RecommendersText

OneRec (OpenOneRec)

An open foundation model for recommendations from a short-video service: browsing and purchase history is fed to the model as a sequence and it predicts the next item or clip. Fine-tuning on your own data is required.

Developer
Kuaishou, China
First release
Dec 2025
Latest release
Jul 2026
Sizes
1.7B, 8B
License
Commercial use allowedApache 2.0
Russian
Not stated
Ready-made builds
GGUF
Running
On your own serverAlso runs without a GPU
Industries
Retail and marketplaces, Media and production, Marketing and content
Deploy on your server Hugging Face GitHub

What it does

  • A personal feed of products or content
  • Picking the next item from order history
  • Recommendations inside ad slots
  • Explaining why a given card is shown

Where it is used

Online stores and marketplacesMedia and video servicesAdvertising and marketing

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
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. OneReason-8B
  2. OneReason-0.8B
  3. OneRec-1.7B-pretrain
  4. OneRec-Tokenizer для своих каталогов
  5. Технический отчёт и набор задач RecIF-Bench
  6. OneRec-1.7B и OneRec-8B

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 OneRec (OpenOneRec) 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 OneRec (OpenOneRec) 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 OneRec (OpenOneRec) 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 OneRec (OpenOneRec) and what does it cost?

The OneRec (OpenOneRec) 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.

Similar models

RecommendersHLLMByteDance · ChinaCommercial use with conditions

A two-level design: one language model reads the item description, the second builds the shopper interest from history. Ready checkpoints at 1B and 7B are published, but they need fine-tuning for your own catalogue.

DetailsRecommendersMiniOneRecMiniOneRec open project · ChinaCommercial use allowed

A small open generative recommender at 1.5B with published checkpoints and a full training pipeline. Handy as a learning and starter option; a real store needs fine-tuning on its own orders.

DetailsRecommendersRecGPTVinAI Research · VietnamNon-commercial only

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.

Details

Source: huggingface.co/OpenOneRec/OneRec-1.7B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.