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

[Info][main] Corrected the errors in the information (#4055)

Browse Source 
### What this PR does / why we need it?
Corrected the errors in the information

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ut

- vLLM version: v0.11.0
- vLLM main:
83f478bb19

Signed-off-by: lilinsiman <lilinsiman@gmail.com>
This commit is contained in:
lilinsiman
2025-11-08 18:48:59 +08:00
committed by GitHub
parent 1d7cb5880a
commit a3ff765c65
20 changed files with 35 additions and 35 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/source/user_guide/feature_guide/quantization.md
View File

@@ -28,7 +28,7 @@ See https://www.modelscope.cn/models/vllm-ascend/Kimi-K2-Instruct-W8A8.
This conversion process requires a larger CPU memory, ensure that the RAM size is greater than 2 TB.
:::
### Adapt to changes
### Adapts and changes
1. Ascend does not support the `flash_attn` library. To run the model, you need to follow the [guide](https://gitee.com/ascend/msit/blob/master/msmodelslim/example/DeepSeek/README.md#deepseek-v3r1) and comment out certain parts of the code in `modeling_deepseek.py` located in the weights folder.
2. The current version of transformers does not support loading weights in FP8 quantization format. you need to follow the [guide](https://gitee.com/ascend/msit/blob/master/msmodelslim/example/DeepSeek/README.md#deepseek-v3r1) and delete the quantization related fields from `config.json` in the weights folder.