DISC-FinLLM
A 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.
The last open version came out in Oct 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- Fudan-DISC, Fudan University, China
- First release
- Oct 2023
- Latest release
- Oct 2023
- Sizes
- 13B
- License
- Commercial use with conditionsApache 2.0 on the model card; the Baichuan-13B-Chat base model has its own license
- Russian
- Not supported
- Running
- On your own serverNeeds a GPU
- Industries
- Finance, Customer support, Documents and accounting
What it does
- In-house advice on financial questions
- Reading financial documents and news
- Prompts for front-office staff
Where it is used
Hardware requirements
Versions
- DISC-FinLLM на базе Baichuan-13B-Chat
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.
Frequently asked questions
Can DISC-FinLLM be used in a commercial project?
With conditions. License: Apache 2.0 on the model card; the Baichuan-13B-Chat base model has its own license. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does DISC-FinLLM 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 DISC-FinLLM support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download DISC-FinLLM and what does it cost?
The DISC-FinLLM 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 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.
DetailsFinanceFin-R1Shanghai University of Finance and Economics (SUFE) · ChinaCommercial use allowedA reasoning model for financial tasks based on Qwen2.5-7B: calculations, report analysis, regulatory questions. Trained on Chinese and English data.
DetailsFinanceFinMA (PIXIU)The Fin AI / ChanceFocus · international projectCommercial use with conditionsOne of the first open model families for financial text: reading statements, news and questions about numbers. Not investment advice: decisions are made by a specialist.
DetailsSource: huggingface.co/Go4miii/DISC-FinLLM. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


