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nvidia
/
Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

Any-to-Any
Transformers
Safetensors
PyTorch
NemotronH_Nano_Omni_Reasoning_V3
feature-extraction
nvidia
multimodal
custom_code
Eval Results
Model card Files Files and versions
xet
Community
18

Instructions to use nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 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-BF16 with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

System prompt sent as a list of content parts is rendered as a Python repr

#18 opened 1 day ago by
omseeth

Add ParseBench evaluation results

#16 opened 3 months ago by
boyang-runllama

Update README.md

#15 opened 3 months ago by
Pq234

Multilingual model — testing for mobile deployment

#14 opened 4 months ago by
3morixd

Please support MTP

#13 opened 4 months ago by deleted

`modeling_nemotron_h.py` missing `supports_gradient_checkpointing = True` on `NemotronHPreTrainedModel`

#12 opened 5 months ago by
IshiiKosuke

Update README.md

1
#9 opened 5 months ago by
Ramon4areazn

Detecting Bugs

#8 opened 6 months ago by
GENKAI007

Fix pipeline_tag

#5 opened 6 months ago by
merve
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