| gpt-4-1106-preview (few-shot, val) |
unknown |
100 |
128000 |
True |
576 ± 221 / 81 ± 28 |
1.09 |
86.37 ± 1.19 / 82.25 ± 2.73 |
52.13 ± 4.37 / 71.97 ± 3.44 |
37.26 ± 2.60 / 66.04 ± 1.95 |
12.5.1 |
12.5.1 |
12.5.1 |
| microsoft/mdeberta-v3-base |
278 |
251 |
512 |
True |
20,637 ± 3,925 / 4,497 ± 1,502 |
1.35 |
81.12 ± 2.02 / 81.48 ± 1.69 |
54.11 ± 2.40 / 76.46 ± 1.28 |
30.93 ± 0.96 / 56.17 ± 1.10 |
0.0.0 |
0.0.0 |
0.0.0 |
| vesteinn/ScandiBERT-no-faroese |
124 |
50 |
512 |
True |
15,436 ± 2,820 / 3,704 ± 1,187 |
1.50 |
83.94 ± 1.34 / 84.66 ± 0.91 |
58.64 ± 1.69 / 78.30 ± 1.26 |
25.35 ± 1.34 / 48.61 ± 1.71 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/rembert |
575 |
250 |
256 |
True |
11,736 ± 2,822 / 2,102 ± 677 |
1.59 |
78.05 ± 1.72 / 78.74 ± 1.41 |
48.29 ± 2.59 / 73.54 ± 1.99 |
29.38 ± 1.81 / 52.42 ± 3.00 |
0.0.0 |
0.0.0 |
0.0.0 |
| vesteinn/XLMR-ENIS |
124 |
50 |
512 |
True |
10,711 ± 2,333 / 2,141 ± 689 |
1.60 |
82.20 ± 1.83 / 82.70 ± 1.41 |
48.51 ± 5.94 / 71.40 ± 4.38 |
27.06 ± 1.18 / 51.37 ± 1.42 |
0.0.0 |
0.0.0 |
0.0.0 |
| mideind/IceBERT-large |
354 |
50 |
512 |
True |
5,677 ± 719 / 1,886 ± 604 |
1.87 |
85.14 ± 1.31 / 84.37 ± 1.00 |
59.31 ± 2.97 / 78.19 ± 1.97 |
12.84 ± 1.51 / 49.01 ± 3.34 |
0.0.0 |
0.0.0 |
0.0.0 |
| mideind/IceBERT |
124 |
50 |
512 |
True |
16,697 ± 2,113 / 5,432 ± 1,749 |
1.87 |
85.32 ± 1.11 / 81.56 ± 1.07 |
60.44 ± 1.93 / 78.11 ± 1.40 |
13.31 ± 0.95 / 49.21 ± 1.36 |
0.0.0 |
0.0.0 |
0.0.0 |
| vesteinn/FoBERT |
124 |
50 |
512 |
True |
15,623 ± 2,828 / 3,737 ± 1,191 |
1.90 |
85.04 ± 0.95 / 80.51 ± 1.10 |
50.78 ± 2.21 / 73.10 ± 1.10 |
17.76 ± 2.33 / 36.98 ± 3.29 |
0.0.0 |
0.0.0 |
0.0.0 |
| mideind/IceBERT-xlmr-ic3 |
277 |
250 |
512 |
True |
11,004 ± 2,244 / 2,324 ± 761 |
1.96 |
84.35 ± 1.14 / 85.07 ± 1.09 |
59.12 ± 1.94 / 78.14 ± 1.24 |
11.18 ± 1.04 / 44.02 ± 2.30 |
0.0.0 |
0.0.0 |
0.0.0 |
| vesteinn/IceBERT |
124 |
50 |
512 |
True |
12,360 ± 1,611 / 3,858 ± 1,246 |
1.96 |
85.34 ± 0.66 / 84.80 ± 0.60 |
55.88 ± 2.20 / 74.91 ± 1.96 |
13.31 ± 0.95 / 49.21 ± 1.36 |
0.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Meta-Llama-3-70B (few-shot, val) |
70554 |
128 |
8192 |
True |
312 ± 55 / 177 ± 51 |
2.03 |
75.33 ± 3.06 / 62.43 ± 3.11 |
14.89 ± 3.28 / 51.55 ± 4.71 |
34.36 ± 2.87 / 64.02 ± 2.94 |
12.7.0 |
12.7.0 |
12.7.0 |
| mideind/IceBERT-ic3 |
124 |
50 |
512 |
True |
12,119 ± 1,576 / 3,812 ± 1,242 |
2.15 |
85.03 ± 0.86 / 85.01 ± 0.93 |
45.06 ± 11.13 / 67.74 ± 7.92 |
10.82 ± 1.12 / 42.82 ± 2.91 |
0.0.0 |
0.0.0 |
0.0.0 |
| mideind/IceBERT-igc |
124 |
50 |
512 |
True |
12,551 ± 1,656 / 3,918 ± 1,274 |
2.19 |
79.85 ± 0.94 / 79.32 ± 0.74 |
54.38 ± 3.78 / 75.08 ± 2.62 |
9.91 ± 0.65 / 42.34 ± 1.46 |
0.0.0 |
0.0.0 |
0.0.0 |
| jonfd/electra-small-nordic |
22 |
96 |
128 |
True |
5,989 ± 120 / 3,809 ± 1,230 |
2.23 |
77.40 ± 0.48 / 78.58 ± 0.56 |
60.64 ± 1.44 / 79.20 ± 1.14 |
6.51 ± 1.69 / 22.61 ± 5.24 |
0.0.0 |
0.0.0 |
0.0.0 |
| pere/roberta-debug-8 |
277 |
250 |
512 |
True |
15,103 ± 2,954 / 3,356 ± 1,090 |
2.26 |
79.95 ± 1.64 / 80.82 ± 1.21 |
47.87 ± 2.08 / 71.03 ± 1.60 |
8.68 ± 1.65 / 37.44 ± 3.06 |
0.0.0 |
0.0.0 |
0.0.0 |
| sentence-transformers/use-cmlm-multilingual |
470 |
501 |
512 |
True |
30,231 ± 8,171 / 4,863 ± 1,598 |
2.30 |
80.91 ± 1.24 / 81.30 ± 0.97 |
41.91 ± 3.45 / 67.96 ± 2.53 |
13.73 ± 0.73 / 52.73 ± 0.85 |
0.0.0 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-roberta-base-scandi-1e4 |
277 |
250 |
512 |
True |
15,074 ± 2,990 / 3,347 ± 1,080 |
2.37 |
81.83 ± 1.65 / 82.24 ± 1.04 |
51.09 ± 3.83 / 73.24 ± 2.23 |
6.66 ± 0.69 / 33.95 ± 0.75 |
0.0.0 |
0.0.0 |
0.0.0 |
| pere/roberta-base-exp-8 |
277 |
250 |
512 |
True |
15,112 ± 2,969 / 3,347 ± 1,093 |
2.37 |
78.58 ± 1.77 / 79.77 ± 1.32 |
47.36 ± 9.50 / 71.21 ± 5.03 |
7.68 ± 0.84 / 33.05 ± 0.90 |
0.0.0 |
0.0.0 |
0.0.0 |
| setu4993/LaBSE |
471 |
501 |
512 |
True |
25,418 ± 6,435 / 4,536 ± 1,452 |
2.37 |
80.45 ± 1.29 / 81.01 ± 1.16 |
36.92 ± 7.62 / 66.07 ± 3.89 |
11.75 ± 0.66 / 46.17 ± 1.42 |
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 |
2.39 |
72.91 ± 3.48 / 68.22 ± 4.46 |
5.01 ± 4.64 / 50.69 ± 3.23 |
31.86 ± 1.86 / 60.66 ± 1.58 |
12.7.0 |
12.7.0 |
12.7.0 |
| pere/roberta-debug-32 |
277 |
250 |
512 |
True |
14,958 ± 2,903 / 3,331 ± 1,077 |
2.40 |
79.18 ± 1.88 / 80.01 ± 1.64 |
50.77 ± 3.04 / 72.92 ± 2.20 |
6.98 ± 0.71 / 32.44 ± 0.58 |
0.0.0 |
0.0.0 |
0.0.0 |
| FacebookAI/xlm-roberta-large |
559 |
250 |
512 |
True |
17,897 ± 3,921 / 3,463 ± 1,141 |
2.46 |
82.83 ± 1.09 / 83.16 ± 1.02 |
22.78 ± 12.25 / 57.07 ± 8.18 |
15.72 ± 1.39 / 55.29 ± 1.30 |
0.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Llama-2-70b-hf (few-shot, val) |
68977 |
32 |
4221 |
True |
1,892 ± 650 / 318 ± 105 |
2.46 |
63.25 ± 4.52 / 53.70 ± 3.09 |
0.00 ± 0.00 / 33.12 ± 0.74 |
32.65 ± 4.82 / 61.15 ± 3.96 |
12.7.0 |
12.7.0 |
12.7.0 |
| gpt-3.5-turbo-0613 (few-shot, val) |
unknown |
100 |
4095 |
True |
921 ± 293 / 113 ± 37 |
2.53 |
69.59 ± 4.54 / 54.49 ± 4.31 |
7.28 ± 4.10 / 52.96 ± 2.00 |
28.50 ± 1.79 / 50.29 ± 1.79 |
0.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) |
8030 |
128 |
8192 |
True |
4,909 ± 1,215 / 978 ± 319 |
2.53 |
61.69 ± 2.17 / 41.25 ± 3.12 |
6.10 ± 1.61 / 48.74 ± 3.05 |
31.52 ± 2.08 / 58.96 ± 1.57 |
12.6.1 |
12.6.1 |
12.6.1 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) |
10732 |
32 |
4096 |
True |
3,780 ± 906 / 799 ± 261 |
2.53 |
62.08 ± 2.27 / 51.09 ± 4.15 |
7.58 ± 1.03 / 44.38 ± 3.90 |
29.66 ± 3.02 / 56.60 ± 2.22 |
12.5.3 |
12.5.3 |
12.5.3 |
| 152334H/miqu-1-70b-sf (few-shot, val) |
68977 |
32 |
32889 |
True |
2,126 ± 676 / 319 ± 104 |
2.62 |
61.13 ± 3.80 / 50.79 ± 5.92 |
7.75 ± 5.66 / 46.83 ± 4.00 |
27.27 ± 4.08 / 60.91 ± 1.98 |
12.7.0 |
12.7.0 |
12.7.0 |
| meta-llama/Meta-Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,687 ± 1,121 / 967 ± 313 |
2.69 |
48.70 ± 3.02 / 34.52 ± 2.66 |
7.49 ± 2.51 / 43.40 ± 4.41 |
29.56 ± 5.47 / 55.53 ± 5.79 |
12.6.1 |
12.6.1 |
12.6.1 |
| pere/roberta-base-exp-32 |
277 |
250 |
512 |
True |
15,081 ± 2,950 / 3,365 ± 1,092 |
2.73 |
83.57 ± 0.96 / 83.52 ± 0.76 |
23.07 ± 13.28 / 57.26 ± 6.91 |
7.81 ± 1.01 / 34.12 ± 1.47 |
0.0.0 |
0.0.0 |
0.0.0 |
| pere/roberta-base-exp-32B |
277 |
250 |
512 |
True |
15,103 ± 2,982 / 3,357 ± 1,081 |
2.75 |
80.78 ± 1.03 / 82.22 ± 0.67 |
25.20 ± 11.63 / 58.89 ± 6.06 |
8.46 ± 0.80 / 32.56 ± 0.94 |
0.0.0 |
0.0.0 |
0.0.0 |
| intfloat/multilingual-e5-large |
559 |
250 |
512 |
True |
6,732 ± 1,273 / 1,633 ± 523 |
2.85 |
78.43 ± 1.53 / 79.30 ± 1.03 |
10.78 ± 7.04 / 53.28 ± 3.97 |
13.79 ± 0.96 / 54.20 ± 1.31 |
0.0.0 |
0.0.0 |
0.0.0 |
| intfloat/multilingual-e5-base |
278 |
250 |
512 |
True |
14,965 ± 2,890 / 3,322 ± 1,074 |
2.86 |
75.46 ± 1.42 / 77.52 ± 0.88 |
15.21 ± 8.62 / 54.40 ± 5.57 |
10.82 ± 0.92 / 43.65 ± 2.51 |
12.6.1 |
12.6.1 |
12.6.1 |
| cardiffnlp/twitter-xlm-roberta-base |
277 |
250 |
512 |
True |
34,475 ± 7,465 / 6,712 ± 2,223 |
2.87 |
72.69 ± 0.79 / 73.57 ± 1.02 |
28.72 ± 5.29 / 60.29 ± 3.57 |
8.46 ± 0.51 / 31.01 ± 0.72 |
0.0.0 |
0.0.0 |
0.0.0 |
| Nexusflow/Starling-LM-7B-beta (few-shot) |
7242 |
32 |
8192 |
False |
5,876 ± 1,021 / 1,677 ± 546 |
2.93 |
49.20 ± 2.64 / 40.79 ± 4.46 |
4.45 ± 1.40 / 51.11 ± 0.87 |
24.61 ± 3.36 / 54.99 ± 2.36 |
12.5.2 |
12.5.2 |
12.5.2 |
| senseable/WestLake-7B-v2 (few-shot) |
7242 |
32 |
32768 |
False |
5,993 ± 1,028 / 1,742 ± 561 |
2.96 |
56.71 ± 1.98 / 46.71 ± 5.28 |
3.44 ± 2.02 / 50.18 ± 1.14 |
21.55 ± 2.79 / 54.79 ± 2.02 |
12.6.1 |
12.6.1 |
12.6.1 |
| AI-Sweden-Models/roberta-large-1350k |
354 |
50 |
512 |
True |
5,744 ± 969 / 1,539 ± 492 |
2.98 |
73.92 ± 1.40 / 75.86 ± 1.21 |
11.77 ± 5.19 / 43.60 ± 7.11 |
11.84 ± 1.07 / 48.30 ± 1.02 |
10.0.1 |
10.0.1 |
10.0.1 |
| mhenrichsen/hestenettetLM (few-shot) |
7242 |
32 |
32768 |
True |
5,160 ± 804 / 1,654 ± 516 |
2.98 |
50.82 ± 2.72 / 40.35 ± 4.51 |
0.99 ± 1.54 / 39.38 ± 3.81 |
25.74 ± 5.44 / 49.45 ± 5.29 |
12.5.2 |
12.3.2 |
12.3.2 |
| mistralai/Mistral-7B-v0.1 (few-shot) |
7242 |
32 |
32768 |
True |
2,657 ± 524 / 880 ± 278 |
2.98 |
47.24 ± 2.54 / 37.77 ± 3.87 |
1.35 ± 1.70 / 39.37 ± 3.87 |
25.70 ± 5.36 / 49.31 ± 5.21 |
9.1.2 |
9.1.2 |
12.5.1 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) |
20918 |
64 |
2048 |
True |
1,875 ± 673 / 261 ± 91 |
3.08 |
27.54 ± 3.01 / 23.54 ± 2.16 |
4.61 ± 1.64 / 41.57 ± 3.41 |
28.12 ± 3.77 / 54.61 ± 3.42 |
9.3.1 |
9.3.1 |
9.3.1 |
| AI-Sweden-Models/tyr (few-shot, val) |
7242 |
32 |
32768 |
False |
6,079 ± 1,051 / 1,760 ± 570 |
3.08 |
50.64 ± 5.79 / 43.64 ± 5.92 |
-0.06 ± 3.83 / 38.01 ± 2.85 |
23.36 ± 4.19 / 46.70 ± 2.79 |
12.3.2 |
12.3.2 |
12.3.2 |
| clips/mfaq |
277 |
250 |
512 |
True |
5,591 ± 187 / 3,349 ± 1,105 |
3.08 |
77.30 ± 1.23 / 78.59 ± 0.96 |
3.51 ± 2.33 / 47.05 ± 3.38 |
11.31 ± 0.85 / 43.26 ± 1.64 |
12.7.0 |
12.7.0 |
12.7.0 |
| microsoft/xlm-align-base |
277 |
250 |
512 |
True |
14,744 ± 2,870 / 3,265 ± 1,053 |
3.08 |
78.01 ± 2.18 / 79.20 ± 2.10 |
5.92 ± 1.91 / 46.95 ± 3.38 |
10.47 ± 1.42 / 43.32 ± 3.55 |
0.0.0 |
0.0.0 |
0.0.0 |
| alpindale/Mistral-7B-v0.2-hf (few-shot) |
7242 |
32 |
32768 |
True |
1,841 ± 297 / 651 ± 193 |
3.09 |
44.85 ± 3.44 / 36.23 ± 4.15 |
-0.69 ± 2.06 / 35.01 ± 1.14 |
25.52 ± 5.27 / 49.12 ± 5.22 |
12.5.2 |
12.5.2 |
12.5.2 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) |
7242 |
32 |
32768 |
False |
5,822 ± 1,283 / 1,336 ± 430 |
3.11 |
44.84 ± 2.18 / 35.67 ± 3.27 |
0.44 ± 0.57 / 33.88 ± 0.32 |
22.77 ± 3.45 / 47.44 ± 2.15 |
12.7.0 |
12.7.0 |
12.7.0 |
| meta-llama/Llama-2-70b-chat-hf (few-shot, val) |
68977 |
32 |
4221 |
True |
1,979 ± 621 / 320 ± 105 |
3.11 |
46.32 ± 5.10 / 35.77 ± 3.59 |
-3.31 ± 3.91 / 38.63 ± 2.52 |
24.26 ± 4.64 / 55.26 ± 2.41 |
12.7.0 |
12.7.0 |
12.7.0 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
2,538 ± 415 / 821 ± 253 |
3.11 |
43.11 ± 2.23 / 29.34 ± 3.27 |
3.40 ± 1.87 / 48.75 ± 1.47 |
19.18 ± 3.69 / 49.62 ± 2.59 |
9.2.0 |
9.3.1 |
12.4.0 |
| Geotrend/bert-base-da-cased |
103 |
23 |
512 |
True |
15,432 ± 2,838 / 3,642 ± 1,189 |
3.14 |
73.81 ± 0.85 / 75.02 ± 0.89 |
6.23 ± 2.63 / 45.40 ± 3.87 |
10.57 ± 1.12 / 42.39 ± 1.52 |
0.0.0 |
0.0.0 |
0.0.0 |
| mlabonne/AlphaMonarch-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
5,340 ± 1,262 / 1,157 ± 375 |
3.15 |
50.85 ± 4.15 / 42.91 ± 5.02 |
1.80 ± 3.84 / 49.12 ± 2.51 |
20.23 ± 3.73 / 52.99 ± 2.11 |
12.5.2 |
12.5.2 |
12.5.2 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
2,549 ± 472 / 784 ± 245 |
3.15 |
49.86 ± 4.28 / 42.54 ± 5.03 |
1.26 ± 3.83 / 48.46 ± 2.37 |
22.48 ± 4.43 / 55.51 ± 2.89 |
9.3.2 |
9.3.2 |
12.5.2 |
| Geotrend/bert-base-25lang-cased |
151 |
85 |
512 |
True |
13,908 ± 3,201 / 2,700 ± 872 |
3.18 |
74.65 ± 1.65 / 75.83 ± 1.41 |
2.89 ± 3.00 / 44.63 ± 4.01 |
9.29 ± 0.66 / 41.76 ± 1.89 |
0.0.0 |
0.0.0 |
0.0.0 |
| Twitter/twhin-bert-base |
279 |
250 |
512 |
True |
11,514 ± 2,041 / 2,862 ± 918 |
3.19 |
70.38 ± 1.44 / 72.00 ± 1.13 |
11.09 ± 6.94 / 51.60 ± 5.19 |
7.67 ± 0.74 / 30.52 ± 0.52 |
12.6.1 |
12.6.1 |
12.6.1 |
| AI-Sweden-Models/roberta-large-1160k |
354 |
50 |
512 |
True |
5,741 ± 987 / 1,554 ± 494 |
3.22 |
74.30 ± 2.15 / 76.10 ± 2.10 |
2.06 ± 2.43 / 37.04 ± 4.14 |
11.47 ± 0.96 / 48.11 ± 0.94 |
10.0.1 |
10.0.1 |
10.0.1 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) |
7242 |
32 |
32768 |
True |
5,054 ± 1,200 / 1,056 ± 339 |
3.22 |
36.47 ± 4.24 / 30.33 ± 3.70 |
2.54 ± 1.29 / 50.66 ± 0.62 |
18.66 ± 4.26 / 38.73 ± 3.66 |
12.5.3 |
12.5.3 |
12.5.3 |
| google-bert/bert-base-multilingual-uncased |
167 |
106 |
512 |
True |
13,993 ± 3,217 / 2,752 ± 893 |
3.23 |
60.88 ± 1.42 / 59.11 ± 1.19 |
13.50 ± 7.64 / 52.75 ± 5.19 |
9.65 ± 0.34 / 42.51 ± 1.87 |
0.0.0 |
0.0.0 |
0.0.0 |
| mideind/IceBERT-mC4-is |
163 |
50 |
512 |
True |
12,308 ± 1,614 / 3,851 ± 1,254 |
3.24 |
79.19 ± 0.96 / 80.35 ± 0.69 |
20.95 ± 5.57 / 50.96 ± 5.04 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
0.0.0 |
| microsoft/infoxlm-base |
277 |
250 |
512 |
True |
34,735 ± 7,558 / 6,846 ± 2,312 |
3.26 |
77.09 ± 2.00 / 78.38 ± 1.60 |
1.71 ± 3.02 / 42.83 ± 4.18 |
8.56 ± 1.96 / 37.41 ± 5.69 |
0.0.0 |
0.0.0 |
0.0.0 |
| occiglot/occiglot-7b-eu5-instruct (few-shot) |
7242 |
32 |
32768 |
False |
2,088 ± 352 / 706 ± 214 |
3.26 |
40.71 ± 2.93 / 34.57 ± 4.02 |
0.71 ± 2.00 / 36.90 ± 2.10 |
20.66 ± 3.67 / 45.91 ± 3.45 |
12.5.2 |
12.3.1 |
12.4.0 |
| ZurichNLP/unsup-simcse-xlm-roberta-base |
277 |
250 |
512 |
True |
34,520 ± 7,443 / 6,730 ± 2,224 |
3.27 |
75.27 ± 1.18 / 76.85 ± 0.94 |
3.47 ± 1.14 / 47.14 ± 3.33 |
7.67 ± 0.80 / 32.31 ± 0.81 |
12.6.1 |
12.6.1 |
12.6.1 |
| RuterNorway/Llama-2-13b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
3,254 ± 1,068 / 484 ± 173 |
3.30 |
28.35 ± 2.89 / 26.44 ± 2.75 |
3.14 ± 1.74 / 44.57 ± 3.85 |
19.80 ± 2.66 / 43.44 ± 1.74 |
9.3.1 |
9.3.1 |
9.3.1 |
| KennethEnevoldsen/dfm-sentence-encoder-medium |
124 |
50 |
512 |
True |
14,998 ± 2,549 / 3,833 ± 1,223 |
3.31 |
64.88 ± 1.32 / 67.55 ± 1.07 |
-0.60 ± 0.90 / 40.52 ± 3.55 |
12.39 ± 1.75 / 29.86 ± 2.90 |
0.0.0 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-roberta-base-scandinavian |
125 |
50 |
512 |
True |
14,051 ± 3,289 / 2,704 ± 897 |
3.33 |
69.04 ± 1.65 / 71.18 ± 1.15 |
3.34 ± 1.87 / 44.43 ± 4.20 |
7.17 ± 0.77 / 30.71 ± 1.15 |
0.0.0 |
0.0.0 |
0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-medium-2 |
124 |
50 |
512 |
True |
14,965 ± 2,550 / 3,798 ± 1,216 |
3.37 |
64.57 ± 1.62 / 67.12 ± 1.47 |
0.86 ± 1.11 / 43.33 ± 2.97 |
10.76 ± 1.00 / 27.29 ± 2.41 |
0.0.0 |
0.0.0 |
0.0.0 |
| HPLT/gpt-7b-nordic-prerelease (few-shot) |
7550 |
131 |
4096 |
True |
5,404 ± 931 / 1,638 ± 542 |
3.38 |
27.96 ± 3.08 / 25.78 ± 3.20 |
-0.00 ± 1.28 / 35.53 ± 1.87 |
23.17 ± 2.78 / 44.72 ± 2.82 |
12.5.2 |
12.3.2 |
12.3.2 |
| Twitter/twhin-bert-large |
560 |
250 |
512 |
True |
9,707 ± 1,664 / 2,549 ± 831 |
3.39 |
71.48 ± 1.97 / 73.71 ± 1.37 |
2.20 ± 2.00 / 43.42 ± 4.87 |
8.19 ± 0.76 / 33.02 ± 1.85 |
0.0.0 |
0.0.0 |
0.0.0 |
| vesteinn/DanskBERT |
124 |
50 |
512 |
True |
15,749 ± 2,665 / 4,014 ± 1,281 |
3.39 |
65.29 ± 1.46 / 60.81 ± 1.38 |
-0.03 ± 1.72 / 42.37 ± 4.10 |
10.49 ± 2.71 / 26.84 ± 3.93 |
0.0.0 |
0.0.0 |
0.0.0 |
| KBLab/megatron-bert-large-swedish-cased-165k |
369 |
64 |
512 |
True |
7,138 ± 1,111 / 2,067 ± 660 |
3.41 |
63.35 ± 1.41 / 66.01 ± 1.32 |
4.94 ± 2.20 / 46.79 ± 2.19 |
7.02 ± 0.72 / 34.05 ± 1.35 |
0.0.0 |
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 |
3.41 |
65.15 ± 1.02 / 67.50 ± 0.90 |
1.15 ± 1.57 / 49.60 ± 0.88 |
9.56 ± 0.42 / 27.88 ± 0.44 |
12.6.1 |
12.6.1 |
12.6.1 |
| AI-Nordics/bert-large-swedish-cased |
334 |
31 |
512 |
True |
7,199 ± 1,139 / 2,051 ± 651 |
3.43 |
61.64 ± 1.20 / 63.94 ± 1.20 |
3.26 ± 2.26 / 48.60 ± 1.54 |
7.79 ± 0.49 / 35.42 ± 0.60 |
12.7.0 |
12.7.0 |
12.7.0 |
| AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) |
20918 |
64 |
2048 |
True |
1,831 ± 587 / 268 ± 90 |
3.43 |
21.20 ± 1.45 / 19.22 ± 1.47 |
1.95 ± 1.01 / 35.16 ± 0.86 |
24.95 ± 3.00 / 53.88 ± 1.93 |
9.3.1 |
9.3.1 |
9.3.1 |
| KBLab/megatron-bert-large-swedish-cased-110k |
369 |
64 |
512 |
True |
7,075 ± 1,093 / 2,057 ± 661 |
3.43 |
63.11 ± 1.31 / 65.36 ± 1.28 |
3.47 ± 1.38 / 48.04 ± 2.34 |
7.76 ± 0.57 / 36.28 ± 1.35 |
0.0.0 |
0.0.0 |
0.0.0 |
| occiglot/occiglot-7b-eu5 (few-shot) |
7242 |
32 |
32768 |
True |
2,219 ± 427 / 717 ± 224 |
3.43 |
40.08 ± 2.82 / 37.15 ± 4.07 |
1.59 ± 1.86 / 39.93 ± 4.19 |
15.98 ± 3.74 / 39.67 ± 3.36 |
12.5.2 |
12.1.0 |
12.1.0 |
| KBLab/megatron-bert-base-swedish-cased-600k |
135 |
64 |
512 |
True |
15,726 ± 2,508 / 4,234 ± 1,365 |
3.44 |
63.43 ± 1.03 / 65.68 ± 0.99 |
2.56 ± 2.70 / 48.75 ± 2.46 |
7.00 ± 0.68 / 33.28 ± 1.36 |
12.7.0 |
12.7.0 |
12.7.0 |
| sentence-transformers/stsb-xlm-r-multilingual |
277 |
250 |
512 |
True |
15,040 ± 2,953 / 3,417 ± 1,100 |
3.45 |
66.23 ± 1.24 / 67.76 ± 1.08 |
0.04 ± 0.78 / 45.96 ± 2.83 |
10.04 ± 0.99 / 28.66 ± 0.92 |
0.0.0 |
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 |
3.46 |
62.52 ± 0.91 / 65.01 ± 0.92 |
3.07 ± 2.59 / 49.75 ± 1.88 |
6.66 ± 0.62 / 31.00 ± 0.71 |
12.7.0 |
12.7.0 |
12.7.0 |
| flax-community/nordic-roberta-wiki |
124 |
50 |
512 |
True |
16,227 ± 2,650 / 4,252 ± 1,393 |
3.47 |
63.31 ± 1.41 / 65.79 ± 1.41 |
2.47 ± 1.56 / 49.04 ± 2.54 |
5.99 ± 0.66 / 25.32 ± 0.78 |
0.0.0 |
0.0.0 |
0.0.0 |
| LumiOpen/Viking-7B (few-shot) |
7550 |
131 |
4096 |
True |
5,723 ± 1,025 / 1,670 ± 559 |
3.48 |
21.41 ± 5.01 / 19.94 ± 5.01 |
1.76 ± 1.62 / 42.86 ± 2.68 |
22.54 ± 1.74 / 44.93 ± 1.92 |
12.7.0 |
12.7.0 |
12.7.0 |
| DeepPavlov/rubert-base-cased |
177 |
120 |
512 |
True |
15,785 ± 2,658 / 3,983 ± 1,289 |
3.49 |
61.95 ± 1.77 / 57.52 ± 1.81 |
2.40 ± 1.34 / 43.49 ± 3.76 |
6.04 ± 0.56 / 29.39 ± 0.76 |
0.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) |
6738 |
32 |
4096 |
False |
2,643 ± 455 / 800 ± 247 |
3.49 |
41.10 ± 3.35 / 40.54 ± 3.19 |
-1.07 ± 2.09 / 44.83 ± 2.20 |
16.13 ± 2.52 / 39.51 ± 1.98 |
9.3.1 |
9.3.1 |
12.4.0 |
| meta-llama/Llama-2-7b-hf (few-shot) |
6738 |
32 |
4096 |
True |
930 ± 310 / 128 ± 43 |
3.50 |
32.71 ± 2.77 / 32.17 ± 2.13 |
0.66 ± 1.75 / 40.36 ± 4.19 |
18.04 ± 4.05 / 41.40 ± 3.27 |
9.2.0 |
9.2.0 |
12.5.1 |
| Geotrend/distilbert-base-25lang-cased |
109 |
85 |
512 |
True |
26,099 ± 5,881 / 5,178 ± 1,665 |
3.52 |
65.76 ± 0.98 / 68.15 ± 0.89 |
2.08 ± 1.89 / 48.68 ± 2.96 |
6.81 ± 0.33 / 30.96 ± 0.65 |
12.6.1 |
12.6.1 |
12.6.1 |
| LumiOpen/Viking-13B (few-shot) |
14030 |
131 |
4224 |
True |
3,480 ± 727 / 822 ± 274 |
3.53 |
20.51 ± 3.13 / 20.32 ± 2.89 |
1.12 ± 1.87 / 46.10 ± 3.55 |
21.85 ± 3.13 / 45.40 ± 2.16 |
12.5.2 |
12.5.2 |
12.5.2 |
| 3ebdola/Dialectal-Arabic-XLM-R-Base |
277 |
250 |
512 |
True |
12,783 ± 2,537 / 2,712 ± 885 |
3.54 |
46.95 ± 2.05 / 50.04 ± 1.99 |
1.40 ± 1.40 / 48.02 ± 2.05 |
10.48 ± 1.75 / 28.80 ± 1.59 |
12.6.1 |
12.6.1 |
12.6.1 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) |
6738 |
32 |
4096 |
False |
5,384 ± 879 / 1,746 ± 553 |
3.54 |
34.62 ± 4.64 / 33.25 ± 4.37 |
-0.24 ± 1.43 / 33.75 ± 0.31 |
18.10 ± 1.85 / 43.52 ± 0.87 |
12.5.2 |
12.3.2 |
12.3.2 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) |
7242 |
32 |
32768 |
False |
5,443 ± 1,273 / 1,144 ± 364 |
3.54 |
36.04 ± 2.59 / 24.74 ± 2.79 |
-0.36 ± 1.36 / 33.94 ± 0.32 |
18.06 ± 3.16 / 42.57 ± 2.89 |
9.3.1 |
9.3.1 |
12.4.0 |
| sentence-transformers/quora-distilbert-multilingual |
135 |
120 |
512 |
True |
26,458 ± 5,992 / 5,274 ± 1,731 |
3.55 |
63.36 ± 0.96 / 65.24 ± 0.77 |
1.02 ± 0.94 / 47.05 ± 2.13 |
6.48 ± 0.37 / 27.44 ± 0.44 |
0.0.0 |
0.0.0 |
0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-large-1 |
354 |
50 |
512 |
True |
6,245 ± 1,260 / 1,416 ± 453 |
3.56 |
48.31 ± 1.22 / 47.65 ± 1.19 |
3.18 ± 1.21 / 46.35 ± 3.68 |
7.94 ± 0.81 / 36.61 ± 1.41 |
0.0.0 |
0.0.0 |
0.0.0 |
| KBLab/bert-base-swedish-cased-new |
135 |
64 |
512 |
True |
15,933 ± 2,541 / 4,289 ± 1,376 |
3.58 |
64.61 ± 1.04 / 67.19 ± 0.98 |
1.15 ± 1.59 / 45.33 ± 3.42 |
5.29 ± 0.80 / 26.53 ± 1.40 |
12.7.0 |
12.7.0 |
12.7.0 |
| FacebookAI/roberta-base |
124 |
50 |
512 |
True |
13,354 ± 3,334 / 2,451 ± 777 |
3.59 |
60.18 ± 3.20 / 55.70 ± 3.19 |
1.07 ± 1.62 / 42.87 ± 4.48 |
6.66 ± 0.67 / 32.13 ± 1.93 |
0.0.0 |
0.0.0 |
0.0.0 |
| norallm/normistral-7b-warm-instruct (few-shot) |
7248 |
33 |
4096 |
True |
6,194 ± 949 / 1,967 ± 619 |
3.59 |
36.59 ± 3.56 / 27.50 ± 2.53 |
0.86 ± 2.41 / 36.44 ± 1.27 |
14.58 ± 2.13 / 37.44 ± 1.86 |
12.7.0 |
12.7.0 |
12.7.0 |
| patrickvonplaten/norwegian-roberta-base |
124 |
50 |
512 |
True |
15,698 ± 2,699 / 3,891 ± 1,278 |
3.59 |
60.79 ± 1.66 / 56.41 ± 1.53 |
1.29 ± 1.37 / 44.71 ± 3.00 |
6.64 ± 0.72 / 26.52 ± 0.97 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) |
7111 |
64 |
2048 |
True |
2,383 ± 451 / 718 ± 221 |
3.60 |
19.39 ± 1.31 / 19.04 ± 1.36 |
0.01 ± 1.49 / 34.61 ± 0.73 |
20.92 ± 3.41 / 51.75 ± 2.10 |
12.7.0 |
12.7.0 |
12.4.0 |
| flax-community/swe-roberta-wiki-oscar |
124 |
50 |
512 |
True |
15,437 ± 2,628 / 3,834 ± 1,252 |
3.60 |
62.23 ± 1.24 / 64.45 ± 1.23 |
1.45 ± 1.74 / 48.21 ± 1.91 |
5.52 ± 0.55 / 26.85 ± 1.03 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/distilbert-base-en-no-cased |
69 |
33 |
512 |
True |
26,597 ± 6,036 / 5,271 ± 1,697 |
3.61 |
63.84 ± 1.42 / 66.44 ± 1.31 |
2.15 ± 1.73 / 50.19 ± 1.04 |
5.23 ± 0.36 / 28.73 ± 0.75 |
12.7.0 |
12.7.0 |
12.7.0 |
| danish-foundation-models/encoder-large-v1 |
354 |
50 |
512 |
True |
6,671 ± 1,380 / 1,497 ± 482 |
3.61 |
49.68 ± 2.20 / 48.34 ± 1.96 |
0.33 ± 1.39 / 47.30 ± 2.09 |
9.30 ± 0.95 / 36.88 ± 0.75 |
0.0.0 |
0.0.0 |
0.0.0 |
| sentence-transformers/paraphrase-multilingual-mpnet-base-v2 |
278 |
250 |
512 |
True |
15,100 ± 3,019 / 3,369 ± 1,103 |
3.61 |
64.43 ± 1.61 / 66.43 ± 1.37 |
0.83 ± 1.97 / 48.18 ± 2.18 |
4.66 ± 0.45 / 28.89 ± 0.43 |
12.7.0 |
12.7.0 |
12.7.0 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking |
135 |
120 |
512 |
True |
33,753 ± 8,349 / 5,937 ± 1,946 |
3.62 |
59.15 ± 1.28 / 61.27 ± 1.27 |
0.80 ± 1.69 / 45.59 ± 3.23 |
6.14 ± 0.74 / 28.02 ± 0.58 |
12.6.1 |
12.6.1 |
12.6.1 |
| DDSC/roberta-base-danish |
125 |
50 |
512 |
True |
15,004 ± 2,964 / 3,290 ± 1,092 |
3.63 |
59.63 ± 1.40 / 61.65 ± 1.33 |
1.76 ± 1.23 / 49.36 ± 1.58 |
5.55 ± 0.70 / 27.22 ± 1.06 |
0.0.0 |
0.0.0 |
0.0.0 |
| KB/bert-base-swedish-cased |
124 |
50 |
512 |
True |
16,181 ± 2,451 / 4,620 ± 1,507 |
3.63 |
60.09 ± 1.69 / 55.62 ± 1.60 |
1.76 ± 1.61 / 44.34 ± 3.01 |
5.57 ± 0.78 / 28.89 ± 1.29 |
0.0.0 |
0.0.0 |
0.0.0 |
| dbmdz/bert-medium-historic-multilingual-cased |
42 |
32 |
512 |
True |
24,291 ± 4,887 / 5,096 ± 1,655 |
3.65 |
58.90 ± 1.06 / 62.01 ± 0.98 |
0.27 ± 1.53 / 43.40 ± 3.00 |
5.90 ± 0.57 / 27.22 ± 1.18 |
0.0.0 |
0.0.0 |
0.0.0 |
| ltg/norbert3-base |
124 |
50 |
512 |
True |
11,405 ± 1,970 / 2,856 ± 917 |
3.65 |
68.22 ± 1.28 / 70.95 ± 1.02 |
2.41 ± 1.87 / 45.21 ± 3.51 |
0.00 ± 0.00 / 0.00 ± 0.00 |
12.7.0 |
12.7.0 |
0.0.0 |
| tollefj/nordavind-7b-instruct-warm (few-shot) |
7248 |
33 |
2048 |
False |
6,450 ± 961 / 2,082 ± 658 |
3.66 |
34.76 ± 4.42 / 23.42 ± 2.33 |
0.77 ± 1.05 / 39.63 ± 2.41 |
12.80 ± 2.37 / 30.77 ± 2.12 |
12.5.2 |
12.3.2 |
12.4.0 |
| AI-Sweden-Models/gpt-sw3-1.3b (few-shot) |
1445 |
64 |
2048 |
True |
4,608 ± 988 / 1,115 ± 354 |
3.68 |
1.42 ± 1.60 / 3.11 ± 1.85 |
0.75 ± 0.73 / 45.87 ± 2.20 |
23.33 ± 2.22 / 45.28 ± 1.58 |
12.7.0 |
12.7.0 |
12.7.0 |
| pdelobelle/robbert-v2-dutch-base |
116 |
40 |
512 |
True |
15,481 ± 2,820 / 3,708 ± 1,186 |
3.68 |
55.54 ± 2.48 / 51.36 ± 2.29 |
1.06 ± 1.29 / 43.27 ± 3.33 |
5.42 ± 0.52 / 26.08 ± 0.59 |
0.0.0 |
0.0.0 |
0.0.0 |
| deepset/gbert-base |
109 |
31 |
512 |
True |
37,268 ± 6,577 / 8,719 ± 2,865 |
3.69 |
56.89 ± 1.71 / 52.39 ± 1.71 |
-0.13 ± 1.55 / 45.48 ± 2.51 |
6.69 ± 0.63 / 32.15 ± 1.11 |
0.0.0 |
0.0.0 |
0.0.0 |
| sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 |
118 |
250 |
512 |
True |
29,201 ± 6,282 / 6,045 ± 2,027 |
3.69 |
62.44 ± 1.07 / 64.98 ± 0.92 |
1.91 ± 1.14 / 46.54 ± 2.46 |
3.69 ± 0.48 / 27.48 ± 0.49 |
0.0.0 |
0.0.0 |
0.0.0 |
| DDSC/roberta-base-scandinavian |
124 |
50 |
512 |
True |
14,491 ± 2,800 / 3,182 ± 1,026 |
3.71 |
51.53 ± 10.96 / 53.86 ± 11.50 |
0.89 ± 1.79 / 47.82 ± 2.03 |
5.19 ± 0.47 / 27.71 ± 0.76 |
0.0.0 |
0.0.0 |
0.0.0 |
| KBLab/bert-base-swedish-cased |
125 |
50 |
512 |
True |
16,164 ± 2,392 / 4,574 ± 1,478 |
3.71 |
55.25 ± 1.05 / 56.58 ± 1.22 |
2.19 ± 1.72 / 49.66 ± 1.83 |
5.14 ± 0.73 / 25.93 ± 0.80 |
12.7.0 |
12.7.0 |
12.7.0 |
| Qwen/Qwen1.5-4B-Chat (few-shot) |
3950 |
152 |
32768 |
False |
4,347 ± 893 / 1,135 ± 365 |
3.74 |
25.65 ± 2.99 / 22.30 ± 2.30 |
-0.35 ± 2.01 / 44.36 ± 4.13 |
14.46 ± 2.66 / 32.31 ± 1.66 |
12.5.2 |
12.1.0 |
12.5.2 |
| dbmdz/bert-base-historic-multilingual-cased |
111 |
32 |
512 |
True |
20,047 ± 4,407 / 3,844 ± 1,259 |
3.74 |
56.62 ± 0.57 / 59.34 ± 0.66 |
-1.21 ± 1.45 / 47.43 ± 1.67 |
6.01 ± 0.45 / 29.08 ± 1.30 |
12.6.1 |
12.6.1 |
12.6.1 |
| KBLab/albert-base-swedish-cased-alpha |
14 |
50 |
512 |
True |
15,925 ± 2,281 / 4,780 ± 1,554 |
3.81 |
42.07 ± 2.27 / 43.57 ± 2.15 |
0.27 ± 2.04 / 48.20 ± 1.32 |
7.35 ± 0.66 / 20.44 ± 1.46 |
0.0.0 |
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 |
3.81 |
48.62 ± 2.65 / 51.75 ± 2.37 |
2.64 ± 2.11 / 49.47 ± 1.79 |
1.22 ± 0.49 / 12.16 ± 3.00 |
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 |
3.81 |
47.62 ± 2.97 / 50.59 ± 2.81 |
2.64 ± 2.11 / 49.47 ± 1.79 |
1.27 ± 0.46 / 12.20 ± 2.90 |
12.6.1 |
12.6.1 |
12.6.1 |
| google/gemma-2b (few-shot) |
2506 |
256 |
8192 |
True |
6,087 ± 1,046 / 1,902 ± 563 |
3.84 |
8.83 ± 5.85 / 9.93 ± 4.70 |
0.31 ± 1.95 / 45.42 ± 3.51 |
16.08 ± 2.91 / 37.41 ± 2.44 |
12.5.2 |
12.1.0 |
12.1.0 |
| AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) |
471 |
64 |
2048 |
True |
5,855 ± 1,373 / 1,223 ± 391 |
3.87 |
17.79 ± 1.18 / 18.12 ± 1.18 |
0.08 ± 0.15 / 33.73 ± 0.26 |
15.04 ± 2.53 / 34.77 ± 1.72 |
12.7.0 |
12.7.0 |
12.7.0 |
| Qwen/Qwen1.5-4B (few-shot) |
3950 |
152 |
32768 |
True |
3,248 ± 739 / 761 ± 252 |
3.87 |
15.66 ± 5.89 / 15.78 ± 3.95 |
-0.55 ± 1.06 / 39.57 ± 3.61 |
14.11 ± 3.08 / 34.56 ± 2.38 |
12.5.2 |
12.1.0 |
12.1.0 |
| dbmdz/bert-tiny-historic-multilingual-cased |
5 |
32 |
512 |
True |
78,027 ± 15,466 / 17,064 ± 5,335 |
3.87 |
43.93 ± 1.57 / 46.59 ± 1.50 |
0.04 ± 1.75 / 47.53 ± 1.60 |
6.13 ± 0.63 / 21.73 ± 0.95 |
12.6.1 |
12.6.1 |
12.6.1 |
| EuropeanParliament/EUBERT |
94 |
66 |
512 |
True |
20,070 ± 3,977 / 4,400 ± 1,435 |
3.88 |
29.71 ± 1.94 / 28.69 ± 1.97 |
2.71 ± 1.10 / 49.68 ± 1.24 |
6.50 ± 0.42 / 27.51 ± 0.99 |
12.6.1 |
12.6.1 |
12.6.1 |
| timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) |
7242 |
32 |
32768 |
False |
5,172 ± 813 / 1,647 ± 518 |
3.94 |
24.98 ± 5.71 / 25.35 ± 4.78 |
1.18 ± 1.09 / 39.01 ± 2.76 |
8.52 ± 2.30 / 21.32 ± 2.25 |
12.5.2 |
12.3.2 |
12.3.2 |
| 01-ai/Yi-6B (few-shot) |
6061 |
64 |
4096 |
True |
2,786 ± 532 / 784 ± 250 |
3.97 |
0.00 ± 0.00 / 0.00 ± 0.00 |
2.12 ± 1.40 / 38.45 ± 2.47 |
16.91 ± 2.57 / 40.63 ± 2.83 |
9.3.2 |
10.0.0 |
12.5.1 |
| TurkuNLP/bert-base-finnish-cased-v1 |
124 |
50 |
512 |
True |
16,701 ± 2,104 / 5,450 ± 1,778 |
3.97 |
34.58 ± 2.44 / 32.10 ± 2.20 |
0.55 ± 1.58 / 46.24 ± 3.27 |
5.07 ± 0.53 / 24.32 ± 2.07 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/gemma-2b-it (few-shot) |
2506 |
256 |
8192 |
False |
6,471 ± 1,142 / 1,961 ± 584 |
3.97 |
20.49 ± 2.30 / 18.33 ± 1.40 |
-0.01 ± 2.13 / 46.02 ± 2.71 |
10.95 ± 2.39 / 37.64 ± 0.75 |
12.5.2 |
12.1.0 |
12.4.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 |
135 |
120 |
512 |
True |
34,042 ± 8,482 / 5,951 ± 1,950 |
3.99 |
45.47 ± 2.05 / 47.67 ± 2.11 |
1.14 ± 1.81 / 48.47 ± 1.64 |
1.63 ± 0.33 / 21.45 ± 1.39 |
12.6.1 |
12.6.1 |
12.6.1 |
| ltg/norbert2 |
125 |
50 |
512 |
True |
15,523 ± 2,863 / 3,690 ± 1,195 |
4.00 |
28.74 ± 1.77 / 28.47 ± 1.77 |
3.00 ± 0.94 / 47.57 ± 3.24 |
3.47 ± 0.65 / 19.93 ± 2.77 |
0.0.0 |
0.0.0 |
0.0.0 |
| Maltehb/aelaectra-danish-electra-small-cased |
14 |
32 |
512 |
True |
4,593 ± 114 / 3,034 ± 973 |
4.01 |
35.72 ± 8.84 / 37.68 ± 9.61 |
0.55 ± 0.58 / 33.62 ± 0.42 |
4.40 ± 0.52 / 21.85 ± 0.81 |
12.7.0 |
12.7.0 |
12.7.0 |
| sarnikowski/convbert-medium-small-da-cased |
24 |
29 |
512 |
True |
13,821 ± 2,209 / 3,547 ± 1,184 |
4.05 |
28.16 ± 1.78 / 25.72 ± 1.72 |
2.05 ± 1.54 / 47.80 ± 2.45 |
5.37 ± 0.70 / 24.09 ± 1.52 |
0.0.0 |
0.0.0 |
0.0.0 |
| asafaya/bert-base-arabic |
110 |
32 |
512 |
True |
16,347 ± 2,191 / 5,125 ± 1,672 |
4.12 |
22.51 ± 3.32 / 20.42 ± 3.17 |
0.23 ± 1.20 / 43.22 ± 3.41 |
5.05 ± 0.67 / 24.09 ± 1.66 |
0.0.0 |
0.0.0 |
0.0.0 |
| sarnikowski/convbert-small-da-cased |
13 |
29 |
512 |
True |
14,273 ± 2,312 / 3,555 ± 1,187 |
4.12 |
25.49 ± 2.22 / 23.07 ± 2.05 |
1.63 ± 1.91 / 45.09 ± 3.87 |
5.28 ± 0.62 / 22.50 ± 0.83 |
0.0.0 |
0.0.0 |
0.0.0 |
| Maltehb/aelaectra-danish-electra-small-uncased |
14 |
32 |
128 |
True |
5,995 ± 135 / 3,839 ± 1,247 |
4.13 |
30.50 ± 1.95 / 30.08 ± 1.90 |
3.59 ± 1.49 / 46.53 ± 4.34 |
0.06 ± 0.07 / 0.12 ± 0.11 |
0.0.0 |
0.0.0 |
0.0.0 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) |
1837 |
152 |
32768 |
False |
8,304 ± 1,846 / 1,933 ± 617 |
4.15 |
14.15 ± 1.92 / 14.96 ± 2.11 |
0.78 ± 1.70 / 44.74 ± 3.57 |
7.80 ± 1.32 / 23.47 ± 1.64 |
12.5.2 |
12.1.0 |
12.5.0 |
| allenai/OLMo-7B-Twin-2T (few-shot) |
6888 |
50 |
2176 |
True |
5,484 ± 1,125 / 1,317 ± 425 |
4.18 |
9.04 ± 5.36 / 9.25 ± 4.70 |
-0.08 ± 1.02 / 34.02 ± 0.68 |
8.86 ± 2.70 / 27.28 ± 1.45 |
12.5.2 |
12.5.2 |
12.5.2 |
| Qwen/Qwen1.5-1.8B (few-shot) |
1837 |
152 |
32768 |
True |
5,666 ± 1,328 / 1,256 ± 408 |
4.20 |
12.26 ± 4.13 / 12.77 ± 3.60 |
0.94 ± 1.34 / 40.66 ± 3.73 |
6.31 ± 1.01 / 20.24 ± 2.02 |
12.5.2 |
12.1.0 |
12.1.0 |
| danish-foundation-models/encoder-small-v1 |
