File size: 889 Bytes
a4bae70
 
a7ab4f4
189c737
a4bae70
a7ab4f4
 
 
 
 
 
29f0f09
d65f92f
 
 
c930223
 
 
 
 
 
 
d65f92f
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
---
license: cc-by-4.0
datasets:
- NingLab/ECInstruct
---
# eCeLLM-M

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-M model is instruction-tuned from the large base models [Mistral-7B Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).

## Citation
```bibtex
@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}
}
```