Mastering the Math: Predicting VRAM Needs for Local LLM Deployment

Understanding the precise relationship between model parameters and GPU memory is crucial for avoiding costly OOM errors in local AI environments. Beyond simple weight loading, accounting for quantization and the context-dependent KV Cache ensures stable and efficient inference on consumer hardware.