Text analysisFinance

FlowX OpenNER

A family of small models that pull amounts, deal parties, jurisdictions, accounts and sanctions-screening mentions out of banking and insurance texts. A human makes the decision on a disputed operation; automatic blocking without review is not acceptable.

Developer
FlowX.AI, USA and Romania
First release
Jul 2026
Latest release
Sep 2026
Sizes
about 150M (based on ModernBERT-base)
License
Commercial use allowedApache 2.0
Russian
Not supported
Ready-made builds
8-bit
Running
On your own serverAlso runs without a GPU
Industries
Finance, Legal, Documents and accounting
Deploy on your server Hugging Face

What it does

  • Extracting amounts, parties and jurisdictions from operation descriptions
  • Parsing customer due diligence material and sanctions lists
  • Marking account numbers and payment details in documents
  • Preparing structured cards for payout claims

Where it is used

Banks and payment servicesInsuranceCompliance and document workflow

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. Обновление карточек
  2. Банковские модели: amlnarrate, sanctionscreen, kycextract, txnclassify, counterpartylink
  3. cee-pii, первая модель семейства

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. 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 FlowX OpenNER be used in a commercial project?

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

What hardware does FlowX OpenNER 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 FlowX OpenNER support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download FlowX OpenNER and what does it cost?

The FlowX OpenNER 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/flowxai/amlnarrate. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.