gptq

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

Production ready LLM model compression/quantization toolkit with hw accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.

Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU. Seamlessly integrated with Torchao, Transformers, and vLLM. Export your models effortlessly to autogptq, autoawq, gguf and autoround formats with high accuracy even at extremely low bit precision.

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

A guide about how to use GPTQ models with langchain

zero零训练llm调参

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

记录量化LLM中的总结。

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

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

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

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?

Effortlessly quantize, benchmark, and publish Hugging Face models with cross-platform support for CPU/GPU. Reduce model size by 75% while maintaining performance.