Update README.md

updates to model card with download instructions

README.md

@@ -18,14 +18,16 @@ python3 ~/convert_mistral_weights_to_hf-22B.py --input_dir ~/Codestral-22B-v0.1/
 
 Then measurements.json was created using [exllamav2](https://github.com/turboderp/exllamav2/blob/master/doc/convert.md)
 ```
-python convert.py -i ~/models/Codestral-22B-v0.1-hf/ -o /tmp/exl2/ -nr -om ~/models/Machinez_Codestral-22B-v0.1-exl2/measurement.json
+python3 convert.py -i ~/models/Codestral-22B-v0.1-hf/ -o /tmp/exl2/ -nr -om ~/models/Machinez_Codestral-22B-v0.1-exl2/measurement.json
 ```
 
 Finally quantized (eg. 4.0bpw)
 ```
-python convert.py -i ~/models/Codestral-22B-v0.1-hf/ -o /tmp/exl2/ -nr -m ~/models/Machinez_Codestral-22B-v0.1-exl2/measurement.json -cf ~/models/Machinez_Codestral-22B-v0.1-exl2_4.0bpw/ -b 4.0
+python3 convert.py -i ~/models/Codestral-22B-v0.1-hf/ -o /tmp/exl2/ -nr -m ~/models/Machinez_Codestral-22B-v0.1-exl2/measurement.json -cf ~/models/Machinez_Codestral-22B-v0.1-exl2_4.0bpw/ -b 4.0
 ```
 
+
+
 # Model Card for Codestral-22B-v0.1
 
 Codestrall-22B-v0.1 is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash (more details in the [Blogpost](https://mistral.ai/news/codestral/)). The model can be queried:
@@ -121,6 +123,39 @@ num1, num2):
     # return the sum
 ```
 
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4_0 https://huggingface.co/machinez/Codestral-22B-v0.1-exl2-exl2
+```
+
+With huggingface hub:
+
+```shell
+pip3 install -U "huggingface_hub[cli]"
+```
+
+## (optional)
+```shell
+git config --global credential.helper 'store --file ~/.my-credentials'
+huggingface-cli login
+```
+
+To download the `main` (only useful if you only care about measurement.json) branch to a folder called `machinez_Codestral-22B-v0.1-exl2`:
+
+```shell
+mkdir machinez_Codestral-22B-v0.1-exl2
+huggingface-cli download machinez/Codestral-22B-v0.1-exl2 --local-dir machinez_Codestral-22B-v0.1-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir machinez_Codestral-22B-v0.1-exl2_4.0bpw
+huggingface-cli download machinez/Codestral-22B-v0.1-exl2 --revision 6_0 --local-dir machinez_Codestral-22B-v0.1-exl2_6.0bpw --local-dir-use-symlinks False
+
 ## Limitations
 
 The Codestral-22B-v0.1 does not have any moderation mechanisms. We're looking forward to engaging with the community on ways to