 | submitted by /u/cmpatino_ [link] [comments] |
How to Distill from 100B+ to <4B Models
Reddit r/LocalLLaMA / 4/14/2026
💬 OpinionTools & Practical UsageModels & Research
Key Points
- The article focuses on practical guidance for compressing very large language models (100B+ parameters) down to smaller (<4B) models via knowledge distillation.
- It emphasizes the need for an effective distillation setup that preserves quality while significantly reducing model size.
- The content is presented as a how-to resource aimed at developers working on local or smaller-footprint LLM deployments.
- It targets the workflow and experimentation required to make large-to-small model training feasible under tighter compute and deployment constraints.
