eCeLLM
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.
The last open version came out in Jul 2024. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- Ohio State University (NingLab), USA
- First release
- Feb 2024
- Latest release
- Jul 2024
- Sizes
- 2.7B – 13B
- License
- Commercial use with conditionsCC BY 4.0 on the weights; the base models Phi-2, Mistral and Llama 2 come with their own terms
- Russian
- Not supported
- Ready-made builds
- GGUF
- Running
- On your own serverAlso runs without a GPU
- Industries
- Retail and marketplaces, Customer support, Marketing and content
What it does
- Finding a product from a shopper request
- Answering questions about an item card
- Matching identical listings across catalogues
- Analysing reviews and customer questions
Where it is used
Hardware requirements
Versions
- Обновление карточек и весов
- eCeLLM-L (13B)
- eCeLLM-M (на базе Mistral 7B Instruct)
- eCeLLM-S (на базе Phi-2)
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. 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 eCeLLM be used in a commercial project?
With conditions. License: CC BY 4.0 on the weights; the base models Phi-2, Mistral and Llama 2 come with their own terms. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.
What hardware does eCeLLM 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 eCeLLM support Russian?
No. The developer documentation lists the supported languages and Russian is not among them.
Where can I download eCeLLM and what does it cost?
The eCeLLM 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
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.
DetailsRecommendersOneRec (OpenOneRec)Kuaishou · ChinaCommercial use allowedAn 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.
DetailsRecommendersEasyRec (HKUDS)HKUDS, University of Hong Kong · ChinaCommercial use allowedEncoders that put a text portrait of a shopper and a text description of an item into one vector space so they can be matched directly. They help where a new listing has no purchase statistics yet.
DetailsSource: huggingface.co/NingLab/eCeLLM-M. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.