--- license: llama2 ---
LLaMA-E

LLaMA-E

### Model Introduction LLaMA-E is meticulously crafted for e-commerce authoring tasks, incorporating specialized features to excel in generating product descriptions, advertisements, and other related content, as outlined in https://arxiv.org/abs/2308.04913#/. ### Usage Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.10: ``` python inference.py --load_8bit --base_model 'meta-llama/Llama-2-7b-hf' --lora_weights './DSMI/LLaMA-E/7b' ``` ``` ***Instruction: Where can I buy the handmade jewellery? ***Response: Etsy, NOVICA, UncommonGoods, World Market, and Global Crafts offer unique handmade jewelry from artisans worldwide. ***Instruction: Create an attractive advertisement for the Christmas sale of the following product. ***Input: Custom Photo Music Plaque,Personalized Photo Frame,Album Cover Song Plaque,Music Photo Name Night Lamp,Photo and Music Gift, Music Prints ***Response: Personalize your music space with a Custom Photo Music Plaque. Add your favorite photo and song lyrics to create a unique gift for music lovers. ``` ### Citation If you find our work helpful, please consider [citing][paper] the following papers. ```bibtex @article{shi2023llama, title={LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following}, author={Shi, Kaize and Sun, Xueyao and Wang, Dingxian and Fu, Yinlin and Xu, Guandong and Li, Qing}, journal={arXiv preprint arXiv:2308.04913}, year={2023} } ``` ### License The model released here is under the [Llama-2 LICENSE][license] to ensure more flexible accessibility; please adhere to the corresponding licence. ### Acknowledgements The code for the inference is based on the [tloen][tloen] [license]: [paper]: [tloen]: