CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
CultMerge-7B-v1	45.2	77.1	78.22	49.87	62.6

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	27.17	±	2.80
		acc_norm	25.59	±	2.74
agieval_logiqa_en	0	acc	39.48	±	1.92

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
Phi-3-Goru	38.59	70.54	59.44	38.23	51.7

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	24.02	±	2.69
		acc_norm	24.41	±	2.70
agieval_logiqa_en	0	acc	33.18	±	1.85

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
MonaTrix-7B-DPOv2	45.63	76.98	78.63	50.18	62.86

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	29.92	±	2.88
		acc_norm	27.17	±	2.80
agieval_logiqa_en	0	acc	39.94	±	1.92

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
YamshadowExperiment28-7B	44.73	77.28	78.85	49.73	62.65

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	27.56	±	2.81
		acc_norm	24.80	±	2.72
agieval_logiqa_en	0	acc	39.17	±	1.91

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
NeuralShadow-7B-v2	44.95	77.17	78.53	49.44	62.52

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	27.95	±	2.82
		acc_norm	25.20	±	2.73
agieval_logiqa_en	0	acc	39.02	±	1.91

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
NeuralShadow-7B	44.58	77.21	78.91	49.6	62.57

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	26.77	±	2.78
		acc_norm	23.62	±	2.67
agieval_logiqa_en	0	acc	38.56	±	1.91

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
ACultriX-7B	45.23	77	78.95	49.82	62.75

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	27.95	±	2.82
		acc_norm	26.38	±	2.77
agieval_logiqa_en	0	acc	39.63	±	1.92

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
dolphin-2.8-mistral-7b-v02	38.99	72.22	51.96	40.41	50.9

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	21.65	±	2.59
		acc_norm	20.47	±	2.54
agieval_logiqa_en	0	acc	35.79	±	1.88

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
Hermes-2-Pro-Mistral-7B	44.54	71.2	59.12	41.9	54.19

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	23.23	±	2.65
		acc_norm	22.83	±	2.64
agieval_logiqa_en	0	acc	38.40	±	1.91

CultriX-Github

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
Einstein-v4-7B	37.83	67.52	55.56	38.78	49.92

AGIEval

Task	Version	Metric	Value		Stderr
agieval_aqua_rat	0	acc	23.62	±	2.67
		acc_norm	22.83	±	2.64
agieval_logiqa_en	0	acc	37.33	±	1.90