167 5 months ago

Basic model for Q&A and classification tasks related to airlines. Finetuned Mistral model.

tools

5 months ago

f974a74358d6 · 4.1GB ·

llama
·
7.25B
·
Q4_0
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US
{ "stop": [ "[INST]", "[/INST]" ] }
{{- if .Messages }} {{- range $index, $_ := .Messages }} {{- if eq .Role "user" }} {{- if and (eq (l

Readme

✈️ Airline Chat Model

airline-chat-modelis a fine-tuned version of the Mistral model, optimized for tasks related to the airline industry. It supports both Q&A and classification use cases involving airline operations, customer service, travel policies, and more.

🚀 Use This Model

To run the model locally with Ollama:

ollama run Keval0406/airline-chat-model

💡 Capabilities

  • ✅ Answer questions about flights, bookings, baggage rules, etc.
  • ✅ Classify user intent in airline-related queries
  • ✅ Perform sentiment analysis on airline customer feedback
  • ✅ Understand aviation-specific terms and context

⚙️ Model Details

Feature Value
Base Model Mistral (fine-tuned)
Size 4.1 GB
Context 32K tokens
Input Type Text

📌 Example Use Cases

  • Customer Support Automation: “What is the baggage allowance for international flights?”
  • Chatbot Integration: “Help me reschedule my flight.”
  • Feedback Classification: “The boarding experience was terrible.”

🔬 Citation

This model is based on Mistral, developed by Mistral AI. If you use this model or derivatives in academic or research settings, please cite the original Mistral paper: Mistral AI. (2023). Mistral 7B. Retrieved from Mistral-Legacy-Models

🔒 License & Usage

This model is intended for research and development purposes. Please review applicable usage terms and ensure compliance when deploying in production.