List your company

Commonsense QA Suite (ARC-E, ARC-C, HellaS, WinoG, BoolQ, OBQA, RTE, CoPa, Race) Zero-Shot

81.19ARC-Easy AccuracyDense
30.323643.529356.73569.9407May 15, 2026

Evaluation results

MethodLinks
DenseBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=0/32, Zero-shot=true, Training-free=true2026.0581.1953.4178.9273.6482.1144.869.688739.1467.77
DenseBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=0/32, Zero-shot=true, Training-free=true2026.0577.6553.4179.1672.3881.354569.68894067.51
Ghosted LayersBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0568.014366.671.5971.3137.268.597637.860.01
DenseBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=0/32, Zero-shot=true, Training-free=true2026.0565.8742.4174.3567.882.9141.269.688941.6363.87
Ghosted LayersBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0565.8243.6966.5571.2774.3437.266.437936.5660.1
ReplaceMe (Ls)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0564.943.5263.871.6769.637.871.487737.3259.68
ReplaceMe (Ls)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0563.1343.8664.0772.8571.313868.597736.2759.45
Shortened LLaMABackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0561.3233.1159.5554.2243.7635.251.627731.2949.67
Shortened LLaMABackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0558.8432.6859.1653.7545.3834.454.157530.7249.34
ShortGPTBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0558.2942.1564.9668.3561.9934.469.688034.4557.14
Linear Patch (Rotate)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0557.6237.2954.9165.4360.4935.869.686929.1953.27
ReplaceMe (Cos)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0557.0337.2952.1464.2539.3635.862.826831.149.75
ShortGPTBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0556.6542.4164.6971.3565.1432.867.877534.1656.67
Ghosted LayersBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0555.8137.0361.367.2568.473772.928139.4357.8
ReplaceMe (Ls)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0555.3537.0359.9766.4669.0835.275.098037.857.33
Linear Patch (Rotate)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0554.0836.1853.2964.2572.9733.862.827232.9253.59
ReplaceMe (Cos)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0552.135.6752.3866.6939.2434.663.96730.0549.07
ReplaceMe (Cos)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0551.0936.0953.4864.1758.013658.847433.4951.69
Linear Patch (Diag)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0551.0935.3249.5962.2762.7834.666.437330.0551.68
Linear Patch (Rotate)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0550.9334.9847.362.1974.6530.471.486831.5852.39
Linear Patch (Diag)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0550.6736.648.5562.5171.313171.84683152.39
Linear Patch (Rotate)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0550.5134.5649.963.7757.4933.467.156830.1450.55
Ghosted LayersBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0550.0834.6452.7369.372.6331.869.687232.4453.92
LLM-StreamlineBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0549.9235.2446.3361.5651.9932.457.47027.2748.01
ShortGPTBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0549.1237.0355.9563.0677.093474.737133.2155.02
Shortened LLaMABackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0548.6529.2749.8151.7861.6530.650.97128.2346.88
Linear Patch (Diag)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0548.3632.6847.3661.5663.73568.236829.2850.46
Ghosted LayersBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0548.2334.5653.3569.7775.5732.465.77132.3453.66
Linear Patch (Rotate)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0548.1534.5645.0461.475.4731.666.796831.2951.37
Linear Patch (Diag)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0546.3435.1547.7261.0171.743170.766830.9151.4
Prune and CompBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0546.2530.8944.2259.1253.913560.296728.6147.25
Shortened LLaMABackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0545.7129.6955.6657.764.6530.450.547630.6249
Linear Patch (Diag)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0545.5834.943.9758.3377.4631.668.236429.5750.4
Prune and CompBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0544.9931.0643.4456.1253.1231.860.656426.7945.77
ReplaceMe (Ls)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0544.5334.0447.2367.473.5529.870.766729.9551.58
LLM-StreamlineBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0544.1933.1133.3956.9938.232.658.126125.8442.6
Linear Patch (Diag)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0543.8631.7444.1460.8561.2533.665.346829.0948.65
Linear Patch (Rotate)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0543.6932.7644.2259.1977.3430.470.046530.7250.37
ReplaceMe (Cos)Backbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0543.3532.5937.0256.7558.1329.668.236231.9646.63
Prune and CompBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0542.9729.6941.6458.8852.8433.862.097027.0846.55
ReplaceMe (Ls)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0542.9333.8747.367.475.7532.464.626931.6751.66
Ghosted LayersBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0542.7232.5948.0964.3375.4131.874.016634.0752.11
ReplaceMe (Cos)Backbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0542.6833.4538.2758.5661.929.262.096030.0546.24
Shortened LLaMABackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0541.7528.8442.8454.355.2327.853.797026.9944.62
ReplaceMe (Ls)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0540.1930.6344.761.466.453274.736533.7849.88
LLM-StreamlineBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=7/32, Zero-shot=true, Training-free=true2026.0539.6928.8433.1855.4938.0729.657.46024.0240.7
LLM-StreamlineBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0539.6930.2931.4956.1255.1130.469.686128.3344.68
ShortGPTBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0539.6930.2931.4956.1255.1130.469.686128.3344.68
Shortened LLaMABackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0538.5430.3829.0550.9159.828.250.266229.3842.05
Prune and CompBackbone=LLaMA-3.1-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0538.5127.340.553.2862.0829.453.795725.1743
LLM-StreamlineBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0538.1729.6933.0456.6756.1530.270.045727.1844.24
ShortGPTBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0538.1729.6933.0456.6756.1530.270.045727.1844.24
ReplaceMe (Cos)Backbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0538.0530.5540.7454.9377.5228.667.516530.8148.19
LLM-StreamlineBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0537.0831.6638.7255.1775.227.464.266326.2246.52
ShortGPTBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0537.0831.6638.7255.1775.227.464.266326.2246.52
Prune and CompBackbone=DeepSeek-R1-Distill-LLaMA-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0536.4529.136.3250.9964.6227.460.295624.442.84
Prune and CompBackbone=LLaMA-3-8B, Pruning Ratio (Lp/Lt)=11/32, Zero-shot=true, Training-free=true2026.0532.282537.7850.9955.930.449.465823.2540.34