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stochasticai/xTuring

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

Core Features

Simple API for data preparation, training, and inference.

Private by default, deployable locally or in a private cloud (VPC).

Efficient fine-tuning using LoRA and low-precision (INT8/INT4) quantization.

Scalable from CPU/laptop to multi-GPU environments.

Built-in model evaluation with metrics like perplexity.

Supports a wide range of open-source LLMs including GPT-OSS, LLaMA/LLaMA 2, Qwen3, and Mistral.

Optimized CPU inference via Intel® Extension for Transformers.

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 lifecycle from data pre-processing to fine-tuning, evaluation, and inference of popular open-source LLMs like LLaMA, GPT-OSS, and Qwen. Emphasizing privacy, efficiency, and scalability, xTuring allows users to run models locally or within their private cloud, leveraging techniques like LoRA and INT4/INT8 quantization to reduce costs and resource requirements. It provides a robust toolkit for creating tailored, private AI solutions.