RecommendersText

P5

An 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.

The last open version came out in Dec 2022. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Rutgers University, USA
First release
Dec 2022
Latest release
Dec 2022
Sizes
small and base versions built on T5
License
Commercial use allowedMIT
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Retail and marketplaces, Media and production, Science and research
Deploy on your server Hugging Face GitHub

What it does

  • Suggesting the next item from history
  • Predicting an item rating
  • A text explanation of a recommendation
  • A base for your own experiments

Where it is used

Online storesMedia and review cataloguesResearch and training

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. P5 sports, toys, yelp — версии small и base
  2. P5 (beauty, small)

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 P5 be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does P5 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 P5 support Russian?

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

Where can I download P5 and what does it cost?

The P5 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/makitanikaze/P5. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.