Module 03 of 8~18 minPro
Choosing and Quantizing Models
The open-weight model landscape, GGUF quantization explained (why Q4_K_M is the sweet spot), the memory budget worksheet, dense vs MoE, and where to download trustworthy quants.
§ You will learn
- Navigate the 2026 open-weight model landscape and pick families that fit your needs
- Understand quantization and why Q4_K_M is the usual sweet spot
- Use a memory budget worksheet to confirm a model fits before downloading it
- Tell dense from mixture-of-experts models and know why MoE runs fast for its size
- Download quantized models from trustworthy sources
§ Sealed entry
This module is part of the Pro record.
5 sections · ~18 min · objectives above are the preview