| vesteinn/FoBERT |
124 |
50 |
512 |
True |
15,623 ± 2,828 / 3,737 ± 1,191 |
1.00 |
91.31 ± 0.69 / 91.79 ± 0.47 |
64.39 ± 1.55 / 81.38 ± 1.04 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-roberta-base-scandi-1e4 |
277 |
250 |
512 |
True |
15,074 ± 2,990 / 3,347 ± 1,080 |
2.00 |
90.52 ± 0.47 / 90.83 ± 0.40 |
44.99 ± 11.76 / 71.54 ± 5.83 |
0.0.0 |
0.0.0 |
| microsoft/mdeberta-v3-base |
278 |
251 |
512 |
True |
20,637 ± 3,925 / 4,497 ± 1,502 |
2.03 |
88.60 ± 0.60 / 89.37 ± 0.54 |
46.81 ± 2.12 / 72.76 ± 1.40 |
0.0.0 |
0.0.0 |
| pere/roberta-base-exp-32 |
277 |
250 |
512 |
True |
15,081 ± 2,950 / 3,365 ± 1,092 |
2.64 |
90.60 ± 0.45 / 90.78 ± 0.45 |
22.86 ± 13.14 / 59.92 ± 6.74 |
0.0.0 |
0.0.0 |
| sentence-transformers/use-cmlm-multilingual |
470 |
501 |
512 |
True |
30,231 ± 8,171 / 4,863 ± 1,598 |
2.68 |
88.81 ± 0.65 / 89.12 ± 0.56 |
30.92 ± 8.65 / 63.05 ± 4.66 |
0.0.0 |
0.0.0 |
| vesteinn/ScandiBERT-no-faroese |
124 |
50 |
512 |
True |
15,436 ± 2,820 / 3,704 ± 1,187 |
2.70 |
88.14 ± 0.58 / 88.89 ± 0.52 |
27.71 ± 9.67 / 61.60 ± 5.69 |
0.0.0 |
0.0.0 |
| gpt-4-1106-preview (few-shot, val) |
unknown |
100 |
128000 |
True |
576 ± 221 / 81 ± 28 |
2.72 |
86.51 ± 2.01 / 85.01 ± 2.45 |
35.09 ± 5.70 / 65.72 ± 3.27 |
12.5.1 |
12.5.1 |
| jonfd/electra-small-nordic |
22 |
96 |
128 |
True |
5,989 ± 120 / 3,809 ± 1,230 |
2.74 |
85.80 ± 0.25 / 86.58 ± 0.26 |
30.88 ± 2.36 / 63.79 ± 1.33 |
0.0.0 |
0.0.0 |
| setu4993/LaBSE |
470 |
501 |
512 |
True |
25,418 ± 6,435 / 4,536 ± 1,452 |
3.37 |
89.16 ± 0.66 / 89.62 ± 0.62 |
22.76 ± 10.57 / 60.04 ± 5.76 |
0.0.0 |
0.0.0 |
| google/rembert |
575 |
250 |
256 |
True |
11,736 ± 2,822 / 2,102 ± 677 |
3.40 |
87.35 ± 0.94 / 87.65 ± 0.94 |
14.65 ± 11.12 / 46.36 ± 10.23 |
0.0.0 |
0.0.0 |
| mideind/IceBERT-xlmr-ic3 |
277 |
250 |
512 |
True |
11,004 ± 2,244 / 2,324 ± 761 |
3.40 |
87.79 ± 0.40 / 88.46 ± 0.31 |
22.51 ± 10.65 / 55.58 ± 8.05 |
0.0.0 |
0.0.0 |
| ltg/norbert3-base |
124 |
50 |
512 |
True |
11,405 ± 1,970 / 2,856 ± 917 |
3.41 |
86.94 ± 0.47 / 87.58 ± 0.46 |
12.35 ± 8.96 / 53.00 ± 5.17 |
12.7.0 |
12.7.0 |
| Geotrend/bert-base-25lang-cased |
151 |
85 |
512 |
True |
13,908 ± 3,201 / 2,700 ± 872 |
3.43 |
86.09 ± 1.03 / 86.85 ± 1.02 |
15.24 ± 6.84 / 50.54 ± 4.85 |
0.0.0 |
0.0.0 |
| gpt-4-0613 (few-shot, val) |
unknown |
100 |
8316 |
True |
597 ± 197 / 93 ± 33 |
3.51 |
81.62 ± 2.00 / 71.11 ± 2.84 |
13.49 ± 4.68 / 43.21 ± 3.64 |
12.10.0 |
12.10.0 |
| KennethEnevoldsen/dfm-sentence-encoder-large-1 |
354 |
50 |
512 |
True |
6,245 ± 1,260 / 1,416 ± 453 |
3.67 |
72.99 ± 1.55 / 72.45 ± 1.56 |
13.40 ± 7.79 / 54.18 ± 5.13 |
0.0.0 |
0.0.0 |
| mideind/IceBERT-mC4-is |
163 |
50 |
512 |
True |
12,308 ± 1,614 / 3,851 ± 1,254 |
4.00 |
88.44 ± 0.35 / 89.11 ± 0.38 |
11.83 ± 4.90 / 48.95 ± 6.81 |
0.0.0 |
0.0.0 |
| intfloat/multilingual-e5-base |
278 |
250 |
512 |
True |
14,965 ± 2,890 / 3,322 ± 1,074 |
4.01 |
87.44 ± 0.35 / 88.01 ± 0.28 |
7.38 ± 6.28 / 47.69 ± 4.51 |
12.6.1 |
12.6.1 |
| mideind/IceBERT-large |
406 |
50 |
512 |
True |
5,677 ± 719 / 1,886 ± 604 |
4.02 |
86.84 ± 0.77 / 87.51 ± 0.72 |
9.82 ± 3.95 / 50.49 ± 3.45 |
0.0.0 |
0.0.0 |
| mideind/IceBERT |
124 |
50 |
512 |
True |
16,697 ± 2,113 / 5,432 ± 1,749 |
4.02 |
86.50 ± 0.96 / 87.11 ± 0.90 |
10.13 ± 8.55 / 47.31 ± 7.04 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-sbert-base |
177 |
120 |
512 |
True |
17,757 ± 3,883 / 3,864 ± 1,237 |
4.04 |
86.20 ± 0.50 / 86.91 ± 0.46 |
11.80 ± 7.52 / 53.06 ± 5.04 |
12.10.5 |
12.10.5 |
| KBLab/megatron-bert-large-swedish-cased-165k |
369 |
64 |
512 |
True |
7,138 ± 1,111 / 2,067 ± 660 |
4.10 |
82.76 ± 0.95 / 83.43 ± 0.88 |
7.58 ± 3.56 / 52.05 ± 1.14 |
0.0.0 |
0.0.0 |
| flax-community/nordic-roberta-wiki |
124 |
50 |
512 |
True |
16,227 ± 2,650 / 4,252 ± 1,393 |
4.10 |
82.64 ± 0.63 / 83.27 ± 0.65 |
8.03 ± 2.01 / 51.96 ± 1.87 |
0.0.0 |
0.0.0 |
| KBLab/megatron-bert-base-swedish-cased-125k |
135 |
64 |
512 |
True |
15,763 ± 2,523 / 4,238 ± 1,370 |
4.14 |
80.61 ± 0.91 / 81.31 ± 0.89 |
9.60 ± 3.82 / 52.30 ± 1.73 |
12.7.0 |
12.7.0 |
| meta-llama/Meta-Llama-3-70B (few-shot, val) |
70554 |
128 |
8192 |
True |
312 ± 55 / 177 ± 51 |
4.22 |
77.06 ± 2.00 / 72.16 ± 2.64 |
8.00 ± 4.87 / 44.90 ± 5.26 |
12.7.0 |
12.7.0 |
| mideind/IceBERT-ic3 |
124 |
50 |
512 |
True |
12,119 ± 1,576 / 3,812 ± 1,242 |
4.28 |
87.22 ± 0.68 / 87.92 ± 0.59 |
6.23 ± 6.96 / 48.55 ± 4.87 |
0.0.0 |
0.0.0 |
| gpt-3.5-turbo-0613 (few-shot, val) |
unknown |
100 |
4095 |
True |
921 ± 293 / 113 ± 37 |
4.29 |
72.48 ± 2.39 / 67.50 ± 2.38 |
8.29 ± 5.92 / 42.34 ± 3.49 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-roberta-base-scandinavian |
125 |
50 |
512 |
True |
14,051 ± 3,289 / 2,704 ± 897 |
4.31 |
86.10 ± 0.64 / 86.75 ± 0.57 |
6.28 ± 2.41 / 49.62 ± 2.08 |
0.0.0 |
0.0.0 |
| google-bert/bert-base-multilingual-cased |
177 |
120 |
512 |
True |
14,083 ± 3,264 / 2,738 ± 889 |
4.31 |
86.36 ± 0.57 / 87.14 ± 0.52 |
6.08 ± 4.57 / 48.47 ± 3.93 |
0.0.0 |
0.0.0 |
| KBLab/bert-base-swedish-cased-new |
135 |
64 |
512 |
True |
15,933 ± 2,541 / 4,289 ± 1,376 |
4.35 |
84.02 ± 0.86 / 84.66 ± 0.82 |
5.65 ± 3.07 / 49.17 ± 3.05 |
12.7.0 |
12.7.0 |
| mideind/IceBERT-igc |
124 |
50 |
512 |
True |
12,551 ± 1,656 / 3,918 ± 1,274 |
4.35 |
83.82 ± 0.98 / 84.34 ± 0.88 |
4.93 ± 3.16 / 45.85 ± 3.66 |
0.0.0 |
0.0.0 |
| AI-Nordics/bert-large-swedish-cased |
334 |
31 |
512 |
True |
7,199 ± 1,139 / 2,051 ± 651 |
4.37 |
83.22 ± 0.71 / 83.91 ± 0.66 |
6.78 ± 3.31 / 51.53 ± 2.36 |
12.7.0 |
12.7.0 |
| KBLab/megatron-bert-large-swedish-cased-110k |
369 |
64 |
512 |
True |
7,075 ± 1,093 / 2,057 ± 661 |
4.37 |
82.36 ± 0.91 / 82.94 ± 0.90 |
5.20 ± 2.67 / 50.88 ± 1.55 |
0.0.0 |
0.0.0 |
| patrickvonplaten/norwegian-roberta-base |
124 |
50 |
512 |
True |
15,698 ± 2,699 / 3,891 ± 1,278 |
4.37 |
82.57 ± 0.93 / 83.35 ± 0.91 |
5.74 ± 3.53 / 48.75 ± 3.22 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/roberta-large-1350k |
354 |
50 |
512 |
True |
5,744 ± 969 / 1,539 ± 492 |
4.41 |
88.21 ± 0.97 / 88.63 ± 0.87 |
3.16 ± 2.26 / 38.93 ± 4.61 |
10.0.1 |
10.0.1 |
| flax-community/swe-roberta-wiki-oscar |
124 |
50 |
512 |
True |
15,437 ± 2,628 / 3,834 ± 1,252 |
4.41 |
80.52 ± 0.76 / 81.35 ± 0.69 |
6.51 ± 3.60 / 51.81 ± 1.95 |
0.0.0 |
0.0.0 |
| intfloat/multilingual-e5-large |
559 |
250 |
512 |
True |
6,732 ± 1,273 / 1,633 ± 523 |
4.41 |
88.39 ± 0.86 / 88.75 ± 0.75 |
2.85 ± 1.32 / 48.43 ± 2.29 |
0.0.0 |
0.0.0 |
| Geotrend/bert-base-da-cased |
103 |
23 |
512 |
True |
15,432 ± 2,838 / 3,642 ± 1,189 |
4.43 |
86.62 ± 0.43 / 87.31 ± 0.44 |
3.64 ± 3.82 / 49.77 ± 2.26 |
0.0.0 |
0.0.0 |
| vesteinn/IceBERT |
163 |
50 |
512 |
True |
12,360 ± 1,611 / 3,858 ± 1,246 |
4.43 |
87.13 ± 0.58 / 87.70 ± 0.45 |
3.66 ± 3.33 / 40.81 ± 4.34 |
0.0.0 |
0.0.0 |
| vesteinn/XLMR-ENIS |
125 |
50 |
512 |
True |
10,711 ± 2,333 / 2,141 ± 689 |
4.43 |
87.09 ± 0.76 / 87.71 ± 0.73 |
3.09 ± 1.98 / 39.41 ± 4.45 |
0.0.0 |
0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-medium-2 |
124 |
50 |
512 |
True |
14,965 ± 2,550 / 3,798 ± 1,216 |
4.48 |
84.72 ± 0.84 / 85.44 ± 0.81 |
3.79 ± 1.83 / 49.66 ± 2.54 |
0.0.0 |
0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-medium |
124 |
50 |
512 |
True |
14,998 ± 2,549 / 3,833 ± 1,223 |
4.48 |
84.92 ± 0.70 / 85.65 ± 0.67 |
2.96 ± 2.66 / 45.42 ± 4.03 |
0.0.0 |
0.0.0 |
| distilbert/distilbert-base-multilingual-cased |
135 |
120 |
512 |
True |
26,355 ± 5,946 / 5,266 ± 1,714 |
4.48 |
84.80 ± 0.85 / 85.49 ± 0.80 |
4.41 ± 4.92 / 50.84 ± 1.97 |
