Update README.md

README.md

@@ -13,9 +13,9 @@ base_model:
 - **Preferred Operating System(s):** Linux
 - **Inference Engine:** [vLLM](https://docs.vllm.ai/en/latest/)
 - **Model Optimizer:** [AMD-Quark](https://quark.docs.amd.com/latest/index.html)
- - **Weight quantization:** OCP MXFP4
- - **Activation quantization:** OCP MXFP4
- - **KV cache quantization:** OCP FP8
+  - **Weight quantization:** OCP MXFP4
+  - **Activation quantization:** OCP MXFP4
+  - **KV cache quantization:** OCP FP8
 - **Calibration Dataset:** [Pile](https://huggingface.co/datasets/mit-han-lab/pile-val-backup)
 
 The model is the quantized version of the Meta-Llama 3.1-405B-Instruct model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct). The MXFP4 model is quantized with [AMD-Quark](https://quark.docs.amd.com/latest/index.html).