Intended Use
The model is designed for e-commerce customer-service style responses, including:
- product questions
- logistics and shipping questions
- return and refund questions
- price protection questions
- complaint handling and customer reassurance
Training Data
The training pipeline uses public customer-service/e-commerce datasets:
rescommons/Full-Ecom-Chatbot-Dataset
DianJin/DianJin-CSC-Data
Please review the original dataset licenses and terms before commercial use.
Training Method
- Base model:
Qwen/Qwen3-4B-Instruct-2507
- Method: QLoRA
- LoRA rank: 32 by default
- Sequence length: 1024 by default
- Hardware target: NVIDIA RTX 4070 Super 12GB
Limitations
This model is a personal portfolio fine-tune and should not be treated as a production customer-service system without additional evaluation, safety review, and business-policy grounding.
It may:
- produce incorrect refund or warranty policy details
- invent product information
- fail on business-specific rules
- respond inconsistently across Chinese and English
For production use, connect it to verified product, order, and policy data.
Example
User: 商品质量一般啊,我要退货
Assistant: 很抱歉让您有这样的体验。您可以先提供订单号和商品问题描述,我会帮您确认是否符合退货条件,并引导您提交退货申请。