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

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

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

Advanced Quantization Algorithm for LLMs. This is official implementation of "Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs"

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

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

Private self-improvement coaching with open-source LLMs

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).

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

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

Run gguf LLM models in Latest Version TextGen-webui

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.

Quantizing LLMs using GPTQ

Personal GitHub repository for stashing resources on Large Language Models (LLM), including Jupyter Notebooks on open source LLMs, use-cases with Langchain and R&D paper review.

Hands on some LLMs

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