[main][Docs] Fix typos across documentation (#6728)

## Summary

Fix typos and improve grammar consistency across 50 documentation files.
 
### Changes include:
- Spelling corrections (e.g., "Facotory" → "Factory", "certainty" →
"determinism")
- Grammar improvements (e.g., "multi-thread" → "multi-threaded",
"re-routed" → "re-run")
- Punctuation fixes (semicolon consistency in filter parameters)
- Code style fixes (correct flag name `--num-prompts` instead of
`--num-prompt`)
- Capitalization consistency (e.g., "python" → "Python", "ascend" →
"Ascend")
- vLLM version: v0.15.0
- vLLM main:
9562912cea

---------

Signed-off-by: SlightwindSec <slightwindsec@gmail.com>

docs/source/user_guide/release_notes.md

@@ -108,7 +108,7 @@ Many custom ops and triton kernels were added in this release to speed up model
 
 ### Known Issue
 
-- Due the upgrade of `transformers` package, some models quantization weight, such as `qwen2.5vl`, `gemma3`, `minimax`, may not work. We'll fix it in the next post release. [#6302](https://github.com/vllm-project/vllm-ascend/pull/6302)
+- Due to the upgrade of `transformers` package, some models quantization weight, such as `qwen2.5vl`, `gemma3`, `minimax`, may not work. We'll fix it in the next post release. [#6302](https://github.com/vllm-project/vllm-ascend/pull/6302)
 - The performance of `Qwen3-32B` will not be good with 128K input case, it's suggested to enable pcp&dcp feature for this case. This will be improved in the next CANN release.
 - The performance of `Qwen3-235B`, `Qwen3-480B` under prefill-decode scenario and EP=32 scenario is not good as expect. We'll improve it in the next post release.
 - When deploy deepseek3.1 under prefill-decode scenario, please make sure the tp size for decode node is great than 1. `TP=1` doesn't work. This will be fixed in the next CANN release.
@@ -144,7 +144,7 @@ This is the first release candidate of v0.14.0 for vLLM Ascend. Please follow th
 
 - model runner v2 support triton of penalty. [#5854](https://github.com/vllm-project/vllm-ascend/pull/5854)
 - model runner v2 support eagle spec decoding. [#5840](https://github.com/vllm-project/vllm-ascend/pull/5840)
-- Fix multi-modal inference OOM issues by setting `expandable_segments:True` by default. [#5855](https://github.com/vllm-project/vllm-ascend/pull/5855)
+- 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)
@@ -670,7 +670,7 @@ This is the 1st release candidate of v0.10.0 for vLLM Ascend. Please follow the
 ### Others
 
 - Bug fixes:
-    - Fix functional problem of multi-modality models like Qwen2-audio with Aclgraph. [#1803](https://github.com/vllm-project/vllm-ascend/pull/1803)
+    - Fix functional problem of multimodality models like Qwen2-audio with Aclgraph. [#1803](https://github.com/vllm-project/vllm-ascend/pull/1803)
     - Fix the process group creating error with external launch scenario. [#1681](https://github.com/vllm-project/vllm-ascend/pull/1681)
     - Fix the functional problem with guided decoding. [#2022](https://github.com/vllm-project/vllm-ascend/pull/2022)
     - Fix the accuracy issue with common MoE models in DP scenario. [#1856](https://github.com/vllm-project/vllm-ascend/pull/1856)
@@ -953,7 +953,7 @@ This is the 1st release candidate of v0.9.0 for vllm-ascend. Please follow the [
 ### Models
 
 - Qwen2.5 VL works with V1 Engine now. [#736](https://github.com/vllm-project/vllm-ascend/pull/736)
-- LLama4 works now. [#740](https://github.com/vllm-project/vllm-ascend/pull/740)
+- Llama4 works now. [#740](https://github.com/vllm-project/vllm-ascend/pull/740)
 - A new kind of DeepSeek model called dual-batch overlap(DBO) is added. Please set `VLLM_ASCEND_ENABLE_DBO=1` to use it. [#941](https://github.com/vllm-project/vllm-ascend/pull/941)
 
 ### Others
@@ -1090,7 +1090,7 @@ This is the first release candidate of v0.8.4 for vllm-ascend. Please follow the
 
 - A new communicator `pyhccl` is added. It's used for call CANN HCCL library directly instead of using `torch.distribute`. More usage of it will be added in the next release [#503](https://github.com/vllm-project/vllm-ascend/pull/503)
 - The custom ops build is enabled by default. You should install the packages like `gcc`, `cmake` first to build `vllm-ascend` from source. Set `COMPILE_CUSTOM_KERNELS=0` environment to disable the compilation if you don't need it. [#466](https://github.com/vllm-project/vllm-ascend/pull/466)
-- The custom op `rotay embedding` is enabled by default now to improve the performance. [#555](https://github.com/vllm-project/vllm-ascend/pull/555)
+- The custom op `rotary embedding` is enabled by default now to improve the performance. [#555](https://github.com/vllm-project/vllm-ascend/pull/555)
 
 ## v0.7.3rc2 - 2025.03.29