FinanceText analysis

FinBERT

A classic model that determines the tone of financial news: positive, negative or neutral. English only, runs fast on a CPU.

The last open version came out in Dec 2020. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Prosus, Netherlands
First release
Dec 2020
Latest release
Dec 2020
Sizes
110M
License
Commercial use allowedApache 2.0 (per the GitHub repository)
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Finance
Deploy on your server Hugging Face GitHub

What it does

  • Scoring the tone of company news
  • Labeling reports and press releases
  • Signals for analytics dashboards

Where it is used

Investment analyticsBanksFinancial media

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. FinBERT (ProsusAI/finbert)

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

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 FinBERT be used in a commercial project?

Yes. License: Apache 2.0 (per the GitHub repository). It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does FinBERT need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does FinBERT support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download FinBERT and what does it cost?

The FinBERT 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

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/ProsusAI/finbert. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.