0.0.0 |
0.0.0 |
| vesteinn/DanskBERT |
124 |
50 |
512 |
True |
15,749 ± 2,665 / 4,014 ± 1,281 |
4.48 |
85.04 ± 0.57 / 85.72 ± 0.50 |
4.48 ± 1.63 / 44.45 ± 4.77 |
0.0.0 |
0.0.0 |
| DeepPavlov/rubert-base-cased |
177 |
120 |
512 |
True |
15,785 ± 2,658 / 3,983 ± 1,289 |
4.51 |
83.15 ± 0.73 / 83.90 ± 0.74 |
3.21 ± 2.89 / 47.97 ± 3.56 |
0.0.0 |
0.0.0 |
| Geotrend/distilbert-base-25lang-cased |
109 |
85 |
512 |
True |
26,099 ± 5,881 / 5,178 ± 1,665 |
4.51 |
83.21 ± 0.53 / 83.81 ± 0.45 |
2.37 ± 4.63 / 48.46 ± 3.19 |
12.6.1 |
12.6.1 |
| KB/bert-base-swedish-cased |
124 |
50 |
512 |
True |
16,181 ± 2,451 / 4,620 ± 1,507 |
4.51 |
82.76 ± 1.26 / 83.50 ± 1.20 |
3.98 ± 2.70 / 47.46 ± 2.35 |
0.0.0 |
0.0.0 |
| sentence-transformers/stsb-xlm-r-multilingual |
277 |
250 |
512 |
True |
15,040 ± 2,953 / 3,417 ± 1,100 |
4.51 |
82.97 ± 0.83 / 83.62 ± 0.81 |
2.93 ± 1.96 / 46.51 ± 4.19 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/roberta-large-1160k |
354 |
50 |
512 |
True |
14,014 ± 2,384 / 3,625 ± 1,146 |
4.53 |
88.24 ± 0.58 / 88.48 ± 0.54 |
1.73 ± 1.70 / 42.32 ± 5.16 |
10.0.1 |
10.0.1 |
| FacebookAI/xlm-roberta-large |
559 |
250 |
512 |
True |
17,897 ± 3,921 / 3,463 ± 1,141 |
4.53 |
87.85 ± 0.95 / 88.21 ± 0.87 |
1.17 ± 2.11 / 40.94 ± 5.07 |
0.0.0 |
0.0.0 |
| Geotrend/distilbert-base-en-no-cased |
69 |
33 |
512 |
True |
26,597 ± 6,036 / 5,271 ± 1,697 |
4.53 |
82.05 ± 0.46 / 82.67 ± 0.43 |
3.98 ± 2.94 / 50.53 ± 1.83 |
12.7.0 |
12.7.0 |
| sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 |
118 |
250 |
512 |
True |
29,201 ± 6,282 / 6,045 ± 2,027 |
4.53 |
82.24 ± 0.85 / 82.84 ± 0.78 |
2.84 ± 1.41 / 50.47 ± 1.13 |
0.0.0 |
0.0.0 |
| KBLab/megatron-bert-base-swedish-cased-600k |
135 |
64 |
512 |
True |
15,726 ± 2,508 / 4,234 ± 1,365 |
4.56 |
81.02 ± 0.75 / 81.74 ± 0.75 |
4.00 ± 2.04 / 50.51 ± 1.11 |
12.7.0 |
12.7.0 |
| dbmdz/bert-base-historic-multilingual-cased |
110 |
32 |
512 |
True |
20,047 ± 4,407 / 3,844 ± 1,259 |
4.56 |
80.45 ± 1.48 / 81.32 ± 1.42 |
2.52 ± 1.88 / 47.78 ± 1.67 |
0.0.0 |
0.0.0 |
| google-bert/bert-base-multilingual-uncased |
167 |
106 |
512 |
True |
13,993 ± 3,217 / 2,752 ± 893 |
4.56 |
73.06 ± 1.51 / 72.61 ± 1.40 |
5.48 ± 2.42 / 49.18 ± 3.63 |
0.0.0 |
0.0.0 |
| 152334H/miqu-1-70b-sf (few-shot, val) |
68977 |
32 |
32889 |
True |
2,126 ± 676 / 319 ± 104 |
4.58 |
71.89 ± 2.22 / 68.00 ± 2.95 |
4.76 ± 2.91 / 46.92 ± 3.94 |
12.7.0 |
12.7.0 |
| clips/mfaq |
277 |
250 |
512 |
True |
5,591 ± 187 / 3,349 ± 1,105 |
4.58 |
85.86 ± 0.51 / 86.55 ± 0.49 |
0.80 ± 2.32 / 42.37 ± 4.42 |
12.7.0 |
12.7.0 |
| microsoft/infoxlm-base |
277 |
250 |
512 |
True |
34,735 ± 7,558 / 6,846 ± 2,312 |
4.58 |
85.58 ± 1.04 / 86.23 ± 1.03 |
0.35 ± 2.36 / 43.55 ± 4.58 |
0.0.0 |
0.0.0 |
| Twitter/twhin-bert-large |
560 |
250 |
512 |
True |
9,707 ± 1,664 / 2,549 ± 831 |
4.60 |
84.73 ± 1.49 / 85.19 ± 1.59 |
1.37 ± 2.46 / 39.78 ± 3.24 |
0.0.0 |
0.0.0 |
| Twitter/twhin-bert-base |
279 |
250 |
512 |
True |
11,514 ± 2,041 / 2,862 ± 918 |
4.62 |
84.00 ± 1.30 / 84.83 ± 1.28 |
1.94 ± 2.58 / 46.27 ± 2.74 |
12.6.1 |
12.6.1 |
| ZurichNLP/unsup-simcse-xlm-roberta-base |
277 |
250 |
512 |
True |
34,520 ± 7,443 / 6,730 ± 2,224 |
4.62 |
84.14 ± 0.67 / 84.82 ± 0.64 |
1.33 ± 2.18 / 48.85 ± 1.23 |
12.6.1 |
12.6.1 |
| cardiffnlp/twitter-xlm-roberta-base |
277 |
250 |
512 |
True |
34,475 ± 7,465 / 6,712 ± 2,223 |
4.62 |
83.96 ± 0.80 / 84.63 ± 0.76 |
1.05 ± 1.66 / 41.31 ± 4.91 |
0.0.0 |
0.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v2 |
135 |
120 |
512 |
True |
33,247 ± 8,123 / 6,017 ± 1,977 |
4.63 |
77.00 ± 1.08 / 77.85 ± 1.05 |
4.09 ± 2.27 / 47.26 ± 3.09 |
12.6.1 |
0.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased |
135 |
120 |
512 |
True |
