Deepfake detectionText analysis

HC3 ChatGPT Detector

One of the first open AI-text classifiers, trained on the HC3 corpus of paired human and ChatGPT answers. It errs in both directions: its output is a reason to talk to the author, not proof.

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
Hello-SimpleAI, China
First release
Jan 2023
Latest release
Dec 2023
Sizes
about 125M (RoBERTa-base)
License
Commercial use with conditionsno license stated on the model card - usage rights need to be clarified separately
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Education, Media and production, Security, HR
Deploy on your server Hugging Face GitHub

What it does

  • First-pass check of student work
  • Filtering templated applications and reviews
  • Flagging suspicious texts for manual review
  • Fine-tuning for your own language and topic

Where it is used

EducationMedia and newsroomsHR and recruitingPlatform moderation

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. Последние обновления репозитория
  2. Китайские и смешанные версии детектора
  3. chatgpt-detector-roberta (английский)

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 HC3 ChatGPT Detector be used in a commercial project?

With conditions. License: no license stated on the model card - usage rights need to be clarified separately. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does HC3 ChatGPT Detector 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 HC3 ChatGPT Detector support Russian?

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

Where can I download HC3 ChatGPT Detector and what does it cost?

The HC3 ChatGPT Detector 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/Hello-SimpleAI/chatgpt-detector-roberta. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.