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wenge-research/YAYI

YaYi is an open-source Chinese Large Language Model, built on LLaMA 2 & BLOOM, designed for secure, reliable, and domain-specific applications through extensive instruction tuning.

Core Features

Built on LLaMA 2 & BLOOM architectures for robust performance.

Trained with extensive Chinese and English multi-domain instruction data.

Enhanced capabilities in Chinese language understanding and domain-specific analysis.

Supports multi-turn dialogue and offers plugin integration.

Provides flexible fine-tuning options including full-parameter and LoRA methods.

Detailed Introduction

YaYi is an open-source large language model developed by Wenge Research, built upon the LLaMA 2 and BLOOM architectures. It is specifically instruction-tuned on millions of high-quality, domain-specific Chinese and English datasets, covering areas like media, public opinion, public safety, financial risk, and urban governance. The project aims to provide a secure and reliable proprietary LLM solution for enterprises, enhancing its Chinese foundational capabilities, domain analysis, multi-turn dialogue, and plugin integration. Through continuous optimization based on extensive user feedback, YaYi ensures high performance and safety, contributing to the development of the Chinese pre-trained large model open-source community. It offers flexible deployment and fine-tuning options, making it a valuable asset for custom AI applications.