03 | 29.96 ± 3.19 / 28.98 ± 3.29 | 18.64 ± 8.52 / 28.83 ± 5.86 | 1.85 ± 1.20 / 44.03 ± 3.98 | 26.90 ± 1.56 / 36.91 ± 1.53 | 13.1.0 | 13.1.0 | 13.1.0 | 13.1.0 |
| PleIAs/Pleias-350m-Preview (few-shot) | 353 | 66 | 2048 | True | 10,242 ± 3,432 / 1,335 ± 484 | 4.04 | 31.79 ± 3.88 / 31.32 ± 2.81 | 19.13 ± 9.92 / 33.51 ± 6.97 | -0.03 ± 1.07 / 36.37 ± 2.34 | 12.35 ± 1.80 / 21.93 ± 1.63 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| PleIAs/Pleias-Pico (few-shot) | 353 | 66 | 2048 | True | 2,331 ± 787 / 301 ± 97 | 4.04 | 27.45 ± 4.13 / 27.11 ± 3.47 | 27.39 ± 8.29 / 39.38 ± 6.65 | 0.31 ± 1.47 / 39.37 ± 3.75 | 15.62 ± 2.29 / 26.76 ± 1.43 | 14.0.4 | 14.1.2 | 14.1.2 | 14.0.4 |
| 3ebdola/Dialectal-Arabic-XLM-R-Base | 277 | 250 | 512 | True | 12,783 ± 2,537 / 2,712 ± 885 | 4.09 | 68.25 ± 2.50 / 70.44 ± 2.50 | 1.92 ± 1.68 / 28.84 ± 2.38 | 1.08 ± 1.34 / 47.42 ± 1.71 | 2.79 ± 0.93 / 10.00 ± 0.84 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| fresh-xlm-roberta-base | 277 | 250 | 512 | True | 2,214 ± 94 / 1,494 ± 229 | 4.51 | 34.64 ± 1.25 / 34.41 ± 1.49 | 4.00 ± 3.78 / 24.24 ± 3.94 | 1.33 ± 1.00 / 42.07 ± 4.82 | 0.43 ± 0.11 / 6.18 ± 1.24 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| fresh-electra-small | 13 | 31 | 512 | True | 7,840 ± 1,538 / 3,024 ± 438 | 4.57 | 30.77 ± 0.92 / 30.14 ± 1.03 | 0.58 ± 1.45 / 20.82 ± 1.74 | -0.17 ± 0.47 / 37.18 ± 3.93 | 0.46 ± 0.14 / 6.16 ± 0.24 | 12.6.1 | 12.6.1 | 12.6.1 | 12.6.1 |
| ai-forever/mGPT (few-shot) | unknown | 100 | 1024 | True | 11,734 ± 3,124 / 2,174 ± 720 | 4.81 | 1.55 ± 1.98 / 1.45 ± 1.82 | 3.71 ± 3.16 / 22.09 ± 2.08 | -0.42 ± 1.56 / 40.58 ± 3.74 | 5.58 ± 3.10 / 11.12 ± 4.66 | 9.3.1 | 10.0.1 | 11.0.0 | 12.5.1 |
| NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) | 7537 | 68 | 4096 | True | 3,024 ± 496 / 909 ± 301 | 4.85 | 12.34 ± 2.70 / 12.41 ± 2.54 | -1.48 ± 3.09 / 21.17 ± 2.22 | -0.48 ± 1.52 / 42.45 ± 3.99 | 0.72 ± 0.25 / 6.31 ± 0.51 | 12.10.4 | 12.10.4 | 12.10.4 | 12.10.4 |
| ssmits/Falcon2-5.5B-multilingual (few-shot) | 5465 | 65 | 8192 | True | 7,692 ± 1,423 / 1,960 ± 644 | 4.95 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 19.61 ± 0.22 | 2.48 ± 1.94 / 34.52 ± 0.85 | 0.01 ± 0.02 / 0.03 ± 0.02 | 13.0.0 | 13.0.0 | 13.0.0 | 13.0.0 |
| RJuro/kanelsnegl-v0.1 (few-shot) | 7242 | 32 | 512 | True | 5,847 ± 1,029 / 1,640 ± 525 | 5.00 | 0.00 ± 0.00 / 0.00 ± 0.00 | 0.00 ± 0.00 / 19.61 ± 0.22 | 0.41 ± 0.55 / 33.46 ± 0.37 | 0.00 ± 0.00 / 3.68 ± 0.43 | 9.3.1 | 9.3.1 | 9.3.1 | 12.5.1 |