NVIDIA-NeMo / Nemotron

# NVIDIA Nemotron Developer Repository
**Open and efficient models for agentic AI.** Training recipes, deployment guides, and use-case examples for the Nemotron family.
**Watch: Nemotron Overview**
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> 🎉**Nemotron 3.5 Super** is now released — a 120B-A12B hybrid Mamba-Transformer LatentMoE vision-language model with native Multi-Token Prediction and up to 1M context, built for multimodal agentic reasoning over text, images, and video. See the release blog, the technical report, the training recipe and the model weights.
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> 🎉**Nemotron 3.5 Lightning** is now released — a 30B-A3B hybrid Mamba-Transformer MoE with Multi-Token Prediction, built for the high-volume execution layer of long-running agents. See the release blog, the training recipe, and the model weights.
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> 🎉Nemotron 3 Ultra was announced at GTC San Jose 2026\. The model is open-source on Hugging Face, and the training recipe is now available in this repo\. To learn more, see the usage guide\!
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> 🎉**Nemotron 3 Nano Omni** is now released — a 30B-A3B hybrid Mamba-Transformer MoE with native text, image, video, and audio support, designed as a multimodal perception sub-agent for agentic AI. See the release blog, the training recipe, and the model weights.
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## Why Nemotron?
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|---|---|
| **Open Models** | Fully transparent training data, techniques, and weights for community innovation |
| **Compute Efficiency** | Model pruning and optimization enabling higher throughput via TensorRT-LLM |
| **High Accuracy** | Built on frontier open models with human-aligned reasoning for agentic workflows |
| **Flexible Deployment** | Deploy anywhere: edge, single GPU, or data center with NIM microservices |
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## Use from Claude Code
This repo ships a Claude Code plugin called **`nemotron-customize`** that turns the step catalog under `src/nemotron/steps/` into a guided, repo-native pipeline builder.
Install once:
 [code] 
Then, **start Claude Code from the repo root** and invoke the skill:
 [code] 
 [code] 
The skill resolves all file paths against your current working directory, so it must be invoked from the Nemotron checkout root. Running it from a subdirectory will cause file reads to fail.
The skill plans the step DAG, validates artifact wiring, and emits the YAML configs needed to run the requested pipeline. See `skills/nemotron-customize/SKILL.md` for the full contract.
> The marketplace installs **only** `nemotron-customize`. The other folders under `skills/` (model knowledge bases, contributor add-`*` skills) stay on disk for repo browsing but are not loaded as plugins.
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## Repository Overview
 [code] 
### Which section should I use?
| | **Nemotron Steps** | **Training Recipes** | **Usage Cookbooks** | **Use Case Examples** |
|---|---|---|---|---|
| **Purpose** | Full lifecycle building blocks, chain data prep, training, eval and other steps | Reproduce full training pipelines from raw data to model | Deploy and use trained models | Build end-to-end applications |
| **Format**