Ecellm M

🚀 eCeLLM-M

This repository contains models for "eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data", aiming to provide effective solutions for e - commerce language processing.

🚀 Quick Start

This repository offers models developed in the research of "eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data". You can explore and utilize these models according to your needs.

✨ Features

• Leveraging the ECInstruct dataset, we developed eCeLLM by performing instruction tuning on general - purpose LLMs (base models).
• The eCeLLM - M model is instruction - tuned from the large base model Mistral-7B Instruct-v0.2.

📄 License

The project is licensed under CC - BY - 4.0.

📚 Documentation

Datasets

The project uses the following dataset:

• NingLab/ECInstruct

Citation

@inproceedings{
    peng2024ecellm,
    title={eCe{LLM}: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data},
    author={Bo Peng and Xinyi Ling and Ziru Chen and Huan Sun and Xia Ning},
    booktitle={Forty-first International Conference on Machine Learning},
    year={2024},
    url={https://openreview.net/forum?id=LWRI4uPG2X}
}