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[Lint]Style: reformat markdown files via markdownlint (#5884)

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### What this PR does / why we need it?
reformat markdown files via markdownlint

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
Signed-off-by: MrZ20 <2609716663@qq.com>
Co-authored-by: root <root@LAPTOP-VQKDDVMG.localdomain>
This commit is contained in:
SILONG ZENG
2026-01-15 09:06:01 +08:00
committed by GitHub
parent 96edd4673f
commit 4811ba62e0
75 changed files with 711 additions and 308 deletions
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24
docs/source/faqs.md
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@@ -19,6 +19,7 @@ Currently, **ONLY** Atlas A2 series(Ascend-cann-kernels-910b)，Atlas A3 series(
- [Experimental] Currently for 310I Duo the stable version is vllm-ascend v0.10.0rc1.
Below series are NOT supported yet:
- Atlas 200I A2 (Ascend-cann-kernels-310b) unplanned yet
- Ascend 910, Ascend 910 Pro B (Ascend-cann-kernels-910) unplanned yet
@@ -39,6 +40,7 @@ docker pull quay.nju.edu.cn/ascend/vllm-ascend:$TAG
```
#### Load Docker Images for offline environment
If you want to use container image for offline environments (no internet connection), you need to download container image in an environment with internet access:
**Exporting Docker images:**
@@ -85,13 +87,14 @@ Find more details [<u>here</u>](https://docs.vllm.ai/projects/ascend/en/latest/u
### 6. How to solve the problem of "Failed to infer device type" or "libatb.so: cannot open shared object file"?
Basically, the reason is that the NPU environment is not configured correctly. You can:
1. try `source /usr/local/Ascend/nnal/atb/set_env.sh` to enable NNAL package.
2. try `source /usr/local/Ascend/ascend-toolkit/set_env.sh` to enable CANN package.
3. try `npu-smi info` to check whether the NPU is working.
If all above steps are not working, you can try the following code with python to check whether there is any error:
```
```python
import torch
import torch_npu
import vllm
@@ -100,6 +103,7 @@ import vllm
If all above steps are not working, feel free to submit a GitHub issue.
### 7. How vllm-ascend work with vLLM?
vllm-ascend is a hardware plugin for vLLM. Basically, the version of vllm-ascend is the same as the version of vllm. For example, if you use vllm 0.9.1, you should use vllm-ascend 0.9.1 as well. For main branch, we will make sure `vllm-ascend` and `vllm` are compatible by each commit.
### 8. Does vllm-ascend support Prefill Disaggregation feature?
@@ -129,9 +133,11 @@ vllm-ascend is tested in three aspects, functions, performance, and accuracy.
Finnall, for each release, we'll publish the performance test and accuracy test report in the future.
### 12. How to fix the error "InvalidVersion" when using vllm-ascend?
The problem is usually caused by the installation of a dev or editable version of the vLLM package. In this case, we provide the environment variable `VLLM_VERSION` to let users specify the version of vLLM package to use. Please set the environment variable `VLLM_VERSION` to the version of the vLLM package you have installed. The format of `VLLM_VERSION` should be `X.Y.Z`.
### 13. How to handle the out-of-memory issue?
OOM errors typically occur when the model exceeds the memory capacity of a single NPU. For general guidance, you can refer to [vLLM OOM troubleshooting documentation](https://docs.vllm.ai/en/latest/getting_started/troubleshooting.html#out-of-memory).
In scenarios where NPUs have limited high bandwidth memory (HBM) capacity, dynamic memory allocation/deallocation during inference can exacerbate memory fragmentation, leading to OOM. To address this:
@@ -142,7 +148,8 @@ In scenarios where NPUs have limited high bandwidth memory (HBM) capacity, dynam
- **Configure `PYTORCH_NPU_ALLOC_CONF`**: Set this environment variable to optimize NPU memory management. For example, you can use `export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True` to enable virtual memory feature to mitigate memory fragmentation caused by frequent dynamic memory size adjustments during runtime. See details in: [PYTORCH_NPU_ALLOC_CONF](https://www.hiascend.com/document/detail/zh/Pytorch/700/comref/Envvariables/Envir_012.html).
### 14. Failed to enable NPU graph mode when running DeepSeek.
### 14. Failed to enable NPU graph mode when running DeepSeek
Enabling NPU graph mode for DeepSeek may trigger an error. This is because when both MLA and NPU graph mode are active, the number of queries per KV head must be 32, 64, or 128. However, DeepSeek-V2-Lite has only 16 attention heads, which results in 16 queries per KV—a value outside the supported range. Support for NPU graph mode on DeepSeek-V2-Lite will be added in a future update.
