List your company

Aggregate LLM Evaluation on (MATH, GSM8K, H_Eval, MMLU, CEVAL, CMMLU, BoolQ, CSQA)

81.41Aggregate AccuracyQwen3-30B-A3B
9.140427.902746.66565.4273May 14, 2026

Evaluation results

MethodLinks
Qwen3-30B-A3BSparsity Level=Base2026.0581.418
BEAMSparsity Level=Mid Sparsity, beta=0.012026.0579.994.23
Top-K ReducedSparsity Level=Mid Sparsity, K=42026.0578.94
MoE-DynamicSparsity Level=Mid Sparsity, phi=0.32026.0577.495.04
BEAMSparsity Level=High Sparsity, beta=0.12026.0577.141.23
Top-K ReducedSparsity Level=High Sparsity, K=22026.0572.182
BEAMSparsity Level=Extreme Sparsity, beta=1.02026.0571.910.56
Top-K PruningSparsity Level=Mid Sparsity, K=42026.0569.64
MoE-DynamicSparsity Level=High Sparsity, phi=0.12026.0567.931.74
AdaMoESparsity Level=Mid Sparsity, Null=1282026.0566.814.02
DeepSeekV2-LiteK=6, Avg. K=6.002026.0555.15—
BEAMSparsity Level=Mid Sparsity, beta=0.01, Avg. K=2.612026.0555.06—
Top-K ReducedSparsity Level=Mid Sparsity, K=4, Avg. K=4.002026.0554.32—
Top-K ReducedSparsity Level=Extreme Sparsity, K=12026.0553.951
BEAMSparsity Level=High Sparsity, beta=0.1, Avg. K=1.082026.0553.32—
AdaMoESparsity Level=High Sparsity, Null=2562026.0551.012.64
Top-K PruningSparsity Level=Mid Sparsity, K=4, Avg. K=4.002026.0550.88—
Top-K ReducedSparsity Level=High Sparsity, K=2, Avg. K=2.002026.0550.27—
MoE-DynamicSparsity Level=Mid Sparsity, phi=0.3, Avg. K=4.312026.0547.7—
BEAMSparsity Level=Extreme Sparsity, beta=1.0, Avg. K=0.482026.0547.39—
AdaMoESparsity Level=Mid Sparsity, Null=64, Avg. K=3.252026.0547.09—
MoE-DynamicSparsity Level=High Sparsity, phi=0.1, Avg. K=3.902026.0544.9—
Top-K PruningSparsity Level=High Sparsity, K=2, Avg. K=2.002026.0542.1—
AdaMoESparsity Level=High Sparsity, Null=128, Avg. K=2.112026.0541.31—
Top-K ReducedSparsity Level=Extreme Sparsity, K=1, Avg. K=1.002026.0535.77—
Top-K PruningSparsity Level=High Sparsity, K=22026.0511.922