AI-Efficiency/Awesome-Model-Quantization resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2431 stars · 242 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list collecting papers, benchmarks, books, and code repositories about neural network and LLM model quantization. It serves as a research reference hub, continuously updated via community pull requests.

Use cases

• find papers on model quantization
• learn about LLM quantization techniques
• research neural network binarization
• find quantization benchmarks and code
• survey model compression literature
• keep up with efficient deep learning research

When to choose

• you need a curated starting point for quantization research
• you want links to papers, benchmarks, and implementations in one place
• you are surveying model compression or efficient inference literature

When to avoid

• you need a runnable quantization tool or library rather than a reading list
• you need production-ready quantization pipelines
• you expect a maintained software package with a license

Facets

learning-resource · maturity active

machine-learning deep-learning llm-inference documentation deep-learning large-language-models machine-learning awesome-lists tutorials cross-platform awesome-list model-quantization model-compression papers binarized-neural-networks efficient-inference

Member repositories

For agents

markdown · JSON · MCP: product_card(name="AI-Efficiency/Awesome-Model-Quantization")