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Awesome-Model-Quantization

A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models

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Overview

A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models

Topics & capabilities

llmnlpbenchmarkeducationawesomemodel-quantizationawesome-listawesome-listsbinarizationbinary-neural-networksdata-free-quantizationdiffusion-models

Repository information

Repository
AI-Efficiency/Awesome-Model-Quantization ↗
Repository owner
AI-Efficiency
Primary language
Not recorded
Repository code license
Not recorded
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
2,455
Forks
241
Default branch
master
Last repository push
Oct 5, 2026

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/AI-Efficiency/Awesome-Model-Quantization ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

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