Update README.md

README.md

@@ -103,6 +103,7 @@ output_ids = generated_ids[0][len(model_inputs.input_ids[0]) :]
 print(tokenizer.decode(output_ids, skip_special_tokens=True))
 
 ```
+> You can optionally compile the model’s forward pass using torch.compile, which can provide a significant speed boost (especially after the first run). Please consider that the first run will take longer because PyTorch compiles optimized kernels, but subsequent runs will be much faster.
 
 <details>
 <summary><span style="font-size:1.1em; font-weight:bold;">🧩 Quantization Process</span></summary>