GLiNER
Finds the entities you need in text without training: just list what to look for (name, amount, date). GLiNER2 also classifies text. Multilingual versions understand Russian.
- Developer
- Urchade Zaratiana and Fastino AI, France / USA
- First release
- Feb 2024
- Latest release
- Aug 2026
- Sizes
- about 50M to 500M
- License
- Commercial use allowedApache 2.0
- Russian
- Not stated
- Running
- On your own serverAlso runs without a GPU
- Industries
- Documents and accounting, Software development, Legal
What it does
- Extracting names, amounts and dates from emails and contracts
- Parsing requests into CRM fields
- Classifying requests by topic
Where it is used
Hardware requirements
Versions
- GLiNER2.5 small, base, multi
- GLiNER2 multi
- GLiNER2
- GLiNER v2.1 (в том числе multi)
- GLiNER base и multi
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 GLiNER 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 GLiNER 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 GLiNER support Russian?
The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.
Where can I download GLiNER and what does it cost?
The GLiNER 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
Small GLiNER-based models for finding personal data: passports, phone numbers, accounts, addresses. Data types are set in words. Russian is not officially supported.
DetailsText analysisDeBERTa-v3 и mDeBERTa-v3Microsoft · USACommercial use allowedA time-tested encoder behind many classifiers and NER models (including GLiNER). The multilingual mDeBERTa-v3 understands Russian.
DetailsText analysisruBERT, ruRoBERTa, ruELECTRA (ai-forever)SberDevices (ai-forever) · RussiaCommercial use allowedSber's Russian-language encoders trained on large Russian corpora. A base for classifiers, NER and semantic search in Russian.
DetailsSource: huggingface.co/fastino/gliner2.5-multi-v1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


