Text Generation
Safetensors
NemotronH_Nano_Omni_Reasoning_V3
nvidia
unsloth
nemotron-3
multimodal
conversational
custom_code
Instructions to use unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning", max_seq_length=2048, )
- Xet hash:
- d1f4004f07cfadcfc841246851887c2a29b7553a9eca4dd336726f57435e51fa
- Size of remote file:
- 17.1 MB
- SHA256:
- d0432ad8b1c2984a2e2dca82e1933e3fd5628df6e95c51fba4c3ee9950dce299
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