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:
- ce683500b2886415933443368380f5c4ecc59559d6c4b0f878d7899f1d2490fc
- Size of remote file:
- 5.43 GB
- SHA256:
- ad272088c27979bbfb2edc51366f74eb2719203231c565b05906574608d21acc
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