vllm - 💡(How to fix) Fix [Usage]: I encountered an error while deploying deepseek-ai/DeepSeek-OCR-2using vLLM. The logs show: [2 comments, 2 participants]

warnings.warn('resource_tracker: There appear to be %d '

TL;DR

The most likely fix involves addressing the engine core initialization failure by investigating the root cause indicated in the error message and ensuring proper integration of the specific model with vllm.

Guidance

• Investigate the error message "Engine core initialization failed" and examine the lines above it for the root cause, as the error message suggests looking above for more information.
• Verify that the specific model intended for inference is correctly integrated with vllm, potentially by consulting the vllm documentation or seeking guidance on model integration.
• Check for any resource leaks, such as the mentioned semaphore objects, which could be contributing to the initialization failure.
• Review the documentation page and chatbot resources for any FAQs related to model integration and engine startup issues.

Example

No specific code example can be provided without more details on the model integration or the exact nature of the engine core initialization failure.

Notes

The solution may depend on the specifics of the model and how it is being integrated with vllm, which are not fully detailed in the issue. Additionally, the presence of leaked semaphore objects suggests a potential issue with resource management that should be addressed.

Recommendation

Apply workaround: Given the information, it seems more practical to first attempt to workaround the issue by addressing the potential causes (e.g., model integration, resource leaks) rather than immediately seeking an upgrade, as the need for an upgrade is not clearly implied.