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tneurb/mistral-insurance-ticket-formatter
mistral-insurance-ticket-formatter is a machine learning model from tneurb. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A LoRA adapter for Mistral-7B-Instruct-v0.2 that converts informal, messy stakeholder requests into structured engineering tickets (Title + Description format), specialized for insurance industry workflows — claims, u…
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Updated Jul 11, 2026
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From the Hugging Face model README
A LoRA adapter for Mistral-7B-Instruct-v0.2 that converts informal, messy stakeholder requests into structured engineering tickets (Title + Description format), specialized for insurance industry workflows — claims, underwriting, billing, compliance, and policy admin.
Input: "the system doesnt stop someone from binding a policy in a state we're not even licensed to sell in"
Base Mistral: Produces a rambling response with inconsistent structure ("Steps to Reproduce," "Expected Result," closing with "We appreciate your prompt response on this critical security concern.")
Fine-tuned:
Title: Unauthorized Policy Binding in Unlicensed State Description: The current system configuration allows users to bind policies in states where our organization is not authorized...
Fine-tuning did NOT make the model "smarter" — it changed its behavior: consistent Title/Description structure, terse professional tone, no conversational filler. This is the real distinction between fine-tuning (behavior/style) and RAG (knowledge) — this project isolates and demonstrates that difference directly.