vllm - 💡(How to fix) Fix [Bug]: DeepSeek V4 pro can not run with TP16 [1 comments, 2 participants]

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vllm-project/vllm#40955Fetched 2026-04-28 06:26:12
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Error Message

can not run with this error:

RAW_BUFFERClick to expand / collapse

Your current environment

use this recipes:

<img width="1169" height="742" alt="Image" src="https://github.com/user-attachments/assets/07693391-bb80-4c9c-be6c-276d3099eb17" /> can not run with this error: <img width="1482" height="162" alt="Image" src="https://github.com/user-attachments/assets/63af6b20-9469-4ab7-bd60-67be4fa1fb81" />

V4 shape: 3072/16=192, fp8 quantization need size is 128*x

🐛 Describe the bug

https://recipes.vllm.ai/deepseek-ai/DeepSeek-V4-Pro?features=tool_calling%2Creasoning%2Cspec_decoding&strategy=multi_node_tep

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extent analysis

TL;DR

The error may be related to a mismatch between the expected and actual size of the fp8 quantization, which could be resolved by adjusting the quantization size to match the V4 shape requirements.

Guidance

  • Verify the V4 shape calculation to ensure it matches the expected output of 192, and check if the fp8 quantization size is correctly set to 128*x.
  • Review the documentation and recipes provided to ensure that the correct parameters are being used for the DeepSeek-V4-Pro model.
  • Check the image attachments for any additional error messages or clues that may indicate the root cause of the issue.
  • Consider reaching out to the chatbot on the documentation page for further assistance with troubleshooting.

Notes

The provided information lacks specific technical details, making it challenging to provide a precise solution. Further investigation and verification of the model parameters and quantization settings are necessary to resolve the issue.

Recommendation

Apply workaround: Adjust the quantization size to match the V4 shape requirements, as this may resolve the error and allow the model to run correctly.

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