SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

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

Large Language Models for All, 🦙 Cult and More, Stay in touch !

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

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

Run gguf LLM models in Latest Version TextGen-webui and koboldcpp

An OpenAI Compatible API which integrates LLM, Embedding and Reranker. 一个集成 LLM、Embedding 和 Reranker 的 OpenAI 兼容 API

Private self-improvement coaching with open-source LLMs

ChatSakura：Open-source multilingual conversational model.（开源多语言对话大模型）

A.L.I.C.E (Artificial Labile Intelligence Cybernated Existence). A REST API of A.I companion for creating more complex system

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).

🎯 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 ⚙️. 🚀

Conversation AI model for open domain dialogs

This project will develop a NEPSE chatbot using an open-source LLM, incorporating sentence transformers, vector database and reranking.

Code for NAACL paper When Quantization Affects Confidence of Large Language Models?

Optimized Qwen2.5-3B using GPTQ, reducing size from 5.75GB → 1.93GB and improving inference speed. Ideal for efficient edge AI deployments.

LLM quantization techniques: absmax, zero-point, GPTQ and GGUF