eCeLLM-S

This repo contains the models for "eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data"

eCeLLM Models

Leveraging ECInstruct, we develop eCeLLM by instruction tuning general-purpose LLMs (base models). The eCeLLM-S model is instruction-tuned from the large base models Phi-2.

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}
}
Downloads last month
28
Safetensors
Model size
2.78B params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train NingLab/eCeLLM-S