Nemotron 3 Nano Omni 30B A3B Reasoning BF16 is an open-source language model by nvidia. Features: 30b LLM, VRAM: 66.1GB, License: other, LLM Explorer Score: 0.42.
Custom code Dataset:nvidia/nemotron-image-... Feature-extraction Multimodal Nemotronh nano omni reasoning ... Nvidia Pytorch Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
Nemotron 3 Nano Omni 30B A3B Reasoning BF16 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Nemotron 3 Nano Omni 30B A3B Reasoning BF16 Parameters and Internals
| LLM Name | Nemotron 3 Nano Omni 30B A3B Reasoning BF16 |
| Repository 🤗 | https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 |
| Model Size | 30b |
| Required VRAM | 66.1 GB |
| Updated | 2026-04-28 |
| Maintainer | nvidia |
| Model Type | NemotronH_Nano_Omni_Reasoning_V3 |
| Model Files | |
| Model Architecture | NemotronH_Nano_Omni_Reasoning_V3 |
| License | other |
| Model Max Length | 262144 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|im_end|> |
| Torch Data Type | bfloat16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a