Update README.md

README.md

@@ -265,7 +265,7 @@ pip install -U "huggingface_hub[cli]"
 Then, you can target the specific file you want:
 
 ```
-huggingface-cli download bartowski/Meta-Llama-3-70B-Instruct-GGUF --include "Meta-Llama-3-70B-Instruct-Q4_K_M.gguf" Meta-Llama-3-70B-Instruct-Q4_K_M.gguf --local-dir-use-symlinks False
+huggingface-cli download bartowski/Meta-Llama-3-70B-Instruct-GGUF --include "Meta-Llama-3-70B-Instruct-Q4_K_M.gguf" --local-dir ./ --local-dir-use-symlinks False
 ```
 
 If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
@@ -274,6 +274,8 @@ If the model is bigger than 50GB, it will have been split into multiple files. I
 huggingface-cli download bartowski/Meta-Llama-3-70B-Instruct-GGUF --include "Meta-Llama-3-70B-Instruct-Q8_0.gguf/*" --local-dir Meta-Llama-3-70B-Instruct-Q8_0 --local-dir-use-symlinks False
 ```
 
+You can either specify a new local-dir (Meta-Llama-3-70B-Instruct-Q8_0) or download them all in place (./)
+
 ## Which file should I choose?
 
 A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)