EngineX/xc-llm-ascend
3
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

[Bugfix] add compilation/__init__.py to fix import error (#1152)

Browse Source 
1. Add `__init__.py` for vllm_ascend/compilation to make sure it's a
python module
2. Fix model runner bug to keep the same with vllm
3. Add release note for 0.9.0rc2

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-06-10 17:14:25 +08:00
committed by GitHub
parent e68e81f2ce
commit b75cb788dd
7 changed files with 23 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
docs/source/faqs.md
View File

@@ -3,7 +3,7 @@
## Version Specific FAQs
- [[v0.7.3.post1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/1007)
- [[v0.9.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/1115)
- [[v0.9.0rc2] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/1115)
## General FAQs
@@ -69,14 +69,14 @@ If all above steps are not working, feel free to submit a GitHub issue.
### 7. How does vllm-ascend perform?
Currently, only some models are improved. Such as `Qwen2 VL`, `Deepseek V3`. Others are not good enough. In the future, we will support graph mode and custom ops to improve the performance of vllm-ascend. And when the official release of vllm-ascend is released, you can install `mindie-turbo` with `vllm-ascend` to speed up the inference as well.
Currently, only some models are improved. Such as `Qwen2 VL`, `Deepseek V3`. Others are not good enough. From 0.9.0rc2, Qwen and Deepseek works with graph mode to play a good performance. What's more, you can install `mindie-turbo` with `vllm-ascend v0.7.3` to speed up the inference as well.
### 8. How vllm-ascend work with vllm?
vllm-ascend is a plugin for vllm. Basically, the version of vllm-ascend is the same as the version of vllm. For example, if you use vllm 0.7.3, you should use vllm-ascend 0.7.3 as well. For main branch, we will make sure `vllm-ascend` and `vllm` are compatible by each commit.
### 9. Does vllm-ascend support Prefill Disaggregation feature?
Currently, only 1P1D is supported by vllm. For vllm-ascend, it'll be done by [this PR](https://github.com/vllm-project/vllm-ascend/pull/432). For NPND, vllm is not stable and fully supported yet. We will make it stable and supported by vllm-ascend in the future.
Currently, only 1P1D is supported on V0 Engine. For V1 Engine or NPND support, We will make it stable and supported by vllm-ascend in the future.
### 10. Does vllm-ascend support quantization method?
@@ -84,9 +84,7 @@ Currently, w8a8 quantization is already supported by vllm-ascend originally on v
### 11. How to run w8a8 DeepSeek model?
Currently, w8a8 DeepSeek is working in process: [support AscendW8A8 quantization](https://github.com/vllm-project/vllm-ascend/pull/511)
Please run DeepSeek with BF16 now, following the [Multi-Node DeepSeek inferencing tutorail](https://vllm-ascend.readthedocs.io/en/main/tutorials/multi_node.html)
Please following the [quantization inferencing tutorail](https://vllm-ascend.readthedocs.io/en/main/tutorials/multi_npu_quantization.html) and replace model to DeepSeek.
### 12. There is not output in log when loading models using vllm-ascend, How to solve it?