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:
# pip install -U transformers accelerate # 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
Download hf_quant_config.json from brazley/Brazley-Nemotron-3.5-Lightning-Omni: direct link, hf CLI and curl.
- Browser
- Download file 851 kB
-
https://huggingface.co/brazley/Brazley-Nemotron-3.5-Lightning-Omni/resolve/78286ad1a087973d21669b80e9d47ded77e10752/hf_quant_config.json
- Command line
-
hf download hf://brazley/Brazley-Nemotron-3.5-Lightning-Omni@78286ad1a087973d21669b80e9d47ded77e10752/hf_quant_config.json
-
curl -L -o hf_quant_config.json https://huggingface.co/brazley/Brazley-Nemotron-3.5-Lightning-Omni/resolve/78286ad1a087973d21669b80e9d47ded77e10752/hf_quant_config.json
851 kB
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