--- license: llama3.2 base_model: - meta-llama/Llama-3.1-8B tags: - intent-classification - knowledge-distillation - customer-service --- # 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](https://www.distillabs.ai/) 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: contact@distillabs.ai