SOTA低比特LLM量化(INT 8/FP 8/MXFP 8/INT 4/MXFP 4/NVFP 4)和稀疏性; PyTorch、TensorFlow和ONNX SYS上领先的模型压缩技术
gptq 开源项目推荐(119 个)
gptq 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 119 个仓库LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
Large Language Models for All, 🦙 Cult and More, Stay in touch !
🦖 X—LLM:前沿与简易LLM精炼
Strata fork: Qwen3.8-Flash-Next 125B MoE in NVFP4 on one RTX 20-50 card (12 GB+) and 64 GB of RAM or more. Setup installs our GPTQ quants (huihui abliterated, OrcaRouter) from Hugging Face. CPU experts on AVX-512 or AVX2 (+AVX-VNNI), all experts in RAM from 92 GB, a low-RAM mode below, vision, W4A8 prompts. Windows / CUDA 13.
Run any Large Language Model behind a unified API
🪶 Lightweight OpenAI drop-in replacement for Kubernetes
记录量化LLM中的总结。
A guide about how to use GPTQ models with langchain
A tiered-memory system design for workloads that don't fit in RAM: measure the working set, pin the hot tier, stream the cold tier from flash. Ships the residency calculator, measurement harnesses, and the build recipes behind it. Predictions validated against public benchmarks.
Run gguf LLM models in Latest Version TextGen-webui and koboldcpp
Private self-improvement coaching with open-source LLMs
An OpenAI Compatible API which integrates LLM, Embedding and Reranker. 一个集成 LLM、Embedding 和 Reranker 的 OpenAI 兼容 API
ChatSakura:Open-source multilingual conversational model.(开源多语言对话大模型)
GPTQ optimized for Ampere (RTX 3090/3060) — Marlin JIT nvcc compatibility fixes included
Compress Any LLM Up to 6x in One Command. Unified CLI for GGUF, GPTQ, and AWQ quantization.
This repository is for profiling, extracting, visualizing and reusing generative AI weights to hopefully build more accurate AI models and audit/scan weights at rest to identify knowledge domains for risk(s).
A.L.I.C.E (Artificial Labile Intelligence Cybernated Existence). A REST API of A.I companion for creating more complex system
🎯 Fine-tune large language models and use them for text-related tasks. This repository provides a straightforward approach to fine-tuning models like Gemma, Llama 🦙, and Mistral 🌪️ for various NLP tasks. 🔧 It includes training 📚, fine-tuning 🛠️, and inference pipelines ⚙️. 🚀
本来叫 nano 的,后来发现装不下 Qwen3.5,就改名叫 big 了
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/gptq。
- 该话题在 GitHub 上共有 119 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 5686 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。