And if you're using DeepSeek-V3 or DeepSeek-R1, please make sure after the tensor parallel split, num_heads/num_kv_heads is {32, 64, 128}.
@@ -152,10 +159,12 @@ And if you're using DeepSeek-V3 or DeepSeek-R1, please make sure after the tenso
[rank0]: EZ9999: [PID: 62938] 2025-05-27-06:52:12.455.807 numHeads / numKvHeads = 8, MLA only support {32, 64, 128}.[FUNC:CheckMlaAttrs][FILE:incre_flash_attention_tiling_check.cc][LINE:1218]
```
### 15. Failed to reinstall vllm-ascend from source after uninstalling vllm-ascend.
### 15. Failed to reinstall vllm-ascend from source after uninstalling vllm-ascend
You may encounter the problem of C compilation failure when reinstalling vllm-ascend from source using pip. If the installation fails, use `python setup.py install` (recommended) to install, or use `python setup.py clean` to clear the cache.
### 16. How to generate deterministic results when using vllm-ascend?
There are several factors that affect output certainty:
1. Sampler method: using **Greedy sample** by setting `temperature=0` in `SamplingParams`, e.g.:
@@ -193,18 +202,20 @@ export ATB_LLM_LCOC_ENABLE=0
```
### 17. How to fix the error "ImportError: Please install vllm[audio] for audio support" for the Qwen2.5-Omni model？
The `Qwen2.5-Omni` model requires the `librosa` package to be installed, you need to install the `qwen-omni-utils` package to ensure all dependencies are met `pip install qwen-omni-utils`.
This package will install `librosa` and its related dependencies, resolving the `ImportError: No module named 'librosa'` issue and ensure that the audio processing functionality works correctly.
### 18. How to troubleshoot and resolve size capture failures resulting from stream resource exhaustion, and what are the underlying causes?
```
```shell
error example in detail:
ERROR 09-26 10:48:07 [model_runner_v1.py:3029] ACLgraph sizes capture fail: RuntimeError:
ERROR 09-26 10:48:07 [model_runner_v1.py:3029] ACLgraph has insufficient available streams to capture the configured number of sizes.Please verify both the availability of adequate streams and the appropriateness of the configured size count.
```
Recommended mitigation strategies:
1. Manually configure the compilation_config parameter with a reduced size set: '{"cudagraph_capture_sizes":[size1, size2, size3, ...]}'.
2. Employ ACLgraph's full graph mode as an alternative to the piece-wise approach.
@@ -212,6 +223,7 @@ Root cause analysis:
The current stream requirement calculation for size captures only accounts for measurable factors including: data parallel size, tensor parallel size, expert parallel configuration, piece graph count, multistream overlap shared expert settings, and HCCL communication mode (AIV/AICPU). However, numerous unquantifiable elements, such as operator characteristics and specific hardware features, consume additional streams outside of this calculation framework, resulting in stream resource exhaustion during size capture operations.
### 19. How to install custom version of torch_npu?
torch-npu will be overridden when installing vllm-ascend. If you need to install a specific version of torch-npu, you can manually install the specified version of torch-npu after vllm-ascend is installed.
### 20. On certain systems (e.g., Kylin OS), `docker pull` may fail with an `invalid tar header` error
@@ -241,10 +253,12 @@ This is often due to system compatibility issues. You can resolve this by using
Copy the `vllm_ascend_<tag>.tar` file (where `<tag>` is the image tag you used) to your target machine
### 21. Why am I getting an error when executing the script to start a Docker container? The error message is: "operation not permitted".
### 21. Why am I getting an error when executing the script to start a Docker container? The error message is: "operation not permitted"
When using `--shm-size`, you may need to add the `--privileged=true` flag to your `docker run` command to grant the container necessary permissions. Please be aware that using `--privileged=true` grants the container extensive privileges on the host system, which can be a security risk. Only use this option if you understand the implications and trust the container's source.
### 22. How to achieve low latency in a small batch scenario?
The performance of `torch_npu.npu_fused_infer_attention_score` in small batch scenario is not satisfactory, mainly due to the lack of flash decoding function. We offer an alternative operator in `tools/install_flash_infer_attention_score_ops_a2.sh` and `tools/install_flash_infer_attention_score_ops_a3.sh`, you can install it by the following instruction:
```bash