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[Doc][Misc] Improve documentation quality by revising specific content. (#8603)

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### What this PR does / why we need it?

To improve the quality of certain docs by revising specific content.

### Does this PR introduce _any_ user-facing change?

None

### How was this patch tested?

- vLLM version: v0.19.0
- vLLM main:
6f786f2c50

---------

Signed-off-by: Lucky1 <144669645+verylucky01@users.noreply.github.com>
This commit is contained in:
Lucky1
2026-04-24 15:40:41 +08:00
committed by GitHub
parent 97dbcaf919
commit bd3774d601
5 changed files with 8 additions and 8 deletions
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6
docs/source/user_guide/feature_guide/dynamic_batch.md
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@@ -24,9 +24,9 @@ We are working on further improvements and this feature will support more XPUs i
`--SLO_limits_for_dynamic_batch` is the tuning parameter (integer type) for the dynamic batch feature, larger values relax latency limitation, leading to higher effective throughput. The parameter can be selected according to the specific models or service requirements.
```python
--SLO_limits_for_dynamic_batch =-1 # default value, dynamic batch disabled.
--SLO_limits_for_dynamic_batch = 0 # baseline value for dynamic batch, dynamic batch disabled, FCFS and decode-first chunked prefilling strategy is used.
--SLO_limits_for_dynamic_batch > 0 # user-defined value for dynamic batch, dynamic batch enabled with FCFS and decode-first chunked prefilling strategy.
--SLO_limits_for_dynamic_batch = -1 # Default value; dynamic batching is disabled.
--SLO_limits_for_dynamic_batch = 0 # Baseline value for dynamic batching; dynamic batching is disabled. FCFS and decode-first chunked prefilling strategy is used.
--SLO_limits_for_dynamic_batch > 0 # User-defined positive value; dynamic batching is enabled. FCFS and decode-first chunked prefilling strategy is used.
```
### Supported Models

2
docs/source/user_guide/support_matrix/supported_features.md
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@@ -36,7 +36,7 @@ You can check the [support status of vLLM V1 Engine][v1_user_guide]. Below is th
- 🟡 Planned: Scheduled for future implementation (some may have open PRs/RFCs).
- 🔴 NO plan/Deprecated: No plan or deprecated by vLLM.
[v1_user_guide]: https://docs.vllm.ai/en/latest/getting_started/v1_user_guide.html
[v1_user_guide]: https://docs.vllm.ai/en/latest/usage/v1_guide/
[multimodal]: https://docs.vllm.ai/projects/ascend/en/latest/tutorials/models/Qwen-VL-Dense.html
[guided_decoding]: https://github.com/vllm-project/vllm-ascend/issues/177
[LoRA]: https://docs.vllm.ai/projects/ascend/en/latest/user_guide/feature_guide/lora.html