microsoft/TransformerCompression

Python package for LLM compression

State-of-the-art LLM compression, built for production inference with vLLM

Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf and PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression https://arxiv.org/abs/2405.14852

A Lossless Compression Library for AI pipelines

Official implementation of LittleBit (NeurIPS 2025) and its follow-up LittleBit-2 (ICML 2026)

LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.

Awesome LLM compression research papers and tools.

Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.