Quantization Fundamentals - How LLMs are Served Efficiently with Low Memory - Inference Engineering
Arpit Bhayani · 19:17
Quantization maps trained model weights from high-precision floats into compact integers so a model can sit in far less GPU memory and run inference with cheaper integer math; a 1B-parameter FP32 checkpoint already ne...