mmoralesf/mariana-qwen3-14b
mmoralesf/mariana-qwen3-14b is a 14 billion parameter language model, fine-tuned from Qwen/Qwen3-14B, specifically optimized for automotive sales conversations in Mexican Spanish. It excels at tasks like vehicle inventory search, financing calculations, and lead capture, leveraging 11 custom tools in Hermes format. This model is designed as a virtual sales assistant for used car dealerships, providing specialized domain knowledge and tool-calling capabilities.
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Overview
mmoralesf/mariana-qwen3-14b is a specialized 14 billion parameter language model, fine-tuned from the Qwen3-14B base model. Its primary purpose is to act as a virtual sales assistant for the automotive industry, specifically tailored for used car dealerships in Mexico. The model is trained to handle conversations in Mexican Spanish and integrates tool-calling functionalities.
Key Capabilities
- Automotive Sales Specialization: Optimized for dialogues related to buying and selling used cars.
- Mexican Spanish: Proficient in the nuances of Mexican Spanish for natural interactions.
- Tool Calling: Supports 11 custom tools using the Hermes format, enabling advanced functionalities.
- Domain-Specific Tasks: Capable of vehicle inventory search, providing recommendations, calculating financing options, and sharing business information (hours, locations, policies).
- Lead Management: Designed to assist with lead capture and follow-up processes.
Training Details
The model was fine-tuned using the LoRA method (r=16, alpha=32) on a synthetic dataset of automotive sales conversations. This targeted training ensures its high performance within the specified domain.
Good For
- Automated customer service for used car dealerships in Mexico.
- Virtual sales assistants requiring specialized automotive knowledge.
- Applications needing tool-calling capabilities for sales-related tasks.