Fix DistBackendError

✅ Solution

DistBackendError in vLLM often arises from memory access issues, particularly with custom or quantized models, potentially due to misconfiguration with CUDA or incorrect tensor sizes. Resolve this by ensuring your model configuration aligns with your hardware, specifically checking the `max_num_batched_tokens` and CUDA versions, or adjusting tensor shapes to be compatible with the available memory and compute capabilities of your GPUs. If using custom models, verify that any quantization or custom kernels are correctly implemented and memory accesses are valid.