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LC-Rec

An 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.

The last open version came out in Nov 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
Renmin University of China, China
First release
Nov 2023
Latest release
Nov 2023
Sizes
about 7B (a delta to LLaMA weights)
License
Commercial use with conditionsno licence is stated on the cards or in the repository; the weights are published as a delta to LLaMA, so LLaMA terms still apply
Russian
Not supported
Running
On your own serverNeeds 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
  • Turning a catalogue into short codes for the model
  • Recommendations from a shopper text request
  • A base for your own experiments with item codes

Where it is used

Online storesCatalogues and marketplacesResearch teams

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. LC-Rec: дельта-веса для категорий Games, Arts, Instruments

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 LC-Rec be used in a commercial project?

With conditions. License: no licence is stated on the cards or in the repository; the weights are published as a delta to LLaMA, so LLaMA terms still apply. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does LC-Rec 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 LC-Rec support Russian?

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

Where can I download LC-Rec and what does it cost?

The LC-Rec 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/bwzheng0324/lc-rec-games-delta. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.