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Mistral 7B Insurance Rule Model

Complete Mistral 7B model with integrated insurance rule adapter for prescription approval.

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the model
model = AutoModelForCausalLM.from_pretrained("your-username/mistral-insurance-model")
tokenizer = AutoTokenizer.from_pretrained("your-username/mistral-insurance-model")

# Or use the included inference script
from inference import MistralInsuranceModel
model = MistralInsuranceModel("./")

# Process prescription
result = model.process_prescription("Your prescription text...")
print(result)  # "APPROVE" or "DENY - reason"

Model Details

  • Base: Mistral 7B Instruct
  • Integrated: Insurance rule adapter
  • Output: Simple APPROVE/DENY responses
  • Requirements: GPU with 16GB+ VRAM
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