[Doc] Convert docs to use colon fences (#12471)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
@@ -4,7 +4,7 @@
|
||||
|
||||
This section provides more information on how to integrate a [PyTorch](https://pytorch.org/) model into vLLM.
|
||||
|
||||
```{toctree}
|
||||
:::{toctree}
|
||||
:caption: Contents
|
||||
:maxdepth: 1
|
||||
|
||||
@@ -12,16 +12,16 @@ basic
|
||||
registration
|
||||
tests
|
||||
multimodal
|
||||
```
|
||||
:::
|
||||
|
||||
```{note}
|
||||
:::{note}
|
||||
The complexity of adding a new model depends heavily on the model's architecture.
|
||||
The process is considerably straightforward if the model shares a similar architecture with an existing model in vLLM.
|
||||
However, for models that include new operators (e.g., a new attention mechanism), the process can be a bit more complex.
|
||||
```
|
||||
:::
|
||||
|
||||
```{tip}
|
||||
:::{tip}
|
||||
If you are encountering issues while integrating your model into vLLM, feel free to open a [GitHub issue](https://github.com/vllm-project/vllm/issues)
|
||||
or ask on our [developer slack](https://slack.vllm.ai).
|
||||
We will be happy to help you out!
|
||||
```
|
||||
:::
|
||||
|
||||
Reference in New Issue
Block a user