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}
}
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "NingLab/eCeLLM-S"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NingLab/eCeLLM-S", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'