vllm - 💡(How to fix) Fix [Bug]: Deepseek-V4-Flash failed to load on 8*L20 [4 comments, 5 participants]

TL;DR

The issue may be related to the CUDA version or Docker configuration, and checking the log file for specific error messages could provide more insight.

Guidance

• Review the log file (log.txt) for error messages related to CUDA, GPU memory, or tensor parallelism to identify potential causes.
• Verify that the --gpu-memory-utilization flag is set appropriately for the available GPU resources, as setting it too high may cause issues.
• Check the Docker container's resource allocation and ensure it is sufficient for the model's requirements.
• Consider reducing the --tensor-parallel-size or --max-model-len to reduce the computational load and see if it resolves the issue.

Notes

The provided information is limited, and without access to the log file or more details about the environment, it's challenging to provide a more specific solution.

Recommendation

Apply workaround: Reduce the --tensor-parallel-size or --max-model-len to reduce the computational load and see if it resolves the issue, as this is a relatively safe and easy change to test.