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nvidia
/
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4

Any-to-Any
Transformers
Safetensors
PyTorch
NemotronH_Nano_Omni_Reasoning_V3
feature-extraction
nvidia
multimodal
custom_code
8-bit precision
modelopt
Model card Files Files and versions
xet
Community
6

Instructions to use nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Hub documentation

`modeling_nemotron_h.py` missing `supports_gradient_checkpointing = True` (same as BF16/FP8)

#7 opened 13 days ago by
IshiiKosuke

Process to get this running on a DGX Spark with vLLM

#6 opened 14 days ago by
thinkitdata

Disappointed: English-only support for an omni model in 2026?

🔥 5
#5 opened 21 days ago by
mrwd2005
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