# AI-Efficiency/Awesome-Model-Quantization

<https://repo.masters-masters.com/en/repos/AI-Efficiency/Awesome-Model-Quantization>

[Home](https://repo.masters-masters.com/en) › [AI-Efficiency](https://repo.masters-masters.com/en/owners/AI-Efficiency) › [Awesome-Model-Quantization](https://repo.masters-masters.com/en/repos/AI-Efficiency/Awesome-Model-Quantization)

AI-Efficiency/Awesome-Model-Quantization has 2,462 stars on GitHub. Its RepoMasters card: RC tier. A curated collection of papers, benchmarks, surveys, and…

| Field | Value |
| --- | --- |
| Owner | [AI-Efficiency](https://repo.masters-masters.com/en/owners/AI-Efficiency) |
| Stars | 2,462 |
| Forks | 245 |
| Language | No language |
| License | None |
| Created | 2018 |
| Topics | awesome, model-quantization, awesome-list, awesome-lists, binarization, binary-neural-networks, data-free-quantization, diffusion-models, efficient-inference, kv-cache |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [AI-Efficiency/Awesome-Model-Quantization](https://github.com/AI-Efficiency/Awesome-Model-Quantization) |

## Repository

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

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

## More repos by AI-Efficiency

- [AI-Efficiency/Awesome-Efficient-Diffusion · ★ 211 · Prototype](https://repo.masters-masters.com/en/repos/AI-Efficiency/Awesome-Efficient-Diffusion)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.