A curated 9-paper reading path into LLM quantization for beginners
East-Muffin-6472 · reddit · 2026-11-13
A Reddit user curated a beginner-friendly reading list of 9 LLM quantization papers at papercase.dev, ordered by community reading order and starting with the Coursera "Quantization in Depth" course:
- Post-training quantization: LLM.int8(), SmoothQuant, ZeroQuant, AWQ
- Quantization-aware training: LLM-QAT (data-free), EfficientQAT
- Low-bit & finetuning: BitNet (1-bit), The Era of 1-bit LLMs (1.58-bit), QLoRA
The shelf explicitly targets engineers who know transformers and want a credible starting set on weight/activation quantization; it leaves out GPTQ and newer formats like NVFP4/MXFP4.
Related event: Reddit Curates 9 Must-Read Papers for LLM Quantization Beginners(2 posts)→
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