19,206 ± 4,451 / 3,658 ± 1,187 |
4.63 |
77.16 ± 0.93 / 78.00 ± 0.91 |
4.09 ± 2.27 / 47.26 ± 3.09 |
12.6.1 |
0.0.0 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking |
135 |
120 |
512 |
True |
33,753 ± 8,349 / 5,937 ± 1,946 |
4.64 |
82.91 ± 0.89 / 83.43 ± 0.87 |
1.67 ± 2.22 / 46.20 ± 3.31 |
0.0.0 |
0.0.0 |
| sentence-transformers/quora-distilbert-multilingual |
135 |
120 |
512 |
True |
26,458 ± 5,992 / 5,274 ± 1,731 |
4.64 |
82.91 ± 0.89 / 83.43 ± 0.87 |
1.67 ± 2.22 / 46.20 ± 3.31 |
0.0.0 |
0.0.0 |
| Nexusflow/Starling-LM-7B-beta (few-shot) |
7242 |
32 |
8192 |
False |
5,876 ± 1,021 / 1,677 ± 546 |
4.66 |
66.98 ± 1.97 / 60.82 ± 2.81 |
5.80 ± 2.04 / 42.89 ± 2.71 |
12.5.2 |
12.5.2 |
| mlabonne/AlphaMonarch-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
5,340 ± 1,262 / 1,157 ± 375 |
4.66 |
64.39 ± 3.14 / 59.80 ± 3.68 |
4.74 ± 4.59 / 48.96 ± 4.16 |
12.5.2 |
12.5.2 |
| senseable/WestLake-7B-v2 (few-shot) |
7242 |
32 |
32768 |
False |
5,993 ± 1,028 / 1,742 ± 561 |
4.66 |
67.42 ± 2.21 / 60.87 ± 3.22 |
7.02 ± 1.56 / 49.32 ± 2.91 |
12.6.1 |
12.6.1 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 |
135 |
120 |
512 |
True |
34,042 ± 8,482 / 5,951 ± 1,950 |
4.66 |
75.63 ± 1.41 / 76.23 ± 1.36 |
3.65 ± 1.93 / 48.34 ± 1.78 |
12.6.1 |
0.0.0 |
| DDSC/roberta-base-danish |
125 |
50 |
512 |
True |
15,004 ± 2,964 / 3,290 ± 1,092 |
4.68 |
80.21 ± 0.95 / 80.80 ± 0.97 |
1.10 ± 2.44 / 48.16 ± 1.47 |
0.0.0 |
0.0.0 |
| KBLab/bert-base-swedish-cased |
125 |
50 |
512 |
True |
16,164 ± 2,392 / 4,574 ± 1,478 |
4.68 |
79.99 ± 1.13 / 80.76 ± 1.10 |
1.32 ± 2.66 / 49.75 ± 1.50 |
12.7.0 |
12.7.0 |
| danish-foundation-models/encoder-small-v1 |
22 |
96 |
128 |
True |
6,002 ± 129 / 3,832 ± 1,242 |
4.68 |
79.97 ± 1.24 / 80.28 ± 1.24 |
0.93 ± 2.91 / 45.79 ± 3.78 |
0.0.0 |
0.0.0 |
| dbmdz/bert-medium-historic-multilingual-cased |
42 |
32 |
512 |
True |
24,291 ± 4,887 / 5,096 ± 1,655 |
4.68 |
80.58 ± 0.45 / 81.29 ± 0.46 |
1.58 ± 2.34 / 49.16 ± 2.33 |
0.0.0 |
0.0.0 |
| deepset/gbert-base |
109 |
31 |
512 |
True |
37,268 ± 6,577 / 8,719 ± 2,865 |
4.68 |
80.48 ± 0.91 / 81.17 ± 0.85 |
0.60 ± 2.08 / 45.78 ± 2.54 |
0.0.0 |
0.0.0 |
| microsoft/xlm-align-base |
277 |
250 |
512 |
True |
14,744 ± 2,870 / 3,265 ± 1,053 |
4.68 |
85.97 ± 1.12 / 86.52 ± 1.08 |
0.02 ± 1.38 / 44.65 ± 2.65 |
0.0.0 |
0.0.0 |
| sentence-transformers/paraphrase-xlm-r-multilingual-v1 |
278 |
250 |
512 |
True |
20,154 ± 4,438 / 3,890 ± 1,256 |
4.68 |
80.92 ± 0.59 / 81.63 ± 0.56 |
1.19 ± 2.37 / 43.13 ± 4.70 |
12.6.1 |
0.0.0 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) |
8030 |
128 |
8192 |
True |
4,909 ± 1,215 / 978 ± 319 |
4.70 |
73.76 ± 1.34 / 70.21 ± 2.63 |
3.47 ± 1.97 / 49.04 ± 1.89 |
12.6.1 |
12.6.1 |
| danish-foundation-models/encoder-large-v1 |
354 |
50 |
512 |
True |
6,671 ± 1,380 / 1,497 ± 482 |
4.72 |
72.46 ± 0.87 / 71.83 ± 0.83 |
2.93 ± 3.27 / 48.20 ± 1.50 |
0.0.0 |
0.0.0 |
| dbmdz/bert-mini-historic-multilingual-cased |
12 |
32 |
512 |
True |
47,122 ± 9,661 / 9,714 ± 3,152 |
4.72 |
71.10 ± 6.05 / 71.10 ± 6.05 |
2.29 ± 2.11 / 48.81 ± 1.33 |
12.10.1 |
0.0.0 |
| dbmdz/bert-tiny-historic-multilingual-cased |
5 |
32 |
512 |
True |
78,027 ± 15,466 / 17,064 ± 5,335 |
4.72 |
72.08 ± 1.25 / 72.93 ± 1.20 |
2.65 ± 2.40 / 48.48 ± 1.87 |
0.0.0 |
0.0.0 |
| pdelobelle/robbert-v2-dutch-base |
116 |
40 |
512 |
True |
15,481 ± 2,820 / 3,708 ± 1,186 |
4.73 |
78.59 ± 1.16 / 79.35 ± 1.08 |
0.65 ± 2.63 / 47.40 ± 3.23 |
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 |
4.75 |
82.42 ± 1.60 / 78.22 ± 3.29 |
-0.38 ± 1.62 / 43.21 ± 3.75 |
12.7.0 |
12.7.0 |
| FacebookAI/roberta-base |
124 |
50 |
512 |
True |
13,354 ± 3,334 / 2,451 ± 777 |
4.76 |
81.78 ± 0.95 / 82.55 ± 0.90 |
-1.18 ± 2.36 / 37.68 ± 3.64 |
0.0.0 |
0.0.0 |
| Maltehb/aelaectra-danish-electra-small-uncased |
14 |
32 |
128 |
True |
5,995 ± 135 / 3,839 ± 1,247 |
4.76 |
62.07 ± 1.18 / 61.72 ± 1.18 |
5.11 ± 3.80 / 47.64 ± 4.52 |
0.0.0 |
0.0.0 |
| gpt-4o-2024-05-13 (few-shot, val) |
unknown |
200 |
127999 |
True |
916 ± 329 / 114 ± 38 |
4.76 |
81.86 ± 2.08 / 67.98 ± 3.64 |
-0.97 ± 2.82 / 33.64 ± 0.85 |
12.10.0 |
12.10.0 |
| mhenrichsen/hestenettetLM (few-shot) |
7242 |
32 |
32768 |
True |
5,160 ± 804 / 1,654 ± 516 |
4.76 |
62.82 ± 3.50 / 58.05 ± 3.79 |
4.96 ± 2.36 / 43.40 ± 4.95 |
12.5.2 |
12.3.2 |
| sentence-transformers/paraphrase-multilingual-mpnet-base-v2 |
278 |
250 |
512 |
True |
15,100 ± 3,019 / 3,369 ± 1,103 |
4.76 |
81.70 ± 0.58 / 82.18 ± 0.53 |
0.25 ± 2.87 / 44.81 ± 2.90 |
12.7.0 |
0.0.0 |
| 3ebdola/Dialectal-Arabic-XLM-R-Base |
277 |
250 |
512 |
True |
12,783 ± 2,537 / 2,712 ± 885 |
4.82 |
73.34 ± 1.57 / 74.24 ± 1.56 |
0.97 ± 2.25 / 44.25 ± 3.12 |
12.6.1 |
12.6.1 |
| KBLab/albert-base-swedish-cased-alpha |
14 |
50 |
512 |
True |
15,925 ± 2,281 / 4,780 ± 1,554 |
4.82 |
73.80 ± 0.98 / 74.58 ± 0.92 |
0.81 ± 2.90 / 48.11 ± 2.18 |
0.0.0 |
0.0.0 |
| sarnikowski/convbert-medium-small-da-cased |
24 |
29 |
512 |
True |
13,821 ± 2,209 / 3,547 ± 1,184 |
4.82 |
59.66 ± 0.63 / 59.39 ± 0.60 |
4.58 ± 3.90 / 50.83 ± 2.59 |
0.0.0 |
0.0.0 |
| google/canine-c |
132 |
1114 |
2048 |
True |
32,383 ± 4,831 / 9,953 ± 3,100 |
4.85 |
72.41 ± 1.02 / 73.35 ± 1.01 |
1.20 ± 1.46 / 47.36 ± 1.53 |
12.7.0 |
12.7.0 |
| sarnikowski/convbert-small-da-cased |
13 |
29 |
512 |
True |
14,273 ± 2,312 / 3,555 ± 1,187 |
4.86 |
58.50 ± 0.63 / 58.33 ± 0.70 |
5.96 ± 2.04 / 51.99 ± 1.53 |
0.0.0 |
0.0.0 |
| mistralai/Mistral-7B-v0.1 (few-shot) |
7242 |
32 |
32768 |
True |
2,657 ± 524 / 880 ± 278 |
4.90 |
62.63 ± 3.44 / 57.85 ± 3.72 |
2.84 ± 1.84 / 42.62 ± 4.53 |
9.1.2 |
9.1.2 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
2,549 ± 472 / 784 ± 245 |
4.90 |
62.78 ± 3.13 / 59.73 ± 3.23 |
3.69 ± 5.47 / 48.72 ± 3.41 |
9.3.2 |
9.3.2 |
| DDSC/roberta-base-scandinavian |
124 |
50 |
512 |
True |
14,491 ± 2,800 / 3,182 ± 1,026 |
4.93 |
63.86 ± 20.89 / 64.42 ± 21.07 |
0.73 ± 2.11 / 49.36 ± 1.78 |
0.0.0 |
0.0.0 |
| meta-llama/Llama-2-70b-chat-hf (few-shot, val) |
68977 |
32 |
4221 |
True |
1,979 ± 621 / 320 ± 105 |
4.93 |
68.27 ± 3.22 / 62.82 ± 3.53 |
0.58 ± 1.85 / 36.79 ± 4.40 |
12.7.0 |
12.7.0 |
| EuropeanParliament/EUBERT |
94 |
66 |
512 |
True |
20,070 ± 3,977 / 4,400 ± 1,435 |
4.96 |
59.50 ± 1.56 / 58.98 ± 1.55 |
3.25 ± 2.04 / 49.77 ± 1.40 |
12.6.1 |
12.6.1 |
| ltg/norbert2 |
125 |
50 |
512 |
True |
15,523 ± 2,863 / 3,690 ± 1,195 |
4.96 |
60.57 ± 0.86 / 60.42 ± 0.90 |
4.16 ± 2.63 / 47.13 ± 3.43 |
0.0.0 |
0.0.0 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) |
10732 |
32 |
4096 |
True |
3,780 ± 906 / 799 ± 261 |
4.96 |
71.15 ± 1.89 / 69.19 ± 1.84 |
0.00 ± 0.00 / 33.26 ± 0.34 |
12.5.3 |
12.5.3 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) |
7242 |
32 |
32768 |
False |
5,822 ± 1,283 / 1,336 ± 430 |
5.03 |
63.40 ± 2.78 / 59.96 ± 2.91 |
2.16 ± 2.25 / 39.38 ± 4.12 |
12.7.0 |
12.7.0 |
| alpindale/Mistral-7B-v0.2-hf (few-shot) |
7242 |
32 |
32768 |
True |
1,841 ± 297 / 651 ± 193 |
5.03 |
61.26 ± 4.22 / 59.21 ± 4.36 |
1.66 ± 1.37 / 45.22 ± 3.21 |
12.5.2 |
12.5.2 |
| meta-llama/Meta-Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,687 ± 1,121 / 967 ± 313 |
5.03 |
61.11 ± 4.21 / 58.55 ± 4.19 |
2.02 ± 1.68 / 39.88 ± 3.56 |
12.6.1 |
12.6.1 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
5.03 |
61.28 ± 2.98 / 54.02 ± 3.55 |
1.68 ± 1.41 / 50.06 ± 1.22 |
9.2.0 |
9.3.1 |
| mistralai/Mistral-7B-v0.3 (few-shot) |
7248 |
33 |
32768 |
True |
4,120 ± 976 / 926 ± 306 |
5.03 |
61.32 ± 4.26 / 59.28 ± 4.43 |
