vLLM Quantized Inference: Loading AWQ/GPTQ Models and Optimizing GPU Memory
This article provides a step‑by‑step guide on using vLLM to load AWQ and GPTQ quantized large language models, covering environment setup, calibration data preparation, model quantization, deployment scripts, performance benchmarking, accuracy checks, best‑practice recommendations, and troubleshooting tips for GPU memory optimization.
