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, )
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README.md
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base_model:
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# Read our How to [Run Nemotron 3 Nano Omni Guide!](https://unsloth.ai/docs/models/nemotron-3-nano-omni)
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- nvidia/nemotron-post-training-v3
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- nvidia/nemotron-pre-training-datasets
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base_model:
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- nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
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---
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# Read our How to [Run Nemotron 3 Nano Omni Guide!](https://unsloth.ai/docs/models/nemotron-3-nano-omni)
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