Fix ValueError

✅ Solution

ValueError in vllm often arises from unexpected data types or missing keys/attributes during model loading or inference, particularly related to model configuration, weights, or data processing. Inspect the traceback to identify the specific problematic variable or key, and ensure its type and value align with what the vllm/model expects, potentially by correcting the config file or data preprocessing steps. If loading weights, verify the existence and correctness of required weight files.