Commonsense Reasoning and Knowledge Understanding on ARC, HellaSwag, LAMBADA, PIQA, WinoGrande, and MMLU benchmark leaderboard · SOTA2 Research

Commonsense Reasoning and Knowledge Understanding on ARC, HellaSwag, LAMBADA, PIQA, WinoGrande, and MMLU

83.42ARC-e AccuracyQwen3-8B

Evaluation Results

Method	Links
Qwen3-8B2025.10		83.42	56.74	74.9	61.11	76.61	68.11	74.93	70.83
FalconMamba-7B2025.10		83.33	58.45	80.22	61.6	80.2	75.53	60.27	71.37
NHA-Qwen2.5-7B2025.10		82.74	55.97	76.49	64.54	78.73	71.03	68.8	71.19
Mistral-7B2025.10		80.85	54.01	81.08	69.49	80.9	73.64	62.5	71.78
NHA-Llama-3-8B2025.10		80.76	52.47	78.93	67.26	79.71	72.85	60.21	70.31
Qwen2.5-7B2025.10		80.43	51.45	78.93	64.7	78.78	73.09	74.18	71.65
Llama-3-8B2025.10		80.3	53.07	79.14	68.89	79.6	72.77	65.34	71.3
Zamba2-7B2025.10		80.13	56.23	81.52	59.09	79.05	77.19	67.27	71.5
StripedHyena-7B2025.10		78.62	53.75	79.11	60.78	80.03	70.32	54.07	68.1
Mamba-7B2025.10		77.61	46.84	77.93	65.53	79.87	71.74	33.19	64.67
Griffin-7B2025.10		75.4	47.9	78.6	—	81	72.6	39.3	—
RWKV-6-World-7B2025.10		73.61	43.86	75.17	69.26	78.35	67.72	43.39	64.48
Zamba-7B2025.10		71.72	45.56	80.81	64.84	80.41	72.14	57.68	67.59