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

text
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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。