---
title: nvidia/NLD-Uni
url: https://recentmodel.com/models/nvidia/NLD-Uni/
status: just landed
published: 2026-10-05T17:47:03Z
updated: 2026-10-26T23:24:28Z
source: https://huggingface.co/nvidia/NLD-Uni
---

# nvidia/NLD-Uni

NLD-Uni is a unified multimodal model for image understanding and image generation. Dense, 18B params. Context: 128K tokens (config).


- **Org:** nvidia
- **Released:** 2026-10-05
- **Status:** just landed
- **License:** unknown
- **Parameters:** 18.3B
- **Architecture:** dense · NLDUniForCausalLM
- **Context:** 131,072 tokens
- **Task:** any-to-any · omni
- **Signal:** 2 HF likes · 9 downloads

## Runs on

estimate from params; sizing calculation, not tested.

- Q4 ~13.1 GB (estimated): 16GB GPU (5060 Ti / 4060 Ti / 4080 / 5080), 16GB GPU (7800 XT / 9070 XT), Mac 24GB
- Q8 ~21.5 GB (estimated): 24GB GPU (3090 / 4090), 32GB GPU (5090), 24GB GPU (7900 XTX), Arc B60 24GB, Arc B70 32GB, Mac 36GB, Mac 48GB, CPU only, 32GB RAM (slow)
- FP16 ~38.6 GB (estimated): 48GB GPU (RTX 6000 Ada / A6000), 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 64GB (M1 Max), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/nvidia/NLD-Uni)