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Model Quantization: GPTQ, AWQ & GGUF

Understand post-training quantization methods GPTQ, AWQ, and GGUF. Learn how to deploy 72B models on consumer GPUs with minimal quality loss.

What you'll master

Post-training quantization (PTQ) basics

Symmetric vs Asymmetric quantization

GPTQ calibration-based approach

AWQ activation-aware weight quantization

GGUF format for CPU inference

Quality vs compression tradeoff curves

Per-channel vs Per-tensor quantization

Zero-point and Scale factors

Weight-only vs Activation quantization

Hard50 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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Code examplesArchitecture diagramsModel answersScoring rubricCommon pitfallsFollow-up Q&A

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