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Commonsense Reasoning on BoolQ, PIQA, HellaS, WinoG, ARC-e, ARC-c, OBQA

72.8Average AccuracyDense
34.028844.094454.1664.2256Dec 24, 2024Mar 24, 2025Jun 23, 2025Sep 21, 2025Dec 21, 2025Mar 21, 2026Jun 20, 2026

Evaluation results

MethodLinks
DenseSparsity=0%2026.0672.882.1481.0781.8977.4384.8157.6844.6
MEAPModel=Qwen2.5-14B2025.0271.7787.3779.3379.3772.6979.3856.8347.4
FoRAModel=LLaMA-2-13B, Params (M)=43.92026.0571.184.182.281.476.875.45146.8
FoRAModel=LLaMA-3.1-8B, Params (M)=28.32026.0570.884.282.180.377.276.550.245.1
DensePrune%=0%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1270.3981.180.6979.1373.1680.1353.4945
DenseBudget=100%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0570.384.6179.7178.957377.451.0147.4
AdaLoRAModel=LLaMA-3.1-8B, Params (M)=113.32026.0570.383.281.679.67675.45046
AdaLoRAModel=LLaMA-2-13B, Params (M)=174.42026.0570.283.58280.175.575.849.544.8
NTPModel=Qwen2.5-14B2025.0269.6386.7377.6478.4468.1974.7153.6748
DenseKV cache budget%=100%, Evaluation Protocol=Zero-shot, Model=LLaMA-2-13B2025.1269.5180.9280.5279.3671.9879.6349.1545
AdaLoRAModel=LLaMA-2-7B, Params (M)=112.22026.0568.481.780.276.271.87646.845.8
Token FilteringPrune%=20%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1267.9480.477.3774.2173.876.8550.1742.8
FoRAModel=LLaMA-2-7B, Params (M)=28.02026.0567.279.778.97471.375.446.544.8
H2OKV cache budget%=50%, Evaluation Protocol=Zero-shot, Model=LLaMA-2-13B2025.1266.9979.8877.2677.4171.5172.9347.1542.8
AdaLoRAModel=LLaMA-3.2-3B, Params (M)=66.12026.0566.578.277.974.871.674.245.743
LLaMA-7BPrune%=0%, #Params=6.7B, Zero-shot=true2024.1266.0975.0879.1676.27072.8944.8844.4
LoRAP + UniRankSparsity=25%2026.0666.0576.8778.3173.7769.975.4947.6740.4
Token PruningKV cache budget%=50%, Evaluation Protocol=Zero-shot, Model=LLaMA-2-13B2025.1265.979.7677.0474.5671.0371.7245.2242
MEAPModel=Llama-3.2-3B2025.0265.5871.877.5374.2668.5173.0649.3244.6
PASERQuantization=AWQ 4bits, Model=LLaMA2-7B2025.0265.54———————
SlimGPTPrune%=20%, #Params=5.4B, Zero-shot=true2024.1265.0774.5978.9474.468.4370.543.2645.4
DenseBudget=100%¹, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0564.4682.4579.0576.966.1462.2542.8341.6
NTPModel=Llama-3.2-3B2025.0264.3275.5476.572.4364.3369.0747.9544.4
DoRAModel=LLaMA-3.1-8B, Params (M)=57.42026.0564.180.278.773.967.563.340.444.8
DoRAModel=LLaMA-2-13B, Params (M)=89.22026.0564.180.978.775.96957.938.847.6
FoRAModel=LLaMA-3.2-3B, Params (M)=16.52026.056471.877.572.871.869.742.341.6
LoRAModel=LLaMA-3.1-8B, Params (M)=56.62026.056481.279.37469.959.140.144.6
LoRAModel=LLaMA-2-13B, Params (M)=87.82026.056479.378.975.869.359.53946.6
SlimGPT w/o tunePrune%=20%, #Params=5.4B, Zero-shot=true2024.1263.8175.9377.5873.0767.9668.641.7241.8
IFDQuantization=AWQ 4bits, Model=LLaMA2-7B2025.0263.46———————
DoRAModel=LLaMA-2-7B, Params (M)=57.02026.0563.381.677.571.666.963.137.345.4
Instruction MiningQuantization=AWQ 4bits, Model=LLaMA2-7B2025.0263.19———————
