| gpt-4-0613 (few-shot, val) |
unknown |
100 |
8191 |
True |
597 ± 197 / 93 ± 33 |
1.19 |
76.86 ± 1.89 / 54.97 ± 4.44 |
79.19 ± 1.87 / 80.56 ± 1.82 |
80.93 ± 1.67 / 89.90 ± 0.93 |
53.81 ± 1.28 / 65.15 ± 1.11 |
67.83 ± 0.15 / 22.67 ± 0.39 |
72.53 ± 1.82 / 79.26 ± 1.44 |
85.67 ± 2.59 / 89.14 ± 2.05 |
0.0.0 |
0.0.0 |
0.0.0 |
12.9.0 |
9.3.2 |
9.3.2 |
9.3.2 |
| gpt-4o-2024-05-13 (few-shot, val) |
unknown |
200 |
128000 |
True |
916 ± 329 / 114 ± 38 |
1.27 |
76.66 ± 2.11 / 60.34 ± 4.71 |
77.16 ± 2.65 / 79.22 ± 2.36 |
68.99 ± 4.33 / 83.37 ± 2.61 |
57.96 ± 1.35 / 67.71 ± 0.96 |
66.00 ± 0.29 / 16.97 ± 0.45 |
70.70 ± 1.32 / 77.97 ± 0.99 |
86.30 ± 2.23 / 89.65 ± 1.68 |
12.10.0 |
12.10.2 |
12.10.2 |
12.10.0 |
12.10.0 |
12.10.2 |
12.10.2 |
| gpt-4-1106-preview (few-shot, val) |
unknown |
100 |
128000 |
True |
576 ± 221 / 81 ± 28 |
1.29 |
74.45 ± 3.09 / 49.97 ± 4.23 |
77.59 ± 1.38 / 78.78 ± 1.69 |
71.35 ± 3.10 / 83.98 ± 2.23 |
56.56 ± 1.39 / 66.76 ± 1.10 |
66.08 ± 0.14 / 17.19 ± 0.38 |
71.32 ± 1.56 / 78.48 ± 1.15 |
84.09 ± 2.99 / 88.01 ± 2.26 |
12.10.0 |
12.10.2 |
12.10.2 |
12.10.0 |
12.10.0 |
12.10.2 |
12.10.2 |
| AI-Sweden-Models/Llama-3-8B-instruct (few-shot) |
8030 |
128 |
8192 |
False |
4,314 ± 1,202 / 776 ± 245 |
1.42 |
88.78 ± 1.05 / 85.30 ± 1.16 |
81.73 ± 0.71 / 80.87 ± 0.96 |
75.83 ± 0.49 / 87.67 ± 0.30 |
61.35 ± 0.70 / 65.90 ± 0.55 |
66.96 ± 0.09 / 23.17 ± 0.18 |
41.07 ± 0.83 / 55.49 ± 0.64 |
75.73 ± 0.72 / 81.68 ± 0.55 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
| meta-llama/Meta-Llama-3-70B (few-shot, val) |
70554 |
128 |
8192 |
True |
312 ± 55 / 177 ± 51 |
1.48 |
74.61 ± 2.99 / 56.50 ± 6.30 |
78.61 ± 1.40 / 78.64 ± 1.53 |
63.20 ± 3.34 / 80.61 ± 2.52 |
61.98 ± 1.65 / 66.85 ± 1.42 |
67.60 ± 0.41 / 22.47 ± 0.82 |
61.55 ± 1.68 / 71.02 ± 1.21 |
66.21 ± 3.22 / 73.40 ± 2.77 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| google/gemma-2-27b-it (few-shot) |
27227 |
256 |
8193 |
True |
1,516 ± 257 / 480 ± 148 |
1.66 |
62.59 ± 2.04 / 45.11 ± 4.50 |
80.73 ± 0.52 / 81.25 ± 0.57 |
61.37 ± 2.06 / 79.34 ± 1.59 |
58.76 ± 1.03 / 66.73 ± 0.59 |
65.54 ± 0.91 / 19.89 ± 0.36 |
58.15 ± 1.11 / 68.33 ± 0.83 |
68.94 ± 1.51 / 76.41 ± 1.17 |
13.0.0 |
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 |
1.82 |
52.50 ± 1.02 / 37.38 ± 2.57 |
78.51 ± 0.93 / 76.24 ± 1.64 |
61.28 ± 1.63 / 80.07 ± 1.22 |
55.22 ± 1.03 / 64.60 ± 0.52 |
66.30 ± 0.12 / 19.72 ± 0.19 |
51.58 ± 0.83 / 63.27 ± 0.62 |
66.61 ± 1.12 / 74.72 ± 0.93 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| 152334H/miqu-1-70b-sf (few-shot, val) |
68977 |
32 |
32764 |
True |
2,126 ± 676 / 319 ± 104 |
1.86 |
62.96 ± 3.44 / 52.14 ± 4.04 |
75.25 ± 2.41 / 78.80 ± 1.96 |
53.28 ± 3.33 / 75.37 ± 1.80 |
56.42 ± 1.65 / 65.04 ± 1.17 |
67.60 ± 0.30 / 21.60 ± 0.76 |
53.56 ± 2.20 / 64.88 ± 1.66 |
59.70 ± 4.69 / 69.38 ± 3.70 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) |
70554 |
128 |
8192 |
True |
1,673 ± 583 / 275 ± 85 |
1.90 |
77.06 ± 2.72 / 67.75 ± 5.69 |
53.56 ± 7.15 / 67.07 ± 3.93 |
47.50 ± 3.37 / 71.31 ± 2.69 |
46.86 ± 1.77 / 60.96 ± 1.04 |
68.25 ± 0.18 / 22.84 ± 0.44 |
61.31 ± 2.07 / 70.78 ± 1.60 |
66.73 ± 2.34 / 74.65 ± 1.78 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| gpt-3.5-turbo-0613 (few-shot, val) |
unknown |
100 |
4095 |
True |
921 ± 293 / 113 ± 37 |
1.93 |
73.04 ± 2.74 / 61.64 ± 3.63 |
72.77 ± 2.64 / 72.56 ± 2.45 |
58.06 ± 3.84 / 76.06 ± 2.51 |
58.02 ± 2.11 / 66.84 ± 1.38 |
66.92 ± 0.16 / 19.00 ± 0.28 |
40.73 ± 3.36 / 55.16 ± 2.75 |
50.51 ± 2.33 / 62.07 ± 1.95 |
0.0.0 |
0.0.0 |
0.0.0 |
12.9.0 |
11.0.0 |
0.0.0 |
0.0.0 |
| meta-llama/Llama-2-70b-hf (few-shot, val) |
68977 |
32 |
4096 |
True |
1,892 ± 650 / 318 ± 105 |
1.93 |
64.76 ± 3.91 / 61.08 ± 5.41 |
75.46 ± 1.99 / 74.35 ± 3.70 |
43.27 ± 5.03 / 65.62 ± 4.94 |
63.04 ± 1.52 / 66.95 ± 1.31 |
68.43 ± 0.33 / 24.92 ± 0.74 |
46.16 ± 2.67 / 59.53 ± 2.04 |
50.41 ± 5.18 / 62.34 ± 3.86 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| four-two-labs/lynx-micro (few-shot) |
2506 |
256 |
8192 |
False |
10,162 ± 2,661 / 1,878 ± 623 |
1.95 |
83.64 ± 1.90 / 81.69 ± 1.52 |
78.57 ± 0.78 / 78.35 ± 0.90 |
66.83 ± 0.98 / 83.20 ± 0.51 |
58.84 ± 0.54 / 62.97 ± 0.52 |
64.40 ± 0.05 / 18.09 ± 0.11 |
20.47 ± 0.72 / 40.39 ± 0.55 |
49.92 ± 0.92 / 62.45 ± 0.69 |
12.10.2 |
12.10.2 |
12.10.2 |
12.10.2 |
12.10.2 |
12.10.2 |
12.10.2 |
| google/gemma-2-9b (few-shot) |
9242 |
256 |
8193 |
True |
2,038 ± 406 / 566 ± 172 |
1.99 |
50.43 ± 3.97 / 27.20 ± 3.14 |
80.55 ± 1.46 / 77.22 ± 3.78 |
50.86 ± 3.91 / 72.14 ± 3.98 |
59.35 ± 1.16 / 65.35 ± 0.87 |
65.63 ± 0.26 / 19.75 ± 0.45 |
52.06 ± 0.97 / 63.92 ± 0.72 |
49.80 ± 3.86 / 60.88 ± 3.42 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| gpt-4o-mini-2024-07-18 (few-shot) |
unknown |
200 |
128000 |
True |
1,171 ± 378 / 120 ± 39 |
2.10 |
67.38 ± 1.52 / 52.86 ± 4.83 |
65.51 ± 4.81 / 67.01 ± 3.84 |
29.41 ± 10.34 / 52.38 ± 8.76 |
55.67 ± 0.89 / 66.26 ± 0.48 |
65.70 ± 0.71 / 16.98 ± 0.75 |
50.06 ± 2.65 / 61.33 ± 2.36 |
64.58 ± 2.48 / 72.57 ± 2.06 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
12.11.0 |
| timpal0l/sol (few-shot) |
10732 |
32 |
4096 |
False |
3,701 ± 876 / 771 ± 247 |
2.15 |
57.51 ± 2.30 / 37.74 ± 3.15 |
77.31 ± 1.01 / 70.55 ± 2.26 |
25.06 ± 5.02 / 49.04 ± 4.68 |
60.16 ± 1.77 / 67.43 ± 1.02 |
65.22 ± 0.19 / 18.86 ± 0.30 |
39.52 ± 0.58 / 54.47 ± 0.38 |
70.93 ± 1.29 / 78.03 ± 1.01 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| upstage/SOLAR-10.7B-v1.0 (few-shot) |
10732 |
32 |
4096 |
True |
3,780 ± 906 / 799 ± 261 |
2.19 |
59.65 ± 2.22 / 39.33 ± 3.33 |
77.48 ± 1.23 / 70.13 ± 2.81 |
16.94 ± 2.36 / 40.98 ± 1.82 |
62.65 ± 0.56 / 68.15 ± 0.56 |
65.19 ± 0.36 / 19.09 ± 0.55 |
39.82 ± 0.69 / 54.84 ± 0.53 |
68.87 ± 1.35 / 76.46 ± 1.04 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
| mistralai/Ministral-8B-Instruct-2410 (few-shot) |
8020 |
131 |
32768 |
True |
5,821 ± 1,090 / 1,561 ± 506 |
2.22 |
67.49 ± 2.20 / 51.10 ± 4.76 |
76.74 ± 1.27 / 75.66 ± 1.17 |
22.37 ± 3.11 / 54.47 ± 4.95 |
57.15 ± 0.72 / 64.47 ± 0.58 |
65.37 ± 0.39 / 19.85 ± 0.39 |
37.50 ± 0.73 / 52.72 ± 0.63 |
55.01 ± 2.40 / 65.64 ± 2.12 |
13.0.0 |
13.0.0 |
13.0.0 |
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 |
2.24 |
62.86 ± 1.95 / 36.42 ± 3.49 |
70.54 ± 6.38 / 73.39 ± 6.37 |
37.50 ± 2.48 / 66.32 ± 1.77 |
58.00 ± 0.85 / 65.98 ± 0.82 |
65.93 ± 0.19 / 19.24 ± 0.33 |
40.58 ± 1.17 / 55.16 ± 0.88 |
42.99 ± 2.04 / 56.16 ± 1.93 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| Nexusflow/Starling-LM-7B-beta (few-shot) |
7242 |
32 |
8192 |
False |
5,876 ± 1,021 / 1,677 ± 546 |
2.29 |
60.38 ± 1.60 / 36.17 ± 3.66 |
77.49 ± 0.98 / 72.07 ± 1.56 |
29.32 ± 2.34 / 54.43 ± 2.67 |
56.79 ± 0.83 / 65.84 ± 0.48 |
65.75 ± 0.16 / 20.23 ± 0.23 |
36.05 ± 1.10 / 51.86 ± 0.87 |
51.15 ± 1.71 / 63.20 ± 1.32 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| meta-llama/Llama-3.1-8B (few-shot) |
8030 |
128 |
131073 |
True |
2,439 ± 459 / 703 ± 219 |
2.32 |
63.85 ± 2.49 / 44.62 ± 4.10 |
79.96 ± 0.93 / 75.75 ± 2.22 |
31.70 ± 4.07 / 59.28 ± 5.00 |
59.33 ± 0.88 / 65.24 ± 0.79 |
65.07 ± 0.28 / 18.94 ± 0.35 |
37.48 ± 0.64 / 52.46 ± 0.52 |
31.27 ± 1.39 / 47.97 ± 1.30 |
12.11.0 |
12.11.0 |
12.11.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| skole-gpt-mixtral (few-shot) |
unknown |
32 |
32768 |
False |
3,583 ± 977 / 686 ± 231 |
2.35 |
54.14 ± 2.49 / 37.43 ± 3.05 |
78.27 ± 1.32 / 77.65 ± 1.28 |
32.49 ± 1.94 / 64.28 ± 2.18 |
58.95 ± 0.96 / 66.56 ± 0.62 |
65.86 ± 0.29 / 19.67 ± 0.58 |
43.62 ± 0.82 / 57.61 ± 0.65 |
28.84 ± 2.65 / 45.75 ± 2.13 |
13.0.0 |
13.0.0 |
13.0.0 |
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 |
2.37 |
65.33 ± 2.38 / 46.88 ± 3.97 |
74.99 ± 3.45 / 76.76 ± 1.80 |
32.65 ± 5.08 / 61.25 ± 4.41 |
55.71 ± 1.34 / 64.54 ± 1.00 |
66.53 ± 0.29 / 19.24 ± 0.57 |
33.16 ± 2.11 / 49.26 ± 1.55 |
32.51 ± 2.97 / 48.24 ± 2.10 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| meta-llama/Llama-3.1-8B-Instruct (few-shot) |
8030 |
128 |
131073 |
True |
2,411 ± 465 / 686 ± 215 |
2.38 |
71.52 ± 1.43 / 59.28 ± 3.63 |
80.46 ± 0.83 / 78.67 ± 1.13 |
12.29 ± 3.59 / 40.53 ± 4.13 |
53.54 ± 1.52 / 62.08 ± 0.98 |
66.27 ± 0.15 / 19.05 ± 0.30 |
39.40 ± 1.44 / 53.87 ± 1.19 |
38.88 ± 1.25 / 53.72 ± 0.91 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| timpal0l/BeagleCatMunin (few-shot, val) |
7242 |
32 |
32768 |
False |
2,495 ± 458 / 775 ± 244 |
2.39 |
50.53 ± 3.30 / 37.77 ± 4.38 |
77.37 ± 2.25 / 78.66 ± 2.43 |
27.84 ± 4.72 / 49.46 ± 4.52 |
59.98 ± 1.65 / 65.44 ± 1.38 |
67.89 ± 0.44 / 23.94 ± 0.68 |
34.80 ± 2.79 / 50.82 ± 2.10 |
36.65 ± 5.07 / 51.56 ± 4.13 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
9.3.2 |
9.3.2 |
9.3.2 |
| four-two-labs/orpo-llama-3-swe (few-shot) |
8030 |
128 |
8192 |
False |
4,974 ± 1,208 / 1,032 ± 342 |
2.42 |
60.93 ± 2.85 / 38.87 ± 3.50 |
79.74 ± 0.68 / 75.13 ± 1.85 |
26.02 ± 4.38 / 52.19 ± 5.44 |
59.84 ± 0.92 / 65.92 ± 0.82 |
64.99 ± 0.26 / 18.65 ± 0.32 |
36.35 ± 1.03 / 51.91 ± 0.77 |
27.22 ± 2.24 / 45.02 ± 1.74 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| meta-llama/Meta-Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,687 ± 1,121 / 967 ± 313 |
2.42 |
60.36 ± 2.84 / 39.37 ± 3.56 |
79.74 ± 0.75 / 75.11 ± 1.91 |
28.24 ± 4.19 / 55.29 ± 5.35 |
59.73 ± 1.13 / 65.72 ± 0.94 |
64.81 ± 0.24 / 18.56 ± 0.35 |
35.86 ± 0.90 / 51.39 ± 0.69 |
26.49 ± 1.89 / 44.41 ± 1.56 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| timpal0l/Llama-3-8B-flashback-v1 (few-shot) |
8030 |
128 |
8192 |
True |
4,807 ± 1,152 / 979 ± 319 |
2.42 |
59.03 ± 2.04 / 41.99 ± 4.35 |
81.13 ± 0.94 / 80.80 ± 1.09 |
33.06 ± 3.65 / 61.21 ± 3.26 |
58.21 ± 0.67 / 64.01 ± 0.68 |
64.42 ± 0.69 / 18.01 ± 0.55 |
35.24 ± 0.83 / 50.70 ± 0.57 |
25.14 ± 2.02 / 42.54 ± 1.99 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| RJuro/munin-neuralbeagle-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,493 ± 466 / 773 ± 243 |
2.44 |
62.96 ± 2.62 / 51.99 ± 5.66 |
77.13 ± 2.43 / 78.36 ± 1.88 |
15.73 ± 7.07 / 47.41 ± 5.31 |
58.43 ± 1.59 / 65.06 ± 1.19 |
67.58 ± 0.22 / 22.52 ± 0.52 |
32.54 ± 2.61 / 49.30 ± 1.93 |
34.94 ± 3.79 / 50.39 ± 3.23 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
9.3.2 |
9.3.2 |
9.3.2 |
| meta-llama/Llama-2-70b-chat-hf (few-shot, val) |
68977 |
32 |
3843 |
True |
1,979 ± 621 / 320 ± 105 |
2.46 |
55.91 ± 3.25 / 39.73 ± 4.94 |
64.52 ± 3.15 / 70.51 ± 2.49 |
23.85 ± 7.34 / 56.89 ± 6.08 |
58.88 ± 1.51 / 65.82 ± 1.07 |
67.57 ± 0.24 / 21.77 ± 0.61 |
37.60 ± 3.30 / 52.46 ± 2.31 |
31.78 ± 2.98 / 47.11 ± 2.71 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| timpal0l/BeagleCatMunin2 (few-shot, val) |
7242 |
32 |
32768 |
False |
2,477 ± 459 / 767 ± 241 |
2.46 |
60.87 ± 3.71 / 47.40 ± 5.32 |
73.72 ± 2.20 / 67.79 ± 2.37 |
6.78 ± 4.34 / 35.90 ± 2.11 |
58.75 ± 1.46 / 65.08 ± 1.15 |
68.06 ± 0.31 / 23.91 ± 0.64 |
33.71 ± 2.28 / 50.08 ± 1.68 |
41.45 ± 3.36 / 55.51 ± 2.69 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
9.3.1 |
9.3.1 |
9.3.1 |
| google/gemma-7b (few-shot) |
8538 |
256 |
8192 |
True |
1,378 ± 260 / 387 ± 119 |
2.47 |
43.68 ± 3.65 / 29.40 ± 3.10 |
77.72 ± 4.50 / 77.58 ± 4.13 |
36.25 ± 2.66 / 65.08 ± 2.92 |
58.62 ± 0.98 / 64.23 ± 0.88 |
64.44 ± 0.29 / 18.70 ± 0.57 |
39.94 ± 1.17 / 53.25 ± 0.89 |
25.96 ± 3.94 / 40.33 ± 3.17 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.10.0 |
| utter-project/EuroLLM-9B-Instruct (few-shot) |
9152 |
128 |
4096 |
False |
5,763 ± 1,178 / 1,390 ± 446 |
2.47 |
40.59 ± 1.98 / 28.19 ± 1.47 |
76.02 ± 2.40 / 77.86 ± 1.70 |
33.98 ± 5.90 / 57.44 ± 6.59 |
56.98 ± 0.58 / 63.97 ± 0.66 |
66.33 ± 0.19 / 20.77 ± 0.27 |
40.09 ± 0.90 / 54.78 ± 0.70 |
36.27 ± 1.57 / 50.67 ± 1.45 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| merge-crew/da-sv-slerp (few-shot, val) |
7242 |
32 |
32768 |
True |
2,467 ± 469 / 762 ± 244 |
2.48 |
46.57 ± 3.34 / 33.94 ± 3.73 |
76.53 ± 2.55 / 77.96 ± 3.04 |
33.43 ± 3.89 / 61.87 ± 4.02 |
59.87 ± 1.52 / 64.53 ± 1.41 |
66.76 ± 0.41 / 21.92 ± 0.79 |
28.89 ± 2.22 / 46.41 ± 1.55 |
30.36 ± 2.80 / 47.15 ± 2.26 |
10.0.1 |
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 |
2.48 |
47.28 ± 3.05 / 34.01 ± 3.73 |
76.62 ± 2.52 / 78.04 ± 2.98 |
33.23 ± 4.72 / 61.29 ± 4.67 |
60.00 ± 1.69 / 64.62 ± 1.44 |
66.68 ± 0.43 / 21.83 ± 0.75 |
29.95 ± 1.74 / 47.23 ± 1.24 |
31.12 ± 3.68 / 47.85 ± 2.80 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| birgermoell/Flashback-Bellman (few-shot, val) |
7242 |
32 |
32768 |
False |
2,887 ± 403 / 1,144 ± 345 |
2.49 |
55.29 ± 3.95 / 41.59 ± 4.48 |
78.29 ± 1.83 / 78.77 ± 2.06 |
18.45 ± 3.00 / 46.38 ± 2.81 |
58.42 ± 1.64 / 63.83 ± 1.18 |
67.54 ± 0.48 / 23.67 ± 0.69 |
29.44 ± 2.34 / 46.95 ± 1.75 |
37.45 ± 3.61 / 52.85 ± 2.76 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
9.3.1 |
9.3.1 |
9.3.1 |
| RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
3,008 ± 429 / 991 ± 323 |
2.50 |
59.36 ± 2.75 / 47.08 ± 4.17 |
72.04 ± 3.27 / 63.83 ± 2.07 |
22.38 ± 7.17 / 54.70 ± 5.49 |
57.96 ± 2.00 / 64.06 ± 1.76 |
65.13 ± 0.34 / 19.26 ± 0.43 |
29.81 ± 2.25 / 47.46 ± 1.72 |
35.59 ± 3.75 / 51.76 ± 2.63 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
9.3.2 |
9.3.2 |
9.3.2 |
| mlabonne/NeuralBeagle14-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
2,549 ± 472 / 784 ± 245 |
2.50 |
61.25 ± 3.35 / 50.76 ± 5.94 |
76.03 ± 2.11 / 78.25 ± 1.95 |
16.28 ± 4.81 / 49.04 ± 3.60 |
50.96 ± 2.34 / 60.05 ± 1.18 |
68.35 ± 0.32 / 24.05 ± 0.66 |
32.30 ± 2.48 / 48.98 ± 1.96 |
38.78 ± 5.70 / 52.89 ± 4.91 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
9.3.2 |
9.3.2 |
9.3.2 |
| bineric/NorskGPT-Llama3-8b (few-shot) |
8030 |
128 |
8192 |
False |
3,695 ± 1,277 / 532 ± 183 |
2.52 |
63.19 ± 2.83 / 51.22 ± 3.61 |
76.06 ± 0.64 / 61.59 ± 0.77 |
5.34 ± 1.42 / 34.32 ± 0.56 |
56.70 ± 0.87 / 66.00 ± 0.59 |
66.25 ± 0.16 / 20.28 ± 0.33 |
36.23 ± 0.91 / 51.68 ± 0.73 |
43.60 ± 1.33 / 56.86 ± 1.15 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| AI-Sweden-Models/tyr (few-shot, val) |
7242 |
32 |
32768 |
False |
6,079 ± 1,051 / 1,760 ± 570 |
2.53 |
56.21 ± 2.49 / 44.78 ± 4.19 |
78.30 ± 1.71 / 79.80 ± 2.03 |
14.35 ± 5.65 / 48.69 ± 4.30 |
61.08 ± 1.47 / 65.72 ± 1.07 |
67.96 ± 0.40 / 24.14 ± 0.74 |
31.74 ± 2.48 / 48.52 ± 1.88 |
30.12 ± 2.07 / 47.58 ± 1.29 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| meta-llama/Meta-Llama-3-8B-Instruct (few-shot) |
8030 |
128 |
8192 |
True |
4,909 ± 1,215 / 978 ± 319 |
2.53 |
69.67 ± 1.30 / 52.94 ± 4.01 |
59.93 ± 4.70 / 67.54 ± 3.04 |
27.63 ± 3.19 / 60.85 ± 3.29 |
49.84 ± 1.61 / 60.85 ± 0.93 |
66.60 ± 0.07 / 19.13 ± 0.31 |
33.54 ± 1.40 / 49.20 ± 1.13 |
30.32 ± 2.27 / 45.96 ± 1.87 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| CohereForAI/aya-expanse-8b (few-shot) |
8028 |
256 |
8192 |
False |
5,581 ± 1,066 / 1,471 ± 483 |
2.54 |
57.38 ± 1.93 / 29.69 ± 4.23 |
78.43 ± 0.93 / 74.54 ± 2.40 |
14.52 ± 2.43 / 45.18 ± 4.21 |
53.14 ± 1.81 / 63.00 ± 0.50 |
65.69 ± 0.22 / 19.95 ± 0.16 |
37.32 ± 0.70 / 52.95 ± 0.50 |
38.28 ± 1.31 / 53.70 ± 0.97 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,443 ± 458 / 750 ± 240 |
2.55 |
46.61 ± 3.11 / 34.10 ± 4.61 |
76.38 ± 2.01 / 78.30 ± 2.42 |
34.16 ± 4.39 / 60.06 ± 4.67 |
58.77 ± 1.76 / 63.50 ± 1.47 |
66.77 ± 0.46 / 22.42 ± 0.84 |
29.77 ± 2.44 / 46.25 ± 1.64 |
25.38 ± 3.56 / 39.34 ± 3.89 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) |
7242 |
32 |
32768 |
True |
5,054 ± 1,200 / 1,056 ± 339 |
2.55 |
44.14 ± 2.40 / 29.77 ± 4.06 |
80.14 ± 1.11 / 80.19 ± 0.78 |
34.23 ± 2.23 / 65.29 ± 2.17 |
57.07 ± 1.56 / 62.52 ± 1.11 |
65.15 ± 0.31 / 18.72 ± 0.57 |
33.24 ± 0.85 / 49.69 ± 0.67 |
25.50 ± 2.25 / 43.44 ± 2.03 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
| birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val) |
7242 |
32 |
32768 |
False |
2,890 ± 401 / 1,155 ± 348 |
2.57 |
52.96 ± 3.45 / 41.51 ± 4.30 |
76.99 ± 2.37 / 76.84 ± 2.99 |
14.27 ± 4.36 / 40.60 ± 3.04 |
59.92 ± 1.64 / 64.87 ± 1.47 |
67.62 ± 0.42 / 23.90 ± 0.77 |
27.95 ± 2.57 / 45.86 ± 1.85 |
36.11 ± 3.54 / 51.60 ± 2.44 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
9.3.1 |
9.3.1 |
9.3.1 |
| birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val) |
7242 |
32 |
32768 |
False |
2,903 ± 407 / 1,157 ± 350 |
2.57 |
63.85 ± 2.67 / 47.77 ± 4.72 |
73.72 ± 2.98 / 62.83 ± 1.64 |
-0.56 ± 2.24 / 33.54 ± 1.03 |
60.10 ± 1.48 / 66.26 ± 1.19 |
68.11 ± 0.21 / 23.63 ± 0.56 |
27.79 ± 2.32 / 45.82 ± 1.61 |
42.43 ± 2.76 / 56.52 ± 2.13 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
9.3.1 |
9.3.1 |
9.3.1 |
| birgermoell/Rapid-Cycling (few-shot, val) |
7242 |
32 |
32768 |
False |
2,346 ± 450 / 666 ± 249 |
2.57 |
53.66 ± 3.57 / 41.97 ± 4.83 |
77.72 ± 2.51 / 78.40 ± 2.65 |
16.22 ± 4.46 / 43.17 ± 3.88 |
59.75 ± 1.13 / 64.72 ± 1.04 |
67.57 ± 0.48 / 23.65 ± 0.72 |
27.24 ± 2.07 / 45.51 ± 1.53 |
32.04 ± 4.21 / 48.67 ± 3.11 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
9.3.2 |
9.3.2 |
9.3.2 |
| birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val) |
7242 |
32 |
32768 |
False |
2,856 ± 391 / 1,142 ± 342 |
2.57 |
63.85 ± 2.67 / 47.77 ± 4.72 |
73.72 ± 2.98 / 62.83 ± 1.64 |
-0.56 ± 2.24 / 33.54 ± 1.03 |
60.10 ± 1.48 / 66.26 ± 1.19 |
68.11 ± 0.21 / 23.63 ± 0.56 |
27.79 ± 2.32 / 45.82 ± 1.61 |
42.43 ± 2.76 / 56.52 ± 2.13 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
9.3.1 |
9.3.1 |
9.3.1 |
| merge-crew/da-sv-ties (few-shot, val) |
7242 |
32 |
32768 |
True |
2,457 ± 451 / 757 ± 237 |
2.58 |
48.36 ± 3.07 / 34.48 ± 5.22 |
76.57 ± 2.19 / 78.11 ± 2.73 |
20.94 ± 5.55 / 44.72 ± 4.06 |
59.07 ± 1.90 / 63.87 ± 1.46 |
66.59 ± 0.50 / 22.19 ± 0.78 |
31.44 ± 1.94 / 47.30 ± 1.54 |
26.04 ± 3.42 / 38.83 ± 4.24 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| mhenrichsen/danskgpt-chat-v2.1 (few-shot) |
unknown |
32 |
32768 |
True |
5,085 ± 998 / 1,306 ± 404 |
2.59 |
54.37 ± 3.04 / 42.16 ± 4.00 |
75.98 ± 1.15 / 74.44 ± 1.12 |
17.98 ± 1.97 / 56.01 ± 2.08 |
55.07 ± 0.74 / 64.24 ± 0.61 |
64.42 ± 0.09 / 14.42 ± 0.51 |
32.81 ± 0.91 / 49.28 ± 0.64 |
36.24 ± 1.44 / 51.96 ± 1.13 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
12.0.0 |
| senseable/WestLake-7B-v2 (few-shot) |
7242 |
32 |
32768 |
False |
5,993 ± 1,028 / 1,742 ± 561 |
2.59 |
58.90 ± 1.34 / 42.48 ± 3.97 |
67.74 ± 2.79 / 71.89 ± 1.89 |
16.52 ± 2.55 / 46.30 ± 2.62 |
49.41 ± 1.21 / 59.91 ± 0.48 |
66.09 ± 0.17 / 19.64 ± 0.27 |
31.76 ± 0.89 / 48.64 ± 0.69 |
45.84 ± 1.47 / 59.27 ± 1.16 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| bineric/NorskGPT-Mistral-7b (few-shot) |
7242 |
32 |
32768 |
False |
2,443 ± 451 / 761 ± 237 |
2.60 |
58.40 ± 2.62 / 40.55 ± 3.65 |
74.30 ± 1.26 / 60.35 ± 0.41 |
0.00 ± 0.00 / 33.37 ± 0.27 |
59.16 ± 1.23 / 65.78 ± 0.72 |
65.36 ± 0.14 / 18.81 ± 0.17 |
35.01 ± 0.99 / 51.07 ± 0.70 |
43.72 ± 0.69 / 57.66 ± 0.50 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
11.0.0 |
9.3.1 |
9.3.1 |
| merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,515 ± 465 / 785 ± 247 |
2.62 |
45.12 ± 2.72 / 30.73 ± 4.55 |
78.74 ± 2.13 / 80.11 ± 2.64 |
19.74 ± 6.09 / 46.97 ± 5.83 |
60.15 ± 1.71 / 65.22 ± 1.28 |
66.41 ± 0.46 / 21.90 ± 0.70 |
31.24 ± 3.01 / 47.77 ± 2.19 |
22.30 ± 3.50 / 39.45 ± 2.60 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| mlabonne/AlphaMonarch-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
5,340 ± 1,262 / 1,157 ± 375 |
2.64 |
60.53 ± 3.06 / 48.45 ± 5.19 |
67.03 ± 3.61 / 70.77 ± 1.95 |
15.10 ± 4.60 / 48.57 ± 2.91 |
42.46 ± 1.63 / 53.50 ± 1.40 |
67.94 ± 0.21 / 22.99 ± 0.24 |
27.51 ± 3.08 / 45.43 ± 2.37 |
42.29 ± 5.08 / 55.43 ± 4.50 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| timpal0l/njord-alpha (few-shot) |
7242 |
32 |
32768 |
True |
5,431 ± 1,267 / 1,139 ± 365 |
2.64 |
48.19 ± 2.55 / 37.50 ± 3.62 |
79.95 ± 0.87 / 81.24 ± 0.64 |
32.85 ± 2.28 / 61.74 ± 3.05 |
57.39 ± 1.52 / 63.58 ± 1.19 |
65.95 ± 0.25 / 20.56 ± 0.37 |
25.32 ± 0.99 / 42.09 ± 1.04 |
14.55 ± 2.32 / 31.99 ± 2.16 |
12.7.0 |
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 |
2.65 |
55.06 ± 2.38 / 41.39 ± 4.31 |
77.50 ± 0.90 / 73.87 ± 1.21 |
17.47 ± 2.33 / 47.73 ± 3.35 |
58.67 ± 0.96 / 64.58 ± 0.78 |
64.18 ± 0.24 / 18.13 ± 0.35 |
31.04 ± 1.08 / 48.29 ± 0.82 |
23.57 ± 1.68 / 42.37 ± 1.34 |
10.0.1 |
10.0.1 |
10.0.1 |
12.5.0 |
12.5.0 |
10.0.1 |
10.0.1 |
| ibm-granite/granite-3.0-8b-base (few-shot) |
8171 |
49 |
4096 |
True |
5,116 ± 943 / 1,436 ± 472 |
2.67 |
44.80 ± 2.36 / 34.91 ± 2.67 |
75.92 ± 2.44 / 75.77 ± 2.08 |
24.84 ± 2.78 / 59.88 ± 4.08 |
56.71 ± 1.65 / 62.01 ± 1.64 |
63.65 ± 0.52 / 18.25 ± 0.41 |
26.71 ± 1.53 / 44.61 ± 1.21 |
30.43 ± 0.92 / 47.06 ± 0.83 |
13.0.0 |
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 |
2.69 |
47.10 ± 2.60 / 35.06 ± 3.65 |
73.05 ± 5.27 / 74.56 ± 4.19 |
30.29 ± 2.63 / 61.40 ± 3.22 |
57.39 ± 1.38 / 63.51 ± 1.04 |
64.69 ± 0.53 / 19.03 ± 0.41 |
27.40 ± 0.76 / 44.17 ± 0.82 |
21.08 ± 3.28 / 38.46 ± 2.96 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
| meta-llama/Llama-2-13b-hf (few-shot) |
13016 |
32 |
4096 |
True |
2,898 ± 637 / 736 ± 236 |
2.70 |
54.52 ± 3.33 / 44.11 ± 5.29 |
78.45 ± 1.21 / 79.73 ± 0.97 |
21.55 ± 3.74 / 49.54 ± 4.41 |
59.71 ± 0.68 / 65.01 ± 0.64 |
64.59 ± 0.34 / 18.56 ± 0.39 |
25.51 ± 0.81 / 43.68 ± 0.60 |
14.97 ± 1.73 / 34.85 ± 1.34 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.5 |
12.10.5 |
12.10.4 |
12.10.4 |
| alpindale/Mistral-7B-v0.2-hf (few-shot) |
7242 |
32 |
32768 |
True |
1,841 ± 297 / 651 ± 193 |
2.71 |
48.96 ± 2.72 / 39.25 ± 3.69 |
78.90 ± 0.95 / 78.62 ± 1.08 |
10.82 ± 3.46 / 38.95 ± 3.80 |
58.91 ± 1.02 / 64.72 ± 0.76 |
64.78 ± 0.33 / 19.24 ± 0.42 |
34.52 ± 1.19 / 50.47 ± 0.93 |
20.96 ± 1.96 / 39.95 ± 1.66 |
12.5.2 |
12.5.1 |
12.5.1 |
12.5.1 |
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 |
2.71 |
49.18 ± 2.71 / 39.25 ± 3.60 |
79.08 ± 0.77 / 78.81 ± 0.94 |
11.06 ± 3.55 / 38.96 ± 3.77 |
58.98 ± 1.04 / 64.79 ± 0.79 |
64.79 ± 0.32 / 19.30 ± 0.42 |
34.51 ± 1.13 / 50.46 ± 0.88 |
20.84 ± 2.19 / 39.88 ± 1.85 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.5 |
12.10.4 |
12.10.4 |
| mhenrichsen/hestenettetLM (few-shot) |
7242 |
32 |
32768 |
True |
5,160 ± 804 / 1,654 ± 516 |
2.72 |
53.00 ± 2.53 / 39.09 ± 3.72 |
79.70 ± 0.65 / 79.45 ± 0.68 |
4.32 ± 2.19 / 34.43 ± 0.87 |
59.03 ± 1.03 / 64.74 ± 0.84 |
64.89 ± 0.28 / 19.31 ± 0.40 |
35.48 ± 0.99 / 51.54 ± 0.72 |
20.54 ± 2.14 / 39.66 ± 1.80 |
12.5.2 |
12.3.2 |
12.3.2 |
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 |
2.72 |
53.34 ± 2.55 / 40.48 ± 3.66 |
80.00 ± 0.70 / 79.80 ± 0.66 |
4.61 ± 2.18 / 34.51 ± 0.86 |
58.99 ± 1.05 / 64.65 ± 0.83 |
64.87 ± 0.31 / 19.30 ± 0.43 |
35.52 ± 1.01 / 51.52 ± 0.73 |
19.67 ± 2.31 / 38.98 ± 1.98 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
11.0.0 |
9.1.2 |
9.1.2 |
| AI-Sweden-Models/Llama-3-8B (few-shot) |
8030 |
128 |
8192 |
True |
4,141 ± 994 / 905 ± 299 |
2.73 |
36.45 ± 2.44 / 27.24 ± 2.29 |
81.12 ± 1.02 / 77.04 ± 2.74 |
26.80 ± 2.07 / 59.15 ± 2.72 |
58.16 ± 0.82 / 64.72 ± 0.72 |
66.09 ± 0.31 / 20.48 ± 0.47 |
29.01 ± 0.68 / 45.32 ± 0.67 |
15.92 ± 1.74 / 35.28 ± 1.24 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| KennethEnevoldsen/munin_mistral-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
2,543 ± 466 / 787 ± 247 |
2.73 |
52.34 ± 3.07 / 39.14 ± 4.60 |
77.66 ± 2.09 / 78.59 ± 2.41 |
6.00 ± 4.15 / 36.34 ± 2.20 |
60.16 ± 1.81 / 64.12 ± 1.59 |
65.54 ± 0.49 / 19.31 ± 0.71 |
31.83 ± 2.27 / 48.55 ± 1.67 |
20.55 ± 3.93 / 38.95 ± 3.23 |
12.5.2 |
12.3.1 |
12.3.1 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| Mabeck/Heidrun-Mistral-7B-base (few-shot) |
7242 |
32 |
32768 |
True |
3,823 ± 967 / 860 ± 280 |
2.74 |
48.43 ± 2.75 / 35.31 ± 2.80 |
79.43 ± 0.85 / 78.21 ± 1.69 |
17.37 ± 2.57 / 52.91 ± 4.93 |
57.05 ± 1.22 / 62.72 ± 0.89 |
63.81 ± 0.34 / 18.13 ± 0.31 |
31.72 ± 0.55 / 48.70 ± 0.45 |
15.69 ± 2.43 / 35.96 ± 2.03 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| ibm-granite/granite-3.0-8b-instruct (few-shot) |
8171 |
49 |
4096 |
True |
5,090 ± 937 / 1,423 ± 466 |
2.75 |
44.94 ± 2.91 / 35.67 ± 3.53 |
76.78 ± 1.63 / 78.27 ± 1.22 |
16.96 ± 2.77 / 55.03 ± 3.49 |
56.83 ± 1.02 / 63.13 ± 0.89 |
65.09 ± 0.37 / 19.37 ± 0.37 |
26.57 ± 1.18 / 44.19 ± 0.95 |
24.62 ± 2.11 / 42.11 ± 1.50 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot) |
7242 |
32 |
32768 |
False |
3,006 ± 479 / 1,053 ± 319 |
2.78 |
44.64 ± 1.66 / 31.30 ± 2.96 |
77.98 ± 1.01 / 72.79 ± 2.47 |
16.57 ± 2.58 / 51.86 ± 3.69 |
57.31 ± 0.92 / 63.73 ± 1.04 |
63.23 ± 0.35 / 15.35 ± 0.57 |
28.15 ± 0.90 / 45.69 ± 0.72 |
23.58 ± 1.41 / 42.30 ± 1.04 |
11.0.0 |
11.0.0 |
11.0.0 |
12.4.0 |
12.4.0 |
11.0.0 |
11.0.0 |
| meta-llama/Llama-2-13b-chat-hf (few-shot) |
13016 |
32 |
4096 |
True |
2,849 ± 622 / 723 ± 229 |
2.78 |
49.90 ± 2.28 / 35.48 ± 3.44 |
77.19 ± 2.05 / 79.13 ± 1.43 |
14.67 ± 2.27 / 53.90 ± 2.24 |
57.12 ± 0.70 / 63.72 ± 0.73 |
66.25 ± 0.10 / 19.64 ± 0.19 |
24.40 ± 1.20 / 42.73 ± 0.90 |
19.30 ± 1.27 / 38.75 ± 1.05 |
12.10.5 |
12.10.4 |
12.10.4 |
12.11.0 |
12.11.0 |
12.10.4 |
12.10.4 |
| CohereForAI/aya-23-8B (few-shot) |
8028 |
256 |
8192 |
False |
5,608 ± 1,062 / 1,472 ± 479 |
2.79 |
60.04 ± 1.22 / 43.93 ± 3.63 |
76.21 ± 0.85 / 67.87 ± 1.71 |
7.54 ± 2.52 / 35.42 ± 1.33 |
58.60 ± 0.59 / 63.65 ± 0.30 |
63.00 ± 0.55 / 18.11 ± 0.35 |
20.97 ± 0.82 / 39.72 ± 0.64 |
28.96 ± 2.18 / 46.32 ± 1.64 |
13.0.0 |
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 |
2.79 |
42.23 ± 2.44 / 30.30 ± 4.71 |
78.80 ± 0.93 / 75.28 ± 1.78 |
15.47 ± 1.79 / 54.26 ± 3.41 |
56.75 ± 1.15 / 62.43 ± 0.95 |
62.78 ± 0.76 / 16.74 ± 0.45 |
30.86 ± 1.12 / 47.83 ± 0.93 |
19.11 ± 2.74 / 38.55 ± 2.29 |
12.5.2 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
12.4.0 |
| bineric/NorskGPT-Llama-13B-v0.1 (few-shot) |
13016 |
32 |
4096 |
False |
2,856 ± 645 / 709 ± 243 |
2.83 |
49.26 ± 2.31 / 36.92 ± 4.05 |
79.05 ± 0.80 / 77.87 ± 2.06 |
0.22 ± 0.43 / 33.38 ± 0.26 |
56.78 ± 1.02 / 63.61 ± 0.61 |
65.99 ± 0.07 / 19.57 ± 0.17 |
25.56 ± 0.86 / 43.67 ± 0.64 |
28.26 ± 1.97 / 45.89 ± 1.42 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
| mistralai/Mistral-7B-Instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
2.83 |
47.92 ± 2.66 / 33.00 ± 3.24 |
62.90 ± 2.44 / 70.61 ± 1.19 |
19.95 ± 2.24 / 56.49 ± 2.10 |
52.51 ± 0.36 / 61.42 ± 0.52 |
66.11 ± 0.18 / 19.64 ± 0.28 |
25.60 ± 1.10 / 43.53 ± 0.90 |
21.75 ± 1.61 / 40.57 ± 1.45 |
9.2.0 |
9.2.0 |
9.3.1 |
12.4.0 |
12.4.0 |
9.3.2 |
9.3.2 |
| meta-llama/Llama-3.2-3B-Instruct (few-shot) |
3213 |
128 |
131073 |
False |
10,424 ± 2,641 / 2,081 ± 666 |
2.85 |
43.74 ± 2.58 / 34.37 ± 2.59 |
76.98 ± 1.31 / 71.38 ± 3.20 |
16.01 ± 2.24 / 51.83 ± 3.50 |
48.38 ± 1.78 / 57.83 ± 0.99 |
64.98 ± 0.47 / 17.53 ± 0.50 |
29.44 ± 0.61 / 47.21 ± 0.47 |
22.42 ± 1.89 / 41.45 ± 1.49 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot) |
7242 |
32 |
32768 |
False |
5,172 ± 813 / 1,647 ± 518 |
2.85 |
46.74 ± 4.30 / 33.57 ± 4.51 |
77.06 ± 1.82 / 79.02 ± 1.37 |
14.00 ± 1.59 / 53.89 ± 3.10 |
56.74 ± 0.52 / 63.45 ± 0.49 |
62.56 ± 0.85 / 15.85 ± 0.34 |
30.87 ± 1.35 / 47.77 ± 1.01 |
15.79 ± 1.57 / 35.66 ± 0.84 |
12.5.2 |
12.3.2 |
12.3.2 |
12.4.0 |
12.4.0 |
12.3.2 |
12.3.2 |
| google/gemma-2-2b-it (few-shot) |
2614 |
256 |
8193 |
True |
5,374 ± 1,233 / 1,193 ± 377 |
2.87 |
35.61 ± 2.19 / 26.05 ± 2.45 |
75.84 ± 1.41 / 77.22 ± 1.09 |
15.62 ± 1.67 / 51.30 ± 3.09 |
47.76 ± 0.92 / 58.65 ± 0.83 |
65.16 ± 0.13 / 18.88 ± 0.13 |
27.00 ± 0.89 / 44.95 ± 0.72 |
31.43 ± 1.21 / 47.99 ± 0.85 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| RuterNorway/Llama-2-13b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
3,254 ± 1,068 / 484 ± 173 |
2.89 |
50.85 ± 2.44 / 39.65 ± 3.83 |
74.17 ± 2.12 / 76.62 ± 1.83 |
7.51 ± 1.94 / 37.81 ± 1.76 |
57.32 ± 0.63 / 63.28 ± 0.71 |
65.20 ± 0.45 / 19.06 ± 0.15 |
23.92 ± 0.88 / 42.25 ± 0.73 |
17.67 ± 1.53 / 37.32 ± 1.20 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| meta-llama/Llama-3.2-3B (few-shot) |
3213 |
128 |
131073 |
True |
3,713 ± 877 / 836 ± 267 |
2.90 |
51.06 ± 2.85 / 31.63 ± 3.67 |
77.76 ± 1.09 / 67.88 ± 3.15 |
5.88 ± 3.89 / 38.51 ± 4.84 |
57.43 ± 1.04 / 62.93 ± 0.94 |
62.73 ± 0.74 / 17.61 ± 0.49 |
27.05 ± 1.14 / 44.68 ± 0.87 |
13.30 ± 1.20 / 33.89 ± 1.04 |
13.0.0 |
13.0.0 |
13.0.0 |
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 |
2.91 |
47.67 ± 2.81 / 36.91 ± 3.50 |
71.73 ± 2.40 / 74.97 ± 1.84 |
7.90 ± 3.20 / 41.24 ± 4.78 |
57.78 ± 0.79 / 64.48 ± 0.73 |
65.07 ± 0.34 / 19.59 ± 0.38 |
25.52 ± 1.30 / 43.68 ± 1.03 |
14.06 ± 1.68 / 35.12 ± 1.47 |
12.5.2 |
12.2.0 |
12.3.1 |
12.4.0 |
12.4.0 |
12.3.1 |
12.3.1 |
| 01-ai/Yi-1.5-6B (few-shot) |
6061 |
64 |
4097 |
True |
2,867 ± 550 / 793 ± 253 |
2.92 |
45.55 ± 2.18 / 26.78 ± 3.65 |
70.71 ± 1.99 / 71.19 ± 1.14 |
4.83 ± 3.48 / 36.64 ± 2.95 |
55.25 ± 1.21 / 61.21 ± 0.89 |
63.18 ± 0.45 / 17.62 ± 0.51 |
26.05 ± 0.80 / 44.56 ± 0.62 |
27.09 ± 1.66 / 44.95 ± 1.30 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot) |
8030 |
128 |
131072 |
True |
2,841 ± 509 / 865 ± 263 |
2.93 |
33.21 ± 2.39 / 32.18 ± 2.40 |
76.57 ± 0.92 / 76.28 ± 1.76 |
10.51 ± 3.79 / 49.04 ± 4.63 |
58.15 ± 1.06 / 63.06 ± 0.85 |
63.82 ± 0.35 / 18.33 ± 0.43 |
26.73 ± 0.72 / 44.29 ± 0.56 |
21.33 ± 4.54 / 37.89 ± 3.66 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| occiglot/occiglot-7b-eu5 (few-shot) |
7242 |
32 |
32768 |
True |
2,219 ± 427 / 717 ± 224 |
2.93 |
49.02 ± 3.23 / 41.69 ± 3.74 |
76.56 ± 1.52 / 78.16 ± 1.12 |
2.18 ± 2.34 / 36.26 ± 3.89 |
58.98 ± 0.95 / 63.65 ± 0.89 |
64.42 ± 0.45 / 18.79 ± 0.47 |
23.68 ± 1.41 / 42.15 ± 1.14 |
14.05 ± 1.60 / 34.81 ± 1.58 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.2.0 |
| neph1/bellman-7b-mistral-instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
2,518 ± 463 / 779 ± 243 |
2.98 |
54.38 ± 2.92 / 39.66 ± 5.20 |
55.84 ± 2.51 / 66.96 ± 1.37 |
16.05 ± 2.15 / 54.22 ± 2.86 |
53.22 ± 0.88 / 61.85 ± 0.63 |
64.90 ± 0.14 / 16.99 ± 0.20 |
22.36 ± 1.17 / 41.14 ± 0.78 |
12.52 ± 1.41 / 33.90 ± 1.11 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
12.4.0 |
9.2.0 |
9.2.0 |
| mistralai/Mistral-7B-Instruct-v0.1 (few-shot) |
7242 |
32 |
32768 |
False |
634 ± 179 / 110 ± 35 |
2.99 |
45.01 ± 2.11 / 27.59 ± 3.35 |
73.33 ± 1.98 / 76.19 ± 1.59 |
11.59 ± 3.45 / 40.89 ± 4.15 |
52.12 ± 1.42 / 59.29 ± 1.17 |
63.10 ± 0.60 / 18.05 ± 0.36 |
24.03 ± 1.09 / 42.32 ± 0.70 |
15.37 ± 0.71 / 35.78 ± 0.69 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
12.4.0 |
9.3.1 |
9.3.1 |
| meta-llama/Llama-2-7b-hf (few-shot) |
6738 |
32 |
4096 |
True |
930 ± 310 / 128 ± 43 |
3.02 |
44.11 ± 4.26 / 31.64 ± 4.48 |
79.05 ± 1.08 / 75.52 ± 2.66 |
7.34 ± 3.19 / 43.83 ± 5.31 |
57.49 ± 0.95 / 63.16 ± 0.77 |
64.63 ± 0.39 / 18.68 ± 0.39 |
15.65 ± 0.55 / 36.32 ± 0.55 |
8.74 ± 1.34 / 29.87 ± 1.40 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
12.0.0 |
9.2.0 |
9.2.0 |
| bineric/NorskGPT-Llama-7B-v0.1 (few-shot) |
6738 |
32 |
4096 |
False |
5,384 ± 879 / 1,746 ± 553 |
3.04 |
53.95 ± 1.89 / 42.16 ± 4.59 |
60.91 ± 2.35 / 59.47 ± 1.21 |
0.32 ± 0.62 / 33.39 ± 0.28 |
55.28 ± 0.62 / 63.41 ± 0.55 |
63.73 ± 0.18 / 15.64 ± 0.27 |
20.96 ± 0.77 / 40.70 ± 0.59 |
25.76 ± 1.39 / 43.71 ± 1.09 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| ibm-granite/granite-8b-code-base-4k (few-shot) |
8055 |
49 |
4096 |
True |
2,313 ± 423 / 682 ± 210 |
3.10 |
59.77 ± 3.55 / 45.71 ± 4.91 |
74.45 ± 1.19 / 72.26 ± 0.89 |
3.97 ± 1.50 / 34.79 ± 0.80 |
50.18 ± 1.05 / 56.07 ± 0.89 |
62.61 ± 0.55 / 17.92 ± 0.33 |
14.34 ± 0.73 / 35.93 ± 0.55 |
7.40 ± 1.39 / 30.20 ± 1.23 |
13.0.0 |
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 |
3.11 |
41.25 ± 2.07 / 32.87 ± 2.49 |
76.60 ± 0.98 / 64.63 ± 2.41 |
6.37 ± 2.08 / 49.55 ± 3.34 |
54.87 ± 0.64 / 61.35 ± 0.68 |
62.90 ± 0.52 / 17.15 ± 0.51 |
16.18 ± 0.78 / 34.88 ± 0.66 |
8.52 ± 1.90 / 29.96 ± 1.75 |
12.10.5 |
12.10.4 |
12.10.4 |
12.10.5 |
12.10.5 |
12.10.4 |
12.10.4 |
| meta-llama/Llama-2-7b-chat-hf (few-shot) |
6738 |
32 |
4096 |
False |
2,643 ± 455 / 800 ± 247 |
3.11 |
39.72 ± 2.82 / 29.85 ± 2.99 |
66.18 ± 3.25 / 72.00 ± 1.75 |
6.74 ± 1.66 / 45.55 ± 4.31 |
54.05 ± 0.84 / 60.90 ± 0.82 |
65.92 ± 0.05 / 18.51 ± 0.18 |
17.73 ± 0.98 / 37.55 ± 0.69 |
12.85 ± 0.93 / 33.37 ± 0.90 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
12.4.0 |
9.3.1 |
9.3.1 |
| merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val) |
7242 |
32 |
32768 |
True |
2,461 ± 476 / 773 ± 248 |
3.13 |
32.37 ± 3.05 / 24.60 ± 3.81 |
75.33 ± 2.41 / 77.99 ± 2.58 |
12.73 ± 6.32 / 45.51 ± 7.43 |
53.05 ± 1.83 / 58.32 ± 1.46 |
64.74 ± 0.74 / 19.59 ± 0.87 |
15.60 ± 1.96 / 33.16 ± 1.77 |
9.81 ± 2.55 / 28.12 ± 2.70 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
| ibm-granite/granite-3.0-2b-instruct (few-shot) |
2634 |
49 |
4097 |
True |
10,194 ± 2,403 / 2,193 ± 731 |
3.15 |
45.23 ± 3.64 / 37.99 ± 4.03 |
72.76 ± 2.25 / 72.65 ± 2.38 |
11.25 ± 2.04 / 51.22 ± 3.26 |
52.22 ± 0.70 / 59.36 ± 0.78 |
61.56 ± 0.78 / 17.51 ± 0.44 |
18.14 ± 1.00 / 38.28 ± 0.77 |
6.77 ± 1.16 / 28.93 ± 0.94 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| microsoft/Phi-3-mini-4k-instruct (few-shot) |
3821 |
32 |
4096 |
True |
5,224 ± 1,371 / 1,063 ± 358 |
3.15 |
46.15 ± 2.77 / 24.28 ± 3.74 |
67.17 ± 1.93 / 70.99 ± 1.64 |
5.30 ± 1.62 / 47.01 ± 3.23 |
51.12 ± 1.02 / 57.49 ± 0.81 |
59.20 ± 0.99 / 15.57 ± 0.62 |
21.33 ± 1.03 / 41.04 ± 0.78 |
16.12 ± 1.15 / 36.99 ± 0.85 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| Qwen/Qwen1.5-4B-Chat (few-shot) |
3950 |
152 |
32768 |
False |
4,347 ± 893 / 1,135 ± 365 |
3.16 |
40.19 ± 2.97 / 31.88 ± 4.51 |
64.08 ± 2.44 / 69.62 ± 1.29 |
5.43 ± 2.02 / 38.32 ± 2.54 |
53.21 ± 1.08 / 59.57 ± 0.97 |
61.90 ± 0.87 / 17.34 ± 0.52 |
20.95 ± 0.97 / 40.87 ± 0.76 |
16.59 ± 1.45 / 36.76 ± 1.20 |
12.5.2 |
10.0.1 |
12.1.0 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
| google/gemma-2-2b (few-shot) |
2614 |
256 |
8193 |
True |
5,235 ± 1,226 / 1,154 ± 366 |
3.18 |
30.45 ± 3.49 / 23.98 ± 3.18 |
76.36 ± 1.10 / 65.98 ± 2.36 |
6.06 ± 2.07 / 49.80 ± 2.71 |
55.19 ± 0.71 / 60.59 ± 0.61 |
63.12 ± 0.69 / 17.92 ± 0.39 |
20.80 ± 0.90 / 40.36 ± 0.78 |
6.24 ± 1.13 / 28.87 ± 1.03 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| ibm-granite/granite-8b-code-instruct-4k (few-shot) |
8055 |
49 |
4096 |
True |
5,617 ± 995 / 1,623 ± 540 |
3.18 |
52.85 ± 2.76 / 35.11 ± 3.66 |
73.93 ± 1.58 / 73.97 ± 1.19 |
8.27 ± 2.90 / 43.29 ± 4.82 |
48.49 ± 0.77 / 54.50 ± 0.73 |
60.98 ± 0.80 / 16.18 ± 0.48 |
13.69 ± 0.86 / 33.34 ± 0.46 |
5.68 ± 1.13 / 27.99 ± 1.11 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| AI-Sweden-Models/gpt-sw3-40b (few-shot) |
39927 |
64 |
1795 |
True |
409 ± 53 / 182 ± 54 |
3.19 |
32.00 ± 3.27 / 17.02 ± 2.03 |
80.44 ± 0.54 / 77.81 ± 1.18 |
10.73 ± 2.53 / 51.37 ± 4.05 |
53.80 ± 0.86 / 60.53 ± 0.78 |
65.16 ± 0.50 / 19.50 ± 0.58 |
8.35 ± 0.95 / 30.38 ± 0.80 |
5.74 ± 1.30 / 28.98 ± 1.13 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.1 |
12.9.1 |
12.9.1 |
| emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot) |
3821 |
32 |
4096 |
False |
1,360 ± 179 / 566 ± 190 |
3.19 |
47.81 ± 2.60 / 27.94 ± 5.79 |
68.43 ± 2.12 / 68.82 ± 2.65 |
3.63 ± 1.46 / 43.69 ± 4.56 |
53.03 ± 0.62 / 58.80 ± 0.59 |
56.14 ± 0.47 / 11.16 ± 0.37 |
23.29 ± 1.03 / 42.63 ± 0.76 |
12.06 ± 1.23 / 33.77 ± 0.99 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
12.10.4 |
| ibm-granite/granite-3.0-2b-base (few-shot) |
2534 |
49 |
4097 |
True |
10,187 ± 2,363 / 2,204 ± 737 |
3.22 |
36.54 ± 2.70 / 28.79 ± 3.85 |
68.85 ± 5.19 / 70.02 ± 3.95 |
2.60 ± 2.58 / 40.21 ± 4.08 |
54.58 ± 0.89 / 59.78 ± 0.77 |
61.77 ± 1.85 / 17.01 ± 0.69 |
16.19 ± 1.01 / 37.23 ± 0.78 |
14.06 ± 1.52 / 34.80 ± 1.35 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| microsoft/Phi-3-mini-128k-instruct (few-shot) |
3821 |
32 |
130819 |
True |
7,312 ± 1,668 / 1,609 ± 525 |
3.24 |
42.36 ± 1.67 / 21.33 ± 2.90 |
51.53 ± 6.32 / 62.14 ± 3.43 |
3.11 ± 1.60 / 47.93 ± 2.93 |
51.11 ± 0.96 / 57.21 ± 0.95 |
59.28 ± 0.86 / 15.52 ± 0.64 |
22.99 ± 1.08 / 42.27 ± 0.81 |
20.19 ± 0.99 / 40.11 ± 0.71 |
12.9.1 |
12.9.1 |
12.9.1 |
12.9.1 |
12.10.0 |
12.10.0 |
12.10.0 |
| AI-Sweden-Models/gpt-sw3-20b (few-shot) |
20918 |
64 |
2048 |
True |
1,875 ± 673 / 261 ± 91 |
3.26 |
31.86 ± 5.09 / 21.95 ± 3.90 |
79.20 ± 1.03 / 79.87 ± 1.11 |
12.26 ± 1.97 / 46.90 ± 4.11 |
53.58 ± 0.97 / 60.28 ± 0.81 |
64.14 ± 0.46 / 18.76 ± 0.39 |
3.15 ± 0.80 / 27.43 ± 0.91 |
2.77 ± 1.26 / 26.43 ± 0.84 |
9.3.1 |
12.10.0 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| NorwAI/NorwAI-Mistral-7B (few-shot) |
7537 |
68 |
4065 |
True |
3,035 ± 503 / 911 ± 300 |
3.27 |
23.88 ± 7.28 / 17.99 ± 3.56 |
80.26 ± 0.89 / 77.89 ± 0.89 |
13.50 ± 2.27 / 52.55 ± 2.86 |
55.02 ± 0.96 / 60.74 ± 0.89 |
64.78 ± 0.63 / 18.68 ± 0.51 |
6.62 ± 0.88 / 27.61 ± 0.74 |
2.66 ± 1.04 / 26.32 ± 0.72 |
12.10.5 |
12.10.4 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| google/gemma-7b-it (few-shot) |
8538 |
256 |
8192 |
False |
1,792 ± 249 / 668 ± 203 |
3.27 |
59.26 ± 2.00 / 52.73 ± 2.71 |
28.63 ± 1.24 / 50.95 ± 0.75 |
11.43 ± 1.88 / 53.31 ± 1.74 |
46.67 ± 1.97 / 53.24 ± 1.72 |
63.88 ± 0.30 / 18.58 ± 0.16 |
17.95 ± 1.18 / 36.41 ± 1.02 |
13.55 ± 1.32 / 33.39 ± 1.32 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.10.0 |
12.10.0 |
12.10.0 |
| TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot) |
7800 |
100 |
4096 |
True |
6,197 ± 1,118 / 1,730 ± 577 |
3.28 |
42.87 ± 3.17 / 40.34 ± 2.52 |
79.18 ± 0.46 / 76.66 ± 1.44 |
8.65 ± 1.60 / 46.95 ± 3.15 |
51.56 ± 0.79 / 57.58 ± 0.79 |
64.66 ± 0.41 / 18.04 ± 0.38 |
2.37 ± 1.04 / 24.51 ± 0.95 |
0.17 ± 0.83 / 25.26 ± 0.69 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| ibm-granite/granite-3.0-3b-a800m-instruct (few-shot) |
3374 |
49 |
4096 |
True |
10,246 ± 3,021 / 1,629 ± 550 |
3.31 |
40.68 ± 2.32 / 24.33 ± 2.43 |
68.96 ± 2.04 / 72.76 ± 1.25 |
4.77 ± 1.97 / 43.64 ± 5.60 |
49.73 ± 0.76 / 56.63 ± 0.69 |
60.93 ± 0.49 / 14.76 ± 0.77 |
13.55 ± 1.27 / 34.97 ± 0.99 |
5.27 ± 1.49 / 27.92 ± 1.10 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| tollefj/nordavind-7b-instruct-warm (few-shot) |
7248 |
33 |
2048 |
False |
6,450 ± 961 / 2,082 ± 658 |
3.31 |
47.24 ± 3.36 / 24.94 ± 3.21 |
77.91 ± 1.42 / 76.08 ± 2.54 |
5.55 ± 2.55 / 48.57 ± 3.21 |
51.41 ± 0.74 / 57.55 ± 0.69 |
61.11 ± 1.02 / 17.57 ± 0.33 |
1.49 ± 1.11 / 25.90 ± 0.71 |
3.97 ± 0.92 / 27.45 ± 0.68 |
12.5.2 |
12.3.2 |
12.3.2 |
12.4.0 |
12.4.0 |
12.3.2 |
12.3.2 |
| MaLA-LM/emma-500-llama2-7b (few-shot) |
6738 |
32 |
4096 |
True |
6,275 ± 1,193 / 1,755 ± 578 |
3.32 |
41.49 ± 2.82 / 38.09 ± 2.86 |
75.64 ± 1.51 / 76.06 ± 1.42 |
0.66 ± 1.97 / 33.73 ± 0.54 |
57.48 ± 0.54 / 63.85 ± 0.46 |
55.94 ± 1.10 / 13.29 ± 0.34 |
10.56 ± 1.14 / 31.45 ± 0.92 |
5.03 ± 1.36 / 28.41 ± 0.76 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| norallm/normistral-7b-warm-instruct (few-shot) |
7248 |
33 |
2048 |
True |
6,194 ± 949 / 1,967 ± 619 |
3.33 |
51.45 ± 3.13 / 26.49 ± 3.00 |
63.64 ± 3.74 / 65.08 ± 2.46 |
5.80 ± 1.74 / 51.04 ± 1.54 |
48.95 ± 1.00 / 57.09 ± 0.92 |
62.18 ± 0.57 / 16.32 ± 0.33 |
4.88 ± 0.59 / 25.13 ± 0.54 |
4.63 ± 1.09 / 27.29 ± 1.02 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
| LumiOpen/Viking-33B@1000B (few-shot) |
33119 |
131 |
4099 |
True |
2,080 ± 700 / 331 ± 117 |
3.36 |
42.35 ± 1.51 / 28.31 ± 3.87 |
77.68 ± 1.11 / 78.86 ± 0.93 |
8.08 ± 1.69 / 50.52 ± 2.25 |
54.57 ± 1.25 / 60.34 ± 1.10 |
58.30 ± 1.94 / 14.29 ± 0.83 |
1.73 ± 1.04 / 24.98 ± 0.69 |
-0.32 ± 1.25 / 25.53 ± 0.82 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
12.9.0 |
| NorwAI/NorwAI-Llama2-7B (few-shot) |
7033 |
68 |
4096 |
True |
4,438 ± 1,128 / 1,028 ± 346 |
3.36 |
24.98 ± 2.04 / 25.50 ± 1.92 |
79.36 ± 1.35 / 76.34 ± 3.44 |
5.75 ± 2.23 / 41.27 ± 4.75 |
54.74 ± 0.84 / 60.74 ± 0.65 |
64.60 ± 1.09 / 18.36 ± 0.56 |
3.83 ± 1.03 / 26.46 ± 0.77 |
4.40 ± 1.42 / 28.14 ± 1.05 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot) |
7111 |
64 |
2048 |
True |
2,351 ± 448 / 707 ± 216 |
3.38 |
28.73 ± 3.63 / 20.43 ± 3.72 |
77.47 ± 1.36 / 78.60 ± 1.25 |
8.78 ± 2.01 / 42.28 ± 3.17 |
50.57 ± 0.94 / 56.51 ± 0.79 |
62.41 ± 0.85 / 16.45 ± 0.64 |
5.23 ± 1.02 / 28.63 ± 0.82 |
5.39 ± 0.81 / 28.86 ± 0.60 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
11.0.0 |
9.2.0 |
9.2.0 |
| AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) |
20918 |
64 |
2048 |
True |
1,831 ± 587 / 268 ± 90 |
3.41 |
15.70 ± 1.54 / 14.65 ± 1.52 |
68.23 ± 3.81 / 71.17 ± 3.07 |
12.39 ± 1.39 / 50.99 ± 3.37 |
52.04 ± 0.97 / 60.86 ± 0.77 |
65.44 ± 0.22 / 19.75 ± 0.32 |
6.86 ± 0.91 / 29.83 ± 1.12 |
6.92 ± 0.75 / 28.96 ± 0.67 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
| norallm/normistral-7b-warm (few-shot) |
7248 |
33 |
2048 |
True |
3,175 ± 456 / 1,186 ± 354 |
3.42 |
48.78 ± 5.08 / 26.81 ± 3.42 |
76.09 ± 1.23 / 74.78 ± 1.97 |
2.53 ± 2.80 / 47.37 ± 2.29 |
48.93 ± 0.97 / 55.09 ± 0.85 |
57.49 ± 2.27 / 16.17 ± 0.78 |
1.28 ± 1.28 / 23.12 ± 0.63 |
1.27 ± 0.61 / 25.74 ± 0.70 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| meta-llama/Llama-3.2-1B-Instruct (few-shot) |
1236 |
128 |
131073 |
False |
7,436 ± 1,846 / 1,508 ± 479 |
3.44 |
41.60 ± 2.74 / 37.22 ± 3.26 |
71.86 ± 2.01 / 71.15 ± 2.16 |
3.72 ± 1.40 / 48.04 ± 1.96 |
43.57 ± 1.35 / 52.90 ± 1.42 |
56.69 ± 0.79 / 13.27 ± 0.37 |
14.64 ± 0.91 / 35.56 ± 0.80 |
3.10 ± 0.87 / 26.60 ± 0.68 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| LumiOpen/Viking-13B (few-shot) |
14030 |
131 |
4097 |
True |
840 ± 79 / 400 ± 124 |
3.45 |
31.55 ± 4.67 / 18.37 ± 2.73 |
78.66 ± 1.03 / 78.34 ± 1.13 |
5.69 ± 2.24 / 44.98 ± 3.55 |
52.93 ± 1.30 / 57.87 ± 1.27 |
60.05 ± 1.20 / 13.94 ± 0.43 |
1.32 ± 1.02 / 23.28 ± 0.65 |
0.35 ± 0.66 / 25.33 ± 0.66 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| stabilityai/stablelm-2-1_6b (few-shot) |
1645 |
100 |
4096 |
True |
7,259 ± 2,120 / 1,240 ± 432 |
3.45 |
38.00 ± 4.39 / 29.74 ± 5.04 |
75.15 ± 0.55 / 61.46 ± 0.82 |
1.04 ± 2.08 / 34.49 ± 1.17 |
53.11 ± 0.53 / 58.91 ± 0.32 |
55.63 ± 1.02 / 13.45 ± 0.61 |
8.72 ± 0.93 / 30.92 ± 0.72 |
3.19 ± 0.62 / 26.88 ± 0.62 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
12.10.8 |
| ibm-granite/granite-3.0-3b-a800m-base (few-shot) |
3374 |
49 |
4096 |
True |
10,504 ± 3,028 / 1,678 ± 559 |
3.48 |
36.01 ± 3.07 / 24.61 ± 4.22 |
57.18 ± 5.33 / 62.72 ± 5.30 |
1.52 ± 2.14 / 38.30 ± 3.62 |
51.04 ± 0.95 / 56.97 ± 0.96 |
58.57 ± 0.73 / 15.09 ± 0.29 |
13.42 ± 0.96 / 34.81 ± 0.72 |
7.33 ± 1.70 / 29.31 ± 1.45 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot) |
7111 |
64 |
2048 |
True |
2,383 ± 451 / 718 ± 221 |
3.51 |
14.58 ± 1.30 / 14.79 ± 1.27 |
56.60 ± 3.37 / 62.73 ± 3.61 |
10.92 ± 1.83 / 52.63 ± 2.98 |
50.18 ± 0.54 / 57.90 ± 0.53 |
64.89 ± 0.15 / 18.79 ± 0.22 |
6.16 ± 0.81 / 28.35 ± 0.97 |
10.90 ± 0.86 / 32.01 ± 0.54 |
9.2.0 |
9.2.0 |
9.2.0 |
12.4.0 |
12.4.0 |
9.2.0 |
9.3.1 |
| google/gemma-2b (few-shot) |
2506 |
256 |
8192 |
True |
6,087 ± 1,046 / 1,902 ± 563 |
3.52 |
14.67 ± 4.71 / 14.85 ± 3.77 |
75.45 ± 1.10 / 64.08 ± 1.47 |
3.82 ± 1.23 / 44.81 ± 3.55 |
51.73 ± 0.88 / 57.35 ± 0.82 |
59.72 ± 1.46 / 15.26 ± 0.64 |
10.98 ± 0.98 / 31.92 ± 0.80 |
4.24 ± 0.47 / 27.53 ± 0.44 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
| utter-project/EuroLLM-1.7B-Instruct (few-shot) |
1657 |
128 |
4096 |
True |
15,009 ± 4,072 / 2,702 ± 878 |
3.53 |
27.41 ± 2.70 / 24.45 ± 3.82 |
72.24 ± 0.82 / 68.89 ± 2.63 |
0.13 ± 1.85 / 36.22 ± 3.14 |
49.77 ± 0.63 / 56.59 ± 0.54 |
63.23 ± 0.51 / 17.40 ± 0.45 |
3.39 ± 0.48 / 25.11 ± 0.71 |
0.54 ± 0.72 / 25.45 ± 0.45 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| HuggingFaceTB/SmolLM2-1.7B (few-shot) |
1711 |
49 |
8192 |
True |
16,249 ± 3,690 / 3,689 ± 1,226 |
3.55 |
35.96 ± 3.50 / 26.41 ± 4.11 |
68.31 ± 1.43 / 72.51 ± 1.03 |
3.61 ± 1.79 / 49.47 ± 1.68 |
43.26 ± 1.85 / 49.32 ± 1.97 |
57.04 ± 0.95 / 13.24 ± 1.09 |
10.86 ± 1.20 / 31.65 ± 1.09 |
2.53 ± 0.98 / 26.17 ± 0.78 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| ibm-granite/granite-7b-base (few-shot) |
6738 |
32 |
2048 |
True |
4,405 ± 1,098 / 1,032 ± 345 |
3.55 |
33.34 ± 3.41 / 30.50 ± 3.44 |
72.00 ± 1.15 / 69.12 ± 2.00 |
0.25 ± 1.72 / 43.46 ± 3.96 |
52.53 ± 1.03 / 57.96 ± 0.98 |
52.86 ± 1.75 / 11.38 ± 0.57 |
11.71 ± 0.83 / 32.71 ± 0.95 |
0.81 ± 0.88 / 25.27 ± 0.59 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.8 |
12.10.8 |
12.10.8 |
| HPLT/gpt-33b-nordic-prerelease (few-shot) |
33119 |
131 |
4099 |
True |
501 ± 50 / 238 ± 69 |
3.58 |
33.61 ± 6.02 / 22.18 ± 4.32 |
76.75 ± 1.17 / 74.66 ± 1.20 |
1.66 ± 1.36 / 33.60 ± 0.30 |
50.68 ± 1.94 / 56.96 ± 1.73 |
56.37 ± 1.71 / 12.78 ± 0.63 |
-0.31 ± 0.91 / 25.20 ± 0.62 |
-0.04 ± 0.62 / 25.05 ± 0.50 |
12.9.1 |
12.9.1 |
12.10.0 |
12.10.0 |
12.10.0 |
12.10.0 |
12.10.0 |
| LumiOpen/Viking-7B (few-shot) |
7550 |
131 |
4096 |
True |
4,969 ± 1,109 / 1,134 ± 374 |
3.58 |
30.64 ± 4.19 / 23.90 ± 3.44 |
72.02 ± 3.18 / 72.36 ± 3.96 |
1.08 ± 1.36 / 38.63 ± 3.03 |
48.72 ± 1.05 / 54.59 ± 1.10 |
57.93 ± 2.32 / 13.16 ± 1.05 |
1.14 ± 0.79 / 22.39 ± 0.53 |
1.13 ± 1.01 / 25.61 ± 0.65 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| HPLT/gpt-13b-nordic-prerelease (few-shot) |
14030 |
131 |
4099 |
True |
3,520 ± 736 / 823 ± 273 |
3.59 |
32.19 ± 4.64 / 24.93 ± 4.09 |
72.26 ± 6.90 / 72.58 ± 5.87 |
2.39 ± 1.29 / 48.49 ± 2.46 |
48.92 ± 2.28 / 53.44 ± 2.49 |
57.46 ± 1.64 / 13.21 ± 0.57 |
-0.49 ± 0.50 / 25.03 ± 0.45 |
0.50 ± 1.04 / 25.50 ± 0.72 |
12.6.1 |
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 |
3.59 |
37.37 ± 1.87 / 26.31 ± 3.34 |
64.46 ± 3.06 / 69.83 ± 2.00 |
4.49 ± 1.96 / 46.63 ± 4.39 |
43.92 ± 1.06 / 49.57 ± 1.17 |
54.50 ± 1.26 / 12.92 ± 0.48 |
8.61 ± 1.25 / 29.95 ± 1.28 |
4.51 ± 0.96 / 27.64 ± 0.87 |
13.1.0 |
13.1.0 |
13.1.0 |
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 |
3.60 |
19.04 ± 2.67 / 19.98 ± 2.64 |
73.34 ± 1.34 / 68.41 ± 2.31 |
2.90 ± 1.74 / 44.43 ± 4.49 |
47.45 ± 0.58 / 54.69 ± 0.56 |
63.33 ± 0.86 / 17.11 ± 0.61 |
0.65 ± 1.12 / 25.94 ± 0.76 |
-0.18 ± 0.36 / 24.70 ± 0.60 |
12.5.2 |
9.3.1 |
12.1.0 |
12.4.0 |
12.4.0 |
12.1.0 |
12.1.0 |
| ibm-granite/granite-7b-instruct (few-shot) |
6738 |
32 |
4096 |
True |
3,136 ± 558 / 942 ± 290 |
3.62 |
29.08 ± 2.82 / 25.68 ± 3.52 |
65.51 ± 1.71 / 69.73 ± 1.24 |
0.50 ± 1.34 / 45.71 ± 2.55 |
46.52 ± 0.88 / 54.03 ± 0.77 |
56.02 ± 4.77 / 14.46 ± 1.28 |
8.00 ± 0.88 / 30.22 ± 0.72 |
5.76 ± 1.24 / 28.68 ± 1.21 |
13.2.0 |
13.0.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| NorwAI/NorwAI-Mistral-7B-instruct (few-shot) |
7537 |
68 |
4065 |
False |
3,027 ± 503 / 903 ± 296 |
3.63 |
20.97 ± 2.51 / 16.21 ± 2.03 |
77.76 ± 0.75 / 67.99 ± 2.31 |
2.35 ± 1.63 / 38.48 ± 1.53 |
28.65 ± 2.11 / 38.84 ± 1.85 |
63.75 ± 0.70 / 17.94 ± 0.22 |
9.17 ± 0.61 / 31.89 ± 0.41 |
3.98 ± 1.37 / 26.35 ± 1.13 |
12.10.5 |
12.10.4 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| ibm-granite/granite-3b-code-base-2k (few-shot) |
3483 |
49 |
2048 |
True |
2,732 ± 868 / 662 ± 238 |
3.63 |
51.76 ± 4.53 / 41.73 ± 6.65 |
70.61 ± 1.12 / 60.47 ± 1.13 |
6.24 ± 3.11 / 46.34 ± 5.43 |
44.67 ± 1.34 / 50.56 ± 1.33 |
41.31 ± 2.13 / 7.20 ± 1.44 |
7.41 ± 0.75 / 30.14 ± 0.39 |
5.42 ± 0.79 / 29.15 ± 0.59 |
13.0.0 |
13.0.0 |
13.0.0 |
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 |
3.65 |
50.10 ± 4.30 / 42.80 ± 5.47 |
65.67 ± 3.92 / 64.00 ± 3.84 |
4.55 ± 2.18 / 45.11 ± 4.32 |
42.83 ± 1.02 / 49.35 ± 1.09 |
45.16 ± 0.70 / 11.84 ± 0.27 |
7.58 ± 0.88 / 28.54 ± 0.85 |
3.79 ± 0.85 / 27.39 ± 0.57 |
13.0.0 |
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 |
3.67 |
37.26 ± 4.28 / 29.89 ± 5.96 |
5.20 ± 7.35 / 30.65 ± 4.97 |
1.85 ± 1.54 / 33.71 ± 0.46 |
54.15 ± 0.58 / 60.15 ± 0.59 |
58.24 ± 1.76 / 16.02 ± 0.88 |
22.04 ± 0.60 / 41.36 ± 0.54 |
14.76 ± 1.28 / 35.27 ± 1.32 |
12.5.2 |
9.3.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
| Qwen/Qwen1.5-1.8B-Chat (few-shot) |
1837 |
152 |
32768 |
False |
8,304 ± 1,846 / 1,933 ± 617 |
3.69 |
20.94 ± 3.73 / 18.26 ± 2.84 |
52.54 ± 3.33 / 60.44 ± 3.13 |
0.34 ± 1.22 / 36.61 ± 1.57 |
43.55 ± 1.14 / 50.53 ± 1.40 |
61.19 ± 0.69 / 15.92 ± 0.24 |
10.74 ± 0.92 / 32.65 ± 0.68 |
4.83 ± 0.62 / 28.76 ± 0.55 |
12.5.2 |
11.0.0 |
12.1.0 |
12.5.0 |
12.5.0 |
12.1.0 |
12.1.0 |
| meta-llama/Llama-3.2-1B (few-shot) |
1236 |
128 |
131073 |
True |
7,577 ± 1,884 / 1,555 ± 492 |
3.69 |
29.89 ± 7.13 / 27.65 ± 6.45 |
74.33 ± 1.07 / 73.73 ± 1.77 |
1.06 ± 1.79 / 43.95 ± 3.08 |
46.89 ± 2.72 / 52.70 ± 3.39 |
52.06 ± 2.11 / 12.53 ± 0.81 |
0.93 ± 1.44 / 26.10 ± 1.04 |
0.09 ± 1.37 / 24.84 ± 0.69 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| AI-Sweden-Models/gpt-sw3-6.7b (few-shot) |
7111 |
64 |
2048 |
True |
2,285 ± 443 / 671 ± 205 |
3.73 |
18.83 ± 6.41 / 17.59 ± 4.55 |
53.68 ± 10.39 / 58.92 ± 10.87 |
3.49 ± 2.20 / 46.13 ± 4.13 |
49.81 ± 0.70 / 55.99 ± 0.69 |
61.05 ± 1.33 / 15.89 ± 0.85 |
1.22 ± 0.65 / 26.19 ± 0.64 |
0.60 ± 1.34 / 25.62 ± 0.72 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
11.0.0 |
| AI-Sweden-Models/gpt-sw3-1.3b (few-shot) |
1445 |
64 |
2048 |
True |
4,608 ± 988 / 1,115 ± 354 |
3.75 |
6.08 ± 5.75 / 8.77 ± 4.46 |
71.38 ± 1.76 / 73.21 ± 1.18 |
1.17 ± 1.07 / 49.78 ± 0.86 |
45.55 ± 0.85 / 51.69 ± 0.79 |
60.11 ± 1.59 / 15.02 ± 0.84 |
2.20 ± 0.88 / 25.62 ± 0.86 |
0.67 ± 1.39 / 25.25 ± 0.51 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
11.0.0 |
9.3.1 |
9.3.1 |
| HPLT/gpt-7b-nordic-prerelease (few-shot) |
7550 |
131 |
4096 |
True |
5,404 ± 931 / 1,638 ± 542 |
3.76 |
27.07 ± 6.33 / 25.24 ± 4.89 |
61.96 ± 2.69 / 67.81 ± 2.27 |
2.65 ± 1.46 / 40.25 ± 4.08 |
46.16 ± 0.91 / 52.35 ± 0.87 |
55.11 ± 1.21 / 12.07 ± 0.32 |
0.32 ± 0.43 / 21.99 ± 0.56 |
-0.00 ± 0.01 / 25.00 ± 0.77 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
| Qwen/Qwen1.5-1.8B (few-shot) |
1837 |
152 |
32768 |
True |
5,666 ± 1,328 / 1,256 ± 408 |
3.77 |
18.01 ± 6.41 / 18.55 ± 4.65 |
51.91 ± 4.78 / 59.44 ± 4.65 |
1.49 ± 1.95 / 40.76 ± 4.07 |
44.83 ± 0.63 / 51.87 ± 0.72 |
54.82 ± 1.62 / 14.43 ± 0.68 |
11.54 ± 0.73 / 32.55 ± 0.60 |
7.19 ± 1.40 / 29.76 ± 1.22 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
| ibm-granite/granite-3.0-1b-a400m-instruct (few-shot) |
1335 |
49 |
4096 |
True |
7,964 ± 2,255 / 1,299 ± 433 |
3.83 |
33.80 ± 1.96 / 21.70 ± 3.21 |
58.78 ± 1.36 / 60.51 ± 1.88 |
0.72 ± 1.17 / 45.33 ± 3.14 |
35.45 ± 1.87 / 42.40 ± 2.14 |
56.70 ± 0.93 / 11.49 ± 0.89 |
2.09 ± 1.31 / 25.41 ± 0.88 |
-0.46 ± 1.10 / 24.84 ± 0.93 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| state-spaces/mamba-2.8b-hf (few-shot) |
2768 |
50 |
32769 |
True |
2,722 ± 495 / 766 ± 250 |
3.83 |
23.25 ± 1.99 / 20.55 ± 2.20 |
71.70 ± 1.09 / 71.01 ± 2.36 |
-0.82 ± 2.23 / 40.80 ± 4.30 |
40.48 ± 1.52 / 46.93 ± 1.61 |
54.39 ± 1.68 / 13.19 ± 0.61 |
-0.43 ± 1.13 / 24.95 ± 0.64 |
1.98 ± 0.99 / 26.14 ± 0.86 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
13.0.0 |
| AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot) |
471 |
64 |
2048 |
True |
5,855 ± 1,373 / 1,223 ± 391 |
3.90 |
14.84 ± 1.63 / 15.90 ± 1.71 |
59.00 ± 3.60 / 54.09 ± 1.46 |
0.06 ± 1.21 / 34.76 ± 1.15 |
34.37 ± 1.36 / 40.44 ± 1.53 |
61.28 ± 0.92 / 14.60 ± 0.79 |
0.48 ± 1.07 / 23.44 ± 0.67 |
0.33 ± 0.50 / 25.01 ± 0.76 |
12.5.2 |
9.3.2 |
12.1.0 |
12.4.0 |
12.4.0 |
12.1.0 |
12.1.0 |
| mhenrichsen/danskgpt-tiny-chat (few-shot) |
1100 |
32 |
2048 |
False |
1,745 ± 978 / 686 ± 159 |
3.91 |
27.31 ± 4.23 / 26.33 ± 4.40 |
45.94 ± 12.82 / 55.94 ± 8.25 |
-0.97 ± 1.64 / 36.69 ± 2.34 |
35.57 ± 2.45 / 41.66 ± 2.41 |
55.79 ± 0.24 / 10.61 ± 0.29 |
0.14 ± 1.02 / 24.76 ± 0.75 |
0.52 ± 0.83 / 25.53 ± 0.62 |
9.1.2 |
9.1.2 |
9.1.2 |
12.4.0 |
12.4.0 |
9.1.2 |
9.1.2 |
| allenai/OLMo-7B (few-shot) |
6888 |
50 |
2051 |
True |
5,403 ± 1,133 / 1,294 ± 423 |
3.92 |
37.36 ± 2.11 / 28.59 ± 3.03 |
72.08 ± 1.20 / 63.52 ± 3.36 |
-0.86 ± 1.61 / 33.84 ± 0.59 |
45.16 ± 0.96 / 51.46 ± 0.93 |
41.03 ± 0.33 / 4.86 ± 0.09 |
-0.83 ± 1.04 / 25.47 ± 0.54 |
-0.62 ± 0.73 / 24.51 ± 0.53 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| ibm-granite/granite-3.0-1b-a400m-base (few-shot) |
1385 |
49 |
4096 |
True |
7,808 ± 2,183 / 1,289 ± 428 |
3.96 |
23.26 ± 5.42 / 20.21 ± 4.72 |
55.06 ± 5.28 / 50.38 ± 3.13 |
1.81 ± 2.14 / 40.07 ± 4.45 |
35.49 ± 2.28 / 39.42 ± 2.19 |
54.80 ± 1.73 / 11.88 ± 0.60 |
-1.51 ± 0.67 / 21.83 ± 0.42 |
0.41 ± 0.57 / 25.25 ± 0.69 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
13.2.0 |
| RuterNorway/Llama-2-7b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
10,890 ± 2,686 / 2,186 ± 750 |
4.02 |
22.38 ± 3.00 / 22.09 ± 2.85 |
31.11 ± 12.17 / 36.84 ± 11.52 |
0.09 ± 0.67 / 33.42 ± 0.30 |
44.36 ± 1.34 / 50.14 ± 1.15 |
55.44 ± 0.79 / 12.95 ± 0.51 |
1.12 ± 0.42 / 25.27 ± 0.68 |
-0.91 ± 0.96 / 24.26 ± 0.64 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
11.0.0 |
9.3.1 |
9.3.1 |
| allenai/OLMo-7B-Twin-2T (few-shot) |
6888 |
50 |
2051 |
True |
5,484 ± 1,125 / 1,317 ± 425 |
4.03 |
20.49 ± 7.78 / 19.50 ± 6.82 |
70.04 ± 2.28 / 60.77 ± 3.00 |
2.28 ± 1.77 / 36.86 ± 3.97 |
45.85 ± 1.19 / 51.08 ± 1.21 |
39.53 ± 0.34 / 5.71 ± 0.10 |
0.69 ± 0.90 / 24.20 ± 0.89 |
0.12 ± 1.51 / 24.97 ± 1.28 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| Qwen/Qwen1.5-0.5B (few-shot) |
620 |
152 |
32768 |
True |
11,371 ± 2,924 / 2,122 ± 692 |
4.07 |
28.96 ± 2.39 / 26.49 ± 3.14 |
26.58 ± 5.12 / 28.64 ± 5.35 |
-1.88 ± 1.46 / 35.45 ± 2.92 |
34.59 ± 1.06 / 40.95 ± 1.11 |
53.36 ± 1.44 / 12.82 ± 0.58 |
6.52 ± 1.02 / 28.83 ± 0.78 |
1.91 ± 1.30 / 26.10 ± 0.65 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
| google/gemma-2b-it (few-shot) |
2506 |
256 |
8192 |
False |
6,471 ± 1,142 / 1,961 ± 584 |
4.07 |
33.51 ± 2.12 / 23.48 ± 2.69 |
43.97 ± 1.64 / 57.41 ± 1.18 |
0.53 ± 1.09 / 39.60 ± 1.99 |
39.39 ± 1.04 / 47.28 ± 1.02 |
40.55 ± 6.41 / 11.10 ± 1.63 |
11.06 ± 0.98 / 31.69 ± 0.81 |
1.03 ± 0.85 / 25.55 ± 0.60 |
12.5.2 |
12.1.0 |
12.1.0 |
12.4.0 |
12.4.0 |
12.1.0 |
12.1.0 |
| NbAiLab/nb-gpt-j-6B-alpaca (few-shot) |
6055 |
50 |
1024 |
False |
2,607 ± 592 / 680 ± 208 |
4.13 |
13.28 ± 4.32 / 13.40 ± 2.95 |
60.17 ± 8.39 / 65.99 ± 4.66 |
1.52 ± 1.94 / 45.19 ± 3.80 |
37.23 ± 1.07 / 46.83 ± 0.82 |
46.68 ± 0.33 / 12.40 ± 0.17 |
-0.03 ± 1.31 / 23.73 ± 1.11 |
0.02 ± 0.88 / 25.04 ± 0.61 |
9.3.1 |
10.0.1 |
10.0.1 |
12.4.0 |
12.4.0 |
10.0.1 |
10.0.1 |
| Qwen/Qwen1.5-0.5B-Chat (few-shot) |
620 |
152 |
32768 |
False |
11,740 ± 3,000 / 2,209 ± 721 |
4.14 |
18.57 ± 4.62 / 17.69 ± 4.61 |
40.23 ± 5.86 / 49.01 ± 4.77 |
0.21 ± 1.06 / 39.60 ± 3.61 |
29.49 ± 2.47 / 35.01 ± 2.72 |
53.29 ± 6.52 / 13.04 ± 1.68 |
2.59 ± 0.72 / 26.87 ± 0.72 |
-0.84 ± 1.01 / 24.44 ± 0.61 |
12.5.2 |
11.0.0 |
12.1.0 |
12.4.0 |
12.5.0 |
12.1.0 |
12.1.0 |
| AI-Sweden-Models/gpt-sw3-356m (few-shot) |
471 |
64 |
2048 |
True |
5,758 ± 1,348 / 1,215 ± 391 |
4.17 |
23.77 ± 3.70 / 23.06 ± 3.46 |
34.29 ± 11.64 / 36.76 ± 7.46 |
1.57 ± 1.70 / 40.84 ± 1.99 |
33.70 ± 1.46 / 38.82 ± 1.54 |
51.36 ± 2.01 / 10.76 ± 0.54 |
-0.96 ± 1.08 / 21.85 ± 0.45 |
0.30 ± 0.48 / 25.10 ± 0.69 |
9.3.1 |
9.3.1 |
9.3.2 |
12.5.1 |
11.0.0 |
9.3.2 |
9.3.2 |
| mhenrichsen/danskgpt-tiny (few-shot) |
1100 |
32 |
2048 |
True |
8,597 ± 1,983 / 1,926 ± 600 |
4.22 |
23.92 ± 6.88 / 22.42 ± 6.73 |
31.93 ± 14.68 / 43.80 ± 8.79 |
0.46 ± 1.91 / 43.45 ± 3.64 |
30.81 ± 2.73 / 35.67 ± 2.95 |
52.68 ± 0.76 / 11.19 ± 0.36 |
-0.85 ± 1.05 / 24.38 ± 0.51 |
-1.24 ± 0.90 / 24.30 ± 0.63 |
0.0.0 |
0.0.0 |
0.0.0 |
12.5.1 |
11.0.0 |
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 |
4.29 |
23.05 ± 2.31 / 24.35 ± 1.99 |
12.47 ± 7.10 / 23.03 ± 8.78 |
0.08 ± 0.16 / 33.34 ± 0.30 |
20.43 ± 2.69 / 24.25 ± 2.67 |
59.80 ± 0.93 / 14.56 ± 0.36 |
0.72 ± 0.72 / 23.30 ± 0.96 |
0.11 ± 0.91 / 25.15 ± 0.81 |
9.3.2 |
9.3.2 |
11.0.0 |
12.4.0 |
12.4.0 |
11.0.0 |
11.0.0 |
| allenai/OLMo-1B (few-shot) |
1177 |
50 |
2051 |
True |
8,536 ± 1,926 / 1,940 ± 619 |
4.37 |
29.39 ± 3.08 / 29.93 ± 3.14 |
38.95 ± 11.78 / 43.61 ± 8.46 |
-1.35 ± 1.76 / 40.70 ± 4.25 |
17.85 ± 3.77 / 20.30 ± 4.04 |
43.75 ± 0.28 / 4.67 ± 0.12 |
-0.22 ± 0.80 / 23.76 ± 0.84 |
0.75 ± 1.00 / 25.27 ± 0.56 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
| HuggingFaceTB/SmolLM2-360M (few-shot) |
362 |
49 |
8192 |
True |
22,023 ± 6,203 / 3,675 ± 1,231 |
4.47 |
18.22 ± 1.75 / 17.97 ± 2.10 |
11.52 ± 7.20 / 29.30 ± 5.30 |
1.72 ± 1.21 / 34.96 ± 1.12 |
27.27 ± 3.03 / 31.25 ± 3.24 |
45.57 ± 0.97 / 9.20 ± 0.68 |
0.69 ± 0.65 / 22.10 ± 0.54 |
0.68 ± 0.79 / 25.25 ± 0.76 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| RJuro/kanelsnegl-v0.1 (few-shot) |
7242 |
32 |
512 |
True |
5,847 ± 1,029 / 1,640 ± 525 |
4.56 |
0.00 ± 0.00 / 0.00 ± 0.00 |
34.63 ± 9.69 / 40.92 ± 6.88 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 8.92 ± 2.90 |
59.04 ± 0.07 / 10.84 ± 0.09 |
-0.25 ± 0.97 / 21.96 ± 0.57 |
0.08 ± 0.78 / 24.93 ± 0.77 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
11.0.0 |
9.3.1 |
9.3.1 |
| RJuro/kanelsnegl-v0.2 (few-shot) |
7242 |
32 |
512 |
True |
1,373 ± 120 / 709 ± 172 |
4.58 |
0.00 ± 0.00 / 0.00 ± 0.00 |
28.62 ± 12.67 / 35.36 ± 8.35 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 19.59 ± 6.84 |
58.16 ± 0.07 / 8.81 ± 0.07 |
0.47 ± 0.86 / 22.03 ± 0.59 |
0.71 ± 0.64 / 25.02 ± 0.72 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
11.0.0 |
10.0.1 |
11.0.0 |
| HuggingFaceTB/SmolLM2-135M (few-shot) |
135 |
49 |
8192 |
True |
26,346 ± 7,812 / 4,082 ± 1,372 |
4.61 |
19.15 ± 1.75 / 20.52 ± 1.77 |
-3.03 ± 7.40 / 24.39 ± 3.87 |
0.06 ± 1.12 / 36.05 ± 2.59 |
14.18 ± 3.82 / 16.55 ± 4.25 |
51.51 ± 1.96 / 11.46 ± 0.73 |
0.02 ± 1.30 / 25.25 ± 0.94 |
0.04 ± 0.79 / 24.92 ± 0.73 |
13.1.0 |
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 |
4.63 |
5.66 ± 4.11 / 8.37 ± 3.24 |
8.15 ± 8.87 / 24.31 ± 7.12 |
-0.81 ± 1.16 / 36.81 ± 2.47 |
16.40 ± 2.88 / 19.18 ± 3.18 |
51.48 ± 1.14 / 10.63 ± 0.31 |
-0.49 ± 0.60 / 22.53 ± 0.75 |
1.17 ± 0.86 / 25.54 ± 0.87 |
9.2.0 |
9.2.0 |
9.2.0 |
12.5.1 |
11.0.0 |
9.2.0 |
9.2.0 |
| NorwAI/NorwAI-Mistral-7B-pretrain (few-shot) |
7537 |
68 |
4065 |
True |
3,024 ± 496 / 909 ± 301 |
4.63 |
9.75 ± 3.30 / 9.18 ± 3.19 |
17.76 ± 4.89 / 28.16 ± 7.50 |
1.22 ± 0.95 / 43.54 ± 3.79 |
14.98 ± 2.49 / 18.46 ± 2.99 |
48.74 ± 1.72 / 10.30 ± 0.36 |
-0.62 ± 1.15 / 22.04 ± 0.67 |
0.99 ± 1.35 / 25.36 ± 0.92 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
12.10.5 |
| HuggingFaceTB/SmolLM2-360M-Instruct (few-shot) |
362 |
49 |
8192 |
True |
21,777 ± 6,115 / 3,617 ± 1,211 |
4.73 |
13.64 ± 5.84 / 16.38 ± 4.06 |
9.34 ± 6.26 / 26.00 ± 3.56 |
2.20 ± 1.59 / 41.62 ± 3.37 |
26.06 ± 2.35 / 30.05 ± 2.29 |
37.49 ± 0.77 / 9.36 ± 0.25 |
-0.00 ± 0.96 / 22.03 ± 0.45 |
0.78 ± 1.51 / 25.50 ± 0.87 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
13.1.0 |
| HuggingFaceTB/SmolLM2-135M-Instruct (few-shot) |
135 |
49 |
8192 |
True |
25,602 ± 7,583 / 3,953 ± 1,325 |
4.81 |
17.09 ± 2.33 / 18.78 ± 2.11 |
7.41 ± 9.32 / 28.42 ± 3.18 |
0.47 ± 1.48 / 38.19 ± 3.61 |
11.73 ± 3.22 / 13.94 ± 3.48 |
38.30 ± 1.88 / 8.09 ± 0.47 |
0.30 ± 0.87 / 25.76 ± 0.77 |
0.06 ± 1.19 / 24.33 ± 0.53 |
13.1.0 |
13.1.0 |
13.1.0 |
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 |
4.91 |
0.31 ± 0.55 / 0.29 ± 0.50 |
27.42 ± 12.16 / 38.74 ± 10.05 |
0.07 ± 1.06 / 35.80 ± 1.73 |
17.82 ± 11.21 / 31.12 ± 8.39 |
27.09 ± 0.29 / 6.80 ± 0.12 |
-0.67 ± 0.81 / 22.55 ± 0.71 |
0.86 ± 0.82 / 25.38 ± 0.51 |
9.3.1 |
10.0.1 |
11.0.0 |
12.5.1 |
11.0.0 |
11.0.0 |
11.0.0 |
| peter-sk/gpt-neox-da (few-shot) |
1515 |
50 |
1024 |
True |
6,025 ± 1,442 / 1,342 ± 431 |
4.98 |
0.26 ± 0.16 / 0.26 ± 0.14 |
4.75 ± 2.54 / 27.85 ± 1.59 |
-0.60 ± 1.56 / 40.53 ± 2.93 |
0.06 ± 0.09 / 1.07 ± 0.35 |
41.84 ± 0.24 / 5.74 ± 0.09 |
-0.41 ± 1.39 / 24.48 ± 0.97 |
0.52 ± 0.81 / 25.32 ± 0.65 |
10.0.1 |
10.0.1 |
10.0.1 |
10.0.1 |
11.0.0 |
10.0.1 |
10.0.1 |
| NbAiLab/nb-gpt-j-6B@sharded (few-shot) |
unknown |
50 |
1024 |
True |
2,630 ± 605 / 684 ± 217 |
5.06 |
0.01 ± 0.02 / 0.11 ± 0.12 |
33.50 ± 13.13 / 39.30 ± 11.93 |
-0.02 ± 0.60 / 34.92 ± 2.99 |
4.79 ± 3.55 / 18.06 ± 2.80 |
26.97 ± 0.41 / 6.56 ± 0.18 |
-0.11 ± 1.16 / 23.32 ± 0.92 |
0.56 ± 1.22 / 24.79 ± 0.91 |
9.3.1 |
10.0.1 |
10.0.1 |
12.5.1 |
11.0.0 |
10.0.1 |
10.0.1 |
| NorGLM/NorGPT-369M (few-shot) |
unknown |
64 |
1024 |
True |
19,896 ± 5,099 / 3,848 ± 1,251 |
5.07 |
1.47 ± 1.90 / 1.32 ± 1.69 |
5.50 ± 4.49 / 28.77 ± 3.76 |
-2.19 ± 1.29 / 40.52 ± 3.02 |
0.10 ± 0.06 / 4.36 ± 0.44 |
37.40 ± 0.61 / 6.53 ± 0.13 |
-0.53 ± 1.01 / 24.38 ± 1.08 |
0.25 ± 1.22 / 25.23 ± 0.73 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
| ssmits/Falcon2-5.5B-multilingual (few-shot) |
5465 |
65 |
8192 |
True |
7,692 ± 1,423 / 1,960 ± 644 |
5.10 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 19.16 ± 0.14 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 0.00 ± 0.00 |
40.82 ± 1.17 / 0.34 ± 0.05 |
1.19 ± 1.32 / 24.74 ± 1.06 |
1.55 ± 0.84 / 25.30 ± 0.69 |
13.0.0 |
13.0.0 |
13.0.0 |
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 |
5.17 |
0.00 ± 0.00 / 0.00 ± 0.00 |
-3.60 ± 3.63 / 20.29 ± 1.99 |
0.00 ± 0.00 / 33.30 ± 0.27 |
0.00 ± 0.00 / 0.05 ± 0.03 |
39.68 ± 0.08 / 1.23 ± 0.02 |
-0.20 ± 0.77 / 24.13 ± 0.67 |
-0.25 ± 0.67 / 24.68 ± 0.44 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
| ai-forever/mGPT (few-shot) |
unknown |
100 |
1024 |
True |
11,734 ± 3,124 / 2,174 ± 720 |
5.20 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 19.32 ± 0.16 |
0.49 ± 1.29 / 39.12 ± 3.92 |
6.24 ± 3.13 / 7.85 ± 3.67 |
31.89 ± 0.27 / 2.03 ± 0.10 |
-0.37 ± 1.08 / 22.43 ± 0.55 |
0.36 ± 0.83 / 25.08 ± 0.77 |
9.3.1 |
10.0.1 |
11.0.0 |
12.5.1 |
12.0.0 |
11.0.0 |
11.0.0 |