Optimizing Small Language Models: Quantization, Hardware Acceleration, and Efficient Local Edge Inference
A step‑by‑step guide for engineers who want to run LLMs locally on constrained hardware, covering quantization methods, hardware accelerators, and proven deployment patterns.