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.