NuggetsQuantization=AWQ 4bits, Model=LLaMA2-7B2025.0263.13———————
LoRAModel=LLaMA-2-7B, Params (M)=56.12026.0563.181.377.271.266.562.83745
LoRAPSparsity=25%2026.0663.0974.576.0670.3365.5473.2344.9737
LoRAModel=LLaMA-3.2-3B, Params (M)=33.02026.056378.176.87165.766.24142.2
SlimGPT w/oPrune%=20%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1262.7674.3177.8666.3366.0673.1541.9839.6
SlimGPT w/o tunePrune%=25%, #Params=5.0B, Zero-shot=true2024.1262.4775.1176.7770.667.2566.7540.440.4
SlimGPTPrune%=25%, #Params=5.0B, Zero-shot=true2024.1262.4573.4677.4272.0765.5167.1741.1340.4
RandomQuantization=AWQ 4bits, Model=LLaMA2-7B2025.0262.41———————
ShortGPTSparsity=25%2026.0662.3572.0573.9469.2370.9668.0143.8638.4
Full DataQuantization=AWQ 4bits, Model=LLaMA2-7B2025.0262.32———————
Shortened-llamaSparsity=25%2026.0662.1571.1973.7269.5671.8266.8844.4537.4
LLM-Pruner*Prune%=20%, #Params=5.4B, Zero-shot=true2024.1261.566.7678.4571.4463.7766.4139.8543.8
DoRAModel=LLaMA-3.2-3B, Params (M)=33.52026.0561.577.876.471.864.661.237.841
w/o TrainingQuantization=AWQ 4bits, Model=LLaMA2-7B2025.0261.47———————
SlimGPTPrune%=33%, #Params=4.5B, Zero-shot=true2024.1261.4171.5376.6670.5566.0664.3539.3341.4
SkipGPTSparsity=25%2026.0660.4370.6756.9674.2262.8378.7949.9129.6
SlimGPT w/o tunePrune%=33%, #Params=4.5B, Zero-shot=true2024.1260.3772.7275.6868.166.5462.2937.0340.2
LoraPrunePrune%=20%, #Params=5.4B, Zero-shot=true2024.1260.0665.6279.317062.7665.8737.6939.14
CompressoPrune%=20%, #Params=5.4B, Zero-shot=true2024.1259.5175.4653.4467.868.6437.9734.259.51
Token FilteringPrune%=50%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1259.3180.2870.1363.3771.0355.5638.8236
LoRAP + UniRankSparsity=40%2026.0659.1371.1273.4563.8466.1764.8939.2935.2
SkipGPTSparsity=40%2026.0658.8566.5770.7865.1756.7572.3942.6637.6
LLM-Pruner*Prune%=25%, #Params=5.0B, Zero-shot=true2024.1258.6762.8176.9369.2160.4663.3438.1439.8
PPPrune%=20%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1258.6664.6877.4565.5561.5165.3639.2836.8
AdaLoRAModel=LLaMA-3.2-1B, Params (M)=30.42026.0558.165.274.363.96362.136.841.2
MEAPModel=Mistral-7B-0.22025.0257.6272.6373.564.0861.1759.1837.235.6
MHA-DropBudget=80%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0557.5959.9175.967.6158.9661.7341.8937.2
NTPModel=Mistral-7B-0.22025.0257.5275.8171.2263.0361.460.135.6735.4
FoRAModel=LLaMA-3.2-1B, Params (M)=7.62026.0557.463.973.56262.86436.739.2
RAPBudget=80%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0556.8770.4672.7463.9360.6257.8737.2935.19
LoRAPSparsity=40%2026.0656.5770.1871.2759.6961.862.5436.5234
LoRAModel=LLaMA-3.2-1B, Params (M)=15.22026.0556.562.874.561.861.261.13539
DoRAModel=LLaMA-3.2-1B, Params (M)=15.42026.0556.46374.661.660.861.935.637.4
CompressoPrune%=25%, #Params=5.0B, Zero-shot=true2024.1256.2573.5573.0749.1664.866.237.229.8
FLAPPrune%=20%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1255.7569.1471.4954.4463.6959.8534.2237.4
