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nemotron-super3

Official

Answer Super3 training and recipe questions fast.

Education & Research#nemotron#quantization#model architecture#super3#training stages#evaluation benchmarks#recipe mapping
AuthorNVIDIA-NeMo
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill removes the need to manually search across scattered papers, model-card notes, and recipe docs when you want facts about NVIDIA Nemotron 3 Super (Super3).

Core Features & Use Cases

  • Super3 knowledge desk: answers architecture, training stages (pretrain/SFT/RL/eval/quantization), evaluation setup, and deployment-oriented checkpoint differences.
  • Paper vs. open-repo clarity: consistently distinguishes reported research claims from what the released recipes can reproduce.
  • Routing-first retrieval: directs answers through the skill’s internal map (INDEX → quick reference → smallest relevant file) to ensure citations and scope correctness.

Quick Start

Ask the Skill how LatentMoE and MTP work in Nemotron 3 Super by invoking /nemotron-super3 and requesting an architecture explanation with the relevant paper sections.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: nemotron-super3
Download link: https://github.com/NVIDIA-NeMo/Nemotron/archive/main.zip#nemotron-super3

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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