Model Card for Distil-CustomerServiceIntent-Llama3B

This model is a highly efficient Small Language Model (SLM) fine-tuned for customer service intent classification. It is designed to quickly and accurately route incoming customer service chatbot requests into three distinct, high-volume categories, enabling automated responses and efficient routing.

The model was created using using the distil labs platform.

Model Details

Model Description

• Developed by: Mary Newhauser with Distil Labs GmbH
• License: Llama 3.2 Community License Agreement
• Finetuned from model: meta-llama/Llama-3.1-8B

Task: Text Classification (Intent Recognition)

The model classifies user input into one of three distinct, mutually exclusive categories:

ID	Class Name	Description
0	order_status	Questions regarding the status of an existing order (processing, in fulfillment, delivered, etc.). Excludes courier-specific inquiries.
1	delivery_inquiry	All questions specifically related to the physical delivery or courier actions. Includes questions about package location, expected delivery date, or rescheduling requests.
2	return_inquiry	All questions related to the company's specific return policy, the return process, or confirmation of a returned item receipt.

How to Get Started with the Model

Use the code below to get started with the model.

Model Card Contact

Contact: [email protected]