wenge-research/YAYI

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2527 stars · 45 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

YAYI is a family of open-source Chinese-optimized large language models (7B/13B) instruction-tuned from LLaMA 2 and BLOOM base models by Wenge Technology. The repo provides inference code, prompt formatting, and links to Hugging Face model weights for multi-domain Chinese NLP tasks.

Use cases

• run a chinese chat llm locally
• deploy a chinese instruction-tuned llama2 model
• fine-tune or use a chinese domain llm for finance or public safety tasks
• chat with a bilingual chinese-english assistant model
• download yayi 7b 13b weights from huggingface

When to choose

• you need a Chinese-focused open LLM based on LLaMA 2 or BLOOM
• you want self-hosted model weights with permissive Apache-2.0 code licensing
• your tasks span media, public opinion, finance, or public-safety domains

When to avoid

• you need state-of-the-art general LLM performance from actively maintained models
• you require commercial model licensing freedom (model weights use a custom YAYI license and data is CC BY-NC)
• you need a managed API rather than self-hosted GPU inference

Facets

library · maturity maintenance

llm-inference machine-learning chatbot large-language-models artificial-intelligence python chinese-llm llama2 bloom instruction-tuning open-weights chat-model natural-language-processing gpu linux

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