fix docs

Signed-off-by: youkaichao <[email protected]>

docs/source/serving/deploying_with_docker.rst

@@ -47,7 +47,7 @@ Building for Arm64/aarch64
 --------------------------
 
 A docker container can be built for aarch64 systems such as the Nvidia Grace-Hopper. At time of this writing, this requires the use
-of PyTorch Nightly and should be considered **experimental**. Using the flag `--platform "linux/arm64"` will attempt to build for arm64.
+of PyTorch Nightly and should be considered **experimental**. Using the flag ``--platform "linux/arm64"`` will attempt to build for arm64.
 
 .. note::
 
@@ -85,4 +85,4 @@ The argument ``vllm/vllm-openai`` specifies the image to run, and should be repl
 
 .. note::
 
-        **For ``v0.4.1``` and ``v0.4.2``` only** - the vLLM docker images under these versions are supposed to be run under the root user since a library under the root user's home directory, i.e. ``/root/.config/vllm/nccl/cu12/libnccl.so.2.18.1`` is required to be loaded during runtime. If you are running the container under a different user, you may need to first change the permissions of the library (and all the parent directories) to allow the user to access it, then run vLLM with environment variable ``VLLM_NCCL_SO_PATH=/root/.config/vllm/nccl/cu12/libnccl.so.2.18.1`` .
+        **For version 0.4.1 and 0.4.2 only** - the vLLM docker images under these versions are supposed to be run under the root user since a library under the root user's home directory, i.e. ``/root/.config/vllm/nccl/cu12/libnccl.so.2.18.1`` is required to be loaded during runtime. If you are running the container under a different user, you may need to first change the permissions of the library (and all the parent directories) to allow the user to access it, then run vLLM with environment variable ``VLLM_NCCL_SO_PATH=/root/.config/vllm/nccl/cu12/libnccl.so.2.18.1`` .