qwen-0.6B-frontoffice-slm

Qwen 0.6B Fine-Tuned on Hospitality Front Office

🧑‍💼 Overview

This model is a fine-tuned version of Qwen 0.6B, adapted specifically for the Front Office domain in hotels. It was trained on 1,400 curated instruction–response examples covering operational tasks such as check-in and checkout procedures, guest communication, billing scenarios, and reservation workflows.

🎯 Intended Use

• Training assistant for hotel Front Office teams
• SOP clarification and quick operational guidance
• Guest communication drafting and scenario-based support
• Workflow assistance for check-in, check-out, billing, and reservations
• Voice/chat assistant integration for hotel departments

⚙️ Model Details

• Base Model: Qwen 0.6B
• Architecture: Decoder-only Transformer
• Fine-Tuned On: Hospitality Front Office dataset
• Training Format: Instruction–response pairs in text format
• Total Samples Used: 1,400 high-quality examples

⚠️ Limitations

• Not designed for legal or financial advice
• May produce incorrect answers outside hospitality domain
• Training dataset is domain-focused, not general-purpose
• Should not be used for high-stakes decision-making

📌 License

MIT

📁 Files Included

• model weights
• tokenizer
• config.json
• special_tokens_map.json
• generation_config.json (optional)

📊 Evaluation

The model was tested on unseen prompts and showed strong alignment with hospitality workflows. Example generations include accurate responses to guest satisfaction queries, billing clarifications, and reservation handling.