1.30 ± 1.64 / 45.10 ± 3.27 |
12.10.4 |
12.10.4 |
| meta-llama/Llama-2-70b-hf (few-shot, val) |
68977 |
32 |
4221 |
True |
1,892 ± 650 / 318 ± 105 |
5.04 |
66.95 ± 5.19 / 65.92 ± 4.57 |
0.00 ± 0.00 / 33.10 ± 0.80 |
12.7.0 |
12.7.0 |
| Maltehb/aelaectra-danish-electra-small-cased |
14 |
32 |
512 |
True |
4,593 ± 114 / 3,034 ± 973 |
5.08 |
58.52 ± 3.91 / 59.67 ± 3.83 |
1.09 ± 2.20 / 33.70 ± 0.56 |
12.7.0 |
12.7.0 |
| google/gemma-7b-it (few-shot) |
8538 |
256 |
8317 |
False |
1,792 ± 249 / 668 ± 203 |
5.10 |
53.08 ± 1.92 / 52.63 ± 1.65 |
2.39 ± 2.27 / 48.60 ± 2.21 |
12.10.0 |
12.10.0 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) |
6738 |
32 |
4096 |
False |
5,384 ± 879 / 1,746 ± 553 |
5.16 |
53.38 ± 3.96 / 53.04 ± 3.85 |
0.46 ± 2.01 / 44.83 ± 3.28 |
12.5.2 |
12.3.2 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
5.16 |
55.42 ± 2.12 / 46.41 ± 2.50 |
1.11 ± 2.41 / 36.79 ± 4.00 |
9.3.1 |
9.3.1 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) |
20918 |
64 |
2048 |
True |
1,875 ± 673 / 261 ± 91 |
5.18 |
46.50 ± 3.24 / 45.65 ± 2.54 |
3.95 ± 2.03 / 46.57 ± 3.18 |
9.3.1 |
9.3.1 |
| fresh-xlm-roberta-base |
277 |
250 |
512 |
True |
2,214 ± 94 / 1,494 ± 229 |
5.18 |
48.70 ± 1.57 / 48.51 ± 1.57 |
2.37 ± 2.06 / 37.68 ± 3.25 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/tyr (few-shot, val) |
7242 |
32 |
32768 |
False |
6,079 ± 1,051 / 1,760 ± 570 |
5.19 |
60.21 ± 3.50 / 58.44 ± 3.67 |
0.00 ± 0.00 / 33.10 ± 0.80 |
12.3.2 |
12.3.2 |
| RuterNorway/Llama-2-13b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
3,254 ± 1,068 / 484 ± 173 |
5.19 |
60.54 ± 2.28 / 58.62 ± 1.89 |
-0.33 ± 1.12 / 37.78 ± 3.09 |
9.3.1 |
9.3.1 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) |
6738 |
32 |
4096 |
False |
2,643 ± 455 / 800 ± 247 |
5.19 |
59.77 ± 3.38 / 56.97 ± 4.30 |
-0.54 ± 1.61 / 36.94 ± 2.79 |
9.3.1 |
9.3.1 |
| occiglot/occiglot-7b-eu5-instruct (few-shot) |
7242 |
32 |
32768 |
False |
2,088 ± 352 / 706 ± 214 |
5.19 |
60.37 ± 3.60 / 59.38 ± 3.85 |
0.00 ± 0.00 / 33.26 ± 0.34 |
12.5.2 |
12.3.1 |
| occiglot/occiglot-7b-eu5 (few-shot) |
7242 |
32 |
32768 |
True |
2,219 ± 427 / 717 ± 224 |
5.19 |
58.67 ± 3.95 / 58.47 ± 3.96 |
0.00 ± 0.00 / 33.26 ± 0.34 |
12.5.2 |
12.1.0 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) |
7242 |
32 |
32768 |
True |
5,054 ± 1,200 / 1,056 ± 339 |
5.19 |
58.96 ± 2.05 / 52.20 ± 2.50 |
0.00 ± 0.00 / 33.26 ± 0.34 |
12.5.3 |
12.5.3 |
| TurkuNLP/bert-base-finnish-cased-v1 |
124 |
50 |
512 |
True |
16,701 ± 2,104 / 5,450 ± 1,778 |
5.23 |
51.26 ± 1.05 / 51.07 ± 1.06 |
1.77 ± 1.36 / 46.91 ± 2.77 |
0.0.0 |
0.0.0 |
| ibm-granite/granite-7b-base (few-shot) |
6738 |
32 |
2048 |
True |
4,405 ± 1,098 / 1,032 ± 345 |
5.23 |
52.91 ± 1.95 / 53.34 ± 1.93 |
1.67 ± 2.38 / 43.96 ± 3.66 |
12.10.5 |
12.10.5 |
| meta-llama/Llama-2-13b-hf (few-shot) |
13016 |
32 |
4096 |
True |
2,898 ± 637 / 736 ± 236 |
5.23 |
57.74 ± 3.24 / 57.86 ± 3.03 |
-0.57 ± 2.20 / 34.97 ± 1.92 |
12.10.5 |
12.10.4 |
| Maltehb/danish-bert-botxo |
110 |
32 |
512 |
True |
16,091 ± 2,427 / 4,575 ± 1,485 |
5.26 |
43.59 ± 0.80 / 42.84 ± 0.86 |
3.13 ± 1.29 / 49.29 ± 1.28 |
0.0.0 |
0.0.0 |
| google/gemma-7b (few-shot) |
8538 |
256 |
8192 |
True |
1,378 ± 260 / 387 ± 119 |
5.26 |
43.32 ± 4.46 / 42.17 ± 4.06 |
4.28 ± 3.46 / 49.12 ± 2.54 |
12.9.1 |
12.9.1 |
| microsoft/Phi-3-mini-128k-instruct (few-shot) |
3821 |
32 |
131072 |
True |
7,312 ± 1,668 / 1,609 ± 525 |
5.27 |
54.65 ± 1.45 / 44.64 ± 2.43 |
-0.67 ± 3.41 / 38.53 ± 4.31 |
12.9.1 |
12.9.1 |
| microsoft/Phi-3-mini-4k-instruct (few-shot) |
3821 |
32 |
4096 |
True |
5,224 ± 1,371 / 1,063 ± 358 |
5.27 |
56.61 ± 1.75 / 47.94 ± 1.94 |
-0.19 ± 1.95 / 36.90 ± 2.70 |
12.10.5 |
12.10.5 |
| norallm/normistral-7b-warm-instruct (few-shot) |
7248 |
33 |
4096 |
True |
6,194 ± 949 / 1,967 ± 619 |
5.27 |
54.03 ± 3.25 / 50.83 ± 3.50 |
0.11 ± 2.33 / 44.23 ± 3.90 |
12.7.0 |
12.7.0 |
| LumiOpen/Viking-13B (few-shot) |
14030 |
131 |
4224 |
True |
840 ± 79 / 400 ± 124 |
5.31 |
49.32 ± 2.20 / 46.86 ± 2.03 |
1.70 ± 2.41 / 37.62 ± 2.87 |
12.10.5 |
12.10.5 |
| stabilityai/stablelm-2-1_6b (few-shot) |
1645 |
100 |
4096 |
True |
7,259 ± 2,120 / 1,240 ± 432 |
5.31 |
48.39 ± 4.46 / 49.13 ± 4.10 |
1.35 ± 2.97 / 47.85 ± 1.89 |
12.10.8 |
12.10.8 |
| asafaya/bert-base-arabic |
110 |
32 |
512 |
True |
16,347 ± 2,191 / 5,125 ± 1,672 |
5.34 |
50.44 ± 1.82 / 49.80 ± 1.76 |
-0.06 ± 2.46 / 45.46 ± 4.05 |
0.0.0 |
0.0.0 |
| meta-llama/Llama-2-7b-hf (few-shot) |
6738 |
32 |
4096 |
True |
930 ± 310 / 128 ± 43 |
5.34 |
52.34 ± 5.11 / 52.53 ± 4.79 |
0.11 ± 1.45 / 33.49 ± 0.47 |
9.2.0 |
9.2.0 |
| tollefj/nordavind-7b-instruct-warm (few-shot) |
7248 |
33 |
2048 |
False |
6,450 ± 961 / 2,082 ± 658 |
5.34 |
53.24 ± 2.75 / 50.65 ± 2.85 |
-0.52 ± 1.71 / 42.25 ± 3.52 |
12.5.2 |
12.3.2 |
| alexanderfalk/danbert-small-cased |
83 |
52 |
512 |
True |
30,013 ± 4,309 / 8,840 ± 2,859 |
5.39 |
45.16 ± 2.00 / 44.76 ± 2.01 |
2.24 ± 1.83 / 43.57 ± 4.41 |
0.0.0 |
0.0.0 |
| timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) |
7242 |
32 |
32768 |
False |
5,172 ± 813 / 1,647 ± 518 |
5.39 |
43.52 ± 3.97 / 44.38 ± 3.42 |
1.82 ± 2.08 / 34.03 ± 0.66 |
12.5.2 |
12.3.2 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) |
7111 |
64 |
2048 |
True |
2,383 ± 451 / 718 ± 221 |
5.45 |
42.14 ± 1.37 / 42.12 ± 1.38 |
0.72 ± 1.51 / 37.81 ± 3.14 |
12.7.0 |
12.7.0 |
| Qwen/Qwen1.5-4B-Chat (few-shot) |
3950 |
152 |
32768 |
False |
4,347 ± 893 / 1,135 ± 365 |
5.50 |
43.80 ± 4.46 / 44.36 ± 3.59 |
-0.42 ± 2.18 / 34.33 ± 1.47 |
12.5.2 |
12.1.0 |
| allenai/OLMo-1.7-7B-hf (few-shot) |
6888 |
50 |
4096 |
True |
3,371 ± 876 / 561 ± 184 |
5.50 |
43.45 ± 5.46 / 42.27 ± 5.19 |
-0.80 ± 2.08 / 40.32 ± 3.46 |
12.10.5 |
12.10.4 |
| NorwAI/NorwAI-Mistral-7B (few-shot) |
7537 |
68 |
4096 |
True |
3,035 ± 503 / 911 ± 300 |
5.54 |
36.20 ± 7.60 / 37.70 ± 5.04 |
0.91 ± 1.92 / 43.11 ± 3.81 |
12.10.4 |
12.10.4 |
| RJuro/kanelsnegl-v0.2 (few-shot) |
7242 |
32 |
512 |
True |
1,373 ± 120 / 709 ± 172 |
5.56 |
40.39 ± 5.42 / 38.39 ± 5.00 |
0.00 ± 0.00 / 33.40 ± 0.34 |
12.7.0 |
12.7.0 |
| AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) |
20918 |
64 |
2048 |
True |
1,831 ± 587 / 268 ± 90 |
5.61 |
39.50 ± 1.68 / 35.80 ± 1.50 |
-0.04 ± 1.87 / 33.86 ± 0.53 |
9.3.1 |
9.3.1 |
| allenai/OLMo-1B (few-shot) |
1177 |
50 |
2176 |
True |
8,536 ± 1,926 / 1,940 ± 619 |
5.64 |
31.84 ± 5.22 / 34.80 ± 3.88 |
1.01 ± 2.39 / 39.75 ± 4.10 |
12.5.2 |
12.1.0 |
| AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) |
471 |
64 |
2048 |
True |
5,855 ± 1,373 / 1,223 ± 391 |
5.65 |
37.33 ± 1.14 / 37.83 ± 1.08 |
0.31 ± 0.60 / 33.42 ± 0.32 |
12.7.0 |
12.7.0 |
| Qwen/Qwen1.5-4B (few-shot) |
3950 |
152 |
32768 |
True |
3,248 ± 739 / 761 ± 252 |
5.65 |
34.20 ± 5.85 / 35.35 ± 5.04 |
-0.36 ± 1.07 / 35.09 ± 1.96 |
12.5.2 |
12.1.0 |
| google/gemma-2b-it (few-shot) |
2506 |
256 |
8192 |
False |
6,471 ± 1,142 / 1,961 ± 584 |
5.71 |
37.60 ± 2.86 / 36.37 ± 2.61 |
-1.62 ± 2.08 / 43.25 ± 3.61 |
12.5.2 |
12.1.0 |
| LumiOpen/Viking-7B (few-shot) |
7550 |
131 |
4096 |
True |
4,969 ± 1,109 / 1,134 ± 374 |
5.74 |
26.54 ± 5.30 / 26.05 ± 5.17 |
0.59 ± 2.72 / 45.88 ± 2.69 |
12.7.0 |
12.7.0 |
| allenai/OLMo-7B (few-shot) |
6888 |
50 |
2176 |
True |
5,403 ± 1,133 / 1,294 ± 423 |
5.74 |
25.08 ± 6.04 / 25.94 ± 6.17 |
1.69 ± 2.72 / 36.58 ± 2.95 |
12.5.2 |
12.5.2 |
| HPLT/gpt-7b-nordic-prerelease (few-shot) |
7550 |
131 |
4096 |
True |
5,404 ± 931 / 1,638 ± 542 |
