Any-to-Any
Transformers
Safetensors
NemotronH_Nano_Omni_Reasoning_V3
feature-extraction
multimodal
Merge
nvfp4
mixture-of-experts
speculative-decoding
custom_code
8-bit precision
modelopt
Instructions to use brazley/Brazley-Nemotron-3.5-Lightning-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brazley/Brazley-Nemotron-3.5-Lightning-Omni with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brazley/Brazley-Nemotron-3.5-Lightning-Omni", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add PROVENANCE.md - tensor-level provenance
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PROVENANCE.md
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# Tensor-level provenance
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Merged checkpoint (NVFP4). Every weight in this model is NVIDIA's, copied from a
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published NVIDIA checkpoint. No weight was trained, fine-tuned, distilled, or
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recomputed here.
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- `language_model.*` : nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 (OpenMDW-1.1)
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NVIDIA's published NVFP4 checkpoint, produced by PTQ and possibly QAD;
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we did not determine which. No weight was recomputed by us.
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- `vision_model.*`, `sound_encoder.*`, `mlp1.*`, `sound_projection.*` :
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nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4 (NVIDIA Open Model Agreement)
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BF16 in the source checkpoint; unquantized, copied byte-for-byte.
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- modeling / configuration / tokenizer / processor code: Omni repo, unmodified.
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Header-level rewrite only. No tensor was decoded, requantized or altered.
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'Nemotron' is an NVIDIA trademark. OpenMDW-1.1 grants copyright, patent, database
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and trade-secret rights and does NOT grant trademark rights; trademark use here is
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limited to identifying the origin of the source models. See NOTICE for attribution
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and LICENSE for the two governing agreements.
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