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Multi-task Language Understanding on MMLU (Accuracy, Exit Position)

73.1AccuracyMinistral3 8B
22.03635.29348.5561.807Apr 20, 2026May 1, 2026May 12, 2026May 23, 2026Jun 3, 2026Jun 14, 2026Jun 26, 2026

Evaluation results

MethodLinks
Ministral3 8BModel Architecture=Ministral3 8B (34 layers), Evaluation Protocol=Backbone2026.0473.1—
River-LLMModel Architecture=Ministral3 8B (34 layers), Early-exit threshold (tau)=0.8, Evaluation Protocol=Adaptive2026.0472.72.01
River-LLMModel Architecture=Ministral3 8B (34 layers), Early-exit threshold (tau)=0.9, Evaluation Protocol=Adaptive2026.0472.72.76
Phi4-miniModel Architecture=Phi4-mini (32 layers), Evaluation Protocol=Backbone2026.0466.7—
River-LLMModel Architecture=Phi4-mini (32 layers), Early-exit threshold (tau)=0.9, Evaluation Protocol=Adaptive2026.0465.44.48
River-LLMModel Architecture=Phi4-mini (32 layers), Early-exit threshold (tau)=0.8, Evaluation Protocol=Adaptive2026.0464.12.07
Pre-trainedModel=Gemma-3-4B2026.0659.58—
AlphaTokenModel=Gemma-3-4B2026.0657.83—
ssTOKENModel=Gemma-3-4B2026.0656.62—
STMModel=Gemma-3-4B2026.0656.4—
LoRAModel=Gemma-3-4B2026.0655.92—
XTFModel=Gemma-3-4B2026.0655.8—
Token CleaningModel=Gemma-3-4B2026.0655.72—
LESSModel=Gemma-3-4B2026.0655.34—
Standard FTModel=Gemma-3-4B2026.0652.96—
MoE with MPIModel Scale=11B, Setup=5-shot2026.0650.93—
MoEModel Scale=11B, Setup=5-shot2026.0650—
MoE with MPIModel Scale=3B, Setup=5-shot2026.0648.83—
MoEModel Scale=3B, Setup=5-shot2026.0647.01—
AuroraModel Size=1.1B, Evaluation Protocol=5-shot2026.0638.8—
NorMuonModel Size=1.1B, Evaluation Protocol=5-shot2026.0630.1—
MuonModel Size=1.1B, Evaluation Protocol=5-shot2026.0629.7—
U-NorMuonModel Size=1.1B, Evaluation Protocol=5-shot2026.0629.1—
NorMuonModel Size=340M, Evaluation Protocol=5-shot2026.0625.7—
U-NorMuonModel Size=340M, Evaluation Protocol=5-shot2026.0625.4—
MuonModel Size=340M, Evaluation Protocol=5-shot2026.0624.7—
AuroraModel Size=340M, Evaluation Protocol=5-shot2026.0624—