5.75 |
32.16 ± 4.25 / 31.47 ± 4.12 |
-0.48 ± 2.65 / 38.61 ± 2.83 |
12.5.2 |
12.3.2 |
| Qwen/Qwen1.5-1.8B (few-shot) |
1837 |
152 |
32768 |
True |
5,666 ± 1,328 / 1,256 ± 408 |
5.84 |
18.65 ± 5.84 / 20.64 ± 4.75 |
1.14 ± 1.66 / 37.04 ± 3.83 |
12.5.2 |
12.1.0 |
| allenai/OLMo-7B-Twin-2T (few-shot) |
6888 |
50 |
2176 |
True |
5,484 ± 1,125 / 1,317 ± 425 |
5.84 |
19.57 ± 7.44 / 20.21 ± 6.81 |
0.70 ± 1.76 / 42.12 ± 4.88 |
12.5.2 |
12.5.2 |
| google/gemma-2b (few-shot) |
2506 |
256 |
8192 |
True |
6,087 ± 1,046 / 1,902 ± 563 |
5.84 |
20.15 ± 4.19 / 19.76 ± 4.13 |
1.28 ± 1.43 / 39.41 ± 3.29 |
12.5.2 |
12.1.0 |
| Qwen/Qwen1.5-0.5B (few-shot) |
620 |
152 |
32768 |
True |
11,371 ± 2,924 / 2,122 ± 692 |
5.85 |
29.34 ± 1.57 / 30.91 ± 1.51 |
-1.47 ± 1.54 / 35.84 ± 1.76 |
12.5.2 |
12.1.0 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) |
1837 |
152 |
32768 |
False |
8,304 ± 1,846 / 1,933 ± 617 |
5.85 |
26.11 ± 3.40 / 27.37 ± 2.80 |
0.15 ± 2.21 / 34.34 ± 0.53 |
12.5.2 |
12.1.0 |
| AI-Sweden-Models/gpt-sw3-1.3b (few-shot) |
1445 |
64 |
2048 |
True |
4,608 ± 988 / 1,115 ± 354 |
5.95 |
14.50 ± 8.39 / 14.37 ± 8.27 |
-0.30 ± 0.59 / 33.39 ± 0.33 |
12.7.0 |
12.7.0 |
| NorwAI/NorwAI-Llama2-7B (few-shot) |
7033 |
68 |
4096 |
True |
4,438 ± 1,128 / 1,028 ± 346 |
5.95 |
27.10 ± 1.40 / 27.13 ± 1.63 |
-1.52 ± 2.13 / 37.81 ± 1.56 |
12.10.4 |
12.10.4 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) |
620 |
152 |
32768 |
False |
11,740 ± 3,000 / 2,209 ± 721 |
5.95 |
22.30 ± 2.37 / 22.37 ± 2.40 |
-0.54 ± 1.72 / 36.22 ± 2.35 |
12.5.2 |
12.1.0 |
| RuterNorway/Llama-2-7b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
10,890 ± 2,686 / 2,186 ± 750 |
5.95 |
18.86 ± 4.67 / 19.80 ± 5.33 |
-0.43 ± 1.33 / 39.75 ± 4.08 |
9.3.1 |
9.3.1 |
| fresh-electra-small |
13 |
31 |
512 |
True |
7,840 ± 1,538 / 3,024 ± 438 |
6.04 |
12.10 ± 1.51 / 11.83 ± 1.50 |
0.64 ± 1.57 / 38.69 ± 3.19 |
0.0.0 |
0.0.0 |
| NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) |
7537 |
68 |
4096 |
True |
3,024 ± 496 / 909 ± 301 |
6.23 |
2.64 ± 1.41 / 2.99 ± 1.54 |
0.53 ± 1.90 / 36.70 ± 3.80 |
12.10.4 |
12.10.4 |
| NorGLM/NorGPT-369M (few-shot) |
unknown |
64 |
1024 |
True |
19,896 ± 5,099 / 3,848 ± 1,251 |
6.34 |
1.84 ± 1.25 / 1.80 ± 1.23 |
0.00 ± 0.00 / 33.26 ± 0.34 |
12.5.2 |
12.5.2 |
| 01-ai/Yi-6B (few-shot) |
6061 |
64 |
4096 |
True |
6,435 ± 1,316 / 1,632 ± 549 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
-0.28 ± 0.79 / 33.70 ± 0.64 |
9.3.2 |
10.0.0 |
| RJuro/kanelsnegl-v0.1 (few-shot) |
7242 |
32 |
512 |
True |
5,847 ± 1,029 / 1,640 ± 525 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.40 ± 0.34 |
9.3.1 |
9.3.1 |
| Sigurdur/icebreaker (few-shot) |
110 |
32 |
1024 |
False |
48,619 ± 7,681 / 13,831 ± 4,404 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.40 ± 0.34 |
12.5.2 |
12.5.2 |
| Sigurdur/icechat (few-shot) |
110 |
32 |
1024 |
False |
49,558 ± 7,930 / 13,921 ± 4,425 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.40 ± 0.34 |
12.5.2 |
12.5.2 |
| Sigurdur/jonas-hallgrimsson-gpt2 (few-shot) |
125 |
51 |
512 |
False |
32,644 ± 3,887 / 11,289 ± 3,585 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.40 ± 0.34 |
12.5.2 |
12.5.2 |
| Sigurdur/qa-icebreaker (few-shot) |
110 |
32 |
1024 |
False |
44,889 ± 6,944 / 13,506 ± 4,256 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.40 ± 0.34 |
12.5.2 |
12.5.2 |
| ai-forever/mGPT (few-shot) |
unknown |
100 |
1024 |
True |
11,734 ± 3,124 / 2,174 ± 720 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
-0.24 ± 0.93 / 43.16 ± 3.72 |
9.3.1 |
11.0.0 |
| ltg/norbert |
112 |
33 |
512 |
True |
16,280 ± 2,296 / 4,838 ± 1,583 |
6.39 |
0.00 ± 0.00 / 0.00 ± 0.00 |
-1.21 ± 2.82 / 44.15 ± 3.47 |
0.0.0 |
0.0.0 |