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Models· 2 min

What is quantization?

Quantization shrinks model weights from 16-bit to 8-, 4- or even 2-bit numbers to run faster on smaller hardware.

Key idea

Lower precision = less memory and compute per weight, with small quality loss when done carefully (GPTQ, AWQ, GGUF).

Example

A 70B Llama model in fp16 needs ~140GB VRAM; the same model in 4-bit fits on a single 48GB GPU.

What to remember

  • Enables local / on-device LLMs (Ollama, LM Studio)
  • GGUF is the go-to format for llama.cpp-style inference
  • Combine with LoRA for cheap fine-tuning (QLoRA)