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.