22 |
96 |
128 |
True |
6,002 ± 129 / 3,832 ± 1,242 |
4.27 |
28.99 ± 12.22 / 28.98 ± 12.46 |
-0.17 ± 1.37 / 38.53 ± 3.43 |
0.42 ± 0.33 / 1.20 ± 1.50 |
0.0.0 |
0.0.0 |
0.0.0 |
| Maltehb/danish-bert-botxo |
110 |
32 |
512 |
True |
16,091 ± 2,427 / 4,575 ± 1,485 |
4.31 |
12.64 ± 2.49 / 11.10 ± 2.21 |
0.06 ± 1.76 / 47.57 ± 1.77 |
4.77 ± 0.39 / 27.98 ± 1.03 |
0.0.0 |
0.0.0 |
0.0.0 |
| Qwen/Qwen1.5-0.5B (few-shot) |
620 |
152 |
32768 |
True |
11,371 ± 2,924 / 2,122 ± 692 |
4.32 |
16.20 ± 1.52 / 16.96 ± 1.71 |
-0.57 ± 1.20 / 41.25 ± 3.51 |
3.31 ± 0.82 / 16.86 ± 2.98 |
12.5.2 |
12.1.0 |
12.1.0 |
| RJuro/kanelsnegl-v0.2 (few-shot) |
7242 |
32 |
512 |
True |
1,373 ± 120 / 709 ± 172 |
4.36 |
23.67 ± 5.16 / 23.19 ± 4.37 |
0.00 ± 0.00 / 33.69 ± 0.28 |
0.00 ± 0.00 / 14.61 ± 2.02 |
12.7.0 |
12.7.0 |
12.7.0 |
| allenai/OLMo-7B (few-shot) |
6888 |
50 |
2176 |
True |
5,403 ± 1,133 / 1,294 ± 423 |
4.36 |
8.84 ± 2.72 / 8.59 ± 2.81 |
-0.38 ± 1.52 / 34.73 ± 1.40 |
5.08 ± 1.06 / 18.85 ± 2.62 |
12.5.2 |
12.5.2 |
12.5.2 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) |
620 |
152 |
32768 |
False |
11,740 ± 3,000 / 2,209 ± 721 |
4.38 |
9.50 ± 3.17 / 9.41 ± 3.40 |
1.76 ± 1.62 / 38.51 ± 3.72 |
3.14 ± 0.71 / 17.84 ± 2.26 |
12.5.2 |
12.1.0 |
12.5.0 |
| alexanderfalk/danbert-small-cased |
83 |
52 |
512 |
True |
30,013 ± 4,309 / 8,840 ± 2,859 |
4.40 |
12.39 ± 2.20 / 11.68 ± 2.17 |
1.63 ± 1.66 / 43.64 ± 4.69 |
1.70 ± 0.45 / 16.29 ± 1.59 |
0.0.0 |
0.0.0 |
0.0.0 |
| fresh-xlm-roberta-base |
277 |
250 |
512 |
True |
2,214 ± 94 / 1,494 ± 229 |
4.42 |
17.34 ± 1.13 / 16.43 ± 1.26 |
-0.06 ± 0.99 / 36.73 ± 3.00 |
1.02 ± 0.30 / 21.61 ± 1.10 |
0.0.0 |
0.0.0 |
0.0.0 |
| allenai/OLMo-1B (few-shot) |
1177 |
50 |
2176 |
True |
8,536 ± 1,926 / 1,940 ± 619 |
4.46 |
13.60 ± 2.38 / 14.36 ± 2.36 |
-1.04 ± 0.90 / 34.46 ± 1.41 |
1.51 ± 0.68 / 13.16 ± 3.12 |
12.5.2 |
12.1.0 |
12.1.0 |
| RuterNorway/Llama-2-7b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
10,890 ± 2,686 / 2,186 ± 750 |
4.49 |
9.48 ± 1.48 / 10.10 ± 1.44 |
0.07 ± 1.06 / 43.54 ± 3.63 |
1.04 ± 0.96 / 7.35 ± 3.52 |
9.3.1 |
9.3.1 |
12.5.2 |
| fresh-electra-small |
13 |
31 |
512 |
True |
7,840 ± 1,538 / 3,024 ± 438 |
4.54 |
9.96 ± 1.11 / 8.96 ± 1.05 |
-0.10 ± 1.46 / 35.81 ± 3.45 |
0.12 ± 0.10 / 4.48 ± 1.39 |
0.0.0 |
0.0.0 |
0.0.0 |
| ltg/norbert |
112 |
33 |
512 |
True |
16,280 ± 2,296 / 4,838 ± 1,583 |
4.62 |
0.00 ± 0.00 / 0.00 ± 0.00 |
-0.03 ± 1.29 / 46.72 ± 2.28 |
1.68 ± 0.72 / 13.50 ± 4.66 |
0.0.0 |
0.0.0 |
0.0.0 |
| NorGLM/NorGPT-369M (few-shot) |
unknown |
64 |
1024 |
True |
19,896 ± 5,099 / 3,848 ± 1,251 |
4.67 |
1.68 ± 1.40 / 1.54 ± 1.28 |
-1.38 ± 1.13 / 34.41 ± 2.16 |
0.08 ± 0.09 / 10.05 ± 2.08 |
12.5.2 |
12.5.2 |
12.5.2 |
| RJuro/kanelsnegl-v0.1 (few-shot) |
7242 |
32 |
512 |
True |
9,757 ± 2,047 / 2,200 ± 705 |
4.69 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.69 ± 0.28 |
0.00 ± 0.00 / 11.90 ± 2.74 |
9.3.1 |
9.3.1 |
9.3.1 |
| Sigurdur/icebreaker (few-shot) |
110 |
32 |
1024 |
False |
48,619 ± 7,681 / 13,831 ± 4,404 |
4.69 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.69 ± 0.28 |
0.00 ± 0.00 / 3.90 ± 0.28 |
12.5.2 |
12.5.2 |
12.5.2 |
| Sigurdur/icechat (few-shot) |
110 |
32 |
1024 |
False |
49,558 ± 7,930 / 13,921 ± 4,425 |
4.69 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.69 ± 0.28 |
0.00 ± 0.00 / 0.64 ± 0.34 |
12.5.2 |
12.5.2 |
12.5.2 |
| Sigurdur/jonas-hallgrimsson-gpt2 (few-shot) |
125 |
51 |
512 |
False |
32,644 ± 3,887 / 11,289 ± 3,585 |
4.69 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.69 ± 0.28 |
0.00 ± 0.00 / 0.00 ± 0.00 |
12.5.2 |
12.5.2 |
12.5.2 |
| Sigurdur/qa-icebreaker (few-shot) |
110 |
32 |
1024 |
False |
44,889 ± 6,944 / 13,506 ± 4,256 |
4.69 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.69 ± 0.28 |
0.00 ± 0.00 / 4.86 ± 0.20 |
12.5.2 |
12.5.2 |
12.5.2 |
| ai-forever/mGPT (few-shot) |
unknown |
100 |
1024 |
True |
13,551 ± 4,259 / 2,563 ± 838 |
4.69 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 33.69 ± 0.28 |
0.00 ± 0.00 / 0.05 ± 0.03 |
9.3.1 |
11.0.0 |
12.5.1 |