diff --git a/README.md b/README.md
index be2b4becde125dd0d6a8e0b0ebdee90ab147c5b4..8fbba0f6bfc60a3141a582744ab8db0f8791a72a 100644
--- a/README.md
+++ b/README.md
@@ -46,6 +46,10 @@ pip install -r requirements.txt
 
 **Please note that the above requirements.txt will install PyTorch 2.0.1 version, in case you want to run FSDP + PEFT, please make sure to install PyTorch nightlies.**
 
+# Where to find the models?
+
+You can find llama v2 models on HuggingFace hub [here](https://huggingface.co/meta-llama), where models with `hf` in the name are already converted to HuggingFace checkpoints so no further conversion is needed. The conversion step below is only for original model weights from Meta that are hosted on HuggingFace model hub as well.
+
 # Model conversion to Hugging Face
 The recipes and notebooks in this folder are using the Llama 2 model definition provided by Hugging Face's transformers library.