RecGPT
A 7B language model further trained on review and product-card text for recommendation and rating-prediction tasks. The licence forbids commercial use; a store still needs its own order history.
The last open version came out in Apr 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- VinAI Research, Vietnam
- First release
- Apr 2024
- Latest release
- Apr 2024
- Sizes
- 7B
- License
- Non-commercial onlyCC BY-NC 4.0 - non-commercial use only
- Russian
- Not supported
- Running
- On your own serverNeeds a GPU
- Industries
- Retail and marketplaces, Media and production, Science and research
What it does
- Predicting the rating a user would give an item
- Suggesting the next purchase from history
- Researching text-based recommendations
- Comparing approaches on your own data
Where it is used
Hardware requirements
Versions
- RecGPT-7B-Instruct
- RecGPT-7B
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 RecGPT be used in a commercial project?
No. License: CC BY-NC 4.0 - non-commercial use only. A commercial product needs a different model or a separate agreement with the rights holder.
What hardware does RecGPT need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does RecGPT support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download RecGPT and what does it cost?
The RecGPT 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
Three language models tuned on a large set of commerce instructions: product selection, answers from the item card, matching listings, review analysis. Your own assortment still needs fine-tuning.
DetailsRecommendersLC-RecRenmin University of China · ChinaCommercial use with conditionsAn approach where every item gets a short identifier code that a language model understands, and the model predicts that code. Delta weights for three categories are published; no licence is stated on the card.
DetailsRecommendersP5Rutgers University · USACommercial use allowedAn early and still popular approach where recommendations are expressed as plain text: one small engine handles selection, rating and explanation. Checkpoints are trained on public datasets; a store needs its own.
DetailsSource: huggingface.co/vinai/RecGPT-7B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


