ltg/norbert3-large |
354 |
50 |
508 |
True |
5,048 ± 824 / 1,354 ± 429 |
1.15 |
93.12 ± 0.83 / 90.13 ± 1.02 |
89.39 ± 0.52 / 86.03 ± 0.65 |
64.62 ± 1.36 / 75.40 ± 0.97 |
77.97 ± 3.04 / 88.19 ± 1.89 |
76.30 ± 1.56 / 87.68 ± 0.86 |
66.03 ± 1.19 / 79.64 ± 1.09 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
NbAiLab/nb-bert-large |
355 |
50 |
512 |
True |
6,343 ± 1,236 / 1,444 ± 456 |
1.22 |
91.32 ± 0.90 / 87.09 ± 1.01 |
87.29 ± 0.74 / 83.06 ± 1.22 |
63.40 ± 1.38 / 74.60 ± 1.12 |
78.43 ± 1.47 / 88.75 ± 0.86 |
79.59 ± 1.72 / 89.56 ± 0.88 |
59.20 ± 1.13 / 73.80 ± 1.05 |
0.0.0 |
0.0.0 |
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 |
1.34 |
92.36 ± 0.55 / 89.79 ± 0.73 |
88.49 ± 0.97 / 85.45 ± 1.21 |
59.73 ± 2.46 / 70.77 ± 3.26 |
74.40 ± 2.03 / 86.34 ± 1.28 |
68.85 ± 3.21 / 83.17 ± 2.09 |
57.67 ± 1.86 / 72.51 ± 1.52 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
AI-Sweden-Models/roberta-large-1350k |
355 |
50 |
512 |
True |
5,744 ± 969 / 1,539 ± 492 |
1.35 |
92.49 ± 0.81 / 92.58 ± 0.61 |
87.22 ± 1.19 / 88.71 ± 1.02 |
58.77 ± 3.69 / 69.56 ± 4.55 |
76.30 ± 2.09 / 87.19 ± 1.40 |
64.11 ± 5.18 / 80.68 ± 3.72 |
60.69 ± 1.15 / 75.73 ± 1.06 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
AI-Sweden-Models/roberta-large-1160k |
355 |
50 |
512 |
True |
14,014 ± 2,384 / 3,625 ± 1,146 |
1.38 |
92.01 ± 0.98 / 92.36 ± 0.70 |
87.17 ± 1.24 / 88.75 ± 0.89 |
60.11 ± 2.96 / 70.55 ± 3.99 |
72.85 ± 5.60 / 85.73 ± 3.14 |
65.56 ± 1.91 / 82.23 ± 0.97 |
60.38 ± 0.95 / 75.42 ± 1.16 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
gpt-4-0613 (few-shot, val) |
unknown |
100 |
8192 |
True |
597 ± 197 / 93 ± 33 |
1.51 |
81.16 ± 2.46 / 63.39 ± 4.07 |
75.75 ± 4.49 / 60.44 ± 5.46 |
72.72 ± 3.20 / 81.35 ± 2.22 |
77.30 ± 2.97 / 88.39 ± 1.60 |
57.18 ± 3.91 / 76.40 ± 2.66 |
47.50 ± 2.86 / 75.24 ± 1.32 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
12.9.0 |
KennethEnevoldsen/dfm-sentence-encoder-large-1 |
355 |
50 |
512 |
True |
6,245 ± 1,260 / 1,416 ± 453 |
1.53 |
86.39 ± 1.06 / 85.20 ± 0.97 |
83.22 ± 1.44 / 82.50 ± 1.19 |
59.61 ± 1.28 / 71.40 ± 1.68 |
67.88 ± 7.37 / 82.75 ± 4.57 |
62.44 ± 4.39 / 80.43 ± 2.39 |
55.69 ± 1.60 / 70.77 ± 1.64 |
0.0.0 |
0.0.0 |
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 |
1.54 |
86.78 ± 0.95 / 85.37 ± 0.78 |
83.28 ± 1.29 / 82.22 ± 1.30 |
58.73 ± 2.31 / 70.10 ± 2.66 |
70.73 ± 3.19 / 84.71 ± 1.82 |
59.58 ± 7.22 / 78.86 ± 3.51 |
56.04 ± 1.56 / 71.02 ± 1.42 |
0.0.0 |
0.0.0 |
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 |
1.54 |
88.66 ± 1.23 / 84.60 ± 1.44 |
84.59 ± 1.98 / 80.07 ± 2.11 |
55.59 ± 10.43 / 67.82 ± 9.45 |
71.43 ± 1.67 / 84.61 ± 1.15 |
53.30 ± 13.11 / 74.52 ± 7.96 |
57.38 ± 1.41 / 72.48 ± 1.49 |
0.0.0 |
0.0.0 |
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 |
1.56 |
92.09 ± 0.51 / 89.67 ± 0.54 |
86.85 ± 1.94 / 83.35 ± 2.01 |
59.84 ± 1.40 / 72.11 ± 1.25 |
73.33 ± 2.17 / 85.89 ± 1.29 |
71.06 ± 1.62 / 84.78 ± 1.05 |
43.67 ± 1.71 / 57.42 ± 1.56 |
0.0.0 |
0.0.0 |
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 |
1.56 |
88.70 ± 2.05 / 84.95 ± 2.83 |
86.11 ± 1.67 / 82.16 ± 1.96 |
54.19 ± 3.15 / 65.18 ± 4.55 |
69.83 ± 2.01 / 84.72 ± 1.10 |
54.84 ± 12.59 / 75.13 ± 9.44 |
58.18 ± 1.84 / 71.29 ± 1.51 |
0.0.0 |
0.0.0 |
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 |
1.58 |
75.31 ± 3.84 / 64.90 ± 4.05 |
75.94 ± 4.62 / 62.81 ± 5.25 |
66.74 ± 4.50 / 74.89 ± 3.69 |
59.82 ± 3.52 / 79.17 ± 2.10 |
47.56 ± 3.52 / 71.91 ± 1.79 |
60.87 ± 4.82 / 82.30 ± 2.52 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
NbAiLab/nb-roberta-base-scandi |
278 |
250 |
512 |
True |
15,079 ± 2,948 / 3,359 ± 1,091 |
1.59 |
92.24 ± 0.44 / 89.66 ± 0.60 |
87.58 ± 0.68 / 84.23 ± 0.85 |
59.98 ± 1.33 / 71.70 ± 1.69 |
70.18 ± 1.41 / 83.83 ± 0.91 |
70.81 ± 1.50 / 84.45 ± 0.95 |
44.27 ± 1.46 / 58.30 ± 1.82 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
gpt-4-1106-preview (few-shot, val) |
unknown |
100 |
128000 |
True |
576 ± 221 / 81 ± 28 |
1.66 |
77.48 ± 2.32 / 55.87 ± 2.83 |
78.70 ± 2.78 / 57.58 ± 4.23 |
62.55 ± 2.82 / 72.41 ± 2.42 |
74.45 ± 4.27 / 86.22 ± 2.49 |
56.31 ± 5.81 / 74.04 ± 4.03 |
44.67 ± 3.23 / 73.39 ± 1.83 |
12.10.0 |
12.10.0 |
12.10.2 |
12.10.2 |
12.10.2 |
12.10.0 |
microsoft/mdeberta-v3-base |
279 |
251 |
512 |
True |
20,637 ± 3,925 / 4,497 ± 1,502 |
1.66 |
91.90 ± 0.54 / 89.55 ± 0.57 |
86.81 ± 1.35 / 83.46 ± 1.68 |
53.69 ± 4.28 / 63.69 ± 6.95 |
70.55 ± 1.64 / 84.79 ± 0.86 |
61.21 ± 1.20 / 79.87 ± 0.76 |
48.82 ± 1.20 / 63.72 ± 1.06 |
0.0.0 |
0.0.0 |
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 |
1.68 |
91.17 ± 0.52 / 91.04 ± 0.58 |
87.30 ± 1.07 / 88.83 ± 0.84 |
59.10 ± 1.47 / 70.50 ± 2.06 |
74.32 ± 1.76 / 86.47 ± 1.18 |
72.94 ± 1.63 / 86.07 ± 0.99 |
34.06 ± 2.05 / 45.46 ± 2.65 |
0.0.0 |
0.0.0 |
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 |
1.68 |
88.99 ± 0.96 / 86.13 ± 1.08 |
82.99 ± 1.53 / 78.66 ± 1.85 |
57.37 ± 1.31 / 70.45 ± 1.13 |
69.92 ± 2.01 / 83.51 ± 1.33 |
70.05 ± 1.76 / 84.13 ± 1.17 |
41.98 ± 3.70 / 55.88 ± 3.70 |
0.0.0 |
0.0.0 |
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 |
93.01 ± 0.68 / 89.36 ± 0.86 |
88.43 ± 0.78 / 84.38 ± 0.81 |
60.84 ± 1.48 / 72.16 ± 1.38 |
73.89 ± 1.31 / 86.19 ± 0.93 |
72.10 ± 2.07 / 85.37 ± 1.33 |
33.01 ± 3.06 / 45.28 ± 3.64 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
gpt-4o-2024-05-13 (few-shot, val) |
unknown |
200 |
128000 |
True |
916 ± 329 / 114 ± 38 |
1.70 |
79.07 ± 3.01 / 64.17 ± 3.51 |
81.56 ± 2.45 / 64.06 ± 4.11 |
66.66 ± 1.91 / 77.70 ± 1.29 |
64.53 ± 6.09 / 79.17 ± 4.89 |
54.70 ± 4.36 / 74.94 ± 3.26 |
43.51 ± 3.40 / 74.52 ± 1.79 |
12.10.0 |
12.10.0 |
12.10.2 |
12.10.2 |
12.10.2 |
12.10.0 |
sentence-transformers/use-cmlm-multilingual |
471 |
501 |
512 |
True |
30,231 ± 8,171 / 4,863 ± 1,598 |
1.70 |
90.08 ± 0.76 / 87.12 ± 1.08 |
86.04 ± 0.78 / 81.89 ± 0.98 |
56.35 ± 1.25 / 69.31 ± 1.02 |
59.38 ± 2.52 / 78.02 ± 1.71 |
46.54 ± 3.21 / 71.78 ± 2.00 |
55.05 ± 1.24 / 70.46 ± 1.22 |
0.0.0 |
0.0.0 |
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 |
1.72 |
89.86 ± 0.93 / 90.64 ± 0.80 |
84.32 ± 1.08 / 86.52 ± 0.94 |
61.52 ± 1.87 / 72.72 ± 1.95 |
62.34 ± 2.48 / 79.94 ± 1.46 |
34.88 ± 11.23 / 66.51 ± 5.72 |
53.01 ± 1.05 / 70.46 ± 0.86 |
0.0.0 |
0.0.0 |
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 |
1.73 |
91.66 ± 1.24 / 89.34 ± 1.62 |
86.19 ± 0.97 / 82.86 ± 1.29 |
50.25 ± 15.36 / 63.55 ± 13.05 |
55.51 ± 18.28 / 74.00 ± 13.38 |
43.89 ± 14.81 / 68.88 ± 10.32 |
57.57 ± 2.43 / 72.69 ± 2.22 |
0.0.0 |
0.0.0 |
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 |
1.73 |
91.09 ± 0.65 / 88.45 ± 0.70 |
85.72 ± 1.92 / 81.88 ± 2.16 |
50.90 ± 3.01 / 60.96 ± 5.41 |
69.34 ± 3.13 / 83.11 ± 2.17 |
66.24 ± 2.41 / 82.36 ± 1.49 |
48.45 ± 0.63 / 62.96 ± 0.80 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ltg/norbert3-small |
41 |
50 |
508 |
True |
13,515 ± 2,514 / 3,042 ± 1,004 |
1.75 |
90.02 ± 0.72 / 86.99 ± 0.87 |
86.52 ± 1.17 / 83.03 ± 1.53 |
51.36 ± 3.24 / 61.35 ± 5.46 |
67.29 ± 2.13 / 82.23 ± 1.36 |
56.67 ± 2.29 / 76.74 ± 1.73 |
48.63 ± 1.31 / 63.28 ± 1.09 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
pere/roberta-base-exp-32 |
278 |
250 |
512 |
True |
15,081 ± 2,950 / 3,365 ± 1,092 |
1.75 |
91.66 ± 0.74 / 89.26 ± 0.97 |
87.74 ± 0.77 / 84.51 ± 1.03 |
57.43 ± 1.55 / 70.43 ± 1.41 |
63.31 ± 11.58 / 80.18 ± 5.59 |
62.79 ± 11.35 / 79.65 ± 6.48 |
41.05 ± 2.59 / 54.44 ± 3.33 |
0.0.0 |
0.0.0 |
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 |
1.76 |
90.96 ± 0.66 / 90.87 ± 0.65 |
87.34 ± 1.74 / 88.75 ± 1.38 |
60.57 ± 1.22 / 72.70 ± 0.75 |
72.11 ± 1.85 / 85.08 ± 1.24 |
70.20 ± 2.24 / 84.26 ± 1.48 |
29.94 ± 3.33 / 40.55 ± 4.21 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
vesteinn/FoBERT |
124 |
50 |
512 |
True |
15,623 ± 2,828 / 3,737 ± 1,191 |
1.76 |
90.65 ± 0.66 / 88.03 ± 0.77 |
84.88 ± 1.55 / 81.01 ± 1.95 |
52.44 ± 2.90 / 62.48 ± 4.62 |
68.77 ± 2.01 / 83.10 ± 1.42 |
65.40 ± 2.43 / 81.72 ± 1.68 |
43.13 ± 2.05 / 56.76 ± 2.21 |
0.0.0 |
0.0.0 |
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 |
1.77 |
91.16 ± 0.71 / 88.71 ± 0.94 |
84.75 ± 1.23 / 80.56 ± 1.59 |
55.25 ± 2.36 / 66.95 ± 2.79 |
68.03 ± 2.37 / 82.12 ± 1.69 |
66.90 ± 2.07 / 82.33 ± 1.34 |
41.65 ± 1.17 / 55.71 ± 1.73 |
0.0.0 |
0.0.0 |
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 |
1.84 |
67.35 ± 2.33 / 56.75 ± 3.04 |
66.61 ± 1.81 / 57.24 ± 4.35 |
67.14 ± 1.22 / 78.63 ± 0.96 |
64.66 ± 1.38 / 81.94 ± 0.79 |
52.49 ± 2.01 / 75.95 ± 1.15 |
44.85 ± 2.17 / 73.41 ± 1.61 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
setu4993/LaBSE |
471 |
501 |
512 |
True |
25,418 ± 6,435 / 4,536 ± 1,452 |
1.86 |
90.58 ± 0.91 / 87.84 ± 1.00 |
85.21 ± 1.05 / 81.57 ± 1.30 |
54.26 ± 1.75 / 67.25 ± 1.47 |
59.44 ± 1.47 / 78.80 ± 1.00 |
49.30 ± 1.39 / 74.02 ± 1.04 |
46.42 ± 1.44 / 61.82 ± 1.47 |
0.0.0 |
0.0.0 |
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 |
1.88 |
89.07 ± 1.19 / 85.81 ± 1.57 |
83.27 ± 1.68 / 78.80 ± 2.22 |
53.23 ± 1.67 / 65.23 ± 2.65 |
70.06 ± 2.33 / 83.61 ± 1.61 |
66.81 ± 1.83 / 82.19 ± 1.20 |
34.17 ± 2.16 / 47.61 ± 2.55 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
abhishek/autotrain-llama3-oh-sft-v0-2 (few-shot) |
70554 |
128 |
8192 |
False |
2,668 ± 802 / 411 ± 135 |
2.01 |
80.97 ± 1.73 / 74.56 ± 3.82 |
79.69 ± 0.64 / 75.12 ± 2.70 |
63.91 ± 1.74 / 75.51 ± 1.63 |
39.82 ± 3.91 / 60.91 ± 4.26 |
26.86 ± 2.91 / 53.05 ± 3.88 |
47.06 ± 3.13 / 75.80 ± 2.01 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
gpt-3.5-turbo-0613 (few-shot, val) |
unknown |
100 |
4095 |
True |
921 ± 293 / 113 ± 37 |
2.02 |
77.70 ± 2.64 / 68.71 ± 2.97 |
73.92 ± 2.53 / 67.96 ± 2.67 |
58.88 ± 3.23 / 71.00 ± 2.87 |
54.29 ± 4.27 / 73.02 ± 3.26 |
32.82 ± 3.43 / 56.05 ± 4.14 |
45.35 ± 2.97 / 73.47 ± 1.69 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
12.9.0 |
intfloat/multilingual-e5-large-instruct |
560 |
250 |
514 |
True |
5,947 ± 1,301 / 1,129 ± 374 |
2.04 |
89.27 ± 1.00 / 90.42 ± 0.65 |
83.78 ± 1.53 / 86.17 ± 1.36 |
63.35 ± 0.63 / 74.20 ± 0.91 |
55.71 ± 11.72 / 77.00 ± 5.84 |
12.32 ± 12.70 / 53.74 ± 7.38 |
38.74 ± 7.61 / 58.52 ± 7.90 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
pere/roberta-base-exp-32B |
278 |
250 |
512 |
True |
15,103 ± 2,982 / 3,357 ± 1,081 |
2.05 |
90.60 ± 1.16 / 87.83 ± 1.34 |
86.76 ± 0.82 / 83.48 ± 0.98 |
52.19 ± 2.87 / 65.60 ± 2.58 |
54.98 ± 14.19 / 75.67 ± 6.70 |
58.33 ± 10.94 / 77.88 ± 5.29 |
29.17 ± 1.36 / 41.75 ± 1.59 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
google/gemma-2-27b (few-shot) |
27227 |
256 |
8193 |
True |
1,531 ± 264 / 489 ± 149 |
2.07 |
42.58 ± 1.77 / 43.06 ± 1.89 |
40.43 ± 0.91 / 40.42 ± 1.46 |
64.15 ± 2.03 / 76.14 ± 1.68 |
51.59 ± 5.86 / 72.57 ± 4.90 |
42.41 ± 3.62 / 68.76 ± 3.06 |
