Update README.md

README.md

@@ -25,7 +25,7 @@ pip install mlx-lm
 You can use `mlx-lm` from the command line. For example:
 
 ```
-python -m mlx_lm.generate --model mistralai/Mistral-7B-Instruct-v0.1 --prompt "hello"
+mlx_lm.generate --model mlx-community/Mistral-7B-Instruct-v0.3-4bit --prompt "hello"
 ```
 
 This will download a Mistral 7B model from the Hugging Face Hub and generate
@@ -34,19 +34,19 @@ text using the given prompt.
 For a full list of options run:
 
 ```
-python -m mlx_lm.generate --help
+mlx_lm.generate --help
 ```
 
 To quantize a model from the command line run:
 
 ```
-python -m mlx_lm.convert --hf-path mistralai/Mistral-7B-Instruct-v0.1 -q 
+mlx_lm.convert --hf-path mistralai/Mistral-7B-Instruct-v0.3 -q 
 ```
 
 For more options run:
 
 ```
-python -m mlx_lm.convert --help
+mlx_lm.convert --help
 ```
 
 You can upload new models to Hugging Face by specifying `--upload-repo` to
@@ -54,8 +54,8 @@ You can upload new models to Hugging Face by specifying `--upload-repo` to
 [MLX Hugging Face community](https://huggingface.co/mlx-community) you can do:
 
 ```
-python -m mlx_lm.convert \
-    --hf-path mistralai/Mistral-7B-Instruct-v0.1 \
+mlx_lm.convert \
+    --hf-path mistralai/Mistral-7B-Instruct-v0.3 \
     -q \
     --upload-repo mlx-community/my-4bit-mistral
 ```