norwegian-nlu.md

layout	title
leaderboard	Norwegian NLU 🇳🇴

Last updated: 11/01/2025 11:03:19 CET

Include merged models

Model ID	Parameters	Vocabulary size	Context	Commercial	Speed	Rank	NorNE-nb	NorNE-nn	NoReC	ScaLA-nb	ScaLA-nn	NorQuAD	NorNE-nb version	NorNE-nn version	NoReC version	ScaLA-nb version	ScaLA-nn version	NorQuAD version
ltg/norbert3-large	354	50	508	True	5,048 ± 824 / 1,354 ± 429	1.10	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	1.24	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	1.33	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-1160k	355	50	512	True	14,014 ± 2,384 / 3,625 ± 1,146	1.37	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
AI-Sweden-Models/roberta-large-1350k	355	50	512	True	5,744 ± 969 / 1,539 ± 492	1.38	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
gpt-4-0613 (few-shot, val)	unknown	100	8192	True	597 ± 197 / 93 ± 33	1.50	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	1.56	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
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
danish-foundation-models/encoder-large-v1	355	50	512	True	6,671 ± 1,380 / 1,497 ± 482	1.56	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
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
NbAiLab/nb-roberta-base-scandi	278	250	512	True	15,079 ± 2,948 / 3,359 ± 1,091	1.58	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
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
pere/roberta-base-exp-8	278	250	512	True	15,112 ± 2,969 / 3,347 ± 1,093	1.65	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
gpt-4-1106-preview (few-shot, val)	unknown	100	128000	True	576 ± 221 / 81 ± 28	1.67	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	1.67	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
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
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
KennethEnevoldsen/dfm-sentence-encoder-medium-3	178	120	512	True	14,050 ± 3,278 / 2,749 ± 894	1.71	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
gpt-4o-2024-05-13 (few-shot, val)	unknown	200	128000	True	916 ± 329 / 114 ± 38	1.71	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
intfloat/multilingual-e5-large	560	250	512	True	6,732 ± 1,273 / 1,633 ± 523	1.71	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
vesteinn/ScandiBERT-no-faroese	124	50	512	True	15,436 ± 2,820 / 3,704 ± 1,187	1.71	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
pere/roberta-base-exp-32	278	250	512	True	15,081 ± 2,950 / 3,365 ± 1,092	1.72	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	1.74	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
pere/roberta-debug-8	278	250	512	True	15,103 ± 2,954 / 3,356 ± 1,090	1.74	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
vesteinn/FoBERT	124	50	512	True	15,623 ± 2,828 / 3,737 ± 1,191	1.74	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
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
FacebookAI/xlm-roberta-large	560	250	512	True	17,897 ± 3,921 / 3,463 ± 1,141	1.77	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
google/gemma-2-27b-it (few-shot)	27227	256	8193	True	1,516 ± 257 / 480 ± 148	1.83	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
pere/roberta-debug-32	278	250	512	True	14,958 ± 2,903 / 3,331 ± 1,077	1.86	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
setu4993/LaBSE	471	501	512	True	25,418 ± 6,435 / 4,536 ± 1,452	1.87	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
claude-3-5-sonnet-20241022 (zero-shot, val)	unknown	unknown	200000	True	193 ± 87 / 55 ± 19	1.88	74.23 ± 1.86 / 70.66 ± 2.97	70.50 ± 2.19 / 65.71 ± 2.34	50.92 ± 2.29 / 63.00 ± 1.71	76.10 ± 3.28 / 88.02 ± 1.64	72.03 ± 2.05 / 85.28 ± 1.07	40.57 ± 1.42 / 67.69 ± 0.75	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
abhishek/autotrain-llama3-oh-sft-v0-2 (few-shot)	70554	128	8192	False	2,668 ± 802 / 411 ± 135	1.95	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	2.04	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
google/gemma-2-27b (few-shot)	27227	256	8193	True	1,531 ± 264 / 489 ± 149	2.05	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
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
intfloat/multilingual-e5-large-instruct	560	250	514	True	5,947 ± 1,301 / 1,129 ± 374	2.06	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
google/gemma-2-9b-it (few-shot)	9242	256	8193	True	2,062 ± 397 / 589 ± 178	2.09	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	2.11	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
meta-llama/Llama-3.1-405B-Instruct-FP8 (few-shot)	405869	128	131072	True	799 ± 246 / 112 ± 38	2.12	82.44 ± 1.19 / 81.86 ± 1.20	82.17 ± 0.89 / 82.07 ± 1.38	40.55 ± 0.50 / 40.35 ± 0.39	63.91 ± 1.57 / 79.76 ± 1.13	45.93 ± 1.97 / 67.09 ± 1.85	45.33 ± 1.59 / 73.27 ± 1.24	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
google/gemma-2-9b (few-shot)	9242	256	8193	True	2,038 ± 406 / 566 ± 172	2.17	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
meta-llama/Llama-3.1-70B-Instruct (few-shot)	70554	128	131072	True	1,409 ± 457 / 186 ± 63	2.17	80.05 ± 0.87 / 67.79 ± 1.90	80.67 ± 0.92 / 69.11 ± 3.29	40.65 ± 0.45 / 40.56 ± 0.29	56.42 ± 1.70 / 76.10 ± 1.29	38.21 ± 3.25 / 64.61 ± 2.89	49.22 ± 2.20 / 74.92 ± 1.35	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
gpt-4o-2024-05-13 (zero-shot, val)	unknown	200	8191	True	637 ± 306 / 92 ± 31	2.21	77.72 ± 1.59 / 57.89 ± 2.50	71.70 ± 2.52 / 50.78 ± 2.60	36.27 ± 1.67 / 35.73 ± 0.92	71.70 ± 2.39 / 85.59 ± 1.30	58.79 ± 1.33 / 76.83 ± 0.92	40.95 ± 1.31 / 72.82 ± 0.88	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
meta-llama/Llama-3.3-70B-Instruct (few-shot)	70554	128	131072	True	1,353 ± 443 / 180 ± 61	2.23	79.84 ± 1.02 / 67.96 ± 2.10	79.93 ± 0.81 / 68.93 ± 2.65	41.11 ± 0.41 / 40.48 ± 0.38	57.84 ± 1.77 / 77.97 ± 1.19	43.52 ± 2.51 / 69.59 ± 2.20	40.92 ± 1.45 / 69.52 ± 1.07	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
152334H/miqu-1-70b-sf (few-shot, val)	68977	32	32764	True	2,126 ± 676 / 319 ± 104	2.25	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
ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot)	28411	256	4096	True	3,633 ± 1,236 / 777 ± 220	2.25	76.25 ± 1.39 / 60.31 ± 3.22	77.91 ± 0.47 / 61.81 ± 3.84	40.54 ± 0.72 / 39.96 ± 0.60	59.75 ± 1.66 / 78.91 ± 1.21	47.82 ± 2.00 / 73.51 ± 1.21	40.99 ± 1.38 / 69.77 ± 1.17	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
meta-llama/Llama-2-70b-hf (few-shot, val)	68977	32	4096	True	1,892 ± 650 / 318 ± 105	2.25	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
vesteinn/DanskBERT	124	50	512	True	15,749 ± 2,665 / 4,014 ± 1,281	2.25	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
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
intfloat/multilingual-e5-base	278	250	512	True	14,965 ± 2,890 / 3,322 ± 1,074	2.28	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
gpt-4o-mini-2024-07-18 (few-shot, val)	unknown	200	8191	True	784 ± 310 / 95 ± 28	2.29	72.74 ± 1.75 / 57.58 ± 4.14	69.17 ± 2.61 / 56.34 ± 3.95	67.45 ± 4.03 / 77.50 ± 2.90	74.27 ± 2.57 / 86.86 ± 1.43	54.83 ± 3.96 / 76.91 ± 1.98	3.67 ± 1.64 / 43.45 ± 1.90	14.0.0	14.0.0	14.0.0	14.0.0	14.0.0	14.0.0
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
Qwen/QwQ-32B-Preview (few-shot)	32764	152	32768	True	2,258 ± 1,221 / 198 ± 67	2.32	75.68 ± 1.44 / 63.54 ± 3.33	75.89 ± 0.88 / 63.84 ± 4.94	38.41 ± 0.87 / 38.78 ± 0.71	56.42 ± 1.37 / 77.77 ± 0.78	39.34 ± 2.27 / 69.48 ± 1.18	44.35 ± 3.74 / 71.44 ± 3.05	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
Qwen/Qwen2.5-72B-Instruct (few-shot)	72706	152	32768	True	1,219 ± 412 / 158 ± 53	2.32	72.21 ± 1.25 / 49.58 ± 2.05	70.24 ± 1.23 / 52.09 ± 2.38	39.85 ± 0.65 / 39.69 ± 0.52	63.14 ± 1.27 / 81.41 ± 0.62	43.24 ± 1.56 / 71.36 ± 0.86	43.41 ± 3.02 / 73.20 ± 2.14	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
google-bert/bert-base-multilingual-uncased	167	106	512	True	13,993 ± 3,217 / 2,752 ± 893	2.33	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	2.35	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
google-bert/bert-base-multilingual-cased	178	120	512	True	14,083 ± 3,264 / 2,738 ± 889	2.35	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
cardiffnlp/twitter-xlm-roberta-base	278	250	512	True	34,475 ± 7,465 / 6,712 ± 2,223	2.36	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
jonfd/electra-small-nordic	22	96	128	True	5,989 ± 120 / 3,809 ± 1,230	2.37	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
Nexusflow/Starling-LM-7B-beta (few-shot)	7242	32	8192	False	4,136 ± 1,282 / 668 ± 326	2.39	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
upstage/SOLAR-10.7B-v1.0 (few-shot)	10732	32	4096	True	3,780 ± 906 / 799 ± 261	2.40	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
NorwAI/NorwAI-Mixtral-8x7B (few-shot)	46998	68	32768	True	2,368 ± 793 / 317 ± 108	2.41	58.53 ± 2.06 / 39.86 ± 1.77	60.26 ± 1.71 / 41.24 ± 1.50	59.48 ± 2.27 / 73.61 ± 2.04	51.85 ± 2.78 / 73.40 ± 2.33	41.89 ± 3.17 / 69.00 ± 2.68	25.62 ± 3.95 / 43.70 ± 5.67	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
four-two-labs/orpo-llama-3-swe (few-shot)	8030	128	8192	False	4,974 ± 1,208 / 1,032 ± 342	2.41	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
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (few-shot)	70554	128	131072	True	1,208 ± 412 / 156 ± 53	2.41	69.21 ± 1.13 / 41.18 ± 1.79	70.45 ± 1.43 / 43.05 ± 2.42	39.87 ± 0.47 / 39.97 ± 0.29	57.80 ± 1.53 / 78.16 ± 0.92	40.31 ± 2.88 / 68.01 ± 2.32	40.97 ± 1.43 / 72.01 ± 0.69	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
Geotrend/bert-base-en-no-cased	111	33	512	True	14,081 ± 3,231 / 2,748 ± 891	2.45	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
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val)	7242	32	32768	False	2,903 ± 407 / 1,157 ± 350	2.46	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	2.46	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
Geotrend/bert-base-en-fr-de-no-da-cased	118	42	512	True	13,973 ± 3,205 / 2,725 ± 884	2.48	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
ZurichNLP/unsup-simcse-xlm-roberta-base	278	250	512	True	34,520 ± 7,443 / 6,730 ± 2,224	2.49	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
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
microsoft/infoxlm-base	278	250	512	True	34,735 ± 7,558 / 6,846 ± 2,312	2.52	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
microsoft/infoxlm-large	560	250	512	True	6,696 ± 1,260 / 1,630 ± 515	2.53	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	2.53	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	2.54	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
skole-gpt-mixtral (few-shot)	unknown	32	32768	False	3,583 ± 977 / 686 ± 231	2.54	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
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-4-1106-preview (zero-shot, val)	unknown	100	8191	True	436 ± 152 / 57 ± 21	2.56	60.16 ± 3.63 / 49.38 ± 2.48	48.74 ± 2.05 / 40.98 ± 1.83	39.62 ± 1.29 / 38.68 ± 0.94	71.38 ± 2.71 / 85.52 ± 1.38	42.94 ± 3.66 / 71.26 ± 1.76	36.04 ± 1.53 / 69.46 ± 0.84	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
nvidia/mistral-nemo-minitron-8b-base (few-shot)	8414	131	8192	True	2,470 ± 836 / 326 ± 111	2.56	64.15 ± 1.20 / 47.04 ± 3.09	62.16 ± 1.91 / 46.60 ± 2.86	55.29 ± 1.82 / 69.90 ± 1.64	32.30 ± 3.70 / 60.88 ± 3.83	22.82 ± 1.34 / 57.53 ± 2.19	32.62 ± 5.27 / 54.92 ± 6.28	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1
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
timpal0l/BeagleCatMunin2 (few-shot, val)	7242	32	32768	False	2,477 ± 459 / 767 ± 241	2.57	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
NorwAI/NorwAI-Mixtral-8x7B-instruct (few-shot)	46998	68	32768	True	9,015 ± 2,966 / 1,121 ± 510	2.59	58.05 ± 2.37 / 42.27 ± 2.34	59.65 ± 1.56 / 42.70 ± 2.35	57.94 ± 2.51 / 71.75 ± 2.43	51.36 ± 5.61 / 73.74 ± 5.30	42.84 ± 3.95 / 70.80 ± 2.32	14.72 ± 3.35 / 53.03 ± 2.43	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
meta-llama/Llama-2-70b-chat-hf (few-shot, val)	68977	32	4096	True	1,979 ± 621 / 320 ± 105	2.61	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
mgoin/Nemotron-4-340B-Instruct-hf-FP8 (few-shot)	341029	256	4096	True	1,904 ± 475 / 361 ± 121	2.62	56.41 ± 4.08 / 40.15 ± 2.52	55.60 ± 10.22 / 41.46 ± 7.34	25.18 ± 6.55 / 26.60 ± 5.64	62.56 ± 12.80 / 78.17 ± 9.21	53.09 ± 12.43 / 72.49 ± 10.07	42.57 ± 3.25 / 68.49 ± 4.62	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
gpt-4o-mini-2024-07-18 (zero-shot, val)	unknown	200	8191	True	908 ± 303 / 96 ± 36	2.63	60.43 ± 2.46 / 37.82 ± 2.68	55.59 ± 2.84 / 32.20 ± 2.11	39.82 ± 1.20 / 37.70 ± 1.08	54.84 ± 2.09 / 74.79 ± 1.33	33.80 ± 3.42 / 62.11 ± 2.19	36.55 ± 1.71 / 70.12 ± 0.99	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val)	7242	32	32768	True	2,443 ± 458 / 750 ± 240	2.63	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
Mabeck/Heidrun-Mistral-7B-chat (few-shot)	7242	32	32768	False	1,419 ± 349 / 286 ± 97	2.64	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
timpal0l/BeagleCatMunin (few-shot, val)	7242	32	32768	False	2,495 ± 458 / 775 ± 244	2.66	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
CohereForAI/c4ai-command-r-08-2024 (few-shot)	32296	256	131072	False	1,909 ± 646 / 248 ± 84	2.67	73.20 ± 1.45 / 46.13 ± 3.02	72.26 ± 1.32 / 50.60 ± 3.32	35.80 ± 0.54 / 38.56 ± 0.56	36.86 ± 1.57 / 68.01 ± 0.98	23.40 ± 1.98 / 60.51 ± 1.62	40.32 ± 1.30 / 70.57 ± 1.28	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
KennethEnevoldsen/munin_mistral-7b (few-shot, val)	7242	32	32768	False	2,543 ± 466 / 787 ± 247	2.68	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/Llama-3-8B-flashback-v1 (few-shot)	8030	128	8192	True	3,004 ± 771 / 534 ± 179	2.68	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
ibm-granite/granite-3.0-8b-base (few-shot)	8171	49	4097	True	2,515 ± 625 / 476 ± 159	2.69	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
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
senseable/WestLake-7B-v2 (few-shot)	7242	32	32768	False	5,993 ± 1,028 / 1,742 ± 561	2.69	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
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val)	7242	32	32768	True	2,515 ± 465 / 785 ± 247	2.71	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
mhenrichsen/danskgpt-chat-v2.1 (few-shot)	unknown	32	32768	True	5,085 ± 998 / 1,306 ± 404	2.71	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
KBLab/megatron-bert-base-swedish-cased-600k	135	64	512	True	15,726 ± 2,508 / 4,234 ± 1,365	2.72	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
clips/mfaq	278	250	128	True	5,591 ± 187 / 3,349 ± 1,105	2.72	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
meta-llama/Meta-Llama-3-8B-Instruct (few-shot)	8030	128	8192	True	1,483 ± 377 / 287 ± 97	2.72	66.56 ± 1.70 / 58.47 ± 2.40	68.29 ± 1.47 / 61.22 ± 2.25	34.47 ± 0.44 / 37.96 ± 0.40	28.22 ± 1.37 / 59.51 ± 1.44	18.21 ± 2.21 / 52.84 ± 2.30	47.34 ± 1.99 / 73.23 ± 1.29	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
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
mistralai/Mixtral-8x7B-v0.1 (few-shot)	46703	32	32768	True	2,363 ± 794 / 311 ± 105	2.73	63.92 ± 1.45 / 51.71 ± 3.49	62.15 ± 1.56 / 49.74 ± 3.23	46.68 ± 3.59 / 59.99 ± 4.44	33.38 ± 2.21 / 64.72 ± 1.46	19.99 ± 2.53 / 58.41 ± 1.97	31.87 ± 4.76 / 53.96 ± 5.86	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
timpal0l/njord-alpha (few-shot)	7242	32	32768	True	5,431 ± 1,267 / 1,139 ± 365	2.73	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
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val)	7242	32	32768	False	2,890 ± 401 / 1,155 ± 348	2.74	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
ibm-granite/granite-3.0-8b-instruct (few-shot)	8171	49	4096	True	1,118 ± 302 / 184 ± 63	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
merge-crew/da-sv-ties (few-shot, val)	7242	32	32768	True	2,457 ± 451 / 757 ± 237	2.75	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
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
birgermoell/Flashback-Bellman (few-shot, val)	7242	32	32768	False	2,887 ± 403 / 1,144 ± 345	2.76	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
merge-crew/da-sv-slerp (few-shot, val)	7242	32	32768	True	2,467 ± 469 / 762 ± 244	2.76	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
merge-crew/da-sv-task-arithmetic (few-shot, val)	7242	32	32768	True	2,500 ± 469 / 762 ± 238	2.76	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
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
mhenrichsen/hestenettetLM (few-shot)	7242	32	32768	True	1,151 ± 294 / 227 ± 76	2.78	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
utter-project/EuroLLM-9B-Instruct (few-shot)	9152	128	4096	False	1,483 ± 321 / 379 ± 158	2.78	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
birgermoell/Rapid-Cycling (few-shot, val)	7242	32	32768	False	2,346 ± 450 / 666 ± 249	2.79	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
facebook/xlm-v-base	778	902	512	True	25,396 ± 6,394 / 4,534 ± 1,421	2.79	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
CohereForAI/aya-expanse-8b (few-shot)	8028	256	8192	False	2,686 ± 685 / 491 ± 164	2.80	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	2.80	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
AI-Sweden-Models/Llama-3-8B (few-shot)	8030	128	8192	True	4,141 ± 994 / 905 ± 299	2.81	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
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
KBLab/bert-base-swedish-cased	125	50	512	True	16,164 ± 2,392 / 4,574 ± 1,478	2.81	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
meta-llama/Llama-3.1-8B-Instruct (few-shot)	8030	128	131072	True	1,473 ± 377 / 283 ± 96	2.81	64.55 ± 1.69 / 56.81 ± 2.50	66.44 ± 1.38 / 60.02 ± 3.36	35.17 ± 0.32 / 38.11 ± 0.29	27.41 ± 1.97 / 54.94 ± 2.06	15.60 ± 2.05 / 46.51 ± 2.41	43.11 ± 2.22 / 69.74 ± 1.60	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
mlabonne/AlphaMonarch-7B (few-shot, val)	7242	32	8192	False	5,340 ± 1,262 / 1,157 ± 375	2.81	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
bineric/NorskGPT-Llama-13B-v0.1 (few-shot)	unknown	32	4096	False	2,856 ± 645 / 709 ± 243	2.82	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
bineric/NorskGPT-Llama-7B-v0.1 (few-shot)	6738	32	4096	False	5,384 ± 879 / 1,746 ± 553	2.82	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
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot)	7242	32	32768	True	5,054 ± 1,200 / 1,056 ± 339	2.82	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
mistralai/Mistral-7B-v0.1 (few-shot)	7242	32	32768	True	1,446 ± 354 / 295 ± 100	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
ltg/norbert3-xs	15	50	508	True	14,208 ± 2,713 / 3,059 ± 1,002	2.84	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
distilbert/distilbert-base-multilingual-cased	135	120	512	True	26,355 ± 5,946 / 5,266 ± 1,714	2.85	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
mistralai/Ministral-8B-Instruct-2410 (few-shot)	8020	131	32768	True	1,302 ± 323 / 253 ± 86	2.85	67.24 ± 1.06 / 45.38 ± 2.20	66.08 ± 1.05 / 47.58 ± 3.27	31.41 ± 0.86 / 33.56 ± 0.97	28.72 ± 2.42 / 58.62 ± 3.68	20.55 ± 3.71 / 54.24 ± 4.15	40.60 ± 2.39 / 68.91 ± 2.08	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val)	7242	32	32768	False	3,008 ± 429 / 991 ± 323	2.86	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
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
Geotrend/distilbert-base-25lang-cased	109	85	512	True	26,099 ± 5,881 / 5,178 ± 1,665	2.87	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-no-cased	69	33	512	True	26,597 ± 6,036 / 5,271 ± 1,697	2.87	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
mistralai/Mixtral-8x7B-Instruct-v0.1 (few-shot)	46703	32	32768	True	5,535 ± 1,837 / 760 ± 256	2.87	55.02 ± 2.74 / 36.31 ± 1.97	57.37 ± 2.34 / 38.25 ± 2.37	36.76 ± 0.69 / 38.81 ± 0.52	30.73 ± 1.86 / 63.33 ± 2.10	18.96 ± 2.45 / 52.64 ± 4.21	41.01 ± 2.00 / 70.24 ± 1.75	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
sentence-transformers/paraphrase-multilingual-mpnet-base-v2	278	250	512	True	15,100 ± 3,019 / 3,369 ± 1,103	2.87	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
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot)	7242	32	32768	False	3,006 ± 479 / 1,053 ± 319	2.88	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	2.88	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
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
Mabeck/Heidrun-Mistral-7B-base (few-shot)	7242	32	32768	True	3,823 ± 967 / 860 ± 280	2.89	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
alpindale/Mistral-7B-v0.2-hf (few-shot)	7242	32	32768	True	1,841 ± 297 / 651 ± 193	2.91	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
mistralai/Mistral-7B-v0.3 (few-shot)	7248	33	32768	True	1,364 ± 343 / 266 ± 90	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
sentence-transformers/paraphrase-xlm-r-multilingual-v1	278	250	512	True	20,154 ± 4,438 / 3,890 ± 1,256	2.91	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-it (few-shot)	8538	256	8192	False	1,792 ± 249 / 668 ± 203	2.92	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
google/gemma-7b (few-shot)	8538	256	8192	True	1,378 ± 260 / 387 ± 119	2.93	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
meta-llama/Llama-3.1-8B (few-shot)	8030	128	131072	True	2,986 ± 823 / 276 ± 94	2.94	65.17 ± 2.02 / 52.91 ± 2.25	60.22 ± 2.29 / 50.51 ± 3.15	34.02 ± 0.93 / 37.19 ± 0.86	32.48 ± 3.31 / 63.48 ± 2.97	18.38 ± 4.77 / 49.87 ± 5.55	33.06 ± 4.39 / 58.56 ± 4.32	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
ibm-granite/granite-8b-code-base-4k (few-shot)	8055	49	4096	True	2,313 ± 423 / 682 ± 210	2.96	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
meta-llama/Llama-2-13b-chat-hf (few-shot)	13016	32	4096	True	2,849 ± 622 / 723 ± 229	2.96	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
CohereForAI/aya-23-8B (few-shot)	8028	256	8192	False	2,707 ± 688 / 497 ± 166	2.98	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
Geotrend/distilbert-base-en-da-cased	69	33	512	True	26,196 ± 5,956 / 5,220 ± 1,691	2.98	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
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
flax-community/nordic-roberta-wiki	125	50	512	True	16,227 ± 2,650 / 4,252 ± 1,393	2.99	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
occiglot/occiglot-7b-eu5-instruct (few-shot)	7242	32	32768	False	2,088 ± 352 / 706 ± 214	2.99	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
sentence-transformers/stsb-xlm-r-multilingual	278	250	512	True	15,040 ± 2,953 / 3,417 ± 1,100	2.99	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
NbAiLab/nb-llama-3.1-70B (few-shot)	70554	128	131072	True	1,220 ± 411 / 158 ± 53	3.01	65.75 ± 2.00 / 59.69 ± 2.98	70.12 ± 2.22 / 63.49 ± 3.83	41.90 ± 3.43 / 49.94 ± 4.59	47.88 ± 8.48 / 69.91 ± 7.73	35.66 ± 6.93 / 62.56 ± 6.50	0.03 ± 0.04 / 19.59 ± 1.89	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
RuterNorway/Llama-2-13b-chat-norwegian (few-shot)	unknown	32	4096	False	3,254 ± 1,068 / 484 ± 173	3.01	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
KBLab/megatron-bert-base-swedish-cased-125k	135	64	512	True	15,763 ± 2,523 / 4,238 ± 1,370	3.02	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
ibm-granite/granite-8b-code-instruct-4k (few-shot)	8055	49	4096	True	5,617 ± 995 / 1,623 ± 540	3.02	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
jannikskytt/MeDa-Bert	111	32	511	True	16,114 ± 2,429 / 4,566 ± 1,482	3.02	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
meta-llama/Llama-3.2-3B (few-shot)	3213	128	131073	True	3,713 ± 877 / 836 ± 267	3.02	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
meta-llama/Meta-Llama-3-8B (few-shot)	8030	128	8192	True	1,477 ± 376 / 285 ± 97	3.02	62.89 ± 2.01 / 50.34 ± 1.92	56.18 ± 3.26 / 47.30 ± 2.62	33.07 ± 0.73 / 37.60 ± 0.49	30.73 ± 3.19 / 64.06 ± 2.41	20.57 ± 3.62 / 54.22 ± 5.15	30.77 ± 4.33 / 54.66 ± 4.41	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
mistralai/Mistral-7B-Instruct-v0.1 (few-shot)	7242	32	32768	False	634 ± 179 / 110 ± 35	3.02	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
CohereForAI/c4ai-command-r-v01 (few-shot)	34981	256	8192	False	1,919 ± 645 / 248 ± 83	3.04	61.54 ± 2.53 / 42.44 ± 2.12	60.94 ± 1.48 / 43.92 ± 2.09	35.73 ± 0.66 / 38.06 ± 0.54	21.33 ± 2.08 / 52.01 ± 3.05	13.20 ± 1.51 / 52.20 ± 2.53	32.36 ± 1.99 / 61.64 ± 1.20	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
mistralai/Mistral-7B-Instruct-v0.2 (few-shot)	7242	32	32768	False	2,370 ± 416 / 711 ± 242	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
occiglot/occiglot-7b-eu5 (few-shot)	7242	32	32768	True	2,219 ± 427 / 717 ± 224	3.06	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
KBLab/bert-base-swedish-cased-new	135	64	512	True	15,933 ± 2,541 / 4,289 ± 1,376	3.07	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	3.07	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
AI-Sweden-Models/Llama-3-8B-instruct (few-shot)	8030	128	8192	False	1,472 ± 376 / 284 ± 96	3.08	81.96 ± 1.06 / 76.25 ± 1.32	78.42 ± 1.01 / 75.40 ± 0.97	35.30 ± 0.64 / 38.72 ± 0.50	12.11 ± 2.22 / 36.70 ± 1.09	5.94 ± 1.85 / 34.64 ± 0.60	22.15 ± 0.60 / 43.62 ± 0.82	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
mideind/IceBERT-xlmr-ic3	278	250	512	True	11,004 ± 2,244 / 2,324 ± 761	3.08	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
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
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	3.10	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
danish-foundation-models/encoder-medium-v1	111	32	512	True	16,130 ± 2,433 / 4,566 ± 1,473	3.11	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
meta-llama/Llama-2-13b-hf (few-shot)	13016	32	4096	True	2,898 ± 637 / 736 ± 236	3.11	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
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
TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot)	7800	100	4096	True	6,197 ± 1,118 / 1,730 ± 577	3.13	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
bineric/NorskGPT-Mistral-7b (few-shot)	7242	32	4096	False	1,440 ± 352 / 293 ± 99	3.14	62.98 ± 1.81 / 46.61 ± 3.01	60.12 ± 1.27 / 43.49 ± 2.87	35.47 ± 0.80 / 38.01 ± 0.57	15.15 ± 1.99 / 45.37 ± 3.71	9.49 ± 1.78 / 43.92 ± 3.35	27.06 ± 2.88 / 49.25 ± 4.63	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
google/gemma-2-2b-it (few-shot)	2614	256	8193	True	5,374 ± 1,233 / 1,193 ± 377	3.16	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
Addedk/mbert-swedish-distilled-cased	135	120	512	True	26,091 ± 5,835 / 5,209 ± 1,690	3.17	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
meta-llama/Llama-2-7b-hf (few-shot)	6738	32	4096	True	930 ± 310 / 128 ± 43	3.19	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
LumiOpen/Viking-33B@1000B (few-shot)	33119	131	4099	True	2,080 ± 700 / 331 ± 117	3.20	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
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
microsoft/Phi-3-mini-4k-instruct (few-shot)	3821	32	4096	True	8,681 ± 1,650 / 2,177 ± 717	3.20	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
tollefj/nordavind-7b-instruct-warm (few-shot)	7248	33	2048	False	6,450 ± 961 / 2,082 ± 658	3.20	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
AI-Sweden-Models/gpt-sw3-20b (few-shot)	20918	64	2048	True	1,875 ± 673 / 261 ± 91	3.21	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
Twitter/twhin-bert-large	561	250	512	True	9,707 ± 1,664 / 2,549 ± 831	3.21	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
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
meta-llama/Llama-2-7b-chat-hf (few-shot)	6738	32	4096	False	2,643 ± 455 / 800 ± 247	3.21	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
abhishek/autotrain-llama3-orpo-v2 (few-shot)	8030	128	8192	False	1,471 ± 374 / 283 ± 96	3.22	62.25 ± 2.48 / 54.17 ± 2.66	59.50 ± 1.84 / 54.00 ± 2.95	22.79 ± 1.34 / 30.95 ± 1.20	8.51 ± 1.84 / 42.76 ± 2.98	5.10 ± 1.82 / 40.49 ± 2.88	43.34 ± 4.84 / 68.05 ± 3.80	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
NorwAI/NorwAI-Llama2-7B (few-shot)	7033	68	4096	True	4,438 ± 1,128 / 1,028 ± 346	3.23	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
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
norallm/normistral-7b-warm-instruct (few-shot)	unknown	33	2048	True	6,194 ± 949 / 1,967 ± 619	3.23	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
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
sarnikowski/convbert-small-da-cased	13	29	512	True	14,273 ± 2,312 / 3,555 ± 1,187	3.24	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
microsoft/Phi-3-mini-128k-instruct (few-shot)	3821	32	131072	True	7,312 ± 1,668 / 1,609 ± 525	3.25	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
DDSC/roberta-base-danish	125	50	512	True	15,004 ± 2,964 / 3,290 ± 1,092	3.26	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
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
AI-Sweden-Models/gpt-sw3-20b-instruct (few-shot)	20918	64	2048	True	1,831 ± 587 / 268 ± 90	3.28	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
AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot)	7111	64	2048	True	2,351 ± 448 / 707 ± 216	3.28	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
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
Maltehb/danish-bert-botxo	111	32	512	True	16,091 ± 2,427 / 4,575 ± 1,485	3.29	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
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	3.30	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	3.30	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
ibm-granite/granite-3.0-2b-base (few-shot)	2534	49	4097	True	10,187 ± 2,363 / 2,204 ± 737	3.32	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
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
bineric/NorskGPT-Llama3-8b (few-shot)	8030	128	8192	False	3,382 ± 383 / 1,309 ± 509	3.33	64.34 ± 2.67 / 57.96 ± 2.14	59.50 ± 3.79 / 56.59 ± 3.46	35.60 ± 0.91 / 38.71 ± 0.43	31.69 ± 2.05 / 64.62 ± 0.78	24.58 ± 1.68 / 59.41 ± 2.26	0.10 ± 0.05 / 28.89 ± 5.58	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
Qwen/Qwen1.5-4B (few-shot)	3950	152	32768	True	3,248 ± 739 / 761 ± 252	3.35	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
AI-Sweden-Models/gpt-sw3-40b (few-shot)	39927	64	2048	True	409 ± 53 / 182 ± 54	3.36	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/aelaectra-danish-electra-small-cased	14	32	128	True	4,593 ± 114 / 3,034 ± 973	3.36	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	3.37	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
dbmdz/bert-base-historic-multilingual-cased	111	32	512	True	20,047 ± 4,407 / 3,844 ± 1,259	3.38	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
nvidia/mistral-nemo-minitron-8b-instruct (few-shot)	8414	131	8192	True	3,161 ± 676 / 1,247 ± 481	3.38	63.70 ± 0.98 / 39.82 ± 2.02	62.53 ± 1.64 / 40.20 ± 2.22	34.35 ± 0.92 / 37.57 ± 0.55	31.53 ± 1.91 / 64.14 ± 1.52	22.71 ± 2.23 / 57.77 ± 2.48	0.06 ± 0.04 / 26.09 ± 1.72	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1
NbAiLab/nb-llama-3.1-8B (few-shot)	8030	128	131072	True	1,297 ± 338 / 245 ± 83	3.40	51.85 ± 2.62 / 39.77 ± 2.84	54.79 ± 2.20 / 44.97 ± 2.37	31.84 ± 1.39 / 35.10 ± 1.48	36.30 ± 2.59 / 64.51 ± 1.65	32.19 ± 2.36 / 62.68 ± 2.41	0.71 ± 0.32 / 21.70 ± 1.90	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
claude-3-5-haiku-20241022 (zero-shot, val)	unknown	unknown	200000	True	277 ± 77 / 70 ± 25	3.40	69.39 ± 2.58 / 47.10 ± 3.14	62.76 ± 2.10 / 42.75 ± 2.27	3.97 ± 1.70 / 32.77 ± 0.95	31.65 ± 2.14 / 54.96 ± 1.11	5.86 ± 3.28 / 38.81 ± 1.69	36.65 ± 1.08 / 66.51 ± 0.83	14.0.3	14.0.3	14.0.2	14.0.3	14.0.3	14.0.3
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot)	8030	128	131072	True	2,996 ± 817 / 284 ± 96	3.40	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-sw3-6.7b-v2-instruct (few-shot)	7111	64	2048	True	1,473 ± 493 / 448 ± 143	3.41	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
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot)	1445	64	2048	True	4,544 ± 1,000 / 1,106 ± 359	3.42	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	3.43	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	3.43	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
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot)	3374	49	4096	True	10,246 ± 3,021 / 1,629 ± 550	3.44	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
norallm/normistral-7b-warm (few-shot)	7248	33	2048	True	3,175 ± 456 / 1,186 ± 354	3.44	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
stabilityai/stablelm-2-1_6b (few-shot)	1645	100	4096	True	7,259 ± 2,120 / 1,240 ± 432	3.48	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	3.50	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
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
LumiOpen/Viking-7B (few-shot)	7550	131	4096	True	1,431 ± 352 / 287 ± 97	3.53	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
ibm-granite/granite-3b-code-instruct-2k (few-shot)	3483	49	2048	True	9,059 ± 1,947 / 2,201 ± 728	3.55	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
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
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot)	7242	32	32768	False	5,172 ± 813 / 1,647 ± 518	3.57	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	3.57	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
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
ibm-granite/granite-3.0-3b-a800m-base (few-shot)	3374	49	4096	True	10,504 ± 3,028 / 1,678 ± 559	3.60	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	3.62	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
meta-llama/Llama-3.2-1B-Instruct (few-shot)	1236	128	131073	False	7,436 ± 1,846 / 1,508 ± 479	3.71	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
sentence-transformers/distiluse-base-multilingual-cased-v2	135	120	512	True	33,247 ± 8,123 / 6,017 ± 1,977	3.71	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	3.71	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
openGPT-X/Teuken-7B-instruct-research-v0.4 (few-shot)	7453	251	4096	False	1,254 ± 328 / 243 ± 83	3.72	37.36 ± 1.61 / 24.19 ± 1.65	42.83 ± 1.41 / 28.06 ± 1.69	16.02 ± 6.40 / 30.81 ± 5.11	-0.08 ± 0.82 / 33.74 ± 0.41	2.29 ± 1.78 / 35.36 ± 1.11	31.60 ± 1.36 / 56.15 ± 1.66	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
ibm-granite/granite-7b-instruct (few-shot)	6738	32	4096	True	3,136 ± 558 / 942 ± 290	3.73	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
NorwAI/NorwAI-Mistral-7B-instruct (few-shot)	7537	68	4096	False	3,027 ± 503 / 903 ± 296	3.74	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
AI-Sweden-Models/gpt-sw3-6.7b (few-shot)	7111	64	2048	True	2,285 ± 443 / 671 ± 205	3.75	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
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
AI-Sweden-Models/gpt-sw3-356m (few-shot)	471	64	2048	True	5,758 ± 1,348 / 1,215 ± 391	3.77	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
HPLT/gpt-13b-nordic-prerelease (few-shot)	14030	131	4099	True	3,520 ± 736 / 823 ± 273	3.77	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-sw3-356m-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
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
sentence-transformers/distiluse-base-multilingual-cased-v1	135	120	512	True	34,042 ± 8,482 / 5,951 ± 1,950	3.80	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
EuropeanParliament/EUBERT	94	66	512	True	20,070 ± 3,977 / 4,400 ± 1,435	3.81	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	3.82	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
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
openGPT-X/Teuken-7B-instruct-commercial-v0.4 (few-shot)	7453	251	4096	True	1,438 ± 410 / 233 ± 79	3.83	34.78 ± 2.34 / 27.42 ± 1.71	39.00 ± 3.24 / 31.27 ± 2.29	10.69 ± 5.81 / 26.94 ± 3.14	6.17 ± 1.50 / 50.50 ± 1.78	5.90 ± 1.38 / 49.15 ± 2.88	31.25 ± 2.01 / 55.30 ± 2.29	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
KBLab/albert-base-swedish-cased-alpha	14	50	512	True	15,925 ± 2,281 / 4,780 ± 1,554	3.84	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	3.84	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	3.85	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
mhenrichsen/danskgpt-tiny-chat (few-shot)	1100	32	2048	False	1,745 ± 978 / 686 ± 159	3.89	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	1,382 ± 337 / 257 ± 91	3.98	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
HuggingFaceTB/SmolLM2-1.7B (few-shot)	1711	49	8192	True	16,249 ± 3,690 / 3,689 ± 1,226	4.01	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	4.01	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
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
3ebdola/Dialectal-Arabic-XLM-R-Base	278	250	512	True	12,783 ± 2,537 / 2,712 ± 885	4.05	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
ibm-granite/granite-3.0-1b-a400m-instruct (few-shot)	1335	49	4096	True	7,964 ± 2,255 / 1,299 ± 433	4.07	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
Qwen/Qwen1.5-1.8B-Chat (few-shot)	1837	152	32768	False	8,304 ± 1,846 / 1,933 ± 617	4.08	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
RuterNorway/Llama-2-7b-chat-norwegian (few-shot)	unknown	32	4096	False	10,890 ± 2,686 / 2,186 ± 750	4.09	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
PleIAs/Pleias-1.2b-Preview (few-shot)	1195	66	2048	True	10,756 ± 3,589 / 1,157 ± 670	4.10	38.96 ± 2.67 / 36.82 ± 3.28	40.42 ± 2.43 / 38.81 ± 2.83	19.42 ± 3.09 / 26.64 ± 4.19	-0.13 ± 0.55 / 33.43 ± 0.23	0.77 ± 1.22 / 33.80 ± 0.25	4.70 ± 1.89 / 8.66 ± 3.16	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
PleIAs/Pleias-3b-Preview (few-shot)	3212	66	4096	True	6,513 ± 1,241 / 1,282 ± 644	4.10	28.82 ± 3.76 / 28.03 ± 3.72	27.81 ± 4.34 / 26.00 ± 4.14	18.74 ± 2.86 / 27.39 ± 3.91	-0.46 ± 1.39 / 36.22 ± 3.32	-0.84 ± 1.32 / 37.42 ± 3.48	12.66 ± 1.66 / 21.98 ± 3.16	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
dbmdz/bert-tiny-historic-multilingual-cased	5	32	512	True	78,027 ± 15,466 / 17,064 ± 5,335	4.13	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
NbAiLab/nb-llama-3.1-8B-Instruct (few-shot)	8030	128	131072	True	1,296 ± 335 / 246 ± 84	4.14	31.65 ± 4.34 / 29.36 ± 4.02	31.54 ± 4.82 / 29.54 ± 3.81	10.64 ± 5.92 / 21.52 ± 5.77	1.81 ± 1.27 / 35.34 ± 1.90	1.72 ± 1.20 / 33.81 ± 0.41	16.32 ± 7.40 / 32.61 ± 10.34	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
Qwen/Qwen1.5-1.8B (few-shot)	1837	152	32768	True	5,666 ± 1,328 / 1,256 ± 408	4.15	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
allenai/OLMo-7B (few-shot)	6888	50	2051	True	5,403 ± 1,133 / 1,294 ± 423	4.15	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
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
mhenrichsen/danskgpt-tiny (few-shot)	1100	32	2048	True	8,597 ± 1,983 / 1,926 ± 600	4.19	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
PleIAs/Pleias-Nano (few-shot)	1195	66	2048	True	2,519 ± 841 / 323 ± 104	4.23	27.47 ± 4.87 / 27.10 ± 3.15	23.82 ± 4.37 / 27.33 ± 3.71	22.22 ± 1.30 / 32.60 ± 1.49	-2.06 ± 1.97 / 35.29 ± 1.70	-0.77 ± 1.41 / 35.74 ± 1.76	2.48 ± 1.20 / 5.33 ± 1.94	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
Qwen/Qwen1.5-0.5B-Chat (few-shot)	620	152	32768	False	11,740 ± 3,000 / 2,209 ± 721	4.30	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
allenai/OLMo-7B-Twin-2T (few-shot)	6888	50	2051	True	5,484 ± 1,125 / 1,317 ± 425	4.30	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
tiiuae/Falcon3-1B-Instruct (few-shot)	1669	131	8192	True	9,270 ± 2,690 / 1,434 ± 437	4.31	29.25 ± 2.15 / 28.34 ± 2.25	25.45 ± 1.96 / 24.62 ± 1.86	11.28 ± 0.71 / 22.46 ± 2.54	1.52 ± 1.26 / 40.82 ± 4.08	0.52 ± 1.60 / 41.23 ± 4.21	8.47 ± 0.94 / 20.43 ± 2.10	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
NbAiLab/nb-llama-3.2-1B (few-shot)	1236	128	131072	True	3,424 ± 1,080 / 464 ± 158	4.32	10.60 ± 5.84 / 10.10 ± 5.81	22.63 ± 4.50 / 21.78 ± 4.61	19.76 ± 6.05 / 25.69 ± 5.67	2.80 ± 1.41 / 41.56 ± 3.36	0.17 ± 2.00 / 37.59 ± 2.30	3.99 ± 1.17 / 14.63 ± 2.66	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
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	4.34	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
AI-Sweden-Models/gpt-sw3-126m-instruct (few-shot)	186	64	2048	True	7,717 ± 1,553 / 2,013 ± 625	4.36	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
fresh-xlm-roberta-base	278	250	512	True	2,214 ± 94 / 1,494 ± 229	4.37	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
NbAiLab/nb-gpt-j-6B-v2 (few-shot)	6051	50	1024	False	2,556 ± 580 / 681 ± 214	4.40	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
allenai/OLMo-1B (few-shot)	1177	50	2051	True	8,536 ± 1,926 / 1,940 ± 619	4.40	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
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	4.45	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	4.46	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
PleIAs/Pleias-350m-Preview (few-shot)	353	66	2048	True	10,242 ± 3,432 / 1,335 ± 484	4.49	26.59 ± 2.14 / 26.61 ± 2.49	26.78 ± 1.46 / 26.94 ± 1.92	7.91 ± 2.20 / 17.44 ± 3.42	0.28 ± 1.08 / 36.00 ± 3.05	0.04 ± 1.65 / 41.17 ± 5.30	0.65 ± 0.40 / 2.88 ± 1.01	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
NbAiLab/nb-llama-3.2-3B (few-shot)	3213	128	131072	True	1,880 ± 556 / 280 ± 95	4.51	2.73 ± 3.17 / 2.88 ± 3.11	0.26 ± 0.13 / 0.32 ± 0.24	15.10 ± 3.49 / 25.71 ± 3.00	13.58 ± 3.65 / 44.75 ± 5.83	7.78 ± 4.19 / 42.13 ± 6.04	0.15 ± 0.11 / 16.40 ± 2.06	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
PleIAs/Pleias-Pico (few-shot)	353	66	2048	True	2,331 ± 787 / 301 ± 97	4.52	25.02 ± 2.09 / 25.54 ± 2.29	21.59 ± 3.84 / 21.51 ± 4.17	8.05 ± 2.35 / 22.59 ± 2.42	-0.15 ± 1.40 / 36.65 ± 4.39	-0.97 ± 1.78 / 39.00 ± 3.45	0.37 ± 0.29 / 2.47 ± 0.84	14.0.4	14.0.4	14.1.2	14.1.2	14.1.2	14.0.4
NbAiLab/nb-gpt-j-6B@sharded (few-shot)	unknown	50	1024	True	2,630 ± 605 / 684 ± 217	4.54	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	4.61	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	4.65	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
NorGLM/NorGPT-369M (few-shot)	unknown	64	1024	True	19,896 ± 5,099 / 3,848 ± 1,251	4.80	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
ai-forever/mGPT (few-shot)	unknown	100	1024	True	11,734 ± 3,124 / 2,174 ± 720	4.84	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
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
RJuro/kanelsnegl-v0.2 (few-shot)	7242	32	512	True	1,373 ± 120 / 709 ± 172	4.91	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
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
Sigurdur/icebreaker (few-shot)	110	32	1024	False	48,619 ± 7,681 / 13,831 ± 4,404	4.93	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
ssmits/Falcon2-5.5B-multilingual (few-shot)	5465	65	8192	True	7,692 ± 1,423 / 1,960 ± 644	4.93	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

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