Zero-shot Prediction on Winogrande
69.06AccuracyDense
Evaluation Results
| Method | Links | |
|---|---|---|
| DenseSparsity=0%, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 69.06 | |
| SparseGPTSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 68.11 | |
| ALPSSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 67.25 | |
| L-ADMMSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 67.17 | |
| WandaSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 66.93 | |
| SparseLLMSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 66.46 | |
| SparseGPTSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 66.38 | |
| L-ADMMSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 66.38 | |
| ALPSSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 65.98 | |
| SparseLLMSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 65.82 | |
| SAFESparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 65.04 | |
| ELSASparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 63.85 | |
| ELSASparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 63.22 | |
| WandaSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 62.51 | |
| MagnitudeSparsity=4:8, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 62.19 | |
| SAFESparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 61.8 | |
| MagnitudeSparsity=2:4, Backbone=LLaMA-2-7B, Zero-shot=true2025.10 | 61.01 |