Open-Source Model
A machine learning model whose source code, training data, and weights are publicly available for inspection, modification, and redistribution.
Example: NVIDIA Nemotron-3 Family
NVIDIA recently released the Nemotron-3 family of open-source models, featuring three sizes:
- Nano: 30-billion parameters (3-billion active via Mixture-of-Experts architecture).
- Super: 100-billion parameters (10-billion active).
- Ultra: 500-billion parameters (50-billion active).
The gary-explains channel reviewed the Nemotron-3 Nano in their video Nematron 3.
2026 04 14 Gary Explains channel Nematron 3
Source Notes
- 2026-04-23: Anthropic · ▶ source
- 2026-04-07: Agent Skills Why Code Enhances LLM Efficiency Over Markdown for Scrapi · ▶ source
- 2026-04-10: Meta Muse Spark Features Performance and Strategic Shift to Proprietar · ▶ source
- 2026-04-12: MiniMax M27 Open Source LLM Technical Overview and Deployment Summary · ▶ source
- 2026-04-13: MiniMax M27 Open Source LLM Rivaling Opus 46 with Agent Capabilities · ▶ source
- 2026-04-17: DeepMind Gemma 4 Open Efficient AI Empowering Local Device Execution · ▶ source
- 2026-04-26: DeepSeek · ▶ source