58.55 ± 6.45 / 80.21 ± 4.49 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
google/gemma-2-9b-it (few-shot) |
9242 |
256 |
8193 |
True |
2,062 ± 397 / 589 ± 178 |
2.08 |
61.82 ± 2.72 / 44.91 ± 3.62 |
60.41 ± 2.62 / 46.29 ± 3.79 |
61.06 ± 1.21 / 73.45 ± 0.94 |
62.46 ± 1.49 / 81.11 ± 0.72 |
52.99 ± 1.89 / 76.14 ± 1.20 |
39.10 ± 1.50 / 70.14 ± 1.53 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) |
70554 |
128 |
8192 |
True |
1,673 ± 583 / 275 ± 85 |
2.10 |
80.50 ± 2.85 / 76.71 ± 2.48 |
76.47 ± 3.13 / 73.94 ± 2.95 |
59.29 ± 5.92 / 69.99 ± 4.80 |
47.28 ± 3.57 / 69.23 ± 3.04 |
32.76 ± 3.80 / 60.66 ± 3.10 |
39.71 ± 2.59 / 71.60 ± 1.57 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
mistralai/Mistral-Nemo-Instruct-2407 (few-shot) |
12248 |
131 |
1024001 |
True |
7,095 ± 2,193 / 1,063 ± 344 |
2.11 |
70.14 ± 1.60 / 51.03 ± 3.02 |
68.74 ± 1.21 / 51.48 ± 2.96 |
60.64 ± 2.52 / 73.91 ± 1.86 |
35.59 ± 2.29 / 61.96 ± 3.72 |
29.22 ± 2.86 / 60.98 ± 4.02 |
49.87 ± 4.84 / 76.01 ± 3.10 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
gpt-3.5-turbo-0613 (few-shot) |
unknown |
100 |
4096 |
True |
837 ± 294 / 126 ± 43 |
2.13 |
74.92 ± 1.24 / 64.00 ± 2.37 |
75.34 ± 1.15 / 68.02 ± 1.41 |
57.64 ± 1.33 / 71.34 ± 1.15 |
49.93 ± 1.78 / 69.26 ± 1.76 |
34.22 ± 2.98 / 57.61 ± 3.23 |
44.39 ± 1.06 / 71.71 ± 0.83 |
0.0.0 |
0.0.0 |
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 |
2.18 |
54.08 ± 2.08 / 34.62 ± 1.80 |
54.33 ± 3.02 / 37.70 ± 2.97 |
62.54 ± 1.17 / 75.53 ± 0.73 |
50.88 ± 2.84 / 74.69 ± 1.56 |
41.01 ± 1.91 / 69.35 ± 1.67 |
46.25 ± 3.89 / 72.99 ± 3.16 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
AI-Sweden-Models/bert-large-nordic-pile-1M-steps |
369 |
64 |
512 |
True |
6,571 ± 1,331 / 1,493 ± 479 |
2.26 |
87.50 ± 0.53 / 87.45 ± 0.54 |
80.57 ± 1.41 / 82.71 ± 1.13 |
47.11 ± 2.05 / 60.70 ± 3.19 |
52.62 ± 3.99 / 75.01 ± 2.43 |
25.06 ± 6.94 / 60.75 ± 4.12 |
38.40 ± 2.57 / 50.51 ± 3.52 |
0.0.0 |
0.0.0 |
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 |
2.26 |
86.82 ± 0.53 / 84.15 ± 0.59 |
79.91 ± 1.17 / 76.65 ± 1.46 |
47.84 ± 2.44 / 60.67 ± 3.47 |
51.99 ± 11.45 / 72.87 ± 8.55 |
30.57 ± 8.63 / 62.90 ± 7.32 |
36.75 ± 2.18 / 50.77 ± 2.11 |
0.0.0 |
0.0.0 |
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 |
2.27 |
62.46 ± 4.62 / 60.77 ± 4.36 |
64.68 ± 3.04 / 61.69 ± 2.31 |
59.68 ± 3.30 / 70.62 ± 3.08 |
27.34 ± 12.20 / 50.42 ± 9.24 |
3.95 ± 4.66 / 36.08 ± 3.27 |
57.44 ± 4.59 / 78.69 ± 3.09 |
12.7.0 |
12.7.0 |
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 |
2.28 |
66.75 ± 2.07 / 58.61 ± 3.33 |
66.81 ± 2.57 / 57.71 ± 3.04 |
60.58 ± 4.96 / 70.33 ± 4.12 |
47.53 ± 4.07 / 72.24 ± 2.31 |
17.14 ± 4.72 / 51.14 ± 4.36 |
41.92 ± 3.36 / 72.51 ± 1.91 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
intfloat/multilingual-e5-base |
278 |
250 |
512 |
True |
14,965 ± 2,890 / 3,322 ± 1,074 |
2.29 |
88.26 ± 1.11 / 89.24 ± 0.95 |
81.37 ± 1.67 / 83.89 ± 1.34 |
54.61 ± 1.51 / 67.19 ± 1.65 |
50.35 ± 1.78 / 73.06 ± 1.46 |
22.15 ± 9.02 / 58.20 ± 5.38 |
31.77 ± 1.55 / 45.47 ± 2.02 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
12.6.1 |
microsoft/xlm-align-base |
278 |
250 |
512 |
True |
14,744 ± 2,870 / 3,265 ± 1,053 |
2.31 |
90.07 ± 1.08 / 87.56 ± 1.39 |
85.65 ± 0.96 / 82.40 ± 1.16 |
54.46 ± 1.16 / 68.25 ± 0.76 |
12.16 ± 5.91 / 50.55 ± 4.73 |
8.99 ± 2.25 / 48.57 ± 3.67 |
49.24 ± 1.30 / 64.35 ± 1.24 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
timpal0l/sol (few-shot) |
10732 |
32 |
4096 |
False |
3,701 ± 876 / 771 ± 247 |
2.31 |
65.14 ± 1.62 / 52.85 ± 3.03 |
65.88 ± 1.53 / 52.89 ± 2.29 |
57.06 ± 1.54 / 71.09 ± 1.17 |
26.41 ± 3.80 / 51.92 ± 5.30 |
19.58 ± 1.29 / 53.93 ± 2.90 |
51.60 ± 1.97 / 77.87 ± 1.44 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
meta-llama/Llama-3.1-8B (few-shot) |
8030 |
128 |
131073 |
True |
2,439 ± 459 / 703 ± 219 |
2.34 |
64.62 ± 1.26 / 53.50 ± 3.27 |
65.10 ± 1.86 / 56.43 ± 2.58 |
52.87 ± 1.18 / 68.71 ± 1.01 |
28.34 ± 3.26 / 58.57 ± 4.45 |
22.40 ± 3.12 / 53.51 ± 5.42 |
53.20 ± 3.15 / 75.98 ± 2.62 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
13.0.0 |
google-bert/bert-base-multilingual-uncased |
167 |
106 |
512 |
True |
13,993 ± 3,217 / 2,752 ± 893 |
2.36 |
82.90 ± 1.44 / 79.06 ± 1.52 |
77.33 ± 2.00 / 72.83 ± 1.96 |
37.28 ± 2.13 / 48.69 ± 3.26 |
49.41 ± 1.57 / 73.96 ± 0.87 |
43.58 ± 2.23 / 71.20 ± 1.61 |
40.35 ± 2.26 / 54.01 ± 2.42 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
Geotrend/bert-base-25lang-cased |
151 |
85 |
512 |
True |
13,908 ± 3,201 / 2,700 ± 872 |
2.39 |
87.99 ± 1.24 / 84.84 ± 1.42 |
83.10 ± 1.12 / 79.18 ± 1.45 |
36.21 ± 1.82 / 49.48 ± 2.69 |
46.43 ± 1.81 / 71.65 ± 1.39 |
39.82 ± 2.81 / 68.68 ± 1.81 |
40.01 ± 1.58 / 53.12 ± 1.81 |
0.0.0 |
0.0.0 |
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 |
2.39 |
87.70 ± 0.66 / 85.32 ± 0.94 |
81.41 ± 1.46 / 77.41 ± 1.57 |
48.34 ± 2.10 / 60.68 ± 3.61 |
55.30 ± 2.89 / 75.77 ± 1.87 |
37.46 ± 2.69 / 67.68 ± 1.66 |
24.49 ± 6.03 / 35.93 ± 8.56 |
0.0.0 |
0.0.0 |
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 |
2.39 |
88.72 ± 0.76 / 85.49 ± 0.92 |
83.08 ± 1.22 / 79.36 ± 1.38 |
35.87 ± 1.85 / 48.94 ± 3.37 |
44.22 ± 3.29 / 70.31 ± 2.86 |
39.55 ± 7.01 / 68.65 ± 3.36 |
40.55 ± 2.19 / 53.62 ± 2.68 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
jonfd/electra-small-nordic |
22 |
96 |
128 |
True |
5,989 ± 120 / 3,809 ± 1,230 |
2.40 |
84.95 ± 0.58 / 81.68 ± 0.65 |
79.57 ± 1.49 / 74.62 ± 1.92 |
40.15 ± 1.15 / 46.26 ± 0.47 |
72.87 ± 1.11 / 85.86 ± 0.63 |
63.77 ± 1.27 / 81.62 ± 0.65 |
14.16 ± 4.55 / 19.70 ± 6.40 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
abhishek/autotrain-llama3-orpo-v2 (few-shot) |
8030 |
128 |
8192 |
False |
8,532 ± 2,749 / 1,177 ± 399 |
2.41 |
74.62 ± 1.74 / 66.51 ± 2.71 |
74.22 ± 1.16 / 67.02 ± 2.57 |
51.30 ± 3.11 / 66.17 ± 3.21 |
26.03 ± 2.08 / 61.04 ± 2.00 |
19.90 ± 1.99 / 58.22 ± 1.98 |
45.31 ± 3.83 / 71.62 ± 3.39 |
12.8.0 |
12.8.0 |
12.8.0 |
12.8.0 |
12.8.0 |
12.8.0 |
four-two-labs/orpo-llama-3-swe (few-shot) |
8030 |
128 |
8192 |
False |
4,974 ± 1,208 / 1,032 ± 342 |
2.42 |
61.63 ± 1.64 / 48.09 ± 2.89 |
61.30 ± 1.94 / 50.08 ± 2.60 |
48.85 ± 2.22 / 64.93 ± 2.00 |
24.15 ± 6.12 / 56.29 ± 6.81 |
21.33 ± 3.03 / 58.05 ± 2.59 |
53.66 ± 4.34 / 75.19 ± 3.59 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
mistralai/Ministral-8B-Instruct-2410 (few-shot) |
8020 |
131 |
32768 |
True |
5,821 ± 1,090 / 1,561 ± 506 |
2.42 |
69.85 ± 2.00 / 59.43 ± 3.23 |
68.83 ± 1.07 / 59.51 ± 2.63 |
54.49 ± 2.44 / 69.23 ± 2.00 |
28.55 ± 2.65 / 61.53 ± 3.21 |
17.47 ± 3.61 / 52.60 ± 5.26 |
43.55 ± 3.42 / 71.05 ± 3.22 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
Geotrend/bert-base-en-no-cased |
111 |
33 |
512 |
True |
14,081 ± 3,231 / 2,748 ± 891 |
2.44 |
89.07 ± 1.08 / 85.89 ± 1.04 |
82.69 ± 0.90 / 79.22 ± 0.93 |
34.97 ± 1.74 / 48.21 ± 2.02 |
39.58 ± 5.70 / 67.91 ± 3.00 |
31.27 ± 9.57 / 62.81 ± 7.17 |
41.89 ± 1.64 / 55.17 ± 2.07 |
0.0.0 |
0.0.0 |
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 |
2.44 |
66.22 ± 2.15 / 48.98 ± 4.65 |
64.14 ± 1.26 / 49.59 ± 4.31 |
55.48 ± 1.77 / 69.68 ± 1.45 |
26.13 ± 1.28 / 56.08 ± 2.05 |
17.32 ± 0.77 / 54.57 ± 1.49 |
49.75 ± 1.22 / 77.08 ± 0.60 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) |
7242 |
32 |
32768 |
False |
2,903 ± 407 / 1,157 ± 350 |
2.44 |
63.33 ± 2.69 / 53.24 ± 3.41 |
68.84 ± 1.87 / 53.85 ± 3.78 |
58.28 ± 3.11 / 69.79 ± 2.39 |
18.65 ± 3.84 / 45.34 ± 2.61 |
10.72 ± 5.52 / 43.91 ± 3.48 |
44.39 ± 3.95 / 70.76 ± 3.10 |
9.3.1 |
9.3.1 |
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 |
2.44 |
63.33 ± 2.69 / 53.24 ± 3.41 |
68.84 ± 1.87 / 53.85 ± 3.78 |
58.28 ± 3.11 / 69.79 ± 2.39 |
18.65 ± 3.84 / 45.34 ± 2.61 |
10.72 ± 5.52 / 43.91 ± 3.48 |
44.39 ± 3.95 / 70.76 ± 3.10 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
upstage/SOLAR-10.7B-v1.0 (few-shot) |
10732 |
32 |
4096 |
True |
3,780 ± 906 / 799 ± 261 |
2.44 |
68.11 ± 1.83 / 57.57 ± 3.10 |
68.19 ± 1.01 / 56.90 ± 2.54 |
55.33 ± 1.95 / 69.71 ± 1.56 |
10.15 ± 3.24 / 36.27 ± 1.44 |
7.51 ± 2.97 / 35.89 ± 1.30 |
55.33 ± 3.29 / 80.42 ± 1.68 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
Geotrend/bert-base-en-fr-de-no-da-cased |
118 |
42 |
512 |
True |
13,973 ± 3,205 / 2,725 ± 884 |
2.46 |
88.05 ± 0.85 / 84.88 ± 1.05 |
83.08 ± 1.50 / 79.06 ± 1.70 |
35.34 ± 1.88 / 48.31 ± 2.28 |
31.45 ± 12.12 / 63.68 ± 6.21 |
36.12 ± 8.59 / 66.98 ± 4.91 |
41.59 ± 2.45 / 54.67 ± 2.65 |
0.0.0 |
0.0.0 |
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 |
2.46 |
74.47 ± 1.47 / 65.57 ± 2.39 |
72.93 ± 1.00 / 65.44 ± 2.55 |
50.62 ± 3.52 / 65.69 ± 3.50 |
27.77 ± 1.63 / 61.75 ± 1.77 |
20.35 ± 1.92 / 57.74 ± 2.28 |
42.90 ± 3.57 / 69.90 ± 3.17 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
meta-llama/Meta-Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,687 ± 1,121 / 967 ± 313 |
2.46 |
61.48 ± 1.83 / 47.65 ± 2.94 |
61.58 ± 2.21 / 50.10 ± 2.68 |
49.87 ± 1.88 / 66.15 ± 1.44 |
21.20 ± 6.57 / 52.29 ± 7.43 |
19.65 ± 4.32 / 56.66 ± 4.40 |
53.35 ± 4.33 / 74.98 ± 3.70 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
ZurichNLP/unsup-simcse-xlm-roberta-base |
278 |
250 |
512 |
True |
34,520 ± 7,443 / 6,730 ± 2,224 |
2.48 |
86.56 ± 1.18 / 87.30 ± 0.95 |
80.57 ± 1.55 / 83.03 ± 1.19 |
49.62 ± 2.72 / 62.56 ± 3.88 |
38.45 ± 15.28 / 67.14 ± 7.71 |
11.38 ± 7.59 / 51.68 ± 4.73 |
31.50 ± 2.41 / 47.61 ± 2.55 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
meta-llama/Llama-3.1-8B-Instruct (few-shot) |
8030 |
128 |
131073 |
True |
2,411 ± 465 / 686 ± 215 |
2.51 |
74.77 ± 0.84 / 71.87 ± 0.97 |
72.80 ± 1.57 / 69.98 ± 1.84 |
57.30 ± 0.98 / 71.58 ± 0.90 |
5.23 ± 1.83 / 34.90 ± 0.81 |
11.51 ± 3.24 / 45.73 ± 5.97 |
43.93 ± 3.73 / 70.96 ± 3.00 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
Geotrend/bert-base-en-da-cased |
111 |
33 |
512 |
True |
14,062 ± 3,216 / 2,733 ± 885 |
2.52 |
88.55 ± 0.85 / 85.29 ± 1.04 |
83.09 ± 1.06 / 79.27 ± 1.21 |
35.16 ± 1.75 / 48.41 ± 2.71 |
31.82 ± 8.92 / 62.98 ± 6.52 |
32.94 ± 5.88 / 64.36 ± 4.59 |
39.46 ± 1.70 / 52.33 ± 1.94 |
0.0.0 |
0.0.0 |
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 |
2.52 |
66.94 ± 2.67 / 60.25 ± 3.14 |
67.69 ± 1.87 / 61.57 ± 2.05 |
48.40 ± 3.28 / 61.42 ± 3.56 |
24.26 ± 2.68 / 57.31 ± 2.64 |
18.43 ± 1.34 / 52.28 ± 2.63 |
46.80 ± 2.74 / 74.57 ± 2.20 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
bineric/NorskGPT-Mistral-7b (few-shot) |
7242 |
32 |
32768 |
False |
2,443 ± 451 / 761 ± 237 |
2.53 |
63.28 ± 1.99 / 47.72 ± 3.74 |
61.25 ± 1.05 / 45.04 ± 2.92 |
56.90 ± 1.49 / 70.81 ± 1.30 |
13.86 ± 1.95 / 44.84 ± 2.31 |
10.17 ± 1.89 / 46.48 ± 2.46 |
49.03 ± 4.22 / 74.38 ± 3.92 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
skole-gpt-mixtral (few-shot) |
unknown |
32 |
32768 |
False |
3,583 ± 977 / 686 ± 231 |
2.53 |
62.52 ± 2.14 / 49.42 ± 3.83 |
61.55 ± 1.68 / 47.53 ± 3.65 |
52.09 ± 3.90 / 65.72 ± 4.14 |
21.99 ± 2.17 / 58.21 ± 2.38 |
16.84 ± 2.07 / 51.76 ± 4.30 |
47.30 ± 4.17 / 72.60 ± 3.24 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
microsoft/infoxlm-base |
278 |
250 |
512 |
True |
34,735 ± 7,558 / 6,846 ± 2,312 |
2.54 |
90.14 ± 0.97 / 87.71 ± 1.24 |
84.12 ± 1.85 / 80.21 ± 2.19 |
44.42 ± 13.10 / 57.73 ± 11.86 |
11.20 ± 2.99 / 48.77 ± 5.01 |
7.12 ± 2.39 / 49.23 ± 4.14 |
47.69 ± 1.95 / 62.39 ± 1.74 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
RJuro/munin-neuralbeagle-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,493 ± 466 / 773 ± 243 |
2.56 |
61.18 ± 2.76 / 56.36 ± 3.30 |
65.16 ± 3.97 / 55.74 ± 4.71 |
55.61 ± 4.02 / 68.27 ± 3.49 |
20.84 ± 5.41 / 49.36 ± 4.98 |
9.12 ± 3.51 / 43.06 ± 3.74 |
42.92 ± 3.08 / 69.13 ± 2.85 |
9.3.2 |
9.3.2 |
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 |
2.56 |
75.05 ± 1.56 / 57.52 ± 4.29 |
74.08 ± 1.43 / 62.50 ± 4.89 |
37.79 ± 4.47 / 55.88 ± 3.23 |
31.59 ± 11.25 / 54.68 ± 10.28 |
39.25 ± 7.82 / 62.90 ± 7.12 |
39.43 ± 2.31 / 72.15 ± 1.71 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
timpal0l/BeagleCatMunin2 (few-shot, val) |
7242 |
32 |
32768 |
False |
2,477 ± 459 / 767 ± 241 |
2.56 |
61.17 ± 3.56 / 54.24 ± 3.45 |
65.44 ± 2.83 / 54.34 ± 3.95 |
58.69 ± 3.28 / 70.83 ± 2.49 |
15.03 ± 2.70 / 40.22 ± 1.66 |
5.95 ± 4.55 / 39.18 ± 2.91 |
42.42 ± 2.92 / 69.53 ± 3.17 |
9.3.1 |
9.3.1 |
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 |
2.57 |
87.52 ± 0.63 / 83.86 ± 0.68 |
82.66 ± 1.64 / 78.65 ± 2.01 |
32.73 ± 1.37 / 46.52 ± 1.86 |
36.41 ± 8.89 / 65.20 ± 6.41 |
30.37 ± 5.50 / 62.12 ± 5.66 |
37.71 ± 1.11 / 49.90 ± 1.47 |
0.0.0 |
0.0.0 |
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 |
2.57 |
85.99 ± 0.83 / 83.09 ± 0.94 |
79.47 ± 1.14 / 75.61 ± 1.34 |
39.53 ± 0.99 / 50.90 ± 2.17 |
27.39 ± 2.48 / 61.03 ± 2.27 |
23.56 ± 2.23 / 60.05 ± 1.05 |
39.01 ± 1.18 / 51.83 ± 1.58 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
microsoft/infoxlm-large |
560 |
250 |
512 |
True |
6,696 ± 1,260 / 1,630 ± 515 |
2.57 |
91.90 ± 0.62 / 89.48 ± 0.83 |
86.59 ± 1.49 / 82.92 ± 1.66 |
30.56 ± 13.68 / 45.96 ± 11.45 |
9.79 ± 5.13 / 46.75 ± 6.05 |
6.36 ± 2.82 / 48.52 ± 4.11 |
60.47 ± 1.01 / 74.70 ± 0.92 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val) |
8030 |
128 |
8192 |
False |
5,018 ± 1,216 / 996 ± 324 |
2.57 |
64.51 ± 3.28 / 51.06 ± 4.78 |
65.66 ± 3.82 / 53.90 ± 4.32 |
52.90 ± 4.31 / 65.38 ± 3.73 |
29.34 ± 4.34 / 59.36 ± 4.64 |
17.42 ± 4.38 / 52.01 ± 3.50 |
38.49 ± 4.41 / 67.16 ± 3.41 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
AI-Nordics/bert-large-swedish-cased |
335 |
31 |
512 |
True |
7,199 ± 1,139 / 2,051 ± 651 |
2.58 |
83.32 ± 0.99 / 80.48 ± 0.89 |
77.97 ± 1.09 / 74.84 ± 1.18 |
38.44 ± 1.67 / 52.60 ± 1.95 |
37.54 ± 1.13 / 64.46 ± 1.44 |
23.10 ± 3.66 / 58.14 ± 3.65 |
39.97 ± 0.84 / 51.67 ± 1.11 |
0.0.0 |
0.0.0 |
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 |
2.64 |
48.24 ± 3.18 / 42.53 ± 3.52 |
61.50 ± 1.54 / 50.90 ± 4.58 |
49.40 ± 3.40 / 60.71 ± 3.33 |
24.12 ± 3.24 / 59.38 ± 2.25 |
13.20 ± 3.16 / 54.42 ± 3.04 |
47.93 ± 3.46 / 69.52 ± 3.06 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
meta-llama/Llama-2-70b-chat-hf (few-shot, val) |
68977 |
32 |
4096 |
True |
1,979 ± 621 / 320 ± 105 |
2.64 |
60.21 ± 1.86 / 47.06 ± 3.08 |
62.99 ± 2.66 / 48.82 ± 5.49 |
55.12 ± 5.10 / 66.55 ± 5.07 |
27.12 ± 4.90 / 54.26 ± 6.80 |
6.82 ± 5.06 / 46.18 ± 4.14 |
38.50 ± 3.93 / 69.99 ± 2.23 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
Mabeck/Heidrun-Mistral-7B-chat (few-shot) |
7242 |
32 |
32768 |
False |
5,822 ± 1,283 / 1,336 ± 430 |
2.66 |
61.41 ± 1.71 / 52.32 ± 2.63 |
59.49 ± 1.26 / 49.45 ± 3.31 |
49.19 ± 1.64 / 63.36 ± 1.52 |
15.17 ± 2.64 / 50.25 ± 4.51 |
10.78 ± 1.99 / 50.08 ± 4.20 |
48.99 ± 2.91 / 73.08 ± 2.26 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
12.5.0 |
mlabonne/NeuralBeagle14-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
2,549 ± 472 / 784 ± 245 |
2.69 |
62.47 ± 2.56 / 57.71 ± 3.02 |
66.69 ± 2.91 / 58.83 ± 3.70 |
54.04 ± 2.91 / 66.46 ± 2.59 |
16.75 ± 4.54 / 49.11 ± 4.45 |
13.00 ± 4.46 / 49.33 ± 2.69 |
34.48 ± 2.13 / 65.43 ± 2.07 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
timpal0l/Llama-3-8B-flashback-v1 (few-shot) |
8030 |
128 |
8192 |
True |
4,807 ± 1,152 / 979 ± 319 |
2.69 |
59.09 ± 1.89 / 52.82 ± 2.60 |
60.02 ± 1.44 / 52.04 ± 2.63 |
47.58 ± 1.91 / 64.35 ± 1.95 |
10.52 ± 4.67 / 46.13 ± 6.95 |
6.67 ± 4.53 / 40.61 ± 5.40 |
49.89 ± 4.89 / 71.90 ± 4.09 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
KennethEnevoldsen/munin_mistral-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,543 ± 466 / 787 ± 247 |
2.70 |
51.82 ± 4.16 / 44.64 ± 4.66 |
62.55 ± 3.84 / 49.66 ± 5.87 |
56.37 ± 4.27 / 69.55 ± 4.52 |
6.04 ± 5.92 / 36.34 ± 3.96 |
-0.02 ± 0.04 / 33.47 ± 0.88 |
48.85 ± 4.11 / 70.75 ± 3.73 |
12.5.2 |
12.5.2 |
12.3.1 |
12.3.2 |
12.3.2 |
12.3.2 |
timpal0l/BeagleCatMunin (few-shot, val) |
7242 |
32 |
32768 |
False |
2,495 ± 458 / 775 ± 244 |
2.70 |
54.04 ± 2.86 / 48.50 ± 2.85 |
62.21 ± 3.31 / 50.38 ± 4.32 |
54.74 ± 3.71 / 67.81 ± 2.80 |
14.51 ± 1.97 / 40.94 ± 1.63 |
5.38 ± 4.69 / 37.62 ± 2.92 |
42.83 ± 3.31 / 69.15 ± 2.50 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
ibm-granite/granite-3.0-8b-base (few-shot) |
8171 |
49 |
4097 |
True |
5,116 ± 943 / 1,436 ± 472 |
2.72 |
49.94 ± 2.13 / 46.49 ± 2.00 |
52.17 ± 1.02 / 46.44 ± 2.72 |
53.27 ± 1.54 / 66.73 ± 1.31 |
17.22 ± 3.50 / 50.42 ± 5.01 |
12.01 ± 2.47 / 47.98 ± 4.37 |
45.04 ± 3.42 / 69.52 ± 2.79 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
KBLab/megatron-bert-large-swedish-cased-110k |
370 |
64 |
512 |
True |
7,075 ± 1,093 / 2,057 ± 661 |
2.73 |
84.03 ± 0.79 / 80.97 ± 0.92 |
77.98 ± 1.36 / 74.25 ± 1.62 |
39.15 ± 3.29 / 53.00 ± 3.85 |
21.39 ± 2.73 / 58.08 ± 1.93 |
17.10 ± 3.43 / 57.00 ± 1.86 |
35.32 ± 1.71 / 47.41 ± 2.25 |
0.0.0 |
0.0.0 |
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 |
2.73 |
64.37 ± 2.17 / 52.81 ± 2.48 |
62.77 ± 0.83 / 51.80 ± 2.77 |
50.60 ± 4.90 / 66.76 ± 3.04 |
18.09 ± 2.04 / 52.56 ± 2.60 |
12.25 ± 2.18 / 50.79 ± 2.42 |
38.34 ± 2.39 / 69.54 ± 1.96 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
ibm-granite/granite-3.0-8b-instruct (few-shot) |
8171 |
49 |
4096 |
True |
5,090 ± 937 / 1,423 ± 466 |
2.74 |
53.79 ± 1.52 / 46.58 ± 1.73 |
56.13 ± 0.91 / 47.13 ± 2.04 |
51.36 ± 2.53 / 66.19 ± 2.08 |
6.83 ± 2.54 / 38.36 ± 3.81 |
8.09 ± 2.03 / 41.05 ± 4.14 |
48.01 ± 2.52 / 73.03 ± 1.99 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
timpal0l/njord-alpha (few-shot) |
7242 |
32 |
32768 |
True |
5,431 ± 1,267 / 1,139 ± 365 |
2.74 |
50.47 ± 2.96 / 43.31 ± 2.54 |
51.97 ± 3.83 / 42.66 ± 5.03 |
48.03 ± 1.71 / 65.89 ± 1.68 |
22.65 ± 3.80 / 51.83 ± 5.03 |
17.10 ± 4.78 / 49.03 ± 6.45 |
44.72 ± 4.47 / 68.08 ± 4.22 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
clips/mfaq |
278 |
250 |
128 |
True |
5,591 ± 187 / 3,349 ± 1,105 |
2.75 |
89.46 ± 1.18 / 86.62 ± 1.53 |
79.71 ± 1.02 / 75.64 ± 1.17 |
52.91 ± 2.29 / 64.64 ± 3.28 |
27.55 ± 12.16 / 53.28 ± 8.27 |
15.20 ± 9.06 / 51.91 ± 4.95 |
12.36 ± 8.54 / 17.38 ± 11.78 |
0.0.0 |
0.0.0 |
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 |
2.75 |
62.43 ± 0.94 / 51.64 ± 2.45 |
60.68 ± 0.74 / 48.91 ± 2.93 |
53.41 ± 1.46 / 69.49 ± 1.05 |
-1.16 ± 1.31 / 33.56 ± 0.43 |
0.30 ± 0.71 / 34.08 ± 0.32 |
49.15 ± 2.79 / 76.77 ± 1.59 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
KB/bert-base-swedish-cased |
125 |
50 |
512 |
True |
16,181 ± 2,451 / 4,620 ± 1,507 |
2.76 |
85.91 ± 0.98 / 83.05 ± 1.29 |
79.67 ± 1.62 / 76.00 ± 2.01 |
38.70 ± 2.53 / 50.88 ± 3.38 |
39.13 ± 2.97 / 67.97 ± 1.68 |
24.13 ± 6.88 / 60.76 ± 3.29 |
19.04 ± 4.63 / 27.73 ± 6.70 |
0.0.0 |
0.0.0 |
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 |
2.76 |
82.20 ± 1.19 / 79.13 ± 1.26 |
76.64 ± 1.10 / 72.90 ± 1.43 |
40.20 ± 1.56 / 54.68 ± 2.46 |
24.45 ± 2.21 / 58.75 ± 1.80 |
19.18 ± 3.55 / 57.93 ± 2.05 |
30.69 ± 1.64 / 42.59 ± 1.94 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,515 ± 465 / 785 ± 247 |
2.76 |
47.26 ± 3.76 / 40.22 ± 3.43 |
59.35 ± 2.82 / 45.26 ± 3.91 |
54.93 ± 3.49 / 68.45 ± 2.61 |
9.00 ± 2.87 / 37.53 ± 2.91 |
5.26 ± 3.15 / 39.01 ± 3.54 |
45.95 ± 3.12 / 68.00 ± 3.07 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
merge-crew/da-sv-ties (few-shot, val) |
7242 |
32 |
32768 |
True |
2,457 ± 451 / 757 ± 237 |
2.76 |
47.61 ± 2.50 / 42.16 ± 2.82 |
60.57 ± 2.02 / 48.89 ± 4.48 |
44.46 ± 4.10 / 52.31 ± 4.53 |
23.99 ± 5.54 / 60.60 ± 2.74 |
11.60 ± 3.18 / 53.40 ± 2.75 |
47.02 ± 3.37 / 69.07 ± 2.64 |
10.0.1 |
10.0.1 |
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 |
2.77 |
49.69 ± 2.90 / 43.57 ± 2.90 |
61.78 ± 2.03 / 49.91 ± 4.24 |
55.87 ± 5.21 / 68.97 ± 3.95 |
2.99 ± 3.04 / 34.16 ± 1.10 |
-1.29 ± 2.53 / 33.32 ± 0.91 |
44.62 ± 4.06 / 68.17 ± 3.48 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
AI-Sweden-Models/Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,141 ± 994 / 905 ± 299 |
2.78 |
44.53 ± 2.58 / 36.59 ± 1.71 |
47.02 ± 2.08 / 39.99 ± 2.76 |
41.84 ± 2.46 / 56.79 ± 2.95 |
19.97 ± 3.99 / 47.40 ± 4.84 |
15.61 ± 4.20 / 43.40 ± 4.90 |
50.91 ± 4.42 / 73.43 ± 3.55 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
DDSC/roberta-base-scandinavian |
125 |
50 |
512 |
True |
14,491 ± 2,800 / 3,182 ± 1,026 |
2.78 |
71.73 ± 15.69 / 68.50 ± 15.04 |
79.80 ± 0.72 / 75.76 ± 0.90 |
46.74 ± 5.96 / 60.25 ± 6.04 |
8.02 ± 12.19 / 50.30 ± 7.19 |
17.04 ± 13.78 / 56.87 ± 7.06 |
29.26 ± 1.27 / 42.50 ± 1.17 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) |
7242 |
32 |
32768 |
False |
2,890 ± 401 / 1,155 ± 348 |
2.78 |
53.96 ± 3.37 / 49.84 ± 3.30 |
63.45 ± 2.27 / 53.13 ± 3.43 |
52.70 ± 4.58 / 66.82 ± 3.41 |
14.87 ± 3.37 / 40.83 ± 1.91 |
2.48 ± 3.31 / 35.61 ± 1.83 |
41.43 ± 3.34 / 67.26 ± 2.73 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
merge-crew/da-sv-slerp (few-shot, val) |
7242 |
32 |
32768 |
True |
2,467 ± 469 / 762 ± 244 |
2.78 |
49.67 ± 3.12 / 43.26 ± 3.03 |
61.11 ± 1.93 / 50.15 ± 4.14 |
56.07 ± 5.22 / 68.93 ± 4.07 |
3.81 ± 3.09 / 34.47 ± 1.22 |
-1.29 ± 2.53 / 33.32 ± 0.91 |
44.98 ± 4.12 / 68.18 ± 3.39 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
birgermoell/NeuralBeagle-Flashback (few-shot, val) |
7242 |
32 |
32768 |
False |
2,904 ± 405 / 1,155 ± 349 |
2.79 |
51.78 ± 2.90 / 47.69 ± 3.44 |
61.22 ± 3.73 / 50.00 ± 4.37 |
53.06 ± 4.92 / 67.05 ± 4.22 |
10.27 ± 5.84 / 43.06 ± 3.15 |
8.06 ± 3.56 / 41.59 ± 3.99 |
40.64 ± 2.58 / 66.46 ± 2.62 |
9.3.0 |
9.3.0 |
9.3.0 |
9.3.0 |
9.3.0 |
12.5.2 |
birgermoell/Flashback-Bellman (few-shot, val) |
7242 |
32 |
32768 |
False |
2,887 ± 403 / 1,144 ± 345 |
2.80 |
56.44 ± 3.14 / 50.10 ± 4.61 |
66.56 ± 2.40 / 54.48 ± 4.93 |
53.24 ± 4.75 / 67.94 ± 3.75 |
11.96 ± 2.46 / 37.26 ± 1.15 |
2.50 ± 4.21 / 35.26 ± 1.79 |
39.21 ± 3.48 / 64.09 ± 3.49 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
AI-Sweden-Models/tyr (few-shot, val) |
7242 |
32 |
32768 |
False |
6,079 ± 1,051 / 1,760 ± 570 |
2.81 |
58.60 ± 4.42 / 52.72 ± 4.93 |
63.15 ± 2.29 / 54.03 ± 4.33 |
51.85 ± 3.51 / 64.28 ± 2.54 |
0.66 ± 1.29 / 33.42 ± 0.80 |
0.53 ± 1.05 / 33.42 ± 0.73 |
43.22 ± 2.24 / 68.55 ± 2.42 |
12.5.2 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
CohereForAI/aya-expanse-8b (few-shot) |
8028 |
256 |
8192 |
False |
5,581 ± 1,066 / 1,471 ± 483 |
2.81 |
66.55 ± 2.12 / 39.28 ± 3.45 |
63.63 ± 1.62 / 37.25 ± 3.49 |
38.61 ± 2.28 / 51.46 ± 2.62 |
15.80 ± 2.22 / 51.42 ± 3.79 |
12.30 ± 2.38 / 51.96 ± 3.31 |
43.26 ± 2.53 / 71.49 ± 2.01 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
danish-foundation-models/munin-7b-v0.1dev0 (few-shot) |
7242 |
32 |
8192 |
True |
6,113 ± 1,044 / 1,790 ± 579 |
2.81 |
50.43 ± 2.27 / 42.19 ± 3.03 |
54.20 ± 1.81 / 43.92 ± 2.94 |
39.21 ± 5.64 / 56.54 ± 6.43 |
20.51 ± 4.43 / 52.48 ± 5.96 |
11.66 ± 4.10 / 48.13 ± 6.13 |
51.57 ± 3.87 / 73.95 ± 3.51 |
12.5.2 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
facebook/xlm-v-base |
778 |
902 |
512 |
True |
25,396 ± 6,394 / 4,534 ± 1,421 |
2.81 |
89.99 ± 1.32 / 87.51 ± 1.20 |
78.60 ± 3.17 / 74.97 ± 3.56 |
17.93 ± 14.48 / 34.24 ± 10.14 |
43.46 ± 17.47 / 66.52 ± 12.26 |
10.97 ± 10.84 / 43.47 ± 9.81 |
43.74 ± 2.17 / 59.80 ± 1.86 |
0.0.0 |
0.0.0 |
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 |
2.82 |
40.91 ± 2.56 / 33.22 ± 1.88 |
42.91 ± 2.34 / 35.61 ± 2.22 |
52.62 ± 2.01 / 68.10 ± 2.25 |
9.70 ± 4.22 / 36.58 ± 1.69 |
11.98 ± 2.76 / 39.37 ± 2.76 |
47.36 ± 4.28 / 72.71 ± 4.10 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
KBLab/bert-base-swedish-cased |
125 |
50 |
512 |
True |
16,164 ± 2,392 / 4,574 ± 1,478 |
2.83 |
85.33 ± 1.01 / 82.13 ± 1.28 |
79.44 ± 1.66 / 75.74 ± 1.96 |
38.17 ± 2.21 / 50.44 ± 3.11 |
39.49 ± 3.36 / 68.13 ± 2.13 |
22.17 ± 7.22 / 60.16 ± 3.80 |
19.04 ± 4.63 / 27.73 ± 6.70 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
birgermoell/Rapid-Cycling (few-shot, val) |
7242 |
32 |
32768 |
False |
2,346 ± 450 / 666 ± 249 |
2.83 |
55.93 ± 2.70 / 50.51 ± 3.15 |
63.85 ± 2.45 / 53.11 ± 4.11 |
50.41 ± 5.49 / 64.49 ± 4.37 |
15.74 ± 4.15 / 41.16 ± 2.21 |
2.23 ± 4.69 / 34.70 ± 1.39 |
39.81 ± 2.81 / 65.65 ± 2.64 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
mhenrichsen/hestenettetLM (few-shot) |
7242 |
32 |
32768 |
True |
5,160 ± 804 / 1,654 ± 516 |
2.83 |
52.52 ± 1.85 / 43.46 ± 2.21 |
55.60 ± 3.22 / 45.25 ± 4.20 |
48.23 ± 3.31 / 65.51 ± 3.01 |
8.53 ± 3.72 / 38.61 ± 3.22 |
6.65 ± 1.40 / 39.32 ± 2.51 |
46.89 ± 3.29 / 70.96 ± 2.84 |
12.5.2 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
mistralai/Mistral-7B-v0.1 (few-shot) |
7242 |
32 |
32768 |
True |
2,657 ± 524 / 880 ± 278 |
2.83 |
52.00 ± 1.91 / 43.55 ± 2.21 |
55.12 ± 3.14 / 45.34 ± 4.15 |
47.25 ± 4.11 / 64.53 ± 3.71 |
8.66 ± 4.12 / 38.87 ± 3.40 |
6.80 ± 1.59 / 39.72 ± 2.50 |
46.86 ± 3.27 / 70.86 ± 2.79 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) |
7242 |
32 |
32768 |
True |
5,054 ± 1,200 / 1,056 ± 339 |
2.83 |
48.97 ± 2.42 / 39.15 ± 2.78 |
51.52 ± 2.96 / 40.17 ± 3.62 |
49.05 ± 2.73 / 63.94 ± 2.42 |
14.37 ± 2.18 / 47.80 ± 4.36 |
9.96 ± 1.34 / 48.97 ± 3.77 |
44.07 ± 3.40 / 68.49 ± 2.97 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
bineric/NorskGPT-Llama-13B-v0.1 (few-shot) |
unknown |
32 |
4096 |
False |
2,856 ± 645 / 709 ± 243 |
2.84 |
56.72 ± 1.90 / 43.75 ± 2.72 |
57.62 ± 1.35 / 43.81 ± 2.43 |
48.86 ± 2.54 / 64.32 ± 2.46 |
9.87 ± 1.78 / 44.29 ± 3.62 |
6.90 ± 1.65 / 48.96 ± 3.09 |
41.27 ± 3.42 / 69.36 ± 3.54 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
mlabonne/AlphaMonarch-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
5,340 ± 1,262 / 1,157 ± 375 |
2.84 |
61.90 ± 2.57 / 57.16 ± 2.81 |
66.92 ± 2.52 / 57.81 ± 3.54 |
48.80 ± 4.56 / 63.38 ± 3.06 |
19.53 ± 5.49 / 51.96 ± 4.90 |
9.83 ± 4.57 / 47.95 ± 2.22 |
30.27 ± 2.28 / 62.04 ± 2.19 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
ltg/norbert3-xs |
15 |
50 |
508 |
True |
14,208 ± 2,713 / 3,059 ± 1,002 |
2.85 |
87.63 ± 0.64 / 84.17 ± 0.81 |
80.19 ± 2.00 / 75.70 ± 2.31 |
49.92 ± 1.44 / 63.75 ± 1.45 |
7.93 ± 4.24 / 50.87 ± 2.29 |
5.06 ± 0.83 / 51.44 ± 1.05 |
22.46 ± 5.97 / 34.67 ± 8.87 |
0.0.0 |
0.0.0 |
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 |
2.86 |
83.93 ± 0.95 / 81.01 ± 0.94 |
79.39 ± 1.03 / 75.07 ± 1.03 |
32.32 ± 2.30 / 47.12 ± 2.85 |
36.15 ± 1.99 / 66.57 ± 1.11 |
30.17 ± 1.72 / 63.98 ± 1.36 |
19.71 ± 1.41 / 30.26 ± 1.56 |
0.0.0 |
0.0.0 |
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 |
2.86 |
84.11 ± 1.00 / 81.35 ± 1.22 |
77.22 ± 1.99 / 73.67 ± 2.26 |
37.02 ± 1.09 / 47.88 ± 2.50 |
35.42 ± 12.32 / 66.30 ± 6.78 |
6.87 ± 6.85 / 50.70 ± 3.62 |
25.98 ± 2.87 / 36.16 ± 3.35 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
12.6.1 |
bineric/NorskGPT-Llama-7B-v0.1 (few-shot) |
6738 |
32 |
4096 |
False |
5,384 ± 879 / 1,746 ± 553 |
2.86 |
56.18 ± 3.05 / 49.39 ± 2.78 |
56.96 ± 1.64 / 48.30 ± 5.46 |
50.94 ± 1.41 / 66.55 ± 1.06 |
8.19 ± 1.95 / 45.17 ± 3.69 |
5.55 ± 1.71 / 48.92 ± 2.94 |
41.35 ± 2.33 / 69.72 ± 2.52 |
12.5.2 |
12.5.2 |
12.3.2 |
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 |
2.87 |
53.68 ± 2.01 / 49.22 ± 2.67 |
61.92 ± 4.06 / 49.03 ± 3.97 |
47.78 ± 3.19 / 57.76 ± 2.55 |
0.91 ± 1.78 / 33.51 ± 0.85 |
1.24 ± 1.66 / 33.71 ± 0.94 |
47.76 ± 2.93 / 70.99 ± 2.39 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
distilbert/distilbert-base-multilingual-cased |
135 |
120 |
512 |
True |
26,355 ± 5,946 / 5,266 ± 1,714 |
2.87 |
83.62 ± 0.75 / 80.61 ± 1.00 |
80.69 ± 0.69 / 76.61 ± 0.81 |
33.16 ± 2.13 / 46.93 ± 2.66 |
36.10 ± 2.45 / 66.11 ± 1.85 |
30.10 ± 2.50 / 64.29 ± 1.69 |
19.26 ± 1.57 / 30.04 ± 2.13 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
Geotrend/distilbert-base-25lang-cased |
109 |
85 |
512 |
True |
26,099 ± 5,881 / 5,178 ± 1,665 |
2.89 |
83.59 ± 1.36 / 80.55 ± 1.53 |
80.29 ± 1.02 / 76.08 ± 1.06 |
33.19 ± 1.75 / 46.63 ± 2.55 |
32.60 ± 6.93 / 65.19 ± 3.31 |
24.97 ± 6.47 / 61.39 ± 3.34 |
19.93 ± 1.76 / 30.69 ± 2.36 |
0.0.0 |
0.0.0 |
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 |
2.89 |
83.49 ± 0.83 / 80.32 ± 0.76 |
80.23 ± 1.09 / 76.10 ± 1.23 |
32.66 ± 1.96 / 46.26 ± 3.19 |
33.65 ± 6.63 / 65.22 ± 4.03 |
29.07 ± 2.20 / 63.35 ± 1.54 |
19.29 ± 1.27 / 29.94 ± 1.81 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) |
7242 |
32 |
32768 |
False |
3,006 ± 479 / 1,053 ± 319 |
2.89 |
51.99 ± 1.85 / 37.40 ± 2.95 |
52.74 ± 1.13 / 36.83 ± 1.95 |
50.39 ± 1.38 / 66.42 ± 1.20 |
0.99 ± 1.03 / 33.56 ± 0.25 |
1.27 ± 1.30 / 34.04 ± 0.45 |
47.95 ± 3.19 / 72.60 ± 2.57 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
12.4.0 |
jhu-clsp/bernice |
278 |
250 |
128 |
True |
5,567 ± 450 / 2,483 ± 798 |
2.89 |
84.11 ± 1.13 / 81.19 ± 1.37 |
77.82 ± 1.28 / 73.93 ± 1.46 |
39.63 ± 1.06 / 49.23 ± 2.13 |
45.75 ± 3.27 / 71.33 ± 1.67 |
33.74 ± 2.91 / 63.89 ± 3.31 |
5.35 ± 3.79 / 7.65 ± 5.41 |
0.0.0 |
0.0.0 |
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 |
2.90 |
81.94 ± 0.73 / 78.39 ± 0.86 |
75.56 ± 1.01 / 71.27 ± 1.18 |
55.53 ± 1.05 / 68.89 ± 1.16 |
36.01 ± 2.02 / 64.39 ± 1.49 |
14.99 ± 8.03 / 54.08 ± 5.71 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
2.90 |
81.26 ± 1.25 / 77.69 ± 1.29 |
74.05 ± 1.72 / 69.84 ± 1.91 |
49.93 ± 1.46 / 62.37 ± 2.34 |
38.26 ± 7.56 / 66.01 ± 3.69 |
25.17 ± 5.32 / 61.27 ± 3.01 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
2.91 |
26.43 ± 3.36 / 26.32 ± 2.35 |
32.66 ± 3.42 / 29.43 ± 1.74 |
41.82 ± 3.69 / 53.06 ± 5.15 |
25.82 ± 4.43 / 59.85 ± 4.07 |
20.16 ± 3.43 / 53.83 ± 5.61 |
52.68 ± 3.58 / 75.16 ± 2.44 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
mistralai/Mistral-7B-v0.3 (few-shot) |
7248 |
33 |
32768 |
True |
4,120 ± 976 / 926 ± 306 |
2.91 |
50.56 ± 2.04 / 44.38 ± 1.85 |
52.65 ± 2.27 / 46.48 ± 3.65 |
44.61 ± 2.28 / 62.22 ± 2.10 |
12.10 ± 4.22 / 43.27 ± 5.24 |
9.30 ± 0.99 / 46.11 ± 3.47 |
45.15 ± 3.72 / 68.61 ± 3.30 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
alpindale/Mistral-7B-v0.2-hf (few-shot) |
7242 |
32 |
32768 |
True |
1,841 ± 297 / 651 ± 193 |
2.92 |
50.63 ± 2.12 / 44.59 ± 1.80 |
52.69 ± 2.30 / 46.51 ± 3.63 |
44.05 ± 2.51 / 61.80 ± 2.28 |
11.60 ± 4.10 / 43.01 ± 5.07 |
9.26 ± 1.14 / 46.28 ± 3.60 |
45.23 ± 3.73 / 68.68 ± 3.29 |
12.5.2 |
12.5.2 |
12.5.1 |
12.5.1 |
12.5.1 |
12.5.1 |
Mabeck/Heidrun-Mistral-7B-base (few-shot) |
7242 |
32 |
32768 |
True |
3,823 ± 967 / 860 ± 280 |
2.93 |
50.10 ± 2.16 / 41.80 ± 2.77 |
54.81 ± 1.88 / 45.95 ± 3.21 |
48.64 ± 2.14 / 66.06 ± 1.47 |
10.31 ± 3.46 / 43.68 ± 5.10 |
1.11 ± 2.48 / 36.52 ± 2.31 |
42.20 ± 3.02 / 65.18 ± 2.86 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
ibm-granite/granite-8b-code-base-4k (few-shot) |
8055 |
49 |
4096 |
True |
2,313 ± 423 / 682 ± 210 |
2.95 |
68.40 ± 1.16 / 62.53 ± 1.69 |
65.15 ± 0.79 / 60.39 ± 2.11 |
42.00 ± 1.78 / 59.90 ± 1.22 |
5.20 ± 2.23 / 36.33 ± 1.30 |
3.32 ± 2.02 / 37.81 ± 3.26 |
37.51 ± 2.58 / 60.94 ± 3.06 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
sentence-transformers/stsb-xlm-r-multilingual |
278 |
250 |
512 |
True |
15,040 ± 2,953 / 3,417 ± 1,100 |
2.96 |
80.08 ± 1.46 / 75.93 ± 1.64 |
74.59 ± 1.98 / 70.26 ± 2.24 |
52.16 ± 0.99 / 66.79 ± 0.98 |
36.30 ± 6.44 / 65.52 ± 3.06 |
14.21 ± 6.44 / 52.78 ± 5.69 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
2.97 |
83.27 ± 1.20 / 80.29 ± 1.38 |
79.59 ± 0.97 / 75.31 ± 1.19 |
29.37 ± 2.58 / 44.05 ± 3.33 |
31.50 ± 6.37 / 64.62 ± 3.29 |
24.06 ± 7.24 / 61.01 ± 3.82 |
18.62 ± 0.81 / 29.69 ± 1.81 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
meta-llama/Llama-2-13b-chat-hf (few-shot) |
13016 |
32 |
4096 |
True |
2,849 ± 622 / 723 ± 229 |
2.97 |
57.21 ± 1.51 / 40.40 ± 2.79 |
59.62 ± 1.34 / 41.07 ± 2.58 |
38.93 ± 3.56 / 57.45 ± 3.77 |
8.65 ± 3.33 / 47.18 ± 3.98 |
5.92 ± 1.58 / 47.50 ± 3.58 |
42.32 ± 2.80 / 69.24 ± 2.68 |
12.10.5 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.4 |
12.11.0 |
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
3,254 ± 1,068 / 484 ± 173 |
2.98 |
58.61 ± 1.58 / 47.74 ± 2.83 |
60.40 ± 1.25 / 47.53 ± 2.68 |
41.36 ± 3.50 / 58.47 ± 3.79 |
6.52 ± 2.11 / 38.10 ± 2.56 |
3.95 ± 2.52 / 42.37 ± 4.20 |
38.93 ± 2.43 / 65.76 ± 3.07 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
google/gemma-7b-it (few-shot) |
8538 |
256 |
8192 |
False |
1,792 ± 249 / 668 ± 203 |
2.98 |
59.77 ± 2.77 / 56.12 ± 2.72 |
60.98 ± 2.01 / 57.99 ± 1.31 |
28.14 ± 1.90 / 49.76 ± 1.59 |
14.01 ± 2.15 / 56.43 ± 1.08 |
10.15 ± 1.06 / 54.56 ± 0.71 |
51.08 ± 2.83 / 74.34 ± 1.55 |
12.10.0 |
12.10.0 |
12.10.0 |
12.10.0 |
12.10.0 |
12.10.0 |
Geotrend/distilbert-base-da-cased |
61 |
23 |
512 |
True |
28,950 ± 5,114 / 7,010 ± 2,267 |
2.99 |
82.84 ± 0.61 / 79.91 ± 0.64 |
78.83 ± 1.18 / 74.64 ± 1.40 |
30.70 ± 2.63 / 43.77 ± 2.62 |
34.24 ± 2.30 / 65.60 ± 1.50 |
27.20 ± 2.61 / 62.87 ± 1.41 |
16.44 ± 1.76 / 26.22 ± 2.65 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
CohereForAI/aya-23-8B (few-shot) |
8028 |
256 |
8192 |
False |
5,608 ± 1,062 / 1,472 ± 479 |
3.00 |
60.94 ± 2.30 / 53.33 ± 3.53 |
59.61 ± 1.37 / 50.84 ± 3.99 |
35.73 ± 1.26 / 50.42 ± 1.67 |
6.18 ± 1.69 / 35.40 ± 1.06 |
4.00 ± 1.01 / 36.17 ± 0.94 |
46.52 ± 2.15 / 71.95 ± 1.63 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
jannikskytt/MeDa-Bert |
111 |
32 |
511 |
True |
16,114 ± 2,429 / 4,566 ± 1,482 |
3.01 |
71.69 ± 0.92 / 68.09 ± 0.91 |
60.00 ± 1.99 / 56.64 ± 1.98 |
38.94 ± 2.59 / 53.58 ± 3.33 |
30.32 ± 4.68 / 62.42 ± 3.11 |
7.99 ± 3.34 / 53.24 ± 1.64 |
24.02 ± 1.35 / 37.28 ± 1.24 |
0.0.0 |
0.0.0 |
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 |
3.01 |
45.50 ± 2.71 / 40.02 ± 3.16 |
45.96 ± 2.67 / 41.28 ± 2.25 |
44.46 ± 3.40 / 62.00 ± 2.71 |
0.00 ± 0.00 / 33.41 ± 0.30 |
0.00 ± 0.00 / 33.86 ± 0.33 |
52.19 ± 2.88 / 74.97 ± 2.11 |
12.5.2 |
12.5.2 |
12.2.0 |
12.3.1 |
12.3.1 |
12.4.0 |
flax-community/nordic-roberta-wiki |
125 |
50 |
512 |
True |
16,227 ± 2,650 / 4,252 ± 1,393 |
3.02 |
85.42 ± 0.61 / 82.31 ± 0.65 |
78.92 ± 1.42 / 74.86 ± 1.50 |
36.27 ± 1.57 / 50.95 ± 1.70 |
48.07 ± 5.64 / 72.00 ± 4.07 |
29.81 ± 3.52 / 64.03 ± 2.35 |
0.44 ± 0.41 / 1.08 ± 0.99 |
0.0.0 |
0.0.0 |
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 |
3.04 |
77.98 ± 1.58 / 75.03 ± 1.70 |
75.00 ± 1.28 / 71.00 ± 1.64 |
33.88 ± 1.40 / 49.21 ± 1.98 |
24.23 ± 1.83 / 58.89 ± 1.43 |
18.18 ± 2.65 / 57.28 ± 1.84 |
20.56 ± 1.82 / 30.08 ± 2.54 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
3.04 |
50.08 ± 1.54 / 34.52 ± 1.17 |
51.27 ± 1.52 / 33.37 ± 2.37 |
43.65 ± 1.98 / 60.88 ± 1.36 |
14.09 ± 2.85 / 44.91 ± 3.95 |
8.28 ± 1.82 / 47.22 ± 3.72 |
37.23 ± 3.15 / 63.67 ± 2.98 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
3.04 |
53.42 ± 2.48 / 42.63 ± 1.66 |
54.34 ± 1.93 / 41.06 ± 2.40 |
38.79 ± 2.56 / 53.72 ± 3.01 |
17.06 ± 1.53 / 56.51 ± 2.06 |
11.00 ± 1.00 / 53.26 ± 2.32 |
35.74 ± 2.44 / 64.27 ± 2.42 |
9.2.0 |
9.2.0 |
9.2.0 |
9.3.1 |
9.3.1 |
12.4.0 |
ibm-granite/granite-8b-code-instruct-4k (few-shot) |
8055 |
49 |
4096 |
True |
5,617 ± 995 / 1,623 ± 540 |
3.06 |
66.91 ± 1.50 / 54.98 ± 2.20 |
62.82 ± 1.23 / 53.14 ± 3.17 |
40.71 ± 1.63 / 59.35 ± 1.58 |
9.50 ± 1.68 / 46.31 ± 3.06 |
6.74 ± 1.70 / 42.10 ± 4.67 |
32.83 ± 1.83 / 55.30 ± 2.35 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
meta-llama/Llama-3.2-3B (few-shot) |
3213 |
128 |
131073 |
True |
3,713 ± 877 / 836 ± 267 |
3.06 |
49.57 ± 2.20 / 37.13 ± 2.52 |
52.13 ± 3.94 / 38.26 ± 3.77 |
39.96 ± 2.25 / 58.34 ± 1.66 |
3.20 ± 3.84 / 37.62 ± 4.94 |
3.72 ± 3.66 / 38.51 ± 4.61 |
45.54 ± 3.50 / 68.67 ± 2.58 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
NorwAI/NorwAI-Mistral-7B (few-shot) |
7537 |
68 |
4096 |
True |
3,035 ± 503 / 911 ± 300 |
3.09 |
21.09 ± 6.44 / 20.45 ± 2.65 |
26.31 ± 4.64 / 26.42 ± 2.98 |
49.00 ± 3.88 / 65.98 ± 2.95 |
7.15 ± 2.14 / 40.83 ± 3.95 |
7.98 ± 2.64 / 45.21 ± 4.95 |
47.70 ± 5.32 / 68.04 ± 5.37 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
danish-foundation-models/encoder-medium-v1 |
111 |
32 |
512 |
True |
16,130 ± 2,433 / 4,566 ± 1,473 |
3.09 |
68.66 ± 1.05 / 65.08 ± 1.07 |
61.77 ± 2.03 / 57.87 ± 2.08 |
36.56 ± 1.53 / 51.54 ± 2.45 |
31.23 ± 6.86 / 63.55 ± 5.48 |
5.40 ± 4.63 / 44.64 ± 6.37 |
22.56 ± 0.95 / 34.52 ± 1.15 |
0.0.0 |
0.0.0 |
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 |
3.09 |
57.01 ± 1.93 / 44.65 ± 2.87 |
56.77 ± 0.98 / 41.67 ± 3.53 |
38.81 ± 2.67 / 56.39 ± 3.13 |
14.16 ± 2.24 / 54.43 ± 2.61 |
9.29 ± 2.65 / 50.59 ± 3.99 |
32.75 ± 1.68 / 59.21 ± 2.11 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 |
118 |
250 |
512 |
True |
29,201 ± 6,282 / 6,045 ± 2,027 |
3.09 |
78.31 ± 1.22 / 74.65 ± 1.36 |
72.13 ± 0.90 / 67.28 ± 1.09 |
47.53 ± 0.94 / 62.73 ± 1.07 |
26.92 ± 3.12 / 61.93 ± 2.04 |
14.63 ± 4.00 / 56.24 ± 2.51 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
3.10 |
83.23 ± 1.19 / 80.34 ± 1.44 |
79.16 ± 1.50 / 75.55 ± 1.69 |
33.94 ± 3.74 / 47.96 ± 4.12 |
9.56 ± 5.01 / 52.24 ± 2.78 |
4.16 ± 2.97 / 50.07 ± 2.09 |
22.84 ± 2.52 / 33.72 ± 3.11 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ibm-granite/granite-3.0-2b-instruct (few-shot) |
2634 |
49 |
4097 |
True |
10,194 ± 2,403 / 2,193 ± 731 |
3.10 |
52.68 ± 2.02 / 46.01 ± 1.94 |
53.17 ± 0.85 / 47.77 ± 2.12 |
39.87 ± 1.73 / 55.71 ± 2.40 |
12.08 ± 2.13 / 51.41 ± 4.09 |
7.18 ± 2.00 / 48.84 ± 3.17 |
36.00 ± 2.29 / 61.00 ± 2.15 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
mideind/IceBERT-xlmr-ic3 |
278 |
250 |
512 |
True |
11,004 ± 2,244 / 2,324 ± 761 |
3.10 |
82.46 ± 1.46 / 83.74 ± 1.16 |
74.22 ± 0.57 / 77.50 ± 0.57 |
37.19 ± 1.76 / 47.27 ± 2.85 |
13.25 ± 6.73 / 48.39 ± 7.10 |
7.96 ± 5.56 / 45.68 ± 6.73 |
18.75 ± 3.84 / 30.21 ± 5.73 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
sarnikowski/convbert-medium-small-da-cased |
24 |
29 |
512 |
True |
13,821 ± 2,209 / 3,547 ± 1,184 |
3.11 |
79.50 ± 0.70 / 76.09 ± 0.70 |
73.03 ± 1.28 / 68.84 ± 1.39 |
32.40 ± 1.48 / 44.59 ± 1.66 |
41.65 ± 1.95 / 70.35 ± 0.97 |
25.53 ± 2.31 / 62.04 ± 1.19 |
5.41 ± 2.79 / 8.15 ± 4.18 |
0.0.0 |
0.0.0 |
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 |
3.13 |
51.12 ± 3.13 / 47.26 ± 2.62 |
55.35 ± 1.60 / 49.99 ± 2.21 |
23.75 ± 3.25 / 42.92 ± 4.45 |
14.00 ± 4.25 / 42.71 ± 5.83 |
7.61 ± 2.57 / 45.86 ± 3.96 |
49.24 ± 4.28 / 72.68 ± 3.66 |
12.10.5 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.5 |
occiglot/occiglot-7b-eu5 (few-shot) |
7242 |
32 |
32768 |
True |
2,219 ± 427 / 717 ± 224 |
3.13 |
45.28 ± 3.06 / 41.73 ± 2.14 |
46.00 ± 4.26 / 42.96 ± 3.38 |
44.95 ± 3.19 / 61.88 ± 2.88 |
0.00 ± 0.00 / 33.41 ± 0.30 |
0.00 ± 0.00 / 33.86 ± 0.33 |
43.88 ± 4.07 / 66.65 ± 4.20 |
12.5.2 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) |
7800 |
100 |
4096 |
True |
6,197 ± 1,118 / 1,730 ± 577 |
3.15 |
42.77 ± 2.42 / 40.31 ± 2.34 |
45.69 ± 3.69 / 43.11 ± 3.62 |
37.79 ± 2.38 / 56.41 ± 2.91 |
8.77 ± 1.96 / 49.11 ± 4.22 |
8.47 ± 3.16 / 49.65 ± 4.39 |
44.24 ± 4.15 / 65.11 ± 3.79 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
google/gemma-2-2b-it (few-shot) |
2614 |
256 |
8193 |
True |
5,374 ± 1,233 / 1,193 ± 377 |
3.15 |
35.56 ± 1.33 / 28.84 ± 2.19 |
37.70 ± 3.04 / 30.22 ± 2.39 |
46.84 ± 2.20 / 63.22 ± 1.89 |
17.15 ± 2.01 / 55.59 ± 2.04 |
14.38 ± 1.96 / 54.95 ± 1.73 |
29.75 ± 1.52 / 63.79 ± 1.50 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
meta-llama/Llama-2-7b-hf (few-shot) |
6738 |
32 |
4096 |
True |
930 ± 310 / 128 ± 43 |
3.16 |
42.13 ± 3.82 / 37.17 ± 3.44 |
43.80 ± 2.85 / 37.48 ± 4.00 |
41.74 ± 2.25 / 57.91 ± 2.82 |
0.00 ± 0.00 / 33.41 ± 0.30 |
0.02 ± 0.04 / 33.88 ± 0.35 |
44.19 ± 4.13 / 66.18 ± 4.05 |
9.2.0 |
9.2.0 |
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 |
3.18 |
44.99 ± 2.49 / 38.59 ± 2.84 |
49.09 ± 1.90 / 39.09 ± 4.02 |
41.56 ± 3.37 / 57.09 ± 3.80 |
3.04 ± 2.84 / 36.81 ± 2.42 |
4.03 ± 2.49 / 40.55 ± 4.14 |
33.77 ± 2.11 / 61.99 ± 2.34 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
Addedk/mbert-swedish-distilled-cased |
135 |
120 |
512 |
True |
26,091 ± 5,835 / 5,209 ± 1,690 |
3.19 |
82.98 ± 1.32 / 79.80 ± 1.69 |
76.65 ± 1.24 / 72.29 ± 1.44 |
30.38 ± 2.29 / 42.84 ± 2.38 |
21.99 ± 6.74 / 54.54 ± 7.12 |
19.06 ± 4.26 / 56.45 ± 5.24 |
9.47 ± 5.36 / 15.24 ± 8.64 |
0.0.0 |
0.0.0 |
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 |
3.20 |
30.82 ± 5.81 / 25.27 ± 3.92 |
39.56 ± 4.73 / 32.12 ± 4.06 |
34.50 ± 1.29 / 42.21 ± 1.39 |
15.17 ± 1.41 / 49.46 ± 2.90 |
12.46 ± 3.29 / 48.89 ± 5.19 |
42.81 ± 3.10 / 66.15 ± 3.21 |
9.3.1 |
9.3.1 |
12.10.0 |
9.3.1 |
9.3.1 |
9.3.1 |
emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) |
3821 |
32 |
4096 |
False |
1,360 ± 179 / 566 ± 190 |
3.20 |
56.41 ± 2.05 / 37.55 ± 3.57 |
53.95 ± 1.23 / 38.44 ± 4.85 |
42.27 ± 1.52 / 56.76 ± 2.10 |
0.00 ± 0.00 / 33.41 ± 0.30 |
0.21 ± 1.00 / 34.08 ± 0.56 |
29.35 ± 1.40 / 53.48 ± 2.01 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
01-ai/Yi-6B (few-shot) |
6061 |
64 |
4096 |
True |
6,435 ± 1,316 / 1,632 ± 549 |
3.21 |
43.44 ± 1.89 / 33.41 ± 2.21 |
46.33 ± 3.12 / 34.05 ± 2.27 |
38.96 ± 2.34 / 56.27 ± 3.65 |
0.75 ± 1.07 / 33.42 ± 0.29 |
1.04 ± 1.93 / 33.14 ± 0.66 |
40.28 ± 3.58 / 62.78 ± 3.34 |
9.3.2 |
9.3.2 |
10.0.0 |
10.0.0 |
10.0.0 |
12.5.1 |
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,461 ± 476 / 773 ± 248 |
3.21 |
35.98 ± 3.79 / 27.51 ± 2.13 |
47.39 ± 2.31 / 36.42 ± 2.87 |
38.98 ± 5.51 / 58.23 ± 4.01 |
11.54 ± 5.04 / 49.91 ± 3.96 |
5.20 ± 3.47 / 46.19 ± 5.23 |
37.54 ± 3.00 / 56.56 ± 2.96 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
Twitter/twhin-bert-large |
561 |
250 |
512 |
True |
9,707 ± 1,664 / 2,549 ± 831 |
3.22 |
86.26 ± 0.71 / 83.48 ± 1.19 |
80.10 ± 2.44 / 76.17 ± 2.67 |
34.17 ± 2.42 / 43.74 ± 2.19 |
12.11 ± 10.47 / 50.33 ± 7.16 |
4.28 ± 4.18 / 45.75 ± 4.32 |
11.74 ± 10.45 / 16.38 ± 14.33 |
0.0.0 |
0.0.0 |
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 |
3.22 |
38.82 ± 5.36 / 30.48 ± 1.91 |
43.28 ± 3.13 / 33.87 ± 3.30 |
38.05 ± 1.85 / 47.06 ± 3.97 |
8.45 ± 2.47 / 46.75 ± 3.97 |
7.50 ± 1.65 / 48.14 ± 4.65 |
40.47 ± 2.77 / 64.21 ± 2.94 |
12.5.2 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.4.0 |
LumiOpen/Viking-33B@1000B (few-shot) |
33119 |
131 |
4099 |
True |
2,080 ± 700 / 331 ± 117 |
3.23 |
40.40 ± 2.29 / 30.41 ± 2.07 |
44.45 ± 3.61 / 34.06 ± 3.27 |
40.79 ± 1.70 / 57.84 ± 2.77 |
5.91 ± 2.51 / 47.81 ± 3.76 |
2.98 ± 2.86 / 45.49 ± 4.59 |
37.75 ± 3.23 / 59.72 ± 3.03 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
flax-community/swe-roberta-wiki-oscar |
125 |
50 |
512 |
True |
15,437 ± 2,628 / 3,834 ± 1,252 |
3.23 |
79.25 ± 1.22 / 76.73 ± 1.16 |
75.39 ± 1.03 / 71.63 ± 1.31 |
36.56 ± 3.06 / 51.25 ± 3.01 |
22.02 ± 5.34 / 57.45 ± 3.59 |
19.72 ± 3.67 / 56.70 ± 2.89 |
0.78 ± 0.74 / 1.49 ± 1.32 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
microsoft/Phi-3-mini-4k-instruct (few-shot) |
3821 |
32 |
4096 |
True |
5,224 ± 1,371 / 1,063 ± 358 |
3.23 |
56.33 ± 1.63 / 36.68 ± 3.27 |
54.68 ± 1.29 / 37.85 ± 3.79 |
37.18 ± 1.30 / 55.44 ± 1.46 |
6.76 ± 2.81 / 41.69 ± 2.82 |
6.79 ± 1.51 / 45.45 ± 3.51 |
30.11 ± 2.09 / 52.56 ± 2.38 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
sarnikowski/convbert-small-da-cased |
13 |
29 |
512 |
True |
14,273 ± 2,312 / 3,555 ± 1,187 |
3.23 |
76.07 ± 1.18 / 72.78 ± 1.16 |
70.94 ± 1.19 / 66.73 ± 1.21 |
32.49 ± 1.55 / 43.12 ± 0.71 |
35.43 ± 2.39 / 66.84 ± 1.17 |
21.11 ± 1.97 / 60.09 ± 0.93 |
1.84 ± 2.41 / 2.78 ± 3.65 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) |
20918 |
64 |
2048 |
True |
1,831 ± 587 / 268 ± 90 |
3.24 |
23.95 ± 1.93 / 21.43 ± 1.89 |
26.55 ± 1.50 / 25.06 ± 1.61 |
40.89 ± 3.60 / 59.86 ± 3.59 |
9.45 ± 1.58 / 44.62 ± 3.29 |
8.32 ± 1.89 / 42.30 ± 2.78 |
43.19 ± 1.82 / 67.93 ± 1.55 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
meta-llama/Llama-3.2-3B-Instruct (few-shot) |
3213 |
128 |
131073 |
False |
10,424 ± 2,641 / 2,081 ± 666 |
3.24 |
49.66 ± 1.79 / 39.31 ± 2.55 |
51.98 ± 1.55 / 42.48 ± 3.10 |
44.13 ± 2.80 / 60.09 ± 3.10 |
0.67 ± 1.18 / 33.81 ± 0.33 |
1.11 ± 0.93 / 33.03 ± 0.39 |
28.62 ± 4.16 / 56.91 ± 4.14 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
DDSC/roberta-base-danish |
125 |
50 |
512 |
True |
15,004 ± 2,964 / 3,290 ± 1,092 |
3.25 |
76.14 ± 2.58 / 72.24 ± 2.54 |
72.88 ± 1.50 / 68.61 ± 1.62 |
32.29 ± 9.23 / 49.08 ± 8.36 |
0.45 ± 1.61 / 49.14 ± 1.42 |
-0.08 ± 1.79 / 45.89 ± 3.49 |
23.91 ± 2.24 / 36.47 ± 2.77 |
0.0.0 |
0.0.0 |
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 |
3.25 |
46.49 ± 2.30 / 31.87 ± 1.92 |
51.46 ± 2.36 / 35.87 ± 2.14 |
37.98 ± 1.72 / 43.91 ± 2.51 |
7.86 ± 2.74 / 47.20 ± 2.71 |
7.23 ± 1.97 / 46.62 ± 3.92 |
33.31 ± 1.03 / 59.27 ± 1.53 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
NorwAI/NorwAI-Llama2-7B (few-shot) |
7033 |
68 |
4096 |
True |
4,438 ± 1,128 / 1,028 ± 346 |
3.26 |
31.45 ± 1.64 / 31.64 ± 1.89 |
33.85 ± 1.95 / 34.29 ± 1.91 |
36.06 ± 3.96 / 52.59 ± 4.67 |
8.34 ± 2.97 / 45.11 ± 4.57 |
6.84 ± 3.88 / 45.28 ± 5.45 |
48.31 ± 4.22 / 69.39 ± 4.10 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) |
7111 |
64 |
2048 |
True |
2,351 ± 448 / 707 ± 216 |
3.27 |
29.62 ± 4.17 / 24.40 ± 2.42 |
32.30 ± 5.27 / 29.23 ± 3.22 |
34.67 ± 5.23 / 54.62 ± 5.71 |
8.37 ± 1.71 / 48.94 ± 2.72 |
7.76 ± 2.86 / 46.16 ± 4.77 |
44.62 ± 3.31 / 67.57 ± 3.03 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
Qwen/Qwen1.5-4B-Chat (few-shot) |
3950 |
152 |
32768 |
False |
4,347 ± 893 / 1,135 ± 365 |
3.27 |
44.83 ± 1.58 / 40.11 ± 2.00 |
46.29 ± 1.65 / 41.63 ± 3.45 |
32.70 ± 1.59 / 45.73 ± 2.82 |
3.57 ± 1.55 / 37.05 ± 2.34 |
1.61 ± 2.11 / 37.85 ± 3.99 |
42.55 ± 3.36 / 67.11 ± 2.50 |
12.5.2 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.5.2 |
microsoft/Phi-3-mini-128k-instruct (few-shot) |
3821 |
32 |
131072 |
True |
7,312 ± 1,668 / 1,609 ± 525 |
3.28 |
52.18 ± 2.03 / 29.83 ± 3.23 |
50.53 ± 1.49 / 31.94 ± 4.20 |
33.30 ± 2.01 / 51.15 ± 2.93 |
2.63 ± 2.56 / 40.21 ± 3.98 |
4.00 ± 1.87 / 44.87 ± 3.17 |
37.08 ± 2.44 / 61.14 ± 2.01 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
MaLA-LM/emma-500-llama2-7b (few-shot) |
6738 |
32 |
4096 |
True |
6,275 ± 1,193 / 1,755 ± 578 |
3.29 |
36.96 ± 3.10 / 34.68 ± 3.19 |
39.38 ± 3.30 / 37.06 ± 3.49 |
32.67 ± 2.52 / 44.37 ± 3.06 |
2.18 ± 2.36 / 38.05 ± 3.18 |
5.33 ± 2.97 / 44.30 ± 4.99 |
45.23 ± 5.03 / 67.75 ± 4.41 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
allenai/OLMo-1.7-7B-hf (few-shot) |
6888 |
50 |
4096 |
True |
3,371 ± 876 / 561 ± 184 |
3.29 |
42.78 ± 1.09 / 37.34 ± 1.81 |
42.85 ± 1.93 / 37.34 ± 3.04 |
36.68 ± 2.11 / 46.78 ± 2.71 |
2.39 ± 1.54 / 43.99 ± 3.66 |
1.91 ± 1.37 / 44.20 ± 4.28 |
39.16 ± 2.56 / 62.28 ± 2.34 |
12.10.5 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.5 |
sarnikowski/electra-small-discriminator-da-256-cased |
13 |
29 |
512 |
True |
20,340 ± 3,185 / 5,178 ± 1,700 |
3.29 |
73.15 ± 1.21 / 70.05 ± 1.16 |
66.34 ± 1.25 / 62.07 ± 1.31 |
29.97 ± 0.99 / 42.12 ± 0.47 |
40.79 ± 2.06 / 69.48 ± 1.44 |
25.08 ± 1.86 / 61.74 ± 0.81 |
1.93 ± 2.05 / 3.62 ± 3.99 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
01-ai/Yi-1.5-6B (few-shot) |
6061 |
64 |
4097 |
True |
2,867 ± 550 / 793 ± 253 |
3.31 |
46.02 ± 2.12 / 35.05 ± 2.84 |
48.72 ± 1.76 / 35.97 ± 2.78 |
27.86 ± 0.76 / 31.62 ± 0.80 |
2.41 ± 1.92 / 35.60 ± 2.65 |
2.50 ± 2.05 / 34.90 ± 1.27 |
44.70 ± 3.79 / 67.06 ± 2.85 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
danish-foundation-models/munin-7b-alpha (few-shot) |
7242 |
32 |
32768 |
True |
6,116 ± 1,049 / 1,784 ± 577 |
3.32 |
48.89 ± 3.42 / 35.46 ± 2.58 |
51.95 ± 1.59 / 36.45 ± 2.57 |
20.54 ± 6.01 / 36.30 ± 6.77 |
4.39 ± 3.94 / 35.23 ± 2.81 |
1.20 ± 1.64 / 34.54 ± 1.31 |
47.16 ± 4.15 / 70.08 ± 3.96 |
12.5.2 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking |
135 |
120 |
512 |
True |
33,753 ± 8,349 / 5,937 ± 1,946 |
3.32 |
77.81 ± 0.76 / 74.83 ± 0.79 |
72.22 ± 0.95 / 68.32 ± 1.13 |
44.59 ± 1.89 / 59.87 ± 1.84 |
8.98 ± 3.55 / 52.49 ± 2.08 |
5.72 ± 3.29 / 50.40 ± 3.21 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
3.32 |
77.81 ± 0.76 / 74.83 ± 0.79 |
72.22 ± 0.95 / 68.32 ± 1.13 |
44.59 ± 1.89 / 59.87 ± 1.84 |
8.98 ± 3.55 / 52.49 ± 2.08 |
5.72 ± 3.29 / 50.40 ± 3.21 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
AI-Sweden-Models/gpt-sw3-40b (few-shot) |
39927 |
64 |
2048 |
True |
409 ± 53 / 182 ± 54 |
3.33 |
24.07 ± 5.59 / 19.09 ± 2.55 |
26.67 ± 6.24 / 21.18 ± 2.80 |
31.05 ± 7.03 / 45.69 ± 8.29 |
10.80 ± 1.96 / 52.29 ± 2.55 |
8.89 ± 2.52 / 47.62 ± 4.31 |
48.78 ± 3.64 / 71.66 ± 3.34 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
Maltehb/danish-bert-botxo |
111 |
32 |
512 |
True |
16,091 ± 2,427 / 4,575 ± 1,485 |
3.33 |
72.62 ± 0.81 / 69.33 ± 0.93 |
58.73 ± 1.81 / 55.12 ± 1.67 |
40.65 ± 1.63 / 55.20 ± 2.63 |
29.47 ± 2.30 / 62.25 ± 1.69 |
12.95 ± 3.01 / 55.31 ± 1.87 |
0.91 ± 0.93 / 2.56 ± 2.15 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ibm-granite/granite-3.0-2b-base (few-shot) |
2534 |
49 |
4097 |
True |
10,187 ± 2,363 / 2,204 ± 737 |
3.33 |
43.00 ± 2.81 / 35.39 ± 2.28 |
45.08 ± 0.83 / 38.16 ± 1.91 |
35.36 ± 2.31 / 54.88 ± 2.08 |
2.79 ± 1.92 / 41.90 ± 4.62 |
1.95 ± 2.02 / 38.91 ± 3.27 |
37.33 ± 3.11 / 59.74 ± 2.74 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
Qwen/Qwen1.5-4B (few-shot) |
3950 |
152 |
32768 |
True |
3,248 ± 739 / 761 ± 252 |
3.34 |
32.12 ± 5.17 / 32.01 ± 2.80 |
36.86 ± 3.53 / 35.46 ± 3.07 |
36.97 ± 1.94 / 55.08 ± 2.30 |
5.27 ± 3.31 / 40.91 ± 5.24 |
1.40 ± 1.87 / 33.64 ± 0.74 |
40.00 ± 2.26 / 62.87 ± 1.60 |
12.5.2 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
Maltehb/aelaectra-danish-electra-small-cased |
14 |
32 |
128 |
True |
4,593 ± 114 / 3,034 ± 973 |
3.37 |
71.85 ± 1.11 / 68.20 ± 1.23 |
67.14 ± 1.18 / 62.61 ± 1.22 |
29.00 ± 1.28 / 41.72 ± 0.52 |
33.57 ± 2.58 / 65.22 ± 1.59 |
21.79 ± 1.60 / 60.32 ± 0.99 |
0.03 ± 0.07 / 0.05 ± 0.10 |
0.0.0 |
0.0.0 |
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 |
3.38 |
81.82 ± 0.85 / 78.30 ± 1.00 |
75.89 ± 1.11 / 72.08 ± 1.15 |
33.42 ± 1.96 / 48.63 ± 3.34 |
14.99 ± 4.11 / 52.87 ± 4.48 |
13.63 ± 4.52 / 53.34 ± 4.61 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) |
7111 |
64 |
2048 |
True |
2,383 ± 451 / 718 ± 221 |
3.40 |
24.67 ± 1.69 / 24.58 ± 1.95 |
29.03 ± 2.12 / 29.83 ± 2.15 |
34.39 ± 5.34 / 50.45 ± 6.08 |
2.42 ± 1.83 / 35.49 ± 2.63 |
5.11 ± 2.68 / 38.37 ± 3.31 |
42.52 ± 2.05 / 68.98 ± 2.23 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
dbmdz/bert-base-historic-multilingual-cased |
111 |
32 |
512 |
True |
20,047 ± 4,407 / 3,844 ± 1,259 |
3.42 |
68.63 ± 1.64 / 64.83 ± 1.55 |
67.70 ± 2.68 / 63.70 ± 2.54 |
25.68 ± 2.17 / 41.65 ± 2.77 |
6.73 ± 5.40 / 48.20 ± 3.68 |
3.35 ± 2.61 / 47.52 ± 3.20 |
22.57 ± 1.57 / 34.64 ± 1.94 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) |
8030 |
128 |
131072 |
True |
2,841 ± 509 / 865 ± 263 |
3.43 |
35.54 ± 2.35 / 35.62 ± 2.50 |
36.61 ± 1.95 / 37.38 ± 1.88 |
32.18 ± 6.27 / 50.19 ± 5.62 |
0.00 ± 0.00 / 33.25 ± 0.30 |
0.00 ± 0.00 / 32.79 ± 0.34 |
43.47 ± 3.30 / 68.45 ± 2.93 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot) |
1445 |
64 |
2048 |
True |
4,544 ± 1,000 / 1,106 ± 359 |
3.44 |
33.08 ± 2.22 / 34.51 ± 2.24 |
38.28 ± 2.63 / 40.50 ± 2.72 |
35.58 ± 2.13 / 44.49 ± 2.52 |
0.82 ± 1.46 / 34.78 ± 1.54 |
1.43 ± 1.70 / 34.19 ± 1.10 |
36.06 ± 1.76 / 58.71 ± 1.63 |
12.5.2 |
12.5.2 |
9.3.1 |
12.1.0 |
12.1.0 |
12.4.0 |
HPLT/gpt-33b-nordic-prerelease (few-shot) |
33119 |
131 |
4099 |
True |
501 ± 50 / 238 ± 69 |
3.44 |
31.38 ± 5.44 / 24.32 ± 2.75 |
37.84 ± 4.65 / 29.35 ± 4.10 |
38.88 ± 4.12 / 54.92 ± 4.66 |
3.41 ± 2.16 / 35.53 ± 2.75 |
3.11 ± 1.55 / 39.80 ± 4.20 |
30.39 ± 2.51 / 51.24 ± 2.87 |
12.9.1 |
12.10.0 |
12.9.1 |
12.10.0 |
12.10.0 |
12.10.0 |
dbmdz/bert-medium-historic-multilingual-cased |
42 |
32 |
512 |
True |
24,291 ± 4,887 / 5,096 ± 1,655 |
3.45 |
69.65 ± 1.48 / 66.15 ± 1.66 |
66.78 ± 1.28 / 62.75 ± 1.40 |
26.33 ± 1.84 / 40.67 ± 0.71 |
6.62 ± 3.40 / 48.37 ± 4.02 |
5.16 ± 3.07 / 45.99 ± 4.76 |
15.75 ± 1.30 / 27.15 ± 1.91 |
0.0.0 |
0.0.0 |
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 |
3.45 |
42.29 ± 4.36 / 31.45 ± 1.88 |
46.29 ± 3.44 / 35.99 ± 4.20 |
27.05 ± 3.33 / 45.30 ± 3.46 |
1.63 ± 2.58 / 38.29 ± 4.05 |
2.57 ± 1.78 / 40.92 ± 4.00 |
39.18 ± 2.84 / 61.85 ± 3.07 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
Maltehb/aelaectra-danish-electra-small-uncased |
14 |
32 |
128 |
True |
5,995 ± 135 / 3,839 ± 1,247 |
3.47 |
59.76 ± 3.01 / 55.95 ± 2.74 |
51.44 ± 2.28 / 48.14 ± 1.95 |
33.41 ± 1.40 / 45.12 ± 1.87 |
32.87 ± 1.49 / 65.82 ± 0.78 |
20.09 ± 1.88 / 59.27 ± 1.08 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
3.47 |
44.89 ± 2.26 / 34.93 ± 2.45 |
48.08 ± 1.68 / 34.39 ± 2.61 |
32.29 ± 1.15 / 51.91 ± 2.66 |
7.49 ± 1.65 / 47.79 ± 3.81 |
4.65 ± 1.91 / 45.75 ± 5.13 |
26.37 ± 1.51 / 47.59 ± 2.41 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
google/gemma-2-2b (few-shot) |
2614 |
256 |
8193 |
True |
5,235 ± 1,226 / 1,154 ± 366 |
3.52 |
20.47 ± 4.02 / 21.28 ± 2.58 |
24.18 ± 4.24 / 24.41 ± 3.40 |
32.61 ± 1.86 / 47.91 ± 2.11 |
3.22 ± 1.55 / 36.61 ± 2.49 |
3.91 ± 2.50 / 45.37 ± 4.56 |
41.16 ± 3.73 / 63.31 ± 3.73 |
13.0.0 |
13.0.0 |
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 |
3.52 |
41.64 ± 3.64 / 39.43 ± 3.55 |
42.37 ± 3.13 / 40.79 ± 3.10 |
33.71 ± 2.57 / 55.00 ± 1.41 |
-0.19 ± 0.77 / 33.29 ± 0.30 |
-0.01 ± 1.25 / 34.51 ± 2.09 |
30.14 ± 2.44 / 50.96 ± 3.46 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
birgermoell/roberta-swedish-scandi |
125 |
50 |
512 |
True |
15,385 ± 2,815 / 3,578 ± 1,177 |
3.53 |
72.74 ± 2.03 / 69.79 ± 2.34 |
69.74 ± 1.81 / 65.59 ± 2.06 |
29.68 ± 1.91 / 43.64 ± 2.18 |
15.83 ± 10.06 / 55.51 ± 5.25 |
8.70 ± 4.78 / 52.69 ± 2.75 |
1.04 ± 1.17 / 1.93 ± 2.12 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ibm-granite/granite-3b-code-instruct-2k (few-shot) |
3483 |
49 |
2048 |
True |
9,059 ± 1,947 / 2,201 ± 728 |
3.53 |
53.78 ± 2.43 / 49.41 ± 2.56 |
55.14 ± 1.27 / 51.07 ± 1.78 |
26.21 ± 1.63 / 43.33 ± 1.46 |
3.90 ± 1.45 / 43.86 ± 4.21 |
2.42 ± 1.39 / 41.58 ± 3.89 |
24.86 ± 1.34 / 45.77 ± 1.85 |
13.0.0 |
13.0.0 |
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 |
3.56 |
22.37 ± 5.96 / 23.75 ± 3.97 |
29.90 ± 4.44 / 26.84 ± 3.45 |
35.86 ± 3.52 / 52.28 ± 3.76 |
1.03 ± 2.07 / 36.12 ± 2.97 |
2.92 ± 1.89 / 36.47 ± 2.72 |
34.39 ± 3.15 / 54.65 ± 3.56 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
jjzha/dajobbert-base-uncased |
110 |
32 |
512 |
True |
16,243 ± 2,428 / 4,593 ± 1,484 |
3.56 |
65.95 ± 0.72 / 62.62 ± 0.66 |
55.29 ± 1.26 / 51.50 ± 1.21 |
33.31 ± 2.87 / 48.75 ± 3.38 |
20.34 ± 4.81 / 58.57 ± 2.56 |
8.07 ± 2.44 / 53.43 ± 1.32 |
0.00 ± 0.00 / 0.14 ± 0.16 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
LumiOpen/Viking-13B (few-shot) |
14030 |
131 |
4097 |
True |
840 ± 79 / 400 ± 124 |
3.59 |
26.76 ± 6.99 / 23.69 ± 3.73 |
35.38 ± 5.87 / 27.52 ± 3.45 |
29.22 ± 2.89 / 39.25 ± 1.86 |
2.58 ± 2.68 / 36.11 ± 2.42 |
2.79 ± 1.44 / 36.17 ± 1.51 |
34.41 ± 3.68 / 53.61 ± 4.28 |
12.10.5 |
12.10.4 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.4 |
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) |
7242 |
32 |
32768 |
False |
5,172 ± 813 / 1,647 ± 518 |
3.60 |
50.34 ± 3.17 / 45.09 ± 2.65 |
52.06 ± 2.41 / 46.88 ± 2.39 |
32.19 ± 2.52 / 43.19 ± 4.63 |
-0.22 ± 0.43 / 33.41 ± 0.30 |
0.00 ± 0.00 / 33.86 ± 0.33 |
20.57 ± 0.64 / 40.19 ± 1.13 |
12.5.2 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.4.0 |
utter-project/EuroLLM-1.7B-Instruct (few-shot) |
1657 |
128 |
4096 |
True |
15,009 ± 4,072 / 2,702 ± 878 |
3.60 |
31.43 ± 1.78 / 30.82 ± 2.35 |
36.92 ± 1.75 / 37.80 ± 1.67 |
30.63 ± 1.48 / 37.24 ± 1.90 |
0.98 ± 1.59 / 42.00 ± 2.28 |
1.67 ± 1.96 / 34.92 ± 1.93 |
33.24 ± 2.51 / 55.11 ± 2.82 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
ibm-granite/granite-3.0-3b-a800m-base (few-shot) |
3374 |
49 |
4096 |
True |
10,504 ± 3,028 / 1,678 ± 559 |
3.63 |
40.08 ± 2.60 / 33.17 ± 1.81 |
43.96 ± 1.65 / 32.96 ± 2.24 |
31.90 ± 1.50 / 53.03 ± 1.81 |
-0.07 ± 0.97 / 35.01 ± 1.42 |
1.27 ± 2.35 / 38.10 ± 4.51 |
23.32 ± 2.39 / 43.13 ± 3.33 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
google/gemma-2b-it (few-shot) |
2506 |
256 |
8192 |
False |
6,471 ± 1,142 / 1,961 ± 584 |
3.64 |
39.78 ± 2.67 / 31.15 ± 2.70 |
43.58 ± 2.49 / 36.60 ± 2.76 |
22.01 ± 3.00 / 40.48 ± 2.81 |
2.76 ± 1.35 / 44.34 ± 3.05 |
1.45 ± 1.35 / 39.55 ± 3.53 |
32.42 ± 1.72 / 56.65 ± 0.92 |
12.5.2 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.4.0 |
google/gemma-2b (few-shot) |
2506 |
256 |
8192 |
True |
6,087 ± 1,046 / 1,902 ± 563 |
3.67 |
15.53 ± 5.69 / 15.49 ± 5.08 |
19.78 ± 4.54 / 18.86 ± 4.22 |
32.89 ± 1.65 / 42.58 ± 3.16 |
1.18 ± 1.00 / 33.34 ± 0.26 |
0.00 ± 0.00 / 32.79 ± 0.34 |
33.33 ± 3.73 / 53.15 ± 4.42 |
12.5.2 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
sentence-transformers/distiluse-base-multilingual-cased-v2 |
135 |
120 |
512 |
True |
33,247 ± 8,123 / 6,017 ± 1,977 |
3.70 |
63.79 ± 2.11 / 67.14 ± 1.91 |
60.96 ± 1.11 / 64.65 ± 1.00 |
32.83 ± 1.48 / 43.32 ± 0.69 |
1.09 ± 1.93 / 48.72 ± 1.29 |
0.18 ± 1.93 / 47.30 ± 1.44 |
0.00 ± 0.00 / 0.00 ± 0.00 |
12.6.1 |
12.6.1 |
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 |
3.70 |
63.79 ± 2.11 / 67.14 ± 1.91 |
60.96 ± 1.11 / 64.65 ± 1.00 |
32.83 ± 1.48 / 43.32 ± 0.69 |
1.09 ± 1.93 / 48.72 ± 1.29 |
0.18 ± 1.93 / 47.30 ± 1.44 |
0.00 ± 0.00 / 0.00 ± 0.00 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
meta-llama/Llama-3.2-1B-Instruct (few-shot) |
1236 |
128 |
131073 |
False |
7,436 ± 1,846 / 1,508 ± 479 |
3.73 |
44.66 ± 0.68 / 41.13 ± 2.11 |
47.78 ± 1.22 / 44.30 ± 1.57 |
27.43 ± 1.89 / 42.83 ± 3.08 |
0.07 ± 1.51 / 34.07 ± 0.78 |
1.14 ± 1.23 / 33.17 ± 0.47 |
18.00 ± 3.56 / 39.37 ± 4.69 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
NorwAI/NorwAI-Mistral-7B-instruct (few-shot) |
7537 |
68 |
4096 |
False |
3,027 ± 503 / 903 ± 296 |
3.75 |
27.49 ± 2.13 / 24.26 ± 1.41 |
32.33 ± 2.92 / 29.29 ± 2.05 |
47.78 ± 3.12 / 64.33 ± 2.80 |
3.92 ± 1.56 / 45.78 ± 2.36 |
4.27 ± 2.44 / 42.86 ± 3.51 |
2.46 ± 0.73 / 29.01 ± 1.18 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
dbmdz/bert-mini-historic-multilingual-cased |
12 |
32 |
512 |
True |
47,122 ± 9,661 / 9,714 ± 3,152 |
3.75 |
61.55 ± 1.55 / 58.24 ± 1.47 |
59.90 ± 1.56 / 56.03 ± 1.41 |
24.59 ± 1.57 / 40.34 ± 0.99 |
3.45 ± 2.10 / 50.80 ± 1.16 |
2.72 ± 1.56 / 48.79 ± 1.92 |
3.99 ± 2.02 / 7.49 ± 3.66 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ibm-granite/granite-7b-instruct (few-shot) |
6738 |
32 |
4096 |
True |
3,136 ± 558 / 942 ± 290 |
3.75 |
37.73 ± 2.53 / 31.57 ± 3.65 |
40.07 ± 1.68 / 35.25 ± 2.70 |
21.50 ± 2.19 / 36.73 ± 3.30 |
0.86 ± 1.18 / 44.09 ± 2.96 |
2.01 ± 1.11 / 41.46 ± 3.24 |
27.03 ± 1.40 / 48.70 ± 1.69 |
13.2.0 |
13.2.0 |
13.0.0 |
13.2.0 |
13.2.0 |
13.2.0 |
AI-Sweden-Models/gpt-sw3-6.7b (few-shot) |
7111 |
64 |
2048 |
True |
2,285 ± 443 / 671 ± 205 |
3.77 |
22.35 ± 7.84 / 23.89 ± 4.74 |
21.98 ± 7.52 / 27.22 ± 4.97 |
18.23 ± 9.28 / 38.93 ± 6.44 |
1.68 ± 1.35 / 39.93 ± 2.78 |
2.49 ± 1.88 / 40.26 ± 3.23 |
41.80 ± 3.14 / 64.25 ± 3.13 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) |
471 |
64 |
2048 |
True |
5,855 ± 1,373 / 1,223 ± 391 |
3.78 |
24.38 ± 2.13 / 25.79 ± 2.29 |
31.28 ± 1.60 / 33.48 ± 1.60 |
30.88 ± 2.75 / 46.07 ± 3.07 |
-0.30 ± 1.46 / 34.93 ± 1.25 |
0.45 ± 0.57 / 33.74 ± 1.25 |
23.99 ± 1.59 / 42.69 ± 1.94 |
12.5.2 |
12.5.2 |
9.3.2 |
12.1.0 |
12.1.0 |
12.4.0 |
HPLT/gpt-13b-nordic-prerelease (few-shot) |
14030 |
131 |
4099 |
True |
3,520 ± 736 / 823 ± 273 |
3.78 |
28.94 ± 5.63 / 27.01 ± 4.91 |
33.83 ± 5.52 / 30.49 ± 4.07 |
27.32 ± 3.13 / 38.30 ± 2.19 |
1.46 ± 1.07 / 49.06 ± 1.04 |
-0.59 ± 1.36 / 45.94 ± 2.35 |
25.62 ± 4.99 / 40.88 ± 7.54 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
AI-Sweden-Models/gpt-sw3-1.3b (few-shot) |
1445 |
64 |
2048 |
True |
4,608 ± 988 / 1,115 ± 354 |
3.79 |
13.49 ± 7.98 / 14.80 ± 7.68 |
14.74 ± 8.45 / 15.09 ± 7.85 |
27.28 ± 4.39 / 49.18 ± 4.23 |
3.09 ± 0.79 / 42.87 ± 3.49 |
1.86 ± 1.90 / 38.18 ± 1.44 |
34.91 ± 2.65 / 54.30 ± 2.96 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
NbAiLab/nb-gpt-j-6B-alpaca (few-shot) |
6055 |
50 |
1024 |
False |
2,607 ± 592 / 680 ± 208 |
3.79 |
23.82 ± 4.25 / 22.08 ± 2.50 |
26.04 ± 6.38 / 24.47 ± 3.69 |
32.60 ± 1.84 / 47.47 ± 3.33 |
0.34 ± 1.43 / 44.47 ± 2.44 |
2.26 ± 2.27 / 45.41 ± 3.25 |
21.33 ± 0.98 / 42.76 ± 1.02 |
9.3.2 |
9.3.2 |
10.0.1 |
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 |
3.80 |
27.37 ± 4.07 / 27.94 ± 4.04 |
31.22 ± 3.87 / 31.39 ± 3.99 |
34.21 ± 1.63 / 47.17 ± 2.76 |
0.92 ± 1.55 / 40.71 ± 2.58 |
1.25 ± 2.30 / 43.49 ± 3.20 |
18.52 ± 2.78 / 32.10 ± 4.23 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.2 |
9.3.2 |
12.5.1 |
meta-llama/Llama-3.2-1B (few-shot) |
1236 |
128 |
131073 |
True |
7,577 ± 1,884 / 1,555 ± 492 |
3.82 |
30.54 ± 3.75 / 29.88 ± 3.25 |
31.34 ± 4.72 / 30.46 ± 4.56 |
29.50 ± 4.18 / 49.19 ± 4.59 |
-0.13 ± 1.28 / 37.46 ± 3.25 |
0.02 ± 1.75 / 39.49 ± 4.41 |
19.59 ± 5.61 / 34.02 ± 8.33 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
EuropeanParliament/EUBERT |
94 |
66 |
512 |
True |
20,070 ± 3,977 / 4,400 ± 1,435 |
3.83 |
49.92 ± 0.61 / 49.17 ± 0.71 |
44.37 ± 1.15 / 43.43 ± 1.21 |
19.81 ± 2.15 / 40.90 ± 2.60 |
8.64 ± 3.57 / 53.17 ± 1.93 |
3.11 ± 1.16 / 50.44 ± 0.73 |
15.89 ± 1.29 / 26.33 ± 2.41 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot) |
1711 |
49 |
8192 |
True |
15,971 ± 3,654 / 3,609 ± 1,197 |
3.84 |
37.60 ± 2.17 / 29.30 ± 2.43 |
38.38 ± 2.48 / 30.13 ± 2.95 |
24.05 ± 3.58 / 40.36 ± 4.22 |
3.56 ± 1.93 / 38.60 ± 3.52 |
2.61 ± 2.57 / 38.57 ± 3.89 |
13.58 ± 3.16 / 25.34 ± 5.83 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
sentence-transformers/distiluse-base-multilingual-cased-v1 |
135 |
120 |
512 |
True |
34,042 ± 8,482 / 5,951 ± 1,950 |
3.84 |
60.76 ± 1.53 / 58.35 ± 1.41 |
59.62 ± 1.19 / 55.90 ± 1.12 |
25.98 ± 1.33 / 40.58 ± 0.60 |
2.65 ± 2.08 / 48.09 ± 1.42 |
3.47 ± 1.47 / 48.98 ± 1.75 |
0.20 ± 0.09 / 0.82 ± 0.39 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
KBLab/albert-base-swedish-cased-alpha |
14 |
50 |
512 |
True |
15,925 ± 2,281 / 4,780 ± 1,554 |
3.85 |
66.97 ± 1.30 / 62.99 ± 1.05 |
63.90 ± 2.54 / 59.95 ± 2.51 |
18.85 ± 4.01 / 36.76 ± 2.79 |
5.83 ± 2.36 / 51.59 ± 1.57 |
4.02 ± 2.29 / 51.66 ± 1.21 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ibm-granite/granite-3b-code-base-2k (few-shot) |
3483 |
49 |
2048 |
True |
2,732 ± 868 / 662 ± 238 |
3.87 |
53.93 ± 3.93 / 48.95 ± 4.17 |
54.04 ± 1.83 / 49.74 ± 2.48 |
23.83 ± 3.47 / 45.39 ± 3.46 |
3.91 ± 1.46 / 42.54 ± 4.53 |
1.55 ± 2.39 / 40.63 ± 4.26 |
2.37 ± 0.20 / 12.14 ± 1.07 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
ibm-granite/granite-7b-base (few-shot) |
6738 |
32 |
2048 |
True |
4,405 ± 1,098 / 1,032 ± 345 |
3.87 |
32.21 ± 1.63 / 31.19 ± 1.29 |
36.62 ± 1.94 / 36.40 ± 2.17 |
16.98 ± 3.42 / 27.01 ± 3.17 |
1.57 ± 1.20 / 41.68 ± 4.20 |
0.97 ± 1.79 / 40.10 ± 4.50 |
26.28 ± 1.51 / 44.62 ± 2.11 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
norallm/normistral-7b-scratch (few-shot) |
7248 |
33 |
2048 |
True |
3,192 ± 454 / 1,198 ± 357 |
3.87 |
14.58 ± 6.07 / 15.44 ± 5.52 |
21.06 ± 7.77 / 21.99 ± 7.14 |
32.02 ± 1.59 / 36.85 ± 2.01 |
1.49 ± 1.40 / 35.35 ± 1.51 |
0.98 ± 1.85 / 35.28 ± 2.43 |
22.87 ± 1.85 / 38.93 ± 2.59 |
10.0.0 |
10.0.0 |
10.0.0 |
10.0.0 |
10.0.0 |
10.0.0 |
mhenrichsen/danskgpt-tiny-chat (few-shot) |
1100 |
32 |
2048 |
False |
1,745 ± 978 / 686 ± 159 |
3.91 |
28.74 ± 4.18 / 28.29 ± 4.37 |
30.34 ± 6.08 / 30.02 ± 6.42 |
27.49 ± 3.13 / 48.00 ± 3.89 |
-2.17 ± 1.06 / 33.52 ± 0.37 |
0.26 ± 1.08 / 34.12 ± 0.45 |
19.10 ± 2.33 / 38.96 ± 2.78 |
9.1.2 |
9.1.2 |
9.1.2 |
9.1.2 |
9.1.2 |
12.4.0 |
state-spaces/mamba-2.8b-hf (few-shot) |
2768 |
50 |
32769 |
True |
2,722 ± 495 / 766 ± 250 |
3.94 |
26.90 ± 1.65 / 24.65 ± 2.00 |
34.59 ± 3.22 / 33.15 ± 3.49 |
31.06 ± 2.28 / 45.42 ± 3.29 |
0.21 ± 1.21 / 36.38 ± 2.87 |
-0.17 ± 2.08 / 40.22 ± 3.88 |
10.35 ± 0.92 / 22.83 ± 1.06 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
HPLT/gpt-7b-nordic-prerelease (few-shot) |
7550 |
131 |
4096 |
True |
5,404 ± 931 / 1,638 ± 542 |
4.00 |
20.25 ± 6.26 / 20.45 ± 5.54 |
28.99 ± 5.03 / 27.50 ± 4.36 |
17.44 ± 3.49 / 35.51 ± 4.10 |
3.20 ± 1.84 / 34.58 ± 0.97 |
2.61 ± 1.80 / 34.49 ± 1.46 |
21.50 ± 2.60 / 40.73 ± 3.86 |
12.5.2 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
alexanderfalk/danbert-small-cased |
83 |
52 |
512 |
True |
30,013 ± 4,309 / 8,840 ± 2,859 |
4.02 |
42.18 ± 1.03 / 39.53 ± 1.04 |
37.39 ± 1.81 / 34.88 ± 1.76 |
24.39 ± 1.60 / 40.44 ± 1.78 |
7.29 ± 2.49 / 49.37 ± 3.58 |
2.57 ± 1.78 / 46.00 ± 3.32 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
4.03 |
26.70 ± 4.42 / 24.56 ± 2.10 |
28.23 ± 3.78 / 28.27 ± 2.80 |
23.25 ± 4.16 / 36.07 ± 4.20 |
-0.47 ± 1.05 / 33.93 ± 0.92 |
0.26 ± 0.74 / 33.32 ± 0.79 |
13.40 ± 2.83 / 26.51 ± 4.94 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
jannesg/bertsson |
124 |
50 |
512 |
True |
15,314 ± 2,786 / 3,666 ± 1,201 |
4.03 |
49.30 ± 0.97 / 46.11 ± 1.04 |
46.11 ± 2.15 / 43.01 ± 2.05 |
23.21 ± 2.32 / 44.26 ± 2.95 |
2.26 ± 1.47 / 45.07 ± 4.04 |
-0.66 ± 1.81 / 44.50 ± 3.45 |
0.68 ± 0.32 / 1.50 ± 0.80 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
3ebdola/Dialectal-Arabic-XLM-R-Base |
278 |
250 |
512 |
True |
12,783 ± 2,537 / 2,712 ± 885 |
4.06 |
55.55 ± 3.71 / 52.52 ± 3.51 |
53.53 ± 3.03 / 50.23 ± 3.00 |
12.69 ± 4.51 / 32.23 ± 3.53 |
2.79 ± 1.16 / 47.71 ± 2.00 |
1.66 ± 2.18 / 46.60 ± 2.87 |
0.00 ± 0.00 / 0.60 ± 0.72 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
Qwen/Qwen1.5-1.8B-Chat (few-shot) |
1837 |
152 |
32768 |
False |
8,304 ± 1,846 / 1,933 ± 617 |
4.10 |
26.99 ± 3.92 / 24.61 ± 2.74 |
25.74 ± 3.76 / 24.51 ± 2.96 |
19.85 ± 1.97 / 35.75 ± 1.74 |
1.96 ± 1.33 / 44.22 ± 2.93 |
-0.01 ± 1.39 / 39.57 ± 2.97 |
16.33 ± 2.17 / 31.16 ± 3.40 |
12.5.2 |
12.5.2 |
11.0.0 |
12.1.0 |
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 |
4.10 |
36.99 ± 2.08 / 28.69 ± 2.20 |
37.27 ± 1.09 / 27.84 ± 2.23 |
19.55 ± 3.00 / 40.67 ± 3.28 |
1.95 ± 1.15 / 43.75 ± 3.47 |
2.31 ± 0.84 / 46.79 ± 2.89 |
7.33 ± 1.88 / 19.74 ± 2.82 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
dbmdz/bert-tiny-historic-multilingual-cased |
5 |
32 |
512 |
True |
78,027 ± 15,466 / 17,064 ± 5,335 |
4.14 |
46.11 ± 3.68 / 43.54 ± 3.44 |
35.18 ± 4.90 / 33.22 ± 4.64 |
19.19 ± 2.87 / 37.36 ± 1.97 |
2.76 ± 1.42 / 50.99 ± 0.83 |
0.42 ± 1.04 / 49.39 ± 0.80 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
ibm-granite/granite-3.0-1b-a400m-base (few-shot) |
1385 |
49 |
4096 |
True |
7,808 ± 2,183 / 1,289 ± 428 |
4.15 |
31.16 ± 1.45 / 30.20 ± 1.07 |
29.73 ± 2.46 / 28.89 ± 2.68 |
17.59 ± 2.80 / 35.34 ± 4.36 |
1.07 ± 1.90 / 44.05 ± 3.72 |
1.59 ± 1.56 / 41.39 ± 3.86 |
6.92 ± 0.87 / 14.48 ± 2.08 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
Qwen/Qwen1.5-1.8B (few-shot) |
1837 |
152 |
32768 |
True |
5,666 ± 1,328 / 1,256 ± 408 |
4.16 |
12.10 ± 5.58 / 12.85 ± 4.80 |
13.42 ± 6.02 / 13.82 ± 5.16 |
22.82 ± 3.11 / 43.88 ± 3.10 |
2.70 ± 2.16 / 47.68 ± 3.18 |
2.21 ± 1.46 / 42.80 ± 4.36 |
16.31 ± 2.22 / 30.78 ± 3.64 |
12.5.2 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
10,890 ± 2,686 / 2,186 ± 750 |
4.16 |
21.04 ± 2.63 / 20.44 ± 2.47 |
18.71 ± 2.67 / 19.91 ± 2.89 |
12.22 ± 1.17 / 23.50 ± 3.03 |
-1.18 ± 1.40 / 35.70 ± 2.67 |
0.36 ± 1.28 / 37.66 ± 4.07 |
26.86 ± 1.65 / 50.11 ± 1.80 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
allenai/OLMo-7B (few-shot) |
6888 |
50 |
2051 |
True |
5,403 ± 1,133 / 1,294 ± 423 |
4.16 |
34.42 ± 3.22 / 27.79 ± 2.40 |
35.17 ± 4.05 / 30.70 ± 3.37 |
21.46 ± 5.63 / 38.36 ± 6.18 |
0.34 ± 1.25 / 33.60 ± 0.50 |
0.26 ± 0.58 / 34.69 ± 3.11 |
0.12 ± 0.04 / 9.85 ± 0.17 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
mhenrichsen/danskgpt-tiny (few-shot) |
1100 |
32 |
2048 |
True |
8,597 ± 1,983 / 1,926 ± 600 |
4.22 |
27.37 ± 6.89 / 27.19 ± 7.19 |
27.59 ± 6.34 / 28.03 ± 6.94 |
18.09 ± 6.14 / 31.83 ± 6.77 |
-0.19 ± 1.93 / 41.38 ± 3.18 |
-0.80 ± 0.89 / 40.66 ± 3.78 |
5.84 ± 1.36 / 16.14 ± 2.48 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
allenai/OLMo-7B-Twin-2T (few-shot) |
6888 |
50 |
2051 |
True |
5,484 ± 1,125 / 1,317 ± 425 |
4.31 |
9.06 ± 6.86 / 8.39 ± 6.41 |
17.16 ± 6.21 / 16.00 ± 5.94 |
25.52 ± 3.72 / 41.44 ± 4.44 |
0.68 ± 1.54 / 45.09 ± 2.63 |
0.17 ± 2.27 / 42.02 ± 4.30 |
0.46 ± 0.07 / 6.96 ± 0.13 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
Qwen/Qwen1.5-0.5B-Chat (few-shot) |
620 |
152 |
32768 |
False |
11,740 ± 3,000 / 2,209 ± 721 |
4.32 |
29.52 ± 1.48 / 29.79 ± 1.62 |
31.27 ± 1.30 / 31.91 ± 1.31 |
11.49 ± 1.38 / 27.12 ± 1.98 |
0.29 ± 1.58 / 40.21 ± 4.22 |
-0.12 ± 1.48 / 39.92 ± 3.90 |
7.80 ± 1.19 / 17.09 ± 2.72 |
12.5.2 |
12.5.2 |
11.0.0 |
12.1.0 |
12.1.0 |
12.4.0 |
RabotaRu/HRBert-mini |
80 |
200 |
512 |
True |
54,951 ± 11,500 / 11,401 ± 3,819 |
4.32 |
31.87 ± 2.26 / 30.31 ± 2.14 |
32.47 ± 1.48 / 30.59 ± 1.43 |
15.07 ± 1.97 / 35.80 ± 1.15 |
1.26 ± 1.26 / 48.42 ± 1.75 |
0.49 ± 1.58 / 45.93 ± 3.88 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
4.36 |
34.46 ± 2.01 / 33.09 ± 2.32 |
33.41 ± 2.21 / 33.91 ± 2.33 |
6.31 ± 3.46 / 20.67 ± 2.69 |
-1.59 ± 1.08 / 36.27 ± 3.71 |
0.61 ± 1.41 / 38.84 ± 5.10 |
5.95 ± 1.53 / 16.20 ± 1.93 |
12.5.2 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
fresh-xlm-roberta-base |
278 |
250 |
512 |
True |
2,214 ± 94 / 1,494 ± 229 |
4.38 |
25.49 ± 3.39 / 23.54 ± 3.23 |
25.94 ± 1.70 / 24.10 ± 1.64 |
12.60 ± 2.97 / 32.27 ± 3.43 |
0.50 ± 1.27 / 36.93 ± 4.00 |
1.83 ± 1.64 / 37.67 ± 4.40 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
4.39 |
27.66 ± 2.00 / 28.61 ± 2.15 |
30.88 ± 2.13 / 31.97 ± 2.10 |
5.13 ± 3.33 / 20.41 ± 3.12 |
0.00 ± 0.00 / 33.25 ± 0.30 |
0.00 ± 0.00 / 32.79 ± 0.34 |
7.55 ± 1.17 / 15.63 ± 2.64 |
11.0.0 |
11.0.0 |
9.3.2 |
11.0.0 |
11.0.0 |
12.4.0 |
allenai/OLMo-1B (few-shot) |
1177 |
50 |
2051 |
True |
8,536 ± 1,926 / 1,940 ± 619 |
4.39 |
30.79 ± 1.95 / 32.18 ± 1.98 |
31.12 ± 2.36 / 33.10 ± 2.68 |
9.95 ± 3.92 / 29.01 ± 2.80 |
-0.95 ± 1.87 / 39.37 ± 3.33 |
-0.04 ± 1.73 / 42.36 ± 4.61 |
0.00 ± 0.00 / 3.06 ± 0.05 |
12.5.2 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
NbAiLab/nb-gpt-j-6B-v2 (few-shot) |
6051 |
50 |
1024 |
False |
2,556 ± 580 / 681 ± 214 |
4.42 |
5.29 ± 4.68 / 4.93 ± 4.38 |
6.77 ± 6.18 / 6.78 ± 5.66 |
20.84 ± 6.06 / 35.78 ± 5.94 |
0.45 ± 1.09 / 34.65 ± 1.93 |
0.48 ± 0.66 / 32.86 ± 0.34 |
2.43 ± 0.61 / 22.78 ± 2.29 |
9.3.1 |
9.3.1 |
10.0.1 |
11.0.0 |
11.0.0 |
12.5.1 |
fresh-electra-small |
14 |
31 |
512 |
True |
7,840 ± 1,538 / 3,024 ± 438 |
4.42 |
18.38 ± 2.01 / 17.08 ± 1.97 |
12.76 ± 1.29 / 11.65 ± 1.21 |
15.29 ± 5.37 / 34.15 ± 4.23 |
0.17 ± 0.84 / 36.29 ± 2.91 |
0.37 ± 0.69 / 35.08 ± 2.81 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.0.0 |
0.0.0 |
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 |
4.46 |
26.60 ± 1.99 / 23.60 ± 2.05 |
23.70 ± 1.58 / 23.04 ± 2.17 |
6.21 ± 2.55 / 23.74 ± 3.28 |
-0.39 ± 0.76 / 33.40 ± 0.31 |
0.21 ± 0.41 / 35.33 ± 3.02 |
4.65 ± 1.00 / 10.23 ± 1.68 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
HuggingFaceTB/SmolLM2-135M (few-shot) |
135 |
49 |
8192 |
True |
26,346 ± 7,812 / 4,082 ± 1,372 |
4.47 |
24.37 ± 2.17 / 26.91 ± 2.28 |
24.69 ± 1.85 / 27.60 ± 2.48 |
8.84 ± 4.19 / 29.74 ± 3.45 |
-1.20 ± 1.10 / 36.09 ± 3.06 |
-0.50 ± 1.21 / 36.68 ± 3.16 |
0.16 ± 0.13 / 2.31 ± 0.44 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) |
362 |
49 |
8192 |
True |
21,777 ± 6,115 / 3,617 ± 1,211 |
4.48 |
20.37 ± 5.55 / 21.57 ± 3.57 |
21.27 ± 5.10 / 22.34 ± 4.41 |
7.60 ± 2.24 / 26.47 ± 2.89 |
1.31 ± 1.92 / 45.75 ± 3.36 |
0.51 ± 1.81 / 38.71 ± 2.95 |
4.80 ± 1.18 / 10.53 ± 2.12 |
13.1.0 |
13.1.0 |
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 |
4.55 |
0.22 ± 0.21 / 1.66 ± 1.38 |
0.24 ± 0.40 / 1.43 ± 1.97 |
20.64 ± 5.63 / 36.75 ± 3.29 |
-0.99 ± 0.88 / 33.37 ± 0.27 |
-0.15 ± 0.72 / 32.83 ± 0.34 |
0.53 ± 0.31 / 22.14 ± 2.25 |
9.3.1 |
9.3.1 |
10.0.1 |
10.0.1 |
10.0.1 |
12.5.1 |
NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) |
7537 |
68 |
4096 |
True |
3,024 ± 496 / 909 ± 301 |
4.56 |
12.77 ± 3.48 / 14.13 ± 3.09 |
10.51 ± 3.44 / 9.95 ± 3.51 |
8.70 ± 4.43 / 25.39 ± 3.30 |
0.00 ± 1.60 / 38.54 ± 3.41 |
0.82 ± 1.39 / 37.77 ± 4.45 |
1.85 ± 0.82 / 10.19 ± 1.99 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) |
135 |
49 |
8192 |
True |
25,602 ± 7,583 / 3,953 ± 1,325 |
4.65 |
20.89 ± 2.55 / 22.28 ± 2.32 |
19.62 ± 1.91 / 21.82 ± 2.35 |
2.78 ± 4.25 / 26.17 ± 3.37 |
-0.98 ± 1.80 / 40.63 ± 4.03 |
0.93 ± 2.26 / 40.91 ± 4.95 |
0.15 ± 0.13 / 2.19 ± 0.57 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
AI-Sweden-Models/gpt-sw3-126m (few-shot) |
186 |
64 |
2048 |
True |
8,958 ± 1,815 / 2,240 ± 696 |
4.66 |
13.55 ± 6.73 / 15.90 ± 5.66 |
9.38 ± 4.88 / 11.18 ± 4.52 |
7.78 ± 3.76 / 21.70 ± 5.02 |
-1.46 ± 1.07 / 43.30 ± 2.30 |
-2.97 ± 1.29 / 44.41 ± 3.18 |
2.32 ± 0.68 / 6.65 ± 1.90 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
ai-forever/mGPT (few-shot) |
unknown |
100 |
1024 |
True |
11,734 ± 3,124 / 2,174 ± 720 |
4.79 |
0.08 ± 0.16 / 0.07 ± 0.14 |
0.00 ± 0.00 / 0.00 ± 0.00 |
4.76 ± 1.84 / 16.95 ± 5.07 |
0.67 ± 1.94 / 40.42 ± 4.43 |
-0.88 ± 1.89 / 40.70 ± 4.30 |
0.00 ± 0.00 / 0.74 ± 0.05 |
9.3.1 |
9.3.1 |
10.0.1 |
11.0.0 |
11.0.0 |
12.5.1 |
NorGLM/NorGPT-369M (few-shot) |
unknown |
64 |
1024 |
True |
19,896 ± 5,099 / 3,848 ± 1,251 |
4.82 |
3.14 ± 2.12 / 2.91 ± 2.02 |
3.00 ± 1.58 / 2.65 ± 1.41 |
3.41 ± 2.11 / 14.87 ± 2.38 |
0.22 ± 0.42 / 33.42 ± 0.29 |
0.27 ± 0.79 / 38.20 ± 3.48 |
0.00 ± 0.00 / 2.27 ± 0.89 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
RJuro/kanelsnegl-v0.2 (few-shot) |
7242 |
32 |
512 |
True |
1,373 ± 120 / 709 ± 172 |
4.87 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 0.00 ± 0.00 |
1.27 ± 1.21 / 9.77 ± 0.51 |
0.00 ± 0.00 / 33.25 ± 0.30 |
0.00 ± 0.00 / 32.79 ± 0.34 |
0.00 ± 0.00 / 32.25 ± 0.29 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
RJuro/kanelsnegl-v0.1 (few-shot) |
7242 |
32 |
512 |
True |
5,847 ± 1,029 / 1,640 ± 525 |
4.91 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.95 ± 0.80 / 9.68 ± 0.28 |
0.00 ± 0.00 / 33.25 ± 0.30 |
0.00 ± 0.00 / 32.79 ± 0.34 |
0.00 ± 0.00 / 33.45 ± 0.27 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
Sigurdur/icebreaker (few-shot) |
110 |
32 |
1024 |
False |
48,619 ± 7,681 / 13,831 ± 4,404 |
4.91 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 9.59 ± 0.29 |
0.00 ± 0.00 / 33.25 ± 0.30 |
0.00 ± 0.00 / 32.79 ± 0.34 |
0.00 ± 0.00 / 0.47 ± 0.03 |
12.7.0 |
12.7.0 |
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 |
4.91 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 0.00 ± 0.00 |
1.00 ± 1.27 / 13.84 ± 2.10 |
0.00 ± 0.00 / 33.25 ± 0.30 |
0.00 ± 0.00 / 32.79 ± 0.34 |
0.00 ± 0.00 / 0.53 ± 0.06 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
ssmits/Falcon2-5.5B-multilingual (few-shot) |
5465 |
65 |
8192 |
True |
7,692 ± 1,423 / 1,960 ± 644 |
4.91 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 9.59 ± 0.29 |
0.00 ± 0.00 / 33.25 ± 0.30 |
0.00 ± 0.00 / 32.79 ± 0.34 |
0.00 ± 0.00 / 0.09 ± 0.03 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
peter-sk/gpt-neox-da (few-shot) |
1515 |
50 |
1024 |
True |
6,025 ± 1,442 / 1,342 ± 431 |
4.94 |
0.29 ± 0.29 / 0.29 ± 0.27 |
0.25 ± 0.17 / 0.27 ± 0.21 |
-1.43 ± 1.45 / 20.90 ± 4.96 |
-0.42 ± 1.10 / 35.77 ± 3.09 |
1.11 ± 2.21 / 39.28 ± 4.12 |
0.00 ± 0.00 / 3.15 ± 0.55 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |