meta-llama/Meta-Llama-3-70B (few-shot, val) |
70554 |
128 |
8221 |
True |
312 ± 55 / 177 ± 51 |
1.24 |
69.04 ± 2.51 / 61.10 ± 3.39 |
63.51 ± 2.57 / 75.01 ± 1.74 |
37.41 ± 2.43 / 67.63 ± 1.05 |
38.29 ± 3.54 / 69.69 ± 2.78 |
70.00 ± 1.41 / 29.78 ± 3.58 |
64.93 ± 2.76 / 73.71 ± 2.07 |
66.54 ± 4.29 / 74.45 ± 3.24 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
gpt-4-1106-preview (few-shot, val) |
unknown |
100 |
127998 |
True |
576 ± 221 / 81 ± 28 |
1.37 |
68.94 ± 2.50 / 44.89 ± 2.85 |
57.46 ± 3.32 / 69.93 ± 2.43 |
49.58 ± 7.26 / 74.12 ± 3.50 |
30.04 ± 1.30 / 58.77 ± 1.50 |
63.62 ± 0.65 / 13.08 ± 0.87 |
58.81 ± 2.30 / 68.20 ± 1.71 |
81.81 ± 3.23 / 86.13 ± 2.50 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val) |
70554 |
128 |
8221 |
True |
1,673 ± 583 / 275 ± 85 |
1.42 |
75.20 ± 2.15 / 64.06 ± 3.60 |
54.38 ± 3.31 / 68.02 ± 2.21 |
36.59 ± 4.24 / 67.36 ± 1.77 |
26.90 ± 2.67 / 58.28 ± 2.22 |
68.63 ± 1.20 / 26.12 ± 3.00 |
62.69 ± 1.83 / 71.95 ± 1.40 |
69.18 ± 2.73 / 76.41 ± 2.08 |
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 |
1.46 |
68.11 ± 1.32 / 56.25 ± 1.65 |
59.79 ± 1.60 / 71.47 ± 1.54 |
35.45 ± 3.06 / 66.13 ± 1.28 |
37.27 ± 1.23 / 68.54 ± 1.94 |
69.31 ± 0.95 / 28.82 ± 2.24 |
41.20 ± 0.85 / 55.90 ± 0.66 |
72.65 ± 0.69 / 79.18 ± 0.58 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
152334H/miqu-1-70b-sf (few-shot, val) |
68977 |
32 |
32793 |
True |
2,126 ± 676 / 319 ± 104 |
1.54 |
65.19 ± 2.58 / 56.17 ± 3.57 |
59.80 ± 2.15 / 71.98 ± 1.46 |
41.86 ± 5.44 / 69.70 ± 2.31 |
25.51 ± 3.79 / 63.19 ± 2.48 |
66.80 ± 0.76 / 20.65 ± 1.59 |
55.18 ± 3.35 / 66.48 ± 2.49 |
61.68 ± 3.07 / 70.78 ± 2.37 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
meta-llama/Llama-2-70b-hf (few-shot, val) |
68977 |
32 |
4125 |
True |
1,892 ± 650 / 318 ± 105 |
1.58 |
63.71 ± 2.43 / 57.08 ± 2.70 |
58.17 ± 2.51 / 71.34 ± 1.62 |
36.33 ± 5.00 / 64.51 ± 3.38 |
36.06 ± 2.89 / 69.62 ± 2.81 |
69.82 ± 1.03 / 30.79 ± 2.46 |
46.44 ± 2.49 / 59.88 ± 1.74 |
48.89 ± 2.85 / 61.33 ± 2.06 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
Nexusflow/Starling-LM-7B-beta (few-shot) |
7242 |
32 |
8192 |
False |
5,876 ± 1,021 / 1,677 ± 546 |
1.77 |
65.01 ± 0.68 / 43.34 ± 2.80 |
51.80 ± 1.29 / 67.45 ± 0.87 |
36.18 ± 1.31 / 67.86 ± 0.51 |
32.12 ± 2.08 / 67.30 ± 1.66 |
66.92 ± 0.41 / 23.23 ± 1.24 |
37.90 ± 1.03 / 53.36 ± 0.80 |
60.66 ± 1.28 / 70.32 ± 1.01 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
VAGOsolutions/SauerkrautLM-7b-LaserChat (few-shot) |
7242 |
32 |
8192 |
False |
2,387 ± 456 / 717 ± 226 |
1.77 |
64.73 ± 1.02 / 48.09 ± 2.90 |
51.08 ± 1.67 / 67.20 ± 1.34 |
36.46 ± 1.89 / 67.99 ± 0.80 |
33.30 ± 1.87 / 67.32 ± 1.73 |
66.30 ± 0.24 / 21.71 ± 0.72 |
38.13 ± 1.08 / 53.46 ± 0.82 |
58.71 ± 1.26 / 68.77 ± 1.01 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
VAGOsolutions/SauerkrautLM-7b-HerO (few-shot, val) |
7242 |
32 |
32768 |
False |
2,477 ± 467 / 744 ± 232 |
1.90 |
59.70 ± 2.05 / 50.40 ± 2.63 |
60.22 ± 2.99 / 72.76 ± 2.10 |
35.99 ± 4.53 / 67.21 ± 2.14 |
29.68 ± 3.29 / 65.65 ± 3.10 |
66.73 ± 0.80 / 21.40 ± 1.87 |
30.53 ± 2.51 / 47.62 ± 1.82 |
45.02 ± 2.33 / 57.93 ± 1.79 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
gpt-3.5-turbo-0613 (few-shot, val) |
unknown |
100 |
4095 |
True |
921 ± 293 / 113 ± 37 |
1.90 |
61.50 ± 2.96 / 46.22 ± 3.41 |
55.50 ± 2.58 / 68.96 ± 2.00 |
38.96 ± 4.39 / 68.89 ± 2.54 |
30.20 ± 1.59 / 56.58 ± 1.78 |
64.90 ± 0.22 / 15.99 ± 0.32 |
35.39 ± 3.89 / 51.41 ± 2.98 |
56.88 ± 2.50 / 66.76 ± 2.02 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
0.0.0 |
cstr/Spaetzle-v8-7b (few-shot, val) |
7242 |
32 |
32768 |
False |
5,980 ± 1,031 / 1,714 ± 552 |
1.92 |
58.90 ± 2.30 / 45.55 ± 3.30 |
61.34 ± 1.90 / 72.98 ± 1.30 |
31.58 ± 4.39 / 65.51 ± 2.23 |
24.91 ± 3.98 / 60.88 ± 3.31 |
67.25 ± 1.06 / 22.95 ± 2.64 |
34.62 ± 2.20 / 50.43 ± 1.52 |
48.70 ± 2.47 / 61.05 ± 1.79 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
mlabonne/NeuralBeagle14-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
2,549 ± 472 / 784 ± 245 |
1.93 |
64.81 ± 3.03 / 53.01 ± 3.41 |
59.60 ± 2.81 / 72.42 ± 1.83 |
27.06 ± 4.53 / 63.33 ± 2.30 |
25.22 ± 3.84 / 60.93 ± 2.99 |
67.31 ± 1.05 / 24.72 ± 2.95 |
35.84 ± 2.16 / 51.64 ± 1.56 |
49.13 ± 2.71 / 61.68 ± 2.03 |
9.3.2 |
9.3.2 |
9.3.2 |
12.5.2 |
9.3.2 |
9.3.2 |
9.3.2 |
meta-llama/Meta-Llama-3-8B-Instruct (few-shot) |
8030 |
128 |
8192 |
True |
4,909 ± 1,215 / 978 ± 319 |
1.97 |
68.18 ± 0.95 / 57.72 ± 1.15 |
58.33 ± 2.83 / 69.31 ± 3.16 |
29.12 ± 3.17 / 63.60 ± 1.63 |
28.68 ± 1.99 / 56.42 ± 3.34 |
65.23 ± 0.49 / 16.56 ± 0.94 |
38.44 ± 0.81 / 53.38 ± 0.60 |
37.69 ± 1.00 / 51.24 ± 0.73 |
12.6.1 |
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 |
1.99 |
56.00 ± 1.94 / 43.49 ± 2.05 |
56.40 ± 3.89 / 70.17 ± 2.91 |
22.01 ± 5.17 / 56.97 ± 3.54 |
35.39 ± 2.49 / 64.61 ± 2.42 |
68.92 ± 0.99 / 26.93 ± 2.01 |
38.12 ± 0.75 / 53.52 ± 0.56 |
31.37 ± 1.37 / 47.65 ± 1.09 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
VAGOsolutions/FC-SauerkrautLM-7b-beta (few-shot) |
unknown |
32 |
8192 |
False |
2,160 ± 514 / 668 ± 256 |
2.01 |
56.70 ± 1.55 / 41.89 ± 2.00 |
53.39 ± 1.89 / 67.16 ± 1.65 |
35.64 ± 1.50 / 66.83 ± 0.97 |
34.22 ± 1.43 / 67.00 ± 1.27 |
64.79 ± 0.22 / 17.18 ± 0.74 |
32.85 ± 0.79 / 49.55 ± 0.59 |
39.00 ± 2.60 / 53.77 ± 2.03 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
meta-llama/Llama-2-70b-chat-hf (few-shot, val) |
68977 |
32 |
4125 |
True |
1,979 ± 621 / 320 ± 105 |
2.03 |
62.39 ± 2.72 / 50.86 ± 2.31 |
53.16 ± 3.17 / 64.24 ± 3.42 |
31.81 ± 5.15 / 62.15 ± 4.02 |
28.99 ± 2.22 / 60.53 ± 2.92 |
66.98 ± 0.87 / 22.66 ± 2.41 |
35.72 ± 3.05 / 51.99 ± 2.09 |
35.26 ± 3.73 / 50.59 ± 3.17 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
senseable/WestLake-7B-v2 (few-shot) |
7242 |
32 |
32768 |
False |
5,993 ± 1,028 / 1,742 ± 561 |
2.04 |
64.38 ± 1.60 / 50.26 ± 2.53 |
54.44 ± 1.45 / 69.32 ± 1.02 |
26.03 ± 2.23 / 61.88 ± 1.38 |
25.68 ± 2.81 / 62.48 ± 2.93 |
68.16 ± 0.95 / 24.52 ± 2.45 |
33.84 ± 1.54 / 50.24 ± 1.19 |
50.99 ± 0.99 / 63.11 ± 0.75 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
mlabonne/AlphaMonarch-7B (few-shot, val) |
7242 |
32 |
8192 |
False |
5,340 ± 1,262 / 1,157 ± 375 |
2.05 |
63.36 ± 2.68 / 51.59 ± 3.44 |
59.80 ± 3.18 / 72.32 ± 2.23 |
22.98 ± 8.11 / 60.88 ± 3.98 |
20.96 ± 3.59 / 57.36 ± 2.94 |
67.58 ± 1.11 / 24.69 ± 2.94 |
36.08 ± 1.55 / 51.68 ± 1.14 |
47.99 ± 2.87 / 60.55 ± 2.08 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
occiglot/occiglot-7b-de-en-instruct (few-shot) |
7242 |
32 |
32768 |
False |
1,584 ± 217 / 635 ± 178 |
2.06 |
55.76 ± 1.16 / 40.04 ± 3.21 |
55.91 ± 2.49 / 70.31 ± 1.76 |
22.47 ± 3.37 / 56.77 ± 3.69 |
35.95 ± 1.89 / 66.86 ± 2.33 |
68.08 ± 0.49 / 25.46 ± 1.45 |
33.77 ± 0.86 / 49.44 ± 0.57 |
33.15 ± 1.86 / 48.23 ± 1.64 |
12.5.2 |
12.3.1 |
12.3.1 |
12.4.0 |
12.4.0 |
12.3.1 |
12.3.1 |
alpindale/Mistral-7B-v0.2-hf (few-shot) |
7242 |
32 |
32768 |
True |
1,841 ± 297 / 651 ± 193 |
2.14 |
55.32 ± 1.55 / 48.33 ± 1.45 |
52.49 ± 2.16 / 67.50 ± 1.61 |
24.34 ± 2.29 / 59.66 ± 2.93 |
31.54 ± 3.00 / 59.96 ± 3.89 |
68.98 ± 1.14 / 28.30 ± 2.36 |
35.12 ± 0.59 / 51.23 ± 0.46 |
28.89 ± 1.81 / 45.85 ± 1.47 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
mistralai/Mistral-7B-v0.1 (few-shot) |
7242 |
32 |
32768 |
True |
2,657 ± 524 / 880 ± 278 |
2.15 |
55.37 ± 1.32 / 44.65 ± 2.48 |
54.27 ± 1.71 / 68.13 ± 1.16 |
23.12 ± 4.07 / 57.81 ± 3.70 |
31.89 ± 3.29 / 59.77 ± 4.31 |
68.24 ± 0.70 / 25.71 ± 1.33 |
35.63 ± 1.12 / 51.69 ± 0.85 |
26.40 ± 1.86 / 43.98 ± 1.58 |
9.1.2 |
9.1.2 |
9.1.2 |
12.5.1 |
11.0.0 |
9.1.2 |
9.2.0 |
occiglot/occiglot-7b-de-en (few-shot) |
7242 |
32 |
32768 |
True |
1,992 ± 319 / 706 ± 211 |
2.20 |
48.11 ± 2.01 / 39.66 ± 3.29 |
54.96 ± 2.69 / 69.64 ± 2.09 |
21.57 ± 4.18 / 55.63 ± 4.56 |
31.49 ± 3.11 / 61.33 ± 3.41 |
68.88 ± 0.67 / 27.13 ± 1.71 |
32.39 ± 0.86 / 49.12 ± 0.62 |
29.84 ± 1.54 / 46.53 ± 1.31 |
12.3.2 |
12.3.1 |
12.3.1 |
12.3.1 |
12.3.1 |
12.3.1 |
12.3.1 |
occiglot/occiglot-7b-eu5-instruct (few-shot) |
7242 |
32 |
32768 |
False |
2,088 ± 352 / 706 ± 214 |
2.22 |
52.63 ± 1.89 / 42.99 ± 2.40 |
43.16 ± 4.45 / 57.79 ± 4.61 |
27.09 ± 1.92 / 60.29 ± 1.99 |
34.01 ± 4.01 / 63.29 ± 3.97 |
69.43 ± 0.97 / 29.48 ± 2.59 |
32.56 ± 1.16 / 49.02 ± 0.79 |
23.61 ± 2.42 / 41.55 ± 2.14 |
12.5.2 |
12.2.0 |
12.3.1 |
12.4.0 |
12.4.0 |
12.3.1 |
12.3.1 |
seedboxai/KafkaLM-7B-German-V0.1-DPO (few-shot) |
7242 |
32 |
4096 |
False |
6,070 ± 1,042 / 1,769 ± 573 |
2.26 |
48.92 ± 2.76 / 38.62 ± 2.42 |
52.57 ± 1.74 / 61.25 ± 2.84 |
20.74 ± 3.20 / 56.59 ± 3.27 |
32.87 ± 1.83 / 62.31 ± 2.13 |
68.88 ± 0.80 / 27.84 ± 2.07 |
31.38 ± 0.94 / 48.36 ± 0.62 |
29.83 ± 1.76 / 46.77 ± 1.39 |
12.5.2 |
12.3.2 |
12.3.2 |
12.4.0 |
12.4.0 |
12.3.2 |
12.3.2 |
seedboxai/KafkaLM-7B-German-V0.1 (few-shot) |
7242 |
32 |
32768 |
True |
6,065 ± 1,038 / 1,766 ± 570 |
2.26 |
48.35 ± 2.96 / 38.58 ± 2.35 |
52.51 ± 1.72 / 61.27 ± 2.77 |
20.36 ± 3.59 / 56.14 ± 3.61 |
32.88 ± 1.78 / 62.19 ± 2.05 |
68.82 ± 0.81 / 27.89 ± 2.09 |
31.36 ± 0.96 / 48.34 ± 0.63 |
29.98 ± 1.64 / 46.82 ± 1.33 |
12.5.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
12.3.2 |
occiglot/occiglot-7b-eu5 (few-shot) |
7242 |
32 |
32768 |
True |
2,219 ± 427 / 717 ± 224 |
2.29 |
51.39 ± 1.35 / 44.47 ± 2.77 |
47.30 ± 4.44 / 62.28 ± 4.24 |
21.83 ± 1.98 / 57.05 ± 2.18 |
31.55 ± 3.67 / 60.39 ± 4.29 |
69.31 ± 0.68 / 28.27 ± 1.70 |
32.49 ± 0.91 / 48.82 ± 0.70 |
22.25 ± 2.13 / 40.28 ± 1.67 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.2.0 |
mistralai/Mistral-7B-Instruct-v0.2 (few-shot) |
7242 |
32 |
32768 |
False |
2,538 ± 415 / 821 ± 253 |
2.41 |
55.15 ± 1.17 / 41.83 ± 1.49 |
47.85 ± 2.29 / 65.02 ± 1.69 |
24.29 ± 2.18 / 60.90 ± 1.65 |
24.00 ± 2.19 / 57.66 ± 1.94 |
67.54 ± 0.72 / 22.69 ± 1.75 |
25.96 ± 1.60 / 44.05 ± 1.25 |
31.06 ± 1.24 / 47.46 ± 0.90 |
9.3.1 |
9.2.0 |
9.3.1 |
12.4.0 |
12.4.0 |
9.3.2 |
9.3.2 |
RuterNorway/Llama-2-13b-chat-norwegian (few-shot) |
unknown |
32 |
4096 |
False |
7,778 ± 1,755 / 1,703 ± 552 |
2.45 |
56.71 ± 1.34 / 47.69 ± 2.04 |
49.77 ± 2.03 / 62.42 ± 3.31 |
19.92 ± 3.22 / 52.83 ± 5.45 |
27.87 ± 2.01 / 57.64 ± 2.05 |
66.93 ± 0.93 / 24.06 ± 2.22 |
26.02 ± 1.00 / 44.42 ± 0.74 |
24.88 ± 1.44 / 43.25 ± 1.25 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
mayflowergmbh/Wiedervereinigung-7b-dpo (few-shot, val) |
7242 |
32 |
32768 |
False |
2,374 ± 432 / 744 ± 230 |
2.45 |
52.17 ± 2.87 / 40.26 ± 2.43 |
51.92 ± 3.19 / 67.12 ± 2.11 |
29.06 ± 5.04 / 62.77 ± 2.22 |
14.59 ± 2.77 / 50.41 ± 3.79 |
63.78 ± 0.48 / 15.45 ± 0.60 |
35.38 ± 1.08 / 51.48 ± 0.84 |
34.16 ± 3.12 / 49.73 ± 2.20 |
12.5.2 |
12.1.0 |
12.1.0 |
12.4.0 |
12.4.0 |
12.1.0 |
12.1.0 |
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot) |
7242 |
32 |
32768 |
True |
5,054 ± 1,200 / 1,056 ± 339 |
2.50 |
50.66 ± 1.53 / 39.89 ± 2.43 |
54.79 ± 3.53 / 68.79 ± 3.00 |
20.17 ± 1.69 / 58.67 ± 1.13 |
27.86 ± 4.70 / 54.38 ± 5.91 |
65.53 ± 1.07 / 19.46 ± 1.48 |
27.04 ± 1.04 / 44.99 ± 0.77 |
17.47 ± 3.26 / 36.70 ± 2.93 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
12.5.3 |
DiscoResearch/DiscoLM_German_7b_v1 (few-shot) |
7242 |
32 |
32768 |
False |
1,972 ± 315 / 689 ± 204 |
2.51 |
42.39 ± 2.43 / 32.42 ± 1.53 |
48.67 ± 3.85 / 59.21 ± 4.18 |
8.72 ± 2.15 / 43.37 ± 3.69 |
36.12 ± 2.35 / 66.54 ± 2.34 |
68.47 ± 1.27 / 26.03 ± 3.68 |
23.99 ± 1.15 / 41.69 ± 0.96 |
20.76 ± 1.28 / 38.13 ± 1.29 |
12.5.2 |
12.0.0 |
12.1.0 |
12.4.0 |
12.4.0 |
12.1.0 |
12.1.0 |
mistralai/Mistral-7B-Instruct-v0.1 (few-shot) |
7242 |
32 |
32768 |
False |
5,443 ± 1,273 / 1,144 ± 364 |
2.54 |
51.79 ± 0.92 / 36.09 ± 1.73 |
47.27 ± 3.06 / 63.50 ± 2.88 |
22.15 ± 1.83 / 56.64 ± 4.04 |
24.35 ± 3.75 / 54.56 ± 4.42 |
67.79 ± 1.11 / 25.91 ± 2.97 |
26.88 ± 0.94 / 44.64 ± 0.79 |
20.34 ± 1.39 / 39.65 ± 0.94 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
12.4.0 |
9.3.1 |
9.3.1 |
01-ai/Yi-6B (few-shot) |
6061 |
64 |
4096 |
True |
2,786 ± 532 / 784 ± 250 |
2.56 |
44.97 ± 1.75 / 35.79 ± 1.66 |
53.14 ± 2.67 / 67.89 ± 2.15 |
7.64 ± 2.47 / 37.95 ± 2.67 |
30.19 ± 1.61 / 57.19 ± 2.48 |
66.27 ± 1.20 / 22.97 ± 2.48 |
29.80 ± 0.81 / 47.29 ± 0.57 |
22.91 ± 1.13 / 41.18 ± 1.10 |
9.3.2 |
10.0.0 |
10.0.0 |
12.5.1 |
12.0.0 |
10.0.1 |
10.0.1 |
meta-llama/Llama-2-7b-hf (few-shot) |
6738 |
32 |
4125 |
True |
2,648 ± 467 / 799 ± 250 |
2.66 |
43.02 ± 1.93 / 32.69 ± 1.98 |
50.21 ± 2.43 / 65.81 ± 1.82 |
15.79 ± 2.35 / 53.25 ± 4.45 |
28.57 ± 5.09 / 55.54 ± 6.14 |
68.67 ± 0.97 / 26.95 ± 1.81 |
18.43 ± 1.34 / 38.16 ± 1.18 |
8.37 ± 1.83 / 30.00 ± 1.48 |
12.8.0 |
12.8.0 |
12.8.0 |
12.8.0 |
11.0.0 |
9.2.0 |
9.2.0 |
meta-llama/Llama-2-7b-chat-hf (few-shot) |
6738 |
32 |
4096 |
False |
2,643 ± 455 / 800 ± 247 |
2.70 |
50.00 ± 1.33 / 38.45 ± 1.68 |
46.54 ± 2.92 / 63.66 ± 2.14 |
15.30 ± 1.79 / 55.12 ± 1.92 |
25.57 ± 3.59 / 56.09 ± 3.74 |
67.61 ± 0.90 / 23.51 ± 2.44 |
20.13 ± 1.16 / 39.49 ± 1.04 |
13.92 ± 1.52 / 34.03 ± 1.27 |
9.3.1 |
9.3.1 |
9.3.1 |
12.4.0 |
12.4.0 |
9.3.1 |
9.3.1 |
Qwen/Qwen1.5-4B-Chat (few-shot) |
3950 |
152 |
32768 |
False |
4,347 ± 893 / 1,135 ± 365 |
2.72 |
42.08 ± 1.65 / 36.90 ± 2.00 |
41.52 ± 3.53 / 57.69 ± 3.35 |
12.78 ± 3.75 / 46.43 ± 5.48 |
29.35 ± 2.51 / 59.90 ± 2.80 |
65.56 ± 1.65 / 20.45 ± 2.68 |
23.76 ± 0.70 / 42.77 ± 0.56 |
20.92 ± 1.16 / 40.56 ± 0.86 |
12.5.2 |
10.0.1 |
12.1.0 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
Rijgersberg/GEITje-7B (few-shot) |
7242 |
32 |
32768 |
True |
10,401 ± 2,529 / 2,123 ± 690 |
2.86 |
39.09 ± 2.92 / 31.71 ± 2.34 |
47.83 ± 2.81 / 60.24 ± 3.30 |
10.31 ± 2.60 / 46.65 ± 4.50 |
26.13 ± 3.79 / 53.13 ± 4.50 |
66.72 ± 1.03 / 23.80 ± 2.02 |
19.03 ± 1.31 / 36.85 ± 1.79 |
10.10 ± 1.81 / 30.36 ± 1.81 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
Qwen/Qwen1.5-4B (few-shot) |
3950 |
152 |
32768 |
True |
3,248 ± 739 / 761 ± 252 |
2.97 |
31.52 ± 2.96 / 29.20 ± 1.88 |
39.91 ± 3.29 / 53.66 ± 3.20 |
3.27 ± 2.51 / 34.30 ± 1.29 |
27.55 ± 3.12 / 57.60 ± 3.34 |
65.88 ± 1.25 / 21.37 ± 1.87 |
21.32 ± 1.14 / 40.66 ± 0.96 |
21.35 ± 0.89 / 40.77 ± 0.65 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
VAGOsolutions/SauerkrautLM-Gemma-2b (few-shot) |
2506 |
256 |
8192 |
False |
3,607 ± 565 / 1,212 ± 349 |
3.32 |
12.21 ± 2.76 / 11.93 ± 2.08 |
44.84 ± 2.70 / 57.27 ± 3.65 |
2.02 ± 2.19 / 37.47 ± 3.26 |
24.59 ± 2.70 / 49.79 ± 2.96 |
62.87 ± 2.44 / 18.13 ± 1.20 |
16.35 ± 0.62 / 36.72 ± 0.48 |
8.93 ± 0.99 / 30.43 ± 0.75 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
12.6.1 |
google/gemma-2b (few-shot) |
2506 |
256 |
8192 |
True |
6,087 ± 1,046 / 1,902 ± 563 |
3.34 |
16.95 ± 2.96 / 15.80 ± 2.16 |
44.96 ± 3.30 / 61.27 ± 2.88 |
0.77 ± 1.22 / 33.68 ± 0.59 |
17.92 ± 4.72 / 40.68 ± 6.34 |
66.80 ± 0.96 / 22.24 ± 1.37 |
12.11 ± 0.94 / 33.12 ± 0.90 |
7.32 ± 1.40 / 30.11 ± 1.16 |
12.5.2 |
12.1.0 |
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 |
3.35 |
36.62 ± 1.56 / 28.22 ± 1.66 |
28.54 ± 2.70 / 50.10 ± 1.65 |
1.15 ± 1.66 / 38.16 ± 2.78 |
23.39 ± 1.00 / 51.61 ± 1.04 |
63.02 ± 2.00 / 19.54 ± 1.33 |
12.27 ± 1.33 / 33.40 ± 1.08 |
6.57 ± 0.74 / 28.60 ± 0.70 |
12.5.2 |
12.1.0 |
12.1.0 |
12.4.0 |
12.4.0 |
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 |
3.42 |
28.04 ± 2.71 / 24.08 ± 1.58 |
36.21 ± 3.42 / 54.82 ± 3.32 |
3.12 ± 1.42 / 46.21 ± 2.93 |
16.33 ± 3.22 / 41.91 ± 4.34 |
61.47 ± 1.67 / 12.62 ± 1.40 |
13.44 ± 1.22 / 34.26 ± 0.98 |
8.31 ± 1.08 / 31.05 ± 0.84 |
12.5.2 |
11.0.0 |
12.1.0 |
12.5.0 |
12.5.0 |
12.1.0 |
12.1.0 |
AI-Sweden-Models/gpt-sw3-20b (few-shot) |
20918 |
64 |
2048 |
True |
4,880 ± 1,052 / 1,181 ± 380 |
3.45 |
36.17 ± 2.52 / 27.29 ± 1.74 |
34.17 ± 7.08 / 46.97 ± 8.28 |
2.21 ± 1.64 / 38.29 ± 3.56 |
17.99 ± 4.02 / 38.26 ± 5.37 |
62.21 ± 0.48 / 18.52 ± 0.80 |
3.58 ± 1.15 / 27.49 ± 0.72 |
0.56 ± 1.62 / 24.97 ± 1.14 |
12.9.0 |
12.9.0 |
12.9.0 |
9.3.1 |
9.3.1 |
9.3.1 |
9.3.1 |
Qwen/Qwen1.5-1.8B (few-shot) |
1837 |
152 |
32768 |
True |
5,666 ± 1,328 / 1,256 ± 408 |
3.54 |
9.23 ± 4.86 / 10.43 ± 3.83 |
38.30 ± 2.90 / 56.94 ± 2.83 |
0.39 ± 1.17 / 33.47 ± 0.34 |
16.67 ± 3.02 / 41.61 ± 3.00 |
61.74 ± 1.58 / 14.71 ± 1.12 |
13.65 ± 1.17 / 33.35 ± 0.91 |
8.86 ± 0.99 / 30.21 ± 0.77 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
LumiOpen/Viking-13B (few-shot) |
14030 |
131 |
4128 |
True |
3,480 ± 727 / 822 ± 274 |
3.55 |
34.53 ± 1.24 / 29.89 ± 1.96 |
42.90 ± 2.66 / 56.64 ± 4.71 |
1.51 ± 1.64 / 43.36 ± 4.05 |
15.83 ± 1.42 / 29.77 ± 2.54 |
61.40 ± 3.15 / 14.84 ± 2.07 |
-1.84 ± 1.09 / 23.98 ± 0.66 |
-0.12 ± 1.30 / 24.41 ± 0.96 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot) |
20918 |
64 |
2077 |
True |
1,831 ± 587 / 268 ± 90 |
3.61 |
24.35 ± 1.72 / 21.90 ± 0.85 |
43.35 ± 3.81 / 60.49 ± 3.18 |
2.38 ± 1.21 / 37.27 ± 1.09 |
15.56 ± 2.24 / 34.68 ± 3.15 |
57.47 ± 0.69 / 14.10 ± 0.73 |
4.67 ± 0.91 / 27.88 ± 0.81 |
1.77 ± 1.29 / 25.47 ± 0.78 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
12.7.0 |
RuterNorway/Llama-2-7b-chat-norwegian (few-shot) |
6738 |
32 |
4096 |
False |
10,890 ± 2,686 / 2,186 ± 750 |
3.64 |
27.22 ± 1.38 / 24.48 ± 1.76 |
33.54 ± 5.12 / 49.63 ± 5.78 |
0.45 ± 0.91 / 35.24 ± 3.71 |
20.44 ± 3.29 / 45.50 ± 3.33 |
60.50 ± 0.63 / 13.71 ± 0.75 |
-0.10 ± 0.93 / 25.16 ± 1.17 |
-1.00 ± 1.03 / 24.94 ± 1.00 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.2 |
12.4.0 |
9.3.1 |
9.3.1 |
Qwen/Qwen1.5-0.5B (few-shot) |
620 |
152 |
32768 |
True |
11,371 ± 2,924 / 2,122 ± 692 |
3.96 |
27.34 ± 1.95 / 24.46 ± 1.25 |
10.64 ± 5.31 / 26.79 ± 4.73 |
0.33 ± 1.20 / 35.20 ± 2.45 |
11.81 ± 2.10 / 27.38 ± 2.49 |
59.71 ± 2.14 / 12.23 ± 1.08 |
6.34 ± 1.10 / 29.19 ± 0.75 |
2.94 ± 0.65 / 27.16 ± 0.61 |
12.5.2 |
10.0.1 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
Qwen/Qwen1.5-0.5B-Chat (few-shot) |
620 |
152 |
32768 |
False |
11,740 ± 3,000 / 2,209 ± 721 |
3.97 |
24.67 ± 0.99 / 23.98 ± 0.73 |
9.31 ± 2.97 / 21.50 ± 2.70 |
1.11 ± 1.69 / 37.88 ± 4.05 |
13.60 ± 1.60 / 29.10 ± 1.94 |
56.42 ± 7.64 / 11.68 ± 1.75 |
2.75 ± 0.91 / 27.17 ± 0.72 |
3.41 ± 1.30 / 27.45 ± 0.79 |
12.5.2 |
11.0.0 |
12.1.0 |
12.5.0 |
12.5.0 |
12.1.0 |
12.1.0 |
allenai/OLMo-7B (few-shot) |
6888 |
50 |
2080 |
True |
5,403 ± 1,133 / 1,294 ± 423 |
3.99 |
30.85 ± 4.69 / 24.38 ± 3.10 |
49.77 ± 2.81 / 64.87 ± 2.42 |
2.67 ± 1.77 / 41.55 ± 4.54 |
4.09 ± 1.94 / 12.70 ± 2.66 |
42.64 ± 0.22 / 4.37 ± 0.10 |
1.94 ± 0.76 / 26.86 ± 0.44 |
1.24 ± 0.75 / 25.78 ± 0.82 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
allenai/OLMo-7B-Twin-2T (few-shot) |
6888 |
50 |
2080 |
True |
5,484 ± 1,125 / 1,317 ± 425 |
4.26 |
14.06 ± 5.31 / 12.90 ± 4.52 |
28.07 ± 6.33 / 38.61 ± 7.42 |
2.31 ± 1.88 / 44.45 ± 4.23 |
6.89 ± 2.35 / 17.95 ± 3.37 |
43.42 ± 0.26 / 5.42 ± 0.11 |
1.66 ± 1.18 / 25.51 ± 0.86 |
1.50 ± 0.90 / 26.46 ± 0.95 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
12.5.2 |
RJuro/kanelsnegl-v0.1 (few-shot) |
7242 |
32 |
512 |
True |
9,757 ± 2,047 / 2,200 ± 705 |
4.52 |
0.00 ± 0.00 / 0.00 ± 0.00 |
0.00 ± 0.00 / 17.05 ± 0.35 |
0.00 ± 0.00 / 33.34 ± 0.31 |
0.00 ± 0.00 / 14.61 ± 0.65 |
59.43 ± 0.04 / 10.87 ± 0.07 |
1.16 ± 0.57 / 22.46 ± 0.56 |
0.31 ± 0.50 / 24.18 ± 0.53 |
9.3.1 |
9.3.1 |
9.3.1 |
12.5.1 |
9.3.1 |
9.3.1 |
9.3.1 |
allenai/OLMo-1B (few-shot) |
1177 |
50 |
2080 |
True |
8,536 ± 1,926 / 1,940 ± 619 |
4.52 |
21.46 ± 2.04 / 20.83 ± 1.63 |
21.03 ± 6.33 / 38.33 ± 7.79 |
0.13 ± 1.48 / 43.17 ± 4.90 |
0.71 ± 0.53 / 6.02 ± 1.37 |
39.77 ± 0.20 / 4.80 ± 0.05 |
-0.08 ± 0.53 / 25.19 ± 1.04 |
-0.63 ± 0.73 / 24.55 ± 0.49 |
12.5.2 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
12.1.0 |
ai-forever/mGPT (few-shot) |
unknown |
100 |
1024 |
True |
13,551 ± 4,259 / 2,563 ± 838 |
5.06 |
0.30 ± 0.60 / 0.26 ± 0.50 |
0.29 ± 1.28 / 17.22 ± 1.25 |
-0.11 ± 1.16 / 36.65 ± 3.98 |
0.00 ± 0.00 / 1.54 ± 0.12 |
29.53 ± 0.57 / 1.46 ± 0.22 |
-0.60 ± 1.00 / 22.86 ± 0.47 |
0.61 ± 1.22 / 24.32 ± 0.63 |
9.3.1 |
10.0.1 |
11.0.0 |
12.5.1 |
12.0.0 |
11.0.0 |
11.0.0 |