| gpt-4-0613 (few-shot, val) |
unknown |
100 |
8192 |
True |
597 ± 197 / 93 ± 33 |
1.20 |
76.86 ± 1.89 / 54.97 ± 4.44 |
79.19 ± 1.87 / 80.56 ± 1.82 |
80.93 ± 1.67 / 89.90 ± 0.93 |
53.81 ± 1.28 / 65.15 ± 1.11 |
0.0.0 |
0.0.0 |
0.0.0 |
12.9.0 |
| meta-llama/Meta-Llama-3-70B (few-shot, val) |
70554 |
128 |
8192 |
True |
312 ± 55 / 177 ± 51 |
1.24 |
74.61 ± 2.99 / 56.50 ± 6.30 |
78.61 ± 1.40 / 78.64 ± 1.53 |
63.20 ± 3.34 / 80.61 ± 2.52 |
61.98 ± 1.65 / 66.85 ± 1.42 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| AI-Sweden-Models/roberta-large-1160k |
355 |
50 |
512 |
True |
5,741 ± 987 / 1,554 ± 494 |
1.26 |
82.65 ± 1.04 / 80.43 ± 0.93 |
77.25 ± 1.20 / 73.96 ± 2.59 |
77.90 ± 1.45 / 88.63 ± 0.76 |
49.64 ± 1.11 / 55.64 ± 1.07 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| AI-Sweden-Models/roberta-large-1350k |
355 |
50 |
512 |
True |
5,744 ± 969 / 1,539 ± 492 |
1.27 |
82.97 ± 0.98 / 81.14 ± 1.14 |
77.37 ± 1.25 / 73.57 ± 3.43 |
73.81 ± 4.60 / 86.33 ± 2.48 |
49.50 ± 1.32 / 55.34 ± 1.33 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| KBLab/megatron-bert-large-swedish-cased-165k |
370 |
64 |
512 |
True |
7,138 ± 1,111 / 2,067 ± 660 |
1.34 |
81.05 ± 1.34 / 76.08 ± 1.45 |
78.00 ± 0.89 / 75.01 ± 2.18 |
76.79 ± 1.70 / 87.59 ± 1.06 |
45.71 ± 1.09 / 51.70 ± 0.89 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| KBLab/megatron-bert-large-swedish-cased-110k |
370 |
64 |
512 |
True |
7,075 ± 1,093 / 2,057 ± 661 |
1.36 |
80.39 ± 1.34 / 74.83 ± 1.44 |
78.45 ± 0.79 / 77.12 ± 0.86 |
76.28 ± 1.86 / 87.37 ± 1.15 |
44.56 ± 0.52 / 50.85 ± 0.56 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/bert-large-nordic-pile-1M-steps |
369 |
64 |
512 |
True |
6,571 ± 1,331 / 1,493 ± 479 |
1.41 |
80.65 ± 2.12 / 78.69 ± 1.68 |
77.43 ± 1.07 / 75.95 ± 2.00 |
76.56 ± 1.06 / 87.86 ± 0.70 |
41.54 ± 1.50 / 46.79 ± 1.60 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Nordics/bert-large-swedish-cased |
335 |
31 |
512 |
True |
7,199 ± 1,139 / 2,051 ± 651 |
1.43 |
78.61 ± 1.45 / 72.84 ± 1.51 |
77.47 ± 0.80 / 75.77 ± 2.13 |
72.87 ± 2.36 / 85.57 ± 1.43 |
43.11 ± 0.99 / 49.29 ± 1.05 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| KB/bert-base-swedish-cased |
125 |
50 |
512 |
True |
16,181 ± 2,451 / 4,620 ± 1,507 |
1.43 |
81.95 ± 1.55 / 76.66 ± 1.60 |
75.58 ± 1.17 / 73.35 ± 2.22 |
78.86 ± 0.83 / 89.07 ± 0.50 |
38.56 ± 1.53 / 43.79 ± 1.43 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| ltg/norbert3-large |
354 |
50 |
508 |
True |
5,048 ± 824 / 1,354 ± 429 |
1.43 |
79.01 ± 1.13 / 73.76 ± 1.48 |
75.32 ± 1.55 / 69.39 ± 3.64 |
69.11 ± 1.50 / 84.32 ± 0.70 |
48.88 ± 0.87 / 54.15 ± 0.83 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/rembert |
576 |
250 |
256 |
True |
11,736 ± 2,822 / 2,102 ± 677 |
1.44 |
78.23 ± 1.53 / 72.58 ± 1.51 |
75.99 ± 1.15 / 71.01 ± 4.17 |
72.17 ± 0.94 / 85.94 ± 0.54 |
46.00 ± 2.13 / 51.05 ± 2.40 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| intfloat/multilingual-e5-large |
560 |
250 |
512 |
True |
6,732 ± 1,273 / 1,633 ± 523 |
1.44 |
80.36 ± 1.12 / 78.57 ± 1.27 |
79.65 ± 1.05 / 78.90 ± 1.32 |
63.15 ± 1.65 / 81.06 ± 0.95 |
46.99 ± 1.18 / 53.49 ± 0.89 |
0.0.0 |
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 |
1.45 |
81.23 ± 1.58 / 75.95 ± 1.72 |
75.73 ± 0.72 / 73.61 ± 1.47 |
78.60 ± 0.98 / 88.95 ± 0.57 |
38.56 ± 1.53 / 43.79 ± 1.43 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| microsoft/mdeberta-v3-base |
279 |
251 |
512 |
True |
20,637 ± 3,925 / 4,497 ± 1,502 |
1.45 |
78.84 ± 2.19 / 72.86 ± 2.04 |
75.24 ± 0.99 / 72.06 ± 2.67 |
72.30 ± 1.04 / 85.77 ± 0.65 |
44.74 ± 1.04 / 50.62 ± 0.85 |
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 |
1.49 |
73.04 ± 2.74 / 61.64 ± 3.63 |
72.77 ± 2.64 / 72.56 ± 2.45 |
58.06 ± 3.84 / 76.06 ± 2.51 |
58.02 ± 2.11 / 66.84 ± 1.38 |
0.0.0 |
0.0.0 |
0.0.0 |
12.9.0 |
| gpt-3.5-turbo-0613 (few-shot) |
unknown |
100 |
4096 |
True |
837 ± 294 / 126 ± 43 |
1.50 |
71.43 ± 1.58 / 58.93 ± 3.29 |
77.50 ± 1.54 / 76.51 ± 1.63 |
55.99 ± 2.64 / 75.08 ± 2.22 |
55.46 ± 0.90 / 64.95 ± 0.64 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| sentence-transformers/use-cmlm-multilingual |
471 |
501 |
512 |
True |
30,231 ± 8,171 / 4,863 ± 1,598 |
1.51 |
80.05 ± 1.13 / 74.21 ± 1.26 |
75.09 ± 1.30 / 72.93 ± 2.37 |
61.83 ± 1.28 / 79.96 ± 0.82 |
45.69 ± 1.11 / 51.07 ± 1.04 |
0.0.0 |
0.0.0 |
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 |
1.52 |
78.91 ± 1.24 / 72.93 ± 1.08 |
76.09 ± 0.81 / 72.74 ± 2.11 |
70.08 ± 2.11 / 83.40 ± 1.46 |
41.14 ± 1.18 / 47.18 ± 0.98 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| danish-foundation-models/encoder-large-v1 |
355 |
50 |
512 |
True |
6,671 ± 1,380 / 1,497 ± 482 |
1.55 |
74.18 ± 2.01 / 68.89 ± 2.46 |
75.11 ± 1.19 / 74.74 ± 0.94 |
64.11 ± 3.27 / 81.63 ± 1.66 |
46.79 ± 1.61 / 52.40 ± 1.77 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-roberta-base-scandi |
278 |
250 |
512 |
True |
15,079 ± 2,948 / 3,359 ± 1,091 |
1.56 |
80.02 ± 1.62 / 74.04 ± 1.75 |
76.21 ± 1.60 / 73.41 ± 2.08 |
71.92 ± 1.07 / 85.01 ± 0.74 |
33.80 ± 0.78 / 38.58 ± 0.70 |
0.0.0 |
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 |
1.58 |
79.29 ± 0.94 / 73.18 ± 0.95 |
75.85 ± 0.54 / 70.58 ± 1.96 |
70.43 ± 1.03 / 83.85 ± 0.65 |
37.56 ± 0.64 / 44.01 ± 0.43 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-roberta-base-scandi-1e4 |
278 |
250 |
512 |
True |
15,074 ± 2,990 / 3,347 ± 1,080 |
1.58 |
79.90 ± 1.41 / 73.80 ± 1.53 |
76.20 ± 1.16 / 74.01 ± 2.34 |
73.62 ± 1.17 / 86.19 ± 0.80 |
32.38 ± 1.23 / 37.12 ± 1.20 |
0.0.0 |
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 |
1.58 |
79.08 ± 2.32 / 73.06 ± 2.01 |
72.53 ± 0.98 / 67.74 ± 3.02 |
73.01 ± 1.43 / 85.98 ± 0.81 |
36.92 ± 2.25 / 41.99 ± 2.38 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-large-1 |
355 |
50 |
512 |
True |
6,245 ± 1,260 / 1,416 ± 453 |
1.60 |
71.65 ± 1.55 / 69.08 ± 1.45 |
74.92 ± 0.98 / 72.01 ± 2.31 |
63.43 ± 2.30 / 81.00 ± 1.37 |
46.20 ± 1.03 / 51.94 ± 0.92 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| FacebookAI/xlm-roberta-large |
560 |
250 |
512 |
True |
17,897 ± 3,921 / 3,463 ± 1,141 |
1.61 |
80.33 ± 2.50 / 75.03 ± 3.79 |
76.63 ± 0.98 / 74.25 ± 3.20 |
49.72 ± 19.88 / 69.94 ± 13.64 |
46.64 ± 1.42 / 52.21 ± 1.45 |
0.0.0 |
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 |
1.62 |
79.99 ± 1.32 / 74.07 ± 1.54 |
76.04 ± 0.97 / 72.61 ± 1.82 |
73.52 ± 2.31 / 85.57 ± 1.53 |
30.60 ± 1.30 / 35.83 ± 1.02 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Llama-2-70b-hf (few-shot, val) |
68977 |
32 |
4096 |
True |
1,892 ± 650 / 318 ± 105 |
1.63 |
64.76 ± 3.91 / 61.08 ± 5.41 |
75.46 ± 1.99 / 74.35 ± 3.70 |
43.27 ± 5.03 / 65.62 ± 4.94 |
63.04 ± 1.52 / 66.95 ± 1.31 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| setu4993/LaBSE |
471 |
501 |
512 |
True |
25,418 ± 6,435 / 4,536 ± 1,452 |
1.63 |
77.78 ± 1.69 / 72.08 ± 1.81 |
73.58 ± 1.37 / 70.43 ± 2.49 |
60.36 ± 2.98 / 79.72 ± 1.52 |
41.71 ± 1.08 / 47.07 ± 0.98 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-large-2 |
355 |
50 |
512 |
True |
6,569 ± 1,320 / 1,492 ± 476 |
1.65 |
71.86 ± 1.73 / 69.05 ± 1.65 |
74.67 ± 1.43 / 71.15 ± 3.57 |
62.77 ± 3.14 / 80.75 ± 1.67 |
44.77 ± 3.06 / 50.58 ± 2.94 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| 152334H/miqu-1-70b-sf (few-shot, val) |
68977 |
32 |
32764 |
True |
2,126 ± 676 / 319 ± 104 |
1.66 |
62.96 ± 3.44 / 52.14 ± 4.04 |
75.25 ± 2.41 / 78.80 ± 1.96 |
53.28 ± 3.33 / 75.37 ± 1.80 |
56.42 ± 1.65 / 65.04 ± 1.17 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| KennethEnevoldsen/dfm-sentence-encoder-medium-3 |
178 |
120 |
512 |
True |
14,050 ± 3,278 / 2,749 ± 894 |
1.66 |
81.35 ± 1.26 / 79.18 ± 1.23 |
71.16 ± 1.21 / 69.78 ± 3.24 |
63.89 ± 1.18 / 81.45 ± 0.75 |
37.18 ± 2.04 / 42.09 ± 2.23 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| vesteinn/FoBERT |
124 |
50 |
512 |
True |
15,623 ± 2,828 / 3,737 ± 1,191 |
1.67 |
78.58 ± 1.52 / 72.45 ± 1.57 |
73.41 ± 0.98 / 68.72 ± 3.80 |
71.14 ± 1.62 / 84.55 ± 0.97 |
31.62 ± 1.35 / 36.20 ± 1.16 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-bert-base |
178 |
120 |
512 |
True |
14,050 ± 3,222 / 2,727 ± 886 |
1.70 |
80.38 ± 0.99 / 75.35 ± 0.88 |
71.21 ± 1.11 / 67.49 ± 2.90 |
64.03 ± 1.94 / 81.39 ± 1.29 |
35.33 ± 2.25 / 39.61 ± 2.31 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| ltg/norbert3-base |
124 |
50 |
508 |
True |
11,405 ± 1,970 / 2,856 ± 917 |
1.71 |
78.21 ± 0.92 / 72.63 ± 0.98 |
71.05 ± 1.70 / 70.72 ± 2.74 |
56.02 ± 2.92 / 77.31 ± 1.61 |
42.52 ± 1.02 / 47.31 ± 0.99 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| pere/roberta-debug-8 |
278 |
250 |
512 |
True |
15,103 ± 2,954 / 3,356 ± 1,090 |
1.72 |
74.48 ± 2.35 / 67.89 ± 2.16 |
74.58 ± 1.29 / 70.97 ± 2.41 |
69.07 ± 2.22 / 83.17 ± 1.50 |
31.66 ± 1.18 / 37.05 ± 1.10 |
0.0.0 |
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 |
1.73 |
79.02 ± 0.74 / 77.59 ± 0.76 |
76.06 ± 0.89 / 69.85 ± 3.16 |
50.19 ± 1.23 / 74.23 ± 0.99 |
40.65 ± 1.29 / 46.62 ± 1.30 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| pere/roberta-debug-32 |
278 |
250 |
512 |
True |
14,958 ± 2,903 / 3,331 ± 1,077 |
1.73 |
72.25 ± 2.16 / 65.94 ± 2.04 |
75.04 ± 1.08 / 72.35 ± 2.45 |
70.16 ± 1.47 / 84.29 ± 0.90 |
31.89 ± 0.99 / 36.93 ± 0.90 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| flax-community/swe-roberta-wiki-oscar |
125 |
50 |
512 |
True |
15,437 ± 2,628 / 3,834 ± 1,252 |
1.76 |
75.40 ± 1.45 / 70.45 ± 1.62 |
76.22 ± 0.78 / 75.25 ± 1.16 |
65.73 ± 1.73 / 81.50 ± 1.14 |
29.34 ± 1.44 / 34.01 ± 1.50 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| four-two-labs/orpo-llama-3-swe (few-shot) |
8030 |
128 |
8192 |
False |
4,974 ± 1,208 / 1,032 ± 342 |
1.78 |
60.93 ± 2.85 / 38.87 ± 3.50 |
79.74 ± 0.68 / 75.13 ± 1.85 |
26.02 ± 4.38 / 52.19 ± 5.44 |
59.84 ± 0.92 / 65.92 ± 0.82 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| meta-llama/Meta-Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,687 ± 1,121 / 967 ± 313 |
1.78 |
60.36 ± 2.84 / 39.37 ± 3.56 |
79.74 ± 0.75 / 75.11 ± 1.91 |
28.24 ± 4.19 / 55.29 ± 5.35 |
59.73 ± 1.13 / 65.72 ± 0.94 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| pere/roberta-base-exp-32 |
278 |
250 |
512 |
True |
15,081 ± 2,950 / 3,365 ± 1,092 |
1.79 |
79.75 ± 0.94 / 73.45 ± 0.86 |
74.73 ± 1.15 / 70.83 ± 3.72 |
53.55 ± 16.68 / 75.79 ± 8.05 |
32.20 ± 0.86 / 36.88 ± 0.81 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| pere/roberta-base-exp-8 |
278 |
250 |
512 |
True |
15,112 ± 2,969 / 3,347 ± 1,093 |
1.80 |
73.44 ± 2.81 / 67.31 ± 3.11 |
73.63 ± 1.53 / 68.42 ± 4.24 |
58.91 ± 17.49 / 77.13 ± 10.99 |
32.39 ± 1.02 / 37.33 ± 0.86 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| timpal0l/Llama-3-8B-flashback-v1 (few-shot) |
8030 |
128 |
8192 |
True |
4,849 ± 1,171 / 974 ± 316 |
1.80 |
53.94 ± 3.15 / 34.56 ± 3.93 |
81.20 ± 1.26 / 80.02 ± 2.24 |
36.46 ± 3.11 / 65.43 ± 3.12 |
58.73 ± 1.11 / 64.90 ± 1.02 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) |
8030 |
128 |
8192 |
False |
5,018 ± 1,216 / 996 ± 324 |
1.83 |
65.33 ± 2.38 / 46.88 ± 3.97 |
74.99 ± 3.45 / 76.76 ± 1.80 |
32.65 ± 5.08 / 61.25 ± 4.41 |
55.71 ± 1.34 / 64.54 ± 1.00 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| Nexusflow/Starling-LM-7B-beta (few-shot) |
7242 |
32 |
8192 |
False |
5,876 ± 1,021 / 1,677 ± 546 |
1.85 |
60.38 ± 1.60 / 36.17 ± 3.66 |
77.49 ± 0.98 / 72.07 ± 1.56 |
29.32 ± 2.34 / 54.43 ± 2.67 |
56.79 ± 0.83 / 65.84 ± 0.48 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| timpal0l/sol (few-shot) |
10732 |
32 |
4096 |
False |
3,701 ± 876 / 771 ± 247 |
1.86 |
57.51 ± 2.30 / 37.74 ± 3.15 |
77.31 ± 1.01 / 70.55 ± 2.26 |
25.06 ± 5.02 / 49.04 ± 4.68 |
60.16 ± 1.77 / 67.43 ± 1.02 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) |
10732 |
32 |
4096 |
True |
3,780 ± 906 / 799 ± 261 |
1.89 |
59.65 ± 2.22 / 39.33 ± 3.33 |
77.48 ± 1.23 / 70.13 ± 2.81 |
16.94 ± 2.36 / 40.98 ± 1.82 |
62.65 ± 0.56 / 68.15 ± 0.56 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
| microsoft/infoxlm-large |
560 |
250 |
512 |
True |
6,696 ± 1,260 / 1,630 ± 515 |
1.90 |
79.53 ± 2.77 / 74.53 ± 2.70 |
75.42 ± 1.08 / 72.68 ± 3.19 |
18.44 ± 10.88 / 53.57 ± 7.20 |
48.19 ± 1.10 / 53.67 ± 0.81 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Addedk/kbbert-distilled-cased |
82 |
50 |
512 |
True |
29,698 ± 4,287 / 8,677 ± 2,776 |
1.91 |
80.12 ± 1.41 / 73.78 ± 1.37 |
71.28 ± 1.09 / 69.73 ± 2.94 |
51.58 ± 2.89 / 73.82 ± 2.21 |
28.16 ± 0.76 / 33.47 ± 0.62 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| cardiffnlp/twitter-xlm-roberta-base |
278 |
250 |
512 |
True |
34,475 ± 7,465 / 6,712 ± 2,223 |
1.91 |
72.49 ± 1.68 / 67.03 ± 1.55 |
70.69 ± 1.08 / 67.03 ± 3.40 |
56.60 ± 3.25 / 76.70 ± 2.48 |
31.89 ± 1.88 / 37.63 ± 1.86 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| facebook/xlm-v-base |
778 |
902 |
512 |
True |
25,396 ± 6,394 / 4,534 ± 1,421 |
1.91 |
68.39 ± 7.26 / 63.66 ± 6.41 |
73.43 ± 0.91 / 61.29 ± 1.81 |
45.09 ± 15.90 / 68.48 ± 11.31 |
38.04 ± 2.09 / 43.73 ± 1.83 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| merge-crew/da-sv-slerp (few-shot, val) |
7242 |
32 |
32768 |
True |
2,467 ± 469 / 762 ± 244 |
1.91 |
46.57 ± 3.34 / 33.94 ± 3.73 |
76.53 ± 2.55 / 77.96 ± 3.04 |
33.43 ± 3.89 / 61.87 ± 4.02 |
