Update README.md

README.md

@@ -26,7 +26,7 @@ This model is adapted from `unsloth/DeepSeek-R1-0528-BF16` by adding an MTP laye
 **Important Notes:**
 - When loading this model, you must set `trust_remote_code=True` to ensure that changes related to the MTP layer in `modeling_deepseek.py` take effect.
 - After loading this model with `transformers`, **evaluation should NOT be performed directly**. The reason is that the forward function for the added MTP layer in `modeling_deepseek.py` is implemented only for calibration during the quantization process, so computation is not guaranteed to be the same as the original DeepSeek-R1-0528.
-- Therefore, when quantizing with AMD-Quark, you **must add the `--skip_evaluation` option** to skip the evaluation step and only perform quantization.
+- Therefore, when quantizing with [AMD-Quark](https://quark.docs.amd.com/latest/index.html), you **must add the `--skip_evaluation` option** to skip the evaluation step and only perform quantization.
 
 Below is an example of how to quantize this model: