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Long-context understanding on LongBench (eval)

39.6Qasper ScoreFixed Sparse (16, 0.02)
36.240837.112937.98538.8571May 8, 2026

Evaluation results

MethodLinks
Fixed Sparse (16, 0.02)Model Backbone=Qwen2.5-7B-Instruct, blk=16, bgt=0.022026.0539.652.9555.5829.2623.4287.3944910060.0827.9632.5423.4716.1142.95—
Fluxion (Qwen2.5-7B)Model Backbone=Qwen2.5-7B-Instruct, Sparsity Method=Fluxion2026.0539.655.5456.3629.0522.9187.2442.62910059.4629.7833.623.1816.6643.21-0.13
Fixed Sparse (32, 0.05)Model Backbone=Llama-3.1-8B-Instruct, blk=32, bgt=0.052026.0539.4352.5660.1334.4524.7594.144.99.3310065.5231.6931.5425.2116.2144.99—
Fixed Sparse (16, 0.05)Model Backbone=Qwen2.5-7B-Instruct, blk=16, bgt=0.052026.0538.7453.3156.9829.6723.4189.0343.06910060.6828.8732.0324.216.3343.24—
Fixed Sparse (32, 0.05)Model Backbone=Qwen2.5-7B-Instruct, blk=32, bgt=0.052026.0538.6451.3156.3629.1822.9588.143.9910060.828.7931.8923.4716.2942.91—
Qwen2.5-7B-Instruct (FULL)Model Backbone=Qwen2.5-7B-Instruct, Sparsity Method=FULL2026.0538.6351.2158.2329.4223.389.0143.48910061.4928.2232.9524.6417.1943.34—
Fixed Sparse (16, 0.02)Model Backbone=Llama-3.1-8B-Instruct, blk=16, bgt=0.022026.0538.4957.0660.1333.9723.8794.143.33109965.1530.7632.124.7316.0244.91—
Fixed Sparse (32, 0.02)Model Backbone=Qwen2.5-7B-Instruct, blk=32, bgt=0.022026.0538.1951.3253.8328.2322.8988.3342.93910057.0127.3130.0823.4215.4142—
Fixed Sparse (16, 0.05)Model Backbone=Llama-3.1-8B-Instruct, blk=16, bgt=0.052026.0537.6755.1560.1333.9524.4394.144.05910064.8431.2131.725.0116.2244.82—
Fluxion (Llama-3.1-8B)Model Backbone=Llama-3.1-8B-Instruct, Sparsity Method=Fluxion2026.0537.6456.9360.1334.224.4394.143.63910064.9531.2732.8924.8116.645.040.02
Llama-3.1-8B-Instruct (FULL)Model Backbone=Llama-3.1-8B-Instruct, Sparsity Method=FULL2026.0537.1954.5460.1334.2524.1894.143.91910065.331.9733.552517.1245.02—
Fixed Sparse (32, 0.02)Model Backbone=Llama-3.1-8B-Instruct, blk=32, bgt=0.022026.0536.3754.0160.2733.9523.4694.144.3510.069966.4930.9430.5124.3115.5444.53—