59.87 ± 1.52 / 64.53 ± 1.41 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| merge-crew/da-sv-task-arithmetic (few-shot, val) |
7242 |
32 |
32768 |
True |
2,500 ± 469 / 762 ± 238 |
1.91 |
47.28 ± 3.05 / 34.01 ± 3.73 |
76.62 ± 2.52 / 78.04 ± 2.98 |
33.23 ± 4.72 / 61.29 ± 4.67 |
60.00 ± 1.69 / 64.62 ± 1.44 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| timpal0l/BeagleCatMunin (few-shot, val) |
7242 |
32 |
32768 |
False |
2,495 ± 458 / 775 ± 244 |
1.91 |
50.53 ± 3.30 / 37.77 ± 4.38 |
77.37 ± 2.25 / 78.66 ± 2.43 |
27.84 ± 4.72 / 49.46 ± 4.52 |
59.98 ± 1.65 / 65.44 ± 1.38 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| RJuro/munin-neuralbeagle-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,493 ± 466 / 773 ± 243 |
1.92 |
62.96 ± 2.62 / 51.99 ± 5.66 |
77.13 ± 2.43 / 78.36 ± 1.88 |
15.73 ± 7.07 / 47.41 ± 5.31 |
58.43 ± 1.59 / 65.06 ± 1.19 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| pere/roberta-base-exp-32B |
278 |
250 |
512 |
True |
15,103 ± 2,982 / 3,357 ± 1,081 |
1.93 |
77.97 ± 0.82 / 72.10 ± 0.94 |
73.27 ± 0.75 / 71.87 ± 1.30 |
47.19 ± 16.37 / 72.10 ± 8.03 |
31.07 ± 0.93 / 36.17 ± 0.73 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,443 ± 458 / 750 ± 240 |
1.94 |
46.61 ± 3.11 / 34.10 ± 4.61 |
76.38 ± 2.01 / 78.30 ± 2.42 |
34.16 ± 4.39 / 60.06 ± 4.67 |
58.77 ± 1.76 / 63.50 ± 1.47 |
10.0.1 |
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 |
1.94 |
44.14 ± 2.40 / 29.77 ± 4.06 |
80.14 ± 1.11 / 80.19 ± 0.78 |
34.23 ± 2.23 / 65.29 ± 2.17 |
57.07 ± 1.56 / 62.52 ± 1.11 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
| timpal0l/njord-alpha (few-shot) |
7242 |
32 |
32768 |
True |
5,431 ± 1,267 / 1,139 ± 365 |
1.94 |
48.19 ± 2.55 / 37.50 ± 3.62 |
79.95 ± 0.87 / 81.24 ± 0.64 |
32.85 ± 2.28 / 61.74 ± 3.05 |
57.39 ± 1.52 / 63.58 ± 1.19 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| birgermoell/Rapid-Cycling (few-shot, val) |
7242 |
32 |
32768 |
False |
2,346 ± 450 / 666 ± 249 |
1.95 |
53.66 ± 3.57 / 41.97 ± 4.83 |
77.72 ± 2.51 / 78.40 ± 2.65 |
16.22 ± 4.46 / 43.17 ± 3.88 |
59.75 ± 1.13 / 64.72 ± 1.04 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| google-bert/bert-base-multilingual-cased |
178 |
120 |
512 |
True |
14,083 ± 3,264 / 2,738 ± 889 |
1.96 |
76.29 ± 1.28 / 70.33 ± 1.16 |
61.78 ± 1.21 / 60.94 ± 3.28 |
47.74 ± 7.69 / 72.98 ± 4.74 |
41.17 ± 1.01 / 46.07 ± 1.12 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) |
7242 |
32 |
32768 |
False |
5,822 ± 1,283 / 1,336 ± 430 |
1.98 |
55.06 ± 2.38 / 41.39 ± 4.31 |
77.50 ± 0.90 / 73.87 ± 1.21 |
17.47 ± 2.33 / 47.73 ± 3.35 |
58.67 ± 0.96 / 64.58 ± 0.78 |
10.0.1 |
10.0.1 |
10.0.1 |
12.5.0 |
| birgermoell/Flashback-Bellman (few-shot, val) |
7242 |
32 |
32768 |
False |
2,887 ± 403 / 1,144 ± 345 |
1.98 |
55.29 ± 3.95 / 41.59 ± 4.48 |
78.29 ± 1.83 / 78.77 ± 2.06 |
18.45 ± 3.00 / 46.38 ± 2.81 |
58.42 ± 1.64 / 63.83 ± 1.18 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) |
70554 |
128 |
8192 |
True |
1,673 ± 583 / 275 ± 85 |
1.99 |
77.06 ± 2.72 / 67.75 ± 5.69 |
53.56 ± 7.15 / 67.07 ± 3.93 |
47.50 ± 3.37 / 71.31 ± 2.69 |
46.86 ± 1.77 / 60.96 ± 1.04 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| Geotrend/bert-base-25lang-cased |
151 |
85 |
512 |
True |
13,908 ± 3,201 / 2,700 ± 872 |
2.00 |
75.62 ± 1.56 / 70.17 ± 1.46 |
62.50 ± 1.10 / 60.57 ± 2.75 |
38.18 ± 7.03 / 66.99 ± 4.92 |
40.96 ± 1.11 / 45.91 ± 1.20 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| ZurichNLP/unsup-simcse-xlm-roberta-base |
278 |
250 |
512 |
True |
34,520 ± 7,443 / 6,730 ± 2,224 |
2.00 |
75.49 ± 1.09 / 74.57 ± 0.60 |
71.12 ± 0.90 / 60.88 ± 2.58 |
36.69 ± 15.58 / 65.77 ± 8.64 |
33.55 ± 2.07 / 38.90 ± 2.21 |
12.6.1 |
12.6.1 |
12.6.1 |
0.0.0 |
| AI-Sweden-Models/tyr (few-shot, val) |
7242 |
32 |
32768 |
False |
6,079 ± 1,051 / 1,760 ± 570 |
2.02 |
56.21 ± 2.49 / 44.78 ± 4.19 |
78.30 ± 1.71 / 79.80 ± 2.03 |
14.35 ± 5.65 / 48.69 ± 4.30 |
61.08 ± 1.47 / 65.72 ± 1.07 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
3,008 ± 429 / 991 ± 323 |
2.03 |
59.36 ± 2.75 / 47.08 ± 4.17 |
72.04 ± 3.27 / 63.83 ± 2.07 |
22.38 ± 7.17 / 54.70 ± 5.49 |
57.96 ± 2.00 / 64.06 ± 1.76 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| google-bert/bert-base-multilingual-uncased |
167 |
106 |
512 |
True |
13,993 ± 3,217 / 2,752 ± 893 |
2.03 |
70.85 ± 1.56 / 65.50 ± 1.71 |
63.30 ± 0.93 / 59.96 ± 1.80 |
48.97 ± 1.14 / 73.78 ± 0.61 |
38.00 ± 1.52 / 42.69 ± 1.62 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Mabeck/Heidrun-Mistral-7B-base (few-shot) |
7242 |
32 |
32768 |
True |
3,823 ± 967 / 860 ± 280 |
2.05 |
48.43 ± 2.75 / 35.31 ± 2.80 |
79.43 ± 0.85 / 78.21 ± 1.69 |
17.37 ± 2.57 / 52.91 ± 4.93 |
57.05 ± 1.22 / 62.72 ± 0.89 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| danish-foundation-models/munin-7b-v0.1dev0 (few-shot) |
7242 |
32 |
8192 |
True |
6,113 ± 1,044 / 1,790 ± 579 |
2.05 |
47.10 ± 2.60 / 35.06 ± 3.65 |
73.05 ± 5.27 / 74.56 ± 4.19 |
30.29 ± 2.63 / 61.40 ± 3.22 |
57.39 ± 1.38 / 63.51 ± 1.04 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
| merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,515 ± 465 / 785 ± 247 |
2.05 |
45.12 ± 2.72 / 30.73 ± 4.55 |
78.74 ± 2.13 / 80.11 ± 2.64 |
19.74 ± 6.09 / 46.97 ± 5.83 |
60.15 ± 1.71 / 65.22 ± 1.28 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
2,549 ± 472 / 784 ± 245 |
2.05 |
61.25 ± 3.35 / 50.76 ± 5.94 |
76.03 ± 2.11 / 78.25 ± 1.95 |
16.28 ± 4.81 / 49.04 ± 3.60 |
50.96 ± 2.34 / 60.05 ± 1.18 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| Geotrend/bert-base-en-da-cased |
111 |
33 |
512 |
True |
14,062 ± 3,216 / 2,733 ± 885 |
2.06 |
74.88 ± 1.45 / 69.57 ± 1.83 |
61.89 ± 0.90 / 60.17 ± 3.06 |
40.22 ± 2.03 / 68.89 ± 2.06 |
39.95 ± 0.82 / 44.78 ± 0.99 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/bert-base-en-fr-de-no-da-cased |
118 |
42 |
512 |
True |
13,973 ± 3,205 / 2,725 ± 884 |
2.06 |
76.55 ± 1.28 / 70.38 ± 1.01 |
61.60 ± 1.38 / 62.28 ± 3.13 |
37.44 ± 6.65 / 66.67 ± 4.88 |
39.32 ± 1.25 / 43.87 ± 1.29 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/bert-base-en-no-cased |
111 |
33 |
512 |
True |
14,081 ± 3,231 / 2,748 ± 891 |
2.06 |
75.33 ± 0.99 / 69.89 ± 0.52 |
61.80 ± 1.76 / 58.93 ± 3.28 |
36.62 ± 5.98 / 66.91 ± 3.69 |
39.95 ± 1.95 / 44.71 ± 1.99 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| birgermoell/roberta-swedish-scandi |
125 |
50 |
512 |
True |
15,385 ± 2,815 / 3,578 ± 1,177 |
2.06 |
68.55 ± 3.16 / 62.00 ± 2.58 |
69.96 ± 1.75 / 68.67 ± 3.21 |
52.88 ± 14.23 / 75.25 ± 7.45 |
27.99 ± 1.23 / 32.49 ± 1.27 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| merge-crew/da-sv-ties (few-shot, val) |
7242 |
32 |
32768 |
True |
2,457 ± 451 / 757 ± 237 |
2.06 |
48.36 ± 3.07 / 34.48 ± 5.22 |
76.57 ± 2.19 / 78.11 ± 2.73 |
20.94 ± 5.55 / 44.72 ± 4.06 |
59.07 ± 1.90 / 63.87 ± 1.46 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) |
7242 |
32 |
32768 |
False |
2,890 ± 401 / 1,155 ± 348 |
2.07 |
52.96 ± 3.45 / 41.51 ± 4.30 |
76.99 ± 2.37 / 76.84 ± 2.99 |
14.27 ± 4.36 / 40.60 ± 3.04 |
59.92 ± 1.64 / 64.87 ± 1.47 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| mhenrichsen/danskgpt-chat-v2.1 (few-shot) |
unknown |
32 |
32768 |
True |
5,085 ± 998 / 1,306 ± 404 |
2.07 |
54.37 ± 3.04 / 42.16 ± 4.00 |
75.98 ± 1.15 / 74.44 ± 1.12 |
17.98 ± 1.97 / 56.01 ± 2.08 |
55.07 ± 0.74 / 64.24 ± 0.61 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
| meta-llama/Llama-2-70b-chat-hf (few-shot, val) |
68977 |
32 |
4096 |
True |
1,979 ± 621 / 320 ± 105 |
2.08 |
55.91 ± 3.25 / 39.73 ± 4.94 |
64.52 ± 3.15 / 70.51 ± 2.49 |
23.85 ± 7.34 / 56.89 ± 6.08 |
58.88 ± 1.51 / 65.82 ± 1.07 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| Twitter/twhin-bert-base |
279 |
250 |
512 |
True |
11,514 ± 2,041 / 2,862 ± 918 |
2.09 |
70.17 ± 0.99 / 64.19 ± 1.42 |
66.62 ± 1.71 / 61.90 ± 2.61 |
46.72 ± 3.65 / 72.15 ± 2.62 |
31.38 ± 1.36 / 35.79 ± 1.33 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| flax-community/nordic-roberta-wiki |
125 |
50 |
512 |
True |
16,227 ± 2,650 / 4,252 ± 1,393 |
2.09 |
72.90 ± 1.37 / 66.93 ± 1.30 |
61.11 ± 1.28 / 58.97 ± 2.27 |
55.05 ± 1.64 / 76.76 ± 0.93 |
29.04 ± 1.16 / 33.60 ± 1.06 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| timpal0l/BeagleCatMunin2 (few-shot, val) |
7242 |
32 |
32768 |
False |
2,477 ± 459 / 767 ± 241 |
2.09 |
60.87 ± 3.71 / 47.40 ± 5.32 |
73.72 ± 2.20 / 67.79 ± 2.37 |
6.78 ± 4.34 / 35.90 ± 2.11 |
58.75 ± 1.46 / 65.08 ± 1.15 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| Geotrend/bert-base-da-cased |
104 |
23 |
512 |
True |
15,432 ± 2,838 / 3,642 ± 1,189 |
2.11 |
74.13 ± 1.17 / 68.93 ± 1.36 |
62.18 ± 1.26 / 59.44 ± 2.35 |
36.93 ± 6.47 / 65.97 ± 6.05 |
37.59 ± 1.99 / 41.94 ± 2.23 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) |
7242 |
32 |
32768 |
False |
2,903 ± 407 / 1,157 ± 350 |
2.11 |
63.85 ± 2.67 / 47.77 ± 4.72 |
73.72 ± 2.98 / 62.83 ± 1.64 |
-0.56 ± 2.24 / 33.54 ± 1.03 |
60.10 ± 1.48 / 66.26 ± 1.19 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) |
7242 |
32 |
32768 |
False |
2,856 ± 391 / 1,142 ± 342 |
2.11 |
63.85 ± 2.67 / 47.77 ± 4.72 |
73.72 ± 2.98 / 62.83 ± 1.64 |
-0.56 ± 2.24 / 33.54 ± 1.03 |
60.10 ± 1.48 / 66.26 ± 1.19 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| mistralai/Mistral-7B-v0.1 (few-shot) |
7242 |
32 |
32768 |
True |
2,657 ± 524 / 880 ± 278 |
2.11 |
53.34 ± 2.55 / 40.48 ± 3.66 |
80.00 ± 0.70 / 79.80 ± 0.66 |
4.61 ± 2.18 / 34.51 ± 0.86 |
58.99 ± 1.05 / 64.65 ± 0.83 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
| KennethEnevoldsen/munin_mistral-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,543 ± 466 / 787 ± 247 |
2.12 |
52.34 ± 3.07 / 39.14 ± 4.60 |
77.66 ± 2.09 / 78.59 ± 2.41 |
6.00 ± 4.15 / 36.34 ± 2.20 |
60.16 ± 1.81 / 64.12 ± 1.59 |
12.5.2 |
12.3.1 |
12.3.1 |
12.3.2 |
| ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) |
7242 |
32 |
32768 |
False |
3,006 ± 479 / 1,053 ± 319 |
2.12 |
44.64 ± 1.66 / 31.30 ± 2.96 |
77.98 ± 1.01 / 72.79 ± 2.47 |
16.57 ± 2.58 / 51.86 ± 3.69 |
57.31 ± 0.92 / 63.73 ± 1.04 |
11.0.0 |
11.0.0 |
11.0.0 |
12.4.0 |
| alpindale/Mistral-7B-v0.2-hf (few-shot) |
7242 |
32 |
32768 |
True |
1,841 ± 297 / 651 ± 193 |
2.13 |
48.96 ± 2.72 / 39.25 ± 3.69 |
78.90 ± 0.95 / 78.62 ± 1.08 |
10.82 ± 3.46 / 38.95 ± 3.80 |
58.91 ± 1.02 / 64.72 ± 0.76 |
12.5.2 |
12.5.1 |
12.5.1 |
12.5.1 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) |
8030 |
128 |
8192 |
True |
4,909 ± 1,215 / 978 ± 319 |
2.13 |
69.67 ± 1.30 / 52.94 ± 4.01 |
59.93 ± 4.70 / 67.54 ± 3.04 |
27.63 ± 3.19 / 60.85 ± 3.29 |
49.84 ± 1.61 / 60.85 ± 0.93 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| bineric/NorskGPT-Llama3-8b (few-shot) |
8030 |
128 |
8192 |
False |
3,695 ± 1,277 / 532 ± 183 |
2.14 |
63.19 ± 2.83 / 51.22 ± 3.61 |
76.06 ± 0.64 / 61.59 ± 0.77 |
5.34 ± 1.42 / 34.32 ± 0.56 |
56.70 ± 0.87 / 66.00 ± 0.59 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| jonfd/electra-small-nordic |
22 |
96 |
128 |
True |
5,989 ± 120 / 3,809 ± 1,230 |
2.15 |
71.07 ± 1.59 / 65.46 ± 1.28 |
66.42 ± 0.72 / 57.57 ± 1.23 |
69.19 ± 0.66 / 84.26 ± 0.36 |
11.85 ± 4.94 / 13.02 ± 5.55 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| mhenrichsen/hestenettetLM (few-shot) |
7242 |
32 |
32768 |
True |
5,160 ± 804 / 1,654 ± 516 |
2.16 |
53.00 ± 2.53 / 39.09 ± 3.72 |
79.70 ± 0.65 / 79.45 ± 0.68 |
4.32 ± 2.19 / 34.43 ± 0.87 |
59.03 ± 1.03 / 64.74 ± 0.84 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| danish-foundation-models/munin-7b-alpha (few-shot) |
7242 |
32 |
32768 |
True |
6,116 ± 1,049 / 1,784 ± 577 |
2.17 |
42.23 ± 2.44 / 30.30 ± 4.71 |
78.80 ± 0.93 / 75.28 ± 1.78 |
15.47 ± 1.79 / 54.26 ± 3.41 |
56.75 ± 1.15 / 62.43 ± 0.95 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
| ltg/norbert3-small |
41 |
50 |
508 |
True |
13,515 ± 2,514 / 3,042 ± 1,004 |
2.18 |
74.22 ± 1.37 / 68.68 ± 1.40 |
63.80 ± 1.56 / 57.65 ± 2.24 |
37.77 ± 5.16 / 65.87 ± 4.30 |
31.45 ± 0.94 / 35.81 ± 0.94 |
0.0.0 |
0.0.0 |
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 |
2.19 |
46.74 ± 4.30 / 33.57 ± 4.51 |
77.06 ± 1.82 / 79.02 ± 1.37 |
14.00 ± 1.59 / 53.89 ± 3.10 |
56.74 ± 0.52 / 63.45 ± 0.49 |
12.5.2 |
12.3.2 |
12.3.2 |
12.4.0 |
| vesteinn/DanskBERT |
124 |
50 |
512 |
True |
15,749 ± 2,665 / 4,014 ± 1,281 |
2.19 |
72.33 ± 0.82 / 67.15 ± 0.85 |
67.77 ± 1.19 / 62.98 ± 2.57 |
33.79 ± 7.61 / 64.01 ± 6.84 |
32.71 ± 0.77 / 37.46 ± 0.64 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| jhu-clsp/bernice |
278 |
250 |
128 |
True |
5,567 ± 450 / 2,483 ± 798 |
2.20 |
71.34 ± 0.91 / 65.04 ± 1.33 |
70.91 ± 1.23 / 67.12 ± 3.79 |
53.52 ± 1.22 / 76.15 ± 0.53 |
16.41 ± 4.10 / 18.47 ± 4.44 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| bineric/NorskGPT-Mistral-7b (few-shot) |
7242 |
32 |
32768 |
False |
2,443 ± 451 / 761 ± 237 |
2.21 |
58.40 ± 2.62 / 40.55 ± 3.65 |
74.30 ± 1.26 / 60.35 ± 0.41 |
0.00 ± 0.00 / 33.37 ± 0.27 |
59.16 ± 1.23 / 65.78 ± 0.72 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
| DDSC/roberta-base-scandinavian |
125 |
50 |
512 |
True |
14,491 ± 2,800 / 3,182 ± 1,026 |
2.22 |
58.84 ± 13.92 / 53.63 ± 12.63 |
72.28 ± 0.79 / 71.62 ± 1.38 |
37.61 ± 17.89 / 66.93 ± 9.43 |
30.59 ± 0.68 / 35.43 ± 0.61 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| RuterNorway/Llama-2-13b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
