New Open Source Technique Shrinks Llms to Let Them Run on Less Powerful Hardware

A new open-source technique allows for shrinking large language models (LLMs) to run on less powerful hardware, potentially increasing accessibility. The story garnered little discussion, but the technique's implications for AI deployment are noteworthy.

Snapshot generated from the HN discussion