6-bit Open on Hugging Face
Parameters
1.9B
Weights (est.)
≈ 1.9 GB
Mac memory (est.)
8 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/NVIDIA-Nemotron-Nano-9B-v2-6bit --prompt "Hello"
Details
- Base model
- nvidia/NVIDIA-Nemotron-Nano-9B-v2 (finetune)
- Vendor
- NVIDIA
- Task
- Text generation
- Quantisation
- 6-bit
- Licence
- nvidia-open-model-license
- Downloads
- 337 in the last 30 days · 3.7K all time · 1 likes
- Published
- 2025-09-05 · updated 2025-09-05 (1y ago)
- Languages
- en, es, fr, de, it, ja
- Tags
- nvidia, pytorch
Other MLX builds of nvidia/NVIDIA-Nemotron-Nano-9B-v2
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| NVIDIA-Nemotron-Nano-9B-v2-4bits | 4-bit | ≈ 1.2 GB | 8 GB+ | 474 |
| NVIDIA-Nemotron-Nano-9B-v2-6bit (this one) | 6-bit | ≈ 1.9 GB | 8 GB+ | 337 |