Had an AWESOME conversation with the @allthingsopen.bsky.social community about local LLMs on small hardware: model compression can quantize a model from 220 GB ā 55 GB with <1% accuracy loss, and inference engines like vLLM help run them fast and efficiently.
š„ www.youtube.com/watch?v=xGqV...
