| gpt-4-0613 (few-shot, val) |
unknown |
100 |
8192 |
True |
597 ± 197 / 93 ± 33 |
1.24 |
64.94 ± 1.96 / 45.76 ± 3.31 |
59.97 ± 2.65 / 73.06 ± 1.77 |
71.56 ± 2.49 / 85.36 ± 1.29 |
56.43 ± 2.98 / 68.46 ± 1.64 |
0.0.0 |
0.0.0 |
0.0.0 |
12.9.0 |
| gpt-4-1106-preview (few-shot, val) |
unknown |
100 |
128000 |
True |
576 ± 221 / 81 ± 28 |
1.26 |
66.80 ± 3.01 / 45.69 ± 2.85 |
61.62 ± 2.17 / 73.99 ± 1.48 |
66.84 ± 3.27 / 82.79 ± 1.86 |
56.85 ± 2.62 / 68.83 ± 1.50 |
12.10.0 |
12.10.2 |
12.10.2 |
12.10.0 |
| syvai/danskgpt-chat-llama3-70b (few-shot, val) |
70554 |
128 |
8192 |
True |
1,283 ± 279 / 291 ± 92 |
1.32 |
65.40 ± 1.90 / 54.29 ± 1.61 |
62.78 ± 3.01 / 75.05 ± 1.92 |
57.88 ± 3.35 / 78.50 ± 3.07 |
62.24 ± 2.43 / 68.23 ± 1.77 |
12.10.0 |
12.10.0 |
12.10.0 |
12.10.0 |
| KennethEnevoldsen/dfm-sentence-encoder-large-2 |
355 |
50 |
512 |
True |
6,569 ± 1,320 / 1,492 ± 476 |
1.36 |
75.30 ± 1.02 / 70.13 ± 1.50 |
55.12 ± 1.58 / 69.99 ± 1.09 |
76.34 ± 2.35 / 87.56 ± 1.48 |
45.15 ± 3.33 / 50.82 ± 3.13 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/roberta-large-1160k |
355 |
50 |
512 |
True |
14,014 ± 2,384 / 3,625 ± 1,146 |
1.38 |
74.16 ± 1.73 / 70.93 ± 1.67 |
51.20 ± 1.67 / 66.62 ± 1.58 |
73.87 ± 2.13 / 86.61 ± 1.17 |
49.34 ± 1.14 / 55.06 ± 1.21 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| KennethEnevoldsen/dfm-sentence-encoder-large-1 |
355 |
50 |
512 |
True |
6,245 ± 1,260 / 1,416 ± 453 |
1.39 |
74.99 ± 1.65 / 70.34 ± 1.50 |
53.85 ± 1.39 / 68.94 ± 1.19 |
75.71 ± 1.95 / 87.29 ± 1.14 |
44.85 ± 4.12 / 50.40 ± 4.01 |
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 |
1.39 |
74.60 ± 1.94 / 69.95 ± 2.01 |
51.42 ± 2.30 / 67.07 ± 1.97 |
76.11 ± 1.17 / 87.41 ± 0.67 |
47.42 ± 1.86 / 53.06 ± 1.68 |
0.0.0 |
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 |
1.40 |
63.62 ± 3.74 / 53.29 ± 3.38 |
60.19 ± 3.31 / 73.13 ± 2.17 |
50.07 ± 5.86 / 72.94 ± 4.16 |
60.97 ± 2.76 / 66.71 ± 2.27 |
12.7.0 |
12.6.1 |
12.7.0 |
12.7.0 |
| AI-Sweden-Models/Llama-3-8B-instruct (few-shot) |
8030 |
128 |
8192 |
False |
4,314 ± 1,202 / 776 ± 245 |
1.44 |
58.60 ± 1.62 / 47.13 ± 1.62 |
54.96 ± 1.30 / 68.41 ± 1.45 |
70.55 ± 1.00 / 85.14 ± 0.52 |
60.95 ± 0.31 / 65.86 ± 0.36 |
13.0.0 |
12.10.4 |
12.10.4 |
12.10.4 |
| AI-Sweden-Models/roberta-large-1350k |
355 |
50 |
512 |
True |
5,744 ± 969 / 1,539 ± 492 |
1.44 |
75.22 ± 1.64 / 71.57 ± 1.50 |
49.94 ± 3.25 / 65.66 ± 2.73 |
72.59 ± 1.38 / 85.58 ± 0.97 |
48.97 ± 1.22 / 54.79 ± 1.18 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| gpt-4o-2024-05-13 (few-shot, val) |
unknown |
200 |
128000 |
True |
916 ± 329 / 114 ± 38 |
1.46 |
71.15 ± 2.89 / 52.24 ± 3.76 |
49.42 ± 3.29 / 61.74 ± 2.59 |
64.59 ± 2.97 / 79.93 ± 1.88 |
57.35 ± 2.51 / 67.87 ± 1.75 |
12.10.0 |
12.10.2 |
12.10.2 |
12.10.0 |
| ltg/norbert3-large |
354 |
50 |
508 |
True |
5,048 ± 824 / 1,354 ± 429 |
1.52 |
73.62 ± 1.06 / 68.91 ± 1.04 |
48.29 ± 2.60 / 64.67 ± 2.10 |
71.55 ± 1.81 / 85.17 ± 1.13 |
48.59 ± 1.35 / 53.54 ± 1.23 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/gemma-2-27b-it (few-shot) |
27227 |
256 |
8193 |
True |
1,516 ± 257 / 480 ± 148 |
1.53 |
59.94 ± 1.58 / 38.00 ± 1.88 |
59.06 ± 0.91 / 72.86 ± 0.56 |
58.57 ± 2.19 / 78.63 ± 1.31 |
57.48 ± 0.75 / 65.60 ± 0.65 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| NbAiLab/nb-bert-large |
355 |
50 |
512 |
True |
6,343 ± 1,236 / 1,444 ± 456 |
1.55 |
70.38 ± 1.58 / 65.70 ± 1.23 |
49.07 ± 1.23 / 65.38 ± 1.16 |
72.02 ± 2.15 / 85.74 ± 1.17 |
45.72 ± 1.86 / 51.32 ± 1.81 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| vesteinn/DanskBERT |
124 |
50 |
512 |
True |
15,749 ± 2,665 / 4,014 ± 1,281 |
1.56 |
72.55 ± 2.08 / 69.31 ± 1.93 |
52.86 ± 1.08 / 68.19 ± 1.02 |
75.20 ± 1.73 / 86.99 ± 1.17 |
37.65 ± 0.96 / 43.48 ± 1.14 |
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 |
1.59 |
69.50 ± 1.78 / 65.03 ± 1.31 |
55.07 ± 1.53 / 69.43 ± 1.47 |
57.67 ± 2.56 / 78.48 ± 1.32 |
46.71 ± 1.25 / 52.84 ± 1.18 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| gpt-3.5-turbo-0613 (few-shot, val) |
unknown |
100 |
4094 |
True |
921 ± 293 / 113 ± 37 |
1.61 |
61.31 ± 2.34 / 49.86 ± 2.18 |
52.52 ± 2.05 / 68.10 ± 1.35 |
57.63 ± 2.80 / 77.01 ± 1.83 |
57.03 ± 1.95 / 65.51 ± 1.48 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
| google/rembert |
576 |
250 |
256 |
True |
11,736 ± 2,822 / 2,102 ± 677 |
1.63 |
70.19 ± 3.34 / 66.64 ± 2.68 |
50.19 ± 1.82 / 66.32 ± 1.50 |
69.72 ± 2.25 / 84.30 ± 1.64 |
39.85 ± 8.97 / 44.44 ± 9.99 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| gpt-3.5-turbo-0613 (few-shot) |
unknown |
100 |
4096 |
True |
837 ± 294 / 126 ± 43 |
1.67 |
59.40 ± 1.99 / 43.10 ± 1.97 |
51.80 ± 1.29 / 68.17 ± 0.86 |
54.22 ± 1.49 / 74.13 ± 1.14 |
56.55 ± 1.12 / 65.84 ± 0.86 |
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 |
1.72 |
73.28 ± 1.37 / 68.37 ± 1.73 |
52.08 ± 1.06 / 67.98 ± 0.77 |
67.99 ± 2.28 / 83.02 ± 1.44 |
32.39 ± 0.87 / 37.27 ± 0.79 |
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 |
1.72 |
72.90 ± 2.53 / 67.41 ± 2.19 |
43.38 ± 3.20 / 60.05 ± 4.33 |
67.05 ± 1.41 / 83.18 ± 0.80 |
42.15 ± 2.12 / 47.97 ± 1.99 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| CohereForAI/aya-expanse-32b (few-shot) |
32296 |
256 |
8193 |
False |
2,288 ± 337 / 791 ± 252 |
1.73 |
61.15 ± 3.15 / 40.96 ± 2.19 |
56.39 ± 0.85 / 69.83 ± 1.08 |
37.75 ± 1.59 / 67.36 ± 1.49 |
58.09 ± 1.26 / 65.87 ± 0.68 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| FacebookAI/xlm-roberta-large |
560 |
250 |
512 |
True |
17,897 ± 3,921 / 3,463 ± 1,141 |
1.73 |
72.74 ± 2.58 / 67.15 ± 2.53 |
48.33 ± 4.44 / 63.94 ± 5.16 |
57.30 ± 14.90 / 76.82 ± 8.67 |
43.57 ± 3.28 / 49.29 ± 3.35 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| KennethEnevoldsen/dfm-sentence-encoder-medium-3 |
178 |
120 |
512 |
True |
14,050 ± 3,278 / 2,749 ± 894 |
1.73 |
71.21 ± 1.46 / 67.27 ± 1.78 |
47.55 ± 1.25 / 64.66 ± 0.96 |
68.72 ± 1.40 / 83.85 ± 0.85 |
38.33 ± 1.25 / 43.90 ± 1.45 |
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 |
1.75 |
58.06 ± 2.48 / 50.10 ± 2.23 |
53.24 ± 4.04 / 67.81 ± 2.74 |
39.71 ± 4.96 / 65.90 ± 3.81 |
62.51 ± 1.48 / 67.47 ± 1.39 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| 152334H/miqu-1-70b-sf (few-shot, val) |
68977 |
32 |
32764 |
True |
2,126 ± 676 / 319 ± 104 |
1.77 |
56.96 ± 2.39 / 45.84 ± 1.75 |
55.11 ± 4.11 / 69.60 ± 2.69 |
42.64 ± 3.22 / 71.04 ± 1.56 |
54.58 ± 2.19 / 64.12 ± 1.41 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| google/gemma-2-9b-it (few-shot) |
9242 |
256 |
8193 |
True |
2,062 ± 397 / 589 ± 178 |
1.78 |
49.05 ± 2.41 / 30.91 ± 2.53 |
52.26 ± 1.31 / 64.13 ± 1.93 |
58.38 ± 1.21 / 78.98 ± 0.68 |
55.34 ± 0.82 / 64.41 ± 0.42 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| NbAiLab/nb-bert-base |
178 |
120 |
512 |
True |
14,050 ± 3,222 / 2,727 ± 886 |
1.80 |
70.36 ± 1.61 / 66.92 ± 1.70 |
46.32 ± 1.22 / 64.13 ± 0.85 |
66.41 ± 1.89 / 82.44 ± 1.42 |
36.42 ± 1.11 / 41.53 ± 1.29 |
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 |
1.81 |
72.16 ± 2.09 / 68.01 ± 1.69 |
51.70 ± 1.98 / 67.54 ± 1.47 |
62.03 ± 11.56 / 80.01 ± 5.70 |
29.95 ± 2.38 / 35.36 ± 1.79 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) |
70554 |
128 |
8192 |
True |
1,673 ± 583 / 275 ± 85 |
1.82 |
63.10 ± 2.12 / 55.10 ± 1.44 |
53.09 ± 3.85 / 68.18 ± 2.27 |
40.98 ± 4.46 / 69.10 ± 2.72 |
51.13 ± 1.89 / 63.12 ± 1.61 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| pere/roberta-debug-8 |
278 |
250 |
512 |
True |
15,103 ± 2,954 / 3,356 ± 1,090 |
1.82 |
71.34 ± 1.56 / 66.53 ± 1.53 |
49.77 ± 0.92 / 66.38 ± 0.56 |
64.31 ± 2.24 / 80.70 ± 1.53 |
31.86 ± 1.88 / 37.00 ± 1.79 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| NbAiLab/nb-sbert-base |
178 |
120 |
512 |
True |
17,757 ± 3,883 / 3,864 ± 1,237 |
1.83 |
70.12 ± 1.61 / 65.80 ± 1.43 |
47.83 ± 1.05 / 65.23 ± 0.75 |
63.25 ± 2.38 / 80.82 ± 1.42 |
36.51 ± 2.05 / 41.01 ± 2.35 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| vesteinn/ScandiBERT-no-faroese |
124 |
50 |
512 |
True |
15,436 ± 2,820 / 3,704 ± 1,187 |
1.84 |
69.79 ± 2.03 / 65.20 ± 1.94 |
47.73 ± 1.45 / 64.85 ± 1.13 |
68.28 ± 1.77 / 83.52 ± 1.02 |
31.90 ± 2.50 / 37.07 ± 2.36 |
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 |
1.85 |
68.46 ± 2.31 / 64.34 ± 2.02 |
50.48 ± 0.68 / 66.71 ± 0.40 |
64.34 ± 2.43 / 80.92 ± 1.67 |
30.30 ± 1.40 / 35.30 ± 1.16 |
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 |
1.85 |
69.17 ± 2.07 / 65.80 ± 1.78 |
48.03 ± 0.74 / 65.34 ± 0.40 |
55.31 ± 2.29 / 76.29 ± 1.57 |
42.34 ± 3.05 / 47.57 ± 3.10 |
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 |
1.85 |
69.65 ± 2.04 / 65.80 ± 1.79 |
49.18 ± 1.55 / 65.94 ± 1.28 |
65.45 ± 1.97 / 81.55 ± 1.33 |
32.40 ± 2.41 / 37.33 ± 2.34 |
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 |
1.88 |
68.77 ± 2.07 / 64.77 ± 1.86 |
49.66 ± 0.99 / 66.21 ± 0.72 |
60.13 ± 13.57 / 78.92 ± 6.96 |
32.60 ± 0.75 / 37.37 ± 0.72 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| setu4993/LaBSE |
471 |
501 |
512 |
True |
25,418 ± 6,435 / 4,536 ± 1,452 |
1.89 |
71.24 ± 1.63 / 66.41 ± 1.64 |
46.50 ± 1.57 / 64.31 ± 1.21 |
52.92 ± 4.42 / 75.11 ± 3.22 |
40.08 ± 1.22 / 45.40 ± 1.14 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| intfloat/multilingual-e5-large-instruct |
560 |
250 |
514 |
True |
5,947 ± 1,301 / 1,129 ± 374 |
1.91 |
69.86 ± 1.64 / 65.30 ± 1.46 |
55.45 ± 1.57 / 69.74 ± 1.66 |
31.14 ± 18.61 / 63.23 ± 10.14 |
45.51 ± 2.60 / 52.75 ± 1.79 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| intfloat/multilingual-e5-base |
278 |
250 |
512 |
True |
14,965 ± 2,890 / 3,322 ± 1,074 |
1.92 |
68.70 ± 2.40 / 64.05 ± 2.19 |
49.88 ± 1.21 / 66.06 ± 1.12 |
44.20 ± 2.01 / 70.33 ± 1.04 |
39.90 ± 1.37 / 45.91 ± 1.20 |
12.6.1 |
0.0.0 |
0.0.0 |
0.0.0 |
| ltg/norbert3-base |
124 |
50 |
508 |
True |
11,405 ± 1,970 / 2,856 ± 917 |
1.94 |
73.26 ± 1.37 / 67.83 ± 1.48 |
43.94 ± 1.37 / 61.91 ± 0.97 |
51.62 ± 15.51 / 73.99 ± 9.26 |
40.70 ± 0.86 / 45.68 ± 0.80 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| mhenrichsen/danskgpt-chat-v2.1 (few-shot) |
unknown |
32 |
32768 |
True |
5,085 ± 998 / 1,306 ± 404 |
1.99 |
51.08 ± 1.60 / 35.83 ± 1.84 |
54.69 ± 0.99 / 69.50 ± 0.93 |
30.95 ± 1.48 / 62.15 ± 1.83 |
56.56 ± 0.76 / 64.32 ± 0.40 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
| pere/roberta-base-exp-32B |
278 |
250 |
512 |
True |
15,103 ± 2,982 / 3,357 ± 1,081 |
2.00 |
71.81 ± 1.72 / 66.85 ± 1.93 |
47.83 ± 1.22 / 64.90 ± 0.81 |
54.99 ± 11.90 / 75.82 ± 5.70 |
29.92 ± 0.98 / 34.74 ± 0.91 |
0.0.0 |
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 |
2.02 |
53.20 ± 1.97 / 32.89 ± 2.00 |
51.75 ± 1.18 / 67.38 ± 0.95 |
32.72 ± 1.79 / 62.53 ± 2.00 |
56.44 ± 0.99 / 65.36 ± 0.51 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| pere/roberta-base-exp-32 |
278 |
250 |
512 |
True |
15,081 ± 2,950 / 3,365 ± 1,092 |
2.02 |
71.90 ± 1.08 / 67.25 ± 1.47 |
51.33 ± 1.24 / 67.04 ± 1.22 |
44.45 ± 19.17 / 70.51 ± 10.21 |
32.51 ± 0.79 / 37.00 ± 0.78 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| skole-gpt-mixtral (few-shot) |
unknown |
32 |
32768 |
False |
3,583 ± 977 / 686 ± 231 |
2.03 |
49.17 ± 2.72 / 34.74 ± 2.27 |
51.51 ± 1.63 / 66.73 ± 1.63 |
32.04 ± 2.30 / 64.63 ± 1.42 |
58.52 ± 0.97 / 66.15 ± 0.51 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| mistralai/Mistral-Nemo-Instruct-2407 (few-shot) |
12248 |
131 |
1024001 |
True |
7,095 ± 2,193 / 1,063 ± 344 |
2.05 |
53.95 ± 2.29 / 34.84 ± 2.23 |
48.97 ± 1.81 / 64.19 ± 1.99 |
31.78 ± 4.52 / 61.53 ± 5.44 |
56.44 ± 1.24 / 65.53 ± 1.09 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| RJuro/munin-neuralbeagle-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,493 ± 466 / 773 ± 243 |
2.08 |
51.44 ± 3.28 / 41.38 ± 2.79 |
54.91 ± 2.59 / 67.84 ± 2.53 |
22.77 ± 3.96 / 52.29 ± 3.81 |
56.51 ± 1.80 / 64.01 ± 1.12 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| four-two-labs/orpo-llama-3-swe (few-shot) |
8030 |
128 |
8192 |
False |
4,974 ± 1,208 / 1,032 ± 342 |
2.08 |
46.75 ± 2.79 / 29.40 ± 2.22 |
51.73 ± 1.40 / 66.43 ± 1.93 |
24.73 ± 4.78 / 53.98 ± 6.10 |
59.97 ± 1.27 / 65.74 ± 0.76 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| merge-crew/da-sv-slerp (few-shot, val) |
7242 |
32 |
32768 |
True |
2,467 ± 469 / 762 ± 244 |
2.11 |
45.94 ± 3.62 / 35.68 ± 3.35 |
51.75 ± 4.52 / 62.28 ± 4.29 |
28.04 ± 3.83 / 58.31 ± 5.00 |
57.65 ± 1.66 / 62.03 ± 1.50 |
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 |
2.11 |
46.06 ± 3.28 / 35.43 ± 3.06 |
51.51 ± 4.23 / 61.68 ± 4.43 |
27.68 ± 4.25 / 57.59 ± 5.15 |
57.78 ± 1.43 / 62.26 ± 1.36 |
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 |
2.13 |
50.40 ± 2.92 / 38.57 ± 2.82 |
52.30 ± 2.65 / 64.19 ± 2.60 |
21.30 ± 3.52 / 47.78 ± 4.14 |
58.17 ± 1.71 / 63.79 ± 1.42 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| meta-llama/Meta-Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,687 ± 1,121 / 967 ± 313 |
2.13 |
46.31 ± 3.22 / 29.09 ± 2.52 |
51.29 ± 1.47 / 66.35 ± 1.70 |
25.70 ± 4.59 / 55.65 ± 5.87 |
59.79 ± 1.21 / 65.44 ± 0.76 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| syvai/llama3-da-base (few-shot) |
8030 |
128 |
8192 |
True |
3,191 ± 1,053 / 446 ± 147 |
2.13 |
49.97 ± 3.05 / 34.87 ± 3.11 |
48.61 ± 1.35 / 60.53 ± 2.13 |
28.16 ± 3.02 / 59.87 ± 3.44 |
59.55 ± 1.23 / 65.50 ± 0.77 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
| meta-llama/Llama-3.1-8B (few-shot) |
8030 |
128 |
131073 |
True |
2,439 ± 459 / 703 ± 219 |
2.14 |
47.68 ± 2.50 / 32.67 ± 2.45 |
49.71 ± 1.43 / 64.00 ± 1.96 |
25.48 ± 2.83 / 58.45 ± 2.63 |
60.31 ± 1.24 / 65.79 ± 0.84 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
| timpal0l/BeagleCatMunin (few-shot, val) |
7242 |
32 |
32768 |
False |
2,495 ± 458 / 775 ± 244 |
2.14 |
47.62 ± 3.01 / 36.77 ± 2.96 |
54.73 ± 3.20 / 68.74 ± 2.21 |
21.80 ± 4.54 / 51.07 ± 4.11 |
57.26 ± 1.76 / 63.60 ± 1.40 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| ltg/norbert3-small |
41 |
50 |
508 |
True |
13,515 ± 2,514 / 3,042 ± 1,004 |
2.15 |
67.89 ± 2.14 / 64.13 ± 1.94 |
39.34 ± 2.85 / 58.37 ± 3.66 |
50.90 ± 1.26 / 74.15 ± 0.81 |
34.82 ± 1.33 / 39.58 ± 1.59 |
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 |
2.16 |
67.40 ± 1.01 / 62.44 ± 1.32 |
41.53 ± 1.91 / 59.82 ± 1.67 |
41.62 ± 10.78 / 68.99 ± 5.73 |
37.30 ± 1.59 / 42.46 ± 1.75 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/gemma-2-9b (few-shot) |
9242 |
256 |
8193 |
True |
2,038 ± 406 / 566 ± 172 |
2.16 |
44.16 ± 3.11 / 25.93 ± 1.95 |
38.84 ± 2.31 / 45.52 ± 3.32 |
43.42 ± 3.95 / 69.40 ± 3.11 |
60.11 ± 0.96 / 66.24 ± 0.78 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) |
8030 |
128 |
8192 |
False |
5,018 ± 1,216 / 996 ± 324 |
2.16 |
51.37 ± 2.38 / 37.56 ± 2.50 |
52.17 ± 3.44 / 67.14 ± 2.61 |
27.98 ± 7.51 / 60.57 ± 5.72 |
51.65 ± 0.84 / 59.94 ± 0.78 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,443 ± 458 / 750 ± 240 |
2.17 |
45.61 ± 3.06 / 35.04 ± 2.94 |
53.73 ± 3.06 / 67.51 ± 2.16 |
17.08 ± 5.36 / 52.62 ± 5.62 |
56.67 ± 1.19 / 61.18 ± 1.07 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| mistralai/Ministral-8B-Instruct-2410 (few-shot) |
8020 |
131 |
32768 |
True |
5,821 ± 1,090 / 1,561 ± 506 |
2.17 |
52.49 ± 1.89 / 38.85 ± 1.94 |
49.67 ± 1.40 / 65.83 ± 1.40 |
22.80 ± 5.31 / 55.25 ± 6.92 |
57.07 ± 0.68 / 64.46 ± 0.57 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) |
10732 |
32 |
4096 |
True |
3,780 ± 906 / 799 ± 261 |
2.18 |
58.03 ± 2.18 / 38.25 ± 2.31 |
46.63 ± 2.35 / 59.02 ± 3.07 |
15.09 ± 3.06 / 40.04 ± 1.77 |
62.15 ± 0.63 / 67.21 ± 0.55 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
| meta-llama/Llama-2-70b-chat-hf (few-shot, val) |
68977 |
32 |
4096 |
True |
1,979 ± 621 / 320 ± 105 |
2.19 |
52.22 ± 2.07 / 38.82 ± 1.90 |
50.66 ± 1.88 / 62.04 ± 2.83 |
23.57 ± 3.82 / 56.09 ± 4.62 |
53.82 ± 2.13 / 61.94 ± 1.63 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| cardiffnlp/twitter-xlm-roberta-base |
278 |
250 |
512 |
True |
34,475 ± 7,465 / 6,712 ± 2,223 |
2.20 |
70.10 ± 1.16 / 64.54 ± 1.00 |
45.30 ± 2.03 / 63.22 ± 1.47 |
51.74 ± 2.53 / 74.31 ± 1.94 |
22.01 ± 2.50 / 27.76 ± 2.44 |
0.0.0 |
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 |
2.20 |
57.74 ± 2.06 / 40.66 ± 2.58 |
48.43 ± 3.31 / 62.09 ± 3.62 |
27.12 ± 2.83 / 60.40 ± 2.70 |
46.76 ± 1.20 / 59.77 ± 0.51 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| birgermoell/Rapid-Cycling (few-shot, val) |
7242 |
32 |
32768 |
False |
2,346 ± 450 / 666 ± 249 |
2.21 |
49.99 ± 2.62 / 38.37 ± 3.04 |
51.25 ± 2.70 / 62.67 ± 2.82 |
20.66 ± 5.69 / 49.98 ± 4.94 |
56.82 ± 1.75 / 62.40 ± 1.40 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| gpt-4o-mini-2024-07-18 (few-shot) |
unknown |
200 |
128000 |
True |
1,171 ± 378 / 120 ± 39 |
2.21 |
63.59 ± 2.16 / 42.42 ± 3.34 |
29.47 ± 4.78 / 50.59 ± 4.36 |
38.37 ± 9.13 / 60.56 ± 8.53 |
54.63 ± 0.51 / 65.79 ± 0.42 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
| CohereForAI/aya-expanse-8b (few-shot) |
8028 |
256 |
8192 |
False |
5,581 ± 1,066 / 1,471 ± 483 |
2.22 |
51.32 ± 3.82 / 25.54 ± 2.10 |
52.00 ± 1.67 / 66.25 ± 1.77 |
18.48 ± 2.44 / 52.18 ± 4.28 |
52.43 ± 1.19 / 62.08 ± 0.60 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| facebook/xlm-v-base |
778 |
902 |
512 |
True |
25,396 ± 6,394 / 4,534 ± 1,421 |
2.22 |
71.42 ± 2.68 / 66.61 ± 1.99 |
31.86 ± 8.76 / 47.51 ± 8.94 |
52.95 ± 11.68 / 73.96 ± 8.89 |
34.66 ± 1.64 / 40.58 ± 1.63 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| utter-project/EuroLLM-9B-Instruct (few-shot) |
9152 |
128 |
4096 |
False |
5,763 ± 1,178 / 1,390 ± 446 |
2.22 |
34.00 ± 2.69 / 25.49 ± 2.06 |
53.97 ± 1.21 / 68.40 ± 1.28 |
32.21 ± 4.81 / 56.97 ± 5.83 |
57.10 ± 0.99 / 63.73 ± 0.85 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| Mabeck/Heidrun-Mistral-7B-chat (few-shot) |
7242 |
32 |
32768 |
False |
5,822 ± 1,283 / 1,336 ± 430 |
2.23 |
50.80 ± 2.33 / 34.04 ± 1.76 |
42.79 ± 2.38 / 54.47 ± 3.04 |
23.25 ± 3.17 / 56.31 ± 4.02 |
59.90 ± 0.84 / 65.47 ± 0.43 |
10.0.1 |
10.0.1 |
10.0.1 |
12.5.0 |
| timpal0l/sol (few-shot) |
10732 |
32 |
4096 |
False |
3,701 ± 876 / 771 ± 247 |
2.23 |
54.91 ± 1.53 / 36.29 ± 1.85 |
44.38 ± 2.83 / 57.19 ± 3.61 |
21.11 ± 3.23 / 45.43 ± 3.11 |
58.96 ± 1.71 / 65.85 ± 1.20 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| emillykkejensen/Llama-3-8B-instruct-dansk (few-shot) |
8030 |
128 |
4096 |
False |
967 ± 125 / 402 ± 116 |
2.25 |
41.74 ± 3.18 / 30.54 ± 2.87 |
50.07 ± 1.52 / 60.95 ± 2.42 |
24.49 ± 1.98 / 57.72 ± 2.71 |
59.29 ± 0.86 / 65.18 ± 0.54 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
2,549 ± 472 / 784 ± 245 |
2.26 |
53.02 ± 2.85 / 41.35 ± 3.42 |
51.29 ± 3.42 / 66.57 ± 2.46 |
19.73 ± 4.11 / 57.07 ± 3.09 |
51.69 ± 2.29 / 61.26 ± 1.32 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| Maltehb/danish-bert-botxo |
111 |
32 |
512 |
True |
16,091 ± 2,427 / 4,575 ± 1,485 |
2.27 |
66.71 ± 1.80 / 61.55 ± 1.75 |
43.79 ± 1.76 / 62.26 ± 1.35 |
45.96 ± 2.91 / 69.62 ± 1.72 |
26.29 ± 2.34 / 32.91 ± 2.60 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| sarnikowski/convbert-medium-small-da-cased |
24 |
29 |
512 |
True |
13,821 ± 2,209 / 3,547 ± 1,184 |
2.27 |
64.28 ± 1.74 / 59.29 ± 1.54 |
36.85 ± 3.28 / 56.27 ± 3.98 |
63.55 ± 1.19 / 81.41 ± 0.64 |
24.52 ± 1.11 / 29.88 ± 1.13 |
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 |
2.27 |
51.53 ± 2.82 / 40.66 ± 2.30 |
47.95 ± 3.02 / 55.70 ± 3.32 |
14.10 ± 3.79 / 40.80 ± 3.64 |
58.28 ± 1.98 / 64.33 ± 1.60 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| Geotrend/bert-base-en-fr-de-no-da-cased |
118 |
42 |
512 |
True |
13,973 ± 3,205 / 2,725 ± 884 |
2.28 |
63.38 ± 2.39 / 59.20 ± 1.98 |
34.78 ± 1.49 / 55.59 ± 0.92 |
41.08 ± 7.28 / 69.77 ± 3.75 |
40.32 ± 0.81 / 44.89 ± 0.76 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
3,008 ± 429 / 991 ± 323 |
2.28 |
50.83 ± 2.28 / 36.96 ± 2.58 |
43.41 ± 2.56 / 48.74 ± 2.83 |
19.72 ± 4.69 / 52.71 ± 5.26 |
57.87 ± 2.32 / 64.53 ± 1.73 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
| merge-crew/da-sv-ties (few-shot, val) |
7242 |
32 |
32768 |
True |
2,457 ± 451 / 757 ± 237 |
2.28 |
45.39 ± 2.46 / 34.45 ± 2.56 |
51.95 ± 2.65 / 65.69 ± 2.11 |
13.25 ± 6.27 / 45.66 ± 5.58 |
58.51 ± 1.35 / 62.73 ± 1.19 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| AI-Sweden-Models/tyr (few-shot, val) |
7242 |
32 |
32768 |
False |
6,079 ± 1,051 / 1,760 ± 570 |
2.29 |
47.01 ± 2.76 / 36.47 ± 3.27 |
50.60 ± 3.33 / 65.49 ± 2.38 |
13.73 ± 3.33 / 52.15 ± 3.17 |
56.35 ± 1.68 / 61.63 ± 1.33 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| birgermoell/Flashback-Bellman (few-shot, val) |
7242 |
32 |
32768 |
False |
2,887 ± 403 / 1,144 ± 345 |
2.29 |
47.71 ± 3.50 / 35.65 ± 3.07 |
48.21 ± 3.58 / 60.08 ± 3.41 |
19.55 ± 5.35 / 50.98 ± 5.74 |
56.46 ± 1.48 / 61.69 ± 1.28 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| timpal0l/Llama-3-8B-flashback-v1 (few-shot) |
8030 |
128 |
8192 |
True |
4,807 ± 1,152 / 979 ± 319 |
2.29 |
46.59 ± 4.16 / 31.16 ± 3.95 |
50.25 ± 1.25 / 66.18 ± 1.01 |
14.46 ± 2.48 / 50.96 ± 4.22 |
56.86 ± 1.23 / 62.50 ± 0.92 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| jannikskytt/MeDa-Bert |
111 |
32 |
511 |
True |
16,114 ± 2,429 / 4,566 ± 1,482 |
2.30 |
64.64 ± 1.72 / 59.54 ± 1.83 |
44.62 ± 1.38 / 62.33 ± 1.20 |
47.47 ± 8.03 / 70.55 ± 4.26 |
23.14 ± 1.59 / 29.91 ± 1.40 |
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 |
2.30 |
52.61 ± 1.77 / 33.64 ± 2.67 |
49.81 ± 1.43 / 66.32 ± 1.25 |
19.64 ± 1.63 / 54.22 ± 2.32 |
48.03 ± 1.24 / 57.94 ± 1.02 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| ibm-granite/granite-3.0-8b-base (few-shot) |
8171 |
49 |
4097 |
True |
5,116 ± 943 / 1,436 ± 472 |
2.31 |
44.58 ± 2.62 / 33.50 ± 2.75 |
47.16 ± 1.36 / 64.63 ± 1.18 |
19.20 ± 2.44 / 53.44 ± 4.36 |
58.41 ± 1.36 / 63.32 ± 0.89 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| danish-foundation-models/encoder-medium-v1 |
111 |
32 |
512 |
True |
16,130 ± 2,433 / 4,566 ± 1,473 |
2.32 |
63.42 ± 1.89 / 58.69 ± 2.54 |
39.91 ± 1.78 / 58.47 ± 2.16 |
51.01 ± 10.50 / 74.54 ± 5.83 |
25.76 ± 2.11 / 31.49 ± 1.94 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google-bert/bert-base-multilingual-uncased |
167 |
106 |
512 |
True |
13,993 ± 3,217 / 2,752 ± 893 |
2.33 |
64.92 ± 2.17 / 60.82 ± 1.86 |
33.50 ± 2.57 / 54.63 ± 2.14 |
46.75 ± 3.43 / 72.71 ± 2.11 |
37.09 ± 2.08 / 41.77 ± 2.25 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| NLPnorth/snakmodel-7b-instruct (few-shot) |
6738 |
32 |
4096 |
False |
3,028 ± 534 / 941 ± 289 |
2.35 |
35.82 ± 4.16 / 29.62 ± 3.38 |
50.46 ± 1.30 / 64.72 ± 2.20 |
18.60 ± 3.80 / 52.87 ± 6.20 |
58.57 ± 0.74 / 64.68 ± 0.58 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| meta-llama/Llama-3.1-8B-Instruct (few-shot) |
8030 |
128 |
131073 |
True |
2,411 ± 465 / 686 ± 215 |
2.35 |
57.19 ± 1.73 / 44.34 ± 2.43 |
51.30 ± 1.32 / 64.44 ± 1.47 |
10.31 ± 3.91 / 42.59 ± 5.19 |
48.80 ± 1.66 / 60.46 ± 0.60 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| AI-Sweden-Models/Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,141 ± 994 / 905 ± 299 |
2.36 |
36.72 ± 3.33 / 27.73 ± 2.57 |
46.48 ± 1.17 / 55.20 ± 2.51 |
26.10 ± 3.17 / 59.19 ± 3.94 |
58.00 ± 0.91 / 64.11 ± 0.64 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,515 ± 465 / 785 ± 247 |
2.36 |
46.03 ± 3.93 / 34.23 ± 2.86 |
49.59 ± 3.26 / 63.45 ± 2.61 |
12.72 ± 3.51 / 46.56 ± 5.33 |
57.03 ± 1.13 / 61.58 ± 1.01 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| microsoft/infoxlm-large |
560 |
250 |
512 |
True |
6,696 ± 1,260 / 1,630 ± 515 |
2.36 |
74.42 ± 1.81 / 69.54 ± 1.52 |
37.94 ± 10.08 / 55.77 ± 9.21 |
15.26 ± 10.94 / 48.92 ± 8.26 |
44.25 ± 2.55 / 50.10 ± 2.75 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
2,518 ± 463 / 779 ± 243 |
2.36 |
46.11 ± 3.27 / 28.75 ± 2.13 |
47.58 ± 1.41 / 63.81 ± 1.28 |
18.41 ± 2.11 / 57.44 ± 2.11 |
52.78 ± 1.15 / 60.80 ± 0.59 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
| KennethEnevoldsen/munin_mistral-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,543 ± 466 / 787 ± 247 |
2.37 |
46.70 ± 3.49 / 36.30 ± 2.65 |
47.52 ± 3.90 / 55.98 ± 4.69 |
8.04 ± 5.32 / 36.02 ± 2.59 |
60.05 ± 1.30 / 64.15 ± 1.20 |
12.5.2 |
12.3.1 |
12.3.1 |
12.3.2 |
| Geotrend/bert-base-en-no-cased |
111 |
33 |
512 |
True |
14,081 ± 3,231 / 2,748 ± 891 |
2.38 |
62.66 ± 1.84 / 58.60 ± 1.78 |
33.91 ± 1.43 / 54.87 ± 1.38 |
40.96 ± 4.05 / 69.68 ± 2.12 |
39.93 ± 2.55 / 44.63 ± 2.71 |
0.0.0 |
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 |
2.38 |
43.65 ± 2.87 / 32.21 ± 2.13 |
45.86 ± 1.63 / 61.89 ± 1.57 |
15.19 ± 3.67 / 46.19 ± 5.60 |
59.14 ± 0.90 / 64.43 ± 0.58 |
12.5.2 |
12.5.1 |
12.5.1 |
12.5.1 |
| mistralai/Mistral-7B-v0.3 (few-shot) |
7248 |
33 |
32768 |
True |
4,120 ± 976 / 926 ± 306 |
2.38 |
43.60 ± 2.94 / 32.17 ± 2.26 |
45.92 ± 1.50 / 61.91 ± 1.50 |
15.43 ± 3.79 / 46.20 ± 5.54 |
59.13 ± 0.86 / 64.43 ± 0.58 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) |
7242 |
32 |
32768 |
True |
5,054 ± 1,200 / 1,056 ± 339 |
2.39 |
42.43 ± 3.36 / 29.30 ± 2.53 |
47.82 ± 2.00 / 63.19 ± 2.09 |
16.51 ± 2.59 / 52.73 ± 3.91 |
56.95 ± 1.21 / 62.20 ± 0.83 |
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 |
2.39 |
38.25 ± 3.75 / 28.14 ± 3.06 |
39.37 ± 2.09 / 56.57 ± 1.90 |
29.76 ± 3.24 / 61.80 ± 2.22 |
57.02 ± 1.28 / 63.16 ± 0.90 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| CohereForAI/aya-23-8B (few-shot) |
8028 |
256 |
8192 |
False |
5,608 ± 1,062 / 1,472 ± 479 |
2.40 |
47.08 ± 3.39 / 32.34 ± 2.97 |
47.16 ± 1.21 / 63.47 ± 1.57 |
8.41 ± 2.40 / 37.31 ± 1.66 |
58.83 ± 0.73 / 63.96 ± 0.56 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
2.41 |
44.89 ± 2.46 / 29.13 ± 1.92 |
48.09 ± 1.00 / 65.40 ± 0.75 |
19.06 ± 2.34 / 58.77 ± 1.37 |
51.56 ± 1.16 / 60.81 ± 0.74 |
9.2.0 |
9.2.0 |
9.3.1 |
12.4.0 |
| ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) |
7242 |
32 |
32768 |
False |
3,006 ± 479 / 1,053 ± 319 |
2.42 |
45.37 ± 2.53 / 28.99 ± 2.18 |
39.63 ± 1.90 / 46.93 ± 2.68 |
21.77 ± 3.54 / 47.96 ± 4.57 |
58.28 ± 0.73 / 64.76 ± 0.47 |
11.0.0 |
11.0.0 |
11.0.0 |
12.4.0 |
| ZurichNLP/unsup-simcse-xlm-roberta-base |
278 |
250 |
512 |
True |
34,520 ± 7,443 / 6,730 ± 2,224 |
2.42 |
65.10 ± 1.65 / 61.96 ± 1.26 |
45.07 ± 1.23 / 63.33 ± 0.78 |
26.83 ± 11.38 / 60.41 ± 6.66 |
29.92 ± 1.25 / 35.05 ± 1.16 |
12.6.1 |
12.6.1 |
12.6.1 |
0.0.0 |
| meta-llama/Llama-2-13b-chat-hf (few-shot) |
13016 |
32 |
4096 |
True |
2,849 ± 622 / 723 ± 229 |
2.42 |
44.00 ± 2.63 / 29.00 ± 2.26 |
45.41 ± 1.79 / 62.27 ± 2.34 |
16.17 ± 2.17 / 56.93 ± 1.29 |
57.06 ± 0.83 / 63.94 ± 0.49 |
12.10.5 |
12.10.4 |
12.10.4 |
12.11.0 |
| mlabonne/AlphaMonarch-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
5,340 ± 1,262 / 1,157 ± 375 |
2.42 |
52.72 ± 2.21 / 39.49 ± 3.47 |
49.11 ± 3.91 / 64.78 ± 2.61 |
16.09 ± 3.74 / 54.94 ± 2.92 |
46.28 ± 1.53 / 56.13 ± 1.09 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| ibm-granite/granite-3.0-8b-instruct (few-shot) |
8171 |
49 |
4096 |
True |
5,090 ± 937 / 1,423 ± 466 |
2.43 |
44.92 ± 3.05 / 32.65 ± 2.50 |
49.31 ± 1.35 / 66.02 ± 1.10 |
10.14 ± 2.87 / 44.99 ± 4.82 |
57.34 ± 0.99 / 63.24 ± 0.44 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| AI-Nordics/bert-large-swedish-cased |
335 |
31 |
512 |
True |
7,199 ± 1,139 / 2,051 ± 651 |
2.44 |
60.66 ± 1.45 / 56.95 ± 1.66 |
38.46 ± 1.17 / 58.16 ± 0.95 |
32.29 ± 5.92 / 63.74 ± 3.44 |
37.68 ± 1.06 / 43.21 ± 1.09 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| KBLab/megatron-bert-large-swedish-cased-165k |
370 |
64 |
512 |
True |
7,138 ± 1,111 / 2,067 ± 660 |
2.44 |
58.50 ± 4.21 / 55.82 ± 3.50 |
41.02 ± 1.64 / 60.13 ± 1.52 |
27.10 ± 3.59 / 61.03 ± 2.41 |
39.99 ± 1.25 / 45.72 ± 1.27 |
0.0.0 |
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 |
2.45 |
61.17 ± 2.09 / 58.41 ± 2.11 |
46.39 ± 1.25 / 63.97 ± 1.08 |
38.61 ± 1.86 / 67.08 ± 1.08 |
19.90 ± 1.09 / 25.77 ± 1.12 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/bert-base-en-da-cased |
111 |
33 |
512 |
True |
14,062 ± 3,216 / 2,733 ± 885 |
2.46 |
62.57 ± 1.98 / 59.39 ± 2.04 |
33.67 ± 1.54 / 54.48 ± 1.19 |
35.79 ± 9.58 / 65.87 ± 5.46 |
38.77 ± 2.23 / 43.26 ± 2.39 |
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 |
2.47 |
60.18 ± 2.71 / 57.15 ± 2.47 |
39.20 ± 1.69 / 59.33 ± 1.23 |
26.68 ± 3.38 / 59.41 ± 2.16 |
39.34 ± 0.84 / 44.87 ± 0.79 |
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 |
2.47 |
40.14 ± 2.41 / 28.08 ± 1.67 |
39.38 ± 1.56 / 49.16 ± 2.84 |
21.85 ± 3.24 / 53.75 ± 4.63 |
58.07 ± 1.13 / 63.63 ± 0.69 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) |
7242 |
32 |
32768 |
False |
2,903 ± 407 / 1,157 ± 350 |
2.48 |
51.85 ± 3.08 / 40.02 ± 2.48 |
44.02 ± 2.44 / 47.74 ± 1.98 |
1.22 ± 4.99 / 34.29 ± 1.62 |
57.69 ± 2.29 / 64.09 ± 1.68 |
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 |
2.48 |
51.85 ± 3.08 / 40.02 ± 2.48 |
44.02 ± 2.44 / 47.74 ± 1.98 |
1.22 ± 4.99 / 34.29 ± 1.62 |
57.69 ± 2.29 / 64.09 ± 1.68 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| jonfd/electra-small-nordic |
22 |
96 |
128 |
True |
5,989 ± 120 / 3,809 ± 1,230 |
2.48 |
65.40 ± 2.02 / 60.53 ± 1.65 |
34.43 ± 4.13 / 51.90 ± 6.17 |
67.27 ± 1.04 / 83.37 ± 0.64 |
6.60 ± 2.98 / 7.09 ± 3.29 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| microsoft/xlm-align-base |
278 |
250 |
512 |
True |
14,744 ± 2,870 / 3,265 ± 1,053 |
2.48 |
70.36 ± 2.14 / 65.91 ± 2.15 |
47.83 ± 1.46 / 65.49 ± 0.96 |
11.87 ± 5.47 / 48.82 ± 4.15 |
29.87 ± 3.18 / 35.11 ± 2.73 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| mistralai/Mistral-7B-v0.1 (few-shot) |
7242 |
32 |
32768 |
True |
2,657 ± 524 / 880 ± 278 |
2.48 |
45.42 ± 2.88 / 32.66 ± 2.49 |
43.16 ± 1.69 / 54.53 ± 2.83 |
8.79 ± 3.23 / 38.38 ± 4.22 |
59.43 ± 1.04 / 64.55 ± 0.68 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
| RuterNorway/Llama-2-13b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
3,254 ± 1,068 / 484 ± 173 |
2.49 |
43.17 ± 2.78 / 31.37 ± 2.95 |
43.40 ± 2.20 / 57.24 ± 3.52 |
11.08 ± 2.98 / 43.40 ± 4.66 |
56.81 ± 0.70 / 63.10 ± 0.35 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| danish-foundation-models/munin-7b-alpha (few-shot) |
7242 |
32 |
32768 |
True |
6,116 ± 1,049 / 1,784 ± 577 |
2.49 |
40.60 ± 2.25 / 28.71 ± 1.42 |
36.89 ± 2.27 / 43.77 ± 2.64 |
26.41 ± 5.40 / 53.03 ± 6.56 |
57.81 ± 1.11 / 63.44 ± 0.81 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
| danish-foundation-models/munin-7b-v0.1dev0 (few-shot) |
7242 |
32 |
8192 |
True |
6,113 ± 1,044 / 1,790 ± 579 |
2.49 |
39.12 ± 4.28 / 28.74 ± 2.75 |
36.47 ± 4.90 / 50.72 ± 6.21 |
26.76 ± 4.78 / 57.02 ± 5.13 |
58.75 ± 1.19 / 64.41 ± 0.77 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
| sentence-transformers/paraphrase-multilingual-mpnet-base-v2 |
278 |
250 |
512 |
True |
15,100 ± 3,019 / 3,369 ± 1,103 |
2.49 |
61.18 ± 1.22 / 57.94 ± 1.56 |
49.13 ± 0.82 / 65.84 ± 0.66 |
29.66 ± 7.69 / 63.05 ± 4.35 |
19.99 ± 1.65 / 26.42 ± 1.77 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| bineric/NorskGPT-Llama3-8b (few-shot) |
8030 |
128 |
8192 |
False |
3,695 ± 1,277 / 532 ± 183 |
2.50 |
51.40 ± 3.08 / 37.70 ± 3.28 |
42.13 ± 0.57 / 45.91 ± 0.39 |
3.91 ± 2.02 / 34.38 ± 0.47 |
57.81 ± 1.03 / 66.28 ± 0.48 |
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 |
2.51 |
62.53 ± 2.60 / 58.99 ± 2.88 |
32.88 ± 1.24 / 53.56 ± 1.47 |
29.01 ± 11.25 / 61.89 ± 6.94 |
39.51 ± 1.53 / 44.11 ± 1.58 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Twitter/twhin-bert-base |
279 |
250 |
512 |
True |
11,514 ± 2,041 / 2,862 ± 918 |
2.51 |
60.01 ± 2.63 / 56.13 ± 2.46 |
42.17 ± 1.64 / 61.25 ± 1.45 |
29.43 ± 13.02 / 62.08 ± 7.77 |
29.79 ± 3.33 / 34.82 ± 2.83 |
12.6.1 |
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 |
2.51 |
60.82 ± 2.03 / 57.64 ± 2.08 |
34.45 ± 0.78 / 55.56 ± 0.68 |
41.89 ± 9.80 / 70.04 ± 5.10 |
26.83 ± 1.26 / 31.55 ± 1.26 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/gemma-7b (few-shot) |
8538 |
256 |
8192 |
True |
1,378 ± 260 / 387 ± 119 |
2.52 |
19.59 ± 2.54 / 15.47 ± 2.19 |
46.55 ± 1.89 / 59.52 ± 3.56 |
32.64 ± 2.91 / 63.84 ± 1.69 |
59.40 ± 1.02 / 64.81 ± 0.91 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
| jhu-clsp/bernice |
278 |
250 |
512 |
True |
5,567 ± 450 / 2,483 ± 798 |
2.52 |
61.98 ± 2.00 / 58.30 ± 2.12 |
47.20 ± 1.34 / 64.51 ± 1.21 |
40.52 ± 7.38 / 67.99 ± 3.84 |
13.53 ± 4.79 / 15.93 ± 5.58 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/bert-base-da-cased |
104 |
23 |
512 |
True |
15,432 ± 2,838 / 3,642 ± 1,189 |
2.53 |
62.76 ± 1.92 / 58.88 ± 1.74 |
32.06 ± 1.44 / 52.57 ± 1.80 |
30.95 ± 11.93 / 63.72 ± 6.84 |
37.79 ± 2.37 / 42.36 ± 2.56 |
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 |
2.53 |
68.49 ± 2.09 / 64.72 ± 2.02 |
45.60 ± 1.76 / 63.53 ± 1.48 |
28.26 ± 11.88 / 55.28 ± 7.93 |
14.34 ± 3.95 / 18.60 ± 5.02 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google-bert/bert-base-multilingual-cased |
178 |
120 |
512 |
True |
14,083 ± 3,264 / 2,738 ± 889 |
2.53 |
63.17 ± 2.79 / 59.45 ± 2.58 |
32.38 ± 1.72 / 53.30 ± 1.79 |
27.93 ± 11.48 / 61.91 ± 6.69 |
39.57 ± 1.18 / 44.06 ± 1.25 |
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 |
2.53 |
44.90 ± 3.15 / 31.91 ± 2.65 |
42.61 ± 1.79 / 53.47 ± 3.00 |
8.65 ± 3.44 / 38.18 ± 4.21 |
59.62 ± 1.12 / 64.70 ± 0.75 |
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 |
2.54 |
60.63 ± 1.32 / 56.90 ± 1.49 |
24.38 ± 1.74 / 40.85 ± 3.07 |
68.58 ± 1.38 / 84.12 ± 0.69 |
21.03 ± 1.09 / 27.53 ± 0.88 |
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 |
2.56 |
69.78 ± 1.59 / 65.83 ± 2.08 |
46.78 ± 1.57 / 64.46 ± 1.17 |
11.27 ± 2.21 / 51.47 ± 2.07 |
28.28 ± 4.63 / 33.33 ± 4.10 |
0.0.0 |
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 |
2.56 |
60.59 ± 1.84 / 57.31 ± 1.47 |
29.52 ± 2.89 / 47.81 ± 4.54 |
57.10 ± 2.02 / 78.14 ± 1.10 |
20.16 ± 0.73 / 25.69 ± 0.60 |
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 |
2.58 |
63.84 ± 1.73 / 59.85 ± 1.44 |
43.90 ± 1.50 / 62.31 ± 0.96 |
17.16 ± 13.94 / 56.47 ± 7.34 |
26.94 ± 1.16 / 31.50 ± 1.03 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| tollefj/nordavind-7b-instruct-warm (few-shot) |
7248 |
33 |
2048 |
False |
6,450 ± 961 / 2,082 ± 658 |
2.59 |
38.39 ± 3.57 / 24.87 ± 2.52 |
49.44 ± 1.03 / 66.00 ± 0.88 |
7.50 ± 2.07 / 47.53 ± 4.03 |
51.24 ± 1.09 / 57.72 ± 0.98 |
12.5.2 |
12.3.2 |
12.3.2 |
12.4.0 |
| KB/bert-base-swedish-cased |
125 |
50 |
512 |
True |
16,181 ± 2,451 / 4,620 ± 1,507 |
2.61 |
61.74 ± 1.46 / 58.09 ± 1.52 |
33.28 ± 1.65 / 54.37 ± 1.44 |
33.15 ± 7.14 / 64.69 ± 4.47 |
28.67 ± 0.79 / 33.03 ± 0.87 |
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 |
2.61 |
61.74 ± 1.46 / 58.09 ± 1.52 |
33.31 ± 1.49 / 54.09 ± 1.49 |
33.35 ± 7.32 / 64.61 ± 4.56 |
28.67 ± 0.79 / 33.03 ± 0.87 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| bineric/NorskGPT-Llama-13B-v0.1 (few-shot) |
unknown |
32 |
4096 |
False |
2,856 ± 645 / 709 ± 243 |
2.62 |
44.17 ± 3.14 / 31.63 ± 3.03 |
44.28 ± 1.94 / 55.59 ± 3.06 |
3.11 ± 1.88 / 34.35 ± 0.74 |
55.59 ± 0.65 / 63.25 ± 0.37 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
| meta-llama/Llama-3.2-3B-Instruct (few-shot) |
3213 |
128 |
131073 |
False |
10,424 ± 2,641 / 2,081 ± 666 |
2.62 |
41.12 ± 3.39 / 32.50 ± 2.74 |
42.77 ± 2.76 / 54.70 ± 4.19 |
11.52 ± 3.01 / 49.37 ± 4.12 |
51.14 ± 1.03 / 60.18 ± 0.55 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| KBLab/megatron-bert-base-swedish-cased-600k |
135 |
64 |
512 |
True |
15,726 ± 2,508 / 4,234 ± 1,365 |
2.63 |
57.97 ± 1.64 / 54.71 ± 1.72 |
39.40 ± 1.14 / 59.02 ± 0.60 |
23.50 ± 1.86 / 59.54 ± 1.34 |
31.87 ± 2.77 / 36.99 ± 2.78 |
0.0.0 |
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 |
2.63 |
35.44 ± 3.00 / 24.63 ± 1.65 |
44.88 ± 1.45 / 62.35 ± 1.33 |
9.74 ± 1.96 / 47.42 ± 4.19 |
55.04 ± 0.79 / 61.34 ± 0.81 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
2.63 |
37.93 ± 2.71 / 23.54 ± 1.99 |
44.49 ± 2.56 / 60.64 ± 3.00 |
14.09 ± 2.94 / 42.43 ± 3.30 |
51.38 ± 2.31 / 58.78 ± 1.27 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
| sentence-transformers/stsb-xlm-r-multilingual |
278 |
250 |
512 |
True |
15,040 ± 2,953 / 3,417 ± 1,100 |
2.63 |
58.52 ± 1.78 / 55.04 ± 1.60 |
42.26 ± 1.13 / 61.41 ± 0.76 |
34.80 ± 5.89 / 64.51 ± 4.90 |
19.60 ± 1.60 / 25.68 ± 1.48 |
0.0.0 |
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 |
2.64 |
62.52 ± 1.33 / 57.14 ± 1.29 |
34.45 ± 3.16 / 51.40 ± 5.12 |
65.15 ± 0.81 / 82.32 ± 0.45 |
2.51 ± 2.06 / 2.75 ± 2.29 |
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 |
2.64 |
50.76 ± 1.60 / 32.89 ± 2.11 |
40.41 ± 0.79 / 44.17 ± 0.56 |
0.00 ± 0.00 / 33.41 ± 0.23 |
57.26 ± 0.79 / 63.80 ± 0.52 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
| emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) |
3821 |
32 |
4096 |
False |
1,360 ± 179 / 566 ± 190 |
2.64 |
39.96 ± 3.11 / 25.49 ± 2.71 |
44.93 ± 1.13 / 62.99 ± 0.87 |
4.01 ± 1.10 / 45.80 ± 2.61 |
55.01 ± 0.80 / 60.67 ± 0.59 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
| ibm-granite/granite-3.0-2b-instruct (few-shot) |
2634 |
49 |
4097 |
True |
10,194 ± 2,403 / 2,193 ± 731 |
2.64 |
41.79 ± 2.11 / 32.67 ± 2.33 |
41.86 ± 1.28 / 61.22 ± 0.99 |
11.86 ± 1.80 / 50.92 ± 3.93 |
51.97 ± 0.76 / 59.28 ± 0.61 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| jjzha/dajobbert-base-uncased |
110 |
32 |
512 |
True |
16,243 ± 2,428 / 4,593 ± 1,484 |
2.64 |
60.78 ± 1.12 / 55.74 ± 1.15 |
39.65 ± 1.31 / 59.23 ± 0.94 |
37.67 ± 7.20 / 65.47 ± 3.22 |
15.41 ± 3.05 / 22.46 ± 2.81 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| DDSC/roberta-base-scandinavian |
125 |
50 |
512 |
True |
14,491 ± 2,800 / 3,182 ± 1,026 |
2.65 |
43.90 ± 15.70 / 41.25 ± 14.74 |
44.48 ± 5.85 / 62.62 ± 4.55 |
30.37 ± 17.09 / 63.92 ± 8.38 |
28.89 ± 1.91 / 33.71 ± 1.54 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| LumiOpen/Viking-33B@1000B (few-shot) |
33119 |
131 |
4099 |
True |
2,080 ± 700 / 331 ± 117 |
2.65 |
34.22 ± 2.47 / 22.52 ± 1.93 |
45.05 ± 2.49 / 62.23 ± 1.84 |
9.40 ± 2.63 / 44.83 ± 4.69 |
54.92 ± 1.00 / 60.33 ± 0.76 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) |
6738 |
32 |
4096 |
False |
5,384 ± 879 / 1,746 ± 553 |
2.65 |
41.63 ± 2.33 / 28.51 ± 2.43 |
47.73 ± 1.52 / 60.64 ± 2.33 |
0.00 ± 0.00 / 33.41 ± 0.23 |
54.25 ± 0.85 / 61.70 ± 0.71 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| google/gemma-2-2b-it (few-shot) |
2614 |
256 |
8193 |
True |
5,374 ± 1,233 / 1,193 ± 377 |
2.65 |
28.22 ± 1.66 / 19.95 ± 1.55 |
47.11 ± 1.36 / 63.36 ± 1.39 |
19.99 ± 1.86 / 58.86 ± 1.11 |
48.00 ± 0.98 / 58.49 ± 0.49 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| Maltehb/aelaectra-danish-electra-small-cased |
14 |
32 |
128 |
True |
4,593 ± 114 / 3,034 ± 973 |
2.66 |
63.31 ± 1.75 / 58.18 ± 1.78 |
32.72 ± 2.91 / 49.84 ± 4.90 |
67.74 ± 1.33 / 83.32 ± 0.71 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/distilbert-base-en-da-cased |
69 |
33 |
512 |
True |
26,196 ± 5,956 / 5,220 ± 1,691 |
2.67 |
59.50 ± 1.45 / 56.28 ± 1.67 |
31.89 ± 1.59 / 53.99 ± 1.22 |
36.00 ± 2.27 / 67.38 ± 1.56 |
28.41 ± 1.26 / 33.19 ± 1.40 |
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 |
2.67 |
58.78 ± 1.75 / 55.50 ± 1.82 |
31.30 ± 1.80 / 52.43 ± 1.61 |
34.92 ± 2.74 / 66.69 ± 2.11 |
27.86 ± 1.51 / 32.53 ± 1.36 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| ibm-granite/granite-8b-code-base-4k (few-shot) |
8055 |
49 |
4096 |
True |
2,313 ± 423 / 682 ± 210 |
2.67 |
48.44 ± 1.69 / 36.99 ± 1.77 |
39.07 ± 1.03 / 56.85 ± 1.91 |
9.72 ± 1.58 / 46.85 ± 3.66 |
51.18 ± 0.92 / 56.54 ± 0.69 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| ibm-granite/granite-8b-code-base (few-shot) |
8055 |
49 |
4096 |
True |
1,002 ± 95 / 416 ± 105 |
2.67 |
48.55 ± 1.75 / 37.15 ± 1.83 |
39.16 ± 0.95 / 56.83 ± 1.90 |
10.43 ± 1.91 / 46.99 ± 3.74 |
51.28 ± 0.95 / 56.75 ± 0.70 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| meta-llama/Llama-3.2-3B (few-shot) |
3213 |
128 |
131073 |
True |
3,713 ± 877 / 836 ± 267 |
2.67 |
41.13 ± 2.85 / 27.15 ± 1.82 |
38.90 ± 1.93 / 44.34 ± 1.64 |
9.60 ± 2.51 / 44.34 ± 5.20 |
56.85 ± 1.27 / 62.25 ± 0.88 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| occiglot/occiglot-7b-eu5-instruct (few-shot) |
7242 |
32 |
32768 |
False |
2,088 ± 352 / 706 ± 214 |
2.67 |
40.19 ± 2.55 / 29.73 ± 1.44 |
42.31 ± 1.55 / 59.29 ± 2.00 |
1.14 ± 1.22 / 33.83 ± 0.72 |
57.89 ± 1.16 / 63.95 ± 0.82 |
12.5.2 |
12.2.0 |
12.3.1 |
12.4.0 |
| TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) |
7800 |
100 |
4096 |
True |
6,197 ± 1,118 / 1,730 ± 577 |
2.68 |
34.25 ± 2.28 / 30.39 ± 2.14 |
45.67 ± 2.41 / 58.41 ± 3.04 |
10.62 ± 2.37 / 53.20 ± 3.73 |
50.77 ± 2.48 / 56.92 ± 2.42 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| Twitter/twhin-bert-large |
561 |
250 |
512 |
True |
9,707 ± 1,664 / 2,549 ± 831 |
2.68 |
66.39 ± 1.42 / 62.24 ± 1.29 |
39.36 ± 3.13 / 58.64 ± 2.64 |
7.06 ± 6.11 / 49.71 ± 4.63 |
33.88 ± 4.27 / 38.42 ± 4.16 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| norallm/normistral-7b-warm-instruct (few-shot) |
unknown |
33 |
2048 |
True |
6,194 ± 949 / 1,967 ± 619 |
2.68 |
39.83 ± 2.18 / 25.99 ± 1.56 |
47.48 ± 2.00 / 63.93 ± 1.86 |
4.55 ± 2.34 / 42.91 ± 4.05 |
49.23 ± 0.63 / 57.45 ± 0.53 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| ibm-granite/granite-8b-code-instruct-4k (few-shot) |
8055 |
49 |
4096 |
True |
5,617 ± 995 / 1,623 ± 540 |
2.69 |
45.90 ± 2.53 / 33.00 ± 1.93 |
37.11 ± 1.88 / 56.47 ± 1.59 |
11.70 ± 2.16 / 50.31 ± 3.91 |
50.11 ± 0.83 / 55.71 ± 0.49 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| Geotrend/distilbert-base-25lang-cased |
109 |
85 |
512 |
True |
26,099 ± 5,881 / 5,178 ± 1,665 |
2.70 |
58.44 ± 2.08 / 55.32 ± 1.81 |
31.81 ± 1.65 / 53.25 ± 1.65 |
34.13 ± 2.81 / 65.98 ± 2.30 |
27.60 ± 1.58 / 32.18 ± 1.64 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| Geotrend/distilbert-base-da-cased |
61 |
23 |
512 |
True |
28,950 ± 5,114 / 7,010 ± 2,267 |
2.70 |
58.36 ± 1.69 / 55.30 ± 1.49 |
32.13 ± 1.52 / 53.89 ± 1.25 |
34.75 ± 1.55 / 65.89 ± 1.56 |
27.50 ± 1.21 / 32.16 ± 1.28 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| distilbert/distilbert-base-multilingual-cased |
135 |
120 |
512 |
True |
26,355 ± 5,946 / 5,266 ± 1,714 |
2.70 |
58.12 ± 1.30 / 54.97 ± 1.45 |
32.53 ± 1.39 / 54.09 ± 1.00 |
35.53 ± 2.54 / 66.86 ± 1.87 |
28.19 ± 1.93 / 32.96 ± 1.90 |
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 |
2.70 |
37.93 ± 3.09 / 29.50 ± 2.18 |
44.62 ± 1.98 / 62.62 ± 1.54 |
0.28 ± 0.54 / 33.48 ± 0.24 |
58.05 ± 1.02 / 62.89 ± 0.89 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
| AI-Sweden-Models/gpt-sw3-40b (few-shot) |
39927 |
64 |
2048 |
True |
409 ± 53 / 182 ± 54 |
2.71 |
26.57 ± 5.22 / 17.35 ± 2.79 |
47.81 ± 1.32 / 64.26 ± 1.28 |
11.13 ± 2.06 / 51.34 ± 3.02 |
53.78 ± 0.70 / 60.13 ± 0.69 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
| Qwen/Qwen1.5-4B-Chat (few-shot) |
3950 |
152 |
32768 |
False |
4,347 ± 893 / 1,135 ± 365 |
2.71 |
35.96 ± 2.61 / 28.58 ± 2.58 |
42.04 ± 1.42 / 60.76 ± 1.41 |
8.65 ± 1.52 / 49.56 ± 3.60 |
53.68 ± 0.94 / 59.73 ± 0.86 |
12.5.2 |
10.0.1 |
12.1.0 |
12.5.2 |
| merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,461 ± 476 / 773 ± 248 |
2.71 |
30.16 ± 4.47 / 25.03 ± 3.01 |
48.49 ± 2.41 / 63.06 ± 1.91 |
5.52 ± 4.66 / 38.81 ± 4.27 |
52.44 ± 1.32 / 57.22 ± 1.44 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| Geotrend/distilbert-base-en-no-cased |
69 |
33 |
512 |
True |
26,597 ± 6,036 / 5,271 ± 1,697 |
2.72 |
57.53 ± 1.89 / 54.43 ± 1.91 |
32.95 ± 0.82 / 54.57 ± 0.80 |
33.63 ± 2.63 / 65.69 ± 1.82 |
27.21 ± 1.31 / 32.05 ± 1.23 |
0.0.0 |
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 |
2.72 |
56.75 ± 1.91 / 53.43 ± 1.87 |
44.48 ± 1.32 / 63.11 ± 0.83 |
26.74 ± 1.94 / 62.19 ± 1.84 |
17.89 ± 1.00 / 25.53 ± 1.05 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Llama-2-13b-hf (few-shot) |
13016 |
32 |
4096 |
True |
2,898 ± 637 / 736 ± 236 |
2.73 |
41.28 ± 3.92 / 31.98 ± 3.26 |
23.01 ± 3.87 / 36.55 ± 6.42 |
23.50 ± 2.75 / 58.11 ± 3.45 |
60.29 ± 0.81 / 65.52 ± 0.58 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.5 |
| microsoft/Phi-3-mini-4k-instruct (few-shot) |
3821 |
32 |
4096 |
True |
5,224 ± 1,371 / 1,063 ± 358 |
2.73 |
41.37 ± 2.50 / 24.64 ± 2.50 |
42.60 ± 1.06 / 61.52 ± 0.75 |
6.52 ± 1.34 / 45.01 ± 2.64 |
50.57 ± 1.03 / 57.75 ± 0.64 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| LumiOpen/Viking-13B (few-shot) |
14030 |
131 |
4097 |
True |
840 ± 79 / 400 ± 124 |
2.74 |
28.60 ± 4.69 / 20.29 ± 3.37 |
48.71 ± 1.27 / 60.90 ± 2.95 |
2.30 ± 1.34 / 37.21 ± 2.50 |
53.85 ± 1.73 / 58.96 ± 1.67 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| meta-llama/Llama-2-7b-hf (few-shot) |
6738 |
32 |
4096 |
True |
930 ± 310 / 128 ± 43 |
2.75 |
31.77 ± 3.29 / 22.31 ± 2.29 |
43.91 ± 1.94 / 61.54 ± 2.33 |
0.31 ± 0.61 / 33.43 ± 0.23 |
58.44 ± 0.83 / 63.54 ± 0.66 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
| timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) |
7242 |
32 |
32768 |
False |
5,172 ± 813 / 1,647 ± 518 |
2.75 |
37.02 ± 5.66 / 27.64 ± 3.92 |
40.65 ± 2.10 / 57.47 ± 2.56 |
7.48 ± 2.51 / 46.56 ± 4.52 |
52.71 ± 0.70 / 59.07 ± 0.65 |
12.5.2 |
12.3.2 |
12.3.2 |
12.4.0 |
| KBLab/megatron-bert-base-swedish-cased-125k |
135 |
64 |
512 |
True |
15,763 ± 2,523 / 4,238 ± 1,370 |
2.78 |
53.93 ± 1.88 / 52.04 ± 1.64 |
36.31 ± 1.60 / 57.37 ± 1.15 |
23.46 ± 1.17 / 58.91 ± 1.36 |
27.85 ± 2.53 / 34.34 ± 2.51 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| NorwAI/NorwAI-Mistral-7B (few-shot) |
7537 |
68 |
4096 |
True |
3,035 ± 503 / 911 ± 300 |
2.78 |
21.47 ± 3.87 / 16.98 ± 3.19 |
48.39 ± 0.66 / 64.51 ± 1.38 |
12.46 ± 2.22 / 52.33 ± 3.21 |
52.51 ± 1.57 / 58.49 ± 1.58 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) |
8030 |
128 |
131072 |
True |
2,841 ± 509 / 865 ± 263 |
2.80 |
27.60 ± 3.21 / 25.68 ± 2.70 |
37.08 ± 2.51 / 54.37 ± 2.72 |
10.84 ± 2.11 / 49.05 ± 4.51 |
58.67 ± 0.97 / 63.61 ± 0.83 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| NorwAI/NorwAI-Llama2-7B (few-shot) |
7033 |
68 |
4096 |
True |
4,438 ± 1,128 / 1,028 ± 346 |
2.83 |
16.72 ± 2.23 / 15.96 ± 2.08 |
45.89 ± 2.13 / 63.12 ± 1.98 |
11.25 ± 2.33 / 51.88 ± 2.35 |
53.17 ± 0.79 / 59.30 ± 0.66 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| flax-community/swe-roberta-wiki-oscar |
125 |
50 |
512 |
True |
15,437 ± 2,628 / 3,834 ± 1,252 |
2.83 |
55.98 ± 2.24 / 52.41 ± 1.98 |
36.66 ± 1.27 / 57.48 ± 0.82 |
22.69 ± 5.37 / 59.46 ± 3.21 |
24.81 ± 1.85 / 29.08 ± 1.74 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| norallm/normistral-7b-warm (few-shot) |
7248 |
33 |
2048 |
True |
3,175 ± 456 / 1,186 ± 354 |
2.83 |
37.80 ± 2.75 / 24.74 ± 2.30 |
40.51 ± 1.75 / 55.84 ± 2.46 |
3.35 ± 1.84 / 44.60 ± 4.67 |
49.08 ± 1.74 / 55.58 ± 1.57 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| Qwen/Qwen1.5-4B (few-shot) |
3950 |
152 |
32768 |
True |
3,248 ± 739 / 761 ± 252 |
2.84 |
32.28 ± 3.16 / 23.24 ± 3.51 |
39.62 ± 2.39 / 56.09 ± 2.89 |
5.38 ± 2.18 / 36.31 ± 1.96 |
54.16 ± 0.89 / 60.63 ± 0.75 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
| mideind/IceBERT-xlmr-ic3 |
278 |
250 |
512 |
True |
11,004 ± 2,244 / 2,324 ± 761 |
2.87 |
58.49 ± 1.50 / 56.15 ± 1.57 |
37.47 ± 2.55 / 56.94 ± 3.79 |
6.71 ± 5.56 / 45.62 ± 6.46 |
30.60 ± 1.23 / 35.52 ± 1.09 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| google/gemma-7b-it (few-shot) |
8538 |
256 |
8192 |
False |
1,792 ± 249 / 668 ± 203 |
2.88 |
43.83 ± 1.93 / 34.03 ± 1.59 |
29.21 ± 1.92 / 52.86 ± 1.54 |
12.96 ± 1.67 / 55.83 ± 0.88 |
49.76 ± 0.59 / 56.52 ± 0.50 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| HPLT/gpt-33b-nordic-prerelease (few-shot) |
33119 |
131 |
4099 |
True |
501 ± 50 / 238 ± 69 |
2.90 |
25.35 ± 3.59 / 17.77 ± 2.25 |
44.70 ± 1.80 / 60.56 ± 2.77 |
1.43 ± 1.60 / 34.16 ± 1.04 |
52.29 ± 0.96 / 58.32 ± 0.75 |
12.9.1 |
12.9.1 |
12.10.0 |
12.10.0 |
| ibm-granite/granite-3b-code-base-2k (few-shot) |
3483 |
49 |
2048 |
True |
2,732 ± 868 / 662 ± 238 |
2.94 |
38.62 ± 3.40 / 27.71 ± 3.01 |
35.47 ± 1.35 / 52.70 ± 2.05 |
5.07 ± 1.76 / 43.91 ± 4.86 |
45.21 ± 0.84 / 50.96 ± 0.94 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| stabilityai/stablelm-2-1_6b (few-shot) |
1645 |
100 |
4096 |
True |
7,259 ± 2,120 / 1,240 ± 432 |
2.97 |
28.45 ± 1.61 / 22.90 ± 1.63 |
39.09 ± 1.15 / 45.25 ± 0.82 |
1.43 ± 1.26 / 37.98 ± 2.74 |
51.67 ± 2.31 / 57.34 ± 2.60 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
| KBLab/bert-base-swedish-cased-new |
135 |
64 |
512 |
True |
15,933 ± 2,541 / 4,289 ± 1,376 |
2.98 |
59.37 ± 1.94 / 57.15 ± 1.78 |
38.46 ± 0.77 / 58.57 ± 0.67 |
4.61 ± 2.95 / 49.70 ± 2.34 |
23.13 ± 2.72 / 28.47 ± 2.30 |
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 |
2.98 |
59.94 ± 2.06 / 58.86 ± 1.85 |
39.16 ± 1.75 / 58.91 ± 1.21 |
2.16 ± 1.61 / 48.93 ± 2.35 |
24.69 ± 1.58 / 28.57 ± 1.42 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) |
20918 |
64 |
2048 |
True |
1,875 ± 673 / 261 ± 91 |
2.99 |
27.41 ± 3.48 / 19.03 ± 1.76 |
30.23 ± 3.43 / 41.05 ± 4.38 |
11.34 ± 2.73 / 46.62 ± 5.48 |
52.80 ± 0.68 / 59.56 ± 0.57 |
9.3.1 |
12.10.0 |
9.3.1 |
9.3.1 |
| HPLT/gpt-13b-nordic-prerelease (few-shot) |
14030 |
131 |
4099 |
True |
3,520 ± 736 / 823 ± 273 |
2.99 |
28.72 ± 2.61 / 20.53 ± 2.46 |
37.19 ± 3.92 / 53.63 ± 4.06 |
2.96 ± 1.73 / 46.67 ± 3.16 |
49.53 ± 1.49 / 54.83 ± 1.67 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| allenai/OLMo-1.7-7B-hf (few-shot) |
6888 |
50 |
4096 |
True |
3,371 ± 876 / 561 ± 184 |
3.00 |
33.80 ± 2.66 / 25.32 ± 3.06 |
31.57 ± 2.65 / 46.48 ± 3.84 |
2.76 ± 1.76 / 44.96 ± 3.93 |
54.20 ± 1.63 / 59.50 ± 1.54 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.5 |
| Addedk/mbert-swedish-distilled-cased |
135 |
120 |
512 |
True |
26,091 ± 5,835 / 5,209 ± 1,690 |
3.01 |
56.36 ± 1.95 / 53.98 ± 1.92 |
31.16 ± 2.06 / 52.25 ± 2.48 |
21.08 ± 2.54 / 56.96 ± 2.74 |
19.63 ± 2.13 / 23.61 ± 2.07 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) |
3374 |
49 |
4096 |
True |
10,246 ± 3,021 / 1,629 ± 550 |
3.01 |
37.37 ± 2.46 / 26.81 ± 2.24 |
31.44 ± 1.82 / 48.96 ± 2.35 |
5.27 ± 2.40 / 40.63 ± 4.68 |
48.41 ± 1.10 / 55.05 ± 0.97 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| meta-llama/Llama-3.2-1B-Instruct (few-shot) |
1236 |
128 |
131073 |
False |
7,436 ± 1,846 / 1,508 ± 479 |
3.01 |
35.45 ± 2.41 / 30.39 ± 1.72 |
36.94 ± 1.08 / 49.24 ± 1.41 |
1.12 ± 2.21 / 44.63 ± 2.92 |
44.61 ± 0.84 / 53.34 ± 0.63 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| ibm-granite/granite-3.0-2b-base (few-shot) |
2534 |
49 |
4097 |
True |
10,187 ± 2,363 / 2,204 ± 737 |
3.02 |
32.34 ± 3.77 / 24.48 ± 3.17 |
29.50 ± 3.63 / 42.61 ± 4.86 |
3.89 ± 1.49 / 37.29 ± 3.65 |
53.67 ± 0.84 / 59.15 ± 0.69 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| Addedk/kbbert-distilled-cased |
82 |
50 |
512 |
True |
29,698 ± 4,287 / 8,677 ± 2,776 |
3.03 |
57.84 ± 1.47 / 54.75 ± 1.23 |
31.18 ± 0.94 / 53.05 ± 1.16 |
13.25 ± 3.71 / 53.61 ± 2.94 |
22.73 ± 1.16 / 27.50 ± 1.00 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| google/gemma-2-2b (few-shot) |
2614 |
256 |
8193 |
True |
5,235 ± 1,226 / 1,154 ± 366 |
3.03 |
17.29 ± 2.84 / 13.87 ± 2.03 |
34.94 ± 2.71 / 42.58 ± 3.24 |
6.39 ± 2.41 / 45.03 ± 4.32 |
54.94 ± 1.00 / 59.95 ± 1.03 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| ibm-granite/granite-3b-code-instruct-2k (few-shot) |
3483 |
49 |
2048 |
True |
9,059 ± 1,947 / 2,201 ± 728 |
3.03 |
37.21 ± 2.75 / 27.74 ± 2.59 |
31.54 ± 2.39 / 50.61 ± 2.88 |
6.30 ± 1.61 / 49.09 ± 2.54 |
44.86 ± 0.80 / 51.51 ± 0.91 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| LumiOpen/Viking-7B (few-shot) |
7550 |
131 |
4096 |
True |
4,969 ± 1,109 / 1,134 ± 374 |
3.04 |
23.98 ± 3.74 / 17.18 ± 2.86 |
38.74 ± 2.15 / 49.48 ± 3.14 |
1.04 ± 1.57 / 33.67 ± 0.22 |
50.17 ± 0.92 / 56.29 ± 0.78 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| MaLA-LM/emma-500-llama2-7b (few-shot) |
6738 |
32 |
4096 |
True |
6,275 ± 1,193 / 1,755 ± 578 |
3.04 |
28.18 ± 3.39 / 24.25 ± 3.30 |
29.32 ± 7.19 / 41.08 ± 8.29 |
2.90 ± 2.18 / 37.93 ± 4.98 |
56.48 ± 1.11 / 62.92 ± 0.96 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| birgermoell/roberta-swedish-scandi |
125 |
50 |
512 |
True |
15,385 ± 2,815 / 3,578 ± 1,177 |
3.07 |
49.22 ± 1.85 / 47.83 ± 1.59 |
33.51 ± 1.46 / 54.93 ± 1.21 |
12.08 ± 8.71 / 54.24 ± 4.71 |
24.49 ± 1.67 / 28.88 ± 1.71 |
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 |
3.07 |
19.97 ± 3.91 / 16.51 ± 3.20 |
40.21 ± 1.00 / 46.73 ± 1.82 |
2.27 ± 2.39 / 38.71 ± 4.03 |
50.55 ± 1.22 / 56.27 ± 1.09 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
| sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking |
135 |
120 |
512 |
True |
33,753 ± 8,349 / 5,937 ± 1,946 |
3.13 |
54.48 ± 2.16 / 52.85 ± 2.28 |
36.60 ± 1.60 / 56.93 ± 1.48 |
8.84 ± 5.33 / 51.76 ± 3.80 |
15.42 ± 1.70 / 21.36 ± 1.94 |
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 |
3.13 |
54.48 ± 2.16 / 52.85 ± 2.28 |
36.60 ± 1.60 / 56.93 ± 1.48 |
8.84 ± 5.33 / 51.76 ± 3.80 |
13.97 ± 1.75 / 19.76 ± 2.26 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| utter-project/EuroLLM-1.7B-Instruct (few-shot) |
1657 |
128 |
4096 |
True |
15,009 ± 4,072 / 2,702 ± 878 |
3.13 |
19.61 ± 2.68 / 17.44 ± 2.64 |
37.92 ± 1.74 / 46.23 ± 1.91 |
2.81 ± 1.13 / 38.15 ± 2.81 |
50.05 ± 1.02 / 56.82 ± 0.77 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| HPLT/gpt-7b-nordic-prerelease (few-shot) |
7550 |
131 |
4096 |
True |
5,404 ± 931 / 1,638 ± 542 |
3.16 |
21.98 ± 3.33 / 18.42 ± 2.62 |
37.77 ± 3.06 / 55.35 ± 4.51 |
1.26 ± 1.86 / 34.03 ± 0.86 |
46.03 ± 1.44 / 52.54 ± 1.95 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| ibm-granite/granite-7b-base (few-shot) |
6738 |
32 |
2048 |
True |
4,405 ± 1,098 / 1,032 ± 345 |
3.16 |
24.93 ± 4.36 / 22.23 ± 3.32 |
31.65 ± 2.94 / 51.95 ± 2.92 |
0.06 ± 1.20 / 34.30 ± 1.04 |
51.47 ± 1.82 / 57.00 ± 1.94 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| meta-llama/Llama-3.2-1B (few-shot) |
1236 |
128 |
131073 |
True |
7,577 ± 1,884 / 1,555 ± 492 |
3.17 |
19.82 ± 4.70 / 17.20 ± 3.57 |
35.97 ± 3.00 / 49.88 ± 3.80 |
2.14 ± 2.61 / 44.16 ± 4.48 |
46.59 ± 5.44 / 51.92 ± 6.14 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) |
20918 |
64 |
2048 |
True |
1,831 ± 587 / 268 ± 90 |
3.20 |
15.94 ± 1.59 / 14.05 ± 1.45 |
32.78 ± 4.04 / 47.79 ± 5.25 |
7.86 ± 1.87 / 41.91 ± 2.25 |
52.16 ± 0.84 / 60.27 ± 0.51 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| microsoft/Phi-3-mini-128k-instruct (few-shot) |
3821 |
32 |
131072 |
True |
7,312 ± 1,668 / 1,609 ± 525 |
3.21 |
4.51 ± 2.12 / 3.71 ± 1.76 |
40.85 ± 1.26 / 59.79 ± 1.32 |
5.43 ± 1.74 / 46.21 ± 4.13 |
51.76 ± 0.73 / 58.44 ± 0.54 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
| EuropeanParliament/EUBERT |
94 |
66 |
512 |
True |
20,070 ± 3,977 / 4,400 ± 1,435 |
3.22 |
41.09 ± 1.83 / 40.40 ± 1.82 |
27.33 ± 1.92 / 49.78 ± 1.38 |
21.58 ± 3.92 / 59.41 ± 2.63 |
20.68 ± 0.82 / 26.68 ± 0.91 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| google/gemma-2b-it (few-shot) |
2506 |
256 |
8192 |
False |
6,471 ± 1,142 / 1,961 ± 584 |
3.23 |
24.44 ± 2.59 / 17.37 ± 2.03 |
34.03 ± 2.50 / 52.42 ± 2.16 |
2.25 ± 1.28 / 42.33 ± 3.11 |
42.12 ± 1.18 / 49.76 ± 1.22 |
12.5.2 |
12.1.0 |
12.1.0 |
12.4.0 |
| ibm-granite/granite-7b-instruct (few-shot) |
6738 |
32 |
4096 |
True |
3,136 ± 558 / 942 ± 290 |
3.23 |
23.87 ± 1.61 / 20.19 ± 1.60 |
31.21 ± 1.84 / 50.13 ± 2.79 |
2.04 ± 1.44 / 45.31 ± 3.73 |
47.36 ± 0.81 / 54.08 ± 0.86 |
13.2.0 |
13.0.0 |
13.2.0 |
13.2.0 |
| 01-ai/Yi-1.5-6B (few-shot) |
6061 |
64 |
4097 |
True |
2,867 ± 550 / 793 ± 253 |
3.27 |
35.21 ± 2.52 / 23.65 ± 2.52 |
12.73 ± 2.87 / 22.69 ± 1.80 |
4.75 ± 2.45 / 35.71 ± 3.01 |
55.95 ± 1.09 / 61.53 ± 0.75 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| allenai/OLMo-7B (few-shot) |
6888 |
50 |
2051 |
True |
5,403 ± 1,133 / 1,294 ± 423 |
3.27 |
26.76 ± 3.11 / 19.46 ± 2.38 |
30.76 ± 4.38 / 44.83 ± 4.36 |
0.55 ± 1.73 / 39.40 ± 4.57 |
45.65 ± 1.22 / 52.49 ± 1.01 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| dbmdz/bert-base-historic-multilingual-cased |
111 |
32 |
512 |
True |
20,047 ± 4,407 / 3,844 ± 1,259 |
3.29 |
47.61 ± 1.71 / 45.91 ± 1.91 |
24.17 ± 1.92 / 43.75 ± 2.75 |
8.14 ± 3.76 / 51.78 ± 1.81 |
25.19 ± 1.29 / 30.51 ± 1.06 |
0.0.0 |
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 |
3.29 |
49.88 ± 2.14 / 46.74 ± 1.94 |
27.93 ± 0.66 / 50.86 ± 0.42 |
5.42 ± 2.85 / 48.29 ± 3.93 |
22.93 ± 0.81 / 28.62 ± 0.62 |
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 |
3.29 |
22.31 ± 2.55 / 19.30 ± 2.14 |
34.05 ± 2.37 / 52.43 ± 2.46 |
0.70 ± 1.11 / 40.47 ± 3.04 |
41.82 ± 2.07 / 48.91 ± 2.47 |
9.1.2 |
9.1.2 |
9.1.2 |
12.4.0 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) |
7111 |
64 |
2048 |
True |
2,351 ± 448 / 707 ± 216 |
3.30 |
20.84 ± 2.40 / 16.93 ± 1.98 |
18.07 ± 3.41 / 27.21 ± 2.91 |
10.54 ± 2.38 / 48.37 ± 3.58 |
51.22 ± 0.94 / 57.23 ± 0.68 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
| AI-Sweden-Models/gpt-sw3-6.7b (few-shot) |
7111 |
64 |
2048 |
True |
2,285 ± 443 / 671 ± 205 |
3.40 |
18.23 ± 5.87 / 14.77 ± 3.36 |
22.71 ± 5.21 / 35.11 ± 6.59 |
5.03 ± 2.51 / 49.00 ± 2.64 |
49.11 ± 1.16 / 55.56 ± 1.21 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) |
1711 |
49 |
8192 |
True |
15,971 ± 3,654 / 3,609 ± 1,197 |
3.40 |
29.44 ± 1.81 / 20.31 ± 1.68 |
18.49 ± 2.47 / 35.29 ± 2.83 |
1.73 ± 1.63 / 38.18 ± 4.15 |
44.39 ± 0.80 / 50.40 ± 1.02 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) |
1445 |
64 |
2048 |
True |
4,544 ± 1,000 / 1,106 ± 359 |
3.41 |
14.73 ± 1.84 / 14.44 ± 1.74 |
27.14 ± 1.93 / 42.34 ± 2.51 |
2.65 ± 1.66 / 40.63 ± 4.02 |
46.38 ± 0.61 / 54.18 ± 0.52 |
12.5.2 |
9.3.1 |
12.1.0 |
12.4.0 |
| AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) |
471 |
64 |
2048 |
True |
5,855 ± 1,373 / 1,223 ± 391 |
3.44 |
11.28 ± 0.96 / 11.02 ± 0.85 |
34.94 ± 3.80 / 49.66 ± 3.96 |
2.08 ± 1.48 / 45.41 ± 3.83 |
36.59 ± 1.41 / 42.03 ± 1.44 |
12.5.2 |
9.3.2 |
12.1.0 |
12.4.0 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) |
1837 |
152 |
32768 |
False |
8,304 ± 1,846 / 1,933 ± 617 |
3.45 |
18.00 ± 2.52 / 14.88 ± 1.68 |
26.58 ± 2.81 / 45.88 ± 3.40 |
0.63 ± 1.48 / 33.42 ± 0.28 |
41.66 ± 1.48 / 49.40 ± 1.53 |
12.5.2 |
11.0.0 |
12.1.0 |
12.5.0 |
| ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) |
1335 |
49 |
4096 |
True |
7,964 ± 2,255 / 1,299 ± 433 |
3.45 |
30.63 ± 2.60 / 20.55 ± 1.52 |
22.35 ± 2.26 / 44.97 ± 2.66 |
1.95 ± 1.48 / 46.94 ± 1.55 |
37.30 ± 0.69 / 43.95 ± 1.09 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| sentence-transformers/distiluse-base-multilingual-cased-v1 |
135 |
120 |
512 |
True |
34,042 ± 8,482 / 5,951 ± 1,950 |
3.45 |
46.78 ± 1.50 / 44.41 ± 1.78 |
27.78 ± 2.22 / 49.38 ± 2.89 |
3.04 ± 1.85 / 46.85 ± 3.03 |
15.52 ± 0.98 / 23.22 ± 0.86 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| NLPnorth/snakmodel-7b-base (few-shot) |
6738 |
32 |
4096 |
True |
3,083 ± 531 / 983 ± 297 |
3.49 |
23.74 ± 3.07 / 16.59 ± 1.61 |
44.71 ± 1.49 / 54.12 ± 2.35 |
21.24 ± 2.55 / 57.23 ± 2.64 |
0.00 ± 0.00 / 19.32 ± 0.59 |
13.2.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| AI-Sweden-Models/gpt-sw3-1.3b (few-shot) |
1445 |
64 |
2048 |
True |
4,608 ± 988 / 1,115 ± 354 |
3.50 |
8.80 ± 5.54 / 8.63 ± 4.48 |
28.65 ± 2.81 / 47.83 ± 3.55 |
2.84 ± 1.81 / 49.21 ± 1.95 |
45.34 ± 0.88 / 51.59 ± 0.80 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
| NorwAI/NorwAI-Mistral-7B-instruct (few-shot) |
7537 |
68 |
4096 |
False |
3,027 ± 503 / 903 ± 296 |
3.51 |
13.78 ± 2.85 / 11.90 ± 2.13 |
42.16 ± 0.68 / 45.21 ± 0.45 |
3.52 ± 1.90 / 39.81 ± 3.18 |
20.02 ± 2.31 / 31.67 ± 2.19 |
12.10.5 |
12.10.4 |
12.10.5 |
12.10.5 |
| Qwen/Qwen1.5-1.8B (few-shot) |
1837 |
152 |
32768 |
True |
5,666 ± 1,328 / 1,256 ± 408 |
3.51 |
9.83 ± 3.50 / 8.97 ± 2.64 |
29.03 ± 2.48 / 46.75 ± 3.69 |
0.56 ± 0.87 / 33.34 ± 0.23 |
46.43 ± 0.74 / 53.20 ± 0.47 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
| NbAiLab/nb-gpt-j-6B-alpaca (few-shot) |
6055 |
50 |
1024 |
False |
2,607 ± 592 / 680 ± 208 |
3.52 |
12.95 ± 3.80 / 11.68 ± 2.31 |
27.68 ± 3.64 / 46.61 ± 4.11 |
1.65 ± 1.96 / 47.94 ± 2.55 |
38.60 ± 0.65 / 47.40 ± 0.64 |
9.3.1 |
10.0.1 |
10.0.1 |
12.4.0 |
| AI-Sweden-Models/gpt-sw3-356m (few-shot) |
471 |
64 |
2048 |
True |
5,758 ± 1,348 / 1,215 ± 391 |
3.54 |
16.13 ± 4.02 / 14.90 ± 3.13 |
27.61 ± 2.14 / 39.77 ± 1.85 |
1.96 ± 2.25 / 38.40 ± 2.99 |
34.79 ± 1.52 / 39.67 ± 1.69 |
9.3.1 |
9.3.1 |
9.3.2 |
12.5.1 |
| ibm-granite/granite-3.0-3b-a800m-base (few-shot) |
3374 |
49 |
4096 |
True |
10,504 ± 3,028 / 1,678 ± 559 |
3.56 |
31.80 ± 2.87 / 23.06 ± 2.09 |
6.85 ± 2.25 / 19.42 ± 0.91 |
0.97 ± 1.10 / 36.48 ± 3.91 |
49.83 ± 1.73 / 55.19 ± 1.84 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| allenai/OLMo-7B-Twin-2T (few-shot) |
6888 |
50 |
2051 |
True |
5,484 ± 1,125 / 1,317 ± 425 |
3.62 |
7.52 ± 3.92 / 6.60 ± 2.84 |
18.30 ± 3.89 / 27.62 ± 5.78 |
3.23 ± 1.94 / 45.74 ± 3.06 |
46.35 ± 1.42 / 51.37 ± 1.43 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| dbmdz/bert-mini-historic-multilingual-cased |
12 |
32 |
512 |
True |
47,122 ± 9,661 / 9,714 ± 3,152 |
3.62 |
41.70 ± 1.80 / 38.74 ± 1.82 |
26.03 ± 0.90 / 48.46 ± 1.21 |
2.19 ± 1.92 / 49.80 ± 1.39 |
13.82 ± 0.82 / 20.76 ± 0.91 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| HuggingFaceTB/SmolLM2-1.7B (few-shot) |
1711 |
49 |
8192 |
True |
16,249 ± 3,690 / 3,689 ± 1,226 |
3.63 |
24.47 ± 3.42 / 18.70 ± 2.18 |
9.93 ± 2.70 / 23.57 ± 3.00 |
1.22 ± 1.81 / 35.31 ± 1.93 |
42.09 ± 2.63 / 47.54 ± 2.94 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| alexanderfalk/danbert-small-cased |
83 |
52 |
512 |
True |
30,013 ± 4,309 / 8,840 ± 2,859 |
3.65 |
33.05 ± 1.28 / 31.68 ± 1.05 |
30.67 ± 1.28 / 51.76 ± 1.28 |
13.01 ± 5.22 / 55.11 ± 3.40 |
1.56 ± 0.88 / 5.30 ± 2.21 |
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 |
3.65 |
14.13 ± 3.50 / 12.15 ± 3.14 |
26.31 ± 5.33 / 44.07 ± 6.36 |
-0.54 ± 1.46 / 44.56 ± 3.34 |
32.12 ± 1.62 / 38.99 ± 1.42 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
| ibm-granite/granite-3.0-1b-a400m-base (few-shot) |
1385 |
49 |
4096 |
True |
7,808 ± 2,183 / 1,289 ± 428 |
3.67 |
16.82 ± 3.53 / 14.28 ± 3.01 |
17.52 ± 2.86 / 27.96 ± 2.94 |
1.53 ± 2.06 / 36.59 ± 3.39 |
40.21 ± 1.57 / 44.65 ± 1.79 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) |
7111 |
64 |
2048 |
True |
2,383 ± 451 / 718 ± 221 |
3.71 |
15.35 ± 1.38 / 14.74 ± 1.30 |
2.85 ± 1.54 / 18.05 ± 0.23 |
10.99 ± 2.52 / 54.07 ± 1.93 |
50.51 ± 0.90 / 58.22 ± 0.76 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
| jannesg/bertsson |
124 |
50 |
512 |
True |
15,314 ± 2,786 / 3,666 ± 1,201 |
3.72 |
32.63 ± 1.06 / 32.76 ± 1.02 |
24.11 ± 1.74 / 44.78 ± 2.78 |
2.91 ± 1.07 / 46.98 ± 3.78 |
15.37 ± 1.22 / 22.17 ± 1.24 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| state-spaces/mamba-2.8b-hf (few-shot) |
2768 |
50 |
32769 |
True |
2,722 ± 495 / 766 ± 250 |
3.72 |
17.58 ± 1.95 / 15.48 ± 1.39 |
10.47 ± 3.28 / 19.91 ± 2.67 |
1.23 ± 1.53 / 36.92 ± 3.53 |
42.56 ± 1.07 / 49.37 ± 1.19 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| KBLab/albert-base-swedish-cased-alpha |
14 |
50 |
512 |
True |
15,925 ± 2,281 / 4,780 ± 1,554 |
3.74 |
29.90 ± 7.25 / 28.27 ± 6.86 |
19.79 ± 1.67 / 42.09 ± 1.98 |
6.15 ± 1.66 / 52.04 ± 1.49 |
15.96 ± 2.06 / 21.55 ± 2.17 |
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 |
3.79 |
26.96 ± 1.31 / 25.63 ± 1.35 |
30.13 ± 2.10 / 46.78 ± 4.49 |
2.01 ± 1.29 / 48.79 ± 1.65 |
8.22 ± 1.11 / 16.40 ± 1.79 |
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 |
3.79 |
26.96 ± 1.31 / 25.63 ± 1.35 |
30.13 ± 2.10 / 46.78 ± 4.49 |
2.01 ± 1.29 / 48.79 ± 1.65 |
8.25 ± 1.03 / 16.49 ± 1.77 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) |
620 |
152 |
32768 |
False |
11,740 ± 3,000 / 2,209 ± 721 |
3.83 |
17.38 ± 2.04 / 15.74 ± 1.99 |
10.72 ± 3.35 / 25.21 ± 3.80 |
1.32 ± 1.08 / 42.05 ± 3.69 |
34.58 ± 0.97 / 40.37 ± 1.02 |
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 |
3.84 |
36.51 ± 2.44 / 36.31 ± 2.71 |
22.07 ± 2.24 / 44.70 ± 3.72 |
1.63 ± 1.49 / 45.36 ± 3.07 |
3.09 ± 1.00 / 9.48 ± 1.61 |
0.0.0 |
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 |
3.86 |
19.01 ± 1.91 / 17.08 ± 1.83 |
8.88 ± 1.86 / 24.27 ± 2.45 |
0.66 ± 1.41 / 37.98 ± 4.14 |
32.78 ± 2.33 / 38.31 ± 2.81 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
| allenai/OLMo-1B (few-shot) |
1177 |
50 |
2051 |
True |
8,536 ± 1,926 / 1,940 ± 619 |
3.91 |
13.39 ± 2.60 / 12.39 ± 2.46 |
17.94 ± 5.58 / 32.80 ± 3.63 |
-2.02 ± 2.28 / 40.63 ± 4.12 |
23.65 ± 2.96 / 26.24 ± 3.20 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
| dbmdz/bert-tiny-historic-multilingual-cased |
5 |
32 |
512 |
True |
78,027 ± 15,466 / 17,064 ± 5,335 |
3.95 |
33.62 ± 1.57 / 31.69 ± 1.40 |
20.71 ± 1.68 / 40.07 ± 2.65 |
1.19 ± 1.08 / 48.46 ± 1.34 |
4.19 ± 0.88 / 7.68 ± 1.59 |
12.6.1 |
0.0.0 |
0.0.0 |
0.0.0 |
| RuterNorway/Llama-2-7b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
10,890 ± 2,686 / 2,186 ± 750 |
4.10 |
10.12 ± 1.24 / 9.84 ± 1.12 |
10.65 ± 3.65 / 28.33 ± 5.27 |
-0.66 ± 1.24 / 33.61 ± 0.26 |
26.08 ± 3.96 / 28.87 ± 4.21 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
| RabotaRu/HRBert-mini |
80 |
200 |
512 |
True |
54,951 ± 11,500 / 11,401 ± 3,819 |
4.15 |
22.21 ± 0.75 / 21.70 ± 0.70 |
20.33 ± 1.89 / 40.95 ± 2.78 |
0.90 ± 1.40 / 48.85 ± 2.60 |
2.73 ± 0.64 / 7.23 ± 1.45 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| HuggingFaceTB/SmolLM2-360M (few-shot) |
362 |
49 |
8192 |
True |
22,023 ± 6,203 / 3,675 ± 1,231 |
4.18 |
12.68 ± 1.39 / 12.32 ± 1.19 |
3.61 ± 2.69 / 19.01 ± 3.95 |
1.79 ± 0.97 / 36.23 ± 3.19 |
28.12 ± 3.14 / 32.48 ± 3.57 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| NbAiLab/nb-gpt-j-6B-v2 (few-shot) |
6051 |
50 |
1024 |
False |
2,556 ± 580 / 681 ± 214 |
4.18 |
0.24 ± 0.25 / 0.25 ± 0.21 |
27.80 ± 6.39 / 43.80 ± 5.16 |
0.56 ± 0.51 / 34.04 ± 1.28 |
6.84 ± 6.83 / 21.33 ± 6.27 |
9.3.1 |
10.0.1 |
11.0.0 |
12.5.1 |
| AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot) |
186 |
64 |
2048 |
True |
7,717 ± 1,553 / 2,013 ± 625 |
4.21 |
13.98 ± 1.54 / 13.46 ± 1.42 |
6.37 ± 3.38 / 25.43 ± 4.09 |
0.41 ± 0.80 / 33.31 ± 0.24 |
20.46 ± 2.90 / 24.27 ± 3.23 |
11.0.0 |
9.3.2 |
11.0.0 |
12.4.0 |
| HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) |
362 |
49 |
8192 |
True |
21,777 ± 6,115 / 3,617 ± 1,211 |
4.26 |
8.97 ± 3.18 / 8.62 ± 2.72 |
2.66 ± 2.70 / 16.29 ± 2.34 |
1.65 ± 1.38 / 44.50 ± 3.21 |
24.92 ± 1.68 / 28.73 ± 1.90 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| fresh-xlm-roberta-base |
278 |
250 |
512 |
True |
2,214 ± 94 / 1,494 ± 229 |
4.27 |
16.04 ± 2.47 / 15.60 ± 2.62 |
17.37 ± 3.82 / 36.83 ± 4.86 |
1.34 ± 0.97 / 35.45 ± 3.20 |
1.58 ± 0.51 / 6.64 ± 1.56 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| AI-Sweden-Models/gpt-sw3-126m (few-shot) |
186 |
64 |
2048 |
True |
8,958 ± 1,815 / 2,240 ± 696 |
4.29 |
3.43 ± 2.66 / 5.56 ± 1.90 |
9.18 ± 4.25 / 26.36 ± 3.94 |
-0.22 ± 1.53 / 34.20 ± 0.84 |
16.64 ± 3.32 / 19.46 ± 3.63 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
| fresh-electra-small |
14 |
31 |
512 |
True |
7,840 ± 1,538 / 3,024 ± 438 |
4.30 |
12.87 ± 1.63 / 13.23 ± 1.55 |
18.61 ± 4.17 / 35.23 ± 3.90 |
0.30 ± 1.39 / 37.84 ± 3.88 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
| HuggingFaceTB/SmolLM2-135M (few-shot) |
135 |
49 |
8192 |
True |
26,346 ± 7,812 / 4,082 ± 1,372 |
4.31 |
13.72 ± 1.83 / 13.41 ± 1.52 |
3.79 ± 3.11 / 21.06 ± 4.74 |
-0.45 ± 0.70 / 39.69 ± 4.95 |
14.69 ± 2.86 / 17.28 ± 3.01 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) |
7537 |
68 |
4096 |
True |
3,024 ± 496 / 909 ± 301 |
4.31 |
12.82 ± 2.64 / 12.37 ± 1.95 |
3.55 ± 3.64 / 22.75 ± 4.02 |
0.68 ± 1.41 / 35.13 ± 0.98 |
19.85 ± 1.75 / 24.31 ± 1.88 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) |
135 |
49 |
8192 |
True |
25,602 ± 7,583 / 3,953 ± 1,325 |
4.39 |
12.11 ± 1.07 / 11.48 ± 1.07 |
2.61 ± 3.22 / 18.95 ± 3.93 |
0.25 ± 1.87 / 39.65 ± 4.00 |
14.02 ± 2.56 / 16.74 ± 2.74 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| NbAiLab/nb-gpt-j-6B@sharded (few-shot) |
unknown |
50 |
1024 |
True |
2,630 ± 605 / 684 ± 217 |
4.47 |
0.36 ± 0.40 / 1.82 ± 1.16 |
11.00 ± 7.09 / 26.09 ± 6.96 |
-0.11 ± 1.16 / 33.76 ± 0.86 |
5.15 ± 6.60 / 17.35 ± 5.86 |
9.3.1 |
10.0.1 |
10.0.1 |
12.5.1 |
| RJuro/kanelsnegl-v0.1 (few-shot) |
7242 |
32 |
512 |
True |
5,847 ± 1,029 / 1,640 ± 525 |
4.60 |
0.00 ± 0.00 / 0.00 ± 0.00 |
13.00 ± 4.17 / 24.41 ± 3.12 |
0.00 ± 0.00 / 33.25 ± 0.23 |
0.00 ± 0.00 / 12.39 ± 1.52 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
| RJuro/kanelsnegl-v0.2 (few-shot) |
7242 |
32 |
512 |
True |
1,373 ± 120 / 709 ± 172 |
4.72 |
0.00 ± 0.00 / 0.00 ± 0.00 |
4.81 ± 2.69 / 19.31 ± 1.01 |
0.00 ± 0.00 / 33.25 ± 0.23 |
0.00 ± 0.00 / 30.05 ± 4.99 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| ai-forever/mGPT (few-shot) |
unknown |
100 |
1024 |
True |
11,734 ± 3,124 / 2,174 ± 720 |
4.74 |
0.65 ± 0.68 / 0.59 ± 0.63 |
2.61 ± 2.75 / 20.51 ± 2.48 |
-0.73 ± 1.72 / 41.15 ± 3.71 |
1.99 ± 1.69 / 2.68 ± 1.87 |
9.3.1 |
10.0.1 |
11.0.0 |
12.5.1 |
| NorGLM/NorGPT-369M (few-shot) |
unknown |
64 |
1024 |
True |
19,896 ± 5,099 / 3,848 ± 1,251 |
4.77 |
1.13 ± 1.19 / 0.97 ± 1.03 |
2.06 ± 2.30 / 20.38 ± 2.71 |
-0.36 ± 0.97 / 41.52 ± 4.00 |
0.32 ± 0.12 / 4.20 ± 0.61 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| peter-sk/gpt-neox-da (few-shot) |
1515 |
50 |
1024 |
True |
6,025 ± 1,442 / 1,342 ± 431 |
4.82 |
0.64 ± 0.89 / 0.52 ± 0.69 |
-0.52 ± 1.72 / 28.55 ± 1.60 |
-0.02 ± 1.55 / 36.82 ± 2.52 |
0.48 ± 0.27 / 2.89 ± 0.53 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| ssmits/Falcon2-5.5B-multilingual (few-shot) |
5465 |
65 |
8192 |
True |
7,692 ± 1,423 / 1,960 ± 644 |
4.83 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 18.12 ± 0.19 |
0.00 ± 0.00 / 33.25 ± 0.23 |
0.02 ± 0.02 / 0.03 ± 0.03 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| Sigurdur/icebreaker (few-shot) |
110 |
32 |
1024 |
False |
48,619 ± 7,681 / 13,831 ± 4,404 |
4.84 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 18.12 ± 0.19 |
0.00 ± 0.00 / 33.25 ± 0.23 |
0.00 ± 0.00 / 0.04 ± 0.01 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| Sigurdur/qa-icebreaker (few-shot) |
110 |
32 |
1024 |
False |
44,889 ± 6,944 / 13,506 ± 4,256 |
4.84 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.07 ± 0.70 / 27.86 ± 0.36 |
0.00 ± 0.00 / 33.25 ± 0.23 |
0.00 ± 0.00 / 0.08 ± 0.02 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |