XuanYuan
A large Chinese model family for the financial industry: advice, document reading and long texts up to 8k-16k. Not investment advice: decisions are made by a specialist.
- Developer
- Du Xiaoman (Duxiaoman-DI), China
- First release
- Sep 2023
- Latest release
- Dec 2024
- Sizes
- 6B – 176B
- License
- Commercial use with conditionsLlama 2 and Llama 3.1 licenses depending on the version
- Russian
- Not supported
- Ready-made builds
- 8-bit, 4-bit
- Running
- On your own serverNeeds a GPU
- Industries
- Finance, Customer support, Documents and accounting
What it does
- Answering customer questions about banking products
- Working through long financial documents
- An internal assistant for a finance company regulations
Where it is used
Hardware requirements
Versions
- Llama3.1-XuanYuan-FinX1-Preview
- Llama3-XuanYuan3-70B
- XuanYuan-6B и XuanYuan-13B
- XuanYuan2-70B
- XuanYuan-13B-Chat
- XuanYuan-70B и XuanYuan-176B
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.
Frequently asked questions
Can XuanYuan be used in a commercial project?
With conditions. License: Llama 2 and Llama 3.1 licenses depending on the version. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does XuanYuan need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does XuanYuan support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download XuanYuan and what does it cost?
The XuanYuan weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
A reasoning model for financial tasks based on Qwen2.5-7B: calculations, report analysis, regulatory questions. Trained on Chinese and English data.
DetailsFinanceDISC-FinLLMFudan-DISC, Fudan University · ChinaCommercial use with conditionsA financial assistant made of several fine-tuned experts: advice, calculations, document reading and knowledge-base search. Not investment advice: decisions are made by a specialist.
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DetailsSource: huggingface.co/Duxiaoman-DI/Llama3.1-XuanYuan-FinX1-Preview. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


