AdaptLLM Finance
Finance-tuned versions of Llama 2: reading industry texts, reports and questions about terminology. Not investment advice: decisions are made by a specialist.
The last open version came out in Dec 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- AdaptLLM, not disclosed
- First release
- Sep 2023
- Latest release
- Dec 2023
- Sizes
- 7B и 13B
- License
- Commercial use with conditionsLlama 2 license (the models are built on Llama 2)
- Russian
- Not supported
- Ready-made builds
- GGUF
- Running
- On your own serverNeeds a GPU
- Industries
- Finance, Documents and accounting, Education
What it does
- Reading financial news and reports
- Answering questions about financial terminology
- A base for fine-tuning to your own financial task
Where it is used
Hardware requirements
Versions
- finance-chat и finance-LLM-13B
- finance-LLM 7B
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 AdaptLLM Finance be used in a commercial project?
With conditions. License: Llama 2 license (the models are built on Llama 2). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does AdaptLLM Finance need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller 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 AdaptLLM Finance support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download AdaptLLM Finance and what does it cost?
The AdaptLLM Finance 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
An open set of lightweight add-ons for ordinary language models that work with financial texts and news. Not investment advice: decisions are made by a specialist.
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.
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.
DetailsSource: huggingface.co/AdaptLLM/finance-LLM-13B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


