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

83.42ARC-e AccuracyQwen3-8B
71.25274.41177.5780.729Oct 8, 2025

Evaluation results

MethodLinks
Qwen3-8BArchitecture=Transformer, Training Tokens (B)=360002025.1083.4256.7474.961.1176.6168.1174.9370.83
FalconMamba-7BArchitecture=Linear/Subquadratic, Training Tokens (B)=55002025.1083.3358.4580.2261.680.275.5360.2771.37
NHA-Qwen2.5-7BArchitecture=Hybrid, Training Tokens (B)=10, Full-attention layers=42025.1082.7455.9776.4964.5478.7371.0368.871.19
Mistral-7BArchitecture=Transformer, Training Tokens (B)=80002025.1080.8554.0181.0869.4980.973.6462.571.78
NHA-Llama-3-8BArchitecture=Hybrid, Training Tokens (B)=10, Full-attention layers=42025.1080.7652.4778.9367.2679.7172.8560.2170.31
Qwen2.5-7BArchitecture=Transformer, Training Tokens (B)=180002025.1080.4351.4578.9364.778.7873.0974.1871.65
Llama-3-8BArchitecture=Transformer, Training Tokens (B)=150002025.1080.353.0779.1468.8979.672.7765.3471.3
Zamba2-7BArchitecture=Hybrid, Training Tokens (B)=2100, Full-attention layers=92025.1080.1356.2381.5259.0979.0577.1967.2771.5
StripedHyena-7BArchitecture=Hybrid, Full-attention layers=162025.1078.6253.7579.1160.7880.0370.3254.0768.1
Mamba-7BArchitecture=Linear/Subquadratic, Training Tokens (B)=12002025.1077.6146.8477.9365.5379.8771.7433.1964.67
Griffin-7BArchitecture=Linear/Subquadratic, Training Tokens (B)=3002025.1075.447.978.6—8172.639.3—
RWKV-6-World-7BArchitecture=Linear/Subquadratic, Training Tokens (B)=14202025.1073.6143.8675.1769.2678.3567.7243.3964.48
Zamba-7BArchitecture=Hybrid, Training Tokens (B)=1000, Full-attention layers=132025.1071.7245.5680.8164.8480.4172.1457.6867.59