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stochasticai/xTuring

xTuring simplifies the process of fine-tuning and deploying open-source Large Language Models (LLMs) on private data, ensuring privacy, efficiency, and scalability.

Core Features

Simplified API for LLM fine-tuning, training, and inference.

Ensures privacy with local or private cloud deployment.

Cost-efficient and scalable using LoRA, INT8/INT4 quantization, and multi-GPU support.

Supports a wide range of open-source LLMs (e.g., GPT-OSS, LLaMA 2, Qwen3, Mistral).

Includes built-in model evaluation capabilities and CPU inference optimization.

Quick Start

pip install xturing

Detailed Introduction

xTuring is an open-source framework designed to empower developers and organizations to build, personalize, and control their own Large Language Models. It streamlines the entire LLM lifecycle, from data pre-processing to fine-tuning and inference, on private data. By supporting techniques like LoRA and low-precision quantization (INT8/INT4), xTuring significantly reduces the cost and computational resources required. It offers a simple API, ensuring privacy by allowing local or VPC deployment, and scales efficiently across diverse hardware, making advanced LLM customization accessible to a broader audience.