[Doc][v0.18.0] Fix documentation formatting and improve code examples (#8701)

### What this PR does / why we need it?
This PR fixes various documentation issues and improves code examples
throughout the project.

Signed-off-by: MrZ20 <2609716663@qq.com>

docs/source/user_guide/feature_guide/dynamic_batch.md

@@ -38,9 +38,9 @@ So far, dynamic batch performs better on several dense models including Qwen and
 Dynamic batch is used in the online inference. A fully executable example is as follows:
 
 ```shell
-SLO_LITMIT=50
+SLO_LIMIT=50
 vllm serve Qwen/Qwen2.5-14B-Instruct\
-    --additional_config '{"SLO_limits_for_dynamic_batch":'${SLO_LITMIT}'}' \
+    --additional_config '{"SLO_limits_for_dynamic_batch":'${SLO_LIMIT}'}' \
     --max-num-seqs 256 \
     --block-size 128 \
     --tensor_parallel_size 8 \

docs/source/user_guide/feature_guide/netloader.md

@@ -54,25 +54,25 @@ To enable Netloader, pass `--load-format=netloader` and provide configuration vi
 ### Server
 
 ```shell
-VLLM_SLEEP_WHEN_IDLE=1 vllm serve `<model_file>` \
+VLLM_SLEEP_WHEN_IDLE=1 vllm serve <model_file> \
   --tensor-parallel-size 1 \
-  --served-model-name `<model_name>` \
+  --served-model-name <model_name> \
   --enforce-eager \
-  --port `<port>` \
+  --port <port> \
   --load-format netloader
 ```
 
 ### Client
 
 ```shell
-export NETLOADER_CONFIG='{"SOURCE":[{"device_id":0, "sources": ["`<server_IP>`:`<server_Port>`"]}]}'
+export NETLOADER_CONFIG='{"SOURCE":[{"device_id":0, "sources": ["<server_IP>:<server_Port>"]}]}'
 
-VLLM_SLEEP_WHEN_IDLE=1 ASCEND_RT_VISIBLE_DEVICES=`<device_id_diff_from_server>` \
-  vllm serve `<model_file>` \
+VLLM_SLEEP_WHEN_IDLE=1 ASCEND_RT_VISIBLE_DEVICES=<device_id_diff_from_server> \
+  vllm serve <model_file> \
   --tensor-parallel-size 1 \
-  --served-model-name `<model_name>` \
+  --served-model-name <model_name> \
   --enforce-eager \
-  --port `<client_port>` \
+  --port <client_port> \
   --load-format netloader \
   --model-loader-extra-config="${NETLOADER_CONFIG}"
 ```

docs/source/user_guide/feature_guide/rfork.md

@@ -80,7 +80,7 @@ A simple planner implementation is provided at [`rfork_planner.py`](../../../../
 ```shell
 python rfork_planner.py \
   --host 0.0.0.0 \
-  --port `<planner_port>`
+  --port <planner_port>
 ```
 
 ### 3. Start vLLM Instances
@@ -93,15 +93,15 @@ For later instances, if the planner can allocate a compatible seed, RFork will t
 
 ```shell
 export RFORK_CONFIG='{
-  "model_url": "`<model_url>`",
-  "model_deploy_strategy_name": "`<deploy_strategy>`",
-  "rfork_scheduler_url": "http://`<planner_ip>`:`<planner_port>`"
+  "model_url": "<model_url>",
+  "model_deploy_strategy_name": "<deploy_strategy>",
+  "rfork_scheduler_url": "http://<planner_ip>:<planner_port>"
 }'
 
-vllm serve `<model_path>` \
+vllm serve <model_path> \
   --tensor-parallel-size 1 \
-  --served-model-name `<served_model_name>` \
-  --port `<port>` \
+  --served-model-name <served_model_name> \
+  --port <port> \
   --load-format rfork \
   --model-loader-extra-config "${RFORK_CONFIG}"
 ```

docs/source/user_guide/release_notes.md

@@ -381,7 +381,7 @@ This is the first release candidate of v0.14.0 for vLLM Ascend. Please follow th
 - Fix multimodal inference OOM issues by setting `expandable_segments:True` by default. [#5855](https://github.com/vllm-project/vllm-ascend/pull/5855)
 - `VLLM_ASCEND_ENABLE_MLAPO` is set to `True` by default. It's enabled automatically on decode node in PD deployment case. Please note that this feature will cost more memory. If you are memory sensitive, please set it to False. [#5952](https://github.com/vllm-project/vllm-ascend/pull/5952)
 - SSL config can be set to kv_extra_config for PD deployment with mooncake layerwise connector. [#5875](https://github.com/vllm-project/vllm-ascend/pull/5875)
-- support `--max_model_len=auto`. [#6193](https://github.com/vllm-project/vllm-ascend/pull/6193)
+- support `--max-model-len=auto`. [#6193](https://github.com/vllm-project/vllm-ascend/pull/6193)
 
 ### Dependencies