Fix InternalServerError

✅ Solution

InternalServerError in vllm often arises from unexpected exceptions during tensor operations, model loading, or inference requests, especially related to resource limitations or compatibility issues. To fix it, carefully examine the vllm logs for specific error messages and stack traces, and address the underlying cause; this may involve increasing available resources (CPU/GPU memory), updating vllm or its dependencies to compatible versions, or adjusting model configurations to reduce resource demands. Ensure model weights are correctly loaded and valid, along with proper image format handling for multimodal models.