MLX
Safetensors
nemotron_h
oQe
enhanced
mixed-precision
Mixture of Experts
nvidia
custom_code
8-bit precision
Instructions to use splats/NVIDIA-Nemotron-3-Nano-30B-A3B-oQ8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use splats/NVIDIA-Nemotron-3-Nano-30B-A3B-oQ8e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NVIDIA-Nemotron-3-Nano-30B-A3B-oQ8e splats/NVIDIA-Nemotron-3-Nano-30B-A3B-oQ8e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 0cc6fb9b8de452eaa9d299b35bb0c51a6448c97c8586bd952669918c1d5714f9
- Size of remote file:
- 5.43 GB
- SHA256:
- 96d13b0f74d5b22a21dc4b22fe76aba364459017b5c3a18f8501fc34f964f05a
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