Deepfake detectionText analysis

RADAR

An AI-text detector trained together with a paraphraser: it was deliberately taught not to give up when the text has been rewritten. It errs in both directions; a human reviews the output.

Developer
IBM Research and The Chinese University of Hong Kong, USA
First release
Jun 2023
Latest release
Sep 2025
Sizes
about 355M (RoBERTa-large)
License
Commercial use with conditionsApache 2.0 for the code; the weights on Hugging Face state no license
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Education, Media and production, Security, Legal
Deploy on your server Hugging Face GitHub

What it does

  • Checking texts that may have been rewritten after generation
  • First-pass filtering in a newsroom or admissions office
  • Comparison against simpler detectors
  • Research into detection robustness

Where it is used

EducationMedia and newsroomsInformation securityCompliance

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. Обновления репозитория с кодом
  2. Обновление карточки модели
  3. RADAR-Vicuna-7B (детектор на RoBERTa-large)

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 RADAR be used in a commercial project?

With conditions. License: Apache 2.0 for the code; the weights on Hugging Face state no license. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does RADAR 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 RADAR support Russian?

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

Where can I download RADAR and what does it cost?

The RADAR 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/TrustSafeAI/RADAR-Vicuna-7B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.