---
license: apache-2.0
tags:
  - hackathon
  - local-ai
  - hp-zgx-nano
---

# HP-Morningstar-Hackathon

Model collection staged for the HP + Morningstar AI Hackathon, designed to run locally on the HP ZGX Nano AI Station.

## Models

| Model | Size | Use Case |
|-------|------|----------|
| Qwen/Qwen3-14B-AWQ | 14B params (4-bit) | Agent LLM with strong structured output |
| Qwen/Qwen3.6-27B-FP8 | 27B params (FP8) | Higher-capability agent for complex reasoning |
| mistralai/Ministral-3-8B-Instruct-2512 | 3.8B params | Lightweight/fast agent for rapid iteration |


## Purpose

These models are pre-staged for a 4-hour hackathon where Morningstar developers build a multi-tool financial compliance agent running entirely on local infrastructure. The models were selected for compatibility with the ZGX Nano's 128GB unified memory and Ollama's serving capabilities.

## Usage

Clone this repo to the ZGX Nano and serve via Ollama or load directly with transformers/vLLM.