GGUF
conversational
How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf get2sammy/samxai-insurance
# Run inference directly in the terminal:
llama cli -hf get2sammy/samxai-insurance
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf get2sammy/samxai-insurance
# Run inference directly in the terminal:
llama cli -hf get2sammy/samxai-insurance
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf get2sammy/samxai-insurance
# Run inference directly in the terminal:
./llama-cli -hf get2sammy/samxai-insurance
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf get2sammy/samxai-insurance
# Run inference directly in the terminal:
./build/bin/llama-cli -hf get2sammy/samxai-insurance
Use Docker
docker model run hf.co/get2sammy/samxai-insurance
Quick Links

Insurance Underwriting Copilot - AI Model

Overview

The Insurance Underwriting Copilot is an AI model designed to assist insurance professionals in evaluating applications, summarizing medical reports, assessing risks, and ensuring regulatory compliance.

Built on DeepSeek R1 (14B) and fine-tuned for underwriting-specific tasks, this model provides structured, consistent, and unbiased insights to streamline decision-making.

Features

  • 🔍 Risk Assessment – Identifies key risk factors, missing data, and inconsistencies.
  • 📑 Medical Report Summarization – Converts complex medical jargon into structured insights.
  • 📜 Regulatory Compliance – Ensures adherence to insurance laws and ethical guidelines.
  • 💡 Context Awareness – Maintains references from prior interactions.
  • 📂 Structured Responses – Outputs markdown-formatted responses for clarity.

License

This project is licensed under the MIT License – see the LICENSE file for details.

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GGUF
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Architecture
qwen2
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