---
base_model: nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
library_name: gguf
tags:
  - cityquest
  - nemotron
  - game-generation
  - llama.cpp
---

# CityQuest Nemotron 3 Nano 4B (Q4_K_M GGUF)

LoRA fine-tune of `nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16` on the CityQuest location-based game dataset
(~840 train / 92 val examples across scavenger hunt, hide-and-seek and tag).

Trained to emit games directly in the app's `game_schema.json` contract
(non-reasoning / JSON-only). Drop-in replacement for the stock Nemotron GGUF in
`app/services/generator.py`.

- LoRA r=16, alpha=16, epochs=3, lr=0.0002
- Loaded via native `transformers` (arch `nemotron_h`); MoE router / lm_head excluded
- Quantization: Q4_K_M · File: `CityQuest-Nemotron-3-Nano-4B-Q4_K_M.gguf`