Model Overview

ragib01/Qwen3-4B-customer-support is a 4 billion parameter language model, fine-tuned from unsloth/Qwen3-4B-Instruct-2507 specifically for customer support applications. It leverages QLoRA (4-bit quantization with LoRA adapters) for efficient training and deployment, making it memory-efficient with only 0.81% of its parameters being trainable.

Key Capabilities

• Tool-Calling: Designed to generate structured tool calls for actions like order tracking, invoice lookup, and refund processing, enabling integration with external systems.
• Entity Extraction: Proficiently identifies and preserves critical information such as order numbers, dates, email addresses, and account details from customer queries.
• Multilingual Support: Inherits the multilingual capabilities of the base Qwen3 model, allowing it to handle diverse language inputs.
• MCP Compatible: Preserves its architecture for compatibility with the Model Context Protocol.

Good For

This model is particularly well-suited for automating and enhancing various customer service functions:

• Customer Support Chatbots: Providing automated responses to frequently asked questions and common inquiries.
• Order Management: Assisting with tracking, cancellation, and modification of orders.
• Refund and Invoice Processing: Streamlining requests and providing detailed information.
• Account and Product Information: Answering questions related to user accounts, products, shipping, and policies.