[Doc][Misc] Comprehensive documentation cleanup and grammatical fixes (#8073)

What this PR does / why we need it?
This pull request performs a comprehensive cleanup of the vLLM Ascend
documentation. It fixes numerous typos, grammatical errors, and phrasing
issues across community guidelines, developer documents, hardware
tutorials, and feature guides. Key improvements include correcting
hardware names (e.g., Atlas 300I), fixing broken links, cleaning up code
examples (removing duplicate flags and trailing commas), and improving
the clarity of technical explanations. These changes are necessary to
ensure the documentation is professional, accurate, and easy for users
to follow.

Does this PR introduce any user-facing change?
No, this PR contains documentation-only updates.

How was this patch tested?
The changes were manually reviewed for accuracy and grammatical
correctness. No functional code changes were introduced.

---------

Signed-off-by: herizhen <1270637059@qq.com>
Signed-off-by: herizhen <59841270+herizhen@users.noreply.github.com>

docs/source/tutorials/models/Qwen3-VL-235B-A22B-Instruct.md

@@ -18,7 +18,7 @@ Refer to [feature guide](../../user_guide/feature_guide/index.md) to get the fea
 
 ### Model Weight
 
-- `Qwen3-VL-235B-A22B-Instruct`(BF16 version): require 1 Atlas 800 A3 (64G × 16) node，2 Atlas 800 A2（64G * 8）nodes. [Download model weight](https://modelscope.cn/models/Qwen/Qwen3-VL-235B-A22B-Instruct/)
+- `Qwen3-VL-235B-A22B-Instruct`(BF16 version): require 1 Atlas 800 A3 (64G × 16) node，2 Atlas 800 A2（64G × 8）nodes. [Download model weight](https://modelscope.cn/models/Qwen/Qwen3-VL-235B-A22B-Instruct/)
 
 It is recommended to download the model weight to the shared directory of multiple nodes, such as `/root/.cache/`
 
@@ -140,7 +140,7 @@ Node1
 export VLLM_USE_MODELSCOPE=true
 # To reduce memory fragmentation and avoid out of memory
 export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
-# this obtained through ifconfig
+# this is obtained through ifconfig
 # nic_name is the network interface name corresponding to local_ip of the current node
 nic_name="xxxx"
 local_ip="xxxx"
@@ -258,7 +258,7 @@ Refer to [Using AISBench for performance evaluation](../../developer_guide/evalu
 
 Run performance evaluation of `Qwen3-VL-235B-A22B-Instruct` as an example.
 
-Refer to [vllm benchmark](https://docs.vllm.ai/en/latest/contributing/benchmarks.html) for more details.
+Refer to [vllm benchmark](https://docs.vllm.ai/en/latest/benchmarking/) for more details.
 
 There are three `vllm bench` subcommands: