[Docs] Switch to better markdown linting pre-commit hook (#21851)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

docs/models/supported_models.md

@@ -45,10 +45,10 @@ If a model is neither supported natively by vLLM or Transformers, it can still b
 For a model to be compatible with the Transformers backend for vLLM it must:
 
 - be a Transformers compatible custom model (see [Transformers - Customizing models](https://huggingface.co/docs/transformers/en/custom_models)):
-    * The model directory must have the correct structure (e.g. `config.json` is present).
-    * `config.json` must contain `auto_map.AutoModel`.
+    - The model directory must have the correct structure (e.g. `config.json` is present).
+    - `config.json` must contain `auto_map.AutoModel`.
 - be a Transformers backend for vLLM compatible model (see [writing-custom-models][writing-custom-models]):
-    * Customisation should be done in the base model (e.g. in `MyModel`, not `MyModelForCausalLM`).
+    - Customisation should be done in the base model (e.g. in `MyModel`, not `MyModelForCausalLM`).
 
 If the compatible model is:
 
@@ -134,10 +134,10 @@ class MyConfig(PretrainedConfig):
 
 - `base_model_tp_plan` is a `dict` that maps fully qualified layer name patterns to tensor parallel styles (currently only `"colwise"` and `"rowwise"` are supported).
 - `base_model_pp_plan` is a `dict` that maps direct child layer names to `tuple`s of `list`s of `str`s:
-    * You only need to do this for layers which are not present on all pipeline stages
-    * vLLM assumes that there will be only one `nn.ModuleList`, which is distributed across the pipeline stages
-    * The `list` in the first element of the `tuple` contains the names of the input arguments
-    * The `list` in the last element of the `tuple` contains the names of the variables the layer outputs to in your modeling code
+    - You only need to do this for layers which are not present on all pipeline stages
+    - vLLM assumes that there will be only one `nn.ModuleList`, which is distributed across the pipeline stages
+    - The `list` in the first element of the `tuple` contains the names of the input arguments
+    - The `list` in the last element of the `tuple` contains the names of the variables the layer outputs to in your modeling code
 
 ## Loading a Model