Accelerate LLM inference with post-training weight and activation using AWQ and GPTQ

Adapt the following but for vllm on EKS: [Accelerating LLM inference with post-training weight and activation using AWQ and GPTQ on Amazon SageMaker AI](https://aws.amazon.com/blogs/machine-learning/accelerating-llm-inference-with-post-training-weight-and-activation-using-awq-and-gptq-on-amazon-sagemaker-ai/).

Start by reading the linked Amazon SageMaker AI article and comparing its AWQ/GPTQ approach with vLLM on Amazon EKS. Determine which existing vLLM and EKS entry points in this repository should be adapted, and define completion as a documented, working equivalent for that environment.

Written by the indexing model from the issue text.