3,254 ± 1,068 / 484 ± 173 |
2.22 |
50.85 ± 2.44 / 39.65 ± 3.83 |
74.17 ± 2.12 / 76.62 ± 1.83 |
7.51 ± 1.94 / 37.81 ± 1.76 |
57.32 ± 0.63 / 63.28 ± 0.71 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| microsoft/xlm-align-base |
278 |
250 |
512 |
True |
14,744 ± 2,870 / 3,265 ± 1,053 |
2.22 |
78.60 ± 1.91 / 73.04 ± 2.25 |
73.67 ± 1.48 / 68.61 ± 3.14 |
15.41 ± 4.59 / 53.29 ± 3.93 |
32.41 ± 3.14 / 37.13 ± 3.07 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| senseable/WestLake-7B-v2 (few-shot) |
7242 |
32 |
32768 |
False |
5,993 ± 1,028 / 1,742 ± 561 |
2.22 |
58.90 ± 1.34 / 42.48 ± 3.97 |
67.74 ± 2.79 / 71.89 ± 1.89 |
16.52 ± 2.55 / 46.30 ± 2.62 |
49.41 ± 1.21 / 59.91 ± 0.48 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| meta-llama/Llama-2-7b-hf (few-shot) |
6738 |
32 |
4096 |
True |
930 ± 310 / 128 ± 43 |
2.24 |
44.11 ± 4.26 / 31.64 ± 4.48 |
79.05 ± 1.08 / 75.52 ± 2.66 |
7.34 ± 3.19 / 43.83 ± 5.31 |
57.49 ± 0.95 / 63.16 ± 0.77 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
| sentence-transformers/stsb-xlm-r-multilingual |
278 |
250 |
512 |
True |
15,040 ± 2,953 / 3,417 ± 1,100 |
2.24 |
68.94 ± 1.53 / 62.54 ± 1.20 |
72.77 ± 0.89 / 68.13 ± 1.56 |
40.21 ± 2.53 / 67.11 ± 1.86 |
20.09 ± 1.31 / 25.99 ± 1.19 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| occiglot/occiglot-7b-eu5 (few-shot) |
7242 |
32 |
32768 |
True |
2,219 ± 427 / 717 ± 224 |
2.25 |
49.02 ± 3.23 / 41.69 ± 3.74 |
76.56 ± 1.52 / 78.16 ± 1.12 |
2.18 ± 2.34 / 36.26 ± 3.89 |
58.98 ± 0.95 / 63.65 ± 0.89 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
| sentence-transformers/paraphrase-xlm-r-multilingual-v1 |
278 |
250 |
512 |
True |
20,154 ± 4,438 / 3,890 ± 1,256 |
2.28 |
70.22 ± 1.49 / 63.97 ± 1.48 |
71.33 ± 1.20 / 65.44 ± 3.64 |
39.60 ± 5.87 / 66.60 ± 3.19 |
18.65 ± 1.15 / 24.75 ± 0.98 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| LumiOpen/Viking-33B (few-shot) |
33119 |
131 |
4099 |
True |
2,080 ± 700 / 331 ± 117 |
2.29 |
42.35 ± 1.51 / 28.31 ± 3.87 |
77.68 ± 1.11 / 78.86 ± 0.93 |
8.08 ± 1.69 / 50.52 ± 2.25 |
54.57 ± 1.25 / 60.34 ± 1.10 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
| Twitter/twhin-bert-large |
561 |
250 |
512 |
True |
9,707 ± 1,664 / 2,549 ± 831 |
2.29 |
74.26 ± 1.65 / 68.20 ± 1.70 |
63.35 ± 5.43 / 60.33 ± 5.50 |
16.07 ± 10.73 / 52.48 ± 7.50 |
36.77 ± 3.78 / 41.72 ± 3.83 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| microsoft/infoxlm-base |
278 |
250 |
512 |
True |
34,735 ± 7,558 / 6,846 ± 2,312 |
2.29 |
79.43 ± 1.07 / 74.17 ± 1.10 |
71.48 ± 2.63 / 65.72 ± 4.78 |
7.26 ± 2.18 / 45.42 ± 4.53 |
33.72 ± 1.71 / 38.23 ± 1.57 |
0.0.0 |
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 |
2.30 |
65.14 ± 1.57 / 59.82 ± 1.39 |
73.47 ± 0.84 / 70.20 ± 2.49 |
36.62 ± 6.55 / 66.09 ± 5.35 |
18.65 ± 0.91 / 25.00 ± 0.87 |
0.0.0 |
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 |
2.31 |
47.67 ± 2.81 / 36.91 ± 3.50 |
71.73 ± 2.40 / 74.97 ± 1.84 |
7.90 ± 3.20 / 41.24 ± 4.78 |
57.78 ± 0.79 / 64.48 ± 0.73 |
12.5.2 |
12.2.0 |
12.3.1 |
12.4.0 |
| distilbert/distilbert-base-multilingual-cased |
135 |
120 |
512 |
True |
26,355 ± 5,946 / 5,266 ± 1,714 |
2.32 |
70.08 ± 1.38 / 64.46 ± 1.31 |
59.66 ± 1.22 / 56.16 ± 2.13 |
33.71 ± 1.12 / 65.32 ± 0.86 |
31.48 ± 1.85 / 36.44 ± 1.87 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| clips/mfaq |
278 |
250 |
128 |
True |
5,591 ± 187 / 3,349 ± 1,105 |
2.33 |
76.31 ± 1.29 / 70.91 ± 1.27 |
73.32 ± 1.13 / 70.21 ± 3.74 |
32.29 ± 10.98 / 62.21 ± 5.02 |
16.12 ± 5.80 / 19.52 ± 6.73 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| 01-ai/Yi-6B (few-shot) |
6061 |
64 |
4096 |
True |
2,786 ± 532 / 784 ± 250 |
2.34 |
46.69 ± 2.39 / 32.97 ± 4.57 |
75.39 ± 1.06 / 71.95 ± 1.42 |
2.91 ± 2.80 / 35.26 ± 2.12 |
54.95 ± 0.86 / 60.77 ± 0.75 |
9.3.2 |
10.0.0 |
10.0.0 |
12.5.1 |
| mlabonne/AlphaMonarch-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
5,340 ± 1,262 / 1,157 ± 375 |
2.34 |
60.53 ± 3.06 / 48.45 ± 5.19 |
67.03 ± 3.61 / 70.77 ± 1.95 |
15.10 ± 4.60 / 48.57 ± 2.91 |
42.46 ± 1.63 / 53.50 ± 1.40 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| tollefj/nordavind-7b-instruct-warm (few-shot) |
7248 |
33 |
2048 |
False |
6,450 ± 961 / 2,082 ± 658 |
2.34 |
47.24 ± 3.36 / 24.94 ± 3.21 |
77.91 ± 1.42 / 76.08 ± 2.54 |
5.55 ± 2.55 / 48.57 ± 3.21 |
51.41 ± 0.74 / 57.55 ± 0.69 |
12.5.2 |
12.3.2 |
12.3.2 |
12.4.0 |
| neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
2,518 ± 463 / 779 ± 243 |
2.35 |
54.38 ± 2.92 / 39.66 ± 5.20 |
55.84 ± 2.51 / 66.96 ± 1.37 |
16.05 ± 2.15 / 54.22 ± 2.86 |
53.22 ± 0.88 / 61.85 ± 0.63 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
| Geotrend/distilbert-base-25lang-cased |
109 |
85 |
512 |
True |
26,099 ± 5,881 / 5,178 ± 1,665 |
2.37 |
70.56 ± 1.36 / 64.49 ± 1.43 |
60.69 ± 0.46 / 56.69 ± 1.35 |
30.83 ± 1.47 / 63.39 ± 1.60 |
31.41 ± 1.05 / 36.45 ± 1.05 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) |
7242 |
32 |
32768 |
False |
5,443 ± 1,273 / 1,144 ± 364 |
2.37 |
45.01 ± 2.11 / 27.59 ± 3.35 |
73.33 ± 1.98 / 76.19 ± 1.59 |
11.59 ± 3.45 / 40.89 ± 4.15 |
52.12 ± 1.42 / 59.29 ± 1.17 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
2,538 ± 415 / 821 ± 253 |
2.37 |
47.92 ± 2.66 / 33.00 ± 3.24 |
62.90 ± 2.44 / 70.61 ± 1.19 |
19.95 ± 2.24 / 56.49 ± 2.10 |
52.51 ± 0.36 / 61.42 ± 0.52 |
9.2.0 |
9.2.0 |
9.3.1 |
12.4.0 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) |
20918 |
64 |
2048 |
True |
1,875 ± 673 / 261 ± 91 |
2.38 |
31.86 ± 5.09 / 21.95 ± 3.90 |
78.88 ± 1.58 / 79.56 ± 1.43 |
12.26 ± 1.97 / 46.90 ± 4.11 |
53.58 ± 0.97 / 60.28 ± 0.81 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| Geotrend/distilbert-base-en-da-cased |
69 |
33 |
512 |
True |
26,196 ± 5,956 / 5,220 ± 1,691 |
2.40 |
69.62 ± 0.88 / 63.51 ± 1.33 |
59.42 ± 1.21 / 55.74 ± 1.26 |
29.01 ± 2.06 / 62.65 ± 1.37 |
31.82 ± 1.07 / 36.82 ± 1.14 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/distilbert-base-en-fr-de-no-da-cased |
76 |
42 |
512 |
True |
26,081 ± 5,875 / 5,209 ± 1,692 |
2.40 |
69.94 ± 1.11 / 63.93 ± 1.47 |
59.83 ± 1.11 / 55.15 ± 0.99 |
29.82 ± 1.23 / 63.32 ± 1.41 |
31.13 ± 1.15 / 36.20 ± 1.22 |
0.0.0 |
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 |
2.40 |
69.28 ± 1.15 / 63.61 ± 1.27 |
59.53 ± 1.69 / 57.93 ± 2.20 |
29.36 ± 1.50 / 63.60 ± 0.89 |
30.42 ± 1.54 / 35.34 ± 1.63 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| dbmdz/bert-base-historic-multilingual-cased |
111 |
32 |
512 |
True |
20,047 ± 4,407 / 3,844 ± 1,259 |
2.40 |
68.83 ± 1.00 / 63.29 ± 1.48 |
64.25 ± 1.66 / 63.62 ± 2.92 |
28.62 ± 9.43 / 59.33 ± 5.91 |
28.78 ± 2.01 / 34.26 ± 2.03 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,461 ± 476 / 773 ± 248 |
2.40 |
32.37 ± 3.05 / 24.60 ± 3.81 |
75.33 ± 2.41 / 77.99 ± 2.58 |
12.73 ± 6.32 / 45.51 ± 7.43 |
53.05 ± 1.83 / 58.32 ± 1.46 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| norallm/normistral-7b-warm (few-shot) |
7248 |
33 |
2048 |
True |
3,175 ± 456 / 1,186 ± 354 |
2.41 |
48.78 ± 5.08 / 26.81 ± 3.42 |
76.09 ± 1.23 / 74.78 ± 1.97 |
2.53 ± 2.80 / 47.37 ± 2.29 |
48.93 ± 0.97 / 55.09 ± 0.85 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| Geotrend/distilbert-base-da-cased |
61 |
23 |
512 |
True |
28,950 ± 5,114 / 7,010 ± 2,267 |
2.42 |
69.25 ± 1.37 / 63.90 ± 1.27 |
58.47 ± 1.30 / 56.03 ± 2.36 |
29.80 ± 1.57 / 63.53 ± 0.90 |
30.61 ± 1.31 / 35.37 ± 1.52 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Addedk/mbert-swedish-distilled-cased |
135 |
120 |
512 |
True |
26,091 ± 5,835 / 5,209 ± 1,690 |
2.45 |
73.41 ± 1.54 / 66.98 ± 1.68 |
62.10 ± 1.18 / 60.27 ± 2.82 |
34.86 ± 1.29 / 66.98 ± 0.77 |
18.10 ± 2.67 / 21.09 ± 3.18 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) |
6738 |
32 |
4096 |
False |
5,384 ± 879 / 1,746 ± 553 |
2.49 |
53.95 ± 1.89 / 42.16 ± 4.59 |
60.91 ± 2.35 / 59.47 ± 1.21 |
0.32 ± 0.62 / 33.39 ± 0.28 |
55.28 ± 0.62 / 63.41 ± 0.55 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| mideind/IceBERT-xlmr-ic3 |
278 |
250 |
512 |
True |
11,004 ± 2,244 / 2,324 ± 761 |
2.50 |
70.57 ± 1.07 / 70.41 ± 0.93 |
66.01 ± 1.43 / 57.28 ± 0.85 |
10.20 ± 5.38 / 50.80 ± 4.15 |
30.71 ± 0.94 / 36.08 ± 0.92 |
12.7.0 |
12.7.0 |
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 |
2.50 |
66.50 ± 1.49 / 59.99 ± 1.40 |
72.19 ± 0.71 / 67.88 ± 2.34 |
28.75 ± 5.58 / 63.30 ± 2.60 |
15.91 ± 0.87 / 23.08 ± 0.95 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) |
7111 |
64 |
2048 |
True |
2,351 ± 448 / 707 ± 216 |
2.52 |
28.73 ± 3.63 / 20.43 ± 3.72 |
77.47 ± 1.36 / 78.60 ± 1.25 |
8.78 ± 2.01 / 42.28 ± 3.17 |
50.57 ± 0.94 / 56.51 ± 0.79 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) |
6738 |
32 |
4096 |
False |
2,643 ± 455 / 800 ± 247 |
2.54 |
39.72 ± 2.82 / 29.85 ± 2.99 |
66.18 ± 3.25 / 72.00 ± 1.75 |
6.74 ± 1.66 / 45.55 ± 4.31 |
54.05 ± 0.84 / 60.90 ± 0.82 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
| norallm/normistral-7b-warm-instruct (few-shot) |
unknown |
33 |
2048 |
True |
6,194 ± 949 / 1,967 ± 619 |
2.54 |
51.45 ± 3.13 / 26.49 ± 3.00 |
63.64 ± 3.74 / 65.08 ± 2.46 |
5.80 ± 1.74 / 51.04 ± 1.54 |
48.95 ± 1.00 / 57.09 ± 0.92 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| dbmdz/bert-medium-historic-multilingual-cased |
42 |
32 |
512 |
True |
24,291 ± 4,887 / 5,096 ± 1,655 |
2.55 |
66.11 ± 1.24 / 61.03 ± 1.08 |
59.66 ± 1.84 / 55.24 ± 1.32 |
26.28 ± 8.44 / 59.64 ± 5.68 |
24.36 ± 0.92 / 30.54 ± 0.96 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Qwen/Qwen1.5-4B-Chat (few-shot) |
3950 |
152 |
32768 |
False |
4,347 ± 893 / 1,135 ± 365 |
2.60 |
40.19 ± 2.97 / 31.88 ± 4.51 |
64.08 ± 2.44 / 69.62 ± 1.29 |
5.43 ± 2.02 / 38.32 ± 2.54 |
53.21 ± 1.08 / 59.57 ± 0.97 |
12.5.2 |
10.0.1 |
12.1.0 |
12.5.2 |
| birgermoell/NeuralBeagle-Flashback (few-shot, val) |
7242 |
32 |
32768 |
False |
2,904 ± 405 / 1,155 ± 349 |
2.61 |
51.73 ± 4.51 / 40.50 ± 6.05 |
36.06 ± 3.31 / 53.46 ± 1.79 |
19.42 ± 5.08 / 46.92 ± 5.36 |
59.26 ± 1.66 / 64.40 ± 1.35 |
9.3.0 |
9.3.0 |
9.3.0 |
12.5.2 |
| HPLT/gpt-13b-nordic-prerelease (few-shot) |
14030 |
131 |
4099 |
True |
3,520 ± 736 / 823 ± 273 |
2.65 |
32.19 ± 4.64 / 24.93 ± 4.09 |
72.26 ± 6.90 / 72.58 ± 5.87 |
2.39 ± 1.29 / 48.49 ± 2.46 |
48.92 ± 2.28 / 53.44 ± 2.49 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| LumiOpen/Viking-13B (few-shot) |
14030 |
131 |
4099 |
True |
3,480 ± 727 / 822 ± 274 |
2.65 |
32.30 ± 4.52 / 24.91 ± 3.98 |
72.28 ± 6.64 / 72.80 ± 5.64 |
2.46 ± 1.31 / 48.51 ± 2.46 |
48.88 ± 2.35 / 53.41 ± 2.56 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| allenai/OLMo-7B (few-shot) |
6888 |
50 |
2051 |
True |
5,403 ± 1,133 / 1,294 ± 423 |
2.65 |
37.36 ± 2.11 / 28.59 ± 3.03 |
72.08 ± 1.20 / 63.52 ± 3.36 |
-0.86 ± 1.61 / 33.84 ± 0.59 |
45.16 ± 0.96 / 51.46 ± 0.93 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking |
135 |
120 |
512 |
True |
33,753 ± 8,349 / 5,937 ± 1,946 |
2.69 |
65.50 ± 1.20 / 59.72 ± 1.22 |
68.33 ± 1.03 / 64.03 ± 2.47 |
14.81 ± 6.63 / 55.50 ± 4.28 |
16.11 ± 1.18 / 22.88 ± 1.34 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| sentence-transformers/quora-distilbert-multilingual |
135 |
120 |
512 |
True |
26,458 ± 5,992 / 5,274 ± 1,731 |
2.69 |
65.50 ± 1.20 / 59.72 ± 1.22 |
68.36 ± 1.18 / 63.94 ± 2.47 |
14.81 ± 6.63 / 55.50 ± 4.28 |
16.11 ± 1.18 / 22.88 ± 1.34 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| DDSC/roberta-base-danish |
125 |
50 |
512 |
True |
15,004 ± 2,964 / 3,290 ± 1,092 |
2.71 |
65.95 ± 1.70 / 60.53 ± 1.38 |
64.02 ± 2.78 / 62.27 ± 4.19 |
0.80 ± 0.78 / 47.24 ± 3.43 |
28.46 ± 0.90 / 33.13 ± 0.88 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/gemma-2b (few-shot) |
2506 |
256 |
8192 |
True |
6,087 ± 1,046 / 1,902 ± 563 |
2.74 |
14.67 ± 4.71 / 14.85 ± 3.77 |
75.45 ± 1.10 / 64.08 ± 1.47 |
3.82 ± 1.23 / 44.81 ± 3.55 |
51.73 ± 0.88 / 57.35 ± 0.82 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
| AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) |
20918 |
64 |
2048 |
True |
1,831 ± 587 / 268 ± 90 |
2.77 |
15.70 ± 1.54 / 14.65 ± 1.52 |
68.23 ± 3.81 / 71.17 ± 3.07 |
12.39 ± 1.39 / 50.99 ± 3.37 |
52.04 ± 0.97 / 60.86 ± 0.77 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| sarnikowski/convbert-medium-small-da-cased |
24 |
29 |
512 |
True |
13,821 ± 2,209 / 3,547 ± 1,184 |
2.80 |
58.01 ± 1.23 / 53.87 ± 1.25 |
57.67 ± 1.61 / 53.64 ± 0.68 |
13.40 ± 4.31 / 55.37 ± 2.61 |
24.92 ± 0.80 / 30.11 ± 0.83 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| ltg/norbert3-xs |
15 |
50 |
508 |
True |
14,208 ± 2,713 / 3,059 ± 1,002 |
2.81 |
67.53 ± 1.66 / 62.96 ± 1.62 |
59.27 ± 2.14 / 55.26 ± 1.73 |
2.83 ± 2.01 / 49.25 ± 1.48 |
24.11 ± 2.76 / 27.79 ± 2.63 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) |
1445 |
64 |
2048 |
True |
4,544 ± 1,000 / 1,106 ± 359 |
2.82 |
19.04 ± 2.67 / 19.98 ± 2.64 |
73.34 ± 1.34 / 68.41 ± 2.31 |
2.90 ± 1.74 / 44.43 ± 4.49 |
47.45 ± 0.58 / 54.69 ± 0.56 |
12.5.2 |
9.3.1 |
12.1.0 |
12.4.0 |
| allenai/OLMo-7B-Twin-2T (few-shot) |
6888 |
50 |
2051 |
True |
5,484 ± 1,125 / 1,317 ± 425 |
2.83 |
20.49 ± 7.78 / 19.50 ± 6.82 |
70.04 ± 2.28 / 60.77 ± 3.00 |
2.28 ± 1.77 / 36.86 ± 3.97 |
45.85 ± 1.19 / 51.08 ± 1.21 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| KBLab/albert-base-swedish-cased-alpha |
14 |
50 |
512 |
True |
15,925 ± 2,281 / 4,780 ± 1,554 |
2.87 |
47.19 ± 9.01 / 44.34 ± 8.27 |
56.57 ± 1.41 / 53.47 ± 0.84 |
20.92 ± 4.12 / 59.05 ± 1.86 |
23.86 ± 1.25 / 30.47 ± 1.51 |
0.0.0 |
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 |
2.89 |
27.07 ± 6.33 / 25.24 ± 4.89 |
61.96 ± 2.69 / 67.81 ± 2.27 |
2.65 ± 1.46 / 40.25 ± 4.08 |
46.16 ± 0.91 / 52.35 ± 0.87 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| sarnikowski/electra-small-discriminator-da-256-cased |
13 |
29 |
512 |
True |
20,340 ± 3,185 / 5,178 ± 1,700 |
2.92 |
52.79 ± 1.21 / 48.47 ± 0.71 |
57.93 ± 1.56 / 53.71 ± 0.61 |
14.72 ± 2.01 / 55.92 ± 1.11 |
20.54 ± 0.97 / 26.37 ± 0.75 |
0.0.0 |
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 |
2.93 |
21.84 ± 3.27 / 21.14 ± 3.21 |
63.60 ± 4.10 / 68.73 ± 3.10 |
0.65 ± 1.59 / 43.82 ± 3.40 |
46.51 ± 1.10 / 52.58 ± 0.98 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| google/gemma-7b-it (few-shot) |
8538 |
256 |
8192 |
False |
1,792 ± 249 / 668 ± 203 |
2.94 |
59.26 ± 2.00 / 52.73 ± 2.71 |
28.63 ± 1.24 / 50.95 ± 0.75 |
11.43 ± 1.88 / 53.31 ± 1.74 |
46.67 ± 1.97 / 53.24 ± 1.72 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| AI-Sweden-Models/gpt-sw3-1.3b (few-shot) |
1445 |
64 |
2048 |
True |
4,608 ± 988 / 1,115 ± 354 |
2.95 |
6.08 ± 5.75 / 8.77 ± 4.46 |
71.38 ± 1.76 / 73.21 ± 1.18 |
1.17 ± 1.07 / 49.78 ± 0.86 |
45.55 ± 0.85 / 51.69 ± 0.79 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) |
7111 |
64 |
2048 |
True |
2,383 ± 451 / 718 ± 221 |
2.96 |
14.58 ± 1.30 / 14.79 ± 1.27 |
56.60 ± 3.37 / 62.73 ± 3.61 |
10.92 ± 1.83 / 52.63 ± 2.98 |
50.18 ± 0.54 / 57.90 ± 0.53 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
| sarnikowski/convbert-small-da-cased |
13 |
29 |
512 |
True |
14,273 ± 2,312 / 3,555 ± 1,187 |
2.97 |
55.06 ± 0.96 / 51.37 ± 1.03 |
53.70 ± 1.46 / 51.98 ± 0.58 |
12.38 ± 3.23 / 55.18 ± 1.91 |
22.53 ± 0.86 / 27.59 ± 0.94 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| danish-foundation-models/encoder-medium-v1 |
111 |
32 |
512 |
True |
16,130 ± 2,433 / 4,566 ± 1,473 |
2.99 |
49.62 ± 2.01 / 46.05 ± 2.11 |
58.70 ± 2.54 / 58.15 ± 3.35 |
2.23 ± 2.12 / 46.43 ± 4.85 |
25.45 ± 0.75 / 30.80 ± 0.81 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| EuropeanParliament/EUBERT |
94 |
66 |
512 |
True |
20,070 ± 3,977 / 4,400 ± 1,435 |
3.01 |
38.36 ± 1.60 / 37.63 ± 1.73 |
59.00 ± 1.72 / 56.25 ± 1.72 |
19.40 ± 5.65 / 58.63 ± 3.13 |
19.23 ± 0.59 / 26.64 ± 0.90 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| Maltehb/danish-bert-botxo |
111 |
32 |
512 |
True |
16,091 ± 2,427 / 4,575 ± 1,485 |
3.01 |
50.29 ± 1.22 / 47.15 ± 1.18 |
57.42 ± 1.88 / 56.53 ± 1.66 |
4.94 ± 1.62 / 51.57 ± 1.19 |
24.16 ± 1.28 / 30.28 ± 1.18 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| norallm/normistral-7b-scratch (few-shot) |
7248 |
33 |
2048 |
True |
3,192 ± 454 / 1,198 ± 357 |
3.01 |
13.79 ± 8.46 / 14.43 ± 7.23 |
71.59 ± 2.78 / 59.82 ± 1.71 |
-0.89 ± 1.22 / 43.82 ± 3.45 |
38.33 ± 1.79 / 44.00 ± 1.70 |
10.0.0 |
10.0.0 |
10.0.0 |
10.0.0 |
| jannesg/bertsson |
124 |
50 |
512 |
True |
15,314 ± 2,786 / 3,666 ± 1,201 |
3.04 |
51.13 ± 2.13 / 46.67 ± 1.98 |
61.67 ± 1.40 / 59.12 ± 2.44 |
2.87 ± 1.53 / 48.92 ± 2.37 |
17.24 ± 1.13 / 25.10 ± 1.06 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-6.7b (few-shot) |
7111 |
64 |
2048 |
True |
2,285 ± 443 / 671 ± 205 |
3.07 |
18.83 ± 6.41 / 17.59 ± 4.55 |
53.68 ± 10.39 / 58.92 ± 10.87 |
3.49 ± 2.20 / 46.13 ± 4.13 |
49.81 ± 0.70 / 55.99 ± 0.69 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| jannikskytt/MeDa-Bert |
111 |
32 |
511 |
True |
16,114 ± 2,429 / 4,566 ± 1,482 |
3.09 |
48.32 ± 1.62 / 45.04 ± 1.50 |
53.98 ± 2.05 / 52.94 ± 1.88 |
3.33 ± 2.12 / 51.06 ± 1.15 |
23.15 ± 2.61 / 29.17 ± 2.19 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 |
135 |
120 |
512 |
True |
34,042 ± 8,482 / 5,951 ± 1,950 |
3.09 |
49.86 ± 1.85 / 44.53 ± 1.58 |
60.06 ± 1.30 / 55.65 ± 1.34 |
3.18 ± 1.63 / 48.38 ± 1.42 |
16.08 ± 2.60 / 23.46 ± 3.10 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Maltehb/aelaectra-danish-electra-small-cased |
14 |
32 |
128 |
True |
4,593 ± 114 / 3,034 ± 973 |
3.12 |
57.82 ± 1.40 / 54.55 ± 1.33 |
55.68 ± 1.09 / 52.81 ± 0.44 |
19.26 ± 1.80 / 58.62 ± 1.22 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
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 |
3.13 |
51.67 ± 1.46 / 53.62 ± 1.02 |
62.71 ± 0.81 / 57.24 ± 1.73 |
2.32 ± 1.83 / 48.77 ± 1.62 |
8.76 ± 1.03 / 17.62 ± 1.24 |
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 |
3.13 |
51.67 ± 1.46 / 53.62 ± 1.02 |
63.04 ± 0.70 / 56.50 ± 1.19 |
2.32 ± 1.83 / 48.77 ± 1.62 |
8.93 ± 1.00 / 17.75 ± 1.16 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) |
1837 |
152 |
32768 |
False |
8,304 ± 1,846 / 1,933 ± 617 |
3.14 |
20.94 ± 3.73 / 18.26 ± 2.84 |
52.54 ± 3.33 / 60.44 ± 3.13 |
0.34 ± 1.22 / 36.61 ± 1.57 |
43.55 ± 1.14 / 50.53 ± 1.40 |
12.5.2 |
11.0.0 |
12.1.0 |
12.5.0 |
| Qwen/Qwen1.5-1.8B (few-shot) |
1837 |
152 |
32768 |
True |
5,666 ± 1,328 / 1,256 ± 408 |
3.16 |
18.01 ± 6.41 / 18.55 ± 4.65 |
51.91 ± 4.78 / 59.44 ± 4.65 |
1.49 ± 1.95 / 40.76 ± 4.07 |
44.83 ± 0.63 / 51.87 ± 0.72 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
| dbmdz/bert-mini-historic-multilingual-cased |
12 |
32 |
512 |
True |
47,122 ± 9,661 / 9,714 ± 3,152 |
3.16 |
50.07 ± 4.14 / 47.04 ± 3.83 |
56.10 ± 1.85 / 52.92 ± 0.76 |
5.05 ± 2.27 / 51.08 ± 1.44 |
14.49 ± 1.13 / 22.34 ± 1.16 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| mhenrichsen/danskgpt-tiny-chat (few-shot) |
1100 |
32 |
2048 |
False |
1,745 ± 978 / 686 ± 159 |
3.16 |
27.31 ± 4.23 / 26.33 ± 4.40 |
45.94 ± 12.82 / 55.94 ± 8.25 |
-0.97 ± 1.64 / 36.69 ± 2.34 |
35.57 ± 2.45 / 41.66 ± 2.41 |
9.1.2 |
9.1.2 |
9.1.2 |
12.4.0 |
| NbAiLab/nb-gpt-j-6B-alpaca (few-shot) |
6055 |
50 |
1024 |
False |
2,607 ± 592 / 680 ± 208 |
3.20 |
13.28 ± 4.32 / 13.40 ± 2.95 |
60.17 ± 8.39 / 65.99 ± 4.66 |
1.52 ± 1.94 / 45.19 ± 3.80 |
37.23 ± 1.07 / 46.83 ± 0.82 |
9.3.1 |
10.0.1 |
10.0.1 |
12.4.0 |
| google/gemma-2b-it (few-shot) |
2506 |
256 |
8192 |
False |
6,471 ± 1,142 / 1,961 ± 584 |
3.20 |
33.51 ± 2.12 / 23.48 ± 2.69 |
43.97 ± 1.64 / 57.41 ± 1.18 |
0.53 ± 1.09 / 39.60 ± 1.99 |
39.39 ± 1.04 / 47.28 ± 1.02 |
12.5.2 |
12.1.0 |
12.1.0 |
12.4.0 |
| jjzha/dajobbert-base-uncased |
110 |
32 |
512 |
True |
16,243 ± 2,428 / 4,593 ± 1,484 |
3.24 |
42.99 ± 1.57 / 39.98 ± 1.42 |
55.49 ± 1.28 / 55.99 ± 2.15 |
4.69 ± 2.28 / 51.01 ± 1.58 |
14.22 ± 1.90 / 20.83 ± 1.46 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) |
471 |
64 |
2048 |
True |
5,855 ± 1,373 / 1,223 ± 391 |
3.27 |
14.84 ± 1.63 / 15.90 ± 1.71 |
59.00 ± 3.60 / 54.09 ± 1.46 |
0.06 ± 1.21 / 34.76 ± 1.15 |
34.37 ± 1.36 / 40.44 ± 1.53 |
12.5.2 |
9.3.2 |
12.1.0 |
12.4.0 |
| Maltehb/aelaectra-danish-electra-small-uncased |
14 |
32 |
128 |
True |
5,995 ± 135 / 3,839 ± 1,247 |
3.28 |
39.17 ± 4.06 / 36.74 ± 3.78 |
57.71 ± 1.40 / 53.54 ± 0.59 |
17.10 ± 2.57 / 57.41 ± 1.03 |
0.11 ± 0.11 / 0.13 ± 0.12 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Qwen/Qwen1.5-4B (few-shot) |
3950 |
152 |
32768 |
True |
3,248 ± 739 / 761 ± 252 |
3.40 |
37.26 ± 4.28 / 29.89 ± 5.96 |
5.20 ± 7.35 / 30.65 ± 4.97 |
1.85 ± 1.54 / 33.71 ± 0.46 |
54.15 ± 0.58 / 60.15 ± 0.59 |
12.5.2 |
9.3.2 |
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 |
3.40 |
22.38 ± 3.00 / 22.09 ± 2.85 |
31.11 ± 12.17 / 36.84 ± 11.52 |
0.09 ± 0.67 / 33.42 ± 0.30 |
44.36 ± 1.34 / 50.14 ± 1.15 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| AI-Sweden-Models/gpt-sw3-356m (few-shot) |
471 |
64 |
2048 |
True |
5,758 ± 1,348 / 1,215 ± 391 |
3.50 |
23.77 ± 3.70 / 23.06 ± 3.46 |
34.29 ± 11.64 / 36.76 ± 7.46 |
1.57 ± 1.70 / 40.84 ± 1.99 |
33.70 ± 1.46 / 38.82 ± 1.54 |
9.3.1 |
9.3.1 |
9.3.2 |
12.5.1 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) |
620 |
152 |
32768 |
False |
11,740 ± 3,000 / 2,209 ± 721 |
3.50 |
18.57 ± 4.62 / 17.69 ± 4.61 |
40.23 ± 5.86 / 49.01 ± 4.77 |
0.21 ± 1.06 / 39.60 ± 3.61 |
29.49 ± 2.47 / 35.01 ± 2.72 |
12.5.2 |
11.0.0 |
12.1.0 |
12.4.0 |
| 3ebdola/Dialectal-Arabic-XLM-R-Base |
278 |
250 |
512 |
True |
12,783 ± 2,537 / 2,712 ± 885 |
3.52 |
42.78 ± 3.26 / 40.46 ± 3.04 |
44.95 ± 2.30 / 48.17 ± 1.06 |
1.43 ± 1.34 / 48.66 ± 2.45 |
8.71 ± 2.58 / 16.77 ± 2.50 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| mhenrichsen/danskgpt-tiny (few-shot) |
1100 |
32 |
2048 |
True |
8,597 ± 1,983 / 1,926 ± 600 |
3.55 |
23.92 ± 6.88 / 22.42 ± 6.73 |
31.93 ± 14.68 / 43.80 ± 8.79 |
0.46 ± 1.91 / 43.45 ± 3.64 |
30.81 ± 2.73 / 35.67 ± 2.95 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
| allenai/OLMo-1B (few-shot) |
1177 |
50 |
2051 |
True |
8,536 ± 1,926 / 1,940 ± 619 |
3.57 |
29.39 ± 3.08 / 29.93 ± 3.14 |
38.95 ± 11.78 / 43.61 ± 8.46 |
-1.35 ± 1.76 / 40.70 ± 4.25 |
17.85 ± 3.77 / 20.30 ± 4.04 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
| Qwen/Qwen1.5-0.5B (few-shot) |
620 |
152 |
32768 |
True |
11,371 ± 2,924 / 2,122 ± 692 |
3.58 |
28.96 ± 2.39 / 26.49 ± 3.14 |
26.58 ± 5.12 / 28.64 ± 5.35 |
-1.88 ± 1.46 / 35.45 ± 2.92 |
34.59 ± 1.06 / 40.95 ± 1.11 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
| dbmdz/bert-tiny-historic-multilingual-cased |
5 |
32 |
512 |
True |
78,027 ± 15,466 / 17,064 ± 5,335 |
3.58 |
26.87 ± 2.26 / 25.42 ± 2.14 |
57.41 ± 1.89 / 53.50 ± 0.75 |
-1.06 ± 1.33 / 48.72 ± 0.87 |
5.54 ± 1.44 / 10.83 ± 2.62 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| RabotaRu/HRBert-mini |
80 |
200 |
512 |
True |
54,951 ± 11,500 / 11,401 ± 3,819 |
3.70 |
24.61 ± 1.58 / 23.05 ± 1.43 |
52.31 ± 1.22 / 51.51 ± 0.49 |
1.32 ± 1.87 / 46.80 ± 4.29 |
2.86 ± 0.73 / 8.44 ± 2.01 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| alexanderfalk/danbert-small-cased |
83 |
52 |
512 |
True |
30,013 ± 4,309 / 8,840 ± 2,859 |
3.71 |
22.47 ± 1.55 / 20.74 ± 1.42 |
53.88 ± 1.97 / 52.30 ± 1.04 |
1.55 ± 1.62 / 44.06 ± 3.56 |
1.12 ± 0.85 / 3.07 ± 1.91 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| fresh-electra-small |
14 |
31 |
512 |
True |
7,840 ± 1,538 / 3,024 ± 438 |
3.84 |
10.54 ± 1.12 / 9.71 ± 1.00 |
55.54 ± 2.75 / 52.75 ± 1.09 |
-0.15 ± 0.52 / 35.33 ± 3.00 |
0.02 ± 0.03 / 0.04 ± 0.05 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| fresh-xlm-roberta-base |
278 |
250 |
512 |
True |
2,214 ± 94 / 1,494 ± 229 |
3.86 |
11.91 ± 3.04 / 11.31 ± 2.90 |
51.11 ± 5.32 / 50.09 ± 3.33 |
0.86 ± 0.82 / 39.16 ± 3.63 |
2.00 ± 0.63 / 7.20 ± 1.68 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) |
186 |
64 |
2048 |
True |
7,717 ± 1,553 / 2,013 ± 625 |
4.07 |
23.05 ± 2.31 / 24.35 ± 1.99 |
12.47 ± 7.10 / 23.03 ± 8.78 |
0.08 ± 0.16 / 33.34 ± 0.30 |
20.43 ± 2.69 / 24.25 ± 2.67 |
9.3.2 |
9.3.2 |
11.0.0 |
12.4.0 |
| NbAiLab/nb-gpt-j-6B-v2 (few-shot) |
6051 |
50 |
1024 |
False |
2,556 ± 580 / 681 ± 214 |
4.11 |
0.31 ± 0.55 / 0.29 ± 0.50 |
27.42 ± 12.16 / 38.74 ± 10.05 |
0.07 ± 1.06 / 35.80 ± 1.73 |
17.82 ± 11.21 / 31.12 ± 8.39 |
9.3.1 |
10.0.1 |
11.0.0 |
12.5.1 |
| NbAiLab/nb-gpt-j-6B@sharded (few-shot) |
unknown |
50 |
1024 |
True |
2,630 ± 605 / 684 ± 217 |
4.19 |
0.01 ± 0.02 / 0.11 ± 0.12 |
33.50 ± 13.13 / 39.30 ± 11.93 |
-0.02 ± 0.60 / 34.92 ± 2.99 |
4.79 ± 3.55 / 18.06 ± 2.80 |
9.3.1 |
10.0.1 |
10.0.1 |
12.5.1 |
| RJuro/kanelsnegl-v0.1 (few-shot) |
7242 |
32 |
512 |
True |
9,757 ± 2,047 / 2,200 ± 705 |
4.27 |
0.00 ± 0.00 / 0.00 ± 0.00 |
34.63 ± 9.69 / 40.92 ± 6.88 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 8.92 ± 2.90 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
| AI-Sweden-Models/gpt-sw3-126m (few-shot) |
186 |
64 |
2048 |
True |
8,958 ± 1,815 / 2,240 ± 696 |
4.32 |
5.66 ± 4.11 / 8.37 ± 3.24 |
8.15 ± 8.87 / 24.31 ± 7.12 |
-0.81 ± 1.16 / 36.81 ± 2.47 |
16.40 ± 2.88 / 19.18 ± 3.18 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
| RJuro/kanelsnegl-v0.2 (few-shot) |
7242 |
32 |
512 |
True |
1,373 ± 120 / 709 ± 172 |
4.38 |
0.00 ± 0.00 / 0.00 ± 0.00 |
28.62 ± 12.67 / 35.36 ± 8.35 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 19.59 ± 6.84 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| NorGLM/NorGPT-369M (few-shot) |
unknown |
64 |
1024 |
True |
19,896 ± 5,099 / 3,848 ± 1,251 |
4.60 |
1.47 ± 1.90 / 1.32 ± 1.69 |
5.50 ± 4.49 / 28.77 ± 3.76 |
-2.19 ± 1.29 / 40.52 ± 3.02 |
0.10 ± 0.06 / 4.36 ± 0.44 |
12.5.2 |
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 |
4.66 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 19.32 ± 0.16 |
0.49 ± 1.29 / 39.12 ± 3.92 |
6.24 ± 3.13 / 7.85 ± 3.67 |
9.3.1 |
10.0.1 |
11.0.0 |
12.5.1 |
| peter-sk/gpt-neox-da (few-shot) |
1515 |
50 |
1024 |
True |
6,025 ± 1,442 / 1,342 ± 431 |
4.70 |
0.26 ± 0.16 / 0.26 ± 0.14 |
4.75 ± 2.54 / 27.85 ± 1.59 |
-0.60 ± 1.56 / 40.53 ± 2.93 |
0.06 ± 0.09 / 1.07 ± 0.35 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| Sigurdur/qa-icebreaker (few-shot) |
110 |
32 |
1024 |
False |
44,889 ± 6,944 / 13,506 ± 4,256 |
4.80 |
0.00 ± 0.00 / 0.00 ± 0.00 |
-0.10 ± 1.04 / 22.69 ± 0.52 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 0.02 ± 0.01 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| Sigurdur/icebreaker (few-shot) |
110 |
32 |
1024 |
False |
48,619 ± 7,681 / 13,831 ± 4,404 |
4.85 |
0.00 ± 0.00 / 0.00 ± 0.00 |
-3.60 ± 3.63 / 20.29 ± 1.99 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 0.05 ± 0.03 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |