---
license: llama2
base_model: NousResearch/Llama-2-7b-hf
tags:
- e-commerce
- llama
- text-generation
- merged
pipeline_tag: text-generation
---

# LLaMA-Ecommerce

This is a merged model combining [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) with [DSMI/LLaMA-E](https://huggingface.co/DSMI/LLaMA-E) LoRA adapter.

## Model Description

LLaMA-E is specialized for e-commerce content generation tasks including:
- Product descriptions
- Advertisements  
- Product titles
- E-commerce Q&A
- Purchase intent analysis

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("askcatalystai/llama-ecommerce")
tokenizer = AutoTokenizer.from_pretrained("askcatalystai/llama-ecommerce")

prompt = "***Instruction: Write a product description\n***Input: Blue cotton t-shirt, comfortable fit\n***Response:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0]))
```

## Original Work

Based on research: [LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following](https://arxiv.org/abs/2308.04913)

## License

This model is subject to the [Llama 2 Community License](https://ai.meta.com/llama/license/).