mainland-scandinavian-nlg-test.md

layout	title
leaderboard	Mainland Scandinavian NLG 🇩🇰🇳🇴🇸🇪

Last updated: 11/01/2025 11:04:28 CET

Include merged models

Model ID	Parameters	Vocabulary size	Context	Commercial	Speed	Rank	Danish Rank	Norwegian Rank	Swedish Rank	DANSK	Angry Tweets	ScaLA-da	ScandiQA-da	Nordjylland-News	Danske Talemaader	Danish Citizen Tests	HellaSwag-da	NorNE-nb	NorNE-nn	NoReC	No Sammendrag	ScaLA-nb	ScaLA-nn	NorQuAD	MMLU-no	HellaSwag-no	SUC3	SweReC	ScaLA-sv	ScandiQA-sv	SweDN	MMLU-sv	HellaSwag-sv	DANSK version	Angry Tweets version	ScaLA-da version	ScandiQA-da version	Nordjylland-News version	Danske Talemaader version	Danish Citizen Tests version	HellaSwag-da version	NorNE-nb version	NorNE-nn version	NoReC version	No Sammendrag version	ScaLA-nb version	ScaLA-nn version	NorQuAD version	MMLU-no version	HellaSwag-no version	SUC3 version	SweReC version	ScaLA-sv version	ScandiQA-sv version	SweDN version	MMLU-sv version	HellaSwag-sv version
gpt-4-0613 (few-shot, val)	unknown	100	8192	True	597 ± 197 / 93 ± 33	1.21	1.19	1.24	1.19	64.94 ± 1.96 / 45.76 ± 3.31	59.97 ± 2.65 / 73.06 ± 1.77	71.56 ± 2.49 / 85.36 ± 1.29	56.43 ± 2.98 / 68.46 ± 1.64	66.76 ± 0.34 / 18.99 ± 0.52	94.93 ± 1.03 / 96.21 ± 0.77	93.98 ± 2.15 / 95.94 ± 1.44	81.64 ± 1.80 / 86.17 ± 1.34	81.16 ± 2.46 / 63.39 ± 4.07	75.75 ± 4.49 / 60.44 ± 5.46	72.72 ± 3.20 / 81.35 ± 2.22	65.92 ± 0.28 / 19.24 ± 0.59	77.30 ± 2.97 / 88.39 ± 1.60	57.18 ± 3.91 / 76.40 ± 2.66	47.50 ± 2.86 / 75.24 ± 1.32	68.77 ± 2.09 / 76.56 ± 1.57	88.30 ± 1.32 / 91.13 ± 0.98	76.86 ± 1.89 / 54.97 ± 4.44	79.19 ± 1.87 / 80.56 ± 1.82	80.93 ± 1.67 / 89.90 ± 0.93	53.81 ± 1.28 / 65.15 ± 1.11	67.83 ± 0.15 / 22.67 ± 0.39	72.53 ± 1.82 / 79.26 ± 1.44	85.67 ± 2.59 / 89.14 ± 2.05	0.0.0	0.0.0	0.0.0	12.9.0	12.6.1	10.0.1	10.0.1	9.1.2	0.0.0	0.0.0	0.0.0	9.3.2	0.0.0	0.0.0	12.9.0	9.3.2	9.3.2	0.0.0	0.0.0	0.0.0	12.9.0	9.3.2	9.3.2	9.3.2
gpt-4-1106-preview (few-shot, val)	unknown	100	128000	True	576 ± 221 / 81 ± 28	1.28	1.19	1.40	1.24	66.80 ± 3.01 / 45.69 ± 2.85	61.62 ± 2.17 / 73.99 ± 1.48	66.84 ± 3.27 / 82.79 ± 1.86	56.85 ± 2.62 / 68.83 ± 1.50	66.21 ± 0.44 / 18.02 ± 0.61	95.21 ± 0.55 / 96.41 ± 0.41	97.19 ± 1.15 / 98.12 ± 0.76	78.74 ± 3.12 / 83.91 ± 2.42	77.48 ± 2.32 / 55.87 ± 2.83	78.70 ± 2.78 / 57.58 ± 4.23	62.55 ± 2.82 / 72.41 ± 2.42	63.60 ± 0.15 / 13.15 ± 0.35	74.45 ± 4.27 / 86.22 ± 2.49	56.31 ± 5.81 / 74.04 ± 4.03	44.67 ± 3.23 / 73.39 ± 1.83	70.84 ± 1.92 / 78.12 ± 1.44	86.30 ± 2.04 / 89.53 ± 1.60	74.45 ± 3.09 / 49.97 ± 4.23	77.59 ± 1.38 / 78.78 ± 1.69	71.35 ± 3.10 / 83.98 ± 2.23	56.56 ± 1.39 / 66.76 ± 1.10	66.08 ± 0.14 / 17.19 ± 0.38	71.32 ± 1.56 / 78.48 ± 1.15	84.09 ± 2.99 / 88.01 ± 2.26	12.10.0	12.10.2	12.10.2	12.10.0	12.10.0	12.10.2	12.10.2	12.10.2	12.10.0	12.10.0	12.10.2	12.10.0	12.10.2	12.10.2	12.10.0	12.10.2	12.10.2	12.10.0	12.10.2	12.10.2	12.10.0	12.10.0	12.10.2	12.10.2
gpt-4o-2024-05-13 (few-shot, val)	unknown	200	128000	True	916 ± 329 / 114 ± 38	1.30	1.24	1.38	1.28	71.15 ± 2.89 / 52.24 ± 3.76	49.42 ± 3.29 / 61.74 ± 2.59	64.59 ± 2.97 / 79.93 ± 1.88	57.35 ± 2.51 / 67.87 ± 1.75	66.03 ± 0.24 / 17.74 ± 0.71	96.41 ± 0.63 / 97.30 ± 0.48	97.68 ± 1.06 / 98.44 ± 0.72	85.96 ± 1.48 / 89.41 ± 1.15	79.07 ± 3.01 / 64.17 ± 3.51	81.56 ± 2.45 / 64.06 ± 4.11	66.66 ± 1.91 / 77.70 ± 1.29	63.25 ± 0.26 / 13.02 ± 0.33	64.53 ± 6.09 / 79.17 ± 4.89	54.70 ± 4.36 / 74.94 ± 3.26	43.51 ± 3.40 / 74.52 ± 1.79	73.81 ± 1.88 / 80.39 ± 1.45	89.91 ± 1.13 / 92.42 ± 0.83	76.66 ± 2.11 / 60.34 ± 4.71	77.16 ± 2.65 / 79.22 ± 2.36	68.99 ± 4.33 / 83.37 ± 2.61	57.96 ± 1.35 / 67.71 ± 0.96	66.00 ± 0.29 / 16.97 ± 0.45	70.70 ± 1.32 / 77.97 ± 0.99	86.30 ± 2.23 / 89.65 ± 1.68	12.10.0	12.10.2	12.10.2	12.10.0	12.10.0	12.10.2	12.10.2	12.10.2	12.10.0	12.10.0	12.10.2	12.10.0	12.10.2	12.10.2	12.10.0	12.10.2	12.10.2	12.10.0	12.10.2	12.10.2	12.10.0	12.10.0	12.10.2	12.10.2
meta-llama/Llama-3.1-405B-Instruct-FP8 (few-shot)	405869	128	131072	True	799 ± 246 / 112 ± 38	1.34	1.15	1.61	1.25	71.94 ± 1.37 / 61.59 ± 1.44	61.26 ± 1.20 / 73.27 ± 0.95	64.94 ± 1.80 / 81.65 ± 1.13	56.00 ± 2.32 / 66.00 ± 1.23	67.44 ± 0.26 / 21.15 ± 0.71	89.91 ± 0.92 / 92.43 ± 0.69	96.37 ± 0.73 / 97.58 ± 0.49	81.66 ± 1.00 / 86.23 ± 0.75	82.44 ± 1.19 / 81.86 ± 1.20	82.17 ± 0.89 / 82.07 ± 1.38	40.55 ± 0.50 / 40.35 ± 0.39	66.76 ± 0.53 / 19.71 ± 1.09	63.91 ± 1.57 / 79.76 ± 1.13	45.93 ± 1.97 / 67.09 ± 1.85	45.33 ± 1.59 / 73.27 ± 1.24	73.55 ± 1.00 / 80.20 ± 0.75	81.37 ± 0.81 / 86.02 ± 0.61	76.27 ± 1.55 / 73.77 ± 1.72	80.70 ± 0.46 / 79.67 ± 0.67	68.85 ± 1.48 / 83.10 ± 0.95	56.41 ± 2.22 / 66.31 ± 1.05	67.18 ± 0.12 / 20.05 ± 0.26	75.85 ± 0.70 / 81.89 ± 0.53	81.49 ± 0.52 / 86.08 ± 0.40	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
meta-llama/Meta-Llama-3-70B (few-shot, val)	70554	128	8192	True	312 ± 55 / 177 ± 51	1.44	1.42	1.48	1.42	63.62 ± 3.74 / 53.29 ± 3.38	60.19 ± 3.31 / 73.13 ± 2.17	50.07 ± 5.86 / 72.94 ± 4.16	60.97 ± 2.76 / 66.71 ± 2.27	67.33 ± 1.41 / 22.84 ± 1.49	83.94 ± 1.20 / 87.93 ± 0.88	78.83 ± 3.17 / 85.39 ± 2.14	60.69 ± 4.11 / 69.38 ± 3.63	75.31 ± 3.84 / 64.90 ± 4.05	75.94 ± 4.62 / 62.81 ± 5.25	66.74 ± 4.50 / 74.89 ± 3.69	65.78 ± 1.11 / 20.46 ± 1.79	59.82 ± 3.52 / 79.17 ± 2.10	47.56 ± 3.52 / 71.91 ± 1.79	60.87 ± 4.82 / 82.30 ± 2.52	62.45 ± 1.70 / 71.60 ± 1.37	65.29 ± 3.59 / 72.50 ± 3.24	74.61 ± 2.99 / 56.50 ± 6.30	78.61 ± 1.40 / 78.64 ± 1.53	63.20 ± 3.34 / 80.61 ± 2.52	61.98 ± 1.65 / 66.85 ± 1.42	67.60 ± 0.41 / 22.47 ± 0.82	61.55 ± 1.68 / 71.02 ± 1.21	66.21 ± 3.22 / 73.40 ± 2.77	12.7.0	12.6.1	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
meta-llama/Llama-3.1-70B-Instruct (few-shot)	70554	128	131072	True	1,409 ± 457 / 186 ± 63	1.52	1.35	1.78	1.42	68.57 ± 0.95 / 50.90 ± 2.30	60.52 ± 1.22 / 72.91 ± 1.05	57.57 ± 0.79 / 78.54 ± 0.46	54.33 ± 1.19 / 63.94 ± 0.72	68.01 ± 0.18 / 22.86 ± 0.45	87.22 ± 1.10 / 90.39 ± 0.83	92.93 ± 1.26 / 95.29 ± 0.84	70.23 ± 1.06 / 77.20 ± 0.89	80.05 ± 0.87 / 67.79 ± 1.90	80.67 ± 0.92 / 69.11 ± 3.29	40.65 ± 0.45 / 40.56 ± 0.29	66.56 ± 0.47 / 19.70 ± 1.10	56.42 ± 1.70 / 76.10 ± 1.29	38.21 ± 3.25 / 64.61 ± 2.89	49.22 ± 2.20 / 74.92 ± 1.35	65.19 ± 0.76 / 73.71 ± 0.58	69.47 ± 1.66 / 76.67 ± 1.30	72.16 ± 1.93 / 50.59 ± 2.82	81.69 ± 0.62 / 81.33 ± 0.85	63.97 ± 1.73 / 81.83 ± 0.85	57.99 ± 1.26 / 66.35 ± 0.76	66.85 ± 0.08 / 19.44 ± 0.20	69.59 ± 0.71 / 77.05 ± 0.52	70.40 ± 1.27 / 77.35 ± 1.04	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
google/gemma-2-27b-it (few-shot)	27227	256	8193	True	1,516 ± 257 / 480 ± 148	1.54	1.41	1.63	1.59	59.94 ± 1.58 / 38.00 ± 1.88	59.06 ± 0.91 / 72.86 ± 0.56	58.57 ± 2.19 / 78.63 ± 1.31	57.48 ± 0.75 / 65.60 ± 0.65	68.12 ± 1.10 / 23.96 ± 1.22	85.20 ± 0.83 / 88.80 ± 0.65	84.02 ± 1.63 / 89.32 ± 1.09	71.26 ± 1.64 / 78.17 ± 1.28	67.35 ± 2.33 / 56.75 ± 3.04	66.61 ± 1.81 / 57.24 ± 4.35	67.14 ± 1.22 / 78.63 ± 0.96	66.24 ± 0.95 / 20.99 ± 0.81	64.66 ± 1.38 / 81.94 ± 0.79	52.49 ± 2.01 / 75.95 ± 1.15	44.85 ± 2.17 / 73.41 ± 1.61	58.34 ± 1.14 / 68.54 ± 0.88	70.87 ± 2.22 / 77.92 ± 1.72	62.59 ± 2.04 / 45.11 ± 4.50	80.73 ± 0.52 / 81.25 ± 0.57	61.37 ± 2.06 / 79.34 ± 1.59	58.76 ± 1.03 / 66.73 ± 0.59	65.54 ± 0.91 / 19.89 ± 0.36	58.15 ± 1.11 / 68.33 ± 0.83	68.94 ± 1.51 / 76.41 ± 1.17	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
meta-llama/Llama-3.3-70B-Instruct (few-shot)	70554	128	131072	True	1,353 ± 443 / 180 ± 61	1.54	1.39	1.79	1.43	67.07 ± 1.22 / 48.82 ± 2.09	59.89 ± 0.97 / 72.51 ± 0.84	56.56 ± 2.10 / 77.06 ± 1.62	49.02 ± 0.61 / 62.78 ± 0.39	67.00 ± 0.17 / 20.23 ± 0.45	87.31 ± 0.95 / 90.47 ± 0.71	94.13 ± 0.91 / 96.09 ± 0.61	76.43 ± 0.81 / 82.11 ± 0.65	79.84 ± 1.02 / 67.96 ± 2.10	79.93 ± 0.81 / 68.93 ± 2.65	41.11 ± 0.41 / 40.48 ± 0.38	65.38 ± 0.46 / 16.49 ± 1.02	57.84 ± 1.77 / 77.97 ± 1.19	43.52 ± 2.51 / 69.59 ± 2.20	40.92 ± 1.45 / 69.52 ± 1.07	66.69 ± 0.64 / 74.99 ± 0.47	75.66 ± 1.08 / 81.60 ± 0.80	71.98 ± 2.05 / 51.44 ± 3.30	81.15 ± 0.64 / 80.25 ± 0.97	64.46 ± 1.14 / 81.56 ± 0.73	51.22 ± 1.77 / 64.14 ± 1.00	66.63 ± 0.10 / 18.54 ± 0.22	70.79 ± 0.74 / 78.05 ± 0.55	75.48 ± 0.71 / 81.42 ± 0.56	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	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	1.56	1.45	1.78	1.44	64.80 ± 1.56 / 45.57 ± 1.47	53.07 ± 1.45 / 68.64 ± 1.04	64.18 ± 3.36 / 81.90 ± 1.68	49.02 ± 1.18 / 63.09 ± 1.29	64.78 ± 0.17 / 13.85 ± 0.23	90.74 ± 1.55 / 93.05 ± 1.15	95.22 ± 1.04 / 96.80 ± 0.70	78.10 ± 2.23 / 83.59 ± 1.69	77.72 ± 1.59 / 57.89 ± 2.50	71.70 ± 2.52 / 50.78 ± 2.60	36.27 ± 1.67 / 35.73 ± 0.92	62.76 ± 0.16 / 10.95 ± 0.13	71.70 ± 2.39 / 85.59 ± 1.30	58.79 ± 1.33 / 76.83 ± 0.92	40.95 ± 1.31 / 72.82 ± 0.88	69.22 ± 1.77 / 76.95 ± 1.30	76.40 ± 1.27 / 82.27 ± 0.91	75.06 ± 2.26 / 44.92 ± 1.50	74.85 ± 2.89 / 74.58 ± 2.54	65.23 ± 2.16 / 80.52 ± 1.22	53.02 ± 1.40 / 63.85 ± 1.17	65.80 ± 0.15 / 15.36 ± 0.14	71.87 ± 1.77 / 78.87 ± 1.32	69.98 ± 2.38 / 77.42 ± 1.70	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
Qwen/Qwen2.5-72B-Instruct (few-shot)	72706	152	32768	True	1,219 ± 412 / 158 ± 53	1.61	1.46	1.85	1.53	63.81 ± 1.27 / 42.18 ± 2.59	54.50 ± 1.55 / 69.89 ± 1.02	57.19 ± 1.30 / 78.30 ± 0.79	55.77 ± 0.97 / 67.26 ± 0.69	64.62 ± 0.14 / 14.36 ± 0.29	82.81 ± 0.92 / 87.00 ± 0.70	87.32 ± 1.12 / 91.56 ± 0.75	77.57 ± 0.86 / 83.06 ± 0.66	72.21 ± 1.25 / 49.58 ± 2.05	70.24 ± 1.23 / 52.09 ± 2.38	39.85 ± 0.65 / 39.69 ± 0.52	62.86 ± 0.09 / 11.19 ± 0.11	63.14 ± 1.27 / 81.41 ± 0.62	43.24 ± 1.56 / 71.36 ± 0.86	43.41 ± 3.02 / 73.20 ± 2.14	70.20 ± 1.16 / 77.50 ± 0.86	76.79 ± 1.16 / 82.49 ± 0.90	62.12 ± 2.14 / 39.19 ± 2.64	79.89 ± 0.97 / 80.23 ± 0.85	61.71 ± 1.08 / 80.82 ± 0.54	54.99 ± 0.94 / 66.56 ± 0.46	65.38 ± 0.08 / 16.18 ± 0.12	70.61 ± 0.65 / 77.88 ± 0.48	76.53 ± 0.83 / 82.29 ± 0.62	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
ThatsGroes/gemma-2-27b-it-FP8-Dynamic (few-shot)	28411	256	4096	True	3,633 ± 1,236 / 777 ± 220	1.69	1.46	1.93	1.69	66.50 ± 2.00 / 45.33 ± 2.92	58.93 ± 1.72 / 72.70 ± 1.38	57.27 ± 1.30 / 78.52 ± 0.62	55.02 ± 0.88 / 64.14 ± 0.46	66.59 ± 0.08 / 19.30 ± 0.16	81.37 ± 1.50 / 85.99 ± 1.12	83.16 ± 0.99 / 88.81 ± 0.65	67.83 ± 1.38 / 75.47 ± 1.13	76.25 ± 1.39 / 60.31 ± 3.22	77.91 ± 0.47 / 61.81 ± 3.84	40.54 ± 0.72 / 39.96 ± 0.60	64.53 ± 0.08 / 15.13 ± 0.19	59.75 ± 1.66 / 78.91 ± 1.21	47.82 ± 2.00 / 73.51 ± 1.21	40.99 ± 1.38 / 69.77 ± 1.17	56.11 ± 0.87 / 66.82 ± 0.63	67.72 ± 1.98 / 75.38 ± 1.55	62.91 ± 1.46 / 47.13 ± 3.48	79.51 ± 0.63 / 79.57 ± 0.65	60.28 ± 1.19 / 79.99 ± 0.66	55.44 ± 0.92 / 64.81 ± 0.62	65.24 ± 0.08 / 17.65 ± 0.12	56.40 ± 0.94 / 67.07 ± 0.71	65.89 ± 1.34 / 73.88 ± 1.11	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
Qwen/QwQ-32B-Preview (few-shot)	32764	152	32768	True	2,258 ± 1,221 / 198 ± 67	1.74	1.60	2.01	1.60	64.66 ± 1.67 / 48.66 ± 3.44	53.42 ± 1.21 / 66.49 ± 1.21	53.93 ± 1.76 / 76.52 ± 1.14	55.55 ± 0.70 / 65.32 ± 0.49	64.54 ± 0.23 / 14.49 ± 0.50	72.75 ± 1.86 / 79.36 ± 1.42	78.49 ± 1.23 / 85.70 ± 0.81	74.11 ± 2.07 / 80.07 ± 1.72	75.68 ± 1.44 / 63.54 ± 3.33	75.89 ± 0.88 / 63.84 ± 4.94	38.41 ± 0.87 / 38.78 ± 0.71	62.79 ± 0.40 / 11.74 ± 0.41	56.42 ± 1.37 / 77.77 ± 0.78	39.34 ± 2.27 / 69.48 ± 1.18	44.35 ± 3.74 / 71.44 ± 3.05	61.53 ± 0.80 / 70.75 ± 0.62	67.36 ± 1.40 / 74.69 ± 1.14	69.73 ± 1.67 / 54.58 ± 4.83	78.76 ± 0.99 / 74.72 ± 2.08	57.57 ± 1.55 / 77.98 ± 1.00	56.43 ± 0.59 / 66.23 ± 0.53	65.53 ± 0.08 / 16.64 ± 0.08	64.02 ± 0.99 / 72.70 ± 0.81	67.11 ± 2.52 / 74.35 ± 2.14	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
meta-llama/Meta-Llama-3-70B-Instruct (few-shot, val)	70554	128	8192	True	1,673 ± 583 / 275 ± 85	1.75	1.61	1.80	1.84	63.10 ± 2.12 / 55.10 ± 1.44	53.09 ± 3.85 / 68.18 ± 2.27	40.98 ± 4.46 / 69.10 ± 2.72	51.13 ± 1.89 / 63.12 ± 1.61	67.76 ± 0.99 / 23.19 ± 0.71	85.18 ± 1.92 / 88.91 ± 1.44	79.22 ± 2.40 / 85.70 ± 1.72	70.19 ± 2.71 / 77.54 ± 2.05	80.50 ± 2.85 / 76.71 ± 2.48	76.47 ± 3.13 / 73.94 ± 2.95	59.29 ± 5.92 / 69.99 ± 4.80	65.70 ± 0.63 / 19.36 ± 0.99	47.28 ± 3.57 / 69.23 ± 3.04	32.76 ± 3.80 / 60.66 ± 3.10	39.71 ± 2.59 / 71.60 ± 1.57	63.58 ± 1.91 / 72.58 ± 1.42	63.41 ± 2.52 / 71.91 ± 1.89	77.06 ± 2.72 / 67.75 ± 5.69	53.56 ± 7.15 / 67.07 ± 3.93	47.50 ± 3.37 / 71.31 ± 2.69	46.86 ± 1.77 / 60.96 ± 1.04	68.25 ± 0.18 / 22.84 ± 0.44	61.31 ± 2.07 / 70.78 ± 1.60	66.73 ± 2.34 / 74.65 ± 1.78	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
google/gemma-2-9b-it (few-shot)	9242	256	8193	True	2,062 ± 397 / 589 ± 178	1.76	1.65	1.85	1.78	49.05 ± 2.41 / 30.91 ± 2.53	52.26 ± 1.31 / 64.13 ± 1.93	58.38 ± 1.21 / 78.98 ± 0.68	55.34 ± 0.82 / 64.41 ± 0.42	67.67 ± 1.05 / 23.18 ± 1.13	80.62 ± 0.77 / 85.41 ± 0.58	75.37 ± 2.23 / 83.59 ± 1.49	66.17 ± 1.45 / 74.39 ± 1.13	61.82 ± 2.72 / 44.91 ± 3.62	60.41 ± 2.62 / 46.29 ± 3.79	61.06 ± 1.21 / 73.45 ± 0.94	65.94 ± 0.37 / 19.22 ± 0.79	62.46 ± 1.49 / 81.11 ± 0.72	52.99 ± 1.89 / 76.14 ± 1.20	39.10 ± 1.50 / 70.14 ± 1.53	49.45 ± 0.93 / 61.63 ± 0.72	67.96 ± 1.93 / 75.79 ± 1.47	52.50 ± 1.02 / 37.38 ± 2.57	78.51 ± 0.93 / 76.24 ± 1.64	61.28 ± 1.63 / 80.07 ± 1.22	55.22 ± 1.03 / 64.60 ± 0.52	66.30 ± 0.12 / 19.72 ± 0.19	51.58 ± 0.83 / 63.27 ± 0.62	66.61 ± 1.12 / 74.72 ± 0.93	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
gpt-3.5-turbo-0613 (few-shot, val)	unknown	100	4094	True	921 ± 293 / 113 ± 37	1.78	1.57	1.96	1.82	61.31 ± 2.34 / 49.86 ± 2.18	52.52 ± 2.05 / 68.10 ± 1.35	57.63 ± 2.80 / 77.01 ± 1.83	57.03 ± 1.95 / 65.51 ± 1.48	66.38 ± 0.26 / 18.03 ± 0.27	81.95 ± 2.61 / 86.33 ± 2.03	77.66 ± 2.57 / 85.08 ± 1.77	62.21 ± 2.60 / 71.05 ± 2.09	77.70 ± 2.64 / 68.71 ± 2.97	73.92 ± 2.53 / 67.96 ± 2.67	58.88 ± 3.23 / 71.00 ± 2.87	64.18 ± 0.22 / 14.10 ± 0.37	54.29 ± 4.27 / 73.02 ± 3.26	32.82 ± 3.43 / 56.05 ± 4.14	45.35 ± 2.97 / 73.47 ± 1.69	40.26 ± 5.24 / 54.88 ± 3.85	59.02 ± 1.63 / 68.63 ± 1.34	73.04 ± 2.74 / 61.64 ± 3.63	72.77 ± 2.64 / 72.56 ± 2.45	58.06 ± 3.84 / 76.06 ± 2.51	58.02 ± 2.11 / 66.84 ± 1.38	66.92 ± 0.16 / 19.00 ± 0.28	40.73 ± 3.36 / 55.16 ± 2.75	50.51 ± 2.33 / 62.07 ± 1.95	12.9.0	12.9.0	12.9.0	12.9.0	12.6.1	10.0.1	10.0.1	12.9.0	0.0.0	0.0.0	0.0.0	11.0.0	0.0.0	0.0.0	12.9.0	0.0.0	0.0.0	0.0.0	0.0.0	0.0.0	12.9.0	11.0.0	0.0.0	0.0.0
152334H/miqu-1-70b-sf (few-shot, val)	68977	32	32764	True	2,126 ± 676 / 319 ± 104	1.84	1.69	2.09	1.74	56.96 ± 2.39 / 45.84 ± 1.75	55.11 ± 4.11 / 69.60 ± 2.69	42.64 ± 3.22 / 71.04 ± 1.56	54.58 ± 2.19 / 64.12 ± 1.41	66.80 ± 1.09 / 20.36 ± 1.51	83.94 ± 1.81 / 87.97 ± 1.38	73.32 ± 4.97 / 81.64 ± 3.48	60.52 ± 3.33 / 70.08 ± 2.52	66.75 ± 2.07 / 58.61 ± 3.33	66.81 ± 2.57 / 57.71 ± 3.04	60.58 ± 4.96 / 70.33 ± 4.12	64.64 ± 0.63 / 16.59 ± 1.15	47.53 ± 4.07 / 72.24 ± 2.31	17.14 ± 4.72 / 51.14 ± 4.36	41.92 ± 3.36 / 72.51 ± 1.91	51.01 ± 2.61 / 63.20 ± 1.96	58.23 ± 5.79 / 67.46 ± 4.92	62.96 ± 3.44 / 52.14 ± 4.04	75.25 ± 2.41 / 78.80 ± 1.96	53.28 ± 3.33 / 75.37 ± 1.80	56.42 ± 1.65 / 65.04 ± 1.17	67.60 ± 0.30 / 21.60 ± 0.76	53.56 ± 2.20 / 64.88 ± 1.66	59.70 ± 4.69 / 69.38 ± 3.70	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	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 (zero-shot, val)	unknown	100	8191	True	436 ± 152 / 57 ± 21	1.86	1.74	2.13	1.70	35.79 ± 2.45 / 25.86 ± 1.74	53.69 ± 2.27 / 67.91 ± 1.55	62.98 ± 2.61 / 81.27 ± 1.31	51.96 ± 1.07 / 64.87 ± 0.92	64.56 ± 0.18 / 13.61 ± 0.30	87.34 ± 2.03 / 90.59 ± 1.49	98.11 ± 1.10 / 98.75 ± 0.73	67.56 ± 1.88 / 75.47 ± 1.48	60.16 ± 3.63 / 49.38 ± 2.48	48.74 ± 2.05 / 40.98 ± 1.83	39.62 ± 1.29 / 38.68 ± 0.94	62.75 ± 0.20 / 10.78 ± 0.13	71.38 ± 2.71 / 85.52 ± 1.38	42.94 ± 3.66 / 71.26 ± 1.76	36.04 ± 1.53 / 69.46 ± 0.84	68.89 ± 1.85 / 76.76 ± 1.38	59.02 ± 2.40 / 67.34 ± 1.69	51.31 ± 4.64 / 43.84 ± 3.44	73.54 ± 3.03 / 68.68 ± 2.31	66.39 ± 2.24 / 82.10 ± 1.23	52.22 ± 1.51 / 63.21 ± 1.40	65.32 ± 0.13 / 15.67 ± 0.18	69.31 ± 1.63 / 77.07 ± 1.24	63.92 ± 2.21 / 72.70 ± 1.63	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
gpt-4o-mini-2024-07-18 (few-shot, val)	unknown	200	8191	True	784 ± 310 / 95 ± 28	1.89	1.73	1.92	2.03	59.96 ± 1.64 / 41.55 ± 2.90	56.91 ± 2.34 / 71.25 ± 1.60	67.13 ± 4.29 / 83.05 ± 2.24	17.52 ± 2.69 / 33.63 ± 2.10	65.32 ± 0.28 / 15.39 ± 0.62	91.70 ± 1.66 / 93.79 ± 1.23	88.38 ± 2.84 / 92.19 ± 1.94	71.08 ± 1.15 / 78.12 ± 0.91	72.74 ± 1.75 / 57.58 ± 4.14	69.17 ± 2.61 / 56.34 ± 3.95	67.45 ± 4.03 / 77.50 ± 2.90	63.00 ± 0.19 / 11.59 ± 0.22	74.27 ± 2.57 / 86.86 ± 1.43	54.83 ± 3.96 / 76.91 ± 1.98	3.67 ± 1.64 / 43.45 ± 1.90	59.93 ± 2.64 / 69.69 ± 1.97	76.01 ± 1.56 / 81.33 ± 1.30	62.45 ± 2.79 / 46.68 ± 4.08	77.69 ± 2.28 / 78.73 ± 2.17	68.93 ± 3.67 / 84.15 ± 2.01	12.11 ± 4.65 / 31.14 ± 3.37	66.04 ± 0.19 / 16.02 ± 0.27	55.80 ± 3.06 / 66.48 ± 2.33	63.61 ± 1.68 / 71.99 ± 1.38	14.0.0	14.0.0	14.0.0	14.0.0	14.0.0	14.0.1	14.0.1	14.0.1	14.0.0	14.0.0	14.0.0	14.0.1	14.0.0	14.0.0	14.0.0	14.0.1	14.0.1	14.0.0	14.0.0	14.0.0	14.0.0	14.0.1	14.0.1	14.0.1
meta-llama/Llama-2-70b-hf (few-shot, val)	68977	32	4096	True	1,892 ± 650 / 318 ± 105	1.89	1.69	2.12	1.85	58.06 ± 2.48 / 50.10 ± 2.23	53.24 ± 4.04 / 67.81 ± 2.74	39.71 ± 4.96 / 65.90 ± 3.81	62.51 ± 1.48 / 67.47 ± 1.39	67.39 ± 1.23 / 23.85 ± 1.20	84.43 ± 1.72 / 88.28 ± 1.24	71.35 ± 2.55 / 80.47 ± 1.72	54.31 ± 2.56 / 65.20 ± 2.09	62.46 ± 4.62 / 60.77 ± 4.36	64.68 ± 3.04 / 61.69 ± 2.31	59.68 ± 3.30 / 70.62 ± 3.08	66.09 ± 1.05 / 21.12 ± 1.52	27.34 ± 12.20 / 50.42 ± 9.24	3.95 ± 4.66 / 36.08 ± 3.27	57.44 ± 4.59 / 78.69 ± 3.09	43.88 ± 3.11 / 57.62 ± 2.27	53.85 ± 3.43 / 64.34 ± 2.65	64.76 ± 3.91 / 61.08 ± 5.41	75.46 ± 1.99 / 74.35 ± 3.70	43.27 ± 5.03 / 65.62 ± 4.94	63.04 ± 1.52 / 66.95 ± 1.31	68.43 ± 0.33 / 24.92 ± 0.74	46.16 ± 2.67 / 59.53 ± 2.04	50.41 ± 5.18 / 62.34 ± 3.86	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
google/gemma-2-9b (few-shot)	9242	256	8193	True	2,038 ± 406 / 566 ± 172	1.97	1.96	2.03	1.91	44.16 ± 3.11 / 25.93 ± 1.95	38.84 ± 2.31 / 45.52 ± 3.32	43.42 ± 3.95 / 69.40 ± 3.11	60.11 ± 0.96 / 66.24 ± 0.78	67.46 ± 1.14 / 24.10 ± 1.14	81.68 ± 0.62 / 86.22 ± 0.47	77.77 ± 1.30 / 85.06 ± 0.86	50.04 ± 3.99 / 61.09 ± 3.31	54.08 ± 2.08 / 34.62 ± 1.80	54.33 ± 3.02 / 37.70 ± 2.97	62.54 ± 1.17 / 75.53 ± 0.73	65.67 ± 0.85 / 20.11 ± 0.92	50.88 ± 2.84 / 74.69 ± 1.56	41.01 ± 1.91 / 69.35 ± 1.67	46.25 ± 3.89 / 72.99 ± 3.16	50.81 ± 1.18 / 62.98 ± 0.88	53.37 ± 3.87 / 63.52 ± 3.49	50.43 ± 3.97 / 27.20 ± 3.14	80.55 ± 1.46 / 77.22 ± 3.78	50.86 ± 3.91 / 72.14 ± 3.98	59.35 ± 1.16 / 65.35 ± 0.87	65.63 ± 0.26 / 19.75 ± 0.45	52.06 ± 0.97 / 63.92 ± 0.72	49.80 ± 3.86 / 60.88 ± 3.42	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
gpt-4o-mini-2024-07-18 (zero-shot, val)	unknown	200	8191	True	908 ± 303 / 96 ± 36	1.97	1.71	2.22	1.99	57.52 ± 2.21 / 35.79 ± 1.78	49.73 ± 3.09 / 65.95 ± 2.22	57.56 ± 2.67 / 77.16 ± 1.35	51.79 ± 1.50 / 64.34 ± 1.32	64.66 ± 0.20 / 13.62 ± 0.27	79.84 ± 1.66 / 84.92 ± 1.26	83.21 ± 2.59 / 88.67 ± 1.79	63.33 ± 1.94 / 72.15 ± 1.54	60.43 ± 2.46 / 37.82 ± 2.68	55.59 ± 2.84 / 32.20 ± 2.11	39.82 ± 1.20 / 37.70 ± 1.08	62.77 ± 0.17 / 10.94 ± 0.12	54.84 ± 2.09 / 74.79 ± 1.33	33.80 ± 3.42 / 62.11 ± 2.19	36.55 ± 1.71 / 70.12 ± 0.99	56.96 ± 1.87 / 67.11 ± 1.36	68.70 ± 1.59 / 75.86 ± 1.16	52.47 ± 2.22 / 29.74 ± 0.97	73.55 ± 2.73 / 71.66 ± 2.30	52.27 ± 2.34 / 71.55 ± 1.30	48.95 ± 1.41 / 61.75 ± 1.16	65.59 ± 0.17 / 15.30 ± 0.25	54.30 ± 3.14 / 65.47 ± 2.42	54.13 ± 2.66 / 64.77 ± 2.09	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.3	14.0.3	14.0.3	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.3	14.0.3	14.0.1	14.0.1	14.0.1	14.0.1	14.0.3	14.0.3	14.0.3
timpal0l/sol (few-shot)	10732	32	4096	False	3,701 ± 876 / 771 ± 247	2.05	1.98	2.15	2.01	54.91 ± 1.53 / 36.29 ± 1.85	44.38 ± 2.83 / 57.19 ± 3.61	21.11 ± 3.23 / 45.43 ± 3.11	58.96 ± 1.71 / 65.85 ± 1.20	66.89 ± 0.89 / 22.65 ± 0.84	61.12 ± 1.49 / 70.29 ± 1.16	64.86 ± 2.64 / 76.05 ± 1.94	67.96 ± 1.07 / 75.68 ± 0.86	65.14 ± 1.62 / 52.85 ± 3.03	65.88 ± 1.53 / 52.89 ± 2.29	57.06 ± 1.54 / 71.09 ± 1.17	66.21 ± 0.76 / 20.29 ± 1.10	26.41 ± 3.80 / 51.92 ± 5.30	19.58 ± 1.29 / 53.93 ± 2.90	51.60 ± 1.97 / 77.87 ± 1.44	36.06 ± 0.69 / 51.47 ± 0.52	64.97 ± 1.25 / 73.41 ± 1.01	57.51 ± 2.30 / 37.74 ± 3.15	77.31 ± 1.01 / 70.55 ± 2.26	25.06 ± 5.02 / 49.04 ± 4.68	60.16 ± 1.77 / 67.43 ± 1.02	65.22 ± 0.19 / 18.86 ± 0.30	39.52 ± 0.58 / 54.47 ± 0.38	70.93 ± 1.29 / 78.03 ± 1.01	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
claude-3-5-sonnet-20241022 (zero-shot, val)	unknown	unknown	200000	True	193 ± 87 / 55 ± 19	2.08	1.72	2.39	2.12	65.88 ± 2.11 / 55.11 ± 1.59	63.61 ± 1.57 / 76.00 ± 1.07	71.03 ± 2.52 / 85.46 ± 1.24	46.24 ± 1.37 / 59.56 ± 1.25	64.60 ± 0.17 / 13.66 ± 0.33	84.02 ± 1.91 / 88.01 ± 1.39	85.34 ± 1.48 / 89.61 ± 1.10	23.71 ± 2.05 / 41.45 ± 1.43	74.23 ± 1.86 / 70.66 ± 2.97	70.50 ± 2.19 / 65.71 ± 2.34	50.92 ± 2.29 / 63.00 ± 1.71	62.57 ± 0.14 / 10.84 ± 0.13	76.10 ± 3.28 / 88.02 ± 1.64	72.03 ± 2.05 / 85.28 ± 1.07	40.57 ± 1.42 / 67.69 ± 0.75	24.04 ± 2.65 / 37.19 ± 1.54	-0.80 ± 1.96 / 23.98 ± 1.59	70.22 ± 2.34 / 58.75 ± 1.43	77.70 ± 2.39 / 77.22 ± 2.00	74.34 ± 2.79 / 87.04 ± 1.39	49.32 ± 1.33 / 60.05 ± 0.93	65.36 ± 0.14 / 15.31 ± 0.16	28.34 ± 2.24 / 38.09 ± 2.17	13.68 ± 1.67 / 26.91 ± 1.11	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF (few-shot)	70554	128	131072	True	1,208 ± 412 / 156 ± 53	2.09	2.09	2.27	1.90	58.34 ± 1.24 / 33.52 ± 1.47	59.14 ± 1.19 / 72.45 ± 0.97	56.46 ± 1.02 / 77.90 ± 0.61	39.77 ± 1.12 / 54.05 ± 0.72	47.41 ± 0.23 / 4.96 ± 0.10	85.69 ± 1.25 / 89.23 ± 0.95	91.37 ± 1.33 / 94.26 ± 0.90	74.30 ± 0.79 / 80.57 ± 0.62	69.21 ± 1.13 / 41.18 ± 1.79	70.45 ± 1.43 / 43.05 ± 2.42	39.87 ± 0.47 / 39.97 ± 0.29	47.52 ± 0.09 / 5.00 ± 0.11	57.80 ± 1.53 / 78.16 ± 0.92	40.31 ± 2.88 / 68.01 ± 2.32	40.97 ± 1.43 / 72.01 ± 0.69	63.81 ± 1.21 / 72.83 ± 0.89	73.01 ± 1.26 / 79.65 ± 0.95	58.65 ± 2.12 / 28.39 ± 1.64	81.81 ± 0.86 / 82.33 ± 0.74	63.69 ± 1.28 / 81.49 ± 0.64	42.29 ± 1.15 / 56.06 ± 0.57	50.67 ± 0.97 / 7.02 ± 0.72	68.28 ± 0.81 / 76.14 ± 0.61	72.36 ± 1.01 / 79.06 ± 0.80	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
upstage/SOLAR-10.7B-v1.0 (few-shot)	10732	32	4096	True	3,780 ± 906 / 799 ± 261	2.09	1.96	2.25	2.06	58.03 ± 2.18 / 38.25 ± 2.31	46.63 ± 2.35 / 59.02 ± 3.07	15.09 ± 3.06 / 40.04 ± 1.77	62.15 ± 0.63 / 67.21 ± 0.55	66.81 ± 1.08 / 22.82 ± 1.04	64.79 ± 1.37 / 73.46 ± 1.07	68.59 ± 2.23 / 78.59 ± 1.60	65.29 ± 0.94 / 73.54 ± 0.74	68.11 ± 1.83 / 57.57 ± 3.10	68.19 ± 1.01 / 56.90 ± 2.54	55.33 ± 1.95 / 69.71 ± 1.56	65.51 ± 1.32 / 19.63 ± 1.66	10.15 ± 3.24 / 36.27 ± 1.44	7.51 ± 2.97 / 35.89 ± 1.30	55.33 ± 3.29 / 80.42 ± 1.68	35.57 ± 0.78 / 51.45 ± 0.56	62.76 ± 1.85 / 71.77 ± 1.45	59.65 ± 2.22 / 39.33 ± 3.33	77.48 ± 1.23 / 70.13 ± 2.81	16.94 ± 2.36 / 40.98 ± 1.82	62.65 ± 0.56 / 68.15 ± 0.56	65.19 ± 0.36 / 19.09 ± 0.55	39.82 ± 0.69 / 54.84 ± 0.53	68.87 ± 1.35 / 76.46 ± 1.04	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3
mistralai/Mistral-Nemo-Instruct-2407 (few-shot)	12248	131	1024001	True	7,095 ± 2,193 / 1,063 ± 344	2.12	2.02	2.21	2.13	53.95 ± 2.29 / 34.84 ± 2.23	48.97 ± 1.81 / 64.19 ± 1.99	31.78 ± 4.52 / 61.53 ± 5.44	56.44 ± 1.24 / 65.53 ± 1.09	66.24 ± 0.66 / 20.00 ± 0.80	67.09 ± 1.38 / 74.85 ± 1.04	72.87 ± 2.11 / 81.97 ± 1.42	42.77 ± 2.30 / 55.61 ± 2.33	70.14 ± 1.60 / 51.03 ± 3.02	68.74 ± 1.21 / 51.48 ± 2.96	60.64 ± 2.52 / 73.91 ± 1.86	64.61 ± 0.40 / 16.10 ± 0.86	35.59 ± 2.29 / 61.96 ± 3.72	29.22 ± 2.86 / 60.98 ± 4.02	49.87 ± 4.84 / 76.01 ± 3.10	39.07 ± 0.84 / 53.89 ± 0.69	37.95 ± 3.53 / 51.35 ± 3.17	62.86 ± 1.95 / 36.42 ± 3.49	70.54 ± 6.38 / 73.39 ± 6.37	37.50 ± 2.48 / 66.32 ± 1.77	58.00 ± 0.85 / 65.98 ± 0.82	65.93 ± 0.19 / 19.24 ± 0.33	40.58 ± 1.17 / 55.16 ± 0.88	42.99 ± 2.04 / 56.16 ± 1.93	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
mgoin/Nemotron-4-340B-Instruct-hf-FP8 (few-shot)	341029	256	4096	True	1,904 ± 475 / 361 ± 121	2.16	2.14	2.25	2.10	48.24 ± 9.94 / 31.90 ± 6.18	39.52 ± 7.04 / 57.63 ± 7.05	62.92 ± 7.59 / 79.60 ± 5.59	36.92 ± 4.33 / 50.43 ± 5.70	56.79 ± 3.55 / 9.68 ± 1.99	67.68 ± 13.44 / 73.37 ± 11.27	84.85 ± 5.06 / 89.61 ± 3.57	68.82 ± 9.57 / 75.07 ± 8.79	56.41 ± 4.08 / 40.15 ± 2.52	55.60 ± 10.22 / 41.46 ± 7.34	25.18 ± 6.55 / 26.60 ± 5.64	59.28 ± 1.86 / 9.96 ± 0.98	62.56 ± 12.80 / 78.17 ± 9.21	53.09 ± 12.43 / 72.49 ± 10.07	42.57 ± 3.25 / 68.49 ± 4.62	45.67 ± 7.99 / 57.20 ± 7.81	73.86 ± 10.33 / 78.94 ± 9.45	48.92 ± 3.54 / 30.97 ± 2.58	62.08 ± 12.16 / 66.00 ± 9.89	68.93 ± 11.34 / 82.77 ± 8.76	36.40 ± 6.01 / 45.68 ± 7.55	61.39 ± 1.89 / 14.44 ± 1.38	48.18 ± 6.47 / 59.40 ± 6.01	56.87 ± 7.48 / 66.26 ± 6.37	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
CohereForAI/c4ai-command-r-08-2024 (few-shot)	32296	256	131072	False	1,909 ± 646 / 248 ± 84	2.24	2.03	2.54	2.14	63.63 ± 2.58 / 40.18 ± 3.60	50.82 ± 1.22 / 64.57 ± 1.50	35.58 ± 1.76 / 66.59 ± 1.22	54.33 ± 0.77 / 64.51 ± 0.50	65.71 ± 0.23 / 17.20 ± 0.46	58.67 ± 1.76 / 68.17 ± 1.44	72.01 ± 1.26 / 81.37 ± 0.86	33.61 ± 2.24 / 48.15 ± 2.00	73.20 ± 1.45 / 46.13 ± 3.02	72.26 ± 1.32 / 50.60 ± 3.32	35.80 ± 0.54 / 38.56 ± 0.56	63.37 ± 0.27 / 12.90 ± 0.29	36.86 ± 1.57 / 68.01 ± 0.98	23.40 ± 1.98 / 60.51 ± 1.62	40.32 ± 1.30 / 70.57 ± 1.28	38.62 ± 1.30 / 53.47 ± 0.90	40.50 ± 1.40 / 54.65 ± 1.07	65.01 ± 1.61 / 38.41 ± 3.29	77.68 ± 1.01 / 74.34 ± 1.86	34.06 ± 2.14 / 65.64 ± 1.66	56.78 ± 0.52 / 65.93 ± 0.49	66.08 ± 0.07 / 18.08 ± 0.13	39.39 ± 3.39 / 53.89 ± 2.70	37.81 ± 2.49 / 51.65 ± 2.19	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
RJuro/munin-neuralbeagle-7b (few-shot, val)	7242	32	32768	False	2,493 ± 466 / 773 ± 243	2.28	2.01	2.52	2.30	51.44 ± 3.28 / 41.38 ± 2.79	54.91 ± 2.59 / 67.84 ± 2.53	22.77 ± 3.96 / 52.29 ± 3.81	56.51 ± 1.80 / 64.01 ± 1.12	68.06 ± 1.42 / 24.28 ± 1.31	74.24 ± 2.14 / 80.62 ± 1.61	70.86 ± 3.58 / 80.31 ± 2.53	41.49 ± 2.88 / 55.86 ± 2.17	61.18 ± 2.76 / 56.36 ± 3.30	65.16 ± 3.97 / 55.74 ± 4.71	55.61 ± 4.02 / 68.27 ± 3.49	65.99 ± 0.31 / 19.46 ± 0.47	20.84 ± 5.41 / 49.36 ± 4.98	9.12 ± 3.51 / 43.06 ± 3.74	42.92 ± 3.08 / 69.13 ± 2.85	27.77 ± 2.86 / 45.43 ± 2.04	39.67 ± 4.37 / 54.26 ± 3.37	62.96 ± 2.62 / 51.99 ± 5.66	77.13 ± 2.43 / 78.36 ± 1.88	15.73 ± 7.07 / 47.41 ± 5.31	58.43 ± 1.59 / 65.06 ± 1.19	67.58 ± 0.22 / 22.52 ± 0.52	32.54 ± 2.61 / 49.30 ± 1.93	34.94 ± 3.79 / 50.39 ± 3.23	9.3.2	9.3.2	9.3.2	12.5.2	12.6.1	10.0.1	10.0.1	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2
skole-gpt-mixtral (few-shot)	unknown	32	32768	False	3,583 ± 977 / 686 ± 231	2.28	2.09	2.50	2.25	49.17 ± 2.72 / 34.74 ± 2.27	51.51 ± 1.63 / 66.73 ± 1.63	32.04 ± 2.30 / 64.63 ± 1.42	58.52 ± 0.97 / 66.15 ± 0.51	66.83 ± 0.63 / 21.53 ± 1.17	65.77 ± 2.06 / 74.26 ± 1.57	77.56 ± 1.97 / 85.02 ± 1.31	30.34 ± 1.47 / 46.85 ± 1.17	62.52 ± 2.14 / 49.42 ± 3.83	61.55 ± 1.68 / 47.53 ± 3.65	52.09 ± 3.90 / 65.72 ± 4.14	64.70 ± 0.79 / 17.10 ± 1.35	21.99 ± 2.17 / 58.21 ± 2.38	16.84 ± 2.07 / 51.76 ± 4.30	47.30 ± 4.17 / 72.60 ± 3.24	39.99 ± 1.01 / 54.90 ± 0.76	32.16 ± 1.91 / 48.12 ± 1.74	54.14 ± 2.49 / 37.43 ± 3.05	78.27 ± 1.32 / 77.65 ± 1.28	32.49 ± 1.94 / 64.28 ± 2.18	58.95 ± 0.96 / 66.56 ± 0.62	65.86 ± 0.29 / 19.67 ± 0.58	43.62 ± 0.82 / 57.61 ± 0.65	28.84 ± 2.65 / 45.75 ± 2.13	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
mhenrichsen/danskgpt-chat-v2.1 (few-shot)	unknown	32	32768	True	5,085 ± 998 / 1,306 ± 404	2.33	1.93	2.60	2.45	51.08 ± 1.60 / 35.83 ± 1.84	54.69 ± 0.99 / 69.50 ± 0.93	30.95 ± 1.48 / 62.15 ± 1.83	56.56 ± 0.76 / 64.32 ± 0.40	66.90 ± 0.23 / 20.90 ± 0.64	79.39 ± 1.11 / 84.29 ± 0.86	73.22 ± 1.83 / 81.91 ± 1.32	48.16 ± 1.14 / 60.83 ± 0.97	62.43 ± 0.94 / 51.64 ± 2.45	60.68 ± 0.74 / 48.91 ± 2.93	53.41 ± 1.46 / 69.49 ± 1.05	63.65 ± 0.26 / 13.19 ± 0.53	-1.16 ± 1.31 / 33.56 ± 0.43	0.30 ± 0.71 / 34.08 ± 0.32	49.15 ± 2.79 / 76.77 ± 1.59	38.47 ± 0.66 / 53.57 ± 0.50	40.13 ± 2.77 / 54.87 ± 2.11	54.37 ± 3.04 / 42.16 ± 4.00	75.98 ± 1.15 / 74.44 ± 1.12	17.98 ± 1.97 / 56.01 ± 2.08	55.07 ± 0.74 / 64.24 ± 0.61	64.42 ± 0.09 / 14.42 ± 0.51	32.81 ± 0.91 / 49.28 ± 0.64	36.24 ± 1.44 / 51.96 ± 1.13	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0	12.0.0
AI-Sweden-Models/Llama-3-8B-instruct (few-shot)	8030	128	8192	False	1,472 ± 376 / 284 ± 96	2.34	2.16	2.86	2.00	58.57 ± 1.03 / 41.07 ± 2.81	51.63 ± 1.00 / 67.43 ± 0.78	28.82 ± 2.18 / 50.35 ± 2.03	51.98 ± 0.64 / 61.33 ± 0.59	64.11 ± 0.21 / 10.66 ± 0.44	53.80 ± 2.87 / 61.63 ± 2.89	60.74 ± 1.57 / 71.97 ± 1.34	42.86 ± 2.91 / 52.64 ± 3.04	81.96 ± 1.06 / 76.25 ± 1.32	78.42 ± 1.01 / 75.40 ± 0.97	35.30 ± 0.64 / 38.72 ± 0.50	63.15 ± 0.21 / 9.84 ± 0.36	12.11 ± 2.22 / 36.70 ± 1.09	5.94 ± 1.85 / 34.64 ± 0.60	22.15 ± 0.60 / 43.62 ± 0.82	28.72 ± 0.89 / 43.60 ± 0.77	44.75 ± 4.08 / 54.77 ± 3.95	84.77 ± 1.36 / 72.07 ± 2.30	80.10 ± 0.54 / 80.57 ± 0.45	29.17 ± 3.15 / 49.46 ± 2.79	54.68 ± 0.66 / 63.19 ± 0.58	66.01 ± 0.15 / 18.52 ± 0.19	32.11 ± 1.11 / 46.99 ± 1.14	47.49 ± 3.45 / 57.06 ± 3.45	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
meta-llama/Llama-3.1-8B-Instruct (few-shot)	8030	128	131072	True	1,473 ± 377 / 283 ± 96	2.35	2.09	2.66	2.30	54.70 ± 1.69 / 38.11 ± 2.31	54.81 ± 1.51 / 67.88 ± 1.39	32.11 ± 1.93 / 63.11 ± 1.61	48.87 ± 1.18 / 59.47 ± 0.67	66.79 ± 0.20 / 19.88 ± 0.44	56.14 ± 2.09 / 67.01 ± 1.58	63.54 ± 2.14 / 75.61 ± 1.50	39.48 ± 2.00 / 54.53 ± 1.52	64.55 ± 1.69 / 56.81 ± 2.50	66.44 ± 1.38 / 60.02 ± 3.36	35.17 ± 0.32 / 38.11 ± 0.29	64.48 ± 0.14 / 15.14 ± 0.38	27.41 ± 1.97 / 54.94 ± 2.06	15.60 ± 2.05 / 46.51 ± 2.41	43.11 ± 2.22 / 69.74 ± 1.60	35.02 ± 1.24 / 51.13 ± 0.94	37.61 ± 0.88 / 53.12 ± 0.65	55.80 ± 2.68 / 34.65 ± 1.98	79.23 ± 0.48 / 76.86 ± 0.80	32.67 ± 2.18 / 63.89 ± 1.49	46.88 ± 1.47 / 58.66 ± 0.84	66.43 ± 0.07 / 18.43 ± 0.14	36.35 ± 1.43 / 51.97 ± 1.14	37.89 ± 1.45 / 53.38 ± 1.09	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
timpal0l/BeagleCatMunin2 (few-shot, val)	7242	32	32768	False	2,477 ± 459 / 767 ± 241	2.35	2.13	2.58	2.33	51.53 ± 2.82 / 40.66 ± 2.30	47.95 ± 3.02 / 55.70 ± 3.32	14.10 ± 3.79 / 40.80 ± 3.64	58.28 ± 1.98 / 64.33 ± 1.60	68.04 ± 1.34 / 24.72 ± 1.42	67.37 ± 4.12 / 75.55 ± 3.01	66.75 ± 3.42 / 77.34 ± 2.58	42.21 ± 3.40 / 56.48 ± 2.62	61.17 ± 3.56 / 54.24 ± 3.45	65.44 ± 2.83 / 54.34 ± 3.95	58.69 ± 3.28 / 70.83 ± 2.49	66.08 ± 0.32 / 20.15 ± 0.64	15.03 ± 2.70 / 40.22 ± 1.66	5.95 ± 4.55 / 39.18 ± 2.91	42.42 ± 2.92 / 69.53 ± 3.17	27.31 ± 2.26 / 45.04 ± 1.66	41.63 ± 2.84 / 56.02 ± 2.19	60.87 ± 3.71 / 47.40 ± 5.32	73.72 ± 2.20 / 67.79 ± 2.37	6.78 ± 4.34 / 35.90 ± 2.11	58.75 ± 1.46 / 65.08 ± 1.15	68.06 ± 0.31 / 23.91 ± 0.64	33.71 ± 2.28 / 50.08 ± 1.68	41.45 ± 3.36 / 55.51 ± 2.69	9.3.1	9.3.1	9.3.1	12.5.2	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1
NorwAI/NorwAI-Mixtral-8x7B-instruct (few-shot)	46998	68	32768	True	9,015 ± 2,966 / 1,121 ± 510	2.36	2.35	2.45	2.27	49.18 ± 2.27 / 32.04 ± 1.45	49.76 ± 1.76 / 64.54 ± 1.57	41.28 ± 3.88 / 66.46 ± 4.23	12.83 ± 5.44 / 40.81 ± 3.18	67.44 ± 0.39 / 22.88 ± 0.66	77.55 ± 1.15 / 83.10 ± 0.89	74.67 ± 1.83 / 82.79 ± 1.28	36.42 ± 2.29 / 51.22 ± 1.72	58.05 ± 2.37 / 42.27 ± 2.34	59.65 ± 1.56 / 42.70 ± 2.35	57.94 ± 2.51 / 71.75 ± 2.43	65.07 ± 0.24 / 18.51 ± 0.39	51.36 ± 5.61 / 73.74 ± 5.30	42.84 ± 3.95 / 70.80 ± 2.32	14.72 ± 3.35 / 53.03 ± 2.43	43.18 ± 0.88 / 57.12 ± 0.65	37.58 ± 3.38 / 50.89 ± 2.88	57.66 ± 1.75 / 36.87 ± 4.27	80.04 ± 0.73 / 80.11 ± 0.89	45.21 ± 3.06 / 70.61 ± 2.93	52.73 ± 2.46 / 63.63 ± 1.65	59.91 ± 1.12 / 18.25 ± 1.04	42.25 ± 0.97 / 56.59 ± 0.80	28.88 ± 2.42 / 45.53 ± 2.20	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	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	2.36	2.26	2.55	2.27	46.75 ± 2.79 / 29.40 ± 2.22	51.73 ± 1.40 / 66.43 ± 1.93	24.73 ± 4.78 / 53.98 ± 6.10	59.97 ± 1.27 / 65.74 ± 0.76	65.21 ± 0.51 / 18.86 ± 0.87	55.72 ± 2.05 / 66.59 ± 1.56	61.59 ± 2.64 / 73.95 ± 1.89	25.43 ± 2.44 / 43.11 ± 2.03	61.63 ± 1.64 / 48.09 ± 2.89	61.30 ± 1.94 / 50.08 ± 2.60	48.85 ± 2.22 / 64.93 ± 2.00	63.67 ± 1.11 / 16.08 ± 1.70	24.15 ± 6.12 / 56.29 ± 6.81	21.33 ± 3.03 / 58.05 ± 2.59	53.66 ± 4.34 / 75.19 ± 3.59	33.52 ± 1.36 / 49.78 ± 1.04	26.04 ± 2.54 / 43.74 ± 2.07	60.93 ± 2.85 / 38.87 ± 3.50	79.74 ± 0.68 / 75.13 ± 1.85	26.02 ± 4.38 / 52.19 ± 5.44	59.84 ± 0.92 / 65.92 ± 0.82	64.99 ± 0.26 / 18.65 ± 0.32	36.35 ± 1.03 / 51.91 ± 0.77	27.22 ± 2.24 / 45.02 ± 1.74	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	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-chat-hf (few-shot, val)	68977	32	4096	True	1,979 ± 621 / 320 ± 105	2.36	2.14	2.62	2.33	52.22 ± 2.07 / 38.82 ± 1.90	50.66 ± 1.88 / 62.04 ± 2.83	23.57 ± 3.82 / 56.09 ± 4.62	53.82 ± 2.13 / 61.94 ± 1.63	67.13 ± 0.72 / 21.62 ± 0.86	69.26 ± 2.89 / 76.99 ± 2.16	46.40 ± 2.92 / 59.45 ± 2.63	39.72 ± 2.48 / 53.83 ± 2.19	60.21 ± 1.86 / 47.06 ± 3.08	62.99 ± 2.66 / 48.82 ± 5.49	55.12 ± 5.10 / 66.55 ± 5.07	65.11 ± 0.66 / 17.82 ± 1.21	27.12 ± 4.90 / 54.26 ± 6.80	6.82 ± 5.06 / 46.18 ± 4.14	38.50 ± 3.93 / 69.99 ± 2.23	32.30 ± 3.42 / 48.32 ± 2.61	34.43 ± 2.91 / 49.65 ± 2.23	55.91 ± 3.25 / 39.73 ± 4.94	64.52 ± 3.15 / 70.51 ± 2.49	23.85 ± 7.34 / 56.89 ± 6.08	58.88 ± 1.51 / 65.82 ± 1.07	67.57 ± 0.24 / 21.77 ± 0.61	37.60 ± 3.30 / 52.46 ± 2.31	31.78 ± 2.98 / 47.11 ± 2.71	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
timpal0l/BeagleCatMunin (few-shot, val)	7242	32	32768	False	2,495 ± 458 / 775 ± 244	2.36	2.16	2.69	2.24	47.62 ± 3.01 / 36.77 ± 2.96	54.73 ± 3.20 / 68.74 ± 2.21	21.80 ± 4.54 / 51.07 ± 4.11	57.26 ± 1.76 / 63.60 ± 1.40	67.31 ± 1.40 / 23.24 ± 1.64	66.49 ± 2.90 / 74.84 ± 2.12	60.41 ± 1.95 / 72.97 ± 1.45	28.51 ± 3.95 / 45.74 ± 3.03	54.04 ± 2.86 / 48.50 ± 2.85	62.21 ± 3.31 / 50.38 ± 4.32	54.74 ± 3.71 / 67.81 ± 2.80	65.60 ± 0.49 / 19.07 ± 0.70	14.51 ± 1.97 / 40.94 ± 1.63	5.38 ± 4.69 / 37.62 ± 2.92	42.83 ± 3.31 / 69.15 ± 2.50	25.82 ± 1.66 / 43.75 ± 1.18	32.01 ± 3.74 / 48.40 ± 2.69	50.53 ± 3.30 / 37.77 ± 4.38	77.37 ± 2.25 / 78.66 ± 2.43	27.84 ± 4.72 / 49.46 ± 4.52	59.98 ± 1.65 / 65.44 ± 1.38	67.89 ± 0.44 / 23.94 ± 0.68	34.80 ± 2.79 / 50.82 ± 2.10	36.65 ± 5.07 / 51.56 ± 4.13	9.3.2	9.3.2	9.3.2	12.5.2	12.6.1	10.0.1	10.0.1	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2
timpal0l/dolphin-2.9-llama3-8b-flashback (few-shot, val)	8030	128	8192	False	5,018 ± 1,216 / 996 ± 324	2.37	2.26	2.60	2.26	51.37 ± 2.38 / 37.56 ± 2.50	52.17 ± 3.44 / 67.14 ± 2.61	27.98 ± 7.51 / 60.57 ± 5.72	51.65 ± 0.84 / 59.94 ± 0.78	66.25 ± 1.15 / 19.93 ± 1.18	57.31 ± 2.81 / 68.05 ± 2.05	54.17 ± 2.95 / 68.20 ± 1.83	27.65 ± 3.28 / 44.53 ± 2.63	64.51 ± 3.28 / 51.06 ± 4.78	65.66 ± 3.82 / 53.90 ± 4.32	52.90 ± 4.31 / 65.38 ± 3.73	64.12 ± 0.39 / 15.41 ± 0.84	29.34 ± 4.34 / 59.36 ± 4.64	17.42 ± 4.38 / 52.01 ± 3.50	38.49 ± 4.41 / 67.16 ± 3.41	25.77 ± 3.46 / 43.40 ± 2.66	31.80 ± 2.89 / 46.80 ± 2.26	65.33 ± 2.38 / 46.88 ± 3.97	74.99 ± 3.45 / 76.76 ± 1.80	32.65 ± 5.08 / 61.25 ± 4.41	55.71 ± 1.34 / 64.54 ± 1.00	66.53 ± 0.29 / 19.24 ± 0.57	33.16 ± 2.11 / 49.26 ± 1.55	32.51 ± 2.97 / 48.24 ± 2.10	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
birgermoell/Munin-NeuralBeagle-NorskGPT (few-shot, val)	7242	32	32768	False	2,903 ± 407 / 1,157 ± 350	2.38	2.27	2.47	2.40	51.85 ± 3.08 / 40.02 ± 2.48	44.02 ± 2.44 / 47.74 ± 1.98	1.22 ± 4.99 / 34.29 ± 1.62	57.69 ± 2.29 / 64.09 ± 1.68	67.69 ± 1.19 / 23.90 ± 1.25	68.45 ± 3.11 / 76.37 ± 2.29	65.51 ± 3.45 / 76.56 ± 2.62	42.09 ± 3.27 / 56.33 ± 2.56	63.33 ± 2.69 / 53.24 ± 3.41	68.84 ± 1.87 / 53.85 ± 3.78	58.28 ± 3.11 / 69.79 ± 2.39	65.94 ± 0.22 / 19.92 ± 0.44	18.65 ± 3.84 / 45.34 ± 2.61	10.72 ± 5.52 / 43.91 ± 3.48	44.39 ± 3.95 / 70.76 ± 3.10	26.61 ± 3.10 / 44.80 ± 2.38	46.64 ± 2.03 / 59.84 ± 1.50	63.85 ± 2.67 / 47.77 ± 4.72	73.72 ± 2.98 / 62.83 ± 1.64	-0.56 ± 2.24 / 33.54 ± 1.03	60.10 ± 1.48 / 66.26 ± 1.19	68.11 ± 0.21 / 23.63 ± 0.56	27.79 ± 2.32 / 45.82 ± 1.61	42.43 ± 2.76 / 56.52 ± 2.13	9.3.1	9.3.1	9.3.1	12.5.2	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1
birgermoell/WestLake-Munin-Cat-NorskGPT (few-shot, val)	7242	32	32768	False	2,856 ± 391 / 1,142 ± 342	2.38	2.27	2.47	2.40	51.85 ± 3.08 / 40.02 ± 2.48	44.02 ± 2.44 / 47.74 ± 1.98	1.22 ± 4.99 / 34.29 ± 1.62	57.69 ± 2.29 / 64.09 ± 1.68	67.69 ± 1.19 / 23.88 ± 1.23	68.45 ± 3.11 / 76.37 ± 2.29	65.51 ± 3.45 / 76.56 ± 2.62	42.09 ± 3.27 / 56.33 ± 2.56	63.33 ± 2.69 / 53.24 ± 3.41	68.84 ± 1.87 / 53.85 ± 3.78	58.28 ± 3.11 / 69.79 ± 2.39	65.94 ± 0.22 / 19.92 ± 0.44	18.65 ± 3.84 / 45.34 ± 2.61	10.72 ± 5.52 / 43.91 ± 3.48	44.39 ± 3.95 / 70.76 ± 3.10	26.61 ± 3.10 / 44.80 ± 2.38	46.64 ± 2.03 / 59.84 ± 1.50	63.85 ± 2.67 / 47.77 ± 4.72	73.72 ± 2.98 / 62.83 ± 1.64	-0.56 ± 2.24 / 33.54 ± 1.03	60.10 ± 1.48 / 66.26 ± 1.19	68.11 ± 0.21 / 23.63 ± 0.56	27.79 ± 2.32 / 45.82 ± 1.61	42.43 ± 2.76 / 56.52 ± 2.13	9.3.1	9.3.1	9.3.1	12.5.2	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1
mistralai/Mixtral-8x7B-v0.1 (few-shot)	46703	32	32768	True	2,363 ± 794 / 311 ± 105	2.38	2.11	2.70	2.32	52.62 ± 1.84 / 38.57 ± 2.99	50.07 ± 1.62 / 63.30 ± 1.97	37.37 ± 2.49 / 67.81 ± 1.44	54.87 ± 3.63 / 60.32 ± 3.48	66.46 ± 0.25 / 21.44 ± 0.33	69.00 ± 0.96 / 76.69 ± 0.73	79.86 ± 1.46 / 86.58 ± 1.01	24.68 ± 4.80 / 42.06 ± 3.69	63.92 ± 1.45 / 51.71 ± 3.49	62.15 ± 1.56 / 49.74 ± 3.23	46.68 ± 3.59 / 59.99 ± 4.44	63.04 ± 0.86 / 15.52 ± 1.02	33.38 ± 2.21 / 64.72 ± 1.46	19.99 ± 2.53 / 58.41 ± 1.97	31.87 ± 4.76 / 53.96 ± 5.86	38.91 ± 1.15 / 53.89 ± 0.87	20.29 ± 3.40 / 38.96 ± 2.34	60.92 ± 1.45 / 47.51 ± 4.83	79.78 ± 0.72 / 77.07 ± 1.23	34.88 ± 2.27 / 64.32 ± 3.30	50.35 ± 4.89 / 56.29 ± 5.07	62.82 ± 0.39 / 17.12 ± 0.65	43.74 ± 0.88 / 57.66 ± 0.66	19.86 ± 1.92 / 37.84 ± 1.96	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
mlabonne/NeuralBeagle14-7B (few-shot, val)	7242	32	8192	False	2,549 ± 472 / 784 ± 245	2.38	2.15	2.63	2.37	53.02 ± 2.85 / 41.35 ± 3.42	51.29 ± 3.42 / 66.57 ± 2.46	19.73 ± 4.11 / 57.07 ± 3.09	51.69 ± 2.29 / 61.26 ± 1.32	67.33 ± 1.40 / 22.77 ± 1.39	65.38 ± 2.59 / 73.95 ± 1.84	62.78 ± 4.04 / 74.61 ± 2.90	39.07 ± 2.57 / 53.83 ± 2.06	62.47 ± 2.56 / 57.71 ± 3.02	66.69 ± 2.91 / 58.83 ± 3.70	54.04 ± 2.91 / 66.46 ± 2.59	65.74 ± 0.37 / 19.13 ± 0.54	16.75 ± 4.54 / 49.11 ± 4.45	13.00 ± 4.46 / 49.33 ± 2.69	34.48 ± 2.13 / 65.43 ± 2.07	28.39 ± 1.76 / 45.59 ± 1.28	35.19 ± 3.28 / 50.12 ± 3.13	61.25 ± 3.35 / 50.76 ± 5.94	76.03 ± 2.11 / 78.25 ± 1.95	16.28 ± 4.81 / 49.04 ± 3.60	50.96 ± 2.34 / 60.05 ± 1.18	68.35 ± 0.32 / 24.05 ± 0.66	32.30 ± 2.48 / 48.98 ± 1.96	38.78 ± 5.70 / 52.89 ± 4.91	9.3.2	9.3.2	9.3.2	12.5.2	12.6.1	10.0.1	10.0.1	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2
utter-project/EuroLLM-9B-Instruct (few-shot)	9152	128	4096	False	1,483 ± 321 / 379 ± 158	2.38	2.11	2.67	2.35	34.00 ± 2.69 / 25.49 ± 2.06	53.97 ± 1.21 / 68.40 ± 1.28	32.21 ± 4.81 / 56.97 ± 5.83	57.10 ± 0.99 / 63.73 ± 0.85	67.55 ± 1.08 / 23.77 ± 0.94	80.75 ± 1.25 / 85.31 ± 0.98	74.77 ± 1.93 / 83.14 ± 1.29	36.86 ± 1.37 / 51.61 ± 1.09	40.91 ± 2.56 / 33.22 ± 1.88	42.91 ± 2.34 / 35.61 ± 2.22	52.62 ± 2.01 / 68.10 ± 2.25	65.77 ± 0.38 / 19.35 ± 0.75	9.70 ± 4.22 / 36.58 ± 1.69	11.98 ± 2.76 / 39.37 ± 2.76	47.36 ± 4.28 / 72.71 ± 4.10	36.97 ± 1.21 / 52.08 ± 0.96	37.64 ± 1.86 / 51.95 ± 1.52	40.59 ± 1.98 / 28.19 ± 1.47	76.02 ± 2.40 / 77.86 ± 1.70	33.98 ± 5.90 / 57.44 ± 6.59	56.98 ± 0.58 / 63.97 ± 0.66	66.33 ± 0.19 / 20.77 ± 0.27	40.09 ± 0.90 / 54.78 ± 0.70	36.27 ± 1.57 / 50.67 ± 1.45	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
Nexusflow/Starling-LM-7B-beta (few-shot)	7242	32	4096	False	4,136 ± 1,282 / 668 ± 326	2.40	2.40	2.37	2.44	51.94 ± 2.00 / 27.59 ± 1.79	51.97 ± 1.36 / 68.62 ± 0.93	29.99 ± 0.73 / 60.05 ± 1.33	38.99 ± 2.82 / 52.38 ± 2.25	64.49 ± 0.10 / 14.18 ± 0.17	35.95 ± 2.22 / 51.40 ± 1.57	59.76 ± 1.99 / 73.24 ± 1.37	34.63 ± 2.52 / 50.01 ± 2.00	66.22 ± 2.15 / 48.98 ± 4.65	64.14 ± 1.26 / 49.59 ± 4.31	55.48 ± 1.77 / 69.68 ± 1.45	65.32 ± 0.41 / 18.53 ± 0.65	26.13 ± 1.28 / 56.08 ± 2.05	17.32 ± 0.77 / 54.57 ± 1.49	49.75 ± 1.22 / 77.08 ± 0.60	29.72 ± 1.33 / 46.95 ± 0.96	46.78 ± 2.83 / 59.65 ± 2.28	56.28 ± 1.55 / 28.71 ± 3.39	77.51 ± 0.55 / 76.88 ± 0.58	23.25 ± 2.19 / 50.00 ± 2.40	47.09 ± 2.61 / 59.76 ± 2.06	65.58 ± 0.17 / 17.40 ± 0.09	31.52 ± 1.23 / 48.14 ± 0.93	39.95 ± 2.32 / 54.35 ± 1.92	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
NorwAI/NorwAI-Mixtral-8x7B (few-shot)	46998	68	32768	True	2,368 ± 793 / 317 ± 108	2.41	2.16	2.59	2.49	51.95 ± 1.51 / 31.96 ± 1.74	52.11 ± 1.49 / 67.70 ± 1.08	44.47 ± 2.01 / 69.57 ± 2.71	43.32 ± 8.90 / 50.67 ± 8.15	64.64 ± 0.79 / 21.13 ± 0.55	77.33 ± 0.74 / 82.90 ± 0.58	79.05 ± 1.54 / 86.04 ± 1.07	23.81 ± 4.55 / 40.25 ± 3.94	58.53 ± 2.06 / 39.86 ± 1.77	60.26 ± 1.71 / 41.24 ± 1.50	59.48 ± 2.27 / 73.61 ± 2.04	54.54 ± 7.15 / 13.03 ± 2.14	51.85 ± 2.78 / 73.40 ± 2.33	41.89 ± 3.17 / 69.00 ± 2.68	25.62 ± 3.95 / 43.70 ± 5.67	43.35 ± 0.76 / 56.97 ± 0.60	26.91 ± 5.35 / 42.50 ± 4.87	57.01 ± 1.32 / 33.14 ± 2.45	80.12 ± 0.88 / 81.23 ± 0.76	43.04 ± 1.96 / 67.69 ± 2.83	30.44 ± 7.83 / 39.20 ± 7.83	63.55 ± 0.52 / 17.61 ± 0.71	41.92 ± 0.69 / 56.24 ± 0.52	19.13 ± 2.25 / 37.62 ± 1.27	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
mistralai/Mixtral-8x7B-Instruct-v0.1 (few-shot)	46703	32	32768	True	5,535 ± 1,837 / 760 ± 256	2.41	2.16	2.70	2.36	51.20 ± 3.31 / 30.53 ± 2.46	50.95 ± 1.15 / 66.13 ± 0.87	33.44 ± 1.67 / 64.34 ± 1.32	46.85 ± 1.67 / 61.54 ± 1.02	64.66 ± 0.25 / 14.48 ± 0.73	67.12 ± 1.23 / 75.29 ± 0.88	76.78 ± 1.29 / 84.47 ± 0.92	39.93 ± 1.65 / 54.24 ± 1.32	55.02 ± 2.74 / 36.31 ± 1.97	57.37 ± 2.34 / 38.25 ± 2.37	36.76 ± 0.69 / 38.81 ± 0.52	61.59 ± 0.17 / 7.66 ± 0.45	30.73 ± 1.86 / 63.33 ± 2.10	18.96 ± 2.45 / 52.64 ± 4.21	41.01 ± 2.00 / 70.24 ± 1.75	39.07 ± 1.18 / 53.90 ± 0.87	40.48 ± 1.57 / 54.73 ± 1.23	46.15 ± 1.63 / 25.08 ± 1.69	80.33 ± 0.51 / 79.04 ± 0.76	32.89 ± 2.06 / 64.41 ± 1.78	46.51 ± 1.69 / 61.35 ± 1.02	66.04 ± 0.10 / 17.27 ± 0.37	42.98 ± 0.91 / 56.81 ± 0.67	35.33 ± 1.71 / 49.88 ± 1.41	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
birgermoell/BeagleCatMunin-Flashback-Bellman (few-shot, val)	7242	32	32768	False	2,890 ± 401 / 1,155 ± 348	2.42	2.16	2.70	2.40	50.40 ± 2.92 / 38.57 ± 2.82	52.30 ± 2.65 / 64.19 ± 2.60	21.30 ± 3.52 / 47.78 ± 4.14	58.17 ± 1.71 / 63.79 ± 1.42	66.25 ± 1.29 / 20.33 ± 1.14	65.32 ± 3.33 / 73.95 ± 2.50	64.76 ± 3.24 / 75.94 ± 2.37	33.70 ± 2.78 / 50.16 ± 2.01	53.96 ± 3.37 / 49.84 ± 3.30	63.45 ± 2.27 / 53.13 ± 3.43	52.70 ± 4.58 / 66.82 ± 3.41	65.23 ± 0.55 / 18.64 ± 0.86	14.87 ± 3.37 / 40.83 ± 1.91	2.48 ± 3.31 / 35.61 ± 1.83	41.43 ± 3.34 / 67.26 ± 2.73	27.42 ± 2.13 / 45.20 ± 1.58	36.05 ± 3.95 / 51.68 ± 2.96	52.96 ± 3.45 / 41.51 ± 4.30	76.99 ± 2.37 / 76.84 ± 2.99	14.27 ± 4.36 / 40.60 ± 3.04	59.92 ± 1.64 / 64.87 ± 1.47	67.62 ± 0.42 / 23.90 ± 0.77	27.95 ± 2.57 / 45.86 ± 1.85	36.11 ± 3.54 / 51.60 ± 2.44	9.3.1	9.3.1	9.3.1	12.5.2	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1
CohereForAI/aya-expanse-8b (few-shot)	8028	256	8192	False	2,686 ± 685 / 491 ± 164	2.44	2.30	2.65	2.36	51.32 ± 3.82 / 25.54 ± 2.10	52.00 ± 1.67 / 66.25 ± 1.77	18.48 ± 2.44 / 52.18 ± 4.28	52.43 ± 1.19 / 62.08 ± 0.60	66.18 ± 0.84 / 21.10 ± 0.69	41.32 ± 1.11 / 55.43 ± 0.86	52.24 ± 1.55 / 68.01 ± 1.05	37.67 ± 0.80 / 53.26 ± 0.60	66.55 ± 2.12 / 39.28 ± 3.45	63.63 ± 1.62 / 37.25 ± 3.49	38.61 ± 2.28 / 51.46 ± 2.62	64.48 ± 0.61 / 17.46 ± 0.76	15.80 ± 2.22 / 51.42 ± 3.79	12.30 ± 2.38 / 51.96 ± 3.31	43.26 ± 2.53 / 71.49 ± 2.01	36.48 ± 0.85 / 52.32 ± 0.62	35.85 ± 1.48 / 51.83 ± 1.11	57.38 ± 1.93 / 29.69 ± 4.23	78.43 ± 0.93 / 74.54 ± 2.40	14.52 ± 2.43 / 45.18 ± 4.21	53.14 ± 1.81 / 63.00 ± 0.50	65.69 ± 0.22 / 19.95 ± 0.16	37.32 ± 0.70 / 52.95 ± 0.50	38.28 ± 1.31 / 53.70 ± 0.97	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
RJuro/munin-neuralbeagle-SkoleGPTOpenOrca-7b (few-shot, val)	7242	32	32768	False	3,008 ± 429 / 991 ± 323	2.44	2.19	2.76	2.38	50.83 ± 2.28 / 36.96 ± 2.58	43.41 ± 2.56 / 48.74 ± 2.83	19.72 ± 4.69 / 52.71 ± 5.26	57.87 ± 2.32 / 64.53 ± 1.73	66.77 ± 0.99 / 21.60 ± 0.91	72.92 ± 2.52 / 79.69 ± 1.88	68.11 ± 3.00 / 78.52 ± 2.22	40.62 ± 3.23 / 55.12 ± 2.44	53.68 ± 2.01 / 49.22 ± 2.67	61.92 ± 4.06 / 49.03 ± 3.97	47.78 ± 3.19 / 57.76 ± 2.55	64.23 ± 0.75 / 16.90 ± 0.94	0.91 ± 1.78 / 33.51 ± 0.85	1.24 ± 1.66 / 33.71 ± 0.94	47.76 ± 2.93 / 70.99 ± 2.39	28.59 ± 2.31 / 46.48 ± 1.80	42.57 ± 2.86 / 56.64 ± 2.17	59.36 ± 2.75 / 47.08 ± 4.17	72.04 ± 3.27 / 63.83 ± 2.07	22.38 ± 7.17 / 54.70 ± 5.49	57.96 ± 2.00 / 64.06 ± 1.76	65.13 ± 0.34 / 19.26 ± 0.43	29.81 ± 2.25 / 47.46 ± 1.72	35.59 ± 3.75 / 51.76 ± 2.63	9.3.2	9.3.2	9.3.2	12.5.2	12.6.1	10.0.1	10.0.1	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2
birgermoell/Rapid-Cycling (few-shot, val)	7242	32	32768	False	2,346 ± 450 / 666 ± 249	2.44	2.19	2.73	2.41	49.99 ± 2.62 / 38.37 ± 3.04	51.25 ± 2.70 / 62.67 ± 2.82	20.66 ± 5.69 / 49.98 ± 4.94	56.82 ± 1.75 / 62.40 ± 1.40	65.58 ± 1.30 / 17.82 ± 1.12	67.48 ± 3.13 / 75.62 ± 2.33	63.69 ± 2.43 / 75.31 ± 1.76	32.11 ± 3.47 / 48.55 ± 2.67	55.93 ± 2.70 / 50.51 ± 3.15	63.85 ± 2.45 / 53.11 ± 4.11	50.41 ± 5.49 / 64.49 ± 4.37	65.10 ± 0.51 / 18.12 ± 0.74	15.74 ± 4.15 / 41.16 ± 2.21	2.23 ± 4.69 / 34.70 ± 1.39	39.81 ± 2.81 / 65.65 ± 2.64	26.34 ± 1.48 / 44.69 ± 1.13	34.85 ± 4.33 / 50.23 ± 3.39	53.66 ± 3.57 / 41.97 ± 4.83	77.72 ± 2.51 / 78.40 ± 2.65	16.22 ± 4.46 / 43.17 ± 3.88	59.75 ± 1.13 / 64.72 ± 1.04	67.57 ± 0.48 / 23.65 ± 0.72	27.24 ± 2.07 / 45.51 ± 1.53	32.04 ± 4.21 / 48.67 ± 3.11	9.3.2	9.3.2	9.3.2	12.5.2	12.6.1	10.0.1	10.0.1	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2	9.3.2	9.3.2	12.5.2	9.3.2	9.3.2	9.3.2
merge-crew/da-sv-task-arithmetic (few-shot, val)	7242	32	32768	True	2,500 ± 469 / 762 ± 238	2.44	2.19	2.78	2.34	46.06 ± 3.28 / 35.43 ± 3.06	51.51 ± 4.23 / 61.68 ± 4.43	27.68 ± 4.25 / 57.59 ± 5.15	57.78 ± 1.43 / 62.26 ± 1.36	66.62 ± 1.35 / 21.92 ± 1.28	68.64 ± 3.34 / 76.45 ± 2.52	66.17 ± 3.73 / 76.72 ± 2.55	23.95 ± 2.64 / 42.19 ± 2.42	49.69 ± 2.90 / 43.57 ± 2.90	61.78 ± 2.03 / 49.91 ± 4.24	55.87 ± 5.21 / 68.97 ± 3.95	64.94 ± 0.66 / 18.09 ± 1.08	2.99 ± 3.04 / 34.16 ± 1.10	-1.29 ± 2.53 / 33.32 ± 0.91	44.62 ± 4.06 / 68.17 ± 3.48	28.26 ± 2.85 / 45.78 ± 2.14	25.83 ± 5.55 / 43.63 ± 4.29	47.28 ± 3.05 / 34.01 ± 3.73	76.62 ± 2.52 / 78.04 ± 2.98	33.23 ± 4.72 / 61.29 ± 4.67	60.00 ± 1.69 / 64.62 ± 1.44	66.68 ± 0.43 / 21.83 ± 0.75	29.95 ± 1.74 / 47.23 ± 1.24	31.12 ± 3.68 / 47.85 ± 2.80	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1
merge-crew/da-sv-slerp (few-shot, val)	7242	32	32768	True	2,467 ± 469 / 762 ± 244	2.45	2.22	2.78	2.34	45.94 ± 3.62 / 35.68 ± 3.35	51.75 ± 4.52 / 62.28 ± 4.29	28.04 ± 3.83 / 58.31 ± 5.00	57.65 ± 1.66 / 62.03 ± 1.50	66.65 ± 1.28 / 21.98 ± 1.17	68.88 ± 2.98 / 76.64 ± 2.22	64.81 ± 3.96 / 75.78 ± 2.64	23.63 ± 2.25 / 42.03 ± 2.02	49.67 ± 3.12 / 43.26 ± 3.03	61.11 ± 1.93 / 50.15 ± 4.14	56.07 ± 5.22 / 68.93 ± 4.07	64.97 ± 0.59 / 18.14 ± 1.03	3.81 ± 3.09 / 34.47 ± 1.22	-1.29 ± 2.53 / 33.32 ± 0.91	44.98 ± 4.12 / 68.18 ± 3.39	28.63 ± 2.26 / 45.94 ± 1.79	25.43 ± 4.85 / 43.48 ± 3.71	46.57 ± 3.34 / 33.94 ± 3.73	76.53 ± 2.55 / 77.96 ± 3.04	33.43 ± 3.89 / 61.87 ± 4.02	59.87 ± 1.52 / 64.53 ± 1.41	66.76 ± 0.41 / 21.92 ± 0.79	28.89 ± 2.22 / 46.41 ± 1.55	30.36 ± 2.80 / 47.15 ± 2.26	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1
senseable/WestLake-7B-v2 (few-shot)	7242	32	32768	False	5,993 ± 1,028 / 1,742 ± 561	2.45	2.27	2.63	2.46	52.61 ± 1.77 / 33.64 ± 2.67	49.81 ± 1.43 / 66.32 ± 1.25	19.64 ± 1.63 / 54.22 ± 2.32	48.03 ± 1.24 / 57.94 ± 1.02	66.67 ± 0.87 / 21.08 ± 0.83	57.65 ± 1.99 / 68.08 ± 1.51	51.99 ± 3.67 / 66.43 ± 2.85	44.44 ± 1.52 / 58.16 ± 1.21	64.37 ± 2.17 / 52.81 ± 2.48	62.77 ± 0.83 / 51.80 ± 2.77	50.60 ± 4.90 / 66.76 ± 3.04	65.09 ± 0.31 / 17.27 ± 0.66	18.09 ± 2.04 / 52.56 ± 2.60	12.25 ± 2.18 / 50.79 ± 2.42	38.34 ± 2.39 / 69.54 ± 1.96	27.33 ± 0.72 / 45.16 ± 0.55	41.59 ± 2.61 / 56.02 ± 2.08	58.90 ± 1.34 / 42.48 ± 3.97	67.74 ± 2.79 / 71.89 ± 1.89	16.52 ± 2.55 / 46.30 ± 2.62	49.41 ± 1.21 / 59.91 ± 0.48	66.09 ± 0.17 / 19.64 ± 0.27	31.76 ± 0.89 / 48.64 ± 0.69	45.84 ± 1.47 / 59.27 ± 1.16	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	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-Instruct (few-shot)	8030	128	8192	True	1,483 ± 377 / 287 ± 97	2.46	2.28	2.69	2.41	57.74 ± 2.06 / 40.66 ± 2.58	48.43 ± 3.31 / 62.09 ± 3.62	27.12 ± 2.83 / 60.40 ± 2.70	46.76 ± 1.20 / 59.77 ± 0.51	66.36 ± 0.47 / 19.75 ± 0.84	57.87 ± 1.67 / 67.43 ± 1.34	50.42 ± 3.32 / 65.43 ± 2.41	29.17 ± 2.24 / 44.59 ± 2.00	66.56 ± 1.70 / 58.47 ± 2.40	68.29 ± 1.47 / 61.22 ± 2.25	34.47 ± 0.44 / 37.96 ± 0.40	63.80 ± 0.09 / 13.37 ± 0.15	28.22 ± 1.37 / 59.51 ± 1.44	18.21 ± 2.21 / 52.84 ± 2.30	47.34 ± 1.99 / 73.23 ± 1.29	30.78 ± 0.81 / 47.33 ± 0.75	31.49 ± 1.29 / 48.15 ± 0.99	69.67 ± 1.30 / 52.94 ± 4.01	59.93 ± 4.70 / 67.54 ± 3.04	27.63 ± 3.19 / 60.85 ± 3.29	49.84 ± 1.61 / 60.85 ± 0.93	66.60 ± 0.07 / 19.13 ± 0.31	33.54 ± 1.40 / 49.20 ± 1.13	30.32 ± 2.27 / 45.96 ± 1.87	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1
birgermoell/Flashback-Bellman (few-shot, val)	7242	32	32768	False	2,887 ± 403 / 1,144 ± 345	2.47	2.34	2.75	2.33	47.71 ± 3.50 / 35.65 ± 3.07	48.21 ± 3.58 / 60.08 ± 3.41	19.55 ± 5.35 / 50.98 ± 5.74	56.46 ± 1.48 / 61.69 ± 1.28	65.46 ± 1.23 / 17.73 ± 1.16	61.29 ± 2.33 / 70.82 ± 1.78	60.29 ± 2.58 / 72.97 ± 1.79	28.33 ± 2.11 / 45.86 ± 1.72	56.44 ± 3.14 / 50.10 ± 4.61	66.56 ± 2.40 / 54.48 ± 4.93	53.24 ± 4.75 / 67.94 ± 3.75	64.96 ± 0.56 / 17.92 ± 0.82	11.96 ± 2.46 / 37.26 ± 1.15	2.50 ± 4.21 / 35.26 ± 1.79	39.21 ± 3.48 / 64.09 ± 3.49	26.64 ± 1.95 / 44.88 ± 1.41	31.14 ± 2.64 / 48.01 ± 2.14	55.29 ± 3.95 / 41.59 ± 4.48	78.29 ± 1.83 / 78.77 ± 2.06	18.45 ± 3.00 / 46.38 ± 2.81	58.42 ± 1.64 / 63.83 ± 1.18	67.54 ± 0.48 / 23.67 ± 0.69	29.44 ± 2.34 / 46.95 ± 1.75	37.45 ± 3.61 / 52.85 ± 2.76	9.3.1	9.3.1	9.3.1	12.5.2	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1
google/gemma-7b (few-shot)	8538	256	8192	True	1,378 ± 260 / 387 ± 119	2.50	2.41	2.77	2.33	19.59 ± 2.54 / 15.47 ± 2.19	46.55 ± 1.89 / 59.52 ± 3.56	32.64 ± 2.91 / 63.84 ± 1.69	59.40 ± 1.02 / 64.81 ± 0.91	66.63 ± 0.82 / 22.82 ± 0.62	74.32 ± 0.96 / 80.31 ± 0.79	65.58 ± 2.10 / 76.41 ± 1.54	24.74 ± 2.86 / 39.03 ± 1.70	26.43 ± 3.36 / 26.32 ± 2.35	32.66 ± 3.42 / 29.43 ± 1.74	41.82 ± 3.69 / 53.06 ± 5.15	64.02 ± 1.35 / 17.65 ± 1.59	25.82 ± 4.43 / 59.85 ± 4.07	20.16 ± 3.43 / 53.83 ± 5.61	52.68 ± 3.58 / 75.16 ± 2.44	39.96 ± 0.97 / 53.03 ± 0.89	27.82 ± 4.59 / 41.21 ± 4.09	43.68 ± 3.65 / 29.40 ± 3.10	77.72 ± 4.50 / 77.58 ± 4.13	36.25 ± 2.66 / 65.08 ± 2.92	58.62 ± 0.98 / 64.23 ± 0.88	64.44 ± 0.29 / 18.70 ± 0.57	39.94 ± 1.17 / 53.25 ± 0.89	25.96 ± 3.94 / 40.33 ± 3.17	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.10.0
AI-Sweden-Models/tyr (few-shot, val)	7242	32	32768	False	6,079 ± 1,051 / 1,760 ± 570	2.51	2.33	2.84	2.37	47.01 ± 2.76 / 36.47 ± 3.27	50.60 ± 3.33 / 65.49 ± 2.38	13.73 ± 3.33 / 52.15 ± 3.17	56.35 ± 1.68 / 61.63 ± 1.33	66.82 ± 1.02 / 22.26 ± 1.10	57.53 ± 3.61 / 67.77 ± 2.64	67.04 ± 2.33 / 78.12 ± 1.58	22.16 ± 1.56 / 40.90 ± 1.34	58.60 ± 4.42 / 52.72 ± 4.93	63.15 ± 2.29 / 54.03 ± 4.33	51.85 ± 3.51 / 64.28 ± 2.54	64.57 ± 0.59 / 17.58 ± 0.98	0.66 ± 1.29 / 33.42 ± 0.80	0.53 ± 1.05 / 33.42 ± 0.73	43.22 ± 2.24 / 68.55 ± 2.42	26.09 ± 2.24 / 44.41 ± 1.68	23.43 ± 2.86 / 42.30 ± 2.29	56.21 ± 2.49 / 44.78 ± 4.19	78.30 ± 1.71 / 79.80 ± 2.03	14.35 ± 5.65 / 48.69 ± 4.30	61.08 ± 1.47 / 65.72 ± 1.07	67.96 ± 0.40 / 24.14 ± 0.74	31.74 ± 2.48 / 48.52 ± 1.88	30.12 ± 2.07 / 47.58 ± 1.29	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.5.2	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2
merge-crew/da-sv-dare-ties-density-0.9 (few-shot, val)	7242	32	32768	True	2,443 ± 458 / 750 ± 240	2.51	2.38	2.76	2.40	45.61 ± 3.06 / 35.04 ± 2.94	53.73 ± 3.06 / 67.51 ± 2.16	17.08 ± 5.36 / 52.62 ± 5.62	56.67 ± 1.19 / 61.18 ± 1.07	66.14 ± 1.40 / 20.98 ± 1.16	60.58 ± 2.62 / 69.80 ± 2.03	57.89 ± 3.66 / 70.00 ± 2.59	16.45 ± 1.87 / 35.47 ± 1.77	48.24 ± 3.18 / 42.53 ± 3.52	61.50 ± 1.54 / 50.90 ± 4.58	49.40 ± 3.40 / 60.71 ± 3.33	64.56 ± 0.80 / 17.62 ± 1.06	24.12 ± 3.24 / 59.38 ± 2.25	13.20 ± 3.16 / 54.42 ± 3.04	47.93 ± 3.46 / 69.52 ± 3.06	26.21 ± 2.32 / 42.54 ± 1.71	17.00 ± 2.59 / 33.52 ± 2.18	46.61 ± 3.11 / 34.10 ± 4.61	76.38 ± 2.01 / 78.30 ± 2.42	34.16 ± 4.39 / 60.06 ± 4.67	58.77 ± 1.76 / 63.50 ± 1.47	66.77 ± 0.46 / 22.42 ± 0.84	29.77 ± 2.44 / 46.25 ± 1.64	25.38 ± 3.56 / 39.34 ± 3.89	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1
mistralai/Ministral-8B-Instruct-2410 (few-shot)	8020	131	32768	True	1,302 ± 323 / 253 ± 86	2.51	2.35	2.74	2.45	55.49 ± 2.05 / 34.11 ± 1.79	49.18 ± 1.89 / 65.27 ± 1.69	7.40 ± 1.81 / 35.19 ± 0.73	57.72 ± 0.54 / 64.99 ± 0.45	65.10 ± 0.22 / 15.51 ± 0.44	45.83 ± 2.26 / 56.80 ± 1.75	59.45 ± 2.23 / 72.70 ± 1.59	35.46 ± 5.42 / 49.09 ± 4.65	67.24 ± 1.06 / 45.38 ± 2.20	66.08 ± 1.05 / 47.58 ± 3.27	31.41 ± 0.86 / 33.56 ± 0.97	62.89 ± 0.12 / 11.72 ± 0.18	28.72 ± 2.42 / 58.62 ± 3.68	20.55 ± 3.71 / 54.24 ± 4.15	40.60 ± 2.39 / 68.91 ± 2.08	30.39 ± 1.20 / 46.55 ± 1.05	38.46 ± 2.98 / 52.16 ± 2.44	54.76 ± 1.82 / 31.21 ± 2.67	73.32 ± 1.59 / 75.58 ± 1.15	16.17 ± 2.98 / 42.93 ± 2.72	57.94 ± 0.58 / 65.27 ± 0.58	65.95 ± 0.08 / 17.10 ± 0.06	30.08 ± 1.00 / 46.33 ± 0.78	39.51 ± 1.84 / 53.10 ± 1.65	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
nvidia/mistral-nemo-minitron-8b-base (few-shot)	8414	131	8192	True	2,470 ± 836 / 326 ± 111	2.51	2.34	2.73	2.45	49.85 ± 2.30 / 33.79 ± 3.10	49.52 ± 1.96 / 66.14 ± 1.58	32.35 ± 2.54 / 64.15 ± 2.71	52.54 ± 3.16 / 58.28 ± 3.02	65.13 ± 0.61 / 19.61 ± 0.53	52.71 ± 1.70 / 63.89 ± 1.30	63.47 ± 1.81 / 75.66 ± 1.22	16.30 ± 4.29 / 34.08 ± 3.38	64.15 ± 1.20 / 47.04 ± 3.09	62.16 ± 1.91 / 46.60 ± 2.86	55.29 ± 1.82 / 69.90 ± 1.64	60.17 ± 0.83 / 13.31 ± 0.63	32.30 ± 3.70 / 60.88 ± 3.83	22.82 ± 1.34 / 57.53 ± 2.19	32.62 ± 5.27 / 54.92 ± 6.28	35.37 ± 1.16 / 50.76 ± 0.97	15.39 ± 2.01 / 32.25 ± 1.49	58.75 ± 1.62 / 39.78 ± 2.75	79.59 ± 0.77 / 77.48 ± 1.05	33.09 ± 2.18 / 66.25 ± 1.20	47.28 ± 6.79 / 53.05 ± 6.94	62.78 ± 0.48 / 16.54 ± 0.78	36.58 ± 1.09 / 51.81 ± 0.85	18.78 ± 2.26 / 35.54 ± 2.19	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1
danish-foundation-models/munin-7b-v0.1dev0 (few-shot)	7242	32	8192	True	6,113 ± 1,044 / 1,790 ± 579	2.52	2.27	2.78	2.52	39.12 ± 4.28 / 28.74 ± 2.75	36.47 ± 4.90 / 50.72 ± 6.21	26.76 ± 4.78 / 57.02 ± 5.13	58.75 ± 1.19 / 64.41 ± 0.77	67.89 ± 1.20 / 24.67 ± 1.26	91.32 ± 0.66 / 93.45 ± 0.50	79.92 ± 1.83 / 85.82 ± 1.39	24.76 ± 3.27 / 42.17 ± 2.72	50.43 ± 2.27 / 42.19 ± 3.03	54.20 ± 1.81 / 43.92 ± 2.94	39.21 ± 5.64 / 56.54 ± 6.43	65.46 ± 0.77 / 19.21 ± 1.10	20.51 ± 4.43 / 52.48 ± 5.96	11.66 ± 4.10 / 48.13 ± 6.13	51.57 ± 3.87 / 73.95 ± 3.51	28.97 ± 1.40 / 45.70 ± 1.02	25.41 ± 3.81 / 42.75 ± 3.44	47.10 ± 2.60 / 35.06 ± 3.65	73.05 ± 5.27 / 74.56 ± 4.19	30.29 ± 2.63 / 61.40 ± 3.22	57.39 ± 1.38 / 63.51 ± 1.04	64.69 ± 0.53 / 19.03 ± 0.41	27.40 ± 0.76 / 44.17 ± 0.82	21.08 ± 3.28 / 38.46 ± 2.96	12.5.2	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.5.2	12.5.2	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.5.2	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0
mlabonne/AlphaMonarch-7B (few-shot, val)	7242	32	8192	False	5,340 ± 1,262 / 1,157 ± 375	2.52	2.32	2.73	2.51	52.72 ± 2.21 / 39.49 ± 3.47	49.11 ± 3.91 / 64.78 ± 2.61	16.09 ± 3.74 / 54.94 ± 2.92	46.28 ± 1.53 / 56.13 ± 1.09	66.62 ± 0.96 / 21.03 ± 0.80	60.03 ± 5.14 / 70.04 ± 3.73	59.83 ± 4.38 / 72.27 ± 3.40	40.40 ± 3.24 / 55.04 ± 2.57	61.90 ± 2.57 / 57.16 ± 2.81	66.92 ± 2.52 / 57.81 ± 3.54	48.80 ± 4.56 / 63.38 ± 3.06	64.72 ± 0.39 / 17.40 ± 0.60	19.53 ± 5.49 / 51.96 ± 4.90	9.83 ± 4.57 / 47.95 ± 2.22	30.27 ± 2.28 / 62.04 ± 2.19	28.18 ± 1.89 / 45.23 ± 1.44	36.20 ± 3.97 / 50.74 ± 3.38	60.53 ± 3.06 / 48.45 ± 5.19	67.03 ± 3.61 / 70.77 ± 1.95	15.10 ± 4.60 / 48.57 ± 2.91	42.46 ± 1.63 / 53.50 ± 1.40	67.94 ± 0.21 / 22.99 ± 0.24	27.51 ± 3.08 / 45.43 ± 2.37	42.29 ± 5.08 / 55.43 ± 4.50	12.5.2	12.5.2	12.5.2	12.5.2	12.6.1	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2
timpal0l/njord-alpha (few-shot)	7242	32	32768	True	5,431 ± 1,267 / 1,139 ± 365	2.53	2.31	2.79	2.50	38.25 ± 3.75 / 28.14 ± 3.06	39.37 ± 2.09 / 56.57 ± 1.90	29.76 ± 3.24 / 61.80 ± 2.22	57.02 ± 1.28 / 63.16 ± 0.90	67.57 ± 1.27 / 24.15 ± 1.17	83.45 ± 1.44 / 87.17 ± 1.20	70.43 ± 2.76 / 79.43 ± 1.95	16.43 ± 1.75 / 33.75 ± 1.91	50.47 ± 2.96 / 43.31 ± 2.54	51.97 ± 3.83 / 42.66 ± 5.03	48.03 ± 1.71 / 65.89 ± 1.68	65.48 ± 1.22 / 19.57 ± 1.57	22.65 ± 3.80 / 51.83 ± 5.03	17.10 ± 4.78 / 49.03 ± 6.45	44.72 ± 4.47 / 68.08 ± 4.22	25.82 ± 0.84 / 42.08 ± 0.80	21.35 ± 3.32 / 37.35 ± 3.07	48.19 ± 2.55 / 37.50 ± 3.62	79.95 ± 0.87 / 81.24 ± 0.64	32.85 ± 2.28 / 61.74 ± 3.05	57.39 ± 1.52 / 63.58 ± 1.19	65.95 ± 0.25 / 20.56 ± 0.37	25.32 ± 0.99 / 42.09 ± 1.04	14.55 ± 2.32 / 31.99 ± 2.16	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
KennethEnevoldsen/munin_mistral-7b (few-shot, val)	7242	32	32768	False	2,543 ± 466 / 787 ± 247	2.55	2.31	2.76	2.58	46.70 ± 3.49 / 36.30 ± 2.65	47.52 ± 3.90 / 55.98 ± 4.69	8.04 ± 5.32 / 36.02 ± 2.59	60.05 ± 1.30 / 64.15 ± 1.20	67.18 ± 1.23 / 22.71 ± 1.10	70.49 ± 3.13 / 77.89 ± 2.32	66.28 ± 4.60 / 76.88 ± 3.34	25.13 ± 3.45 / 43.24 ± 2.58	51.82 ± 4.16 / 44.64 ± 4.66	62.55 ± 3.84 / 49.66 ± 5.87	56.37 ± 4.27 / 69.55 ± 4.52	63.74 ± 1.20 / 16.64 ± 1.53	6.04 ± 5.92 / 36.34 ± 3.96	-0.02 ± 0.04 / 33.47 ± 0.88	48.85 ± 4.11 / 70.75 ± 3.73	28.43 ± 2.75 / 45.94 ± 2.14	20.49 ± 3.69 / 40.00 ± 2.80	52.34 ± 3.07 / 39.14 ± 4.60	77.66 ± 2.09 / 78.59 ± 2.41	6.00 ± 4.15 / 36.34 ± 2.20	60.16 ± 1.81 / 64.12 ± 1.59	65.54 ± 0.49 / 19.31 ± 0.71	31.83 ± 2.27 / 48.55 ± 1.67	20.55 ± 3.93 / 38.95 ± 3.23	12.5.2	12.3.1	12.3.1	12.3.2	12.6.1	12.3.2	12.3.2	12.3.2	12.5.2	12.5.2	12.3.1	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.5.2	12.3.1	12.3.1	12.3.2	12.3.2	12.3.2	12.3.2
meta-llama/Llama-3.1-8B (few-shot)	8030	128	131072	True	2,986 ± 823 / 276 ± 94	2.55	2.34	2.85	2.46	50.92 ± 1.88 / 34.24 ± 2.85	47.86 ± 1.66 / 62.47 ± 1.97	29.19 ± 2.02 / 59.61 ± 3.20	48.38 ± 5.07 / 55.27 ± 4.71	64.89 ± 0.69 / 18.31 ± 1.03	51.88 ± 2.75 / 63.27 ± 2.28	62.31 ± 1.65 / 74.08 ± 1.29	27.37 ± 2.18 / 44.83 ± 1.77	65.17 ± 2.02 / 52.91 ± 2.25	60.22 ± 2.29 / 50.51 ± 3.15	34.02 ± 0.93 / 37.19 ± 0.86	62.16 ± 0.46 / 14.17 ± 0.62	32.48 ± 3.31 / 63.48 ± 2.97	18.38 ± 4.77 / 49.87 ± 5.55	33.06 ± 4.39 / 58.56 ± 4.32	32.40 ± 1.19 / 48.21 ± 0.92	24.89 ± 2.57 / 43.29 ± 1.79	62.19 ± 2.34 / 43.29 ± 4.62	80.31 ± 0.45 / 76.50 ± 1.19	30.29 ± 3.08 / 56.52 ± 4.71	42.78 ± 7.55 / 49.56 ± 7.91	64.14 ± 0.58 / 18.03 ± 0.51	35.10 ± 1.17 / 50.10 ± 0.98	23.18 ± 2.01 / 41.44 ± 1.95	14.0.3	14.1.2	14.1.2	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
merge-crew/da-sv-ties (few-shot, val)	7242	32	32768	True	2,457 ± 451 / 757 ± 237	2.57	2.42	2.83	2.45	45.39 ± 2.46 / 34.45 ± 2.56	51.95 ± 2.65 / 65.69 ± 2.11	13.25 ± 6.27 / 45.66 ± 5.58	58.51 ± 1.35 / 62.73 ± 1.19	66.33 ± 1.33 / 21.24 ± 1.23	57.16 ± 3.03 / 66.99 ± 2.44	60.06 ± 3.26 / 71.17 ± 2.36	13.62 ± 3.14 / 33.40 ± 2.67	47.61 ± 2.50 / 42.16 ± 2.82	60.57 ± 2.02 / 48.89 ± 4.48	44.46 ± 4.10 / 52.31 ± 4.53	64.59 ± 0.86 / 17.61 ± 1.09	23.99 ± 5.54 / 60.60 ± 2.74	11.60 ± 3.18 / 53.40 ± 2.75	47.02 ± 3.37 / 69.07 ± 2.64	27.13 ± 1.80 / 42.23 ± 1.12	15.65 ± 2.90 / 31.76 ± 2.07	48.36 ± 3.07 / 34.48 ± 5.22	76.57 ± 2.19 / 78.11 ± 2.73	20.94 ± 5.55 / 44.72 ± 4.06	59.07 ± 1.90 / 63.87 ± 1.46	66.59 ± 0.50 / 22.19 ± 0.78	31.44 ± 1.94 / 47.30 ± 1.54	26.04 ± 3.42 / 38.83 ± 4.24	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1
AI-Sweden-Models/Llama-3-8B (few-shot)	8030	128	8192	True	4,141 ± 994 / 905 ± 299	2.58	2.33	2.84	2.57	36.72 ± 3.33 / 27.73 ± 2.57	46.48 ± 1.17 / 55.20 ± 2.51	26.10 ± 3.17 / 59.19 ± 3.94	58.00 ± 0.91 / 64.11 ± 0.64	67.23 ± 1.11 / 23.15 ± 1.07	82.84 ± 0.94 / 87.01 ± 0.71	75.27 ± 1.67 / 83.44 ± 1.19	14.55 ± 2.72 / 33.99 ± 2.19	44.53 ± 2.58 / 36.59 ± 1.71	47.02 ± 2.08 / 39.99 ± 2.76	41.84 ± 2.46 / 56.79 ± 2.95	65.29 ± 1.50 / 19.34 ± 1.91	19.97 ± 3.99 / 47.40 ± 4.84	15.61 ± 4.20 / 43.40 ± 4.90	50.91 ± 4.42 / 73.43 ± 3.55	30.85 ± 1.15 / 46.02 ± 0.92	18.61 ± 3.08 / 36.62 ± 2.86	36.45 ± 2.44 / 27.24 ± 2.29	81.12 ± 1.02 / 77.04 ± 2.74	26.80 ± 2.07 / 59.15 ± 2.72	58.16 ± 0.82 / 64.72 ± 0.72	66.09 ± 0.31 / 20.48 ± 0.47	29.01 ± 0.68 / 45.32 ± 0.67	15.92 ± 1.74 / 35.28 ± 1.24	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5
bineric/NorskGPT-Llama3-8b (few-shot)	8030	128	8192	False	3,382 ± 383 / 1,309 ± 509	2.58	2.34	3.03	2.36	51.40 ± 3.08 / 37.70 ± 3.28	42.13 ± 0.57 / 45.91 ± 0.39	3.91 ± 2.02 / 34.38 ± 0.47	57.81 ± 1.03 / 66.28 ± 0.48	66.70 ± 0.98 / 21.56 ± 0.85	65.15 ± 1.40 / 73.55 ± 1.05	57.36 ± 2.49 / 70.88 ± 1.70	44.55 ± 1.98 / 57.29 ± 1.77	64.34 ± 2.67 / 57.96 ± 2.14	59.50 ± 3.79 / 56.59 ± 3.46	35.60 ± 0.91 / 38.71 ± 0.43	61.95 ± 0.98 / 13.77 ± 1.67	31.69 ± 2.05 / 64.62 ± 0.78	24.58 ± 1.68 / 59.41 ± 2.26	0.10 ± 0.05 / 28.89 ± 5.58	32.03 ± 1.45 / 48.66 ± 0.97	41.45 ± 4.00 / 55.28 ± 3.27	63.19 ± 2.83 / 51.22 ± 3.61	76.06 ± 0.64 / 61.59 ± 0.77	5.34 ± 1.42 / 34.32 ± 0.56	56.70 ± 0.87 / 66.00 ± 0.59	66.25 ± 0.16 / 20.28 ± 0.33	36.23 ± 0.91 / 51.68 ± 0.73	43.60 ± 1.33 / 56.86 ± 1.15	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	12.7.0	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	2.58	2.44	2.77	2.53	44.58 ± 2.62 / 33.50 ± 2.75	47.16 ± 1.36 / 64.63 ± 1.18	19.20 ± 2.44 / 53.44 ± 4.36	58.41 ± 1.36 / 63.32 ± 0.89	65.64 ± 0.99 / 21.12 ± 0.86	32.05 ± 2.18 / 47.54 ± 1.78	47.42 ± 1.74 / 65.02 ± 1.13	28.73 ± 1.32 / 46.04 ± 1.04	49.94 ± 2.13 / 46.49 ± 2.00	52.17 ± 1.02 / 46.44 ± 2.72	53.27 ± 1.54 / 66.73 ± 1.31	63.01 ± 1.50 / 15.82 ± 1.50	17.22 ± 3.50 / 50.42 ± 5.01	12.01 ± 2.47 / 47.98 ± 4.37	45.04 ± 3.42 / 69.52 ± 2.79	24.31 ± 1.12 / 42.68 ± 0.87	30.34 ± 1.41 / 47.38 ± 1.10	44.80 ± 2.36 / 34.91 ± 2.67	75.92 ± 2.44 / 75.77 ± 2.08	24.84 ± 2.78 / 59.88 ± 4.08	56.71 ± 1.65 / 62.01 ± 1.64	63.65 ± 0.52 / 18.25 ± 0.41	26.71 ± 1.53 / 44.61 ± 1.21	30.43 ± 0.92 / 47.06 ± 0.83	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	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	32768	False	1,440 ± 352 / 293 ± 99	2.59	2.41	2.91	2.45	50.76 ± 1.60 / 32.89 ± 2.11	40.41 ± 0.79 / 44.17 ± 0.56	0.00 ± 0.00 / 33.41 ± 0.23	57.26 ± 0.79 / 63.80 ± 0.52	66.89 ± 0.71 / 21.43 ± 0.57	64.32 ± 1.99 / 73.00 ± 1.51	53.18 ± 2.37 / 67.48 ± 1.70	43.42 ± 1.05 / 57.50 ± 0.80	62.98 ± 1.81 / 46.61 ± 3.01	60.12 ± 1.27 / 43.49 ± 2.87	35.47 ± 0.80 / 38.01 ± 0.57	64.52 ± 0.21 / 16.96 ± 0.28	15.15 ± 1.99 / 45.37 ± 3.71	9.49 ± 1.78 / 43.92 ± 3.35	27.06 ± 2.88 / 49.25 ± 4.63	29.91 ± 1.13 / 47.03 ± 0.81	37.75 ± 1.52 / 52.97 ± 1.19	58.40 ± 2.62 / 40.55 ± 3.65	74.30 ± 1.26 / 60.35 ± 0.41	0.00 ± 0.00 / 33.37 ± 0.27	59.16 ± 1.23 / 65.78 ± 0.72	65.36 ± 0.14 / 18.81 ± 0.17	35.01 ± 0.99 / 51.07 ± 0.70	43.72 ± 0.69 / 57.66 ± 0.50	9.3.1	9.3.1	9.3.1	12.5.1	12.6.1	10.0.1	10.0.1	9.3.1	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	9.3.1	9.3.1	9.3.1	12.5.1	11.0.0	9.3.1	9.3.1
Mabeck/Heidrun-Mistral-7B-chat (few-shot)	7242	32	4096	False	1,419 ± 349 / 286 ± 97	2.61	2.64	2.70	2.49	51.93 ± 1.66 / 34.88 ± 2.57	49.86 ± 1.51 / 65.11 ± 1.52	20.25 ± 3.13 / 52.74 ± 4.16	25.84 ± 5.68 / 35.74 ± 5.40	66.28 ± 0.28 / 20.94 ± 0.42	42.73 ± 1.93 / 55.91 ± 1.44	60.78 ± 2.31 / 73.79 ± 1.60	16.39 ± 1.53 / 36.26 ± 1.38	61.41 ± 1.71 / 52.32 ± 2.63	59.49 ± 1.26 / 49.45 ± 3.31	49.19 ± 1.64 / 63.36 ± 1.52	64.22 ± 0.52 / 16.72 ± 0.66	15.17 ± 2.64 / 50.25 ± 4.51	10.78 ± 1.99 / 50.08 ± 4.20	48.99 ± 2.91 / 73.08 ± 2.26	27.64 ± 1.39 / 45.78 ± 1.03	25.74 ± 1.87 / 43.95 ± 1.58	55.06 ± 2.38 / 41.39 ± 4.31	77.50 ± 0.90 / 73.87 ± 1.21	17.47 ± 2.33 / 47.73 ± 3.35	58.67 ± 0.96 / 64.58 ± 0.78	64.18 ± 0.24 / 18.13 ± 0.35	31.04 ± 1.08 / 48.29 ± 0.82	23.57 ± 1.68 / 42.37 ± 1.34	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	10.0.1	10.0.1	10.0.1	12.5.0	10.0.1	10.0.1	12.5.0	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	12.5.0	12.5.0	10.0.1	10.0.1
ThatsGroes/munin-SkoleGPTOpenOrca-7b-16bit (few-shot)	7242	32	32768	False	3,006 ± 479 / 1,053 ± 319	2.61	2.28	2.90	2.64	45.37 ± 2.53 / 28.99 ± 2.18	39.63 ± 1.90 / 46.93 ± 2.68	21.77 ± 3.54 / 47.96 ± 4.57	58.28 ± 0.73 / 64.76 ± 0.47	67.91 ± 0.79 / 24.44 ± 0.46	78.71 ± 1.22 / 83.82 ± 0.94	63.74 ± 2.06 / 74.88 ± 1.46	28.58 ± 0.96 / 45.97 ± 0.76	51.99 ± 1.85 / 37.40 ± 2.95	52.74 ± 1.13 / 36.83 ± 1.95	50.39 ± 1.38 / 66.42 ± 1.20	64.20 ± 0.44 / 16.28 ± 0.55	0.99 ± 1.03 / 33.56 ± 0.25	1.27 ± 1.30 / 34.04 ± 0.45	47.95 ± 3.19 / 72.60 ± 2.57	25.74 ± 0.98 / 43.89 ± 0.69	26.36 ± 1.73 / 44.31 ± 1.40	44.64 ± 1.66 / 31.30 ± 2.96	77.98 ± 1.01 / 72.79 ± 2.47	16.57 ± 2.58 / 51.86 ± 3.69	57.31 ± 0.92 / 63.73 ± 1.04	63.23 ± 0.35 / 15.35 ± 0.57	28.15 ± 0.90 / 45.69 ± 0.72	23.58 ± 1.41 / 42.30 ± 1.04	11.0.0	11.0.0	11.0.0	12.4.0	12.6.1	10.0.1	10.0.1	11.0.0	11.0.0	11.0.0	11.0.0	12.4.0	11.0.0	11.0.0	12.4.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	12.4.0	12.4.0	11.0.0	11.0.0
meta-llama/Meta-Llama-3-8B (few-shot)	8030	128	8192	True	1,477 ± 376 / 285 ± 97	2.61	2.39	2.96	2.47	49.46 ± 1.88 / 32.11 ± 2.41	51.16 ± 2.15 / 67.00 ± 1.51	23.01 ± 3.93 / 49.99 ± 4.63	49.75 ± 5.10 / 56.13 ± 4.89	65.26 ± 0.48 / 18.81 ± 0.72	51.64 ± 2.09 / 63.34 ± 1.71	59.28 ± 1.85 / 72.62 ± 1.29	24.30 ± 3.14 / 42.50 ± 2.67	62.89 ± 2.01 / 50.34 ± 1.92	56.18 ± 3.26 / 47.30 ± 2.62	33.07 ± 0.73 / 37.60 ± 0.49	61.95 ± 0.69 / 14.09 ± 0.61	30.73 ± 3.19 / 64.06 ± 2.41	20.57 ± 3.62 / 54.22 ± 5.15	30.77 ± 4.33 / 54.66 ± 4.41	30.95 ± 1.33 / 47.50 ± 0.99	21.98 ± 2.12 / 41.07 ± 1.52	59.92 ± 2.46 / 40.98 ± 4.90	80.91 ± 0.41 / 78.09 ± 1.22	26.39 ± 3.47 / 52.38 ± 4.49	47.69 ± 6.29 / 54.30 ± 6.65	63.94 ± 0.48 / 17.92 ± 0.37	33.39 ± 0.95 / 49.21 ± 0.77	20.21 ± 1.46 / 39.29 ± 1.54	14.0.3	14.1.2	14.1.2	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
merge-crew/da-sv-dare-ties-density-0.6 (few-shot, val)	7242	32	32768	True	2,515 ± 465 / 785 ± 247	2.62	2.48	2.87	2.51	46.03 ± 3.93 / 34.23 ± 2.86	49.59 ± 3.26 / 63.45 ± 2.61	12.72 ± 3.51 / 46.56 ± 5.33	57.03 ± 1.13 / 61.58 ± 1.01	65.24 ± 1.45 / 19.37 ± 1.48	59.88 ± 2.64 / 69.41 ± 2.10	59.51 ± 3.33 / 71.02 ± 2.26	16.86 ± 4.05 / 34.77 ± 3.07	47.26 ± 3.76 / 40.22 ± 3.43	59.35 ± 2.82 / 45.26 ± 3.91	54.93 ± 3.49 / 68.45 ± 2.61	64.25 ± 0.86 / 16.92 ± 1.27	9.00 ± 2.87 / 37.53 ± 2.91	5.26 ± 3.15 / 39.01 ± 3.54	45.95 ± 3.12 / 68.00 ± 3.07	21.89 ± 2.60 / 39.61 ± 2.11	15.32 ± 3.65 / 34.57 ± 2.40	45.12 ± 2.72 / 30.73 ± 4.55	78.74 ± 2.13 / 80.11 ± 2.64	19.74 ± 6.09 / 46.97 ± 5.83	60.15 ± 1.71 / 65.22 ± 1.28	66.41 ± 0.46 / 21.90 ± 0.70	31.24 ± 3.01 / 47.77 ± 2.19	22.30 ± 3.50 / 39.45 ± 2.60	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1
timpal0l/Mistral-7B-v0.1-flashback-v2 (few-shot)	7242	32	32768	True	5,054 ± 1,200 / 1,056 ± 339	2.62	2.52	2.91	2.42	42.43 ± 3.36 / 29.30 ± 2.53	47.82 ± 2.00 / 63.19 ± 2.09	16.51 ± 2.59 / 52.73 ± 3.91	56.95 ± 1.21 / 62.20 ± 0.83	65.43 ± 1.12 / 20.36 ± 0.95	50.76 ± 1.75 / 62.66 ± 1.43	50.82 ± 1.17 / 66.66 ± 0.76	14.47 ± 2.35 / 34.86 ± 1.97	48.97 ± 2.42 / 39.15 ± 2.78	51.52 ± 2.96 / 40.17 ± 3.62	49.05 ± 2.73 / 63.94 ± 2.42	63.32 ± 1.58 / 16.33 ± 1.63	14.37 ± 2.18 / 47.80 ± 4.36	9.96 ± 1.34 / 48.97 ± 3.77	44.07 ± 3.40 / 68.49 ± 2.97	25.07 ± 1.48 / 43.13 ± 1.15	15.56 ± 3.55 / 35.85 ± 2.56	44.14 ± 2.40 / 29.77 ± 4.06	80.14 ± 1.11 / 80.19 ± 0.78	34.23 ± 2.23 / 65.29 ± 2.17	57.07 ± 1.56 / 62.52 ± 1.11	65.15 ± 0.31 / 18.72 ± 0.57	33.24 ± 0.85 / 49.69 ± 0.67	25.50 ± 2.25 / 43.44 ± 2.03	12.5.3	12.5.3	12.5.3	12.5.3	12.6.1	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3	12.5.3
CohereForAI/c4ai-command-r-v01 (few-shot)	34981	256	8192	False	1,919 ± 645 / 248 ± 83	2.63	2.39	2.91	2.60	53.44 ± 1.53 / 33.98 ± 1.94	49.17 ± 1.04 / 61.82 ± 1.64	20.55 ± 1.56 / 51.55 ± 2.37	51.70 ± 1.48 / 62.01 ± 1.21	65.47 ± 0.14 / 17.13 ± 0.39	37.41 ± 1.84 / 52.54 ± 1.27	62.46 ± 2.29 / 74.92 ± 1.54	26.25 ± 1.68 / 43.96 ± 1.25	61.54 ± 2.53 / 42.44 ± 2.12	60.94 ± 1.48 / 43.92 ± 2.09	35.73 ± 0.66 / 38.06 ± 0.54	63.77 ± 0.17 / 13.21 ± 0.37	21.33 ± 2.08 / 52.01 ± 3.05	13.20 ± 1.51 / 52.20 ± 2.53	32.36 ± 1.99 / 61.64 ± 1.20	27.87 ± 1.17 / 45.13 ± 1.00	30.99 ± 1.23 / 47.54 ± 0.95	47.15 ± 2.31 / 29.98 ± 2.07	80.24 ± 0.75 / 78.86 ± 1.28	11.35 ± 1.20 / 41.82 ± 1.41	49.93 ± 1.69 / 61.00 ± 1.14	65.30 ± 0.09 / 17.12 ± 0.25	29.64 ± 1.87 / 46.27 ± 1.65	31.96 ± 1.53 / 48.43 ± 1.09	14.0.4	14.0.4	14.0.4	14.0.4	14.1.1	14.1.1	14.1.1	14.1.1	14.0.4	14.0.4	14.0.4	14.1.1	14.0.4	14.0.4	14.0.4	14.1.1	14.1.1	14.0.4	14.0.4	14.0.4	14.0.4	14.1.1	14.1.1	14.1.1
timpal0l/Llama-3-8B-flashback-v1 (few-shot)	8030	128	8192	True	3,004 ± 771 / 534 ± 179	2.64	2.54	2.90	2.48	46.59 ± 4.16 / 31.16 ± 3.95	50.25 ± 1.25 / 66.18 ± 1.01	14.46 ± 2.48 / 50.96 ± 4.22	56.86 ± 1.23 / 62.50 ± 0.92	61.98 ± 1.03 / 15.41 ± 1.03	46.91 ± 1.59 / 59.57 ± 1.13	50.98 ± 1.94 / 66.25 ± 1.43	16.33 ± 2.72 / 35.98 ± 2.43	59.09 ± 1.89 / 52.82 ± 2.60	60.02 ± 1.44 / 52.04 ± 2.63	47.58 ± 1.91 / 64.35 ± 1.95	58.88 ± 1.42 / 10.65 ± 1.13	10.52 ± 4.67 / 46.13 ± 6.95	6.67 ± 4.53 / 40.61 ± 5.40	49.89 ± 4.89 / 71.90 ± 4.09	29.17 ± 1.09 / 46.02 ± 0.72	17.46 ± 1.74 / 36.36 ± 1.79	57.01 ± 1.71 / 43.34 ± 3.83	81.97 ± 0.56 / 81.46 ± 0.69	31.16 ± 1.80 / 59.86 ± 3.31	53.99 ± 1.82 / 60.85 ± 1.80	63.70 ± 1.01 / 17.34 ± 0.53	29.77 ± 1.40 / 46.79 ± 1.02	15.86 ± 1.87 / 35.85 ± 1.86	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	14.1.1	14.1.2	14.1.2	14.1.1	14.1.1	14.1.1	14.1.1
ibm-granite/granite-3.0-8b-instruct (few-shot)	8171	49	4096	True	1,118 ± 302 / 184 ± 63	2.66	2.54	2.84	2.59	44.92 ± 3.05 / 32.65 ± 2.50	49.31 ± 1.35 / 66.02 ± 1.10	10.14 ± 2.87 / 44.99 ± 4.82	57.34 ± 0.99 / 63.24 ± 0.44	66.02 ± 0.75 / 20.91 ± 0.70	33.71 ± 1.69 / 49.70 ± 1.24	43.55 ± 3.67 / 62.50 ± 2.36	21.34 ± 1.27 / 39.77 ± 1.09	53.79 ± 1.52 / 46.58 ± 1.73	56.13 ± 0.91 / 47.13 ± 2.04	51.36 ± 2.53 / 66.19 ± 2.08	62.40 ± 1.11 / 13.68 ± 1.61	6.83 ± 2.54 / 38.36 ± 3.81	8.09 ± 2.03 / 41.05 ± 4.14	48.01 ± 2.52 / 73.03 ± 1.99	24.55 ± 0.94 / 42.12 ± 0.85	26.71 ± 1.68 / 44.15 ± 1.46	44.94 ± 2.91 / 35.67 ± 3.53	76.78 ± 1.63 / 78.27 ± 1.22	16.96 ± 2.77 / 55.03 ± 3.49	56.83 ± 1.02 / 63.13 ± 0.89	65.09 ± 0.37 / 19.37 ± 0.37	26.57 ± 1.18 / 44.19 ± 0.95	24.62 ± 2.11 / 42.11 ± 1.50	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
mistralai/Mistral-7B-v0.3 (few-shot)	7248	33	32768	True	1,364 ± 343 / 266 ± 90	2.66	2.43	2.99	2.57	43.60 ± 2.94 / 32.17 ± 2.26	45.92 ± 1.50 / 61.91 ± 1.50	15.43 ± 3.79 / 46.20 ± 5.54	59.13 ± 0.86 / 64.43 ± 0.58	66.33 ± 0.98 / 22.03 ± 0.96	53.81 ± 1.88 / 64.81 ± 1.53	61.06 ± 2.83 / 73.89 ± 2.00	20.64 ± 1.95 / 39.21 ± 1.79	50.56 ± 2.04 / 44.38 ± 1.85	52.65 ± 2.27 / 46.48 ± 3.65	44.61 ± 2.28 / 62.22 ± 2.10	63.13 ± 1.63 / 16.19 ± 1.73	12.10 ± 4.22 / 43.27 ± 5.24	9.30 ± 0.99 / 46.11 ± 3.47	45.15 ± 3.72 / 68.61 ± 3.30	28.31 ± 1.01 / 45.93 ± 0.80	13.59 ± 2.44 / 33.95 ± 1.83	49.18 ± 2.71 / 39.25 ± 3.60	79.08 ± 0.77 / 78.81 ± 0.94	11.06 ± 3.55 / 38.96 ± 3.77	58.98 ± 1.04 / 64.79 ± 0.79	64.79 ± 0.32 / 19.30 ± 0.42	34.51 ± 1.13 / 50.46 ± 0.88	20.84 ± 2.19 / 39.88 ± 1.85	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4
Mabeck/Heidrun-Mistral-7B-base (few-shot)	7242	32	32768	True	3,823 ± 967 / 860 ± 280	2.67	2.43	3.01	2.58	40.14 ± 2.41 / 28.08 ± 1.67	39.38 ± 1.56 / 49.16 ± 2.84	21.85 ± 3.24 / 53.75 ± 4.63	58.07 ± 1.13 / 63.63 ± 0.69	67.06 ± 1.05 / 23.60 ± 0.84	60.78 ± 1.64 / 69.96 ± 1.28	61.29 ± 2.78 / 73.50 ± 1.95	16.26 ± 1.96 / 35.70 ± 1.73	50.10 ± 2.16 / 41.80 ± 2.77	54.81 ± 1.88 / 45.95 ± 3.21	48.64 ± 2.14 / 66.06 ± 1.47	62.29 ± 1.37 / 14.65 ± 1.36	10.31 ± 3.46 / 43.68 ± 5.10	1.11 ± 2.48 / 36.52 ± 2.31	42.20 ± 3.02 / 65.18 ± 2.86	27.39 ± 0.85 / 45.60 ± 0.64	11.76 ± 2.46 / 32.87 ± 2.13	48.43 ± 2.75 / 35.31 ± 2.80	79.43 ± 0.85 / 78.21 ± 1.69	17.37 ± 2.57 / 52.91 ± 4.93	57.05 ± 1.22 / 62.72 ± 0.89	63.81 ± 0.34 / 18.13 ± 0.31	31.72 ± 0.55 / 48.70 ± 0.45	15.69 ± 2.43 / 35.96 ± 2.03	11.0.0	11.0.0	11.0.0	11.0.0	12.6.1	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	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	2.67	2.45	2.99	2.57	43.65 ± 2.87 / 32.21 ± 2.13	45.86 ± 1.63 / 61.89 ± 1.57	15.19 ± 3.67 / 46.19 ± 5.60	59.14 ± 0.90 / 64.43 ± 0.58	66.30 ± 1.02 / 21.99 ± 1.01	53.67 ± 1.74 / 64.67 ± 1.45	54.52 ± 2.51 / 68.59 ± 1.76	20.51 ± 2.03 / 39.10 ± 1.86	50.63 ± 2.12 / 44.59 ± 1.80	52.69 ± 2.30 / 46.51 ± 3.63	44.05 ± 2.51 / 61.80 ± 2.28	63.11 ± 1.66 / 16.14 ± 1.73	11.60 ± 4.10 / 43.01 ± 5.07	9.26 ± 1.14 / 46.28 ± 3.60	45.23 ± 3.73 / 68.68 ± 3.29	28.19 ± 0.84 / 45.83 ± 0.68	13.65 ± 2.51 / 34.00 ± 1.87	48.96 ± 2.72 / 39.25 ± 3.69	78.90 ± 0.95 / 78.62 ± 1.08	10.82 ± 3.46 / 38.95 ± 3.80	58.91 ± 1.02 / 64.72 ± 0.76	64.78 ± 0.33 / 19.24 ± 0.42	34.52 ± 1.19 / 50.47 ± 0.93	20.96 ± 1.96 / 39.95 ± 1.66	12.5.2	12.5.1	12.5.1	12.5.1	12.6.1	12.5.1	12.5.1	12.5.1	12.5.2	12.5.2	12.5.1	12.5.1	12.5.1	12.5.1	12.5.1	12.5.1	12.5.1	12.5.2	12.5.1	12.5.1	12.5.1	12.5.1	12.5.1	12.5.1
bineric/NorskGPT-Llama-13B-v0.1 (few-shot)	unknown	32	4096	False	2,856 ± 645 / 709 ± 243	2.67	2.53	2.82	2.67	44.17 ± 3.14 / 31.63 ± 3.03	44.28 ± 1.94 / 55.59 ± 3.06	3.11 ± 1.88 / 34.35 ± 0.74	55.59 ± 0.65 / 63.25 ± 0.37	66.63 ± 0.92 / 21.44 ± 0.80	59.51 ± 1.28 / 69.11 ± 1.02	50.89 ± 1.72 / 67.29 ± 1.12	25.32 ± 1.41 / 43.22 ± 1.13	56.72 ± 1.90 / 43.75 ± 2.72	57.62 ± 1.35 / 43.81 ± 2.43	48.86 ± 2.54 / 64.32 ± 2.46	64.86 ± 0.32 / 16.84 ± 0.69	9.87 ± 1.78 / 44.29 ± 3.62	6.90 ± 1.65 / 48.96 ± 3.09	41.27 ± 3.42 / 69.36 ± 3.54	24.51 ± 1.23 / 42.96 ± 0.98	31.41 ± 1.81 / 47.68 ± 1.36	49.26 ± 2.31 / 36.92 ± 4.05	79.05 ± 0.80 / 77.87 ± 2.06	0.22 ± 0.43 / 33.38 ± 0.26	56.78 ± 1.02 / 63.61 ± 0.61	65.99 ± 0.07 / 19.57 ± 0.17	25.56 ± 0.86 / 43.67 ± 0.64	28.26 ± 1.97 / 45.89 ± 1.42	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4
mhenrichsen/hestenettetLM (few-shot)	7242	32	32768	True	1,151 ± 294 / 227 ± 76	2.67	2.53	2.91	2.56	44.90 ± 3.15 / 31.91 ± 2.65	42.61 ± 1.79 / 53.47 ± 3.00	8.65 ± 3.44 / 38.18 ± 4.21	59.62 ± 1.12 / 64.70 ± 0.75	66.48 ± 0.99 / 22.13 ± 1.09	52.83 ± 1.98 / 64.27 ± 1.66	57.96 ± 2.76 / 71.31 ± 1.89	18.11 ± 3.15 / 37.65 ± 2.44	52.52 ± 1.85 / 43.46 ± 2.21	55.60 ± 3.22 / 45.25 ± 4.20	48.23 ± 3.31 / 65.51 ± 3.01	63.53 ± 1.47 / 16.54 ± 1.59	8.53 ± 3.72 / 38.61 ± 3.22	6.65 ± 1.40 / 39.32 ± 2.51	46.89 ± 3.29 / 70.96 ± 2.84	27.67 ± 0.91 / 45.77 ± 0.66	14.20 ± 3.45 / 34.89 ± 2.57	53.00 ± 2.53 / 39.09 ± 3.72	79.70 ± 0.65 / 79.45 ± 0.68	4.32 ± 2.19 / 34.43 ± 0.87	59.03 ± 1.03 / 64.74 ± 0.84	64.89 ± 0.28 / 19.31 ± 0.40	35.48 ± 0.99 / 51.54 ± 0.72	20.54 ± 2.14 / 39.66 ± 1.80	12.5.2	12.3.2	12.3.2	12.3.2	12.6.1	12.3.2	12.3.2	12.3.2	12.5.2	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2
meta-llama/Llama-2-13b-chat-hf (few-shot)	13016	32	4096	True	2,849 ± 622 / 723 ± 229	2.68	2.49	2.96	2.60	44.00 ± 2.63 / 29.00 ± 2.26	45.41 ± 1.79 / 62.27 ± 2.34	16.17 ± 2.17 / 56.93 ± 1.29	57.06 ± 0.83 / 63.94 ± 0.49	66.88 ± 0.98 / 21.84 ± 1.04	45.21 ± 1.90 / 57.54 ± 1.55	51.06 ± 2.13 / 67.44 ± 1.41	16.50 ± 1.48 / 36.77 ± 1.21	57.21 ± 1.51 / 40.40 ± 2.79	59.62 ± 1.34 / 41.07 ± 2.58	38.93 ± 3.56 / 57.45 ± 3.77	65.12 ± 0.35 / 17.27 ± 0.70	8.65 ± 3.33 / 47.18 ± 3.98	5.92 ± 1.58 / 47.50 ± 3.58	42.32 ± 2.80 / 69.24 ± 2.68	23.88 ± 1.01 / 42.37 ± 0.80	22.33 ± 1.67 / 41.00 ± 1.40	49.90 ± 2.28 / 35.48 ± 3.44	77.19 ± 2.05 / 79.13 ± 1.43	14.67 ± 2.27 / 53.90 ± 2.24	57.12 ± 0.70 / 63.72 ± 0.73	66.25 ± 0.10 / 19.64 ± 0.19	24.40 ± 1.20 / 42.73 ± 0.90	19.30 ± 1.27 / 38.75 ± 1.05	12.10.5	12.10.4	12.10.4	12.11.0	12.11.0	12.10.4	12.10.4	12.10.4	12.10.5	12.10.5	12.10.4	12.11.0	12.10.4	12.10.4	12.11.0	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4	12.11.0	12.11.0	12.10.4	12.10.4
mistralai/Mistral-7B-v0.1 (few-shot)	7242	32	32768	True	1,446 ± 354 / 295 ± 100	2.68	2.53	2.95	2.56	45.42 ± 2.88 / 32.66 ± 2.49	43.16 ± 1.69 / 54.53 ± 2.83	8.79 ± 3.23 / 38.38 ± 4.22	59.43 ± 1.04 / 64.55 ± 0.68	66.47 ± 1.00 / 22.11 ± 1.08	53.26 ± 1.94 / 64.50 ± 1.68	58.26 ± 2.62 / 71.56 ± 1.79	18.53 ± 2.03 / 37.79 ± 1.68	52.00 ± 1.91 / 43.55 ± 2.21	55.12 ± 3.14 / 45.34 ± 4.15	47.25 ± 4.11 / 64.53 ± 3.71	63.49 ± 1.49 / 16.48 ± 1.62	8.66 ± 4.12 / 38.87 ± 3.40	6.80 ± 1.59 / 39.72 ± 2.50	46.86 ± 3.27 / 70.86 ± 2.79	27.78 ± 1.08 / 45.76 ± 0.79	10.88 ± 3.63 / 32.43 ± 2.67	53.34 ± 2.55 / 40.48 ± 3.66	80.00 ± 0.70 / 79.80 ± 0.66	4.61 ± 2.18 / 34.51 ± 0.86	58.99 ± 1.05 / 64.65 ± 0.83	64.87 ± 0.31 / 19.30 ± 0.43	35.52 ± 1.01 / 51.52 ± 0.73	19.67 ± 2.31 / 38.98 ± 1.98	0.0.0	0.0.0	0.0.0	12.5.1	12.6.1	10.0.1	10.0.1	9.1.2	0.0.0	0.0.0	0.0.0	11.0.0	0.0.0	0.0.0	12.5.1	9.1.2	9.1.2	0.0.0	0.0.0	0.0.0	12.5.1	11.0.0	9.1.2	9.1.2
CohereForAI/aya-23-8B (few-shot)	8028	256	8192	False	2,707 ± 688 / 497 ± 166	2.71	2.53	3.01	2.59	47.08 ± 3.39 / 32.34 ± 2.97	47.16 ± 1.21 / 63.47 ± 1.57	8.41 ± 2.40 / 37.31 ± 1.66	58.83 ± 0.73 / 63.96 ± 0.56	65.03 ± 0.98 / 20.21 ± 0.77	36.64 ± 1.30 / 49.92 ± 1.19	39.24 ± 1.63 / 59.45 ± 1.09	27.29 ± 1.22 / 45.01 ± 0.99	60.94 ± 2.30 / 53.33 ± 3.53	59.61 ± 1.37 / 50.84 ± 3.99	35.73 ± 1.26 / 50.42 ± 1.67	62.45 ± 1.72 / 15.67 ± 1.26	6.18 ± 1.69 / 35.40 ± 1.06	4.00 ± 1.01 / 36.17 ± 0.94	46.52 ± 2.15 / 71.95 ± 1.63	20.14 ± 1.32 / 38.69 ± 0.99	27.50 ± 1.61 / 44.60 ± 1.39	60.04 ± 1.22 / 43.93 ± 3.63	76.21 ± 0.85 / 67.87 ± 1.71	7.54 ± 2.52 / 35.42 ± 1.33	58.60 ± 0.59 / 63.65 ± 0.30	63.00 ± 0.55 / 18.11 ± 0.35	20.97 ± 0.82 / 39.72 ± 0.64	28.96 ± 2.18 / 46.32 ± 1.64	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
danish-foundation-models/munin-7b-alpha (few-shot)	7242	32	32768	True	6,116 ± 1,049 / 1,784 ± 577	2.71	2.34	3.13	2.66	40.60 ± 2.25 / 28.71 ± 1.42	36.89 ± 2.27 / 43.77 ± 2.64	26.41 ± 5.40 / 53.03 ± 6.56	57.81 ± 1.11 / 63.44 ± 0.81	67.27 ± 1.15 / 23.82 ± 0.97	77.63 ± 1.33 / 83.01 ± 1.00	67.83 ± 1.25 / 77.91 ± 0.89	25.16 ± 2.44 / 42.68 ± 2.10	48.89 ± 3.42 / 35.46 ± 2.58	51.95 ± 1.59 / 36.45 ± 2.57	20.54 ± 6.01 / 36.30 ± 6.77	63.67 ± 1.16 / 15.98 ± 1.26	4.39 ± 3.94 / 35.23 ± 2.81	1.20 ± 1.64 / 34.54 ± 1.31	47.16 ± 4.15 / 70.08 ± 3.96	29.07 ± 1.15 / 46.18 ± 0.96	19.15 ± 4.16 / 38.37 ± 3.10	42.23 ± 2.44 / 30.30 ± 4.71	78.80 ± 0.93 / 75.28 ± 1.78	15.47 ± 1.79 / 54.26 ± 3.41	56.75 ± 1.15 / 62.43 ± 0.95	62.78 ± 0.76 / 16.74 ± 0.45	30.86 ± 1.12 / 47.83 ± 0.93	19.11 ± 2.74 / 38.55 ± 2.29	12.5.2	12.4.0	12.4.0	12.4.0	12.6.1	12.4.0	12.4.0	12.4.0	12.5.2	12.5.2	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.5.2	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0	12.4.0
RuterNorway/Llama-2-13b-chat-norwegian (few-shot)	unknown	32	4096	False	3,254 ± 1,068 / 484 ± 173	2.74	2.54	2.98	2.71	43.17 ± 2.78 / 31.37 ± 2.95	43.40 ± 2.20 / 57.24 ± 3.52	11.08 ± 2.98 / 43.40 ± 4.66	56.81 ± 0.70 / 63.10 ± 0.35	67.46 ± 0.28 / 22.85 ± 0.60	52.94 ± 1.40 / 64.04 ± 1.18	41.65 ± 1.43 / 59.92 ± 0.88	17.57 ± 1.83 / 37.68 ± 1.55	58.61 ± 1.58 / 47.74 ± 2.83	60.40 ± 1.25 / 47.53 ± 2.68	41.36 ± 3.50 / 58.47 ± 3.79	65.33 ± 0.44 / 18.70 ± 0.55	6.52 ± 2.11 / 38.10 ± 2.56	3.95 ± 2.52 / 42.37 ± 4.20	38.93 ± 2.43 / 65.76 ± 3.07	23.32 ± 0.89 / 42.01 ± 0.76	22.30 ± 1.43 / 41.29 ± 1.19	50.85 ± 2.44 / 39.65 ± 3.83	74.17 ± 2.12 / 76.62 ± 1.83	7.51 ± 1.94 / 37.81 ± 1.76	57.32 ± 0.63 / 63.28 ± 0.71	65.20 ± 0.45 / 19.06 ± 0.15	23.92 ± 0.88 / 42.25 ± 0.73	17.67 ± 1.53 / 37.32 ± 1.20	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	11.0.0	11.0.0	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1
mistralai/Mistral-7B-Instruct-v0.2 (few-shot)	7242	32	32768	False	2,370 ± 416 / 711 ± 242	2.74	2.50	3.03	2.70	44.89 ± 2.46 / 29.13 ± 1.92	48.09 ± 1.00 / 65.40 ± 0.75	19.06 ± 2.34 / 58.77 ± 1.37	51.56 ± 1.16 / 60.81 ± 0.74	66.84 ± 0.77 / 21.21 ± 1.08	51.60 ± 1.33 / 63.50 ± 1.03	35.85 ± 2.68 / 52.62 ± 2.08	22.21 ± 1.60 / 40.78 ± 1.32	53.42 ± 2.48 / 42.63 ± 1.66	54.34 ± 1.93 / 41.06 ± 2.40	38.79 ± 2.56 / 53.72 ± 3.01	64.43 ± 0.45 / 16.11 ± 0.97	17.06 ± 1.53 / 56.51 ± 2.06	11.00 ± 1.00 / 53.26 ± 2.32	35.74 ± 2.44 / 64.27 ± 2.42	20.37 ± 1.34 / 39.32 ± 1.03	21.16 ± 2.07 / 39.85 ± 1.73	47.92 ± 2.66 / 33.00 ± 3.24	62.90 ± 2.44 / 70.61 ± 1.19	19.95 ± 2.24 / 56.49 ± 2.10	52.51 ± 0.36 / 61.42 ± 0.52	66.11 ± 0.18 / 19.64 ± 0.28	25.60 ± 1.10 / 43.53 ± 0.90	21.75 ± 1.61 / 40.57 ± 1.45	9.2.0	9.2.0	9.3.1	12.4.0	12.6.1	10.0.1	10.0.1	9.3.2	9.2.0	9.2.0	9.2.0	12.4.0	9.3.1	9.3.1	12.4.0	9.3.2	9.3.2	9.2.0	9.2.0	9.3.1	12.4.0	12.4.0	9.3.2	9.3.2
meta-llama/Llama-2-13b-hf (few-shot)	13016	32	4096	True	2,898 ± 637 / 736 ± 236	2.76	2.68	3.06	2.55	41.28 ± 3.92 / 31.98 ± 3.26	23.01 ± 3.87 / 36.55 ± 6.42	23.50 ± 2.75 / 58.11 ± 3.45	60.29 ± 0.81 / 65.52 ± 0.58	66.28 ± 1.20 / 21.69 ± 1.21	50.30 ± 2.37 / 61.85 ± 1.93	56.24 ± 2.29 / 70.27 ± 1.64	15.43 ± 0.95 / 35.31 ± 0.71	51.12 ± 3.13 / 47.26 ± 2.62	55.35 ± 1.60 / 49.99 ± 2.21	23.75 ± 3.25 / 42.92 ± 4.45	64.56 ± 1.30 / 18.13 ± 1.51	14.00 ± 4.25 / 42.71 ± 5.83	7.61 ± 2.57 / 45.86 ± 3.96	49.24 ± 4.28 / 72.68 ± 3.66	23.60 ± 1.05 / 42.20 ± 0.80	16.55 ± 2.83 / 35.97 ± 1.94	54.52 ± 3.33 / 44.11 ± 5.29	78.45 ± 1.21 / 79.73 ± 0.97	21.55 ± 3.74 / 49.54 ± 4.41	59.71 ± 0.68 / 65.01 ± 0.64	64.59 ± 0.34 / 18.56 ± 0.39	25.51 ± 0.81 / 43.68 ± 0.60	14.97 ± 1.73 / 34.85 ± 1.34	12.10.5	12.10.4	12.10.4	12.10.5	12.10.5	12.10.4	12.10.4	12.10.4	12.10.5	12.10.5	12.10.4	12.10.5	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4	12.10.5	12.10.5	12.10.4	12.10.4
google/gemma-2-2b-it (few-shot)	2614	256	8193	True	5,374 ± 1,233 / 1,193 ± 377	2.77	2.59	3.02	2.71	28.22 ± 1.66 / 19.95 ± 1.55	47.11 ± 1.36 / 63.36 ± 1.39	19.99 ± 1.86 / 58.86 ± 1.11	48.00 ± 0.98 / 58.49 ± 0.49	66.73 ± 1.01 / 21.91 ± 1.06	52.85 ± 1.36 / 63.72 ± 1.12	52.74 ± 1.77 / 68.55 ± 1.20	29.94 ± 1.28 / 47.03 ± 1.01	35.56 ± 1.33 / 28.84 ± 2.19	37.70 ± 3.04 / 30.22 ± 2.39	46.84 ± 2.20 / 63.22 ± 1.89	64.58 ± 0.33 / 17.00 ± 0.45	17.15 ± 2.01 / 55.59 ± 2.04	14.38 ± 1.96 / 54.95 ± 1.73	29.75 ± 1.52 / 63.79 ± 1.50	23.02 ± 1.05 / 41.85 ± 0.86	33.13 ± 1.06 / 49.47 ± 0.83	35.61 ± 2.19 / 26.05 ± 2.45	75.84 ± 1.41 / 77.22 ± 1.09	15.62 ± 1.67 / 51.30 ± 3.09	47.76 ± 0.92 / 58.65 ± 0.83	65.16 ± 0.13 / 18.88 ± 0.13	27.00 ± 0.89 / 44.95 ± 0.72	31.43 ± 1.21 / 47.99 ± 0.85	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
bineric/NorskGPT-Llama-7B-v0.1 (few-shot)	6738	32	4096	False	5,384 ± 879 / 1,746 ± 553	2.80	2.69	2.87	2.85	41.63 ± 2.33 / 28.51 ± 2.43	47.73 ± 1.52 / 60.64 ± 2.33	0.00 ± 0.00 / 33.41 ± 0.23	54.25 ± 0.85 / 61.70 ± 0.71	66.02 ± 0.52 / 19.78 ± 0.57	47.16 ± 1.82 / 59.60 ± 1.51	38.28 ± 1.21 / 58.13 ± 0.76	22.27 ± 1.19 / 41.07 ± 1.07	56.18 ± 3.05 / 49.39 ± 2.78	56.96 ± 1.64 / 48.30 ± 5.46	50.94 ± 1.41 / 66.55 ± 1.06	64.21 ± 0.23 / 15.54 ± 0.49	8.19 ± 1.95 / 45.17 ± 3.69	5.55 ± 1.71 / 48.92 ± 2.94	41.35 ± 2.33 / 69.72 ± 2.52	21.27 ± 1.03 / 40.69 ± 0.82	26.81 ± 1.72 / 44.27 ± 1.46	53.95 ± 1.89 / 42.16 ± 4.59	60.91 ± 2.35 / 59.47 ± 1.21	0.32 ± 0.62 / 33.39 ± 0.28	55.28 ± 0.62 / 63.41 ± 0.55	63.73 ± 0.18 / 15.64 ± 0.27	20.96 ± 0.77 / 40.70 ± 0.59	25.76 ± 1.39 / 43.71 ± 1.09	12.5.2	12.3.2	12.3.2	12.3.2	12.6.1	12.3.2	12.3.2	12.3.2	12.5.2	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	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-instruct (few-shot)	7242	32	32768	False	2,088 ± 352 / 706 ± 214	2.82	2.69	3.04	2.74	40.19 ± 2.55 / 29.73 ± 1.44	42.31 ± 1.55 / 59.29 ± 2.00	1.14 ± 1.22 / 33.83 ± 0.72	57.89 ± 1.16 / 63.95 ± 0.82	66.68 ± 0.81 / 22.38 ± 0.71	44.30 ± 2.46 / 57.00 ± 2.30	48.76 ± 2.39 / 65.51 ± 1.72	15.44 ± 1.66 / 35.82 ± 1.14	45.50 ± 2.71 / 40.02 ± 3.16	45.96 ± 2.67 / 41.28 ± 2.25	44.46 ± 3.40 / 62.00 ± 2.71	63.95 ± 0.42 / 16.91 ± 0.61	0.00 ± 0.00 / 33.41 ± 0.30	0.00 ± 0.00 / 33.86 ± 0.33	52.19 ± 2.88 / 74.97 ± 2.11	20.61 ± 1.27 / 39.79 ± 1.10	16.18 ± 1.88 / 36.19 ± 1.66	47.67 ± 2.81 / 36.91 ± 3.50	71.73 ± 2.40 / 74.97 ± 1.84	7.90 ± 3.20 / 41.24 ± 4.78	57.78 ± 0.79 / 64.48 ± 0.73	65.07 ± 0.34 / 19.59 ± 0.38	25.52 ± 1.30 / 43.68 ± 1.03	14.06 ± 1.68 / 35.12 ± 1.47	12.5.2	12.2.0	12.3.1	12.4.0	12.6.1	12.3.1	12.3.1	12.3.1	12.5.2	12.5.2	12.2.0	12.4.0	12.3.1	12.3.1	12.4.0	12.3.1	12.3.1	12.5.2	12.2.0	12.3.1	12.4.0	12.4.0	12.3.1	12.3.1
meta-llama/Llama-3.2-3B-Instruct (few-shot)	3213	128	131073	False	10,424 ± 2,641 / 2,081 ± 666	2.84	2.65	3.19	2.68	41.12 ± 3.39 / 32.50 ± 2.74	42.77 ± 2.76 / 54.70 ± 4.19	11.52 ± 3.01 / 49.37 ± 4.12	51.14 ± 1.03 / 60.18 ± 0.55	65.19 ± 0.78 / 18.34 ± 1.22	49.78 ± 1.52 / 62.29 ± 1.14	45.88 ± 2.43 / 63.96 ± 1.59	21.89 ± 1.77 / 41.16 ± 1.43	49.66 ± 1.79 / 39.31 ± 2.55	51.98 ± 1.55 / 42.48 ± 3.10	44.13 ± 2.80 / 60.09 ± 3.10	60.50 ± 0.73 / 10.91 ± 0.62	0.67 ± 1.18 / 33.81 ± 0.33	1.11 ± 0.93 / 33.03 ± 0.39	28.62 ± 4.16 / 56.91 ± 4.14	26.82 ± 1.08 / 45.32 ± 0.84	20.98 ± 1.40 / 40.34 ± 1.17	43.74 ± 2.58 / 34.37 ± 2.59	76.98 ± 1.31 / 71.38 ± 3.20	16.01 ± 2.24 / 51.83 ± 3.50	48.38 ± 1.78 / 57.83 ± 0.99	64.98 ± 0.47 / 17.53 ± 0.50	29.44 ± 0.61 / 47.21 ± 0.47	22.42 ± 1.89 / 41.45 ± 1.49	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
NbAiLab/nb-llama-3.1-70B (few-shot)	70554	128	131072	True	1,220 ± 411 / 158 ± 53	2.85	2.82	2.91	2.82	50.83 ± 1.31 / 41.56 ± 1.86	53.23 ± 2.63 / 64.70 ± 3.82	23.02 ± 6.31 / 53.19 ± 7.11	0.00 ± 0.00 / 11.36 ± 0.99	57.74 ± 0.48 / 9.03 ± 0.19	77.42 ± 1.22 / 82.92 ± 0.92	82.47 ± 2.08 / 88.34 ± 1.37	30.39 ± 4.04 / 46.68 ± 3.11	65.75 ± 2.00 / 59.69 ± 2.98	70.12 ± 2.22 / 63.49 ± 3.83	41.90 ± 3.43 / 49.94 ± 4.59	53.29 ± 1.55 / 7.06 ± 0.65	47.88 ± 8.48 / 69.91 ± 7.73	35.66 ± 6.93 / 62.56 ± 6.50	0.03 ± 0.04 / 19.59 ± 1.89	46.91 ± 2.14 / 60.01 ± 1.60	33.14 ± 1.88 / 48.61 ± 1.53	69.54 ± 1.72 / 57.56 ± 4.03	79.55 ± 1.16 / 76.00 ± 2.17	28.27 ± 6.55 / 54.36 ± 6.56	0.02 ± 0.02 / 11.05 ± 1.02	55.51 ± 0.84 / 12.37 ± 0.38	48.02 ± 2.43 / 60.79 ± 1.86	24.46 ± 3.54 / 41.61 ± 2.91	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
mistralai/Mistral-7B-Instruct-v0.1 (few-shot)	7242	32	32768	False	634 ± 179 / 110 ± 35	2.87	2.69	3.10	2.82	37.93 ± 2.71 / 23.54 ± 1.99	44.49 ± 2.56 / 60.64 ± 3.00	14.09 ± 2.94 / 42.43 ± 3.30	51.38 ± 2.31 / 58.78 ± 1.27	65.80 ± 0.93 / 19.91 ± 1.41	45.07 ± 1.34 / 58.18 ± 1.03	35.36 ± 2.19 / 55.82 ± 1.48	14.85 ± 1.19 / 35.26 ± 1.24	50.08 ± 1.54 / 34.52 ± 1.17	51.27 ± 1.52 / 33.37 ± 2.37	43.65 ± 1.98 / 60.88 ± 1.36	62.39 ± 0.76 / 14.24 ± 0.81	14.09 ± 2.85 / 44.91 ± 3.95	8.28 ± 1.82 / 47.22 ± 3.72	37.23 ± 3.15 / 63.67 ± 2.98	20.44 ± 1.03 / 39.51 ± 0.72	15.87 ± 1.29 / 35.89 ± 1.06	45.01 ± 2.11 / 27.59 ± 3.35	73.33 ± 1.98 / 76.19 ± 1.59	11.59 ± 3.45 / 40.89 ± 4.15	52.12 ± 1.42 / 59.29 ± 1.17	63.10 ± 0.60 / 18.05 ± 0.36	24.03 ± 1.09 / 42.32 ± 0.70	15.37 ± 0.71 / 35.78 ± 0.69	9.3.1	9.3.1	9.3.1	12.4.0	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	12.4.0	9.3.1	9.3.1	12.4.0	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.4.0	12.4.0	9.3.1	9.3.1
neph1/bellman-7b-mistral-instruct-v0.2 (few-shot)	7242	32	32768	False	2,518 ± 463 / 779 ± 243	2.88	2.61	3.20	2.84	46.11 ± 3.27 / 28.75 ± 2.13	47.58 ± 1.41 / 63.81 ± 1.28	18.41 ± 2.11 / 57.44 ± 2.11	52.78 ± 1.15 / 60.80 ± 0.59	65.65 ± 0.82 / 18.78 ± 0.80	41.77 ± 1.71 / 55.65 ± 1.27	35.86 ± 2.28 / 52.48 ± 1.70	11.59 ± 1.75 / 32.81 ± 1.55	57.01 ± 1.93 / 44.65 ± 2.87	56.77 ± 0.98 / 41.67 ± 3.53	38.81 ± 2.67 / 56.39 ± 3.13	62.13 ± 0.30 / 12.18 ± 0.45	14.16 ± 2.24 / 54.43 ± 2.61	9.29 ± 2.65 / 50.59 ± 3.99	32.75 ± 1.68 / 59.21 ± 2.11	17.08 ± 1.29 / 37.00 ± 1.04	10.52 ± 2.25 / 31.85 ± 1.79	54.38 ± 2.92 / 39.66 ± 5.20	55.84 ± 2.51 / 66.96 ± 1.37	16.05 ± 2.15 / 54.22 ± 2.86	53.22 ± 0.88 / 61.85 ± 0.63	64.90 ± 0.14 / 16.99 ± 0.20	22.36 ± 1.17 / 41.14 ± 0.78	12.52 ± 1.41 / 33.90 ± 1.11	9.2.0	9.2.0	9.2.0	12.4.0	12.6.1	10.0.1	10.0.1	9.2.0	9.2.0	9.2.0	9.2.0	12.4.0	9.2.0	9.2.0	12.4.0	9.2.0	9.2.0	9.2.0	9.2.0	9.2.0	12.4.0	12.4.0	9.2.0	9.2.0
occiglot/occiglot-7b-eu5 (few-shot)	7242	32	32768	True	2,219 ± 427 / 717 ± 224	2.88	2.75	3.12	2.76	37.93 ± 3.09 / 29.50 ± 2.18	44.62 ± 1.98 / 62.62 ± 1.54	0.28 ± 0.54 / 33.48 ± 0.24	58.05 ± 1.02 / 62.89 ± 0.89	66.05 ± 1.13 / 21.82 ± 0.96	38.54 ± 1.47 / 53.57 ± 1.26	45.89 ± 3.00 / 63.14 ± 1.98	12.38 ± 1.99 / 33.54 ± 1.61	45.28 ± 3.06 / 41.73 ± 2.14	46.00 ± 4.26 / 42.96 ± 3.38	44.95 ± 3.19 / 61.88 ± 2.88	63.26 ± 1.07 / 16.04 ± 1.34	0.00 ± 0.00 / 33.41 ± 0.30	0.00 ± 0.00 / 33.86 ± 0.33	43.88 ± 4.07 / 66.65 ± 4.20	20.87 ± 1.54 / 39.98 ± 1.27	13.10 ± 2.04 / 34.20 ± 1.55	49.02 ± 3.23 / 41.69 ± 3.74	76.56 ± 1.52 / 78.16 ± 1.12	2.18 ± 2.34 / 36.26 ± 3.89	58.98 ± 0.95 / 63.65 ± 0.89	64.42 ± 0.45 / 18.79 ± 0.47	23.68 ± 1.41 / 42.15 ± 1.14	14.05 ± 1.60 / 34.81 ± 1.58	12.5.2	12.1.0	12.1.0	12.1.0	12.6.1	12.1.0	12.1.0	12.2.0	12.5.2	12.5.2	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.2.0	12.5.2	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.2.0
meta-llama/Llama-3.2-3B (few-shot)	3213	128	131073	True	3,713 ± 877 / 836 ± 267	2.90	2.79	3.17	2.73	41.13 ± 2.85 / 27.15 ± 1.82	38.90 ± 1.93 / 44.34 ± 1.64	9.60 ± 2.51 / 44.34 ± 5.20	56.85 ± 1.27 / 62.25 ± 0.88	63.35 ± 0.50 / 15.11 ± 0.93	45.46 ± 1.79 / 57.79 ± 1.31	46.77 ± 2.98 / 64.61 ± 1.98	12.19 ± 0.97 / 33.27 ± 0.89	49.57 ± 2.20 / 37.13 ± 2.52	52.13 ± 3.94 / 38.26 ± 3.77	39.96 ± 2.25 / 58.34 ± 1.66	58.99 ± 1.85 / 11.04 ± 1.25	3.20 ± 3.84 / 37.62 ± 4.94	3.72 ± 3.66 / 38.51 ± 4.61	45.54 ± 3.50 / 68.67 ± 2.58	21.88 ± 1.21 / 40.31 ± 1.01	14.24 ± 1.99 / 33.82 ± 1.72	51.06 ± 2.85 / 31.63 ± 3.67	77.76 ± 1.09 / 67.88 ± 3.15	5.88 ± 3.89 / 38.51 ± 4.84	57.43 ± 1.04 / 62.93 ± 0.94	62.73 ± 0.74 / 17.61 ± 0.49	27.05 ± 1.14 / 44.68 ± 0.87	13.30 ± 1.20 / 33.89 ± 1.04	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
nvidia/mistral-nemo-minitron-8b-instruct (few-shot)	8414	131	8192	True	3,161 ± 676 / 1,247 ± 481	2.90	2.83	3.06	2.80	49.01 ± 1.94 / 29.13 ± 2.09	47.95 ± 1.37 / 64.82 ± 0.89	32.89 ± 1.40 / 66.18 ± 0.64	0.00 ± 0.00 / 17.81 ± 0.42	62.70 ± 0.09 / 10.45 ± 0.15	51.21 ± 1.33 / 63.45 ± 0.98	62.30 ± 2.00 / 74.94 ± 1.32	33.79 ± 2.86 / 49.01 ± 2.17	63.70 ± 0.98 / 39.82 ± 2.02	62.53 ± 1.64 / 40.20 ± 2.22	34.35 ± 0.92 / 37.57 ± 0.55	61.42 ± 0.09 / 8.33 ± 0.10	31.53 ± 1.91 / 64.14 ± 1.52	22.71 ± 2.23 / 57.77 ± 2.48	0.06 ± 0.04 / 26.09 ± 1.72	35.46 ± 0.97 / 51.44 ± 0.76	36.47 ± 1.79 / 51.20 ± 1.47	48.51 ± 1.91 / 24.61 ± 1.44	78.68 ± 0.89 / 78.07 ± 0.97	29.18 ± 2.29 / 63.69 ± 1.55	0.00 ± 0.00 / 16.78 ± 0.35	65.35 ± 0.08 / 15.76 ± 0.11	40.16 ± 1.01 / 55.00 ± 0.75	39.81 ± 2.46 / 53.79 ± 2.03	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1	14.1.1
neuralmagic/Sparse-Llama-3.1-8B-2of4 (few-shot)	8030	128	131072	True	2,996 ± 817 / 284 ± 96	2.91	2.77	3.21	2.76	27.60 ± 3.21 / 25.68 ± 2.70	37.08 ± 2.51 / 54.37 ± 2.72	10.84 ± 2.11 / 49.05 ± 4.51	58.67 ± 0.97 / 63.61 ± 0.83	63.45 ± 1.07 / 17.77 ± 1.01	38.31 ± 1.15 / 53.54 ± 0.91	46.65 ± 1.64 / 63.48 ± 1.21	28.92 ± 3.15 / 44.79 ± 3.01	35.54 ± 2.35 / 35.62 ± 2.50	36.61 ± 1.95 / 37.38 ± 1.88	32.18 ± 6.27 / 50.19 ± 5.62	60.89 ± 1.28 / 14.01 ± 1.12	0.00 ± 0.00 / 33.25 ± 0.30	0.00 ± 0.00 / 32.79 ± 0.34	43.47 ± 3.30 / 68.45 ± 2.93	24.47 ± 1.07 / 42.42 ± 0.90	33.51 ± 2.81 / 48.18 ± 2.72	33.21 ± 2.39 / 32.18 ± 2.40	76.57 ± 0.92 / 76.28 ± 1.76	10.51 ± 3.79 / 49.04 ± 4.63	58.15 ± 1.06 / 63.06 ± 0.85	63.82 ± 0.35 / 18.33 ± 0.43	26.73 ± 0.72 / 44.29 ± 0.56	21.33 ± 4.54 / 37.89 ± 3.66	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0
claude-3-5-haiku-20241022 (zero-shot, val)	unknown	unknown	200000	True	277 ± 77 / 70 ± 25	2.94	2.40	3.40	3.03	59.48 ± 1.97 / 42.21 ± 2.53	56.46 ± 2.39 / 71.07 ± 1.48	20.57 ± 3.78 / 49.85 ± 2.21	38.23 ± 1.71 / 57.70 ± 1.22	64.38 ± 0.17 / 13.19 ± 0.29	53.54 ± 2.56 / 64.30 ± 2.11	69.09 ± 2.95 / 77.89 ± 1.92	21.03 ± 1.49 / 36.45 ± 2.08	69.39 ± 2.58 / 47.10 ± 3.14	62.76 ± 2.10 / 42.75 ± 2.27	3.97 ± 1.70 / 32.77 ± 0.95	62.53 ± 0.18 / 10.78 ± 0.12	31.65 ± 2.14 / 54.96 ± 1.11	5.86 ± 3.28 / 38.81 ± 1.69	36.65 ± 1.08 / 66.51 ± 0.83	16.62 ± 2.53 / 27.77 ± 1.24	2.63 ± 1.71 / 22.23 ± 1.08	57.06 ± 2.15 / 38.72 ± 1.61	59.89 ± 3.67 / 62.05 ± 2.71	9.30 ± 1.88 / 35.59 ± 0.94	39.97 ± 1.52 / 58.05 ± 1.05	65.29 ± 0.11 / 14.61 ± 0.15	16.34 ± 1.98 / 28.83 ± 1.68	0.00 ± 0.00 / 23.16 ± 1.18	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.1	14.0.3	14.0.3	14.0.2	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3	14.0.2	14.0.2	14.0.3	14.0.3	14.0.3	14.0.3	14.0.3
meta-llama/Llama-2-7b-chat-hf (few-shot)	6738	32	4096	False	2,643 ± 455 / 800 ± 247	2.98	2.76	3.27	2.92	35.44 ± 3.00 / 24.63 ± 1.65	44.88 ± 1.45 / 62.35 ± 1.33	9.74 ± 1.96 / 47.42 ± 4.19	55.04 ± 0.79 / 61.34 ± 0.81	66.15 ± 0.67 / 19.69 ± 0.94	32.17 ± 2.28 / 46.67 ± 1.92	35.74 ± 2.46 / 55.18 ± 1.81	11.32 ± 0.41 / 32.24 ± 0.79	44.99 ± 2.49 / 38.59 ± 2.84	49.09 ± 1.90 / 39.09 ± 4.02	41.56 ± 3.37 / 57.09 ± 3.80	63.59 ± 0.40 / 14.15 ± 0.70	3.04 ± 2.84 / 36.81 ± 2.42	4.03 ± 2.49 / 40.55 ± 4.14	33.77 ± 2.11 / 61.99 ± 2.34	14.81 ± 0.79 / 34.79 ± 0.63	12.69 ± 0.77 / 31.84 ± 1.05	39.72 ± 2.82 / 29.85 ± 2.99	66.18 ± 3.25 / 72.00 ± 1.75	6.74 ± 1.66 / 45.55 ± 4.31	54.05 ± 0.84 / 60.90 ± 0.82	65.92 ± 0.05 / 18.51 ± 0.18	17.73 ± 0.98 / 37.55 ± 0.69	12.85 ± 0.93 / 33.37 ± 0.90	9.3.1	9.3.1	9.3.1	12.4.0	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	12.4.0	9.3.1	9.3.1	12.4.0	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.4.0	12.4.0	9.3.1	9.3.1
ibm-granite/granite-8b-code-base-4k (few-shot)	8055	49	4096	True	2,313 ± 423 / 682 ± 210	2.99	2.88	3.18	2.91	48.44 ± 1.69 / 36.99 ± 1.77	39.07 ± 1.03 / 56.85 ± 1.91	9.72 ± 1.58 / 46.85 ± 3.66	51.18 ± 0.92 / 56.54 ± 0.69	63.93 ± 0.79 / 17.49 ± 0.73	33.11 ± 2.59 / 49.31 ± 2.03	18.96 ± 2.16 / 46.29 ± 1.39	9.03 ± 1.28 / 31.42 ± 1.04	68.40 ± 1.16 / 62.53 ± 1.69	65.15 ± 0.79 / 60.39 ± 2.11	42.00 ± 1.78 / 59.90 ± 1.22	61.27 ± 0.80 / 13.34 ± 0.66	5.20 ± 2.23 / 36.33 ± 1.30	3.32 ± 2.02 / 37.81 ± 3.26	37.51 ± 2.58 / 60.94 ± 3.06	12.42 ± 1.42 / 34.82 ± 0.98	8.32 ± 0.78 / 30.87 ± 0.75	59.77 ± 3.55 / 45.71 ± 4.91	74.45 ± 1.19 / 72.26 ± 0.89	3.97 ± 1.50 / 34.79 ± 0.80	50.18 ± 1.05 / 56.07 ± 0.89	62.61 ± 0.55 / 17.92 ± 0.33	14.34 ± 0.73 / 35.93 ± 0.55	7.40 ± 1.39 / 30.20 ± 1.23	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
google/gemma-7b-it (few-shot)	8538	256	8192	False	1,792 ± 249 / 668 ± 203	3.00	2.84	3.06	3.09	43.83 ± 1.93 / 34.03 ± 1.59	29.21 ± 1.92 / 52.86 ± 1.54	12.96 ± 1.67 / 55.83 ± 0.88	49.76 ± 0.59 / 56.52 ± 0.50	65.36 ± 1.08 / 19.65 ± 1.01	41.30 ± 1.79 / 54.09 ± 1.68	31.26 ± 2.75 / 52.68 ± 2.10	15.02 ± 1.01 / 34.38 ± 0.79	59.77 ± 2.77 / 56.12 ± 2.72	60.98 ± 2.01 / 57.99 ± 1.31	28.14 ± 1.90 / 49.76 ± 1.59	60.86 ± 1.60 / 13.66 ± 0.51	14.01 ± 2.15 / 56.43 ± 1.08	10.15 ± 1.06 / 54.56 ± 0.71	51.08 ± 2.83 / 74.34 ± 1.55	19.07 ± 1.42 / 37.82 ± 1.42	16.52 ± 1.25 / 35.24 ± 1.25	59.26 ± 2.00 / 52.73 ± 2.71	28.63 ± 1.24 / 50.95 ± 0.75	11.43 ± 1.88 / 53.31 ± 1.74	46.67 ± 1.97 / 53.24 ± 1.72	63.88 ± 0.30 / 18.58 ± 0.16	17.95 ± 1.18 / 36.41 ± 1.02	13.55 ± 1.32 / 33.39 ± 1.32	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.7.0	12.7.0	12.7.0	12.7.0	12.10.0	12.10.0	12.10.0
01-ai/Yi-1.5-6B (few-shot)	6061	64	4097	True	2,867 ± 550 / 793 ± 253	3.01	3.05	3.22	2.76	35.21 ± 2.52 / 23.65 ± 2.52	12.73 ± 2.87 / 22.69 ± 1.80	4.75 ± 2.45 / 35.71 ± 3.01	55.95 ± 1.09 / 61.53 ± 0.75	64.28 ± 0.93 / 18.81 ± 0.83	46.17 ± 1.83 / 59.04 ± 1.44	36.46 ± 2.46 / 57.64 ± 1.59	18.01 ± 1.66 / 38.12 ± 1.37	46.02 ± 2.12 / 35.05 ± 2.84	48.72 ± 1.76 / 35.97 ± 2.78	27.86 ± 0.76 / 31.62 ± 0.80	60.92 ± 1.45 / 13.73 ± 1.28	2.41 ± 1.92 / 35.60 ± 2.65	2.50 ± 2.05 / 34.90 ± 1.27	44.70 ± 3.79 / 67.06 ± 2.85	23.93 ± 1.18 / 42.87 ± 0.91	22.39 ± 1.04 / 41.71 ± 0.79	45.55 ± 2.18 / 26.78 ± 3.65	70.71 ± 1.99 / 71.19 ± 1.14	4.83 ± 3.48 / 36.64 ± 2.95	55.25 ± 1.21 / 61.21 ± 0.89	63.18 ± 0.45 / 17.62 ± 0.51	26.05 ± 0.80 / 44.56 ± 0.62	27.09 ± 1.66 / 44.95 ± 1.30	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
ibm-granite/granite-3.0-2b-instruct (few-shot)	2634	49	4097	True	10,194 ± 2,403 / 2,193 ± 731	3.01	2.88	3.20	2.96	41.79 ± 2.11 / 32.67 ± 2.33	41.86 ± 1.28 / 61.22 ± 0.99	11.86 ± 1.80 / 50.92 ± 3.93	51.97 ± 0.76 / 59.28 ± 0.61	64.86 ± 0.75 / 19.26 ± 0.79	29.55 ± 1.68 / 46.85 ± 1.40	26.20 ± 2.23 / 51.29 ± 1.34	3.64 ± 0.91 / 27.01 ± 0.69	52.68 ± 2.02 / 46.01 ± 1.94	53.17 ± 0.85 / 47.77 ± 2.12	39.87 ± 1.73 / 55.71 ± 2.40	62.24 ± 0.54 / 14.11 ± 0.65	12.08 ± 2.13 / 51.41 ± 4.09	7.18 ± 2.00 / 48.84 ± 3.17	36.00 ± 2.29 / 61.00 ± 2.15	15.78 ± 1.22 / 36.32 ± 0.86	9.98 ± 1.73 / 31.35 ± 1.65	45.23 ± 3.64 / 37.99 ± 4.03	72.76 ± 2.25 / 72.65 ± 2.38	11.25 ± 2.04 / 51.22 ± 3.26	52.22 ± 0.70 / 59.36 ± 0.78	61.56 ± 0.78 / 17.51 ± 0.44	18.14 ± 1.00 / 38.28 ± 0.77	6.77 ± 1.16 / 28.93 ± 0.94	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
microsoft/Phi-3-mini-4k-instruct (few-shot)	3821	32	4096	True	8,681 ± 1,650 / 2,177 ± 717	3.01	2.83	3.25	2.96	41.37 ± 2.50 / 24.64 ± 2.50	42.60 ± 1.06 / 61.52 ± 0.75	6.52 ± 1.34 / 45.01 ± 2.64	50.57 ± 1.03 / 57.75 ± 0.64	64.55 ± 0.78 / 19.26 ± 0.48	38.64 ± 1.52 / 53.92 ± 1.16	42.12 ± 2.16 / 61.23 ± 1.46	13.66 ± 1.32 / 35.16 ± 1.02	56.33 ± 1.63 / 36.68 ± 3.27	54.68 ± 1.29 / 37.85 ± 3.79	37.18 ± 1.30 / 55.44 ± 1.46	61.44 ± 0.71 / 13.62 ± 0.60	6.76 ± 2.81 / 41.69 ± 2.82	6.79 ± 1.51 / 45.45 ± 3.51	30.11 ± 2.09 / 52.56 ± 2.38	15.54 ± 0.89 / 36.69 ± 0.67	17.55 ± 0.88 / 37.93 ± 0.71	46.15 ± 2.77 / 24.28 ± 3.74	67.17 ± 1.93 / 70.99 ± 1.64	5.30 ± 1.62 / 47.01 ± 3.23	51.12 ± 1.02 / 57.49 ± 0.81	59.20 ± 0.99 / 15.57 ± 0.62	21.33 ± 1.03 / 41.04 ± 0.78	16.12 ± 1.15 / 36.99 ± 0.85	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5
timpal0l/Mistral-7B-v0.1-flashback-v2-instruct (few-shot)	7242	32	32768	False	5,172 ± 813 / 1,647 ± 518	3.01	2.83	3.53	2.67	37.02 ± 5.66 / 27.64 ± 3.92	40.65 ± 2.10 / 57.47 ± 2.56	7.48 ± 2.51 / 46.56 ± 4.52	52.71 ± 0.70 / 59.07 ± 0.65	64.46 ± 0.75 / 14.29 ± 0.40	47.26 ± 2.07 / 60.38 ± 1.55	49.54 ± 1.64 / 66.15 ± 1.06	9.02 ± 1.22 / 30.79 ± 0.64	50.34 ± 3.17 / 45.09 ± 2.65	52.06 ± 2.41 / 46.88 ± 2.39	32.19 ± 2.52 / 43.19 ± 4.63	58.71 ± 4.08 / 11.81 ± 0.96	-0.22 ± 0.43 / 33.41 ± 0.30	0.00 ± 0.00 / 33.86 ± 0.33	20.57 ± 0.64 / 40.19 ± 1.13	22.27 ± 1.22 / 41.36 ± 0.93	11.71 ± 1.56 / 32.80 ± 1.22	46.74 ± 4.30 / 33.57 ± 4.51	77.06 ± 1.82 / 79.02 ± 1.37	14.00 ± 1.59 / 53.89 ± 3.10	56.74 ± 0.52 / 63.45 ± 0.49	62.56 ± 0.85 / 15.85 ± 0.34	30.87 ± 1.35 / 47.77 ± 1.01	15.79 ± 1.57 / 35.66 ± 0.84	12.5.2	12.3.2	12.3.2	12.4.0	12.6.1	12.3.2	12.3.2	12.3.2	12.5.2	12.5.2	12.3.2	12.4.0	12.3.2	12.3.2	12.4.0	12.3.2	12.3.2	12.5.2	12.3.2	12.3.2	12.4.0	12.4.0	12.3.2	12.3.2
emillykkejensen/Phi-3-mini-4k-instruct-dansk (few-shot)	3821	32	4096	False	1,360 ± 179 / 566 ± 190	3.03	2.78	3.30	3.00	39.96 ± 3.11 / 25.49 ± 2.71	44.93 ± 1.13 / 62.99 ± 0.87	4.01 ± 1.10 / 45.80 ± 2.61	55.01 ± 0.80 / 60.67 ± 0.59	65.29 ± 0.58 / 20.29 ± 0.54	35.28 ± 1.37 / 51.43 ± 1.04	41.62 ± 2.04 / 60.84 ± 1.39	11.81 ± 1.05 / 33.65 ± 0.84	56.41 ± 2.05 / 37.55 ± 3.57	53.95 ± 1.23 / 38.44 ± 4.85	42.27 ± 1.52 / 56.76 ± 2.10	60.58 ± 0.98 / 12.77 ± 0.70	0.00 ± 0.00 / 33.41 ± 0.30	0.21 ± 1.00 / 34.08 ± 0.56	29.35 ± 1.40 / 53.48 ± 2.01	18.57 ± 0.90 / 39.13 ± 0.69	13.36 ± 1.66 / 34.70 ± 1.32	47.81 ± 2.60 / 27.94 ± 5.79	68.43 ± 2.12 / 68.82 ± 2.65	3.63 ± 1.46 / 43.69 ± 4.56	53.03 ± 0.62 / 58.80 ± 0.59	56.14 ± 0.47 / 11.16 ± 0.37	23.29 ± 1.03 / 42.63 ± 0.76	12.06 ± 1.23 / 33.77 ± 0.99	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4
meta-llama/Llama-2-7b-hf (few-shot)	6738	32	4096	True	930 ± 310 / 128 ± 43	3.03	2.94	3.31	2.84	31.77 ± 3.29 / 22.31 ± 2.29	43.91 ± 1.94 / 61.54 ± 2.33	0.31 ± 0.61 / 33.43 ± 0.23	58.44 ± 0.83 / 63.54 ± 0.66	65.50 ± 0.82 / 19.96 ± 0.95	20.18 ± 1.80 / 38.69 ± 1.57	35.69 ± 2.31 / 57.05 ± 1.60	7.93 ± 1.49 / 29.76 ± 0.92	42.13 ± 3.82 / 37.17 ± 3.44	43.80 ± 2.85 / 37.48 ± 4.00	41.74 ± 2.25 / 57.91 ± 2.82	62.30 ± 1.81 / 14.85 ± 1.88	0.00 ± 0.00 / 33.41 ± 0.30	0.02 ± 0.04 / 33.88 ± 0.35	44.19 ± 4.13 / 66.18 ± 4.05	14.48 ± 1.33 / 35.35 ± 0.94	6.49 ± 1.39 / 28.64 ± 0.96	44.11 ± 4.26 / 31.64 ± 4.48	79.05 ± 1.08 / 75.52 ± 2.66	7.34 ± 3.19 / 43.83 ± 5.31	57.49 ± 0.95 / 63.16 ± 0.77	64.63 ± 0.39 / 18.68 ± 0.39	15.65 ± 0.55 / 36.32 ± 0.55	8.74 ± 1.34 / 29.87 ± 1.40	9.2.0	9.2.0	9.2.0	12.5.1	12.6.1	10.0.1	10.0.1	9.2.0	9.2.0	9.2.0	9.2.0	11.0.0	9.2.0	9.2.0	12.5.1	9.2.0	9.2.0	9.2.0	9.2.0	9.2.0	12.5.1	12.0.0	9.2.0	9.2.0
Qwen/Qwen1.5-4B-Chat (few-shot)	3950	152	32768	False	4,347 ± 893 / 1,135 ± 365	3.04	2.84	3.31	2.96	35.96 ± 2.61 / 28.58 ± 2.58	42.04 ± 1.42 / 60.76 ± 1.41	8.65 ± 1.52 / 49.56 ± 3.60	53.68 ± 0.94 / 59.73 ± 0.86	63.22 ± 1.14 / 16.73 ± 1.50	37.79 ± 1.24 / 52.64 ± 0.99	29.62 ± 1.33 / 52.29 ± 1.02	16.87 ± 1.18 / 37.41 ± 0.90	44.83 ± 1.58 / 40.11 ± 2.00	46.29 ± 1.65 / 41.63 ± 3.45	32.70 ± 1.59 / 45.73 ± 2.82	60.53 ± 1.97 / 12.86 ± 1.03	3.57 ± 1.55 / 37.05 ± 2.34	1.61 ± 2.11 / 37.85 ± 3.99	42.55 ± 3.36 / 67.11 ± 2.50	17.00 ± 1.21 / 37.67 ± 0.96	16.18 ± 1.00 / 36.91 ± 0.64	40.19 ± 2.97 / 31.88 ± 4.51	64.08 ± 2.44 / 69.62 ± 1.29	5.43 ± 2.02 / 38.32 ± 2.54	53.21 ± 1.08 / 59.57 ± 0.97	61.90 ± 0.87 / 17.34 ± 0.52	20.95 ± 0.97 / 40.87 ± 0.76	16.59 ± 1.45 / 36.76 ± 1.20	12.5.2	10.0.1	12.1.0	12.5.2	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	10.0.1	12.1.0	12.1.0	12.1.0	12.5.2	12.1.0	12.1.0	12.5.2	10.0.1	12.1.0	12.5.2	12.1.0	12.1.0	12.1.0
ibm-granite/granite-8b-code-instruct-4k (few-shot)	8055	49	4096	True	5,617 ± 995 / 1,623 ± 540	3.06	2.97	3.24	2.97	45.90 ± 2.53 / 33.00 ± 1.93	37.11 ± 1.88 / 56.47 ± 1.59	11.70 ± 2.16 / 50.31 ± 3.91	50.11 ± 0.83 / 55.71 ± 0.49	63.86 ± 0.96 / 18.38 ± 0.71	32.44 ± 2.29 / 46.63 ± 2.29	7.46 ± 1.83 / 39.41 ± 1.17	5.62 ± 1.16 / 28.71 ± 0.79	66.91 ± 1.50 / 54.98 ± 2.20	62.82 ± 1.23 / 53.14 ± 3.17	40.71 ± 1.63 / 59.35 ± 1.58	60.59 ± 0.99 / 12.74 ± 0.82	9.50 ± 1.68 / 46.31 ± 3.06	6.74 ± 1.70 / 42.10 ± 4.67	32.83 ± 1.83 / 55.30 ± 2.35	11.35 ± 1.23 / 32.01 ± 0.91	6.21 ± 0.99 / 29.05 ± 0.80	52.85 ± 2.76 / 35.11 ± 3.66	73.93 ± 1.58 / 73.97 ± 1.19	8.27 ± 2.90 / 43.29 ± 4.82	48.49 ± 0.77 / 54.50 ± 0.73	60.98 ± 0.80 / 16.18 ± 0.48	13.69 ± 0.86 / 33.34 ± 0.46	5.68 ± 1.13 / 27.99 ± 1.11	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
merge-crew/da-sv-dare-ties-density-0.3 (few-shot, val)	7242	32	32768	True	2,461 ± 476 / 773 ± 248	3.07	2.88	3.37	2.95	30.16 ± 4.47 / 25.03 ± 3.01	48.49 ± 2.41 / 63.06 ± 1.91	5.52 ± 4.66 / 38.81 ± 4.27	52.44 ± 1.32 / 57.22 ± 1.44	64.24 ± 1.42 / 18.43 ± 1.20	43.57 ± 3.32 / 56.56 ± 2.69	35.60 ± 4.28 / 50.86 ± 3.49	6.76 ± 2.77 / 28.91 ± 2.38	35.98 ± 3.79 / 27.51 ± 2.13	47.39 ± 2.31 / 36.42 ± 2.87	38.98 ± 5.51 / 58.23 ± 4.01	61.99 ± 0.85 / 14.07 ± 0.75	11.54 ± 5.04 / 49.91 ± 3.96	5.20 ± 3.47 / 46.19 ± 5.23	37.54 ± 3.00 / 56.56 ± 2.96	10.40 ± 2.03 / 29.84 ± 1.34	2.52 ± 1.76 / 24.84 ± 1.48	32.37 ± 3.05 / 24.60 ± 3.81	75.33 ± 2.41 / 77.99 ± 2.58	12.73 ± 6.32 / 45.51 ± 7.43	53.05 ± 1.83 / 58.32 ± 1.46	64.74 ± 0.74 / 19.59 ± 0.87	15.60 ± 1.96 / 33.16 ± 1.77	9.81 ± 2.55 / 28.12 ± 2.70	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1
NorwAI/NorwAI-Mistral-7B (few-shot)	7537	68	4096	True	3,035 ± 503 / 911 ± 300	3.08	2.84	3.31	3.09	21.47 ± 3.87 / 16.98 ± 3.19	48.39 ± 0.66 / 64.51 ± 1.38	12.46 ± 2.22 / 52.33 ± 3.21	52.51 ± 1.57 / 58.49 ± 1.58	66.53 ± 1.15 / 21.82 ± 1.03	36.65 ± 2.42 / 48.70 ± 2.50	49.97 ± 2.70 / 65.62 ± 1.94	5.64 ± 1.49 / 28.33 ± 0.91	21.09 ± 6.44 / 20.45 ± 2.65	26.31 ± 4.64 / 26.42 ± 2.98	49.00 ± 3.88 / 65.98 ± 2.95	63.87 ± 1.60 / 17.88 ± 1.49	7.15 ± 2.14 / 40.83 ± 3.95	7.98 ± 2.64 / 45.21 ± 4.95	47.70 ± 5.32 / 68.04 ± 5.37	5.83 ± 1.04 / 27.83 ± 1.08	5.39 ± 1.69 / 27.82 ± 1.56	23.88 ± 7.28 / 17.99 ± 3.56	80.26 ± 0.89 / 77.89 ± 0.89	13.50 ± 2.27 / 52.55 ± 2.86	55.02 ± 0.96 / 60.74 ± 0.89	64.78 ± 0.63 / 18.68 ± 0.51	6.62 ± 0.88 / 27.61 ± 0.74	2.66 ± 1.04 / 26.32 ± 0.72	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.4	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5
AI-Sweden-Models/gpt-sw3-40b (few-shot)	39927	64	2048	True	409 ± 53 / 182 ± 54	3.11	2.85	3.48	3.00	26.57 ± 5.22 / 17.35 ± 2.79	47.81 ± 1.32 / 64.26 ± 1.28	11.13 ± 2.06 / 51.34 ± 3.02	53.78 ± 0.70 / 60.13 ± 0.69	66.21 ± 1.17 / 21.48 ± 1.27	33.48 ± 3.59 / 46.04 ± 3.05	29.86 ± 1.89 / 49.82 ± 1.71	6.67 ± 1.87 / 29.53 ± 1.25	24.07 ± 5.59 / 19.09 ± 2.55	26.67 ± 6.24 / 21.18 ± 2.80	31.05 ± 7.03 / 45.69 ± 8.29	61.58 ± 2.25 / 15.13 ± 2.44	10.80 ± 1.96 / 52.29 ± 2.55	8.89 ± 2.52 / 47.62 ± 4.31	48.78 ± 3.64 / 71.66 ± 3.34	6.67 ± 1.51 / 28.84 ± 1.19	6.25 ± 1.29 / 29.00 ± 1.15	32.00 ± 3.27 / 17.02 ± 2.03	80.44 ± 0.54 / 77.81 ± 1.18	10.73 ± 2.53 / 51.37 ± 4.05	53.80 ± 0.86 / 60.53 ± 0.78	65.16 ± 0.50 / 19.50 ± 0.58	8.35 ± 0.95 / 30.38 ± 0.80	5.74 ± 1.30 / 28.98 ± 1.13	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.1	12.9.1	12.9.1	12.9.0	12.9.0	12.9.0	12.9.1	12.9.0	12.9.0	12.9.0	12.9.1	12.9.1	12.9.0	12.9.0	12.9.0	12.9.0	12.9.1	12.9.1	12.9.1
tollefj/nordavind-7b-instruct-warm (few-shot)	7248	33	2048	False	6,450 ± 961 / 2,082 ± 658	3.13	2.92	3.39	3.08	38.39 ± 3.57 / 24.87 ± 2.52	49.44 ± 1.03 / 66.00 ± 0.88	7.50 ± 2.07 / 47.53 ± 4.03	51.24 ± 1.09 / 57.72 ± 0.98	66.09 ± 1.40 / 22.03 ± 1.26	3.53 ± 1.44 / 24.18 ± 1.19	12.86 ± 2.99 / 40.23 ± 2.31	1.29 ± 1.23 / 25.61 ± 0.84	38.82 ± 5.36 / 30.48 ± 1.91	43.28 ± 3.13 / 33.87 ± 3.30	38.05 ± 1.85 / 47.06 ± 3.97	64.04 ± 1.06 / 17.41 ± 1.19	8.45 ± 2.47 / 46.75 ± 3.97	7.50 ± 1.65 / 48.14 ± 4.65	40.47 ± 2.77 / 64.21 ± 2.94	2.60 ± 1.14 / 25.13 ± 0.64	3.83 ± 0.86 / 26.37 ± 0.88	47.24 ± 3.36 / 24.94 ± 3.21	77.91 ± 1.42 / 76.08 ± 2.54	5.55 ± 2.55 / 48.57 ± 3.21	51.41 ± 0.74 / 57.55 ± 0.69	61.11 ± 1.02 / 17.57 ± 0.33	1.49 ± 1.11 / 25.90 ± 0.71	3.97 ± 0.92 / 27.45 ± 0.68	12.5.2	12.3.2	12.3.2	12.4.0	12.6.1	12.3.2	12.3.2	12.3.2	12.5.2	12.5.2	12.3.2	12.4.0	12.3.2	12.3.2	12.4.0	12.3.2	12.3.2	12.5.2	12.3.2	12.3.2	12.4.0	12.4.0	12.3.2	12.3.2
norallm/normistral-7b-warm-instruct (few-shot)	unknown	33	2048	True	6,194 ± 949 / 1,967 ± 619	3.14	2.96	3.35	3.12	39.83 ± 2.18 / 25.99 ± 1.56	47.48 ± 2.00 / 63.93 ± 1.86	4.55 ± 2.34 / 42.91 ± 4.05	49.23 ± 0.63 / 57.45 ± 0.53	66.17 ± 1.09 / 21.29 ± 0.90	10.83 ± 2.01 / 28.99 ± 1.32	14.66 ± 2.21 / 41.21 ± 0.84	2.71 ± 0.74 / 26.10 ± 0.82	46.49 ± 2.30 / 31.87 ± 1.92	51.46 ± 2.36 / 35.87 ± 2.14	37.98 ± 1.72 / 43.91 ± 2.51	64.52 ± 0.50 / 17.03 ± 1.00	7.86 ± 2.74 / 47.20 ± 2.71	7.23 ± 1.97 / 46.62 ± 3.92	33.31 ± 1.03 / 59.27 ± 1.53	5.22 ± 0.78 / 25.35 ± 0.57	9.32 ± 1.67 / 29.64 ± 1.49	51.45 ± 3.13 / 26.49 ± 3.00	63.64 ± 3.74 / 65.08 ± 2.46	5.80 ± 1.74 / 51.04 ± 1.54	48.95 ± 1.00 / 57.09 ± 0.92	62.18 ± 0.57 / 16.32 ± 0.33	4.88 ± 0.59 / 25.13 ± 0.54	4.63 ± 1.09 / 27.29 ± 1.02	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1
NbAiLab/nb-llama-3.1-8B (few-shot)	8030	128	131072	True	1,297 ± 338 / 245 ± 83	3.15	3.04	3.34	3.06	44.83 ± 1.57 / 29.75 ± 1.72	37.14 ± 1.61 / 44.74 ± 2.01	10.13 ± 5.10 / 38.99 ± 4.78	8.09 ± 1.64 / 25.61 ± 3.07	62.82 ± 0.86 / 14.27 ± 1.29	76.03 ± 1.40 / 81.88 ± 1.04	75.60 ± 2.06 / 83.79 ± 1.34	14.76 ± 2.89 / 34.79 ± 2.20	51.85 ± 2.62 / 39.77 ± 2.84	54.79 ± 2.20 / 44.97 ± 2.37	31.84 ± 1.39 / 35.10 ± 1.48	57.35 ± 0.84 / 8.36 ± 0.46	36.30 ± 2.59 / 64.51 ± 1.65	32.19 ± 2.36 / 62.68 ± 2.41	0.71 ± 0.32 / 21.70 ± 1.90	31.23 ± 1.23 / 48.03 ± 1.02	11.21 ± 2.33 / 31.98 ± 1.74	53.65 ± 2.53 / 39.64 ± 3.15	80.41 ± 0.94 / 76.59 ± 2.74	5.81 ± 2.66 / 35.16 ± 1.09	10.43 ± 3.47 / 27.86 ± 4.03	62.48 ± 0.38 / 15.64 ± 0.70	33.96 ± 1.05 / 50.10 ± 0.86	15.36 ± 2.83 / 34.82 ± 2.53	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
allenai/OLMo-1.7-7B-hf (few-shot)	6888	50	4096	True	3,371 ± 876 / 561 ± 184	3.15	3.10	3.42	2.93	33.80 ± 2.66 / 25.32 ± 3.06	31.57 ± 2.65 / 46.48 ± 3.84	2.76 ± 1.76 / 44.96 ± 3.93	54.20 ± 1.63 / 59.50 ± 1.54	64.19 ± 1.01 / 17.67 ± 1.44	17.75 ± 1.41 / 35.70 ± 1.27	28.24 ± 2.88 / 52.50 ± 1.77	4.50 ± 0.85 / 27.33 ± 0.64	42.78 ± 1.09 / 37.34 ± 1.81	42.85 ± 1.93 / 37.34 ± 3.04	36.68 ± 2.11 / 46.78 ± 2.71	59.58 ± 1.88 / 12.71 ± 1.18	2.39 ± 1.54 / 43.99 ± 3.66	1.91 ± 1.37 / 44.20 ± 4.28	39.16 ± 2.56 / 62.28 ± 2.34	13.41 ± 0.92 / 33.01 ± 0.94	7.83 ± 1.64 / 29.50 ± 1.51	41.25 ± 2.07 / 32.87 ± 2.49	76.60 ± 0.98 / 64.63 ± 2.41	6.37 ± 2.08 / 49.55 ± 3.34	54.87 ± 0.64 / 61.35 ± 0.68	62.90 ± 0.52 / 17.15 ± 0.51	16.18 ± 0.78 / 34.88 ± 0.66	8.52 ± 1.90 / 29.96 ± 1.75	12.10.5	12.10.4	12.10.4	12.10.5	12.10.5	12.10.4	12.10.4	12.10.4	12.10.5	12.10.5	12.10.4	12.10.5	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4	12.10.5	12.10.4	12.10.4	12.10.5	12.10.5	12.10.4	12.10.4
ibm-granite/granite-3.0-2b-base (few-shot)	2534	49	4097	True	10,187 ± 2,363 / 2,204 ± 737	3.15	3.07	3.36	3.02	32.34 ± 3.77 / 24.48 ± 3.17	29.50 ± 3.63 / 42.61 ± 4.86	3.89 ± 1.49 / 37.29 ± 3.65	53.67 ± 0.84 / 59.15 ± 0.69	64.48 ± 0.83 / 19.25 ± 0.78	24.40 ± 2.55 / 42.44 ± 1.87	31.93 ± 1.90 / 54.43 ± 1.22	10.00 ± 1.73 / 32.31 ± 0.87	43.00 ± 2.81 / 35.39 ± 2.28	45.08 ± 0.83 / 38.16 ± 1.91	35.36 ± 2.31 / 54.88 ± 2.08	62.00 ± 0.62 / 14.22 ± 0.76	2.79 ± 1.92 / 41.90 ± 4.62	1.95 ± 2.02 / 38.91 ± 3.27	37.33 ± 3.11 / 59.74 ± 2.74	15.76 ± 1.18 / 36.68 ± 0.90	12.98 ± 1.32 / 34.07 ± 1.34	36.54 ± 2.70 / 28.79 ± 3.85	68.85 ± 5.19 / 70.02 ± 3.95	2.60 ± 2.58 / 40.21 ± 4.08	54.58 ± 0.89 / 59.78 ± 0.77	61.77 ± 1.85 / 17.01 ± 0.69	16.19 ± 1.01 / 37.23 ± 0.78	14.06 ± 1.52 / 34.80 ± 1.35	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
microsoft/Phi-3-mini-128k-instruct (few-shot)	3821	32	131072	True	7,312 ± 1,668 / 1,609 ± 525	3.16	3.12	3.30	3.06	4.51 ± 2.12 / 3.71 ± 1.76	40.85 ± 1.26 / 59.79 ± 1.32	5.43 ± 1.74 / 46.21 ± 4.13	51.76 ± 0.73 / 58.44 ± 0.54	64.64 ± 0.66 / 19.18 ± 0.74	37.45 ± 1.45 / 52.86 ± 1.15	36.39 ± 2.23 / 56.50 ± 1.51	17.42 ± 0.78 / 38.06 ± 0.55	52.18 ± 2.03 / 29.83 ± 3.23	50.53 ± 1.49 / 31.94 ± 4.20	33.30 ± 2.01 / 51.15 ± 2.93	60.69 ± 0.97 / 12.72 ± 0.74	2.63 ± 2.56 / 40.21 ± 3.98	4.00 ± 1.87 / 44.87 ± 3.17	37.08 ± 2.44 / 61.14 ± 2.01	17.34 ± 0.74 / 38.04 ± 0.55	17.43 ± 1.21 / 38.01 ± 0.91	42.36 ± 1.67 / 21.33 ± 2.90	51.53 ± 6.32 / 62.14 ± 3.43	3.11 ± 1.60 / 47.93 ± 2.93	51.11 ± 0.96 / 57.21 ± 0.95	59.28 ± 0.86 / 15.52 ± 0.64	22.99 ± 1.08 / 42.27 ± 0.81	20.19 ± 0.99 / 40.11 ± 0.71	12.9.1	12.9.1	12.9.1	12.9.1	12.9.1	12.10.0	12.10.0	12.10.0	12.9.1	12.9.1	12.9.1	12.10.0	12.9.1	12.9.1	12.9.1	12.10.0	12.10.0	12.9.1	12.9.1	12.9.1	12.9.1	12.10.0	12.10.0	12.10.0
TrustLLMeu/baseline-7-8b_1t-tokens_llama (few-shot)	7800	100	4096	True	6,197 ± 1,118 / 1,730 ± 577	3.17	3.00	3.45	3.05	34.25 ± 2.28 / 30.39 ± 2.14	45.67 ± 2.41 / 58.41 ± 3.04	10.62 ± 2.37 / 53.20 ± 3.73	50.77 ± 2.48 / 56.92 ± 2.42	65.67 ± 1.05 / 19.97 ± 0.93	2.31 ± 1.92 / 24.65 ± 1.65	10.57 ± 2.47 / 40.33 ± 1.67	0.64 ± 1.55 / 25.40 ± 0.77	42.77 ± 2.42 / 40.31 ± 2.34	45.69 ± 3.69 / 43.11 ± 3.62	37.79 ± 2.38 / 56.41 ± 2.91	61.05 ± 1.44 / 13.39 ± 1.24	8.77 ± 1.96 / 49.11 ± 4.22	8.47 ± 3.16 / 49.65 ± 4.39	44.24 ± 4.15 / 65.11 ± 3.79	-1.34 ± 1.57 / 22.60 ± 0.91	-0.94 ± 1.03 / 24.17 ± 0.64	42.87 ± 3.17 / 40.34 ± 2.52	79.18 ± 0.46 / 76.66 ± 1.44	8.65 ± 1.60 / 46.95 ± 3.15	51.56 ± 0.79 / 57.58 ± 0.79	64.66 ± 0.41 / 18.04 ± 0.38	2.37 ± 1.04 / 24.51 ± 0.95	0.17 ± 0.83 / 25.26 ± 0.69	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
google/gemma-2-2b (few-shot)	2614	256	8193	True	5,235 ± 1,226 / 1,154 ± 366	3.18	3.02	3.51	3.00	17.29 ± 2.84 / 13.87 ± 2.03	34.94 ± 2.71 / 42.58 ± 3.24	6.39 ± 2.41 / 45.03 ± 4.32	54.94 ± 1.00 / 59.95 ± 1.03	64.82 ± 1.05 / 20.37 ± 1.06	48.07 ± 1.24 / 60.50 ± 0.88	45.03 ± 1.84 / 63.40 ± 1.23	9.10 ± 1.03 / 30.51 ± 1.01	20.47 ± 4.02 / 21.28 ± 2.58	24.18 ± 4.24 / 24.41 ± 3.40	32.61 ± 1.86 / 47.91 ± 2.11	60.17 ± 2.18 / 13.48 ± 1.53	3.22 ± 1.55 / 36.61 ± 2.49	3.91 ± 2.50 / 45.37 ± 4.56	41.16 ± 3.73 / 63.31 ± 3.73	19.03 ± 1.65 / 38.84 ± 1.33	7.35 ± 1.61 / 28.89 ± 1.54	30.45 ± 3.49 / 23.98 ± 3.18	76.36 ± 1.10 / 65.98 ± 2.36	6.06 ± 2.07 / 49.80 ± 2.71	55.19 ± 0.71 / 60.59 ± 0.61	63.12 ± 0.69 / 17.92 ± 0.39	20.80 ± 0.90 / 40.36 ± 0.78	6.24 ± 1.13 / 28.87 ± 1.03	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
AI-Sweden-Models/gpt-sw3-20b (few-shot)	20918	64	2048	True	1,875 ± 673 / 261 ± 91	3.20	3.15	3.37	3.07	27.41 ± 3.48 / 19.03 ± 1.76	30.23 ± 3.43 / 41.05 ± 4.38	11.34 ± 2.73 / 46.62 ± 5.48	52.80 ± 0.68 / 59.56 ± 0.57	64.47 ± 1.21 / 18.39 ± 1.63	11.04 ± 2.43 / 29.26 ± 1.97	22.71 ± 2.48 / 46.50 ± 1.86	3.03 ± 1.08 / 26.49 ± 0.59	30.82 ± 5.81 / 25.27 ± 3.92	39.56 ± 4.73 / 32.12 ± 4.06	34.50 ± 1.29 / 42.21 ± 1.39	63.10 ± 1.12 / 16.05 ± 1.50	15.17 ± 1.41 / 49.46 ± 2.90	12.46 ± 3.29 / 48.89 ± 5.19	42.81 ± 3.10 / 66.15 ± 3.21	4.51 ± 1.00 / 27.45 ± 0.78	5.27 ± 1.29 / 28.47 ± 1.11	31.86 ± 5.09 / 21.95 ± 3.90	79.20 ± 1.03 / 79.87 ± 1.11	12.26 ± 1.97 / 46.90 ± 4.11	53.58 ± 0.97 / 60.28 ± 0.81	64.14 ± 0.46 / 18.76 ± 0.39	3.15 ± 0.80 / 27.43 ± 0.91	2.77 ± 1.26 / 26.43 ± 0.84	9.3.1	12.10.0	9.3.1	9.3.1	9.3.1	12.9.0	12.9.0	9.3.1	9.3.1	9.3.1	12.10.0	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.10.0	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1
NorwAI/NorwAI-Llama2-7B (few-shot)	7033	68	4096	True	4,438 ± 1,128 / 1,028 ± 346	3.20	3.03	3.42	3.15	16.72 ± 2.23 / 15.96 ± 2.08	45.89 ± 2.13 / 63.12 ± 1.98	11.25 ± 2.33 / 51.88 ± 2.35	53.17 ± 0.79 / 59.30 ± 0.66	66.51 ± 1.29 / 22.13 ± 1.19	14.84 ± 2.11 / 33.02 ± 1.92	27.95 ± 3.54 / 48.55 ± 2.35	2.41 ± 1.06 / 26.59 ± 0.72	31.45 ± 1.64 / 31.64 ± 1.89	33.85 ± 1.95 / 34.29 ± 1.91	36.06 ± 3.96 / 52.59 ± 4.67	63.06 ± 2.34 / 17.34 ± 1.88	8.34 ± 2.97 / 45.11 ± 4.57	6.84 ± 3.88 / 45.28 ± 5.45	48.31 ± 4.22 / 69.39 ± 4.10	3.28 ± 1.19 / 25.97 ± 1.25	1.87 ± 1.03 / 26.44 ± 0.71	24.98 ± 2.04 / 25.50 ± 1.92	79.36 ± 1.35 / 76.34 ± 3.44	5.75 ± 2.23 / 41.27 ± 4.75	54.74 ± 0.84 / 60.74 ± 0.65	64.60 ± 1.09 / 18.36 ± 0.56	3.83 ± 1.03 / 26.46 ± 0.77	4.40 ± 1.42 / 28.14 ± 1.05	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5
ibm-granite/granite-3.0-3b-a800m-instruct (few-shot)	3374	49	4096	True	10,246 ± 3,021 / 1,629 ± 550	3.26	3.14	3.54	3.11	37.37 ± 2.46 / 26.81 ± 2.24	31.44 ± 1.82 / 48.96 ± 2.35	5.27 ± 2.40 / 40.63 ± 4.68	48.41 ± 1.10 / 55.05 ± 0.97	63.82 ± 0.97 / 18.09 ± 0.88	18.25 ± 1.54 / 38.38 ± 1.12	19.54 ± 2.59 / 46.35 ± 1.91	2.64 ± 1.03 / 26.88 ± 0.77	44.89 ± 2.26 / 34.93 ± 2.45	48.08 ± 1.68 / 34.39 ± 2.61	32.29 ± 1.15 / 51.91 ± 2.66	59.77 ± 0.91 / 11.96 ± 0.65	7.49 ± 1.65 / 47.79 ± 3.81	4.65 ± 1.91 / 45.75 ± 5.13	26.37 ± 1.51 / 47.59 ± 2.41	11.54 ± 1.37 / 32.89 ± 1.10	3.42 ± 1.93 / 26.93 ± 1.47	40.68 ± 2.32 / 24.33 ± 2.43	68.96 ± 2.04 / 72.76 ± 1.25	4.77 ± 1.97 / 43.64 ± 5.60	49.73 ± 0.76 / 56.63 ± 0.69	60.93 ± 0.49 / 14.76 ± 0.77	13.55 ± 1.27 / 34.97 ± 0.99	5.27 ± 1.49 / 27.92 ± 1.10	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
LumiOpen/Viking-33B@1000B (few-shot)	33119	131	4099	True	2,080 ± 700 / 331 ± 117	3.27	3.08	3.57	3.15	34.22 ± 2.47 / 22.52 ± 1.93	45.05 ± 2.49 / 62.23 ± 1.84	9.40 ± 2.63 / 44.83 ± 4.69	54.92 ± 1.00 / 60.33 ± 0.76	62.78 ± 0.97 / 15.36 ± 1.96	0.43 ± 1.04 / 24.15 ± 0.82	4.81 ± 3.43 / 36.58 ± 2.02	1.77 ± 0.76 / 26.00 ± 0.65	40.40 ± 2.29 / 30.41 ± 2.07	44.45 ± 3.61 / 34.06 ± 3.27	40.79 ± 1.70 / 57.84 ± 2.77	56.55 ± 1.85 / 9.81 ± 1.29	5.91 ± 2.51 / 47.81 ± 3.76	2.98 ± 2.86 / 45.49 ± 4.59	37.75 ± 3.23 / 59.72 ± 3.03	1.16 ± 0.75 / 23.71 ± 0.76	-0.29 ± 1.00 / 24.91 ± 0.66	42.35 ± 1.51 / 28.31 ± 3.87	77.68 ± 1.11 / 78.86 ± 0.93	8.08 ± 1.69 / 50.52 ± 2.25	54.57 ± 1.25 / 60.34 ± 1.10	58.30 ± 1.94 / 14.29 ± 0.83	1.73 ± 1.04 / 24.98 ± 0.69	-0.32 ± 1.25 / 25.53 ± 0.82	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0	12.9.0
Qwen/Qwen1.5-4B (few-shot)	3950	152	32768	True	3,248 ± 739 / 761 ± 252	3.29	2.94	3.45	3.49	32.28 ± 3.16 / 23.24 ± 3.51	39.62 ± 2.39 / 56.09 ± 2.89	5.38 ± 2.18 / 36.31 ± 1.96	54.16 ± 0.89 / 60.63 ± 0.75	62.74 ± 1.62 / 16.48 ± 1.77	37.49 ± 1.84 / 51.62 ± 1.43	29.21 ± 3.46 / 52.40 ± 2.50	15.58 ± 1.48 / 36.33 ± 1.08	32.12 ± 5.17 / 32.01 ± 2.80	36.86 ± 3.53 / 35.46 ± 3.07	36.97 ± 1.94 / 55.08 ± 2.30	57.64 ± 2.16 / 11.53 ± 1.29	5.27 ± 3.31 / 40.91 ± 5.24	1.40 ± 1.87 / 33.64 ± 0.74	40.00 ± 2.26 / 62.87 ± 1.60	16.50 ± 1.40 / 36.63 ± 1.17	13.27 ± 2.02 / 34.42 ± 1.54	37.26 ± 4.28 / 29.89 ± 5.96	5.20 ± 7.35 / 30.65 ± 4.97	1.85 ± 1.54 / 33.71 ± 0.46	54.15 ± 0.58 / 60.15 ± 0.59	58.24 ± 1.76 / 16.02 ± 0.88	22.04 ± 0.60 / 41.36 ± 0.54	14.76 ± 1.28 / 35.27 ± 1.32	12.5.2	10.0.1	12.1.0	12.1.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	10.0.1	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.5.2	9.3.2	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0
norallm/normistral-7b-warm (few-shot)	7248	33	2048	True	3,175 ± 456 / 1,186 ± 354	3.31	3.15	3.58	3.20	37.80 ± 2.75 / 24.74 ± 2.30	40.51 ± 1.75 / 55.84 ± 2.46	3.35 ± 1.84 / 44.60 ± 4.67	49.08 ± 1.74 / 55.58 ± 1.57	65.81 ± 1.29 / 21.55 ± 1.19	-0.90 ± 1.63 / 23.10 ± 1.16	3.61 ± 2.89 / 35.10 ± 1.82	0.40 ± 1.28 / 25.12 ± 0.72	42.29 ± 4.36 / 31.45 ± 1.88	46.29 ± 3.44 / 35.99 ± 4.20	27.05 ± 3.33 / 45.30 ± 3.46	62.81 ± 1.69 / 17.08 ± 1.49	1.63 ± 2.58 / 38.29 ± 4.05	2.57 ± 1.78 / 40.92 ± 4.00	39.18 ± 2.84 / 61.85 ± 3.07	1.50 ± 0.72 / 23.00 ± 0.61	-0.05 ± 1.05 / 25.00 ± 0.83	48.78 ± 5.08 / 26.81 ± 3.42	76.09 ± 1.23 / 74.78 ± 1.97	2.53 ± 2.80 / 47.37 ± 2.29	48.93 ± 0.97 / 55.09 ± 0.85	57.49 ± 2.27 / 16.17 ± 0.78	1.28 ± 1.28 / 23.12 ± 0.63	1.27 ± 0.61 / 25.74 ± 0.70	11.0.0	11.0.0	11.0.0	11.0.0	12.6.1	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0
AI-Sweden-Models/gpt-sw3-6.7b-v2 (few-shot)	7111	64	2048	True	2,351 ± 448 / 707 ± 216	3.32	3.30	3.48	3.17	20.84 ± 2.40 / 16.93 ± 1.98	18.07 ± 3.41 / 27.21 ± 2.91	10.54 ± 2.38 / 48.37 ± 3.58	51.22 ± 0.94 / 57.23 ± 0.68	65.15 ± 1.16 / 18.96 ± 1.15	6.34 ± 2.61 / 28.14 ± 1.77	18.00 ± 3.09 / 45.08 ± 1.79	5.57 ± 0.93 / 28.66 ± 0.66	29.62 ± 4.17 / 24.40 ± 2.42	32.30 ± 5.27 / 29.23 ± 3.22	34.67 ± 5.23 / 54.62 ± 5.71	61.61 ± 2.04 / 14.34 ± 1.84	8.37 ± 1.71 / 48.94 ± 2.72	7.76 ± 2.86 / 46.16 ± 4.77	44.62 ± 3.31 / 67.57 ± 3.03	3.03 ± 1.30 / 25.60 ± 0.86	5.57 ± 1.19 / 27.61 ± 0.93	28.73 ± 3.63 / 20.43 ± 3.72	77.47 ± 1.36 / 78.60 ± 1.25	8.78 ± 2.01 / 42.28 ± 3.17	50.57 ± 0.94 / 56.51 ± 0.79	62.41 ± 0.85 / 16.45 ± 0.64	5.23 ± 1.02 / 28.63 ± 0.82	5.39 ± 0.81 / 28.86 ± 0.60	9.2.0	9.2.0	9.2.0	12.5.1	12.6.1	10.0.1	10.0.1	9.2.0	9.2.0	9.2.0	9.2.0	11.0.0	9.2.0	9.2.0	12.5.1	9.2.0	9.2.0	9.2.0	9.2.0	9.2.0	12.5.1	11.0.0	9.2.0	9.2.0
openGPT-X/Teuken-7B-instruct-research-v0.4 (few-shot)	7453	251	4096	False	1,254 ± 328 / 243 ± 83	3.32	3.12	3.67	3.17	34.66 ± 1.19 / 21.37 ± 1.52	21.93 ± 3.72 / 31.67 ± 4.68	1.50 ± 1.04 / 33.84 ± 0.24	52.36 ± 0.70 / 60.53 ± 0.63	64.84 ± 0.14 / 14.90 ± 0.35	24.39 ± 2.23 / 40.04 ± 1.96	33.37 ± 3.58 / 54.00 ± 2.48	13.98 ± 1.55 / 33.88 ± 1.46	37.36 ± 1.61 / 24.19 ± 1.65	42.83 ± 1.41 / 28.06 ± 1.69	16.02 ± 6.40 / 30.81 ± 5.11	61.93 ± 0.08 / 9.94 ± 0.21	-0.08 ± 0.82 / 33.74 ± 0.41	2.29 ± 1.78 / 35.36 ± 1.11	31.60 ± 1.36 / 56.15 ± 1.66	8.67 ± 0.86 / 29.37 ± 0.97	9.80 ± 1.50 / 30.12 ± 1.06	35.02 ± 2.08 / 17.87 ± 0.89	51.80 ± 4.28 / 57.15 ± 4.66	6.15 ± 0.86 / 36.62 ± 0.84	50.85 ± 0.74 / 60.00 ± 0.48	65.68 ± 0.10 / 16.49 ± 0.10	10.11 ± 1.07 / 28.11 ± 0.93	8.76 ± 1.73 / 27.81 ± 1.22	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct (few-shot)	7111	64	2048	True	1,473 ± 493 / 448 ± 143	3.38	3.37	3.46	3.32	15.35 ± 1.38 / 14.74 ± 1.30	2.85 ± 1.54 / 18.05 ± 0.23	10.99 ± 2.52 / 54.07 ± 1.93	50.51 ± 0.90 / 58.22 ± 0.76	66.38 ± 1.07 / 21.48 ± 1.21	30.90 ± 3.84 / 43.86 ± 4.18	16.81 ± 3.84 / 42.03 ± 2.42	11.08 ± 1.35 / 32.13 ± 1.04	24.67 ± 1.69 / 24.58 ± 1.95	29.03 ± 2.12 / 29.83 ± 2.15	34.39 ± 5.34 / 50.45 ± 6.08	64.07 ± 0.86 / 17.41 ± 0.90	2.42 ± 1.83 / 35.49 ± 2.63	5.11 ± 2.68 / 38.37 ± 3.31	42.52 ± 2.05 / 68.98 ± 2.23	6.89 ± 1.56 / 27.44 ± 1.06	12.81 ± 0.66 / 32.38 ± 0.61	14.58 ± 1.30 / 14.79 ± 1.27	56.60 ± 3.37 / 62.73 ± 3.61	10.92 ± 1.83 / 52.63 ± 2.98	50.18 ± 0.54 / 57.90 ± 0.53	64.89 ± 0.15 / 18.79 ± 0.22	6.16 ± 0.81 / 28.35 ± 0.97	10.90 ± 0.86 / 32.01 ± 0.54	9.2.0	9.2.0	9.2.0	12.4.0	12.6.1	10.0.1	10.0.1	9.2.0	9.2.0	9.2.0	9.2.0	12.4.0	9.2.0	9.2.0	12.4.0	9.2.0	9.3.1	9.2.0	9.2.0	9.2.0	12.4.0	12.4.0	9.2.0	9.3.1
MaLA-LM/emma-500-llama2-7b (few-shot)	6738	32	4096	True	6,275 ± 1,193 / 1,755 ± 578	3.38	3.38	3.64	3.11	28.18 ± 3.39 / 24.25 ± 3.30	29.32 ± 7.19 / 41.08 ± 8.29	2.90 ± 2.18 / 37.93 ± 4.98	56.48 ± 1.11 / 62.92 ± 0.96	53.81 ± 1.18 / 9.42 ± 0.33	27.86 ± 1.78 / 43.42 ± 1.51	34.62 ± 2.93 / 55.21 ± 2.08	4.73 ± 0.61 / 27.77 ± 0.53	36.96 ± 3.10 / 34.68 ± 3.19	39.38 ± 3.30 / 37.06 ± 3.49	32.67 ± 2.52 / 44.37 ± 3.06	51.44 ± 1.23 / 8.37 ± 0.51	2.18 ± 2.36 / 38.05 ± 3.18	5.33 ± 2.97 / 44.30 ± 4.99	45.23 ± 5.03 / 67.75 ± 4.41	9.35 ± 1.27 / 30.22 ± 0.88	4.85 ± 0.63 / 27.55 ± 0.65	41.49 ± 2.82 / 38.09 ± 2.86	75.64 ± 1.51 / 76.06 ± 1.42	0.66 ± 1.97 / 33.73 ± 0.54	57.48 ± 0.54 / 63.85 ± 0.46	55.94 ± 1.10 / 13.29 ± 0.34	10.56 ± 1.14 / 31.45 ± 0.92	5.03 ± 1.36 / 28.41 ± 0.76	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
LumiOpen/Viking-13B (few-shot)	14030	131	4097	True	840 ± 79 / 400 ± 124	3.39	3.14	3.80	3.23	28.60 ± 4.69 / 20.29 ± 3.37	48.71 ± 1.27 / 60.90 ± 2.95	2.30 ± 1.34 / 37.21 ± 2.50	53.85 ± 1.73 / 58.96 ± 1.67	64.05 ± 0.93 / 16.99 ± 1.44	0.55 ± 0.59 / 24.15 ± 0.73	0.00 ± 2.29 / 35.66 ± 1.43	0.36 ± 1.09 / 25.24 ± 0.60	26.76 ± 6.99 / 23.69 ± 3.73	35.38 ± 5.87 / 27.52 ± 3.45	29.22 ± 2.89 / 39.25 ± 1.86	56.69 ± 2.08 / 8.56 ± 1.22	2.58 ± 2.68 / 36.11 ± 2.42	2.79 ± 1.44 / 36.17 ± 1.51	34.41 ± 3.68 / 53.61 ± 4.28	-0.56 ± 0.87 / 21.99 ± 0.62	-0.43 ± 1.02 / 24.54 ± 0.89	31.55 ± 4.67 / 18.37 ± 2.73	78.66 ± 1.03 / 78.34 ± 1.13	5.69 ± 2.24 / 44.98 ± 3.55	52.93 ± 1.30 / 57.87 ± 1.27	60.05 ± 1.20 / 13.94 ± 0.43	1.32 ± 1.02 / 23.28 ± 0.65	0.35 ± 0.66 / 25.33 ± 0.66	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.4	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5
meta-llama/Llama-3.2-1B-Instruct (few-shot)	1236	128	131073	False	7,436 ± 1,846 / 1,508 ± 479	3.40	3.23	3.74	3.23	35.45 ± 2.41 / 30.39 ± 1.72	36.94 ± 1.08 / 49.24 ± 1.41	1.12 ± 2.21 / 44.63 ± 2.92	44.61 ± 0.84 / 53.34 ± 0.63	61.33 ± 1.47 / 15.38 ± 1.23	27.14 ± 1.18 / 43.89 ± 1.09	18.57 ± 1.82 / 46.35 ± 1.18	3.16 ± 0.85 / 26.86 ± 0.87	44.66 ± 0.68 / 41.13 ± 2.11	47.78 ± 1.22 / 44.30 ± 1.57	27.43 ± 1.89 / 42.83 ± 3.08	57.67 ± 1.45 / 10.42 ± 1.07	0.07 ± 1.51 / 34.07 ± 0.78	1.14 ± 1.23 / 33.17 ± 0.47	18.00 ± 3.56 / 39.37 ± 4.69	11.67 ± 1.20 / 33.08 ± 0.94	3.53 ± 1.01 / 26.63 ± 0.86	41.60 ± 2.74 / 37.22 ± 3.26	71.86 ± 2.01 / 71.15 ± 2.16	3.72 ± 1.40 / 48.04 ± 1.96	43.57 ± 1.35 / 52.90 ± 1.42	56.69 ± 0.79 / 13.27 ± 0.37	14.64 ± 0.91 / 35.56 ± 0.80	3.10 ± 0.87 / 26.60 ± 0.68	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
ibm-granite/granite-3b-code-instruct-2k (few-shot)	3483	49	2048	True	9,059 ± 1,947 / 2,201 ± 728	3.43	3.27	3.63	3.40	37.21 ± 2.75 / 27.74 ± 2.59	31.54 ± 2.39 / 50.61 ± 2.88	6.30 ± 1.61 / 49.09 ± 2.54	44.86 ± 0.80 / 51.51 ± 0.91	61.56 ± 0.49 / 13.64 ± 0.97	17.92 ± 1.52 / 37.22 ± 1.29	10.79 ± 2.32 / 40.86 ± 1.85	1.70 ± 1.10 / 26.14 ± 0.76	53.78 ± 2.43 / 49.41 ± 2.56	55.14 ± 1.27 / 51.07 ± 1.78	26.21 ± 1.63 / 43.33 ± 1.46	57.11 ± 1.08 / 10.81 ± 0.52	3.90 ± 1.45 / 43.86 ± 4.21	2.42 ± 1.39 / 41.58 ± 3.89	24.86 ± 1.34 / 45.77 ± 1.85	10.36 ± 1.15 / 29.64 ± 1.06	5.85 ± 1.57 / 27.84 ± 1.21	50.10 ± 4.30 / 42.80 ± 5.47	65.67 ± 3.92 / 64.00 ± 3.84	4.55 ± 2.18 / 45.11 ± 4.32	42.83 ± 1.02 / 49.35 ± 1.09	45.16 ± 0.70 / 11.84 ± 0.27	7.58 ± 0.88 / 28.54 ± 0.85	3.79 ± 0.85 / 27.39 ± 0.57	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	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	3.43	3.19	3.70	3.41	29.49 ± 2.73 / 21.57 ± 2.07	13.77 ± 3.72 / 23.78 ± 3.10	0.00 ± 0.00 / 33.49 ± 0.27	51.53 ± 1.01 / 59.23 ± 0.88	66.31 ± 0.80 / 20.62 ± 0.37	24.59 ± 2.75 / 41.65 ± 2.33	39.09 ± 2.12 / 55.43 ± 2.08	15.60 ± 1.46 / 35.88 ± 1.25	34.78 ± 2.34 / 27.42 ± 1.71	39.00 ± 3.24 / 31.27 ± 2.29	10.69 ± 5.81 / 26.94 ± 3.14	62.73 ± 0.26 / 13.33 ± 0.22	6.17 ± 1.50 / 50.50 ± 1.78	5.90 ± 1.38 / 49.15 ± 2.88	31.25 ± 2.01 / 55.30 ± 2.29	7.97 ± 1.20 / 31.21 ± 0.84	10.39 ± 2.05 / 32.03 ± 1.42	37.17 ± 2.59 / 25.25 ± 1.61	20.20 ± 4.93 / 21.73 ± 5.47	6.13 ± 1.52 / 39.55 ± 1.91	46.66 ± 1.19 / 56.90 ± 1.10	65.28 ± 0.14 / 18.08 ± 0.12	10.89 ± 1.11 / 32.66 ± 0.94	9.20 ± 1.47 / 30.95 ± 1.18	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
HPLT/gpt-33b-nordic-prerelease (few-shot)	33119	131	4099	True	501 ± 50 / 238 ± 69	3.44	3.25	3.77	3.31	25.35 ± 3.59 / 17.77 ± 2.25	44.70 ± 1.80 / 60.56 ± 2.77	1.43 ± 1.60 / 34.16 ± 1.04	52.29 ± 0.96 / 58.32 ± 0.75	62.23 ± 0.78 / 14.60 ± 1.38	-1.01 ± 1.58 / 23.28 ± 1.25	1.33 ± 1.98 / 33.83 ± 1.11	-0.19 ± 0.99 / 25.04 ± 0.66	31.38 ± 5.44 / 24.32 ± 2.75	37.84 ± 4.65 / 29.35 ± 4.10	38.88 ± 4.12 / 54.92 ± 4.66	55.01 ± 1.93 / 8.21 ± 0.98	3.41 ± 2.16 / 35.53 ± 2.75	3.11 ± 1.55 / 39.80 ± 4.20	30.39 ± 2.51 / 51.24 ± 2.87	-1.56 ± 0.62 / 21.86 ± 0.67	0.51 ± 1.35 / 25.31 ± 0.93	33.61 ± 6.02 / 22.18 ± 4.32	76.75 ± 1.17 / 74.66 ± 1.20	1.66 ± 1.36 / 33.60 ± 0.30	50.68 ± 1.94 / 56.96 ± 1.73	56.37 ± 1.71 / 12.78 ± 0.63	-0.31 ± 0.91 / 25.20 ± 0.62	-0.04 ± 0.62 / 25.05 ± 0.50	12.9.1	12.9.1	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.9.1	12.10.0	12.9.1	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0	12.9.1	12.9.1	12.10.0	12.10.0	12.10.0	12.10.0	12.10.0
google/gemma-2b (few-shot)	2506	256	8192	True	6,087 ± 1,046 / 1,902 ± 563	3.44	3.23	3.76	3.32	19.97 ± 3.91 / 16.51 ± 3.20	40.21 ± 1.00 / 46.73 ± 1.82	2.27 ± 2.39 / 38.71 ± 4.03	50.55 ± 1.22 / 56.27 ± 1.09	63.07 ± 1.07 / 16.98 ± 0.98	15.04 ± 1.21 / 35.51 ± 0.80	30.63 ± 3.36 / 50.02 ± 2.13	4.90 ± 0.95 / 28.18 ± 0.88	15.53 ± 5.69 / 15.49 ± 5.08	19.78 ± 4.54 / 18.86 ± 4.22	32.89 ± 1.65 / 42.58 ± 3.16	57.65 ± 2.16 / 10.13 ± 1.30	1.18 ± 1.00 / 33.34 ± 0.26	0.00 ± 0.00 / 32.79 ± 0.34	33.33 ± 3.73 / 53.15 ± 4.42	11.27 ± 1.41 / 32.73 ± 1.25	5.10 ± 1.44 / 28.63 ± 1.05	14.67 ± 4.71 / 14.85 ± 3.77	75.45 ± 1.10 / 64.08 ± 1.47	3.82 ± 1.23 / 44.81 ± 3.55	51.73 ± 0.88 / 57.35 ± 0.82	59.72 ± 1.46 / 15.26 ± 0.64	10.98 ± 0.98 / 31.92 ± 0.80	4.24 ± 0.47 / 27.53 ± 0.44	12.5.2	12.1.0	12.1.0	12.1.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.5.2	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0
ibm-granite/granite-3.0-3b-a800m-base (few-shot)	3374	49	4096	True	10,504 ± 3,028 / 1,678 ± 559	3.45	3.44	3.63	3.28	31.80 ± 2.87 / 23.06 ± 2.09	6.85 ± 2.25 / 19.42 ± 0.91	0.97 ± 1.10 / 36.48 ± 3.91	49.83 ± 1.73 / 55.19 ± 1.84	63.43 ± 0.90 / 16.85 ± 1.02	15.97 ± 1.54 / 36.37 ± 1.08	17.19 ± 2.72 / 45.23 ± 1.84	3.07 ± 0.91 / 27.05 ± 0.83	40.08 ± 2.60 / 33.17 ± 1.81	43.96 ± 1.65 / 32.96 ± 2.24	31.90 ± 1.50 / 53.03 ± 1.81	59.98 ± 1.54 / 11.97 ± 1.13	-0.07 ± 0.97 / 35.01 ± 1.42	1.27 ± 2.35 / 38.10 ± 4.51	23.32 ± 2.39 / 43.13 ± 3.33	11.78 ± 1.09 / 33.75 ± 0.93	5.48 ± 1.23 / 28.09 ± 1.29	36.01 ± 3.07 / 24.61 ± 4.22	57.18 ± 5.33 / 62.72 ± 5.30	1.52 ± 2.14 / 38.30 ± 3.62	51.04 ± 0.95 / 56.97 ± 0.96	58.57 ± 0.73 / 15.09 ± 0.29	13.42 ± 0.96 / 34.81 ± 0.72	7.33 ± 1.70 / 29.31 ± 1.45	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
utter-project/EuroLLM-1.7B-Instruct (few-shot)	1657	128	4096	True	15,009 ± 4,072 / 2,702 ± 878	3.45	3.30	3.73	3.31	19.61 ± 2.68 / 17.44 ± 2.64	37.92 ± 1.74 / 46.23 ± 1.91	2.81 ± 1.13 / 38.15 ± 2.81	50.05 ± 1.02 / 56.82 ± 0.77	63.91 ± 1.29 / 18.26 ± 1.57	2.54 ± 1.89 / 25.25 ± 1.06	17.85 ± 2.63 / 40.98 ± 1.12	0.52 ± 0.97 / 25.60 ± 0.68	31.43 ± 1.78 / 30.82 ± 2.35	36.92 ± 1.75 / 37.80 ± 1.67	30.63 ± 1.48 / 37.24 ± 1.90	59.45 ± 1.98 / 10.85 ± 1.59	0.98 ± 1.59 / 42.00 ± 2.28	1.67 ± 1.96 / 34.92 ± 1.93	33.24 ± 2.51 / 55.11 ± 2.82	1.85 ± 1.02 / 24.15 ± 0.66	-1.18 ± 1.33 / 24.23 ± 0.94	27.41 ± 2.70 / 24.45 ± 3.82	72.24 ± 0.82 / 68.89 ± 2.63	0.13 ± 1.85 / 36.22 ± 3.14	49.77 ± 0.63 / 56.59 ± 0.54	63.23 ± 0.51 / 17.40 ± 0.45	3.39 ± 0.48 / 25.11 ± 0.71	0.54 ± 0.72 / 25.45 ± 0.45	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
stabilityai/stablelm-2-1_6b (few-shot)	1645	100	4096	True	7,259 ± 2,120 / 1,240 ± 432	3.47	3.33	3.82	3.25	28.45 ± 1.61 / 22.90 ± 1.63	39.09 ± 1.15 / 45.25 ± 0.82	1.43 ± 1.26 / 37.98 ± 2.74	51.67 ± 2.31 / 57.34 ± 2.60	57.67 ± 0.91 / 11.58 ± 0.72	11.94 ± 1.37 / 32.30 ± 0.94	18.18 ± 2.76 / 45.98 ± 1.68	2.67 ± 1.70 / 26.59 ± 1.10	41.64 ± 3.64 / 39.43 ± 3.55	42.37 ± 3.13 / 40.79 ± 3.10	33.71 ± 2.57 / 55.00 ± 1.41	49.22 ± 1.24 / 6.32 ± 0.45	-0.19 ± 0.77 / 33.29 ± 0.30	-0.01 ± 1.25 / 34.51 ± 2.09	30.14 ± 2.44 / 50.96 ± 3.46	6.67 ± 0.74 / 28.30 ± 0.55	3.50 ± 1.56 / 26.82 ± 1.38	38.00 ± 4.39 / 29.74 ± 5.04	75.15 ± 0.55 / 61.46 ± 0.82	1.04 ± 2.08 / 34.49 ± 1.17	53.11 ± 0.53 / 58.91 ± 0.32	55.63 ± 1.02 / 13.45 ± 0.61	8.72 ± 0.93 / 30.92 ± 0.72	3.19 ± 0.62 / 26.88 ± 0.62	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8	12.10.8
AI-Sweden-Models/gpt-sw3-1.3b-instruct (few-shot)	1445	64	2048	True	4,544 ± 1,000 / 1,106 ± 359	3.49	3.47	3.61	3.38	14.73 ± 1.84 / 14.44 ± 1.74	27.14 ± 1.93 / 42.34 ± 2.51	2.65 ± 1.66 / 40.63 ± 4.02	46.38 ± 0.61 / 54.18 ± 0.52	65.48 ± 0.73 / 19.58 ± 1.08	0.32 ± 0.71 / 23.38 ± 0.86	7.00 ± 3.44 / 37.91 ± 1.85	0.13 ± 0.25 / 25.04 ± 0.54	33.08 ± 2.22 / 34.51 ± 2.24	38.28 ± 2.63 / 40.50 ± 2.72	35.58 ± 2.13 / 44.49 ± 2.52	63.11 ± 0.71 / 15.22 ± 1.02	0.82 ± 1.46 / 34.78 ± 1.54	1.43 ± 1.70 / 34.19 ± 1.10	36.06 ± 1.76 / 58.71 ± 1.63	-0.68 ± 1.21 / 24.35 ± 0.73	-0.32 ± 0.44 / 24.50 ± 0.55	19.04 ± 2.67 / 19.98 ± 2.64	73.34 ± 1.34 / 68.41 ± 2.31	2.90 ± 1.74 / 44.43 ± 4.49	47.45 ± 0.58 / 54.69 ± 0.56	63.33 ± 0.86 / 17.11 ± 0.61	0.65 ± 1.12 / 25.94 ± 0.76	-0.18 ± 0.36 / 24.70 ± 0.60	12.5.2	9.3.1	12.1.0	12.4.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	9.3.1	12.4.0	12.1.0	12.1.0	12.4.0	12.1.0	12.1.0	12.5.2	9.3.1	12.1.0	12.4.0	12.4.0	12.1.0	12.1.0
ibm-granite/granite-7b-base (few-shot)	6738	32	2048	True	4,405 ± 1,098 / 1,032 ± 345	3.50	3.27	3.90	3.33	24.93 ± 4.36 / 22.23 ± 3.32	31.65 ± 2.94 / 51.95 ± 2.92	0.06 ± 1.20 / 34.30 ± 1.04	51.47 ± 1.82 / 57.00 ± 1.94	62.67 ± 1.16 / 17.33 ± 1.12	16.13 ± 2.67 / 36.80 ± 2.07	24.21 ± 2.83 / 49.43 ± 1.98	1.27 ± 0.82 / 25.59 ± 0.52	32.21 ± 1.63 / 31.19 ± 1.29	36.62 ± 1.94 / 36.40 ± 2.17	16.98 ± 3.42 / 27.01 ± 3.17	55.91 ± 2.53 / 9.21 ± 1.23	1.57 ± 1.20 / 41.68 ± 4.20	0.97 ± 1.79 / 40.10 ± 4.50	26.28 ± 1.51 / 44.62 ± 2.11	8.41 ± 1.26 / 29.77 ± 1.22	2.47 ± 1.34 / 26.33 ± 1.07	33.34 ± 3.41 / 30.50 ± 3.44	72.00 ± 1.15 / 69.12 ± 2.00	0.25 ± 1.72 / 43.46 ± 3.96	52.53 ± 1.03 / 57.96 ± 0.98	52.86 ± 1.75 / 11.38 ± 0.57	11.71 ± 0.83 / 32.71 ± 0.95	0.81 ± 0.88 / 25.27 ± 0.59	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.8	12.10.8	12.10.8	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.8	12.10.8	12.10.5	12.10.5	12.10.5	12.10.5	12.10.8	12.10.8	12.10.8
ibm-granite/granite-7b-instruct (few-shot)	6738	32	4096	True	3,136 ± 558 / 942 ± 290	3.50	3.37	3.74	3.39	23.87 ± 1.61 / 20.19 ± 1.60	31.21 ± 1.84 / 50.13 ± 2.79	2.04 ± 1.44 / 45.31 ± 3.73	47.36 ± 0.81 / 54.08 ± 0.86	62.33 ± 0.49 / 16.36 ± 0.61	17.68 ± 1.52 / 37.53 ± 1.55	17.54 ± 2.35 / 45.41 ± 1.72	1.72 ± 1.01 / 25.87 ± 0.82	37.73 ± 2.53 / 31.57 ± 3.65	40.07 ± 1.68 / 35.25 ± 2.70	21.50 ± 2.19 / 36.73 ± 3.30	59.05 ± 0.69 / 11.70 ± 0.58	0.86 ± 1.18 / 44.09 ± 2.96	2.01 ± 1.11 / 41.46 ± 3.24	27.03 ± 1.40 / 48.70 ± 1.69	9.41 ± 1.33 / 30.90 ± 1.02	7.04 ± 1.65 / 29.08 ± 1.51	29.08 ± 2.82 / 25.68 ± 3.52	65.51 ± 1.71 / 69.73 ± 1.24	0.50 ± 1.34 / 45.71 ± 2.55	46.52 ± 0.88 / 54.03 ± 0.77	56.02 ± 4.77 / 14.46 ± 1.28	8.00 ± 0.88 / 30.22 ± 0.72	5.76 ± 1.24 / 28.68 ± 1.21	13.2.0	13.0.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.0.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.0.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0
NorwAI/NorwAI-Mistral-7B-instruct (few-shot)	7537	68	4096	False	3,027 ± 503 / 903 ± 296	3.51	3.35	3.75	3.43	13.78 ± 2.85 / 11.90 ± 2.13	42.16 ± 0.68 / 45.21 ± 0.45	3.52 ± 1.90 / 39.81 ± 3.18	20.02 ± 2.31 / 31.67 ± 2.19	65.03 ± 0.55 / 18.00 ± 0.59	40.74 ± 1.91 / 53.17 ± 1.96	43.43 ± 1.76 / 61.76 ± 1.32	4.50 ± 0.94 / 26.55 ± 0.96	27.49 ± 2.13 / 24.26 ± 1.41	32.33 ± 2.92 / 29.29 ± 2.05	47.78 ± 3.12 / 64.33 ± 2.80	62.75 ± 0.25 / 13.28 ± 0.27	3.92 ± 1.56 / 45.78 ± 2.36	4.27 ± 2.44 / 42.86 ± 3.51	2.46 ± 0.73 / 29.01 ± 1.18	8.41 ± 0.77 / 32.09 ± 0.44	2.92 ± 1.61 / 25.82 ± 0.79	20.97 ± 2.51 / 16.21 ± 2.03	77.76 ± 0.75 / 67.99 ± 2.31	2.35 ± 1.63 / 38.48 ± 1.53	28.65 ± 2.11 / 38.84 ± 1.85	63.75 ± 0.70 / 17.94 ± 0.22	9.17 ± 0.61 / 31.89 ± 0.41	3.98 ± 1.37 / 26.35 ± 1.13	12.10.5	12.10.4	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.4	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5
ibm-granite/granite-3b-code-base-2k (few-shot)	3483	49	2048	True	2,732 ± 868 / 662 ± 238	3.52	3.15	4.00	3.40	38.62 ± 3.40 / 27.71 ± 3.01	35.47 ± 1.35 / 52.70 ± 2.05	5.07 ± 1.76 / 43.91 ± 4.86	45.21 ± 0.84 / 50.96 ± 0.94	62.50 ± 0.59 / 15.45 ± 0.50	13.46 ± 2.03 / 33.24 ± 1.59	15.31 ± 3.62 / 43.65 ± 2.19	6.00 ± 1.15 / 29.24 ± 0.76	53.93 ± 3.93 / 48.95 ± 4.17	54.04 ± 1.83 / 49.74 ± 2.48	23.83 ± 3.47 / 45.39 ± 3.46	50.59 ± 3.68 / 7.28 ± 1.97	3.91 ± 1.46 / 42.54 ± 4.53	1.55 ± 2.39 / 40.63 ± 4.26	2.37 ± 0.20 / 12.14 ± 1.07	8.68 ± 1.17 / 31.15 ± 0.84	6.19 ± 0.85 / 29.29 ± 0.77	51.76 ± 4.53 / 41.73 ± 6.65	70.61 ± 1.12 / 60.47 ± 1.13	6.24 ± 3.11 / 46.34 ± 5.43	44.67 ± 1.34 / 50.56 ± 1.33	41.31 ± 2.13 / 7.20 ± 1.44	7.41 ± 0.75 / 30.14 ± 0.39	5.42 ± 0.79 / 29.15 ± 0.59	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	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	3.36	3.88	3.36	23.98 ± 3.74 / 17.18 ± 2.86	38.74 ± 2.15 / 49.48 ± 3.14	1.04 ± 1.57 / 33.67 ± 0.22	50.17 ± 0.92 / 56.29 ± 0.78	61.96 ± 0.87 / 13.71 ± 1.26	-0.06 ± 0.90 / 23.97 ± 0.72	-1.04 ± 2.16 / 34.90 ± 1.48	0.73 ± 0.90 / 25.11 ± 0.51	22.37 ± 5.96 / 23.75 ± 3.97	29.90 ± 4.44 / 26.84 ± 3.45	35.86 ± 3.52 / 52.28 ± 3.76	53.25 ± 1.69 / 6.87 ± 0.67	1.03 ± 2.07 / 36.12 ± 2.97	2.92 ± 1.89 / 36.47 ± 2.72	34.39 ± 3.15 / 54.65 ± 3.56	-1.16 ± 0.91 / 21.94 ± 0.46	-0.55 ± 1.14 / 25.09 ± 0.85	30.64 ± 4.19 / 23.90 ± 3.44	72.02 ± 3.18 / 72.36 ± 3.96	1.08 ± 1.36 / 38.63 ± 3.03	48.72 ± 1.05 / 54.59 ± 1.10	57.93 ± 2.32 / 13.16 ± 1.05	1.14 ± 0.79 / 22.39 ± 0.53	1.13 ± 1.01 / 25.61 ± 0.65	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
HPLT/gpt-13b-nordic-prerelease (few-shot)	14030	131	4099	True	3,520 ± 736 / 823 ± 273	3.54	3.30	3.96	3.36	28.72 ± 2.61 / 20.53 ± 2.46	37.19 ± 3.92 / 53.63 ± 4.06	2.96 ± 1.73 / 46.67 ± 3.16	49.53 ± 1.49 / 54.83 ± 1.67	61.62 ± 1.05 / 14.33 ± 1.71	1.17 ± 2.28 / 24.76 ± 1.52	11.38 ± 3.80 / 38.52 ± 1.85	-0.16 ± 1.02 / 25.19 ± 0.70	28.94 ± 5.63 / 27.01 ± 4.91	33.83 ± 5.52 / 30.49 ± 4.07	27.32 ± 3.13 / 38.30 ± 2.19	54.05 ± 2.19 / 7.52 ± 0.86	1.46 ± 1.07 / 49.06 ± 1.04	-0.59 ± 1.36 / 45.94 ± 2.35	25.62 ± 4.99 / 40.88 ± 7.54	0.32 ± 0.70 / 24.79 ± 0.56	0.92 ± 1.02 / 25.43 ± 0.83	32.19 ± 4.64 / 24.93 ± 4.09	72.26 ± 6.90 / 72.58 ± 5.87	2.39 ± 1.29 / 48.49 ± 2.46	48.92 ± 2.28 / 53.44 ± 2.49	57.46 ± 1.64 / 13.21 ± 0.57	-0.49 ± 0.50 / 25.03 ± 0.45	0.50 ± 1.04 / 25.50 ± 0.72	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1	12.6.1
AI-Sweden-Models/gpt-sw3-6.7b (few-shot)	7111	64	2048	True	2,285 ± 443 / 671 ± 205	3.58	3.44	3.81	3.50	18.23 ± 5.87 / 14.77 ± 3.36	22.71 ± 5.21 / 35.11 ± 6.59	5.03 ± 2.51 / 49.00 ± 2.64	49.11 ± 1.16 / 55.56 ± 1.21	64.58 ± 1.03 / 18.26 ± 1.00	1.11 ± 2.19 / 24.85 ± 1.14	8.76 ± 3.09 / 37.32 ± 1.76	1.70 ± 0.84 / 26.17 ± 0.62	22.35 ± 7.84 / 23.89 ± 4.74	21.98 ± 7.52 / 27.22 ± 4.97	18.23 ± 9.28 / 38.93 ± 6.44	60.38 ± 1.78 / 12.50 ± 1.62	1.68 ± 1.35 / 39.93 ± 2.78	2.49 ± 1.88 / 40.26 ± 3.23	41.80 ± 3.14 / 64.25 ± 3.13	2.13 ± 0.65 / 26.47 ± 0.86	0.98 ± 1.48 / 25.66 ± 1.09	18.83 ± 6.41 / 17.59 ± 4.55	53.68 ± 10.39 / 58.92 ± 10.87	3.49 ± 2.20 / 46.13 ± 4.13	49.81 ± 0.70 / 55.99 ± 0.69	61.05 ± 1.33 / 15.89 ± 0.85	1.22 ± 0.65 / 26.19 ± 0.64	0.60 ± 1.34 / 25.62 ± 0.72	11.0.0	11.0.0	11.0.0	11.0.0	12.6.1	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0
HuggingFaceTB/SmolLM2-1.7B-Instruct (few-shot)	1711	49	8192	True	15,971 ± 3,654 / 3,609 ± 1,197	3.61	3.44	4.01	3.37	29.44 ± 1.81 / 20.31 ± 1.68	18.49 ± 2.47 / 35.29 ± 2.83	1.73 ± 1.63 / 38.18 ± 4.15	44.39 ± 0.80 / 50.40 ± 1.02	61.76 ± 1.10 / 15.33 ± 1.17	22.03 ± 1.83 / 37.29 ± 1.77	12.61 ± 2.43 / 41.82 ± 1.61	2.06 ± 0.89 / 26.03 ± 0.67	37.60 ± 2.17 / 29.30 ± 2.43	38.38 ± 2.48 / 30.13 ± 2.95	24.05 ± 3.58 / 40.36 ± 4.22	48.55 ± 6.18 / 8.21 ± 1.30	3.56 ± 1.93 / 38.60 ± 3.52	2.61 ± 2.57 / 38.57 ± 3.89	13.58 ± 3.16 / 25.34 ± 5.83	9.52 ± 1.13 / 30.72 ± 1.12	3.62 ± 1.22 / 27.07 ± 1.15	37.37 ± 1.87 / 26.31 ± 3.34	64.46 ± 3.06 / 69.83 ± 2.00	4.49 ± 1.96 / 46.63 ± 4.39	43.92 ± 1.06 / 49.57 ± 1.17	54.50 ± 1.26 / 12.92 ± 0.48	8.61 ± 1.25 / 29.95 ± 1.28	4.51 ± 0.96 / 27.64 ± 0.87	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
HuggingFaceTB/SmolLM2-1.7B (few-shot)	1711	49	8192	True	16,249 ± 3,690 / 3,689 ± 1,226	3.64	3.59	3.99	3.33	24.47 ± 3.42 / 18.70 ± 2.18	9.93 ± 2.70 / 23.57 ± 3.00	1.22 ± 1.81 / 35.31 ± 1.93	42.09 ± 2.63 / 47.54 ± 2.94	61.62 ± 0.72 / 14.36 ± 0.73	19.65 ± 1.47 / 36.46 ± 1.24	19.01 ± 2.56 / 46.27 ± 1.71	1.34 ± 1.16 / 25.88 ± 0.65	26.70 ± 4.42 / 24.56 ± 2.10	28.23 ± 3.78 / 28.27 ± 2.80	23.25 ± 4.16 / 36.07 ± 4.20	56.31 ± 2.34 / 9.78 ± 0.93	-0.47 ± 1.05 / 33.93 ± 0.92	0.26 ± 0.74 / 33.32 ± 0.79	13.40 ± 2.83 / 26.51 ± 4.94	11.12 ± 0.88 / 33.35 ± 0.75	2.53 ± 0.82 / 26.29 ± 0.74	35.96 ± 3.50 / 26.41 ± 4.11	68.31 ± 1.43 / 72.51 ± 1.03	3.61 ± 1.79 / 49.47 ± 1.68	43.26 ± 1.85 / 49.32 ± 1.97	57.04 ± 0.95 / 13.24 ± 1.09	10.86 ± 1.20 / 31.65 ± 1.09	2.53 ± 0.98 / 26.17 ± 0.78	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
google/gemma-2b-it (few-shot)	2506	256	8192	False	6,471 ± 1,142 / 1,961 ± 584	3.65	3.40	3.75	3.81	24.44 ± 2.59 / 17.37 ± 2.03	34.03 ± 2.50 / 52.42 ± 2.16	2.25 ± 1.28 / 42.33 ± 3.11	42.12 ± 1.18 / 49.76 ± 1.22	62.41 ± 1.21 / 17.66 ± 0.54	15.16 ± 1.35 / 31.61 ± 1.92	12.67 ± 1.89 / 41.99 ± 1.17	2.67 ± 1.17 / 26.82 ± 0.69	39.78 ± 2.67 / 31.15 ± 2.70	43.58 ± 2.49 / 36.60 ± 2.76	22.01 ± 3.00 / 40.48 ± 2.81	55.43 ± 4.07 / 11.54 ± 0.87	2.76 ± 1.35 / 44.34 ± 3.05	1.45 ± 1.35 / 39.55 ± 3.53	32.42 ± 1.72 / 56.65 ± 0.92	7.68 ± 0.87 / 29.15 ± 0.61	1.06 ± 1.38 / 25.48 ± 1.00	33.51 ± 2.12 / 23.48 ± 2.69	43.97 ± 1.64 / 57.41 ± 1.18	0.53 ± 1.09 / 39.60 ± 1.99	39.39 ± 1.04 / 47.28 ± 1.02	40.55 ± 6.41 / 11.10 ± 1.63	11.06 ± 0.98 / 31.69 ± 0.81	1.03 ± 0.85 / 25.55 ± 0.60	12.5.2	12.1.0	12.1.0	12.4.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	12.1.0	12.4.0	12.1.0	12.1.0	12.4.0	12.1.0	12.1.0	12.5.2	12.1.0	12.1.0	12.4.0	12.4.0	12.1.0	12.1.0
meta-llama/Llama-3.2-1B (few-shot)	1236	128	131073	True	7,577 ± 1,884 / 1,555 ± 492	3.65	3.52	3.98	3.46	19.82 ± 4.70 / 17.20 ± 3.57	35.97 ± 3.00 / 49.88 ± 3.80	2.14 ± 2.61 / 44.16 ± 4.48	46.59 ± 5.44 / 51.92 ± 6.14	58.65 ± 1.07 / 11.57 ± 0.77	2.65 ± 1.26 / 25.17 ± 1.16	9.51 ± 2.67 / 40.41 ± 1.62	-0.88 ± 1.13 / 24.79 ± 0.98	30.54 ± 3.75 / 29.88 ± 3.25	31.34 ± 4.72 / 30.46 ± 4.56	29.50 ± 4.18 / 49.19 ± 4.59	53.31 ± 0.98 / 7.37 ± 0.54	-0.13 ± 1.28 / 37.46 ± 3.25	0.02 ± 1.75 / 39.49 ± 4.41	19.59 ± 5.61 / 34.02 ± 8.33	2.49 ± 1.09 / 25.63 ± 0.78	2.53 ± 1.16 / 26.30 ± 0.82	29.89 ± 7.13 / 27.65 ± 6.45	74.33 ± 1.07 / 73.73 ± 1.77	1.06 ± 1.79 / 43.95 ± 3.08	46.89 ± 2.72 / 52.70 ± 3.39	52.06 ± 2.11 / 12.53 ± 0.81	0.93 ± 1.44 / 26.10 ± 1.04	0.09 ± 1.37 / 24.84 ± 0.69	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
AI-Sweden-Models/gpt-sw3-1.3b (few-shot)	1445	64	2048	True	4,608 ± 988 / 1,115 ± 354	3.66	3.58	3.89	3.52	8.80 ± 5.54 / 8.63 ± 4.48	28.65 ± 2.81 / 47.83 ± 3.55	2.84 ± 1.81 / 49.21 ± 1.95	45.34 ± 0.88 / 51.59 ± 0.80	62.17 ± 1.12 / 14.96 ± 1.16	-1.31 ± 1.31 / 24.58 ± 0.99	3.02 ± 3.77 / 36.58 ± 2.16	-0.33 ± 1.17 / 24.65 ± 0.48	13.49 ± 7.98 / 14.80 ± 7.68	14.74 ± 8.45 / 15.09 ± 7.85	27.28 ± 4.39 / 49.18 ± 4.23	58.46 ± 2.59 / 11.38 ± 1.45	3.09 ± 0.79 / 42.87 ± 3.49	1.86 ± 1.90 / 38.18 ± 1.44	34.91 ± 2.65 / 54.30 ± 2.96	-0.01 ± 0.86 / 24.32 ± 0.81	0.25 ± 0.94 / 25.10 ± 0.81	6.08 ± 5.75 / 8.77 ± 4.46	71.38 ± 1.76 / 73.21 ± 1.18	1.17 ± 1.07 / 49.78 ± 0.86	45.55 ± 0.85 / 51.69 ± 0.79	60.11 ± 1.59 / 15.02 ± 0.84	2.20 ± 0.88 / 25.62 ± 0.86	0.67 ± 1.39 / 25.25 ± 0.51	9.3.1	9.3.1	9.3.1	12.5.1	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	11.0.0	9.3.1	9.3.1	12.5.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.1	11.0.0	9.3.1	9.3.1
mhenrichsen/danskgpt-tiny-chat (few-shot)	1100	32	2048	False	1,745 ± 978 / 686 ± 159	3.66	3.39	3.91	3.67	22.31 ± 2.55 / 19.30 ± 2.14	34.05 ± 2.37 / 52.43 ± 2.46	0.70 ± 1.11 / 40.47 ± 3.04	41.82 ± 2.07 / 48.91 ± 2.47	65.27 ± 0.25 / 17.79 ± 0.40	6.27 ± 1.52 / 27.63 ± 1.15	6.25 ± 3.25 / 37.75 ± 2.53	2.11 ± 1.44 / 26.00 ± 0.86	28.74 ± 4.18 / 28.29 ± 4.37	30.34 ± 6.08 / 30.02 ± 6.42	27.49 ± 3.13 / 48.00 ± 3.89	60.01 ± 0.81 / 9.76 ± 0.87	-2.17 ± 1.06 / 33.52 ± 0.37	0.26 ± 1.08 / 34.12 ± 0.45	19.10 ± 2.33 / 38.96 ± 2.78	3.21 ± 0.87 / 27.07 ± 0.74	0.18 ± 1.02 / 25.00 ± 0.86	27.31 ± 4.23 / 26.33 ± 4.40	45.94 ± 12.82 / 55.94 ± 8.25	-0.97 ± 1.64 / 36.69 ± 2.34	35.57 ± 2.45 / 41.66 ± 2.41	55.79 ± 0.24 / 10.61 ± 0.29	0.14 ± 1.02 / 24.76 ± 0.75	0.52 ± 0.83 / 25.53 ± 0.62	9.1.2	9.1.2	9.1.2	12.4.0	12.6.1	10.0.1	10.0.1	9.1.2	9.1.2	9.1.2	9.1.2	12.4.0	9.1.2	9.1.2	12.4.0	9.1.2	9.1.2	9.1.2	9.1.2	9.1.2	12.4.0	12.4.0	9.1.2	9.1.2
NbAiLab/nb-llama-3.1-8B-Instruct (few-shot)	8030	128	131072	True	1,296 ± 335 / 246 ± 84	3.68	3.45	4.08	3.52	21.87 ± 4.65 / 18.10 ± 3.46	24.82 ± 6.87 / 35.81 ± 5.98	2.89 ± 2.02 / 41.50 ± 4.74	44.86 ± 1.12 / 52.94 ± 1.18	63.20 ± 1.64 / 15.14 ± 2.30	-0.22 ± 1.17 / 23.41 ± 0.46	7.84 ± 5.61 / 30.02 ± 10.68	0.81 ± 1.19 / 25.18 ± 0.81	31.65 ± 4.34 / 29.36 ± 4.02	31.54 ± 4.82 / 29.54 ± 3.81	10.64 ± 5.92 / 21.52 ± 5.77	60.02 ± 1.29 / 10.50 ± 1.47	1.81 ± 1.27 / 35.34 ± 1.90	1.72 ± 1.20 / 33.81 ± 0.41	16.32 ± 7.40 / 32.61 ± 10.34	0.61 ± 0.88 / 24.61 ± 1.43	-1.40 ± 1.42 / 24.08 ± 0.80	32.54 ± 4.81 / 26.20 ± 4.00	43.55 ± 16.01 / 46.98 ± 12.54	1.93 ± 1.31 / 42.44 ± 4.14	44.80 ± 1.75 / 51.57 ± 1.61	62.67 ± 1.26 / 15.84 ± 1.09	0.13 ± 1.44 / 22.69 ± 1.05	-0.18 ± 1.39 / 24.65 ± 0.77	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4
AI-Sweden-Models/gpt-sw3-356m-instruct (few-shot)	471	64	2048	True	5,855 ± 1,373 / 1,223 ± 391	3.71	3.56	3.89	3.68	11.28 ± 0.96 / 11.02 ± 0.85	34.94 ± 3.80 / 49.66 ± 3.96	2.08 ± 1.48 / 45.41 ± 3.83	36.59 ± 1.41 / 42.03 ± 1.44	63.38 ± 0.84 / 15.95 ± 1.16	-0.09 ± 1.02 / 23.32 ± 0.76	-0.76 ± 3.27 / 35.04 ± 1.77	0.28 ± 0.39 / 25.19 ± 0.77	24.38 ± 2.13 / 25.79 ± 2.29	31.28 ± 1.60 / 33.48 ± 1.60	30.88 ± 2.75 / 46.07 ± 3.07	60.73 ± 0.70 / 11.71 ± 0.76	-0.30 ± 1.46 / 34.93 ± 1.25	0.45 ± 0.57 / 33.74 ± 1.25	23.99 ± 1.59 / 42.69 ± 1.94	-1.01 ± 1.09 / 21.90 ± 0.67	-0.50 ± 0.67 / 25.00 ± 0.86	14.84 ± 1.63 / 15.90 ± 1.71	59.00 ± 3.60 / 54.09 ± 1.46	0.06 ± 1.21 / 34.76 ± 1.15	34.37 ± 1.36 / 40.44 ± 1.53	61.28 ± 0.92 / 14.60 ± 0.79	0.48 ± 1.07 / 23.44 ± 0.67	0.33 ± 0.50 / 25.01 ± 0.76	12.5.2	9.3.2	12.1.0	12.4.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	9.3.2	12.4.0	12.1.0	12.1.0	12.4.0	12.1.0	12.1.0	12.5.2	9.3.2	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	3.71	3.60	4.05	3.48	18.00 ± 2.52 / 14.88 ± 1.68	26.58 ± 2.81 / 45.88 ± 3.40	0.63 ± 1.48 / 33.42 ± 0.28	41.66 ± 1.48 / 49.40 ± 1.53	57.19 ± 1.18 / 11.87 ± 0.68	22.17 ± 1.31 / 39.97 ± 1.18	12.85 ± 3.11 / 42.13 ± 2.09	7.01 ± 0.62 / 30.16 ± 0.46	26.99 ± 3.92 / 24.61 ± 2.74	25.74 ± 3.76 / 24.51 ± 2.96	19.85 ± 1.97 / 35.75 ± 1.74	55.08 ± 0.83 / 8.11 ± 0.35	1.96 ± 1.33 / 44.22 ± 2.93	-0.01 ± 1.39 / 39.57 ± 2.97	16.33 ± 2.17 / 31.16 ± 3.40	7.79 ± 0.78 / 29.50 ± 0.61	5.61 ± 1.32 / 28.45 ± 1.02	20.94 ± 3.73 / 18.26 ± 2.84	52.54 ± 3.33 / 60.44 ± 3.13	0.34 ± 1.22 / 36.61 ± 1.57	43.55 ± 1.14 / 50.53 ± 1.40	61.19 ± 0.69 / 15.92 ± 0.24	10.74 ± 0.92 / 32.65 ± 0.68	4.83 ± 0.62 / 28.76 ± 0.55	12.5.2	11.0.0	12.1.0	12.5.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	11.0.0	12.5.0	12.1.0	12.1.0	12.5.0	12.1.0	12.1.0	12.5.2	11.0.0	12.1.0	12.5.0	12.5.0	12.1.0	12.1.0
HPLT/gpt-7b-nordic-prerelease (few-shot)	7550	131	4096	True	1,382 ± 337 / 257 ± 91	3.75	3.52	4.19	3.53	21.98 ± 3.33 / 18.42 ± 2.62	37.77 ± 3.06 / 55.35 ± 4.51	1.26 ± 1.86 / 34.03 ± 0.86	46.03 ± 1.44 / 52.54 ± 1.95	58.21 ± 1.54 / 11.61 ± 1.16	0.00 ± 0.00 / 24.00 ± 0.73	-0.87 ± 1.27 / 35.70 ± 1.49	0.00 ± 0.00 / 25.18 ± 0.77	20.25 ± 6.26 / 20.45 ± 5.54	28.99 ± 5.03 / 27.50 ± 4.36	17.44 ± 3.49 / 35.51 ± 4.10	49.59 ± 1.68 / 5.67 ± 0.54	3.20 ± 1.84 / 34.58 ± 0.97	2.61 ± 1.80 / 34.49 ± 1.46	21.50 ± 2.60 / 40.73 ± 3.86	0.86 ± 0.91 / 21.96 ± 0.54	0.00 ± 0.00 / 25.02 ± 0.87	27.07 ± 6.33 / 25.24 ± 4.89	61.96 ± 2.69 / 67.81 ± 2.27	2.65 ± 1.46 / 40.25 ± 4.08	46.16 ± 0.91 / 52.35 ± 0.87	55.11 ± 1.21 / 12.07 ± 0.32	0.32 ± 0.43 / 21.99 ± 0.56	-0.00 ± 0.01 / 25.00 ± 0.77	12.5.2	12.3.2	12.3.2	12.3.2	12.6.1	12.3.2	12.3.2	12.3.2	12.5.2	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.5.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2	12.3.2
Qwen/Qwen1.5-1.8B (few-shot)	1837	152	32768	True	5,666 ± 1,328 / 1,256 ± 408	3.76	3.63	4.09	3.56	9.83 ± 3.50 / 8.97 ± 2.64	29.03 ± 2.48 / 46.75 ± 3.69	0.56 ± 0.87 / 33.34 ± 0.23	46.43 ± 0.74 / 53.20 ± 0.47	56.43 ± 1.74 / 11.67 ± 1.17	14.86 ± 1.85 / 33.52 ± 1.63	17.56 ± 2.63 / 45.31 ± 1.78	4.78 ± 1.48 / 27.73 ± 1.32	12.10 ± 5.58 / 12.85 ± 4.80	13.42 ± 6.02 / 13.82 ± 5.16	22.82 ± 3.11 / 43.88 ± 3.10	54.48 ± 1.91 / 8.22 ± 0.70	2.70 ± 2.16 / 47.68 ± 3.18	2.21 ± 1.46 / 42.80 ± 4.36	16.31 ± 2.22 / 30.78 ± 3.64	9.57 ± 1.11 / 30.18 ± 0.83	6.02 ± 0.84 / 28.58 ± 1.13	18.01 ± 6.41 / 18.55 ± 4.65	51.91 ± 4.78 / 59.44 ± 4.65	1.49 ± 1.95 / 40.76 ± 4.07	44.83 ± 0.63 / 51.87 ± 0.72	54.82 ± 1.62 / 14.43 ± 0.68	11.54 ± 0.73 / 32.55 ± 0.60	7.19 ± 1.40 / 29.76 ± 1.22	12.5.2	10.0.1	12.1.0	12.1.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	10.0.1	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.5.2	10.0.1	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0
ibm-granite/granite-3.0-1b-a400m-instruct (few-shot)	1335	49	4096	True	7,964 ± 2,255 / 1,299 ± 433	3.76	3.61	4.11	3.55	30.63 ± 2.60 / 20.55 ± 1.52	22.35 ± 2.26 / 44.97 ± 2.66	1.95 ± 1.48 / 46.94 ± 1.55	37.30 ± 0.69 / 43.95 ± 1.09	59.66 ± 0.68 / 13.59 ± 0.61	2.78 ± 1.18 / 25.53 ± 0.88	11.15 ± 3.42 / 38.81 ± 1.43	-1.22 ± 0.88 / 24.33 ± 0.84	36.99 ± 2.08 / 28.69 ± 2.20	37.27 ± 1.09 / 27.84 ± 2.23	19.55 ± 3.00 / 40.67 ± 3.28	56.69 ± 1.19 / 9.12 ± 0.79	1.95 ± 1.15 / 43.75 ± 3.47	2.31 ± 0.84 / 46.79 ± 2.89	7.33 ± 1.88 / 19.74 ± 2.82	-0.29 ± 0.94 / 22.82 ± 0.92	0.99 ± 0.77 / 25.16 ± 0.76	33.80 ± 1.96 / 21.70 ± 3.21	58.78 ± 1.36 / 60.51 ± 1.88	0.72 ± 1.17 / 45.33 ± 3.14	35.45 ± 1.87 / 42.40 ± 2.14	56.70 ± 0.93 / 11.49 ± 0.89	2.09 ± 1.31 / 25.41 ± 0.88	-0.46 ± 1.10 / 24.84 ± 0.93	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0
state-spaces/mamba-2.8b-hf (few-shot)	2768	50	32769	True	2,722 ± 495 / 766 ± 250	3.78	3.69	4.06	3.59	17.58 ± 1.95 / 15.48 ± 1.39	10.47 ± 3.28 / 19.91 ± 2.67	1.23 ± 1.53 / 36.92 ± 3.53	42.56 ± 1.07 / 49.37 ± 1.19	62.56 ± 1.43 / 17.47 ± 1.30	2.18 ± 1.10 / 24.56 ± 1.33	4.94 ± 4.46 / 38.22 ± 2.74	1.84 ± 0.96 / 26.18 ± 0.79	26.90 ± 1.65 / 24.65 ± 2.00	34.59 ± 3.22 / 33.15 ± 3.49	31.06 ± 2.28 / 45.42 ± 3.29	53.77 ± 2.82 / 9.67 ± 1.55	0.21 ± 1.21 / 36.38 ± 2.87	-0.17 ± 2.08 / 40.22 ± 3.88	10.35 ± 0.92 / 22.83 ± 1.06	-0.16 ± 0.81 / 23.32 ± 0.68	1.32 ± 1.12 / 25.63 ± 0.98	23.25 ± 1.99 / 20.55 ± 2.20	71.70 ± 1.09 / 71.01 ± 2.36	-0.82 ± 2.23 / 40.80 ± 4.30	40.48 ± 1.52 / 46.93 ± 1.61	54.39 ± 1.68 / 13.19 ± 0.61	-0.43 ± 1.13 / 24.95 ± 0.64	1.98 ± 0.99 / 26.14 ± 0.86	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
NbAiLab/nb-gpt-j-6B-alpaca (few-shot)	6055	50	1024	False	2,607 ± 592 / 680 ± 208	3.79	3.57	3.91	3.88	12.95 ± 3.80 / 11.68 ± 2.31	27.68 ± 3.64 / 46.61 ± 4.11	1.65 ± 1.96 / 47.94 ± 2.55	38.60 ± 0.65 / 47.40 ± 0.64	63.32 ± 0.32 / 16.03 ± 0.49	4.49 ± 1.44 / 27.32 ± 0.89	12.81 ± 4.57 / 37.83 ± 2.98	-0.68 ± 1.31 / 25.00 ± 0.79	23.82 ± 4.25 / 22.08 ± 2.50	26.04 ± 6.38 / 24.47 ± 3.69	32.60 ± 1.84 / 47.47 ± 3.33	58.08 ± 0.42 / 11.74 ± 0.50	0.34 ± 1.43 / 44.47 ± 2.44	2.26 ± 2.27 / 45.41 ± 3.25	21.33 ± 0.98 / 42.76 ± 1.02	2.13 ± 1.32 / 26.30 ± 1.12	1.87 ± 1.34 / 25.87 ± 0.75	13.28 ± 4.32 / 13.40 ± 2.95	60.17 ± 8.39 / 65.99 ± 4.66	1.52 ± 1.94 / 45.19 ± 3.80	37.23 ± 1.07 / 46.83 ± 0.82	46.68 ± 0.33 / 12.40 ± 0.17	-0.03 ± 1.31 / 23.73 ± 1.11	0.02 ± 0.88 / 25.04 ± 0.61	9.3.1	10.0.1	10.0.1	12.4.0	12.6.1	10.0.1	10.0.1	10.0.1	9.3.2	9.3.2	10.0.1	12.4.0	10.0.1	10.0.1	12.4.0	10.0.1	10.0.1	9.3.1	10.0.1	10.0.1	12.4.0	12.4.0	10.0.1	10.0.1
AI-Sweden-Models/gpt-sw3-356m (few-shot)	471	64	2048	True	5,758 ± 1,348 / 1,215 ± 391	3.87	3.71	3.97	3.92	16.13 ± 4.02 / 14.90 ± 3.13	27.61 ± 2.14 / 39.77 ± 1.85	1.96 ± 2.25 / 38.40 ± 2.99	34.79 ± 1.52 / 39.67 ± 1.69	59.05 ± 1.42 / 12.41 ± 1.13	1.00 ± 1.72 / 23.91 ± 0.88	4.85 ± 3.16 / 36.78 ± 1.41	0.28 ± 0.38 / 25.19 ± 0.78	27.37 ± 4.07 / 27.94 ± 4.04	31.22 ± 3.87 / 31.39 ± 3.99	34.21 ± 1.63 / 47.17 ± 2.76	54.28 ± 2.37 / 8.28 ± 0.99	0.92 ± 1.55 / 40.71 ± 2.58	1.25 ± 2.30 / 43.49 ± 3.20	18.52 ± 2.78 / 32.10 ± 4.23	0.33 ± 1.29 / 22.37 ± 1.03	0.11 ± 1.10 / 24.94 ± 0.94	23.77 ± 3.70 / 23.06 ± 3.46	34.29 ± 11.64 / 36.76 ± 7.46	1.57 ± 1.70 / 40.84 ± 1.99	33.70 ± 1.46 / 38.82 ± 1.54	51.36 ± 2.01 / 10.76 ± 0.54	-0.96 ± 1.08 / 21.85 ± 0.45	0.30 ± 0.48 / 25.10 ± 0.69	9.3.1	9.3.1	9.3.2	12.5.1	12.6.1	10.0.1	10.0.1	9.3.2	9.3.1	9.3.1	9.3.1	11.0.0	9.3.2	9.3.2	12.5.1	9.3.2	9.3.2	9.3.1	9.3.1	9.3.2	12.5.1	11.0.0	9.3.2	9.3.2
ibm-granite/granite-3.0-1b-a400m-base (few-shot)	1385	49	4096	True	7,808 ± 2,183 / 1,289 ± 428	3.88	3.77	4.17	3.71	16.82 ± 3.53 / 14.28 ± 3.01	17.52 ± 2.86 / 27.96 ± 2.94	1.53 ± 2.06 / 36.59 ± 3.39	40.21 ± 1.57 / 44.65 ± 1.79	60.13 ± 0.88 / 11.98 ± 0.53	0.29 ± 0.73 / 24.16 ± 0.72	0.55 ± 2.81 / 35.78 ± 1.38	-0.21 ± 0.87 / 25.02 ± 0.65	31.16 ± 1.45 / 30.20 ± 1.07	29.73 ± 2.46 / 28.89 ± 2.68	17.59 ± 2.80 / 35.34 ± 4.36	55.43 ± 1.50 / 8.39 ± 0.75	1.07 ± 1.90 / 44.05 ± 3.72	1.59 ± 1.56 / 41.39 ± 3.86	6.92 ± 0.87 / 14.48 ± 2.08	0.05 ± 1.23 / 22.29 ± 0.77	-0.10 ± 0.12 / 24.90 ± 0.84	23.26 ± 5.42 / 20.21 ± 4.72	55.06 ± 5.28 / 50.38 ± 3.13	1.81 ± 2.14 / 40.07 ± 4.45	35.49 ± 2.28 / 39.42 ± 2.19	54.80 ± 1.73 / 11.88 ± 0.60	-1.51 ± 0.67 / 21.83 ± 0.42	0.41 ± 0.57 / 25.25 ± 0.69	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0	13.2.0
allenai/OLMo-7B (few-shot)	6888	50	2051	True	5,403 ± 1,133 / 1,294 ± 423	3.90	3.71	4.35	3.65	26.76 ± 3.11 / 19.46 ± 2.38	30.76 ± 4.38 / 44.83 ± 4.36	0.55 ± 1.73 / 39.40 ± 4.57	45.65 ± 1.22 / 52.49 ± 1.01	50.86 ± 0.68 / 9.46 ± 0.54	0.26 ± 1.33 / 23.32 ± 0.83	6.94 ± 1.82 / 37.66 ± 1.18	-0.11 ± 0.71 / 24.99 ± 0.40	34.42 ± 3.22 / 27.79 ± 2.40	35.17 ± 4.05 / 30.70 ± 3.37	21.46 ± 5.63 / 38.36 ± 6.18	45.34 ± 0.64 / 5.61 ± 0.21	0.34 ± 1.25 / 33.60 ± 0.50	0.26 ± 0.58 / 34.69 ± 3.11	0.12 ± 0.04 / 9.85 ± 0.17	2.61 ± 1.38 / 27.69 ± 0.74	0.96 ± 1.02 / 25.05 ± 0.84	37.36 ± 2.11 / 28.59 ± 3.03	72.08 ± 1.20 / 63.52 ± 3.36	-0.86 ± 1.61 / 33.84 ± 0.59	45.16 ± 0.96 / 51.46 ± 0.93	41.03 ± 0.33 / 4.86 ± 0.09	-0.83 ± 1.04 / 25.47 ± 0.54	-0.62 ± 0.73 / 24.51 ± 0.53	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2
PleIAs/Pleias-3b-Preview (few-shot)	3212	66	4096	True	6,513 ± 1,241 / 1,282 ± 644	3.94	3.88	4.21	3.74	15.93 ± 3.91 / 14.68 ± 2.81	13.01 ± 2.33 / 28.28 ± 4.63	0.05 ± 1.37 / 40.73 ± 3.78	36.85 ± 1.28 / 41.96 ± 1.64	58.60 ± 2.15 / 10.74 ± 1.12	-0.09 ± 1.15 / 23.40 ± 0.41	2.94 ± 2.51 / 35.74 ± 1.24	-0.35 ± 0.97 / 25.37 ± 0.72	28.82 ± 3.76 / 28.03 ± 3.72	27.81 ± 4.34 / 26.00 ± 4.14	18.74 ± 2.86 / 27.39 ± 3.91	53.53 ± 1.41 / 7.98 ± 0.87	-0.46 ± 1.39 / 36.22 ± 3.32	-0.84 ± 1.32 / 37.42 ± 3.48	12.66 ± 1.66 / 21.98 ± 3.16	-1.29 ± 1.40 / 22.92 ± 0.76	1.29 ± 0.77 / 25.52 ± 0.59	21.42 ± 6.21 / 20.27 ± 5.32	45.75 ± 7.94 / 50.33 ± 6.88	-0.25 ± 1.25 / 44.95 ± 2.93	32.71 ± 2.02 / 37.44 ± 2.20	57.21 ± 1.63 / 13.08 ± 1.06	1.57 ± 1.29 / 22.82 ± 1.04	0.36 ± 0.63 / 25.15 ± 0.48	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
mhenrichsen/danskgpt-tiny (few-shot)	1100	32	2048	True	8,597 ± 1,983 / 1,926 ± 600	3.95	3.73	4.18	3.95	14.13 ± 3.50 / 12.15 ± 3.14	26.31 ± 5.33 / 44.07 ± 6.36	-0.54 ± 1.46 / 44.56 ± 3.34	32.12 ± 1.62 / 38.99 ± 1.42	62.61 ± 0.99 / 15.12 ± 0.59	-2.76 ± 1.71 / 22.41 ± 1.17	5.08 ± 2.61 / 35.14 ± 1.72	-0.70 ± 0.94 / 24.83 ± 0.59	27.37 ± 6.89 / 27.19 ± 7.19	27.59 ± 6.34 / 28.03 ± 6.94	18.09 ± 6.14 / 31.83 ± 6.77	56.77 ± 2.04 / 9.18 ± 1.21	-0.19 ± 1.93 / 41.38 ± 3.18	-0.80 ± 0.89 / 40.66 ± 3.78	5.84 ± 1.36 / 16.14 ± 2.48	-0.50 ± 1.10 / 23.75 ± 0.96	0.07 ± 1.21 / 25.26 ± 0.95	23.92 ± 6.88 / 22.42 ± 6.73	31.93 ± 14.68 / 43.80 ± 8.79	0.46 ± 1.91 / 43.45 ± 3.64	30.81 ± 2.73 / 35.67 ± 2.95	52.68 ± 0.76 / 11.19 ± 0.36	-0.85 ± 1.05 / 24.38 ± 0.51	-1.24 ± 0.90 / 24.30 ± 0.63	0.0.0	0.0.0	0.0.0	12.5.1	12.6.1	10.0.1	10.0.1	0.0.0	0.0.0	0.0.0	0.0.0	11.0.0	0.0.0	0.0.0	12.5.1	0.0.0	0.0.0	0.0.0	0.0.0	0.0.0	12.5.1	11.0.0	0.0.0	0.0.0
PleIAs/Pleias-1.2b-Preview (few-shot)	1195	66	2048	True	10,756 ± 3,589 / 1,157 ± 670	3.99	3.66	4.24	4.08	28.30 ± 2.45 / 22.93 ± 1.82	28.95 ± 4.05 / 48.32 ± 5.01	0.20 ± 0.52 / 34.12 ± 1.62	36.39 ± 0.84 / 43.32 ± 0.77	56.60 ± 2.67 / 10.20 ± 1.29	-0.19 ± 1.94 / 24.99 ± 1.24	11.52 ± 2.67 / 40.10 ± 1.81	0.06 ± 1.12 / 25.22 ± 0.57	38.96 ± 2.67 / 36.82 ± 3.28	40.42 ± 2.43 / 38.81 ± 2.83	19.42 ± 3.09 / 26.64 ± 4.19	49.86 ± 2.91 / 6.53 ± 1.00	-0.13 ± 0.55 / 33.43 ± 0.23	0.77 ± 1.22 / 33.80 ± 0.25	4.70 ± 1.89 / 8.66 ± 3.16	-0.21 ± 1.45 / 24.34 ± 0.86	-0.56 ± 1.00 / 24.97 ± 0.77	36.29 ± 4.00 / 31.64 ± 3.95	39.68 ± 11.06 / 47.78 ± 9.30	0.96 ± 1.25 / 36.56 ± 2.57	32.64 ± 1.84 / 38.42 ± 1.95	28.38 ± 11.08 / 6.24 ± 2.51	1.35 ± 1.17 / 24.67 ± 1.17	-0.19 ± 1.18 / 24.79 ± 0.78	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
tiiuae/Falcon3-1B-Instruct (few-shot)	1669	131	8192	True	9,270 ± 2,690 / 1,434 ± 437	4.00	3.90	4.24	3.87	20.03 ± 1.60 / 17.52 ± 1.50	15.96 ± 2.77 / 38.74 ± 2.88	0.86 ± 1.76 / 42.48 ± 3.82	28.98 ± 1.93 / 35.38 ± 2.10	56.75 ± 0.67 / 10.37 ± 0.34	2.15 ± 1.69 / 25.19 ± 0.96	2.51 ± 2.17 / 35.61 ± 1.10	0.88 ± 0.95 / 25.68 ± 0.52	29.25 ± 2.15 / 28.34 ± 2.25	25.45 ± 1.96 / 24.62 ± 1.86	11.28 ± 0.71 / 22.46 ± 2.54	55.58 ± 1.17 / 8.04 ± 0.65	1.52 ± 1.26 / 40.82 ± 4.08	0.52 ± 1.60 / 41.23 ± 4.21	8.47 ± 0.94 / 20.43 ± 2.10	2.62 ± 1.32 / 26.23 ± 0.92	-0.06 ± 0.97 / 24.96 ± 0.73	26.41 ± 2.74 / 25.18 ± 2.46	25.99 ± 3.51 / 35.36 ± 4.53	1.64 ± 1.90 / 37.52 ± 2.69	21.39 ± 1.66 / 26.70 ± 1.83	58.09 ± 0.53 / 13.29 ± 0.62	3.51 ± 1.35 / 27.14 ± 1.02	1.05 ± 1.05 / 25.62 ± 0.84	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2	14.1.2
RuterNorway/Llama-2-7b-chat-norwegian (few-shot)	unknown	32	4096	False	10,890 ± 2,686 / 2,186 ± 750	4.01	4.06	4.20	3.78	10.12 ± 1.24 / 9.84 ± 1.12	10.65 ± 3.65 / 28.33 ± 5.27	-0.66 ± 1.24 / 33.61 ± 0.26	26.08 ± 3.96 / 28.87 ± 4.21	56.92 ± 0.98 / 8.57 ± 0.76	0.10 ± 1.50 / 26.50 ± 1.00	4.29 ± 5.87 / 35.00 ± 1.75	-0.88 ± 1.17 / 24.43 ± 0.74	21.04 ± 2.63 / 20.44 ± 2.47	18.71 ± 2.67 / 19.91 ± 2.89	12.22 ± 1.17 / 23.50 ± 3.03	53.49 ± 5.64 / 9.38 ± 1.34	-1.18 ± 1.40 / 35.70 ± 2.67	0.36 ± 1.28 / 37.66 ± 4.07	26.86 ± 1.65 / 50.11 ± 1.80	0.21 ± 0.83 / 26.88 ± 1.44	-0.30 ± 1.13 / 24.48 ± 0.70	22.38 ± 3.00 / 22.09 ± 2.85	31.11 ± 12.17 / 36.84 ± 11.52	0.09 ± 0.67 / 33.42 ± 0.30	44.36 ± 1.34 / 50.14 ± 1.15	55.44 ± 0.79 / 12.95 ± 0.51	1.12 ± 0.42 / 25.27 ± 0.68	-0.91 ± 0.96 / 24.26 ± 0.64	9.3.1	9.3.1	9.3.1	12.5.2	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	11.0.0	9.3.1	9.3.1	12.5.2	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.2	11.0.0	9.3.1	9.3.1
Qwen/Qwen1.5-0.5B (few-shot)	620	152	32768	True	11,371 ± 2,924 / 2,122 ± 692	4.04	3.94	4.34	3.83	19.01 ± 1.91 / 17.08 ± 1.83	8.88 ± 1.86 / 24.27 ± 2.45	0.66 ± 1.41 / 37.98 ± 4.14	32.78 ± 2.33 / 38.31 ± 2.81	55.57 ± 1.04 / 8.04 ± 0.82	7.21 ± 1.78 / 29.73 ± 1.08	16.56 ± 3.13 / 42.30 ± 1.26	0.62 ± 1.30 / 25.65 ± 0.72	34.46 ± 2.01 / 33.09 ± 2.32	33.41 ± 2.21 / 33.91 ± 2.33	6.31 ± 3.46 / 20.67 ± 2.69	49.88 ± 3.11 / 5.75 ± 0.88	-1.59 ± 1.08 / 36.27 ± 3.71	0.61 ± 1.41 / 38.84 ± 5.10	5.95 ± 1.53 / 16.20 ± 1.93	2.81 ± 1.18 / 25.21 ± 0.98	2.92 ± 0.88 / 26.67 ± 0.60	28.96 ± 2.39 / 26.49 ± 3.14	26.58 ± 5.12 / 28.64 ± 5.35	-1.88 ± 1.46 / 35.45 ± 2.92	34.59 ± 1.06 / 40.95 ± 1.11	53.36 ± 1.44 / 12.82 ± 0.58	6.52 ± 1.02 / 28.83 ± 0.78	1.91 ± 1.30 / 26.10 ± 0.65	12.5.2	10.0.1	12.1.0	12.1.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	10.0.1	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.5.2	10.0.1	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0
allenai/OLMo-7B-Twin-2T (few-shot)	6888	50	2051	True	5,484 ± 1,125 / 1,317 ± 425	4.07	3.92	4.53	3.77	7.52 ± 3.92 / 6.60 ± 2.84	18.30 ± 3.89 / 27.62 ± 5.78	3.23 ± 1.94 / 45.74 ± 3.06	46.35 ± 1.42 / 51.37 ± 1.43	53.01 ± 1.10 / 10.72 ± 0.80	2.17 ± 1.53 / 23.73 ± 0.99	0.22 ± 2.74 / 35.08 ± 1.48	-0.65 ± 1.58 / 24.75 ± 1.03	9.06 ± 6.86 / 8.39 ± 6.41	17.16 ± 6.21 / 16.00 ± 5.94	25.52 ± 3.72 / 41.44 ± 4.44	40.94 ± 0.78 / 5.09 ± 0.25	0.68 ± 1.54 / 45.09 ± 2.63	0.17 ± 2.27 / 42.02 ± 4.30	0.46 ± 0.07 / 6.96 ± 0.13	2.43 ± 1.10 / 24.94 ± 0.98	2.35 ± 0.86 / 26.35 ± 0.78	20.49 ± 7.78 / 19.50 ± 6.82	70.04 ± 2.28 / 60.77 ± 3.00	2.28 ± 1.77 / 36.86 ± 3.97	45.85 ± 1.19 / 51.08 ± 1.21	39.53 ± 0.34 / 5.71 ± 0.10	0.69 ± 0.90 / 24.20 ± 0.89	0.12 ± 1.51 / 24.97 ± 1.28	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	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-sw3-126m-instruct (few-shot)	186	64	2048	True	7,717 ± 1,553 / 2,013 ± 625	4.09	3.99	4.24	4.05	13.98 ± 1.54 / 13.46 ± 1.42	6.37 ± 3.38 / 25.43 ± 4.09	0.41 ± 0.80 / 33.31 ± 0.24	20.46 ± 2.90 / 24.27 ± 3.23	60.87 ± 0.92 / 12.82 ± 1.14	0.53 ± 1.10 / 24.39 ± 0.85	4.72 ± 3.89 / 35.76 ± 1.86	-0.07 ± 0.75 / 24.90 ± 0.90	27.66 ± 2.00 / 28.61 ± 2.15	30.88 ± 2.13 / 31.97 ± 2.10	5.13 ± 3.33 / 20.41 ± 3.12	58.91 ± 0.95 / 9.74 ± 0.45	0.00 ± 0.00 / 33.25 ± 0.30	0.00 ± 0.00 / 32.79 ± 0.34	7.55 ± 1.17 / 15.63 ± 2.64	-0.68 ± 1.27 / 22.92 ± 0.65	0.32 ± 0.59 / 25.12 ± 0.69	23.05 ± 2.31 / 24.35 ± 1.99	12.47 ± 7.10 / 23.03 ± 8.78	0.08 ± 0.16 / 33.34 ± 0.30	20.43 ± 2.69 / 24.25 ± 2.67	59.80 ± 0.93 / 14.56 ± 0.36	0.72 ± 0.72 / 23.30 ± 0.96	0.11 ± 0.91 / 25.15 ± 0.81	11.0.0	9.3.2	11.0.0	12.4.0	12.6.1	11.0.0	11.0.0	11.0.0	11.0.0	11.0.0	9.3.2	12.4.0	11.0.0	11.0.0	12.4.0	11.0.0	11.0.0	9.3.2	9.3.2	11.0.0	12.4.0	12.4.0	11.0.0	11.0.0
PleIAs/Pleias-Nano (few-shot)	1195	66	2048	True	2,519 ± 841 / 323 ± 104	4.14	3.71	4.32	4.40	16.17 ± 3.44 / 14.33 ± 1.92	29.12 ± 4.09 / 49.93 ± 4.45	-0.47 ± 0.62 / 33.18 ± 0.28	34.80 ± 1.08 / 41.23 ± 1.18	59.04 ± 1.20 / 11.45 ± 0.63	-0.22 ± 1.00 / 25.05 ± 0.76	6.94 ± 2.90 / 38.44 ± 2.00	0.52 ± 0.76 / 25.53 ± 0.44	27.47 ± 4.87 / 27.10 ± 3.15	23.82 ± 4.37 / 27.33 ± 3.71	22.22 ± 1.30 / 32.60 ± 1.49	49.84 ± 3.33 / 6.70 ± 0.85	-2.06 ± 1.97 / 35.29 ± 1.70	-0.77 ± 1.41 / 35.74 ± 1.76	2.48 ± 1.20 / 5.33 ± 1.94	0.39 ± 1.55 / 24.22 ± 1.11	-1.07 ± 0.92 / 24.48 ± 0.46	14.09 ± 5.11 / 15.95 ± 3.72	23.71 ± 6.92 / 32.87 ± 7.00	1.74 ± 1.73 / 38.94 ± 3.25	32.00 ± 1.48 / 37.80 ± 1.63	28.30 ± 11.29 / 5.98 ± 2.41	0.94 ± 1.13 / 23.75 ± 1.20	-0.48 ± 1.44 / 24.60 ± 0.90	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
NbAiLab/nb-llama-3.2-1B (few-shot)	1236	128	131072	True	3,424 ± 1,080 / 464 ± 158	4.16	4.00	4.51	3.97	9.20 ± 3.54 / 8.11 ± 3.24	32.94 ± 4.62 / 46.54 ± 5.68	1.59 ± 2.72 / 45.39 ± 3.81	23.10 ± 2.78 / 31.50 ± 3.48	50.75 ± 1.47 / 7.03 ± 0.59	1.23 ± 0.90 / 23.77 ± 0.57	13.87 ± 3.44 / 40.68 ± 1.83	-1.16 ± 1.38 / 24.10 ± 0.91	10.60 ± 5.84 / 10.10 ± 5.81	22.63 ± 4.50 / 21.78 ± 4.61	19.76 ± 6.05 / 25.69 ± 5.67	44.30 ± 1.13 / 4.17 ± 0.44	2.80 ± 1.41 / 41.56 ± 3.36	0.17 ± 2.00 / 37.59 ± 2.30	3.99 ± 1.17 / 14.63 ± 2.66	0.29 ± 1.14 / 26.67 ± 0.80	0.57 ± 1.02 / 25.22 ± 0.75	4.49 ± 3.07 / 4.08 ± 2.82	73.13 ± 1.08 / 64.78 ± 3.26	2.50 ± 1.36 / 41.66 ± 3.85	22.14 ± 3.47 / 29.52 ± 4.26	47.10 ± 1.28 / 9.46 ± 0.62	0.88 ± 0.82 / 26.30 ± 0.71	-1.21 ± 0.53 / 24.02 ± 0.44	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
HuggingFaceTB/SmolLM2-360M (few-shot)	362	49	8192	True	22,023 ± 6,203 / 3,675 ± 1,231	4.28	4.09	4.50	4.25	12.68 ± 1.39 / 12.32 ± 1.19	3.61 ± 2.69 / 19.01 ± 3.95	1.79 ± 0.97 / 36.23 ± 3.19	28.12 ± 3.14 / 32.48 ± 3.57	56.85 ± 1.37 / 10.17 ± 1.17	-0.03 ± 0.59 / 23.99 ± 0.76	6.03 ± 3.05 / 37.58 ± 1.59	0.20 ± 0.86 / 25.12 ± 0.70	26.60 ± 1.99 / 23.60 ± 2.05	23.70 ± 1.58 / 23.04 ± 2.17	6.21 ± 2.55 / 23.74 ± 3.28	48.59 ± 1.59 / 6.80 ± 0.45	-0.39 ± 0.76 / 33.40 ± 0.31	0.21 ± 0.41 / 35.33 ± 3.02	4.65 ± 1.00 / 10.23 ± 1.68	-1.13 ± 0.96 / 21.80 ± 0.52	-0.51 ± 0.40 / 24.82 ± 0.86	18.22 ± 1.75 / 17.97 ± 2.10	11.52 ± 7.20 / 29.30 ± 5.30	1.72 ± 1.21 / 34.96 ± 1.12	27.27 ± 3.03 / 31.25 ± 3.24	45.57 ± 0.97 / 9.20 ± 0.68	0.69 ± 0.65 / 22.10 ± 0.54	0.68 ± 0.79 / 25.25 ± 0.76	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
allenai/OLMo-1B (few-shot)	1177	50	2051	True	8,536 ± 1,926 / 1,940 ± 619	4.29	4.20	4.61	4.07	13.39 ± 2.60 / 12.39 ± 2.46	17.94 ± 5.58 / 32.80 ± 3.63	-2.02 ± 2.28 / 40.63 ± 4.12	23.65 ± 2.96 / 26.24 ± 3.20	48.87 ± 1.42 / 5.39 ± 0.62	-0.33 ± 0.61 / 23.91 ± 0.71	0.05 ± 2.96 / 34.67 ± 1.78	-0.08 ± 0.81 / 25.21 ± 0.56	30.79 ± 1.95 / 32.18 ± 1.98	31.12 ± 2.36 / 33.10 ± 2.68	9.95 ± 3.92 / 29.01 ± 2.80	40.45 ± 0.43 / 4.00 ± 0.12	-0.95 ± 1.87 / 39.37 ± 3.33	-0.04 ± 1.73 / 42.36 ± 4.61	0.00 ± 0.00 / 3.06 ± 0.05	0.32 ± 1.03 / 24.22 ± 1.37	0.12 ± 0.91 / 24.92 ± 0.59	29.39 ± 3.08 / 29.93 ± 3.14	38.95 ± 11.78 / 43.61 ± 8.46	-1.35 ± 1.76 / 40.70 ± 4.25	17.85 ± 3.77 / 20.30 ± 4.04	43.75 ± 0.28 / 4.67 ± 0.12	-0.22 ± 0.80 / 23.76 ± 0.84	0.75 ± 1.00 / 25.27 ± 0.56	12.5.2	12.1.0	12.1.0	12.1.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.5.2	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0	12.1.0
NbAiLab/nb-llama-3.2-3B (few-shot)	3213	128	131072	True	1,880 ± 556 / 280 ± 95	4.30	4.37	4.52	4.00	0.06 ± 0.08 / 0.10 ± 0.10	8.71 ± 4.41 / 18.01 ± 2.90	2.90 ± 2.59 / 34.74 ± 1.30	1.40 ± 1.36 / 9.63 ± 1.32	52.26 ± 0.92 / 7.56 ± 0.49	20.78 ± 1.44 / 36.48 ± 1.25	34.59 ± 1.28 / 49.63 ± 0.96	1.18 ± 1.45 / 25.19 ± 0.68	2.73 ± 3.17 / 2.88 ± 3.11	0.26 ± 0.13 / 0.32 ± 0.24	15.10 ± 3.49 / 25.71 ± 3.00	45.63 ± 0.88 / 4.70 ± 0.33	13.58 ± 3.65 / 44.75 ± 5.83	7.78 ± 4.19 / 42.13 ± 6.04	0.15 ± 0.11 / 16.40 ± 2.06	11.57 ± 1.11 / 31.67 ± 0.89	1.19 ± 1.20 / 25.29 ± 0.58	1.37 ± 0.87 / 1.26 ± 0.79	72.06 ± 1.49 / 60.27 ± 1.73	8.44 ± 3.82 / 40.95 ± 5.88	0.45 ± 0.33 / 8.27 ± 1.38	51.36 ± 1.46 / 10.50 ± 0.38	10.37 ± 1.18 / 29.59 ± 0.94	2.74 ± 1.35 / 25.75 ± 0.49	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
Qwen/Qwen1.5-0.5B-Chat (few-shot)	620	152	32768	False	11,740 ± 3,000 / 2,209 ± 721	4.30	3.86	5.14	3.89	17.38 ± 2.04 / 15.74 ± 1.99	10.72 ± 3.35 / 25.21 ± 3.80	1.32 ± 1.08 / 42.05 ± 3.69	34.58 ± 0.97 / 40.37 ± 1.02	55.87 ± 5.22 / 11.87 ± 1.03	4.56 ± 1.88 / 25.87 ± 1.72	22.41 ± 3.16 / 42.73 ± 0.96	1.71 ± 0.99 / 25.84 ± 0.79	29.52 ± 1.48 / 29.79 ± 1.62	31.27 ± 1.30 / 31.91 ± 1.31	11.49 ± 1.38 / 27.12 ± 1.98	9.92 ± 8.37 / 1.42 ± 1.14	0.29 ± 1.58 / 40.21 ± 4.22	-0.12 ± 1.48 / 39.92 ± 3.90	7.80 ± 1.19 / 17.09 ± 2.72	0.29 ± 1.08 / 24.63 ± 0.79	0.49 ± 1.19 / 24.95 ± 0.86	18.57 ± 4.62 / 17.69 ± 4.61	40.23 ± 5.86 / 49.01 ± 4.77	0.21 ± 1.06 / 39.60 ± 3.61	29.49 ± 2.47 / 35.01 ± 2.72	53.29 ± 6.52 / 13.04 ± 1.68	2.59 ± 0.72 / 26.87 ± 0.72	-0.84 ± 1.01 / 24.44 ± 0.61	12.5.2	11.0.0	12.1.0	12.4.0	12.6.1	12.1.0	12.1.0	12.1.0	12.5.2	12.5.2	11.0.0	12.5.0	12.1.0	12.1.0	12.4.0	12.1.0	12.1.0	12.5.2	11.0.0	12.1.0	12.4.0	12.5.0	12.1.0	12.1.0
NorwAI/NorwAI-Mistral-7B-pretrain (few-shot)	7537	68	4096	True	3,024 ± 496 / 909 ± 301	4.35	4.20	4.53	4.31	12.82 ± 2.64 / 12.37 ± 1.95	3.55 ± 3.64 / 22.75 ± 4.02	0.68 ± 1.41 / 35.13 ± 0.98	19.85 ± 1.75 / 24.31 ± 1.88	55.58 ± 0.58 / 10.39 ± 0.63	-0.11 ± 1.59 / 25.69 ± 0.65	-2.13 ± 4.41 / 33.89 ± 3.03	0.88 ± 0.62 / 25.49 ± 0.74	12.77 ± 3.48 / 14.13 ± 3.09	10.51 ± 3.44 / 9.95 ± 3.51	8.70 ± 4.43 / 25.39 ± 3.30	49.76 ± 2.04 / 6.51 ± 0.86	0.00 ± 1.60 / 38.54 ± 3.41	0.82 ± 1.39 / 37.77 ± 4.45	1.85 ± 0.82 / 10.19 ± 1.99	-2.42 ± 1.29 / 21.73 ± 0.58	1.23 ± 1.22 / 25.06 ± 0.70	9.75 ± 3.30 / 9.18 ± 3.19	17.76 ± 4.89 / 28.16 ± 7.50	1.22 ± 0.95 / 43.54 ± 3.79	14.98 ± 2.49 / 18.46 ± 2.99	48.74 ± 1.72 / 10.30 ± 0.36	-0.62 ± 1.15 / 22.04 ± 0.67	0.99 ± 1.35 / 25.36 ± 0.92	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.4	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5	12.10.5
HuggingFaceTB/SmolLM2-360M-Instruct (few-shot)	362	49	8192	True	21,777 ± 6,115 / 3,617 ± 1,211	4.38	4.20	4.51	4.42	8.97 ± 3.18 / 8.62 ± 2.72	2.66 ± 2.70 / 16.29 ± 2.34	1.65 ± 1.38 / 44.50 ± 3.21	24.92 ± 1.68 / 28.73 ± 1.90	55.39 ± 0.68 / 10.01 ± 0.63	0.28 ± 0.93 / 23.92 ± 0.72	3.55 ± 3.45 / 35.45 ± 1.54	-0.41 ± 1.41 / 25.02 ± 0.71	20.37 ± 5.55 / 21.57 ± 3.57	21.27 ± 5.10 / 22.34 ± 4.41	7.60 ± 2.24 / 26.47 ± 2.89	49.27 ± 1.15 / 7.39 ± 0.36	1.31 ± 1.92 / 45.75 ± 3.36	0.51 ± 1.81 / 38.71 ± 2.95	4.80 ± 1.18 / 10.53 ± 2.12	-0.90 ± 0.97 / 21.85 ± 0.55	-1.00 ± 0.70 / 24.21 ± 0.55	13.64 ± 5.84 / 16.38 ± 4.06	9.34 ± 6.26 / 26.00 ± 3.56	2.20 ± 1.59 / 41.62 ± 3.37	26.06 ± 2.35 / 30.05 ± 2.29	37.49 ± 0.77 / 9.36 ± 0.25	-0.00 ± 0.96 / 22.03 ± 0.45	0.78 ± 1.51 / 25.50 ± 0.87	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
AI-Sweden-Models/gpt-sw3-126m (few-shot)	186	64	2048	True	8,958 ± 1,815 / 2,240 ± 696	4.39	4.32	4.54	4.32	3.43 ± 2.66 / 5.56 ± 1.90	9.18 ± 4.25 / 26.36 ± 3.94	-0.22 ± 1.53 / 34.20 ± 0.84	16.64 ± 3.32 / 19.46 ± 3.63	52.34 ± 1.60 / 8.84 ± 0.78	-0.58 ± 0.97 / 24.00 ± 0.77	5.18 ± 4.75 / 36.68 ± 2.20	-1.28 ± 0.99 / 24.75 ± 0.93	13.55 ± 6.73 / 15.90 ± 5.66	9.38 ± 4.88 / 11.18 ± 4.52	7.78 ± 3.76 / 21.70 ± 5.02	51.68 ± 2.20 / 7.39 ± 0.89	-1.46 ± 1.07 / 43.30 ± 2.30	-2.97 ± 1.29 / 44.41 ± 3.18	2.32 ± 0.68 / 6.65 ± 1.90	0.39 ± 1.28 / 23.22 ± 0.56	-0.80 ± 0.71 / 24.77 ± 0.62	5.66 ± 4.11 / 8.37 ± 3.24	8.15 ± 8.87 / 24.31 ± 7.12	-0.81 ± 1.16 / 36.81 ± 2.47	16.40 ± 2.88 / 19.18 ± 3.18	51.48 ± 1.14 / 10.63 ± 0.31	-0.49 ± 0.60 / 22.53 ± 0.75	1.17 ± 0.86 / 25.54 ± 0.87	9.2.0	9.2.0	9.2.0	12.5.1	12.6.1	10.0.1	10.0.1	9.2.0	9.2.0	9.2.0	9.2.0	11.0.0	9.2.0	9.2.0	12.5.1	9.2.0	9.2.0	9.2.0	9.2.0	9.2.0	12.5.1	11.0.0	9.2.0	9.2.0
HuggingFaceTB/SmolLM2-135M (few-shot)	135	49	8192	True	26,346 ± 7,812 / 4,082 ± 1,372	4.39	4.43	4.40	4.33	13.72 ± 1.83 / 13.41 ± 1.52	3.79 ± 3.11 / 21.06 ± 4.74	-0.45 ± 0.70 / 39.69 ± 4.95	14.69 ± 2.86 / 17.28 ± 3.01	47.44 ± 1.55 / 6.04 ± 0.58	-0.58 ± 2.44 / 25.72 ± 1.40	10.99 ± 5.42 / 38.26 ± 1.92	-0.51 ± 1.30 / 24.79 ± 0.70	24.37 ± 2.17 / 26.91 ± 2.28	24.69 ± 1.85 / 27.60 ± 2.48	8.84 ± 4.19 / 29.74 ± 3.45	53.61 ± 2.33 / 6.64 ± 0.79	-1.20 ± 1.10 / 36.09 ± 3.06	-0.50 ± 1.21 / 36.68 ± 3.16	0.16 ± 0.13 / 2.31 ± 0.44	-0.81 ± 0.69 / 24.67 ± 1.24	-0.71 ± 1.01 / 24.42 ± 0.63	19.15 ± 1.75 / 20.52 ± 1.77	-3.03 ± 7.40 / 24.39 ± 3.87	0.06 ± 1.12 / 36.05 ± 2.59	14.18 ± 3.82 / 16.55 ± 4.25	51.51 ± 1.96 / 11.46 ± 0.73	0.02 ± 1.30 / 25.25 ± 0.94	0.04 ± 0.79 / 24.92 ± 0.73	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
RJuro/kanelsnegl-v0.1 (few-shot)	7242	32	512	True	5,847 ± 1,029 / 1,640 ± 525	4.39	4.29	4.58	4.31	0.00 ± 0.00 / 0.00 ± 0.00	13.00 ± 4.17 / 24.41 ± 3.12	0.00 ± 0.00 / 33.25 ± 0.23	0.00 ± 0.00 / 12.39 ± 1.52	61.25 ± 0.17 / 12.03 ± 0.21	0.00 ± 0.00 / 24.00 ± 0.73	0.00 ± 0.00 / 35.86 ± 1.26	0.04 ± 0.14 / 25.18 ± 0.77	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 0.00 ± 0.00	0.95 ± 0.80 / 9.68 ± 0.28	59.32 ± 0.11 / 9.47 ± 0.12	0.00 ± 0.00 / 33.25 ± 0.30	0.00 ± 0.00 / 32.79 ± 0.34	0.00 ± 0.00 / 33.45 ± 0.27	0.18 ± 0.35 / 21.91 ± 0.52	0.30 ± 0.40 / 25.03 ± 0.88	0.00 ± 0.00 / 0.00 ± 0.00	34.63 ± 9.69 / 40.92 ± 6.88	0.00 ± 0.00 / 33.30 ± 0.27	0.00 ± 0.00 / 8.92 ± 2.90	59.04 ± 0.07 / 10.84 ± 0.09	-0.25 ± 0.97 / 21.96 ± 0.57	0.08 ± 0.78 / 24.93 ± 0.77	9.3.1	9.3.1	9.3.1	12.5.1	12.6.1	10.0.1	10.0.1	9.3.1	9.3.1	9.3.1	9.3.1	11.0.0	9.3.1	9.3.1	12.5.1	9.3.1	9.3.1	9.3.1	9.3.1	9.3.1	12.5.1	11.0.0	9.3.1	9.3.1
HuggingFaceTB/SmolLM2-135M-Instruct (few-shot)	135	49	8192	True	25,602 ± 7,583 / 3,953 ± 1,325	4.40	4.23	4.48	4.50	12.11 ± 1.07 / 11.48 ± 1.07	2.61 ± 3.22 / 18.95 ± 3.93	0.25 ± 1.87 / 39.65 ± 4.00	14.02 ± 2.56 / 16.74 ± 2.74	56.53 ± 0.95 / 8.45 ± 0.77	1.05 ± 1.51 / 26.37 ± 0.83	10.81 ± 4.60 / 38.73 ± 1.77	-0.50 ± 0.85 / 24.15 ± 0.67	20.89 ± 2.55 / 22.28 ± 2.32	19.62 ± 1.91 / 21.82 ± 2.35	2.78 ± 4.25 / 26.17 ± 3.37	53.93 ± 2.39 / 6.60 ± 0.99	-0.98 ± 1.80 / 40.63 ± 4.03	0.93 ± 2.26 / 40.91 ± 4.95	0.15 ± 0.13 / 2.19 ± 0.57	-0.48 ± 1.78 / 25.53 ± 1.87	-0.53 ± 0.95 / 24.68 ± 0.62	17.09 ± 2.33 / 18.78 ± 2.11	7.41 ± 9.32 / 28.42 ± 3.18	0.47 ± 1.48 / 38.19 ± 3.61	11.73 ± 3.22 / 13.94 ± 3.48	38.30 ± 1.88 / 8.09 ± 0.47	0.30 ± 0.87 / 25.76 ± 0.77	0.06 ± 1.19 / 24.33 ± 0.53	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0	13.1.0
RJuro/kanelsnegl-v0.2 (few-shot)	7242	32	512	True	1,373 ± 120 / 709 ± 172	4.42	4.37	4.58	4.32	0.00 ± 0.00 / 0.00 ± 0.00	4.81 ± 2.69 / 19.31 ± 1.01	0.00 ± 0.00 / 33.25 ± 0.23	0.00 ± 0.00 / 30.05 ± 4.99	61.06 ± 0.14 / 12.02 ± 0.15	0.00 ± 0.00 / 24.00 ± 0.73	0.00 ± 0.00 / 35.86 ± 1.26	0.15 ± 0.64 / 25.21 ± 0.79	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 0.00 ± 0.00	1.27 ± 1.21 / 9.77 ± 0.51	59.10 ± 0.12 / 9.14 ± 0.11	0.00 ± 0.00 / 33.25 ± 0.30	0.00 ± 0.00 / 32.79 ± 0.34	0.00 ± 0.00 / 32.25 ± 0.29	0.83 ± 0.90 / 21.96 ± 0.50	0.09 ± 0.50 / 25.03 ± 0.89	0.00 ± 0.00 / 0.00 ± 0.00	28.62 ± 12.67 / 35.36 ± 8.35	0.00 ± 0.00 / 33.30 ± 0.27	0.00 ± 0.00 / 19.59 ± 6.84	58.16 ± 0.07 / 8.81 ± 0.07	0.47 ± 0.86 / 22.03 ± 0.59	0.71 ± 0.64 / 25.02 ± 0.72	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	11.0.0	10.0.1	10.0.1	10.0.1	11.0.0	10.0.1	10.0.1	10.0.1	10.0.1	11.0.0	10.0.1	10.0.1	10.0.1	10.0.1	11.0.0	10.0.1	11.0.0
PleIAs/Pleias-Pico (few-shot)	353	66	2048	True	2,331 ± 787 / 301 ± 97	4.45	4.21	4.63	4.52	10.59 ± 2.24 / 10.29 ± 1.37	13.31 ± 3.23 / 34.38 ± 3.13	0.52 ± 0.78 / 33.76 ± 0.37	16.61 ± 2.60 / 20.46 ± 2.96	53.52 ± 1.40 / 7.67 ± 0.60	0.89 ± 2.10 / 26.06 ± 1.57	4.30 ± 2.48 / 37.38 ± 1.67	-0.01 ± 1.18 / 25.21 ± 0.79	25.02 ± 2.09 / 25.54 ± 2.29	21.59 ± 3.84 / 21.51 ± 4.17	8.05 ± 2.35 / 22.59 ± 2.42	43.81 ± 1.95 / 4.91 ± 0.42	-0.15 ± 1.40 / 36.65 ± 4.39	-0.97 ± 1.78 / 39.00 ± 3.45	0.37 ± 0.29 / 2.47 ± 0.84	-0.31 ± 1.64 / 23.54 ± 1.29	-0.61 ± 0.97 / 25.08 ± 0.47	16.28 ± 4.73 / 16.34 ± 4.84	17.38 ± 10.26 / 34.60 ± 5.85	-0.45 ± 0.67 / 36.19 ± 2.92	17.78 ± 2.45 / 22.13 ± 2.29	27.12 ± 10.70 / 5.04 ± 2.19	-1.38 ± 1.03 / 22.26 ± 0.54	0.94 ± 1.07 / 25.20 ± 0.63	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
NbAiLab/nb-gpt-j-6B-v2 (few-shot)	6051	50	1024	False	2,556 ± 580 / 681 ± 214	4.48	4.25	4.58	4.61	0.24 ± 0.25 / 0.25 ± 0.21	27.80 ± 6.39 / 43.80 ± 5.16	0.56 ± 0.51 / 34.04 ± 1.28	6.84 ± 6.83 / 21.33 ± 6.27	53.76 ± 0.47 / 11.17 ± 0.49	-1.83 ± 1.68 / 23.94 ± 1.25	0.99 ± 3.76 / 34.10 ± 2.62	-0.48 ± 0.94 / 24.73 ± 0.61	5.29 ± 4.68 / 4.93 ± 4.38	6.77 ± 6.18 / 6.78 ± 5.66	20.84 ± 6.06 / 35.78 ± 5.94	44.23 ± 0.84 / 6.81 ± 0.16	0.45 ± 1.09 / 34.65 ± 1.93	0.48 ± 0.66 / 32.86 ± 0.34	2.43 ± 0.61 / 22.78 ± 2.29	0.17 ± 1.46 / 24.43 ± 1.54	-0.49 ± 0.65 / 24.19 ± 0.56	0.31 ± 0.55 / 0.29 ± 0.50	27.42 ± 12.16 / 38.74 ± 10.05	0.07 ± 1.06 / 35.80 ± 1.73	17.82 ± 11.21 / 31.12 ± 8.39	27.09 ± 0.29 / 6.80 ± 0.12	-0.67 ± 0.81 / 22.55 ± 0.71	0.86 ± 0.82 / 25.38 ± 0.51	9.3.1	10.0.1	11.0.0	12.5.1	12.6.1	11.0.0	11.0.0	11.0.0	9.3.1	9.3.1	10.0.1	11.0.0	11.0.0	11.0.0	12.5.1	11.0.0	11.0.0	9.3.1	10.0.1	11.0.0	12.5.1	11.0.0	11.0.0	11.0.0
PleIAs/Pleias-350m-Preview (few-shot)	353	66	2048	True	10,242 ± 3,432 / 1,335 ± 484	4.48	4.33	4.55	4.57	13.84 ± 1.95 / 13.12 ± 1.60	9.47 ± 3.30 / 25.66 ± 3.36	-0.36 ± 1.60 / 39.52 ± 3.19	22.10 ± 2.03 / 26.85 ± 2.16	45.28 ± 4.20 / 6.64 ± 0.74	-0.27 ± 1.66 / 25.68 ± 1.51	2.54 ± 3.58 / 36.82 ± 2.34	-0.66 ± 0.98 / 24.57 ± 0.57	26.59 ± 2.14 / 26.61 ± 2.49	26.78 ± 1.46 / 26.94 ± 1.92	7.91 ± 2.20 / 17.44 ± 3.42	45.83 ± 1.92 / 5.61 ± 0.51	0.28 ± 1.08 / 36.00 ± 3.05	0.04 ± 1.65 / 41.17 ± 5.30	0.65 ± 0.40 / 2.88 ± 1.01	0.57 ± 1.71 / 24.14 ± 1.57	-0.66 ± 0.78 / 24.58 ± 0.58	22.09 ± 2.91 / 21.86 ± 2.85	14.15 ± 7.21 / 25.90 ± 4.05	-0.04 ± 1.25 / 36.18 ± 3.31	21.60 ± 1.52 / 26.25 ± 1.48	27.08 ± 10.78 / 5.28 ± 2.27	-0.65 ± 0.97 / 22.89 ± 0.69	0.48 ± 0.88 / 25.21 ± 0.51	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4	14.1.2	14.1.2	14.0.4	14.0.4	14.0.4	14.0.4
NbAiLab/nb-gpt-j-6B@sharded (few-shot)	unknown	50	1024	True	2,630 ± 605 / 684 ± 217	4.65	4.43	4.77	4.76	0.36 ± 0.40 / 1.82 ± 1.16	11.00 ± 7.09 / 26.09 ± 6.96	-0.11 ± 1.16 / 33.76 ± 0.86	5.15 ± 6.60 / 17.35 ± 5.86	51.83 ± 0.77 / 10.14 ± 0.49	-0.96 ± 1.47 / 23.86 ± 1.33	3.51 ± 3.46 / 35.41 ± 2.22	0.73 ± 1.39 / 25.54 ± 1.00	0.22 ± 0.21 / 1.66 ± 1.38	0.24 ± 0.40 / 1.43 ± 1.97	20.64 ± 5.63 / 36.75 ± 3.29	38.55 ± 0.48 / 5.75 ± 0.20	-0.99 ± 0.88 / 33.37 ± 0.27	-0.15 ± 0.72 / 32.83 ± 0.34	0.53 ± 0.31 / 22.14 ± 2.25	0.63 ± 1.48 / 24.41 ± 1.24	-0.09 ± 0.80 / 24.42 ± 0.74	0.01 ± 0.02 / 0.11 ± 0.12	33.50 ± 13.13 / 39.30 ± 11.93	-0.02 ± 0.60 / 34.92 ± 2.99	4.79 ± 3.55 / 18.06 ± 2.80	26.97 ± 0.41 / 6.56 ± 0.18	-0.11 ± 1.16 / 23.32 ± 0.92	0.56 ± 1.22 / 24.79 ± 0.91	9.3.1	10.0.1	10.0.1	12.5.1	12.6.1	10.0.1	10.0.1	10.0.1	9.3.1	9.3.1	10.0.1	11.0.0	10.0.1	10.0.1	12.5.1	10.0.1	10.0.1	9.3.1	10.0.1	10.0.1	12.5.1	11.0.0	10.0.1	10.0.1
NorGLM/NorGPT-369M (few-shot)	unknown	64	1024	True	19,896 ± 5,099 / 3,848 ± 1,251	4.72	4.54	4.78	4.83	1.13 ± 1.19 / 0.97 ± 1.03	2.06 ± 2.30 / 20.38 ± 2.71	-0.36 ± 0.97 / 41.52 ± 4.00	0.32 ± 0.12 / 4.20 ± 0.61	54.00 ± 0.80 / 9.08 ± 0.87	-2.57 ± 2.04 / 23.19 ± 1.37	3.26 ± 1.64 / 29.55 ± 2.52	-0.62 ± 0.87 / 24.55 ± 0.66	3.14 ± 2.12 / 2.91 ± 2.02	3.00 ± 1.58 / 2.65 ± 1.41	3.41 ± 2.11 / 14.87 ± 2.38	45.57 ± 1.88 / 4.96 ± 0.39	0.22 ± 0.42 / 33.42 ± 0.29	0.27 ± 0.79 / 38.20 ± 3.48	0.00 ± 0.00 / 2.27 ± 0.89	-0.45 ± 1.48 / 24.16 ± 1.48	-0.27 ± 0.89 / 24.77 ± 0.63	1.47 ± 1.90 / 1.32 ± 1.69	5.50 ± 4.49 / 28.77 ± 3.76	-2.19 ± 1.29 / 40.52 ± 3.02	0.10 ± 0.06 / 4.36 ± 0.44	37.40 ± 0.61 / 6.53 ± 0.13	-0.53 ± 1.01 / 24.38 ± 1.08	0.25 ± 1.22 / 25.23 ± 0.73	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2	12.5.2
peter-sk/gpt-neox-da (few-shot)	1515	50	1024	True	6,025 ± 1,442 / 1,342 ± 431	4.79	4.67	4.92	4.78	0.64 ± 0.89 / 0.52 ± 0.69	-0.52 ± 1.72 / 28.55 ± 1.60	-0.02 ± 1.55 / 36.82 ± 2.52	0.48 ± 0.27 / 2.89 ± 0.53	50.23 ± 0.89 / 6.09 ± 0.27	0.90 ± 0.92 / 26.20 ± 1.02	4.10 ± 2.68 / 33.71 ± 1.88	0.04 ± 1.16 / 25.21 ± 0.48	0.29 ± 0.29 / 0.29 ± 0.27	0.25 ± 0.17 / 0.27 ± 0.21	-1.43 ± 1.45 / 20.90 ± 4.96	41.89 ± 1.40 / 3.46 ± 0.33	-0.42 ± 1.10 / 35.77 ± 3.09	1.11 ± 2.21 / 39.28 ± 4.12	0.00 ± 0.00 / 3.15 ± 0.55	0.69 ± 0.71 / 24.93 ± 0.99	0.55 ± 0.68 / 25.11 ± 0.43	0.26 ± 0.16 / 0.26 ± 0.14	4.75 ± 2.54 / 27.85 ± 1.59	-0.60 ± 1.56 / 40.53 ± 2.93	0.06 ± 0.09 / 1.07 ± 0.35	41.84 ± 0.24 / 5.74 ± 0.09	-0.41 ± 1.39 / 24.48 ± 0.97	0.52 ± 0.81 / 25.32 ± 0.65	10.0.1	10.0.1	10.0.1	10.0.1	12.6.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	11.0.0	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	10.0.1	11.0.0	10.0.1	10.0.1
ssmits/Falcon2-5.5B-multilingual (few-shot)	5465	65	8192	True	7,692 ± 1,423 / 1,960 ± 644	4.87	4.88	4.91	4.82	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 18.12 ± 0.19	0.00 ± 0.00 / 33.25 ± 0.23	0.02 ± 0.02 / 0.03 ± 0.03	42.82 ± 0.93 / 0.20 ± 0.02	4.55 ± 2.15 / 25.74 ± 1.15	-1.17 ± 3.12 / 34.84 ± 1.63	-1.26 ± 1.34 / 24.88 ± 0.69	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 9.59 ± 0.29	41.98 ± 0.64 / 0.21 ± 0.04	0.00 ± 0.00 / 33.25 ± 0.30	0.00 ± 0.00 / 32.79 ± 0.34	0.00 ± 0.00 / 0.09 ± 0.03	1.14 ± 1.04 / 24.51 ± 0.78	0.64 ± 1.18 / 24.68 ± 0.55	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 19.16 ± 0.14	0.00 ± 0.00 / 33.30 ± 0.27	0.00 ± 0.00 / 0.00 ± 0.00	40.82 ± 1.17 / 0.34 ± 0.05	1.19 ± 1.32 / 24.74 ± 1.06	1.55 ± 0.84 / 25.30 ± 0.69	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0	13.0.0
Sigurdur/icebreaker (few-shot)	110	32	1024	False	48,619 ± 7,681 / 13,831 ± 4,404	4.96	5.03	4.97	4.88	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 18.12 ± 0.19	0.00 ± 0.00 / 33.25 ± 0.23	0.00 ± 0.00 / 0.04 ± 0.01	37.85 ± 0.55 / 0.76 ± 0.08	0.26 ± 0.46 / 23.72 ± 0.47	-0.75 ± 1.90 / 34.96 ± 1.13	-0.88 ± 0.48 / 24.60 ± 0.50	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 9.59 ± 0.29	39.58 ± 0.08 / 0.78 ± 0.04	0.00 ± 0.00 / 33.25 ± 0.30	0.00 ± 0.00 / 32.79 ± 0.34	0.00 ± 0.00 / 0.47 ± 0.03	0.18 ± 0.69 / 22.92 ± 0.50	-0.09 ± 0.53 / 24.70 ± 0.47	0.00 ± 0.00 / 0.00 ± 0.00	-3.60 ± 3.63 / 20.29 ± 1.99	0.00 ± 0.00 / 33.30 ± 0.27	0.00 ± 0.00 / 0.05 ± 0.03	39.68 ± 0.08 / 1.23 ± 0.02	-0.20 ± 0.77 / 24.13 ± 0.67	-0.25 ± 0.67 / 24.68 ± 0.44	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0	12.7.0
ai-forever/mGPT (few-shot)	unknown	100	1024	True	11,734 ± 3,124 / 2,174 ± 720	4.98	4.95	5.07	4.91	0.65 ± 0.68 / 0.59 ± 0.63	2.61 ± 2.75 / 20.51 ± 2.48	-0.73 ± 1.72 / 41.15 ± 3.71	1.99 ± 1.69 / 2.68 ± 1.87	35.64 ± 4.11 / 4.70 ± 2.01	-0.61 ± 0.54 / 24.71 ± 1.18	6.94 ± 3.67 / 38.18 ± 1.72	-1.12 ± 0.87 / 24.71 ± 0.88	0.08 ± 0.16 / 0.07 ± 0.14	0.00 ± 0.00 / 0.00 ± 0.00	4.76 ± 1.84 / 16.95 ± 5.07	31.66 ± 0.51 / 0.93 ± 0.29	0.67 ± 1.94 / 40.42 ± 4.43	-0.88 ± 1.89 / 40.70 ± 4.30	0.00 ± 0.00 / 0.74 ± 0.05	0.72 ± 0.81 / 22.86 ± 0.63	-0.20 ± 1.06 / 24.94 ± 0.69	0.00 ± 0.00 / 0.00 ± 0.00	0.00 ± 0.00 / 19.32 ± 0.16	0.49 ± 1.29 / 39.12 ± 3.92	6.24 ± 3.13 / 7.85 ± 3.67	31.89 ± 0.27 / 2.03 ± 0.10	-0.37 ± 1.08 / 22.43 ± 0.55	0.36 ± 0.83 / 25.08 ± 0.77	9.3.1	10.0.1	11.0.0	12.5.1	12.6.1	11.0.0	11.0.0	11.0.0	9.3.1	9.3.1	10.0.1	12.0.0	11.0.0	11.0.0	12.5.1	11.0.0	11.0.0	9.3.1	10.0.1	11.0.0	12.5.1	12.0.0	11.0.0	11.0.0

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