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README.md

@@ -63,6 +63,15 @@ outputs = model.generate(**inputs)
 response = tokenizer.decode(outputs[0])
 ```
 
+## Benchmarks
+
+The model has been evaluated on standard benchmarks to verify its performance:
+
+- **MMLU**: 69.19% (5-shot)
+- **IFEval**: 73.2% (Prompt Strict-Accuracy)
+
+These results demonstrate that the ReLU modification maintains competitive performance while achieving higher sparsity compared to the original model.
+
 ## Citation
 
 If you use this model in your research, please cite: