Natural Language Inference on ANLI 1
36.4Accuracy (ANLI 1)Dense
Evaluation results
| Method | Links | |
|---|---|---|
| DenseBase Model=LLaMA-2-7B, Sparsity=Dense2025.06 | 36.4 | |
| MaskProBase Model=LLaMA-2-7B, Sparsity=2:42025.06 | 34.4 | |
| DenseBase Model=DeepSeek-7B, Sparsity=Dense2025.06 | 34.1 | |
| Pruner-ZBase Model=LLaMA-2-7B, Sparsity=2:42025.06 | 33.6 | |
| SparsegptBase Model=LLaMA-2-7B, Sparsity=2:42025.06 | 33.2 | |
| MaskProBase Model=DeepSeek-7B, Sparsity=2:42025.06 | 32.2 | |
| Pruner-ZBase Model=DeepSeek-7B, Sparsity=2:42025.06 | 31.19 | |
| SparsegptBase Model=DeepSeek-7B, Sparsity=2:42025.06 | 31.1 |