Quantization, distillation, pruning: making models fit
Three ways to shrink an LLM. Quantization (Q2-Q8 with K-quants in GGUF), distillation (teacher to student), pruning. Why Q4_K_M is the community default and what each lever costs.
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#quantization
Posts on AI engineering, LLM systems, and software development.
What it takes to run a model on your machine
Why VRAM is the hard ceiling on local LLMs, what quantization actually does to a model file, and the practical hardware ladder from 8GB laptops to 192GB workstations.