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NANI-Nithin/
CityQuest-Nemotron-3-Nano-4B-GGUF

Name: CityQuest-Nemotron-3-Nano-4B-GGUF
Availability: InStock

nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16

quantized

endpoints_compatible

conversational

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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

NANI-Nithin/CityQuest-Nemotron-3-Nano-4B-GGUF

CityQuest Nemotron 3 Nano 4B (Q4_K_M GGUF)

NANI-Nithin/
CityQuest-Nemotron-3-Nano-4B-GGUF