Gary Explains channel. Nematron 3



https://www.youtube.com/watch?v=8gFAuYxJZ-A The provided video features a review and performance test of NVIDIA’s Nemotron-3 Nano, a 30-billion-parameter open-source AI model.


Overview: NVIDIA Nemotron-3 Family

NVIDIA recently released the Nemotron-3 family of open-source models, which includes three sizes:

In addition to the models, NVIDIA released training datasets, reinforcement learning environments, and libraries to help developers build specialized AI agents.


Performance Testing (Nano Model)

The reviewer tested the Nano model locally using Ollama on a PC with an RTX graphics card.

Task CategoryTest DescriptionResultDetails
Simple LogicAlice’s brothers and sisters riddlePASSCorrectly identified that each brother has four sisters.
Complex LogicHourglass time measurement (7 and 11 min)FAILFailed to provide a valid logical path for measuring 15 minutes.
Instruction FollowingFind unusual word, find synonym, reverse itPASSIdentified “quixotical,” chose “utopian,” and reversed it to “naipotu.”
Reading Comp.Multiple-choice questions on Magellan’s voyagePASSCorrectly answered all three specific questions based on the text.
Creative WritingOutline for a 1,500-word history essayPASSProvided a structured outline with appropriate word counts.
Creative WritingGenerate 20 blog titles from a promptPASSSuccessfully generated 20 relevant and engaging titles.
Creative WritingStar Wars review using “George Lucas” acrosticPASSEach sentence began with the consecutive letters of the director’s name.
Simple CodingPython script for character counting/hex conversionPASSThe generated code ran successfully and produced the correct output.
Complex CodingML-based Tic-Tac-Toe game in PythonFAILThe code was generated but failed to execute due to errors.

Final Verdict

The Nemotron-3 Nano is a highly capable model for its size, particularly when running locally.

  • Strengths: Excellent at reading comprehension, following complex multi-step instructions, and creative writing tasks.
  • Weaknesses: Struggles with advanced logic puzzles and complex programming tasks on the first attempt.
  • Optimization: Performs very well on NVIDIA hardware and is a strong contender for building specialized, efficient AI agents.