LLM-Pruner*Prune%=33%, #Params=4.5B, Zero-shot=true2024.1255.3962.0274.9264.4161.853.793238.8
RAPBudget=80%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0555.0564.573.3959.9856.5156.2636.0938.6
ShortGPTBudget=80%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0554.6272.266.5948.556.3561.9940.2736.4
CompressoPrune%=33%, #Params=4.5B, Zero-shot=true2024.1254.5968.6972.8547.1863.3865.9935.0729
ShortGPTSparsity=40%2026.0654.3565.3868.6158.4367.3253.3735.3232
SlimGPTPrune%=50%, #Params=3.4B, Zero-shot=true2024.1253.7665.1171.659.9459.2753.3731.8335.2
Shortened-llamaSparsity=40%2026.0653.3965.0268.0157.5564.6453.1133.0232.4
SliceGPTSparsity=25%2026.0653.3772.3966.756.9661.5650.0831.4834.4
SlimGPT w/o tunePrune%=50%, #Params=3.4B, Zero-shot=true2024.1252.2365.8770.3554.6259.5949.7131.0634.4
MHA-DropBudget=80%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0551.3942.7571.3855.657.4652.939.2540.4
ShortGPTBudget=80%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0550.6643.9872.6959.1158.4154.533.732.2
LoraPrunePrune%=50%, #Params=3.4B, Zero-shot=true2024.1249.7261.8871.5347.8655.0145.1331.6234.98
LLM-Pruner*Prune%=50%, #Params=3.4B, Zero-shot=true2024.1248.3560.2168.8847.8654.6243.9427.7335.2
SlimGPT w/oPrune%=50%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1247.6859.8370.1258.2158.1442.5725.3131.6
MoDSparsity=40%2026.0646.0750.2865.5654.0151.3838.0930.233
SliceGPTSparsity=40%2026.0645.9967.5260.6144.1555.4140.725.3428.2
MoDSparsity=25%2026.0644.9850.2864.2550.4452.4137.6728.2431.6
D-LLMSparsity=40%2026.0644.595058.5448.351.7844.8226.8831.8
FFN-SkipBudget=80%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0544.5548.6961.2642.0853.5145.1631.1430
RAPBudget=60%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0543.6454.7661.739.7251.0744.2824.3229.59
FLAPPrune%=50%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1242.6157.0658.7636.2454.5438.2224.2329.2
D-LLMSparsity=25%2026.0641.9150.3657.437.6452.4937.1228.1630.2
PPPrune%=50%, Model=LLaMA-3-8B, Evaluation Protocol=Zero-shot2025.1241.5450.0369.522953.0136.5723.9128.8
RAPBudget=60%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0540.3147.857.9933.6451.0734.3326.5430.8
FFN-SkipBudget=80%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0539.9345.2659.1936.6751.336.4122.728
ShortGPTBudget=60%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0539.8954.5556.0832.4951.0732.3724.2328.4
MHA-DropBudget=60%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0539.0545.8754.4533.1651.4533.0825.6729.59
MHA-DropBudget=60%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0538.7548.4754.328.2350.9929.6727.3832.2
FFN-SkipBudget=60%, Backbone=Qwen1.5-7B, Evaluation Protocol=Zero-shot2025.0536.3346.751.6926.4149.6425.2125.8528.79
FFN-SkipBudget=60%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0536.1645.7852.1226.8348.9324.5427.327.6
ShortGPTBudget=60%, Backbone=Qwen2.5-7B, Evaluation Protocol=Zero-shot2025.0535.5238.5954.0327.6152.826.5623.6325.4