ragib01/Qwen3-4B-customer-support
ragib01/Qwen3-4B-customer-support is a 4 billion parameter Qwen3-based language model fine-tuned by ragib01 for customer support interactions. Optimized using QLoRA for memory efficiency, it excels at handling common customer service scenarios, including order tracking, refunds, and general inquiries. This model features tool-calling capabilities for structured data retrieval and robust entity extraction, making it ideal for automated customer service chatbots. It also inherits multilingual support from its base model and maintains MCP compatibility.
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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.